From 0fe9f858e70fb7bbae3673a8a971fac3acbdbd04 Mon Sep 17 00:00:00 2001 From: Natalie Diaz Date: Fri, 23 Jan 2026 09:43:00 -0800 Subject: [PATCH 1/3] Remove colabs that use legacy python client --- .../Drug_Discovery_With_Data_Commons.ipynb | 11861 ---------------- .../Missing_Data_Imputation_Tutorial.ipynb | 884 -- .../Place_Similarity_with_Data_Commons.ipynb | 3183 ----- notebooks/Protein_Browser.ipynb | 3945 ----- .../{v2 => }/analyzing_census_data.ipynb | 0 notebooks/analyzing_genomic_data.ipynb | 914 -- .../analyzing_income_distribution.ipynb | 0 .../analyzing_obesity_prevalence.ipynb | 0 .../Classification_and_Model_Evaluation.ipynb | 0 ...ta_Commons_For_Data_Science_Tutorial.ipynb | 0 .../Feature_Engineering.ipynb | 0 .../Introduction_to_Clustering.ipynb | 0 notebooks/intro_data_science/README.md | 1 - .../Regression_Basics_and_Prediction.ipynb | 0 ...ession_Evaluation_and_Interpretation.ipynb | 0 15 files changed, 20788 deletions(-) delete mode 100644 notebooks/Drug_Discovery_With_Data_Commons.ipynb delete mode 100644 notebooks/Missing_Data_Imputation_Tutorial.ipynb delete mode 100644 notebooks/Place_Similarity_with_Data_Commons.ipynb delete mode 100644 notebooks/Protein_Browser.ipynb rename notebooks/{v2 => }/analyzing_census_data.ipynb (100%) delete mode 100644 notebooks/analyzing_genomic_data.ipynb rename notebooks/{v2 => }/analyzing_income_distribution.ipynb (100%) rename notebooks/{v2 => }/analyzing_obesity_prevalence.ipynb (100%) rename notebooks/{v2 => }/intro_data_science/Classification_and_Model_Evaluation.ipynb (100%) rename notebooks/{v2 => }/intro_data_science/Data_Commons_For_Data_Science_Tutorial.ipynb (100%) rename notebooks/{v2 => }/intro_data_science/Feature_Engineering.ipynb (100%) rename notebooks/{v2 => }/intro_data_science/Introduction_to_Clustering.ipynb (100%) delete mode 100644 notebooks/intro_data_science/README.md rename notebooks/{v2 => }/intro_data_science/Regression_Basics_and_Prediction.ipynb (100%) rename notebooks/{v2 => }/intro_data_science/Regression_Evaluation_and_Interpretation.ipynb (100%) diff --git a/notebooks/Drug_Discovery_With_Data_Commons.ipynb b/notebooks/Drug_Discovery_With_Data_Commons.ipynb deleted file mode 100644 index 41891c1e..00000000 --- a/notebooks/Drug_Discovery_With_Data_Commons.ipynb +++ /dev/null @@ -1,11861 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Drug Discovery With Data Commons.ipynb", - "provenance": [], - "collapsed_sections": [], - "include_colab_link": true - }, - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "widgets": { - "application/vnd.jupyter.widget-state+json": { - "80bfc0c786b440e699da41246a7856a8": { - "model_module": "@jupyter-widgets/controls", - "model_name": "DropdownModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DropdownModel", - "_options_labels": [ - "1,4-phenylenediamine allergic contact dermatitis", - "1-chloro-2,4-dinitrobenzene allergic contact dermatitis", - "2,4-dinitrophenyl allergic contact dermatitis", - "2-aminoadipic 2-oxoadipic aciduria", - "2-hydroxyglutaric aciduria", - "3-M syndrome", - "3-Methylcrotonyl-CoA carboxylase 1 deficiency", - "3-Methylcrotonyl-CoA carboxylase 2 deficiency", - "3-Methylcrotonyl-CoA carboxylase deficiency", - "3-methylglutaconic aciduria", - "3-methylglutaconic aciduria type 1", - "3-methylglutaconic aciduria type 3", - "3-methylglutaconic aciduria type 4", - "3-methylglutaconic aciduria type 5", - "3-methylglutaconic aciduria type 8", - "3-methylglutaconic aciduria type 9", - "3-methylglutaconic aciduria with cataracts, neurologic involvement and neutropenia", - "3-methylglutaconic aciduria with deafness, encephalopathy, and Leigh-like syndrome", - "3MC syndrome", - "3MC syndrome 1", - "3MC syndrome 2", - "3MC syndrome 3", - "3p deletion syndrome", - "4-tert-butylphenol allergic contact dermatitis", - "4-vinylcyclohexene dioxide respiratory allergy", - "45,X/46,XY mixed gonadal dysgenesis", - "46 XX gonadal dysgenesis", - "46,XX sex reversal", - "46,XX sex reversal 1", - "46,XX sex reversal 2", - "46,XX sex reversal 3", - "46,XX sex reversal 4", - "46,XY sex reversal", - "46,XY sex reversal 1", - "46,XY sex reversal 10", - "46,XY sex reversal 2", - "46,XY sex reversal 3", - "46,XY sex reversal 4", - "46,XY sex reversal 5", - "46,XY sex reversal 6", - "46,XY sex reversal 7", - "46,XY sex reversal 8", - "46,XY sex reversal 9", - "Aagenaes syndrome", - "Aarskog syndrome", - "abacavir allergy", - "ABCD syndrome", - "abdominal aortic aneurysm", - "abdominal obesity-metabolic syndrome", - "abdominal obesity-metabolic syndrome 1", - "abdominal obesity-metabolic syndrome 3", - "abdominal tuberculosis", - "abducens nerve disease", - "abducens nerve neoplasm", - "abetalipoproteinemia", - "ablepharon macrostomia syndrome", - "abnormal pupillary function", - "abnormal retinal correspondence", - "abnormal threshold of rods", - "abnormality of glucagon secretion", - "absence epilepsy", - "acalculous cholecystitis", - "acanthocephaliasis", - "acantholytic acanthoma", - "acantholytic squamous cell skin carcinoma", - "acantholytic variant squamous cell breast carcinoma", - "acanthoma", - "acanthosis nigricans", - "acatalasia", - "accessory nerve disease", - "accommodative esotropia", - "accommodative spasm", - "aceruloplasminemia", - "achalasia", - "achalasia microcephaly syndrome", - "Achard syndrome", - "acheiropody", - "Achenbach syndrome", - "Achilles bursitis", - "achondrogenesis", - "achondrogenesis type IA", - "achondrogenesis type IB", - "achondrogenesis type II", - "achondroplasia", - "achromatopsia", - "achromatopsia 2", - "achromatopsia 3", - "achromatopsia 4", - "achromatopsia 7", - "acid anhydride respiratory allergy", - "acidophil adenoma", - "acinar cell carcinoma", - "acinar cell cystadenocarcinoma", - "Acinetobacter infectious disease", - "acinic cell breast carcinoma", - "acne", - "acneiform dermatitis", - "acoustic neuroma", - "acquired color blindness", - "acquired gastric outlet stenosis", - "acquired generalized lipodystrophy", - "acquired hemangioma", - "acquired hyperkeratosis", - "acquired immunodeficiency syndrome", - "acquired metabolic disease", - "acquired night blindness", - "acquired polycythemia", - "acquired tear duct stenosis", - "acquired thrombocytopenia", - "acquired von Willebrand syndrome", - "acral lentiginous melanoma", - "acrocallosal syndrome", - "acrocapitofemoral dysplasia", - "acrocephalosyndactylia", - "acrodermatitis", - "acrodermatitis chronica atrophicans", - "acrodermatitis enteropathica", - "acrodysostosis", - "acrofacial dysostosis", - "acrofacial dysostosis Cincinnati type", - "acrofacial dysostosis Rodriguez type", - "acrofacial dysostosis, Catania type", - "acrofacial dysostosis, Patagonia type", - "acrofrontofacionasal dysostosis", - "acrokeratosis verruciformis", - "acromegaly", - "acromelic frontonasal dysostosis", - "acromesomelic dysplasia", - "acromesomelic dysplasia, Grebe type", - "acromesomelic dysplasia, Hunter-Thompson type", - "acromesomelic dysplasia, Maroteaux type", - "acromicric dysplasia", - "acrorenal syndrome", - "ACTH-independent macronodular adrenal hyperplasia", - "ACTH-independent macronodular adrenal hyperplasia 1", - "ACTH-independent macronodular adrenal hyperplasia 2", - "ACTH-secreting pituitary adenoma", - "actinic keratosis", - "actinobacillosis", - "actinomycosis", - "active cochlear Meniere's disease", - "active cochleovestibular Meniere's disease", - "active peptic ulcer disease", - "active vestibular Meniere's disease", - "acute allergic mucoid otitis media", - "acute allergic sanguinous otitis media", - "acute allergic serous otitis media", - "acute anterolateral myocardial infarction", - "acute apical periodontitis", - "acute canaliculitis", - "acute cervicitis", - "acute chest syndrome", - "acute cholangitis", - "acute closed-angle glaucoma", - "acute conjunctivitis", - "acute contagious conjunctivitis", - "acute cor pulmonale", - "acute cystitis", - "acute dacryoadenitis", - "acute dacryocystitis", - "acute diarrhea", - "acute diffuse nephritis", - "acute disseminated encephalomyelitis", - "acute endometritis", - "acute endophthalmitis", - "acute ethmoiditis", - "acute eustachian salpingitis", - "acute female pelvic peritonitis", - "acute frontal sinusitis", - "acute gonococcal cervicitis", - "acute gonococcal cystitis", - "acute gonococcal endometritis", - "acute gonococcal epididymo-orchitis", - "acute gonococcal prostatitis", - "acute gonococcal salpingitis", - "acute hemorrhagic conjunctivitis", - "acute hemorrhagic encephalitis", - "acute hemorrhagic leukoencephalitis", - "acute hydrops keratoconus", - "acute infection of pinna", - "acute inferolateral myocardial infarction", - "acute inferoposterior infarction", - "acute inflammation of lacrimal passage", - "acute intermittent porphyria", - "acute interstitial pneumonia", - "acute kidney failure", - "acute kidney tubular necrosis", - "acute laryngitis", - "acute laryngopharyngitis", - "acute leukemia", - "acute lymphoblastic leukemia", - "acute maxillary sinusitis", - "acute monocytic leukemia", - "acute myeloid leukemia", - "acute myocardial infarction", - "acute myocarditis", - "acute necrotizing encephalitis", - "acute orbital inflammation", - "acute pancreatitis", - "acute pericementitis", - "acute perichondritis of pinna", - "acute porphyria", - "acute poststreptococcal glomerulonephritis", - "acute proliferative glomerulonephritis", - "acute promyelocytic leukemia", - "acute pulmonary heart disease", - "acute pyelonephritis", - "acute retinal necrosis syndrome", - "acute retrobulbar neuritis", - "acute salpingitis", - "acute salpingo-oophoritis", - "acute sanguinous otitis media", - "acute serous otitis media", - "acute sphenoidal sinusitis", - "acute stress disorder", - "acute thyroiditis", - "acute transudative otitis media", - "acute tympanitis", - "acute vascular insufficiency of intestine", - "adamantinoid basal cell epithelioma", - "adamantinoma", - "adamantinous craniopharyngioma", - "Adams-Oliver syndrome", - "Addison's disease", - "adenine phosphoribosyltransferase deficiency", - "adenocarcinoma", - "adenocarcinoma in situ", - "adenofibroma", - "adenoid basal cell carcinoma", - "adenoid cystic carcinoma", - "adenoid hypertrophy", - "adenoid squamous cell carcinoma", - "adenoiditis", - "adenoma", - "adenomatoid tumor", - "adenomyoma", - "adenomyoma of uterine corpus", - "adenosarcoma", - "adenosine deaminase deficiency", - "adenosquamous bile duct carcinoma", - "adenosquamous breast carcinoma", - "adenosquamous carcinoma", - "adenosquamous colon carcinoma", - "adenosquamous gallbladder carcinoma", - "adenosquamous lung carcinoma", - "adenosquamous prostate carcinoma", - "adenylosuccinase lyase deficiency", - "adermatoglyphia", - "adhesions of uterus", - "adhesive otitis media", - "adiaspiromycosis", - "Adie syndrome", - "adiposis dolorosa", - "adjustment disorder", - "adolescence-adult electroclinical syndrome", - "adrenal adenoma", - "adrenal carcinoma", - "adrenal cortex cancer", - "adrenal cortex disease", - "adrenal cortical adenocarcinoma", - "adrenal cortical adenoma", - "adrenal cortical hypofunction", - "adrenal gland cancer", - "adrenal gland disease", - "adrenal gland ganglioneuroblastoma", - "adrenal gland hyperfunction", - "adrenal gland pheochromocytoma", - "adrenal medulla cancer", - "adrenal medulla carcinoma", - "adrenal neuroblastoma", - "adrenal rest tumor", - "adrenocortical carcinoma", - "adrenocorticotropic hormone deficiency", - "adrenoleukodystrophy", - "adult acute lymphocytic leukemia", - "adult acute monocytic leukemia", - "adult astrocytic tumour", - "adult botryoid rhabdomyosarcoma", - "adult brain ependymoma", - "adult brain stem glioma", - "adult brainstem astrocytoma", - "adult brainstem gliosarcoma", - "adult brainstem mixed glioma", - "adult central nervous system choriocarcinoma", - "adult central nervous system embryonal carcinoma", - "adult central nervous system germinoma", - "adult central nervous system immature teratoma", - "adult central nervous system mature teratoma", - "adult central nervous system mixed germ cell tumor", - "adult central nervous system primitive neuroectodermal neoplasm", - "adult central nervous system teratoma", - "adult cerebellar neoplasm", - "adult choroid plexus cancer", - "adult cystic nephroma", - "adult cystic teratoma", - "adult dermatomyositis", - "adult endodermal sinus tumor", - "adult ependymoblastoma", - "adult epithelioid sarcoma", - "adult extraosseous chondrosarcoma", - "adult extraosseous osteosarcoma", - "adult fibrosarcoma", - "adult hepatocellular carcinoma", - "adult hypophosphatasia", - "adult infiltrating astrocytic neoplasm", - "adult intracranial malignant hemangiopericytoma", - "adult leptomeningeal melanoma", - "adult liposarcoma", - "adult lymphoma", - "adult malignant hemangiopericytoma", - "adult malignant mesenchymoma", - "adult malignant schwannoma", - "adult medulloblastoma", - "adult mesenchymal chondrosarcoma", - "adult myxoid chondrosarcoma", - "adult oligodendroglioma", - "adult papillary meningioma", - "adult pineal parenchymal tumor", - "adult pineoblastoma", - "adult pleomorphic rhabdomyosarcoma", - "adult respiratory distress syndrome", - "adult spinal cord ependymoma", - "adult spinal cord glioblastoma multiforme", - "adult spinal muscular atrophy", - "ADULT syndrome", - "adult T-cell leukemia", - "adult teratoma", - "adult type testicular granulosa cell tumor", - "adult vagina botryoid rhabdomyosarcoma", - "adult xanthogranuloma", - "adult-onset ataxia and polyneuropathy", - "adult-onset autosomal dominant demyelinating leukodystrophy", - "adult-onset leukoencephalopathy with axonal spheroids and pigmented glia", - "adult-onset Still's disease", - "adult-onset type II citrullinemia", - "advanced sleep phase syndrome", - "advanced sleep phase syndrome 1", - "advanced sleep phase syndrome 2", - "advanced sleep phase syndrome 3", - "afferent loop syndrome", - "aflatoxins-related hepatocellular carcinoma", - "African histoplasmosis", - "African iron overload", - "African tick-bite fever", - "agammaglobulinemia", - "agammaglobulinemia 4", - "agammaglobulinemia 5", - "AGAT deficiency", - "age related macular degeneration", - "age related macular degeneration 1", - "age related macular degeneration 10", - "age related macular degeneration 11", - "age related macular degeneration 12", - "age related macular degeneration 13", - "age related macular degeneration 14", - "age related macular degeneration 15", - "age related macular degeneration 2", - "age related macular degeneration 4", - "age related macular degeneration 5", - "age related macular degeneration 6", - "age related macular degeneration 7", - "age related macular degeneration 8", - "age related macular degeneration 9", - "agenesis of the corpus callosum with peripheral neuropathy", - "aggressive digital papillary adenocarcinoma", - "aggressive NK-cell leukemia", - "aggressive periodontitis", - "aggressive systemic mastocytosis", - "agnathia-otocephaly complex", - "agnosia", - "agoraphobia", - "agranulocytosis", - "agraphia", - "Aicardi syndrome", - "Aicardi-Goutieres syndrome", - "AIDS phobia", - "ainhum", - "akinetic mutism", - "akinetopsia", - "Alagille syndrome", - "Aland Island eye disease", - "Albright's hereditary osteodystrophy", - "alcohol dependence", - "alcohol use disorder", - "alcohol-induced mental disorder", - "alcohol-related birth defect", - "alcohol-related neurodevelopmental disorder", - "alcoholic cardiomyopathy", - "alcoholic gastritis", - "alcoholic hepatitis", - "alcoholic liver cirrhosis", - "alcoholic neuropathy", - "alcoholic pancreatitis", - "alcoholic psychosis", - "alcuronium bromide allergy", - "aleukemic leukemia", - "aleukemic leukemia cutis", - "aleukemic monocytic leukemia cutis", - "aleutian mink disease", - "Alexander disease", - "alexia", - "alexithymia", - "algoneurodystrophy", - "alkaptonuria", - "Alkhurma hemorrhagic fever", - "Alkuraya-Kucinskas syndrome", - "Allan-Herndon-Dudley syndrome", - "allergic asthma", - "allergic bronchopulmonary aspergillosis", - "allergic conjunctivitis", - "allergic contact dermatitis", - "allergic contact dermatitis of eyelid", - "allergic cutaneous vasculitis", - "allergic hypersensitivity disease", - "allergic rhinitis", - "allergic urticaria", - "allescheriosis", - "alopecia", - "alopecia areata", - "alopecia universalis", - "alopecia-mental retardation syndrome", - "alopecia-mental retardation syndrome 1", - "alopecia-mental retardation syndrome 2", - "alpha 1-antitrypsin deficiency", - "alpha chain disease", - "alpha thalassemia", - "alpha thalassemia-intellectual disability syndrome type 1", - "alpha thalassemia-X-linked intellectual disability syndrome", - "alpha-2-plasmin inhibitor deficiency", - "alpha-mannosidosis", - "alpha-methylacyl-CoA racemase deficiency", - "Alport syndrome", - "Alstrom syndrome", - "alternating esotropia", - "alternating exotropia", - "alternating hemiplegia of childhood", - "alveolar echinococcosis", - "alveolar periostitis", - "alveolar rhabdomyosarcoma", - "alveolar soft part sarcoma", - "alveoli adenoma", - "Alzheimer's disease", - "Alzheimer's disease 1", - "Alzheimer's disease 10", - "Alzheimer's disease 11", - "Alzheimer's disease 12", - "Alzheimer's disease 13", - "Alzheimer's disease 14", - "Alzheimer's disease 15", - "Alzheimer's disease 16", - "Alzheimer's disease 17", - "Alzheimer's disease 18", - "Alzheimer's disease 19", - "Alzheimer's disease 2", - "Alzheimer's disease 3", - "Alzheimer's disease 4", - "Alzheimer's disease 5", - "Alzheimer's disease 6", - "Alzheimer's disease 7", - "Alzheimer's disease 8", - "Alzheimer's disease 9", - "amblyopia", - "Ambras type hypertrichosis universalis congenita", - "amebiasis", - "amelanotic melanoma", - "ameloblastoma", - "amelogenesis imperfecta", - "amelogenesis imperfecta hypomaturation type 2A2", - "amelogenesis imperfecta hypomaturation type 2A3", - "amelogenesis imperfecta hypomaturation type 2A4", - "amelogenesis imperfecta hypomaturation type 2A5", - "amelogenesis imperfecta type 1A", - "amelogenesis imperfecta type 1B", - "amelogenesis imperfecta type 1C", - "amelogenesis imperfecta type 1E", - "amelogenesis imperfecta type 1F", - "amelogenesis imperfecta type 1G", - "amelogenesis imperfecta type 1H", - "amelogenesis imperfecta type 2A1", - "amelogenesis imperfecta type 3", - "amelogenesis imperfecta type 3A", - "amelogenesis imperfecta type 3B", - "amelogenesis imperfecta type 3C", - "amelogenesis imperfecta type 4", - "amenorrhea", - "American histoplasmosis", - "ametropic amblyopia", - "amino acid metabolic disorder", - "aminoglycoside-induced deafness", - "amnestic disorder", - "amodiaquine allergy", - "amoxicillin allergy", - "amphetamine abuse", - "ampulla of Vater adenocarcinoma", - "ampulla of Vater adenosquamous carcinoma", - "ampulla of Vater cancer", - "ampulla of Vater carcinoma", - "ampulla of Vater clear cell adenocarcinoma", - "ampulla of Vater mucinous adenocarcinoma", - "ampulla of Vater neoplasm", - "ampulla of Vater small cell carcinoma", - "ampulla of Vater squamous cell carcinoma", - "ampullary signet ring cell adenocarcinoma", - "amusia", - "amyloid tumor", - "amyloidosis", - "amyotrophic lateral sclerosis", - "amyotrophic lateral sclerosis type 1", - "amyotrophic lateral sclerosis type 10", - "amyotrophic lateral sclerosis type 11", - "amyotrophic lateral sclerosis type 12", - "amyotrophic lateral sclerosis type 13", - "amyotrophic lateral sclerosis type 14", - "amyotrophic lateral sclerosis type 15", - "amyotrophic lateral sclerosis type 16", - "amyotrophic lateral sclerosis type 17", - "amyotrophic lateral sclerosis type 18", - "amyotrophic lateral sclerosis type 19", - "amyotrophic lateral sclerosis type 2", - "amyotrophic lateral sclerosis type 20", - "amyotrophic lateral sclerosis type 21", - "amyotrophic lateral sclerosis type 22", - "amyotrophic lateral sclerosis type 23", - "amyotrophic lateral sclerosis type 3", - "amyotrophic lateral sclerosis type 4", - "amyotrophic lateral sclerosis type 5", - "amyotrophic lateral sclerosis type 6", - "amyotrophic lateral sclerosis type 7", - "amyotrophic lateral sclerosis type 8", - "amyotrophic lateral sclerosis type 9", - "amyotrophic lateral sclerosis-parkinsonism/dementia complex 1", - "amyotrophic neuralgia", - "anaerobic meningitis", - "anaerobic pneumonia", - "anal Buschke-Lowenstein tumor", - "anal canal adenocarcinoma", - "anal canal cancer", - "anal canal carcinoma", - "anal canal Paget's disease", - "anal canal squamous cell carcinoma", - "anal carcinoma", - "anal carcinoma in situ", - "anal colloid adenocarcinoma", - "anal fistula", - "anal gland adenocarcinoma", - "anal gland neoplasm", - "anal margin basal cell carcinoma", - "anal margin carcinoma", - "anal margin squamous cell carcinoma", - "anal neuroendocrine tumor", - "anal Paget's disease", - "anal spasm", - "anal squamous cell carcinoma", - "anaplastic large cell lymphoma", - "anatomical narrow angle borderline glaucoma", - "anauxetic dysplasia 1", - "ancylostomiasis", - "Andersen-Tawil syndrome", - "androgen insensitivity syndrome", - "androgenic alopecia", - "anemia", - "anemia of prematurity", - "anencephaly", - "aneruptive fever", - "Angelman syndrome", - "Angelucci's syndrome", - "angiodysplasia", - "angiodysplasia of intestine", - "angioedema", - "angioid streaks", - "angioid streaks of choroid", - "angioimmunoblastic T-cell lymphoma", - "angiokeratoma", - "angiokeratoma circumscriptum", - "angiokeratoma of Fordyce", - "angiokeratoma of mibelli", - "angiolipoma", - "angioma serpiginosum", - "angiomatous meningioma", - "angiomyolipoma", - "angiomyoma", - "angiosarcoma", - "angiostrongyliasis", - "angle-closure glaucoma", - "angular blepharoconjunctivitis", - "angular cheilitis", - "anhidrosis", - "animal phobia", - "aniridia", - "anisakiasis", - "aniseikonia", - "anismus", - "anisometropia", - "ankyloblepharon-ectodermal defects-cleft lip/palate syndrome", - "ankyloglossia", - "ankylosing spondylitis", - "ankylosing spondylitis 1", - "ankylosing spondylitis 2", - "ankylosing spondylitis 3", - "ankylosis", - "ankyrin-B-related cardiac arrhythmia", - "annular pancreas", - "anodontia", - "anogenital venereal wart", - "anomalous left coronary artery from the pulmonary artery", - "anorectal stricture", - "anorexia nervosa", - "anosognosia", - "anovulation", - "anterior cerebral artery infarction", - "anterior compartment syndrome", - "anterior corneal pigmentation", - "anterior cranial fossa meningioma", - "anterior dislocation of lens", - "anterior foramen magnum meningioma", - "anterior horn cell disease", - "anterior ischemic optic neuropathy", - "anterior optic tract meningioma", - "anterior scleritis", - "anterior segment dysgenesis", - "anterior segment dysgenesis 1", - "anterior segment dysgenesis 2", - "anterior segment dysgenesis 3", - "anterior segment dysgenesis 4", - "anterior segment dysgenesis 5", - "anterior segment dysgenesis 6", - "anterior segment dysgenesis 7", - "anterior segment dysgenesis 8", - "anterior spinal artery syndrome", - "anterior urethra cancer", - "anterior uveitis", - "anterograde amnesia", - "anterolateral myocardial infarction", - "anteroseptal myocardial infarction", - "anthracosilicosis", - "anthracosis", - "anthrax disease", - "anti-basement membrane glomerulonephritis", - "antidepressant type abuse", - "antiphospholipid syndrome", - "antisocial personality disorder", - "antithrombin III deficiency", - "Antley-Bixler syndrome", - "anuria", - "anus adenocarcinoma", - "anus basaloid carcinoma", - "anus benign neoplasm", - "anus cancer", - "anus disease", - "anus leiomyoma", - "anus leiomyosarcoma", - "anus lymphoma", - "anus rhabdomyosarcoma", - "anus sarcoma", - "anxiety disorder", - "aorta angiosarcoma", - "aorta atresia", - "aortic aneurysm", - "aortic atherosclerosis", - "aortic disease", - "aortic malignant tumor", - "aortic valve disease", - "aortic valve disease 1", - "aortic valve disease 2", - "aortic valve insufficiency", - "aortic valve prolapse", - "aortic valve stenosis", - "aortitis", - "aphasia", - "aphthous stomatitis", - "apical myocardial infarction", - "aplasia of lacrimal and salivary glands", - "aplastic anemia", - "apocrine adenocarcinoma", - "apocrine adenoma", - "apocrine adenosis of breast", - "apocrine sweat gland cancer", - "apocrine sweat gland neoplasm", - "apolipoprotein C-III deficiency", - "APP-related cerebral amyloid angiopathy", - "apparent mineralocorticoid excess syndrome", - "appendiceal L-cell glucagon-like peptide producing tumor", - "appendiceal neoplasm", - "appendicitis", - "appendix adenocarcinoma", - "appendix cancer", - "appendix carcinoid tumor", - "appendix carcinoma", - "appendix disease", - "appendix leiomyoma", - "appendix lymphoma", - "appendix mucinous cystadenocarcinoma", - "apperceptive agnosia", - "apple allergy", - "apraxia", - "apricot allergy", - "aqueous misdirection", - "arachnoiditis", - "ARC syndrome", - "arcus senilis", - "Arenaviridae infectious disease", - "Argentine hemorrhagic fever", - "argininosuccinic aciduria", - "Argyll Robertson pupil", - "Armfield syndrome", - "aromatase excess syndrome", - "aromatic L-amino acid decarboxylase deficiency", - "arrhythmogenic right ventricular cardiomyopathy", - "arrhythmogenic right ventricular dysplasia 1", - "arrhythmogenic right ventricular dysplasia 10", - "arrhythmogenic right ventricular dysplasia 11", - "arrhythmogenic right ventricular dysplasia 12", - "arrhythmogenic right ventricular dysplasia 13", - "arrhythmogenic right ventricular dysplasia 2", - "arrhythmogenic right ventricular dysplasia 3", - "arrhythmogenic right ventricular dysplasia 4", - "arrhythmogenic right ventricular dysplasia 5", - "arrhythmogenic right ventricular dysplasia 6", - "arrhythmogenic right ventricular dysplasia 8", - "arrhythmogenic right ventricular dysplasia 9", - "arterial calcification of infancy", - "arterial tortuosity syndrome", - "arteriolosclerosis", - "arteriosclerosis", - "arteriosclerosis obliterans", - "arteriosclerotic cardiovascular disease", - "arteriovenous malformation", - "arteriovenous malformations of the brain", - "arteritic anterior ischemic optic neuropathy", - "artery disease", - "arthritis", - "arthrogryposis due to muscular dystrophy", - "arthrogryposis, renal dysfunction, and cholestasis 1", - "arthrogryposis, renal dysfunction, and cholestasis 2", - "arthropathy", - "arthus reaction", - "articular cartilage disease", - "articulation disorder", - "Arts syndrome", - "aryepiglottic fold cancer", - "asbestos-related lung carcinoma", - "asbestosis", - "ascariasis", - "ascaridiasis", - "ascending cholangitis", - "ascending colon cancer", - "aseptic meningitis", - "Askin's tumor", - "aspartylglucosaminuria", - "Asperger syndrome", - "aspergillosis", - "asphyxia neonatorum", - "asphyxiating thoracic dystrophy", - "asphyxiating thoracic dystrophy 1", - "asphyxiating thoracic dystrophy 2", - "asphyxiating thoracic dystrophy 3", - "asphyxiating thoracic dystrophy 4", - "asphyxiating thoracic dystrophy 5", - "aspiration pneumonia", - "aspiration pneumonitis", - "aspirin allergy", - "associative agnosia", - "astereognosia", - "asthma", - "asthma, nasal polyps, and aspirin intolerance", - "astigmatism", - "Astrakhan spotted fever", - "astroblastoma", - "astrocytoma", - "asymmetric motor neuropathy", - "asymptomatic dengue", - "asymptomatic neurosyphilis", - "asynchronous multifocal osteogenic sarcoma", - "ataxia telangiectasia", - "ataxia with oculomotor apraxia type 1", - "ataxia with oculomotor apraxia type 2", - "ataxia with oculomotor apraxia type 3", - "ataxic cerebral palsy", - "atelosteogenesis", - "Athabaskan brainstem dysgenesis syndrome", - "atheroembolism of kidney", - "atherosclerosis", - "Atlantic cod allergy", - "Atlantic salmon allergy", - "atopic dermatitis", - "atopic dermatitis 2", - "atopic dermatitis 3", - "atopic dermatitis 4", - "atopic dermatitis 5", - "atopic dermatitis 6", - "atopic dermatitis 7", - "atopic dermatitis 8", - "atopic dermatitis 9", - "atransferrinemia", - "atrial fibrillation", - "atrial heart septal defect", - "atrial heart septal defect 1", - "atrial heart septal defect 2", - "atrial heart septal defect 3", - "atrial heart septal defect 4", - "atrial heart septal defect 5", - "atrial heart septal defect 6", - "atrial heart septal defect 7", - "atrial heart septal defect 8", - "atrial heart septal defect 9", - "atrichia with papular lesions", - "atrioventricular block", - "atrioventricular septal defect", - "atrophic flaccid tympanic membrane", - "atrophic gastritis", - "atrophic glossitis", - "atrophic muscular disease", - "atrophic nonflaccid tympanic membrane", - "atrophic rhinitis", - "atrophic vulva", - "atrophy of prostate", - "atrophy of testis", - "attention deficit hyperactivity disorder", - "atypical autism", - "atypical breast papilloma", - "atypical choroid plexus papilloma", - "atypical chronic myeloid leukemia", - "atypical depressive disorder", - "atypical follicular adenoma", - "atypical Gaucher's disease due to saposin c deficiency", - "atypical hemolytic-uremic syndrome", - "atypical hereditary sensory neuropathy", - "atypical neurofibroma", - "atypical polypoid adenomyoma", - "atypical teratoid rhabdoid tumor", - "auditory agnosia", - "auditory system benign neoplasm", - "auditory system cancer", - "auditory system disease", - "autism spectrum disorder", - "autistic disorder", - "autoimmune atherosclerosis", - "autoimmune cardiomyopathy", - "autoimmune disease of blood", - "autoimmune disease of cardiovascular system", - "autoimmune disease of central nervous system", - "autoimmune disease of endocrine system", - "autoimmune disease of exocrine system", - "autoimmune disease of eyes, ear, nose and throat", - "autoimmune disease of gastrointestinal tract", - "autoimmune disease of musculoskeletal system", - "autoimmune disease of peripheral nervous system", - "autoimmune disease of skin and connective tissue", - "autoimmune disease of the nervous system", - "autoimmune disease of urogenital tract", - "autoimmune gastritis", - "autoimmune glomerulonephritis", - "autoimmune hemolytic anemia", - "autoimmune hepatitis", - "autoimmune hypersensitivity disease", - "autoimmune lymphoproliferative syndrome", - "autoimmune lymphoproliferative syndrome type 2A", - "autoimmune lymphoproliferative syndrome type 2B", - "autoimmune lymphoproliferative syndrome type 3", - "autoimmune lymphoproliferative syndrome type 4", - "autoimmune neuropathy", - "autoimmune optic neuritis", - "autoimmune pancreatitis", - "autoimmune peripheral neuropathy", - "autoimmune polyendocrine syndrome", - "autoimmune polyendocrine syndrome type 1", - "autoimmune polyendocrine syndrome type 2", - "autoimmune thrombocytopenic purpura", - "autoimmune thyroiditis", - "autoimmune uveitis", - "autoimmune vasculitis", - "autonomic nervous system benign neoplasm", - "autonomic nervous system disease", - "autonomic nervous system neoplasm", - "autonomic neuropathy", - "autonomic peripheral neuropathy", - "autosomal dominant adult-onset proximal spinal muscular atrophy", - "autosomal dominant Alport syndrome", - "autosomal dominant auditory neuropathy 1", - "autosomal dominant centronuclear myopathy", - "autosomal dominant cerebellar ataxia", - "autosomal dominant cerebellar ataxia, deafness and narcolepsy", - "autosomal dominant chondrodysplasia punctata", - "autosomal dominant chronic granulomatous disease", - "autosomal dominant cutis laxa", - "autosomal dominant cutis laxa 1", - "autosomal dominant cutis laxa 2", - "autosomal dominant cutis laxa 3", - "autosomal dominant disease", - "autosomal dominant distal hereditary motor neuronopathy", - "autosomal dominant dyskeratosis congenita 1", - "autosomal dominant dyskeratosis congenita 2", - "autosomal dominant dyskeratosis congenita 3", - "autosomal dominant dyskeratosis congenita 4", - "autosomal dominant dyskeratosis congenita 6", - "autosomal dominant dystrophic epidermolysis bullosa", - "autosomal dominant Emery-Dreifuss muscular dystrophy 2", - "autosomal dominant Emery-Dreifuss muscular dystrophy 4", - "autosomal dominant Emery-Dreifuss muscular dystrophy 5", - "autosomal dominant Emery-Dreifuss muscular dystrophy 7", - "autosomal dominant endosteal hyperostosis", - "autosomal dominant familial periodic fever", - "autosomal dominant hyaline body myopathy", - "autosomal dominant hypocalcemia", - "autosomal dominant hypocalcemia 1", - "autosomal dominant hypocalcemia 2", - "autosomal dominant hypophosphatemic rickets", - "autosomal dominant isolated ectopia lentis 1", - "autosomal dominant keratitis", - "autosomal dominant keratitis-ichthyosis-deafness syndrome", - "autosomal dominant limb-girdle muscular dystrophy", - "autosomal dominant limb-girdle muscular dystrophy type 1", - "autosomal dominant limb-girdle muscular dystrophy type 1H", - "autosomal dominant limb-girdle muscular dystrophy type 2", - "autosomal dominant limb-girdle muscular dystrophy type 3", - "autosomal dominant macrothrombocytopenia TUBB1-related", - "autosomal dominant mental retardation 20", - "autosomal dominant mental retardation 45", - "autosomal dominant mental retardation 46", - "autosomal dominant mental retardation 47", - "autosomal dominant mental retardation 48", - "autosomal dominant mental retardation 49", - "autosomal dominant mental retardation 50", - "autosomal dominant mental retardation 51", - "autosomal dominant mental retardation 52", - "autosomal dominant mental retardation 53", - "autosomal dominant mental retardation 54", - "autosomal dominant mental retardation 55", - "autosomal dominant mental retardation 56", - "autosomal dominant microcephaly", - "autosomal dominant nocturnal frontal lobe epilepsy", - "autosomal dominant nocturnal frontal lobe epilepsy 1", - "autosomal dominant nocturnal frontal lobe epilepsy 2", - "autosomal dominant nocturnal frontal lobe epilepsy 3", - "autosomal dominant nocturnal frontal lobe epilepsy 4", - "autosomal dominant nocturnal frontal lobe epilepsy 5", - "autosomal dominant non-syndromic intellectual disability", - "autosomal dominant non-syndromic intellectual disability 1", - "autosomal dominant non-syndromic intellectual disability 10", - "autosomal dominant non-syndromic intellectual disability 11", - "autosomal dominant non-syndromic intellectual disability 13", - "autosomal dominant non-syndromic intellectual disability 18", - "autosomal dominant non-syndromic intellectual disability 19", - "autosomal dominant non-syndromic intellectual disability 2", - "autosomal dominant non-syndromic intellectual disability 21", - "autosomal dominant non-syndromic intellectual disability 22", - "autosomal dominant non-syndromic intellectual disability 23", - "autosomal dominant non-syndromic intellectual disability 24", - "autosomal dominant non-syndromic intellectual disability 26", - "autosomal dominant non-syndromic intellectual disability 27", - "autosomal dominant non-syndromic intellectual disability 29", - "autosomal dominant non-syndromic intellectual disability 3", - "autosomal dominant non-syndromic intellectual disability 30", - "autosomal dominant non-syndromic intellectual disability 31", - "autosomal dominant non-syndromic intellectual disability 32", - "autosomal dominant non-syndromic intellectual disability 33", - "autosomal dominant non-syndromic intellectual disability 34", - "autosomal dominant non-syndromic intellectual disability 35", - "autosomal dominant non-syndromic intellectual disability 36", - "autosomal dominant non-syndromic intellectual disability 38", - "autosomal dominant non-syndromic intellectual disability 39", - "autosomal dominant non-syndromic intellectual disability 4", - "autosomal dominant non-syndromic intellectual disability 40", - "autosomal dominant non-syndromic intellectual disability 41", - "autosomal dominant non-syndromic intellectual disability 42", - "autosomal dominant non-syndromic intellectual disability 43", - "autosomal dominant non-syndromic intellectual disability 44", - "autosomal dominant non-syndromic intellectual disability 5", - "autosomal dominant non-syndromic intellectual disability 6", - "autosomal dominant non-syndromic intellectual disability 7", - "autosomal dominant non-syndromic intellectual disability 8", - "autosomal dominant non-syndromic intellectual disability 9", - "autosomal dominant nonsyndromic deafness", - "autosomal dominant nonsyndromic deafness 1", - "autosomal dominant nonsyndromic deafness 10", - "autosomal dominant nonsyndromic deafness 11", - "autosomal dominant nonsyndromic deafness 12", - "autosomal dominant nonsyndromic deafness 13", - "autosomal dominant nonsyndromic deafness 15", - "autosomal dominant nonsyndromic deafness 16", - "autosomal dominant nonsyndromic deafness 17", - "autosomal dominant nonsyndromic deafness 18", - "autosomal dominant nonsyndromic deafness 20", - "autosomal dominant nonsyndromic deafness 21", - "autosomal dominant nonsyndromic deafness 22", - "autosomal dominant nonsyndromic deafness 23", - "autosomal dominant nonsyndromic deafness 24", - "autosomal dominant nonsyndromic deafness 25", - "autosomal dominant nonsyndromic deafness 27", - "autosomal dominant nonsyndromic deafness 28", - "autosomal dominant nonsyndromic deafness 2A", - "autosomal dominant nonsyndromic deafness 2B", - "autosomal dominant nonsyndromic deafness 30", - "autosomal dominant nonsyndromic deafness 31", - "autosomal dominant nonsyndromic deafness 33", - "autosomal dominant nonsyndromic deafness 34", - "autosomal dominant nonsyndromic deafness 36", - "autosomal dominant nonsyndromic deafness 3A", - "autosomal dominant nonsyndromic deafness 3B", - "autosomal dominant nonsyndromic deafness 40", - "autosomal dominant nonsyndromic deafness 41", - "autosomal dominant nonsyndromic deafness 43", - "autosomal dominant nonsyndromic deafness 44", - "autosomal dominant nonsyndromic deafness 47", - "autosomal dominant nonsyndromic deafness 48", - "autosomal dominant nonsyndromic deafness 49", - "autosomal dominant nonsyndromic deafness 4A", - "autosomal dominant nonsyndromic deafness 4B", - "autosomal dominant nonsyndromic deafness 5", - "autosomal dominant nonsyndromic deafness 50", - "autosomal dominant nonsyndromic deafness 51", - "autosomal dominant nonsyndromic deafness 52", - "autosomal dominant nonsyndromic deafness 53", - "autosomal dominant nonsyndromic deafness 54", - "autosomal dominant nonsyndromic deafness 56", - "autosomal dominant nonsyndromic deafness 58", - "autosomal dominant nonsyndromic deafness 59", - "autosomal dominant nonsyndromic deafness 6", - "autosomal dominant nonsyndromic deafness 64", - "autosomal dominant nonsyndromic deafness 65", - "autosomal dominant nonsyndromic deafness 66", - "autosomal dominant nonsyndromic deafness 67", - "autosomal dominant nonsyndromic deafness 68", - "autosomal dominant nonsyndromic deafness 69", - "autosomal dominant nonsyndromic deafness 7", - "autosomal dominant nonsyndromic deafness 70", - "autosomal dominant nonsyndromic deafness 71", - "autosomal dominant nonsyndromic deafness 72", - "autosomal dominant nonsyndromic deafness 73", - "autosomal dominant nonsyndromic deafness 9", - "autosomal dominant osteopetrosis 1", - "autosomal dominant osteopetrosis 2", - "autosomal dominant polycystic kidney disease", - "autosomal dominant progressive external ophthalmoplegia 1", - "autosomal dominant progressive external ophthalmoplegia with mitochondrial DNA deletions 6", - "autosomal dominant progressive external ophthalmoplegia with mitochondrial DNA deletions 2", - "autosomal dominant progressive external ophthalmoplegia with mitochondrial DNA deletions 3", - "autosomal dominant progressive external ophthalmoplegia with mitochondrial DNA deletions 4", - "autosomal dominant progressive external ophthalmoplegia with mitochondrial DNA deletions 5", - "autosomal dominant pseudohypoaldosteronism type 1", - "autosomal dominant Robinow syndrome 1", - "autosomal dominant Robinow syndrome 2", - "autosomal dominant Robinow syndrome 3", - "autosomal dominant sensory ataxia 1", - "autosomal dominant sideroblastic anemia 4", - "autosomal dominant type IV Ehlers-Danlos syndrome", - "autosomal dominant vitreoretinochoroidopathy", - "autosomal dominant Wolfram syndrome", - "autosomal dominant woolly hair", - "autosomal genetic disease", - "autosomal recessive Alport syndrome", - "autosomal recessive centronuclear myopathy", - "autosomal recessive cerebellar ataxia", - "autosomal recessive chronic granulomatous disease cytochrome b-negative", - "autosomal recessive chronic granulomatous disease cytochrome b-positive type I", - "autosomal recessive chronic granulomatous disease cytochrome b-positive type II", - "autosomal recessive chronic granulomatous disease cytochrome b-positive type III", - "autosomal recessive congenital ichthyosis", - "autosomal recessive congenital ichthyosis 1", - "autosomal recessive congenital ichthyosis 10", - "autosomal recessive congenital ichthyosis 11", - "autosomal recessive congenital ichthyosis 13", - "autosomal recessive congenital ichthyosis 14", - "autosomal recessive congenital ichthyosis 2", - "autosomal recessive congenital ichthyosis 3", - "autosomal recessive congenital ichthyosis 4A", - "autosomal recessive congenital ichthyosis 4B", - "autosomal recessive congenital ichthyosis 5", - "autosomal recessive congenital ichthyosis 6", - "autosomal recessive congenital ichthyosis 7", - "autosomal recessive congenital ichthyosis 8", - "autosomal recessive congenital ichthyosis 9", - "autosomal recessive cutis laxa type I", - "autosomal recessive cutis laxa type IA", - "autosomal recessive cutis laxa type IB", - "autosomal recessive cutis laxa type IC", - "autosomal recessive cutis laxa type II classic type", - "autosomal recessive cutis laxa type IIA", - "autosomal recessive cutis laxa type IIB", - "autosomal recessive cutis laxa type IIC", - "autosomal recessive cutis laxa type IID", - "autosomal recessive cutis laxa type III", - "autosomal recessive cutis laxa type IIIA", - "autosomal recessive cutis laxa type IIIB", - "autosomal recessive disease", - "autosomal recessive distal hereditary motor neuronopathy", - "autosomal recessive dyskeratosis congenita 1", - "autosomal recessive dyskeratosis congenita 2", - "autosomal recessive dyskeratosis congenita 3", - "autosomal recessive dyskeratosis congenita 4", - "autosomal recessive dyskeratosis congenita 5", - "autosomal recessive dyskeratosis congenita 6", - "autosomal recessive Emery-Dreifuss muscular dystrophy 3", - "autosomal recessive hyaline body myopathy", - "autosomal recessive hypercholesterolemia", - "autosomal recessive hypophosphatemic rickets", - "autosomal recessive isolated ectopia lentis 2", - "autosomal recessive limb-girdle muscular dystrophy", - "autosomal recessive limb-girdle muscular dystrophy type 2A", - "autosomal recessive limb-girdle muscular dystrophy type 2B", - "autosomal recessive limb-girdle muscular dystrophy type 2C", - "autosomal recessive limb-girdle muscular dystrophy type 2D", - "autosomal recessive limb-girdle muscular dystrophy type 2E", - "autosomal recessive limb-girdle muscular dystrophy type 2F", - "autosomal recessive limb-girdle muscular dystrophy type 2G", - "autosomal recessive limb-girdle muscular dystrophy type 2H", - "autosomal recessive limb-girdle muscular dystrophy type 2I", - "autosomal recessive limb-girdle muscular dystrophy type 2J", - "autosomal recessive limb-girdle muscular dystrophy type 2K", - "autosomal recessive limb-girdle muscular dystrophy type 2L", - "autosomal recessive limb-girdle muscular dystrophy type 2M", - "autosomal recessive limb-girdle muscular dystrophy type 2N", - "autosomal recessive limb-girdle muscular dystrophy type 2O", - "autosomal recessive limb-girdle muscular dystrophy type 2P", - "autosomal recessive limb-girdle muscular dystrophy type 2Q", - "autosomal recessive limb-girdle muscular dystrophy type 2S", - "autosomal recessive limb-girdle muscular dystrophy type 2T", - "autosomal recessive limb-girdle muscular dystrophy type 2U", - "autosomal recessive limb-girdle muscular dystrophy type 2W", - "autosomal recessive limb-girdle muscular dystrophy type 2X", - "autosomal recessive limb-girdle muscular dystrophy type 2Y", - "autosomal recessive mental retardation 61", - "autosomal recessive non-syndromic intellectual disability", - "autosomal recessive nonsyndromic deafness", - "autosomal recessive nonsyndromic deafness 100", - "autosomal recessive nonsyndromic deafness 101", - "autosomal recessive nonsyndromic deafness 102", - "autosomal recessive nonsyndromic deafness 103", - "autosomal recessive nonsyndromic deafness 104", - "autosomal recessive nonsyndromic deafness 106", - "autosomal recessive nonsyndromic deafness 107", - "autosomal recessive nonsyndromic deafness 108", - "autosomal recessive nonsyndromic deafness 109", - "autosomal recessive nonsyndromic deafness 110", - "autosomal recessive nonsyndromic deafness 111", - "autosomal recessive nonsyndromic deafness 112", - "autosomal recessive nonsyndromic deafness 113", - "autosomal recessive nonsyndromic deafness 114", - "autosomal recessive nonsyndromic deafness 115", - "autosomal recessive nonsyndromic deafness 12", - "autosomal recessive nonsyndromic deafness 13", - "autosomal recessive nonsyndromic deafness 14", - "autosomal recessive nonsyndromic deafness 15", - "autosomal recessive nonsyndromic deafness 16", - "autosomal recessive nonsyndromic deafness 17", - "autosomal recessive nonsyndromic deafness 18A", - "autosomal recessive nonsyndromic deafness 18B", - "autosomal recessive nonsyndromic deafness 1A", - "autosomal recessive nonsyndromic deafness 1B", - "autosomal recessive nonsyndromic deafness 2", - "autosomal recessive nonsyndromic deafness 20", - "autosomal recessive nonsyndromic deafness 21", - "autosomal recessive nonsyndromic deafness 22", - "autosomal recessive nonsyndromic deafness 23", - "autosomal recessive nonsyndromic deafness 24", - "autosomal recessive nonsyndromic deafness 25", - "autosomal recessive nonsyndromic deafness 26", - "autosomal recessive nonsyndromic deafness 27", - "autosomal recessive nonsyndromic deafness 28", - "autosomal recessive nonsyndromic deafness 29", - "autosomal recessive nonsyndromic deafness 3", - "autosomal recessive nonsyndromic deafness 30", - "autosomal recessive nonsyndromic deafness 31", - "autosomal recessive nonsyndromic deafness 32", - "autosomal recessive nonsyndromic deafness 33", - "autosomal recessive nonsyndromic deafness 35", - "autosomal recessive nonsyndromic deafness 36", - "autosomal recessive nonsyndromic deafness 37", - "autosomal recessive nonsyndromic deafness 38", - "autosomal recessive nonsyndromic deafness 39", - "autosomal recessive nonsyndromic deafness 4", - "autosomal recessive nonsyndromic deafness 40", - "autosomal recessive nonsyndromic deafness 42", - "autosomal recessive nonsyndromic deafness 44", - "autosomal recessive nonsyndromic deafness 45", - "autosomal recessive nonsyndromic deafness 46", - "autosomal recessive nonsyndromic deafness 47", - "autosomal recessive nonsyndromic deafness 48", - "autosomal recessive nonsyndromic deafness 49", - "autosomal recessive nonsyndromic deafness 5", - "autosomal recessive nonsyndromic deafness 51", - "autosomal recessive nonsyndromic deafness 53", - "autosomal recessive nonsyndromic deafness 55", - "autosomal recessive nonsyndromic deafness 57", - "autosomal recessive nonsyndromic deafness 59", - "autosomal recessive nonsyndromic deafness 6", - "autosomal recessive nonsyndromic deafness 61", - "autosomal recessive nonsyndromic deafness 62", - "autosomal recessive nonsyndromic deafness 63", - "autosomal recessive nonsyndromic deafness 65", - "autosomal recessive nonsyndromic deafness 66", - "autosomal recessive nonsyndromic deafness 67", - "autosomal recessive nonsyndromic deafness 68", - "autosomal recessive nonsyndromic deafness 7", - "autosomal recessive nonsyndromic deafness 70", - "autosomal recessive nonsyndromic deafness 71", - "autosomal recessive nonsyndromic deafness 74", - "autosomal recessive nonsyndromic deafness 76", - "autosomal recessive nonsyndromic deafness 77", - "autosomal recessive nonsyndromic deafness 79", - "autosomal recessive nonsyndromic deafness 8", - "autosomal recessive nonsyndromic deafness 83", - "autosomal recessive nonsyndromic deafness 84A", - "autosomal recessive nonsyndromic deafness 84B", - "autosomal recessive nonsyndromic deafness 85", - "autosomal recessive nonsyndromic deafness 86", - "autosomal recessive nonsyndromic deafness 88", - "autosomal recessive nonsyndromic deafness 89", - "autosomal recessive nonsyndromic deafness 9", - "autosomal recessive nonsyndromic deafness 91", - "autosomal recessive nonsyndromic deafness 93", - "autosomal recessive nonsyndromic deafness 94", - "autosomal recessive nonsyndromic deafness 96", - "autosomal recessive nonsyndromic deafness 97", - "autosomal recessive nonsyndromic deafness 98", - "autosomal recessive nonsyndromic deafness 99", - "autosomal recessive osteopetrosis 1", - "autosomal recessive osteopetrosis 2", - "autosomal recessive osteopetrosis 3", - "autosomal recessive osteopetrosis 4", - "autosomal recessive osteopetrosis 5", - "autosomal recessive osteopetrosis 6", - "autosomal recessive osteopetrosis 7", - "autosomal recessive osteopetrosis 8", - "autosomal recessive pericentral pigmentary retinopathy", - "autosomal recessive polycystic kidney disease", - "autosomal recessive progressive external ophthalmoplegia 1", - "autosomal recessive progressive external ophthalmoplegia with mitochondrial DNA deletions 2", - "autosomal recessive progressive external ophthalmoplegia with mitochondrial DNA deletions 3", - "autosomal recessive progressive external ophthalmoplegia with mitochondrial DNA deletions 4", - "autosomal recessive progressive external ophthalmoplegia with mitochondrial DNA deletions 5", - "autosomal recessive pseudohypoaldosteronism type 1", - "autosomal recessive pyridoxine-refractory sideroblastic anemia 2", - "autosomal recessive pyridoxine-refractory sideroblastic anemia 3", - "autosomal recessive Robinow syndrome", - "autosomal recessive spinocerebellar ataxia 10", - "autosomal recessive spinocerebellar ataxia 11", - "autosomal recessive spinocerebellar ataxia 12", - "autosomal recessive spinocerebellar ataxia 13", - "autosomal recessive spinocerebellar ataxia 14", - "autosomal recessive spinocerebellar ataxia 15", - "autosomal recessive spinocerebellar ataxia 16", - "autosomal recessive spinocerebellar ataxia 17", - "autosomal recessive spinocerebellar ataxia 18", - "autosomal recessive spinocerebellar ataxia 19", - "autosomal recessive spinocerebellar ataxia 2", - "autosomal recessive spinocerebellar ataxia 20", - "autosomal recessive spinocerebellar ataxia 21", - "autosomal recessive spinocerebellar ataxia 22", - "autosomal recessive spinocerebellar ataxia 23", - "autosomal recessive spinocerebellar ataxia 24", - "autosomal recessive spinocerebellar ataxia 25", - "autosomal recessive spinocerebellar ataxia 26", - "autosomal recessive spinocerebellar ataxia 27", - "autosomal recessive spinocerebellar ataxia 3", - "autosomal recessive spinocerebellar ataxia 4", - "autosomal recessive spinocerebellar ataxia 6", - "autosomal recessive spinocerebellar ataxia 7", - "autosomal recessive spinocerebellar ataxia 8", - "autosomal recessive type IV Ehlers-Danlos syndrome", - "autosomal recessive Whistling face syndrome", - "autosomal recessive woolly hair 3", - "autosomal-mitochondrial sensorineural deafness", - "autotopagnosia", - "avian influenza", - "avoidant personality disorder", - "Axenfeld-Rieger syndrome", - "Axenfeld-Rieger syndrome type 1", - "Axenfeld-Rieger syndrome type 2", - "Axenfeld-Rieger syndrome type 3", - "axial osteomalacia", - "axillary adenitis", - "axillary lipoma", - "axonal neuropathy", - "Ayme-Gripp syndrome", - "azoospermia", - "aztreonam allergy", - "B cell deficiency", - "B-cell acute lymphoblastic leukemia", - "B-cell adult acute lymphocytic leukemia", - "B-cell lymphoma", - "B-lymphoblastic leukemia/lymphoma", - "B-lymphoblastic leukemia/lymphoma KMT2A rearranged", - "B-lymphoblastic leukemia/lymphoma with BCR-ABL1", - "B-lymphoblastic leukemia/lymphoma with ETV6-RUNX1", - "B-lymphoblastic leukemia/lymphoma with hyperdiploidy", - "B-lymphoblastic leukemia/lymphoma with hypodiploidy", - "B-lymphoblastic leukemia/lymphoma with iAMP21", - "B-lymphoblastic leukemia/lymphoma with IL3-IGH", - "B-lymphoblastic leukemia/lymphoma with TCF3-PBX1", - "B-lymphoblastic leukemia/lymphoma, BCR-ABL1\\u2013like", - "Baastrup's syndrome", - "babesiosis", - "bacillary angiomatosis", - "background diabetic retinopathy", - "bacterial conjunctivitis", - "bacterial esophagitis", - "bacterial exanthem", - "bacterial gastritis", - "bacterial infectious disease", - "bacterial meningitis", - "bacterial pneumonia", - "bacterial sepsis", - "bacterial vaginosis", - "bacteriuria", - "bagassosis", - "balanitis", - "balanitis xerotica obliterans", - "balanoposthitis", - "balantidiasis", - "Balkan hemorrhagic fever", - "Balkan nephropathy", - "Ballard syndrome", - "Baller-Gerold syndrome", - "balloon cell malignant melanoma", - "Balo concentric sclerosis", - "Bamforth-Lazarus syndrome", - "band keratopathy", - "Bannayan-Riley-Ruvalcaba syndrome", - "Baraitser-Winter syndrome", - "Barber-Say syndrome", - "barbiturate abuse", - "barbiturate dependence", - "Bardet-Biedl syndrome", - "Bardet-Biedl syndrome 1", - "Bardet-Biedl syndrome 10", - "Bardet-Biedl syndrome 11", - "Bardet-Biedl syndrome 12", - "Bardet-Biedl syndrome 13", - "Bardet-Biedl syndrome 14", - "Bardet-Biedl syndrome 15", - "Bardet-Biedl syndrome 16", - "Bardet-Biedl syndrome 17", - "Bardet-Biedl syndrome 18", - "Bardet-Biedl syndrome 19", - "Bardet-Biedl syndrome 2", - "Bardet-Biedl syndrome 3", - "Bardet-Biedl syndrome 4", - "Bardet-Biedl syndrome 5", - "Bardet-Biedl syndrome 6", - "Bardet-Biedl syndrome 7", - "Bardet-Biedl syndrome 8", - "Bardet-Biedl syndrome 9", - "baritosis", - "Barmah Forest virus disease", - "Barre-Lieou syndrome", - "Barrett's adenocarcinoma", - "Barrett's esophagus", - "Bart-Pumphrey syndrome", - "Barth syndrome", - "Bartholin's duct cyst", - "Bartholin's gland adenocarcinoma", - "Bartholin's gland adenoid cystic carcinoma", - "Bartholin's gland adenoma", - "Bartholin's gland adenomyoma", - "Bartholin's gland adenosquamous carcinoma", - "Bartholin's gland benign neoplasm", - "Bartholin's gland cancer", - "Bartholin's gland carcinoma", - "Bartholin's gland disease", - "Bartholin's gland small cell carcinoma", - "Bartholin's gland squamous cell carcinoma", - "Bartholin's gland transitional cell carcinoma", - "bartonellosis", - "Bartter disease", - "Bartter disease type 1", - "Bartter disease type 2", - "Bartter disease type 3", - "Bartter disease type 4a", - "Bartter disease type 4b", - "Bartter disease type 5", - "basal cell carcinoma", - "basal ganglia calcification", - "basal ganglia cerebrovascular disease", - "basal ganglia disease", - "basal laminar drusen", - "basaloid lung carcinoma", - "basaloid squamous cell carcinoma", - "basaloid squamous cell skin carcinoma", - "basidiobolomycosis", - "basilar artery insufficiency", - "basilar artery occlusion", - "basophil adenoma", - "basophilic adenocarcinoma", - "basosquamous carcinoma", - "baylisascariasis", - "beach ear", - "Beare-Stevenson cutis gyrata syndrome", - "Becker muscular dystrophy", - "Beckwith-Wiedemann syndrome", - "Beemer-Langer syndrome", - "Behcet's disease", - "Behcet's syndrome arthropathy", - "Behr syndrome", - "bejel", - "Bell's palsy", - "benign breast adenomyoepithelioma", - "benign breast phyllodes tumor", - "benign bronchial neoplasm", - "benign deep fibrous histiocytoma", - "benign dermal neurilemmoma", - "benign eccrine breast spiradenoma", - "benign ependymoma", - "benign epilepsy with centrotemporal spikes", - "benign essential hypertension", - "benign familial hematuria", - "benign familial infantile epilepsy", - "benign familial neonatal epilepsy", - "benign fibrous mesothelioma", - "benign glioma", - "benign hypertensive renal disease", - "benign intermediate mesothelioma", - "benign lymphoepithelial lesion of salivary gland", - "benign mammary dysplasia", - "benign mastocytoma", - "benign mediastinal neurilemmoma", - "benign mediastinal psammomatous neurilemmoma", - "benign meningioma", - "benign mesothelioma", - "benign neonatal seizures", - "benign neoplasm", - "benign neurilemmoma", - "benign paroxysmal positional nystagmus", - "benign pericardial teratoma", - "benign peritoneal mesothelioma", - "benign perivascular tumor", - "benign pleural mesothelioma", - "benign prostate phyllodes tumor", - "benign rectal neoplasm", - "benign recurrent intrahepatic cholestasis", - "benign recurrent intrahepatic cholestasis 1", - "benign recurrent intrahepatic cholestasis 2", - "benign renovascular hypertension", - "benign secondary hypertension", - "benign shuddering attacks", - "benign struma ovarii", - "benign teratoma", - "benign vaginal carcinosarcoma", - "benign vascular tumor", - "benzo[d]isothiazol-3-one allergic contact dermatitis", - "benzoic acid allergic contact dermatitis", - "benzylpenicillin allergy", - "beriberi", - "Bernard-Soulier syndrome", - "Bernard-Soulier syndrome type A2", - "berylliosis", - "bestiality", - "bestrophinopathy", - "beta thalassemia", - "beta-ketothiolase deficiency", - "beta-lactam allergy", - "beta-mannosidosis", - "Bethlem myopathy", - "Beukes hip dysplasia", - "Bh4-deficient hyperphenylalaninemia A", - "bicipital tenosynovitis", - "bicuspid aortic valve disease", - "Bietti crystalline corneoretinal dystrophy", - "bilateral breast cancer", - "bilateral hyperactive labyrinth", - "bilateral hypoactive labyrinth", - "bilateral meningioma of optic nerve", - "bilateral optic nerve hypoplasia", - "bilateral renal aplasia", - "bilateral retinoblastoma", - "bile duct adenocarcinoma", - "bile duct adenoma", - "bile duct cancer", - "bile duct carcinoma", - "bile duct carcinoma in situ", - "bile duct clear cell adenocarcinoma", - "bile duct cystadenocarcinoma", - "bile duct cystadenoma", - "bile duct disease", - "bile duct mucinous adenocarcinoma", - "bile duct mucoepidermoid carcinoma", - "bile duct rhabdomyosarcoma", - "bile duct sarcoma", - "bile duct signet ring cell carcinoma", - "bile reflux", - "biliary atresia", - "biliary dyskinesia", - "biliary papillomatosis", - "biliary tract benign neoplasm", - "biliary tract cancer", - "biliary tract disease", - "biliary tract intraductal papillary mucinous neoplasm", - "bilirubin metabolic disorder", - "Binder syndrome", - "binocular vision disease", - "biotin deficiency", - "biotin-responsive basal ganglia disease", - "biotinidase deficiency", - "biphasic synovial sarcoma", - "bipolar disorder", - "bipolar I disorder", - "bipolar ll disorder", - "bird fancier's lung", - "birdshot chorioretinopathy", - "Birk-Barel syndrome", - "Birt-Hogg-Dube syndrome", - "bizarre leiomyoma", - "Bjornstad syndrome", - "black piedra", - "blackwater fever", - "bladder adenocarcinoma", - "bladder benign neoplasm", - "bladder calculus", - "bladder carcinoma", - "bladder carcinoma in situ", - "bladder clear cell adenocarcinoma", - "bladder colloid adenocarcinoma", - "bladder colonic type adenocarcinoma", - "bladder diffuse clear cell adenocarcinoma", - "bladder disease", - "bladder diverticulum", - "bladder dome cancer", - "bladder exstrophy", - "bladder exstrophy-epispadias-cloacal exstrophy complex", - "bladder flat intraepithelial lesion", - "bladder hepatoid adenocarcinoma", - "bladder lateral wall cancer", - "bladder leiomyoma", - "bladder lymphoma", - "bladder mixed adenocarcinoma", - "bladder neck cancer", - "bladder neck obstruction", - "bladder papillary clear cell adenocarcinoma", - "bladder papillary transitional cell neoplasm", - "bladder sarcoma", - "bladder signet ring cell adenocarcinoma", - "bladder squamous cell carcinoma", - "bladder squamous papilloma", - "bladder transitional cell papilloma", - "bladder trigone cancer", - "bladder tuberculosis", - "bladder tubulo-cystic clear cell adenocarcinoma", - "bladder urachal adenocarcinoma", - "bladder urachal carcinoma", - "bladder urachal squamous cell carcinoma", - "bladder urachal urothelial carcinoma", - "bladder urothelial carcinoma", - "bladder urothelial papillary carcinoma", - "bladder verrucous squamous cell carcinoma", - "blastema predominant kidney Wilms' tumor", - "blastoma", - "blastomycosis", - "Blau syndrome", - "blepharitis", - "blepharochalasis", - "blepharocheilodontic syndrome", - "blepharocheilodontic syndrome 1", - "blepharocheilodontic syndrome 2", - "blepharoconjunctivitis", - "blepharophimosis", - "blepharophimosis, ptosis, and epicanthus inversus syndrome", - "blepharophimosis-intellectual disability syndrome, SBBYS type", - "blepharospasm", - "Blessig's cysts", - "blind hypertensive eye", - "blind hypotensive eye", - "blind loop syndrome", - "blindness", - "Bloch-Sulzberger syndrome", - "blood coagulation disease", - "blood group incompatibility", - "blood platelet disease", - "blood protein disease", - "Bloom syndrome", - "Blount's disease", - "blue color blindness", - "blue cone monochromacy", - "blue drum syndrome", - "blue toe syndrome", - "blunt duct adenosis of breast", - "body dysmorphic disorder", - "Bolivian hemorrhagic fever", - "bone ameloblastoma", - "bone angioendothelial sarcoma", - "bone benign neoplasm", - "bone cancer", - "bone carcinoma", - "bone chondrosarcoma", - "bone deterioration disease", - "bone development disease", - "bone disease", - "bone epithelioid hemangioma", - "bone giant cell sarcoma", - "bone giant cell tumor", - "bone inflammation disease", - "bone leiomyosarcoma", - "bone lymphoma", - "bone marrow cancer", - "bone marrow disease", - "bone osteosarcoma", - "bone peripheral neuroepithelioma", - "bone remodeling disease", - "bone resorption disease", - "bone sarcoma", - "bone squamous cell carcinoma", - "bone structure disease", - "Boomerang dysplasia", - "borderline glaucoma", - "borderline leprosy", - "borderline personality disorder", - "Bordetella parapertussis whooping cough", - "Borjeson-Forssman-Lehmann syndrome", - "borna disease", - "Borst-Jadassohn intraepidermal carcinoma", - "Bothnia retinal dystrophy", - "Bothnian type palmoplantar keratoderma", - "botryoid rhabdomyosarcoma", - "botulism", - "Boucher-Neuhauser syndrome", - "boutonneuse fever", - "bowel dysfunction", - "Bowen-Conradi syndrome", - "Bowman's membrane folds or rupture", - "brachial plexus lesion", - "brachial plexus neoplasm", - "brachial plexus neuritis", - "brachial plexus neuropathy", - "brachydactyly", - "brachydactyly type A1", - "brachydactyly type A1B", - "brachydactyly type A1C", - "brachydactyly type A1D", - "brachydactyly type A2", - "brachydactyly type A3", - "brachydactyly type A4", - "brachydactyly type A6", - "brachydactyly type B1", - "brachydactyly type B2", - "brachydactyly type C", - "brachydactyly type D", - "brachydactyly type E1", - "brachydactyly type E2", - "brachydactyly-preaxial hallux varus syndrome", - "brachydactyly-syndactyly syndrome", - "brachyolmia", - "brachyolmia-amelogenesis imperfecta syndrome", - "bradyopsia", - "brain angioma", - "brain cancer", - "brain compression", - "brain disease", - "brain edema", - "brain ependymoma", - "brain germinoma", - "brain glioblastoma multiforme", - "brain glioma", - "brain infarction", - "brain ischemia", - "brain meningioma", - "brain oligodendroglioma", - "brain sarcoma", - "brain stem angioblastoma", - "brain stem astrocytic neoplasm", - "brain stem cancer", - "brain stem ependymoma", - "brain stem glioma", - "brain stem infarction", - "brain stem medulloblastoma", - "brainstem intraparenchymal clear cell meningioma", - "branch retinal artery occlusion", - "branched-chain keto acid dehydrogenase kinase deficiency", - "branchiooculofacial syndrome", - "branchiootic syndrome", - "branchiootorenal syndrome", - "branchiootorenal syndrome 1", - "branchiootorenal syndrome 2", - "brawny scleritis", - "Brazilian hemorrhagic fever", - "breast abscess", - "breast adenocarcinoma", - "breast adenoid cystic carcinoma", - "breast adenoma", - "breast adenomyoepithelial adenosis", - "breast adenomyoepithelioma", - "breast angiomatosis", - "breast angiosarcoma", - "breast apocrine adenoma", - "breast apocrine carcinoma", - "breast apocrine carcinoma in situ", - "breast benign neoplasm", - "breast cancer", - "breast capillary hemangioma", - "breast carcinoma", - "breast carcinoma in situ", - "breast columnar cell mucinous carcinoma", - "breast cyst", - "breast cystic hypersecretory carcinoma", - "breast disease", - "breast duct papilloma", - "breast ductal adenoma", - "breast ductal carcinoma", - "breast epithelioid hemangioma", - "breast fibroadenoma", - "breast fibroadenosis", - "breast fibrocystic disease", - "breast fibrosarcoma", - "breast giant fibroadenoma", - "breast granular cell tumor", - "breast hemangioma", - "breast hemangiopericytoma", - "breast implant-associated anaplastic large cell lymphoma", - "breast intracanalicular fibroadenoma", - "breast intraductal papillomatosis", - "breast intraductal proliferative lesion", - "breast juvenile papillomatosis", - "breast large cell neuroendocrine carcinoma", - "breast leiomyoma", - "breast leiomyosarcoma", - "breast lipoma", - "breast liposarcoma", - "breast lobular carcinoma", - "breast lymphoma", - "breast malignant eccrine spiradenoma", - "breast malignant phyllodes tumor", - "breast medullary carcinoma", - "breast metaplastic carcinoma", - "breast mucinous carcinoma", - "breast mucinous cystadenocarcinoma", - "breast mucoepidermoid carcinoma", - "breast myoepithelial carcinoma", - "breast myoepithelial neoplasm", - "breast myoepitheliosis", - "breast myofibroblastoma", - "breast neuroendocrine neoplasm", - "breast osteosarcoma", - "breast papillary carcinoma", - "breast papillomatosis", - "breast pericanalicular fibroadenoma", - "breast rhabdomyosarcoma", - "breast sarcoma", - "breast scirrhous carcinoma", - "breast secretory carcinoma", - "breast signet ring cell adenocarcinoma", - "breast squamous cell carcinoma", - "Brill-Zinsser disease", - "brittle cornea syndrome", - "broad ligament malignant neoplasm", - "Brody myopathy", - "bronchial disease", - "bronchial mucus gland adenoma", - "bronchiectasis", - "bronchiectasis 1", - "bronchiectasis 2", - "bronchiectasis 3", - "bronchiolitis", - "bronchiolitis obliterans", - "bronchiolo-alveolar adenocarcinoma", - "bronchitis", - "bronchopneumonia", - "bronchus adenoma", - "bronchus cancer", - "bronchus carcinoma", - "bronchus carcinoma in situ", - "bronchus mucoepidermoid carcinoma", - "Brooke-Spiegler syndrome", - "brown shrimp allergy", - "Brown's tendon sheath syndrome", - "Brown-Sequard syndrome", - "Brown-Vialetto-Van Laere syndrome", - "Brucella abortus brucellosis", - "Brucella canis brucellosis", - "Brucella melitensis brucellosis", - "Brucella suis brucellosis", - "brucellosis", - "Bruck syndrome", - "Brugada syndrome", - "Brugada syndrome 1", - "Brugada syndrome 2", - "Brugada syndrome 3", - "Brugada syndrome 4", - "Brugada syndrome 5", - "Brugada syndrome 6", - "Brugada syndrome 7", - "Brugada syndrome 8", - "Brugada syndrome 9", - "Brunner Syndrome", - "bruxism", - "bubonic plague", - "Budd-Chiari syndrome", - "bulbar polio", - "bulbomembranous urethral cancer", - "bulbospinal polio", - "bulimia nervosa", - "bullous congenital ichthyosiform erythroderma", - "bullous keratopathy", - "bullous pemphigoid", - "bullous retinoschisis", - "bullous skin disease", - "buphthalmos", - "Burkitt lymphoma", - "burning mouth syndrome", - "bursitis", - "Buruli ulcer disease", - "Buschke-Ollendorff syndrome", - "byssinosis", - "C syndrome", - "C-P angle neurinoma", - "C1 inhibitor deficiency", - "CADASIL", - "CADASIL 1", - "CADASIL 2", - "Caffey disease", - "CAKUT", - "CAKUT1", - "CAKUT2", - "calcaneonavicular coalition", - "calcific tendinitis", - "calcinosis", - "calciphylaxis", - "calcium metabolism disease", - "calcium oxalate nephrolithiasis", - "campomelic dysplasia", - "camptodactyly-arthropathy-coxa vara-pericarditis syndrome", - "camptodactyly-tall stature-scoliosis-hearing loss syndrome", - "campylobacteriosis", - "Camurati-Engelmann disease", - "Canavan disease", - "cancer", - "cancerophobia", - "candidal paronychia", - "candidiasis", - "cannabis abuse", - "cannabis dependence", - "Capgras syndrome", - "capillariasis", - "capillary disease", - "capillary hemangioma", - "capillary leak syndrome", - "capillary lymphangioma", - "Caplan's syndrome", - "carbamazepine allergy", - "carbamoyl phosphate synthetase I deficiency disease", - "carbapenem allergy", - "carbohydrate metabolic disorder", - "carbohydrate metabolism disease", - "carboxypeptidase N deficiency", - "carbuncle", - "carcinoma", - "carcinoma arising in nasal papillomatosis", - "carcinoma of supraglottis", - "carcinosarcoma", - "cardia cancer", - "cardiac arrest", - "cardiac granular cell neoplasm", - "cardiac sarcoidosis", - "cardiac tamponade", - "cardiac tuberculosis", - "cardiofaciocutaneous syndrome", - "cardiofaciocutaneous syndrome 1", - "cardiofaciocutaneous syndrome 2", - "cardiofaciocutaneous syndrome 3", - "cardiofaciocutaneous syndrome 4", - "cardiomyopathy", - "cardiovascular cancer", - "cardiovascular organ benign neoplasm", - "cardiovascular syphilis", - "cardiovascular system disease", - "Carey-Fineman-Ziter syndrome", - "Carney complex", - "Carney-Stratakis syndrome", - "carnitine palmitoyltransferase I deficiency", - "carnitine palmitoyltransferase II deficiency", - "carnitine-acylcarnitine translocase deficiency", - "Caroli disease", - "carotenemia", - "carotid artery disease", - "carotid artery dissection", - "carotid artery occlusion", - "carotid artery thrombosis", - "carotid body cancer", - "carotid stenosis", - "carp allergy", - "carpal tunnel syndrome", - "Carpenter syndrome", - "Carrion's disease", - "cartilage cancer", - "cartilage disease", - "cartilage-hair hypoplasia", - "Carvajal syndrome", - "carvone allergic contact dermatitis", - "cascade stomach", - "Castleman disease", - "cat-scratch disease", - "cataract", - "cataract 1 multiple types", - "cataract 10 multiple types", - "cataract 11 multiple types", - "cataract 12 multiple types", - "cataract 13 with adult i phenotype", - "cataract 14 multiple types", - "cataract 15 multiple types", - "cataract 16 multiple types", - "cataract 17 multiple types", - "cataract 18", - "cataract 19 multiple types", - "cataract 2 multiple types", - "cataract 20 multiple types", - "cataract 21 multiple types", - "cataract 22 multiple types", - "cataract 23", - "cataract 24", - "cataract 25", - "cataract 26 multiple types", - "cataract 27", - "cataract 28", - "cataract 29", - "cataract 3 multiple types", - "cataract 30", - "cataract 31 multiple types", - "cataract 32 multiple types", - "cataract 33", - "cataract 34 multiple types", - "cataract 35", - "cataract 36", - "cataract 37", - "cataract 38", - "cataract 39 multiple types", - "cataract 4 multiple types", - "cataract 40", - "cataract 41", - "cataract 42", - "cataract 43", - "cataract 44", - "cataract 45", - "cataract 46 juvenile-onset", - "cataract 47", - "cataract 48", - "cataract 5 multiple types", - "cataract 6 multiple types", - "cataract 7", - "cataract 8 multiple types", - "cataract 9 multiple types", - "catecholaminergic polymorphic ventricular tachycardia", - "catecholaminergic polymorphic ventricular tachycardia 1", - "catecholaminergic polymorphic ventricular tachycardia 2", - "catecholaminergic polymorphic ventricular tachycardia 3", - "catecholaminergic polymorphic ventricular tachycardia 4", - "catecholaminergic polymorphic ventricular tachycardia 5", - "cauda equina intradural extramedullary astrocytoma", - "cauda equina neoplasm", - "Cauda equina syndrome", - "causalgia", - "cavernous hemangioma", - "cavernous hemangioma of colon", - "cavernous hemangioma of face", - "cavernous hemangioma of orbit", - "cavernous sinus meningioma", - "cavernous sinus thrombosis", - "Cayman type cerebellar ataxia", - "CD3delta deficiency", - "CD3epsilon deficiency", - "CD3gamma deficiency", - "CD3zeta deficiency", - "CD40 ligand deficiency", - "CD45 deficiency", - "cecal benign neoplasm", - "cecal disease", - "cecum adenocarcinoma", - "cecum adenoma", - "cecum cancer", - "cecum carcinoma", - "cecum lymphoma", - "CEDNIK syndrome", - "cefaclor allergy", - "cefixime allergy", - "cefotaxime allergy", - "cefotiam allergy", - "ceft palate, cardiac defects, and intellectual disabillity", - "ceftazidime allergy", - "ceftriaxone allergy", - "cefuroxime allergy", - "celery allergy", - "celiac disease", - "cell type benign neoplasm", - "cell type cancer", - "cellular congenital mesoblastic nephroma", - "cellular ependymoma", - "cellular leiomyoma", - "cellular myxoid liposarcoma", - "cellular neurofibroma", - "cellular phase chronic idiopathic myelofibrosis", - "cellular schwannoma", - "cellulitis", - "Cenani-Lenz syndactyly syndrome", - "central breast papilloma", - "central core myopathy", - "central corneal ulcer", - "central epithelioid sarcoma", - "central gyrate choroidal dystrophy", - "central nervous system adult germ cell tumor", - "central nervous system angiosarcoma", - "central nervous system benign neoplasm", - "central nervous system cancer", - "central nervous system childhood germ cell tumor", - "central nervous system chondroma", - "central nervous system disease", - "central nervous system embryonal carcinoma", - "central nervous system endodermal sinus tumor", - "central nervous system fibrosarcoma", - "central nervous system germ cell tumor", - "central nervous system germinoma", - "central nervous system hemangioma", - "central nervous system hematologic cancer", - "central nervous system immature teratoma", - "central nervous system leiomyoma", - "central nervous system leiomyosarcoma", - "central nervous system leukemia", - "central nervous system lipoma", - "central nervous system lymphoma", - "central nervous system mature teratoma", - "central nervous system melanocytic neoplasm", - "central nervous system mesenchymal non-meningothelial tumor", - "central nervous system origin vertigo", - "central nervous system osteosarcoma", - "central nervous system primitive neuroectodermal neoplasm", - "central nervous system rhabdomyosarcoma", - "central nervous system sarcoma", - "central nervous system teratoma", - "central nervous system tuberculosis", - "central nervous system vasculitis", - "central neurocytoma", - "central pontine myelinolysis", - "central pterygium", - "central retinal artery occlusion", - "central retinal vein occlusion", - "central sleep apnea", - "centronuclear myopathy", - "centronuclear myopathy 1", - "centronuclear myopathy 2", - "centronuclear myopathy 4", - "centronuclear myopathy 5", - "centronuclear myopathy 6 with fiber-type disproportion", - "centronuclear myopathy X-linked", - "cephalosporin allergy", - "cercarial dermatitis", - "cerebellar angioblastoma", - "cerebellar astrocytoma", - "cerebellar ataxia", - "cerebellar ataxia type 41", - "cerebellar ataxia type 42", - "cerebellar ataxia type 43", - "cerebellar ataxia type 47", - "cerebellar ataxia type 48", - "cerebellar ataxia type 9", - "cerebellar ataxia, mental retardation and dysequlibrium syndrome", - "cerebellar disease", - "cerebellar hyplasia/atrophy, epilepsy, and global developmental delay", - "cerebellar hypoplasia", - "cerebellar liponeurocytoma", - "cerebellar medulloblastoma", - "cerebellar vermis medulloblastoma", - "cerebellopontine angle meningioma", - "cerebellopontine angle primitive neuroectodermal", - "cerebellopontine angle tumor", - "cerebellum cancer", - "cerebral amyloid angiopathy", - "cerebral angioma", - "cerebral arterial disease", - "cerebral arteritis", - "cerebral artery occlusion", - "cerebral atherosclerosis", - "cerebral cavernous malformation", - "cerebral cavernous malformation 1", - "cerebral cavernous malformation 2", - "cerebral cavernous malformation 3", - "cerebral convexity meningioma", - "cerebral creatine deficiency syndrome", - "cerebral degeneration", - "cerebral falx meningioma", - "cerebral folate receptor alpha deficiency", - "cerebral hemisphere lipoma", - "cerebral infarction", - "cerebral lipidosis", - "cerebral lymphoma", - "cerebral malaria", - "cerebral meningioma", - "cerebral neuroblastoma", - "cerebral palsy", - "cerebral primitive neuroectodermal tumor", - "cerebral ventricle cancer", - "cerebritis", - "cerebrocostomandibular syndrome", - "cerebrotendinous xanthomatosis", - "cerebrovascular benign neoplasm", - "cerebrovascular disease", - "cerebrum cancer", - "ceruminoma", - "ceruminous adenocarcinoma", - "cervical adenitis", - "cervical adenocarcinoma", - "cervical adenofibroma", - "cervical adenoid basal carcinoma", - "cervical adenoid cystic carcinoma", - "cervical adenoma malignum", - "cervical adenomyoma", - "cervical adenosarcoma", - "cervical adenosquamous carcinoma", - "cervical alveolar soft part sarcoma", - "cervical atypical polypoid adenomyoma", - "cervical basaloid squamous cell carcinoma", - "cervical benign neoplasm", - "cervical cancer", - "cervical carcinosarcoma", - "cervical clear cell adenocarcinoma", - "cervical dystonia", - "cervical endometrial stromal sarcoma", - "cervical endometrioid adenocarcinoma", - "cervical incompetence", - "cervical keratinizing squamous cell carcinoma", - "cervical large cell neuroendocrine carcinoma", - "cervical lymphoepithelioma-like carcinoma", - "cervical mucinous adenocarcinoma", - "cervical Mullerian papilloma", - "cervical neuroblastoma", - "cervical non-keratinizing squamous cell carcinoma", - "cervical polyp", - "cervical serous adenocarcinoma", - "cervical spinal canal and spinal cord meningioma", - "cervical squamous cell carcinoma", - "cervical verrucous carcinoma", - "cervical Wilms' tumor", - "cervicitis", - "cervicomedullary junction neoplasm", - "cervix carcinoma", - "cervix disease", - "cervix endometrial stromal tumor", - "cervix endometriosis", - "cervix erosion", - "cervix melanoma", - "cervix small cell carcinoma", - "cervix squamous papilloma", - "cervix uteri carcinoma in situ", - "Chagas disease", - "chancroid", - "Chandler syndrome", - "Chapare hemorrhagic fever", - "Char syndrome", - "Charcot-Marie-Tooth disease", - "Charcot-Marie-Tooth disease axonal type 2C", - "Charcot-Marie-Tooth disease axonal type 2CC", - "Charcot-Marie-Tooth disease axonal type 2F", - "Charcot-Marie-Tooth disease axonal type 2H", - "Charcot-Marie-Tooth disease axonal type 2K", - "Charcot-Marie-Tooth disease axonal type 2L", - "Charcot-Marie-Tooth disease axonal type 2N", - "Charcot-Marie-Tooth disease axonal type 2O", - "Charcot-Marie-Tooth disease axonal type 2P", - "Charcot-Marie-Tooth disease axonal type 2Q", - "Charcot-Marie-Tooth disease axonal type 2S", - "Charcot-Marie-Tooth disease axonal type 2T", - "Charcot-Marie-Tooth disease axonal type 2U", - "Charcot-Marie-Tooth disease axonal type 2V", - "Charcot-Marie-Tooth disease axonal type 2X", - "Charcot-Marie-Tooth disease axonal type 2Z", - "Charcot-Marie-Tooth disease dominant intermediate A", - "Charcot-Marie-Tooth disease dominant intermediate B", - "Charcot-Marie-Tooth disease dominant intermediate C", - "Charcot-Marie-Tooth disease dominant intermediate D", - "Charcot-Marie-Tooth disease dominant intermediate E", - "Charcot-Marie-Tooth disease dominant intermediate F", - "Charcot-Marie-Tooth disease dominant intermediate G", - "Charcot-Marie-Tooth disease intermediate type", - "Charcot-Marie-Tooth disease recessive intermediate A", - "Charcot-Marie-Tooth disease recessive intermediate B", - "Charcot-Marie-Tooth disease recessive intermediate C", - "Charcot-Marie-Tooth disease recessive intermediate D", - "Charcot-Marie-Tooth disease type 1", - "Charcot-Marie-Tooth disease type 1A", - "Charcot-Marie-Tooth disease type 1B", - "Charcot-Marie-Tooth disease type 1C", - "Charcot-Marie-Tooth disease type 1D", - "Charcot-Marie-Tooth disease type 1E", - "Charcot-Marie-Tooth disease type 1F", - "Charcot-Marie-Tooth disease type 1G", - "Charcot-Marie-Tooth disease type 2", - "Charcot-Marie-Tooth disease type 2A1", - "Charcot-Marie-Tooth disease type 2A2A", - "Charcot-Marie-Tooth disease type 2A2B", - "Charcot-Marie-Tooth disease type 2B", - "Charcot-Marie-Tooth disease type 2B1", - "Charcot-Marie-Tooth disease type 2B2", - "Charcot-Marie-Tooth disease type 2D", - "Charcot-Marie-Tooth disease type 2DD", - "Charcot-Marie-Tooth disease type 2E", - "Charcot-Marie-Tooth disease type 2EE", - "Charcot-Marie-Tooth disease type 2I", - "Charcot-Marie-Tooth disease type 2J", - "Charcot-Marie-Tooth disease type 2R", - "Charcot-Marie-Tooth disease type 2Y", - "Charcot-Marie-Tooth disease type 3", - "Charcot-Marie-Tooth disease type 4", - "Charcot-Marie-Tooth disease type 4A", - "Charcot-Marie-Tooth disease type 4B1", - "Charcot-Marie-Tooth disease type 4B2", - "Charcot-Marie-Tooth disease type 4B3", - "Charcot-Marie-Tooth disease type 4C", - "Charcot-Marie-Tooth disease type 4D", - "Charcot-Marie-Tooth disease type 4E", - "Charcot-Marie-Tooth disease type 4F", - "Charcot-Marie-Tooth disease type 4G", - "Charcot-Marie-Tooth disease type 4H", - "Charcot-Marie-Tooth disease type 4J", - "Charcot-Marie-Tooth disease type 4K", - "Charcot-Marie-Tooth disease type 5", - "Charcot-Marie-Tooth disease type 6", - "Charcot-Marie-Tooth disease type 7", - "Charcot-Marie-Tooth disease type X", - "Charcot-Marie-Tooth disease X-linked dominant 1", - "Charcot-Marie-Tooth disease X-linked dominant 6", - "Charcot-Marie-Tooth disease X-linked recessive 2", - "Charcot-Marie-Tooth disease X-linked recessive 3", - "Charcot-Marie-Tooth disease X-linked recessive 4", - "Charcot-Marie-Tooth disease X-linked recessive 5", - "Charcot-Marie-Tooth disease, axonal type 2W", - "CHARGE syndrome", - "Charlevoix-Saguenay spastic ataxia", - "Chediak-Higashi syndrome", - "cheek mucosa cancer", - "cheilitis", - "chemical colitis", - "cherry allergy", - "cherubism", - "chest wall bone cancer", - "chest wall lipoma", - "chest wall lymphoma", - "chest wall parachordoma", - "chiasmal syndrome", - "chicken egg allergy", - "chickenpox", - "chief cell adenoma", - "chikungunya", - "Chilblain lupus", - "childhood absence epilepsy", - "childhood acute lymphocytic leukemia", - "childhood acute myeloid leukemia", - "childhood B-cell acute lymphoblastic leukemia", - "childhood botryoid rhabdomyosarcoma", - "childhood brain germinoma", - "childhood brain meningioma", - "childhood brain stem glioma", - "childhood brain stem neoplasm", - "childhood brainstem astrocytoma", - "childhood central nervous system germinoma", - "childhood central nervous system immature teratoma", - "childhood central nervous system mature teratoma", - "childhood central nervous system mixed germ cell tumor", - "childhood central nervous system primitive neuroectodermal neoplasm", - "childhood cerebellar astrocytic neoplasm", - "childhood cerebellar neoplasm", - "childhood cerebral astrocytoma", - "childhood choriocarcinoma of the ovary", - "childhood choriocarcinoma of the testis", - "childhood choroid plexus cancer", - "childhood disintegrative disease", - "childhood electroclinical syndrome", - "childhood embryonal testis carcinoma", - "childhood endodermal sinus tumor", - "childhood extraosseous osteosarcoma", - "childhood germ cell brain tumor", - "childhood hypophosphatasia", - "childhood immature teratoma of ovary", - "childhood infratentorial neoplasm", - "childhood intracortical osteosarcoma", - "childhood kidney angiomyolipoma", - "childhood kidney cancer", - "childhood kidney cell carcinoma", - "childhood leukemia", - "childhood malignant hemangiopericytoma", - "childhood malignant mesenchymoma", - "childhood malignant schwannoma", - "childhood mature teratoma of the ovary", - "childhood mediastinal neurogenic tumor", - "childhood medulloblastoma", - "childhood multilocular cystic kidney neoplasm", - "childhood oligodendroglioma", - "childhood onset epileptic encephalopathy", - "childhood onset GLUT1 deficiency syndrome 2", - "childhood optic nerve glioma", - "childhood optic tract astrocytoma", - "childhood ovarian embryonal carcinoma", - "childhood ovarian endodermal sinus tumor", - "childhood parosteal osteogenic sarcoma", - "childhood pilocytic astrocytoma", - "childhood pleomorphic rhabdomyosarcoma", - "childhood spinal cord tumor", - "childhood T-cell acute lymphoblastic leukemia", - "childhood teratocarcinoma of the testis", - "childhood teratoma of the ovary", - "childhood testicular mixed germ cell tumor", - "childhood type dermatomyositis", - "childhood vagina botryoid rhabdomyosarcoma", - "chlamydia", - "Chlamydia pneumonia", - "chloramine T respiratory allergy", - "chlorhexidine allergy", - "choanal atresia", - "cholangiocarcinoma", - "cholangiolocellular carcinoma", - "cholangitis", - "cholecystitis", - "cholecystolithiasis", - "choledochal cyst", - "choledocholithiasis", - "cholelithiasis", - "cholera", - "cholestasis", - "cholesteatoma", - "cholesteatoma of attic", - "cholesteatoma of external ear", - "cholesteatoma of middle ear", - "cholesterol embolism", - "cholesterol ester storage disease", - "cholesterol-ester transfer protein deficiency", - "choline deficiency disease", - "cholinergic urticaria", - "chondroblastic osteosarcoma", - "chondroblastoma", - "chondrocalcinosis", - "chondrodysplasia Blomstrand type", - "chondrodysplasia punctata", - "chondrodysplasia-pseudohermaphroditism syndrome", - "chondroid chordoma", - "chondroid lipoma", - "chondroid syringoma of the vulva", - "chondroma", - "chondromalacia", - "chondromalacia patellae", - "chondrosarcoma", - "chordoid glioma", - "chordoid meningioma", - "chordoma", - "chorea gravidarum", - "choreaacanthocytosis", - "choreatic disease", - "chorioamnionitis", - "chorioangioma", - "choriocarcinoma", - "choriocarcinoma of ovary", - "choriocarcinoma of the testis", - "chorioretinal scar", - "chorioretinitis", - "choroid cancer", - "choroid disease", - "choroid epithelioid cell melanoma", - "choroid mixed cell melanoma", - "choroid necrotic melanoma", - "choroid plexus cancer", - "choroid plexus carcinoma", - "choroid plexus meningioma", - "choroid plexus papilloma", - "choroid spindle cell melanoma", - "choroidal sclerosis", - "choroideremia", - "choroiditis", - "Christianson syndrome", - "chromium allergic contact dermatitis", - "chromoblastomycosis", - "chromophil adenoma of the kidney", - "chromophobe adenoma", - "chromophobe renal cell carcinoma", - "chromosomal deletion syndrome", - "chromosomal disease", - "chromosomal duplication syndrome", - "chromosome 10q23 deletion syndrome", - "chromosome 13q14 deletion syndrome", - "chromosome 14q11-q22 deletion syndrome", - "chromosome 15q11.2 deletion syndrome", - "chromosome 15q13.3 microdeletion syndrome", - "chromosome 15q24 deletion syndrome", - "chromosome 15q25 deletion syndrome", - "chromosome 15q26-qter deletion syndrome", - "chromosome 16p11.2 deletion syndrome, 220kb", - "chromosome 16p11.2 duplication syndrome", - "chromosome 16p12.1 deletion syndrome, 520kb", - "chromosome 16p12.2-p11.2 deletion syndrome", - "chromosome 16p13.3 duplication syndrome", - "chromosome 16q22 deletion syndrome", - "chromosome 17p13.1 deletion syndrome", - "chromosome 17p13.3 duplication syndrome", - "chromosome 17q11.2 deletion syndrome, 1.4Mb", - "chromosome 17q12 deletion syndrome", - "chromosome 17q12 duplication syndrome", - "chromosome 17q21.31 duplication syndrome", - "chromosome 17q23.1-q23.2 deletion syndrome", - "chromosome 18p deletion syndrome", - "chromosome 18q deletion syndrome", - "chromosome 19p13.13 deletion syndrome", - "chromosome 19q13.11 deletion syndrome", - "chromosome 1p36 deletion syndrome", - "chromosome 1q21.1 deletion syndrome", - "chromosome 1q21.1 duplication syndrome", - "chromosome 1q41-q42 deletion syndrome", - "chromosome 22q11.2 deletion syndrome, distal", - "chromosome 22q11.2 microduplication syndrome", - "chromosome 22q13 duplication syndrome", - "chromosome 2p12-p11.2 deletion syndrome", - "chromosome 2p16.1-p15 deletion syndrome", - "chromosome 2q31.1 duplication syndrome", - "chromosome 2q31.2 deletion syndrome", - "chromosome 2q32-q33 deletion syndrome", - "chromosome 2q37 deletion syndrome", - "chromosome 3-linked frontotemporal dementia", - "chromosome 3q13.31 deletion syndrome", - "chromosome 3q29 microdeletion syndrome", - "chromosome 3q29 microduplication syndrome", - "chromosome 4q21 deletion syndrome", - "chromosome 5p13 duplication syndrome", - "chromosome 5q deletion syndrome", - "chromosome 5q12 deletion syndrome", - "chromosome 6pter-p24 deletion syndrome", - "chromosome 6q11-q14 deletion syndrome", - "chromosome 6q24-q25 deletion syndrome", - "chromosome 8q21.11 deletion syndrome", - "chromosome 9p deletion syndrome", - "chromosome Xp11.23-p11.22 duplication syndrome", - "chromosome Xp21 deletion syndrome", - "chronic apical periodontitis", - "chronic atrial and intestinal dysrhythmia", - "chronic atticoantral disease", - "chronic canaliculitis", - "chronic cervicitis", - "chronic cholangitis", - "chronic closed-angle glaucoma", - "chronic congestive splenomegaly", - "chronic conjunctivitis", - "chronic cystitis", - "chronic dacryoadenitis", - "chronic dacryocystitis", - "chronic duodenal ileus", - "chronic endophthalmitis", - "chronic eosinophilic leukemia", - "chronic eosinophilic pneumonia", - "chronic ethmoiditis", - "chronic eustachian salpingitis", - "chronic fatigue syndrome", - "chronic follicular conjunctivitis", - "chronic frontal sinusitis", - "chronic fungal otitis externa", - "chronic gonococcal salpingitis", - "chronic gonorrhea of cervix", - "chronic granulomatous disease", - "chronic inflammation of lacrimal passage", - "chronic inflammatory demyelinating polyneuritis", - "chronic inflammatory demyelinating polyradiculoneuropathy", - "chronic interstitial cystitis", - "chronic intestinal vascular insufficiency", - "chronic kidney disease", - "chronic lacrimal gland enlargement", - "chronic laryngitis", - "chronic leukemia", - "chronic lymphocytic leukemia", - "chronic maxillary sinusitis", - "chronic meningitis", - "chronic metabolic polyneuropathy", - "chronic monocytic leukemia", - "chronic mucocutaneous candidiasis", - "chronic myeloid leukemia", - "chronic myelomonocytic leukemia", - "chronic neutrophilic leukemia", - "chronic NK-cell lymphocytosis", - "chronic obstructive pulmonary disease", - "chronic orbital inflammation", - "chronic perichondritis of pinna", - "chronic polyneuropathy", - "chronic progressive external ophthalmoplegia", - "chronic pulmonary heart disease", - "chronic purulent otitis media", - "chronic pyelonephritis", - "chronic rapidly progressive glomerulonephritis", - "chronic recurrent multifocal osteomyelitis", - "chronic rheumatic pericarditis", - "chronic rhinitis", - "chronic salpingitis", - "chronic salpingo-oophoritis", - "chronic sphenoidal sinusitis", - "chronic subinvolution of uterus", - "chronic tic disorder", - "chronic toxic polyneuropathy", - "chronic tubotympanic suppurative otitis media", - "chronic tympanitis", - "chronic ulcer of skin", - "chronic venous insufficiency", - "chronic wasting disease", - "Churg-Strauss syndrome", - "chylocele of tunica vaginalis", - "chylomicron retention disease", - "cicatricial ectropion", - "cicatricial entropion", - "cicatricial lagophthalmos", - "cicatricial pemphigoid", - "ciliary body cancer", - "ciliary body disease", - "ciliary body epithelioid cell melanoma", - "ciliary body mixed cell melanoma", - "ciliary body spindle cell melanoma", - "ciliopathy", - "CINCA Syndrome", - "citrullinemia", - "classic citrullinemia", - "classic congenital mesoblastic nephroma", - "classic galactosemia", - "classic pulmonary blastoma", - "classic type lipoma", - "classic variant of chromophobe renal cell carcinoma", - "clear cell acanthoma", - "clear cell adenocarcinoma", - "clear cell adenofibroma", - "clear cell adenoma", - "clear cell basal cell carcinoma", - "clear cell chondrosarcoma", - "clear cell cystadenofibroma", - "clear cell ependymoma", - "clear cell hidradenoma", - "clear cell meningioma", - "clear cell renal cell carcinoma", - "clear cell sarcoma", - "clear cell squamous cell skin carcinoma", - "clear cell variant infiltrating bladder urothelial carcinoma", - "cleft lip", - "cleft lip-palate-ectodermal dysplasia syndrome", - "cleft palate", - "cleft palate-lateral synechia syndrome", - "cleft soft palate", - "cleidocranial dysplasia", - "clitoris cancer", - "clivus chondroid chordoma", - "clivus chordoma", - "clivus meningioma", - "CLL/SLL", - "cloacal exstrophy", - "cloacogenic carcinoma", - "clonorchiasis", - "Clostridium difficile colitis", - "Clouston syndrome", - "CLOVES syndrome", - "clubfoot", - "co-trimoxazole allergy", - "COACH syndrome", - "coagulation protein disease", - "Coats disease", - "cobalt allergic asthma", - "cobalt allergic contact dermatitis", - "cobblestone retinal degeneration", - "cocaine abuse", - "cocaine dependence", - "coccidioidomycosis", - "coccidiosis", - "cochlear disease", - "Cockayne syndrome", - "cocoon syndrome", - "CODAS syndrome", - "coenurosis", - "coenzyme Q10 deficiency disease", - "Coffin-Lowry syndrome", - "Coffin-Siris syndrome", - "Coffin-Siris syndrome 1", - "Coffin-Siris syndrome 2", - "Coffin-Siris syndrome 3", - "Coffin-Siris syndrome 4", - "Coffin-Siris syndrome 6", - "Cogan syndrome", - "Cogan-Reese syndrome", - "cognitive disorder", - "Cohen syndrome", - "COL4A1-related familial vascular leukoencephalopathy", - "cold-induced sweating syndrome", - "cold-induced sweating syndrome 1", - "cold-induced sweating syndrome 2", - "cold-induced sweating syndrome 3", - "Cole-Carpenter syndrome", - "colitis", - "collagen disease", - "collagenous colitis", - "collecting duct carcinoma", - "colloid adenoma", - "colloid carcinoma of the pancreas", - "coloboma", - "coloboma of optic nerve", - "colon adenocarcinoma", - "colon adenoma", - "colon cancer", - "colon carcinoma", - "colon carcinoma in situ", - "colon Kaposi sarcoma", - "colon leiomyoma", - "colon leiomyosarcoma", - "colon lymphoma", - "colon mucinous adenocarcinoma", - "colon neuroendocrine neoplasm", - "colon sarcoma", - "colon signet ring adenocarcinoma", - "colon small cell carcinoma", - "colon squamous cell carcinoma", - "colonic benign neoplasm", - "colonic disease", - "colonic L-cell glucagon-like peptide producing tumor", - "colonic lymphangioma", - "colonic pseudo-obstruction", - "color agnosia", - "color blindness", - "Colorado tick fever", - "colorectal adenocarcinoma", - "colorectal adenoma", - "colorectal cancer", - "colorectal carcinoma", - "columnar cell variant papillary carcinoma", - "combat disorder", - "combined D-2- and L-2-hydroxyglutaric aciduria", - "combined malonic and methylmalonic acidemia", - "combined oxidative phosphorylation deficiency", - "combined oxidative phosphorylation deficiency 1", - "combined oxidative phosphorylation deficiency 10", - "combined oxidative phosphorylation deficiency 11", - "combined oxidative phosphorylation deficiency 12", - "combined oxidative phosphorylation deficiency 13", - "combined oxidative phosphorylation deficiency 14", - "combined oxidative phosphorylation deficiency 15", - "combined oxidative phosphorylation deficiency 16", - "combined oxidative phosphorylation deficiency 17", - "combined oxidative phosphorylation deficiency 18", - "combined oxidative phosphorylation deficiency 19", - "combined oxidative phosphorylation deficiency 2", - "combined oxidative phosphorylation deficiency 20", - "combined oxidative phosphorylation deficiency 21", - "combined oxidative phosphorylation deficiency 22", - "combined oxidative phosphorylation deficiency 23", - "combined oxidative phosphorylation deficiency 24", - "combined oxidative phosphorylation deficiency 25", - "combined oxidative phosphorylation deficiency 26", - "combined oxidative phosphorylation deficiency 27", - "combined oxidative phosphorylation deficiency 28", - "combined oxidative phosphorylation deficiency 29", - "combined oxidative phosphorylation deficiency 3", - "combined oxidative phosphorylation deficiency 30", - "combined oxidative phosphorylation deficiency 31", - "combined oxidative phosphorylation deficiency 32", - "combined oxidative phosphorylation deficiency 33", - "combined oxidative phosphorylation deficiency 34", - "combined oxidative phosphorylation deficiency 35", - "combined oxidative phosphorylation deficiency 36", - "combined oxidative phosphorylation deficiency 37", - "combined oxidative phosphorylation deficiency 38", - "combined oxidative phosphorylation deficiency 39", - "combined oxidative phosphorylation deficiency 4", - "combined oxidative phosphorylation deficiency 5", - "combined oxidative phosphorylation deficiency 6", - "combined oxidative phosphorylation deficiency 7", - "combined oxidative phosphorylation deficiency 8", - "combined oxidative phosphorylation deficiency 9", - "combined saposin deficiency", - "combined T cell and B cell immunodeficiency", - "combined thymoma", - "comedo carcinoma", - "commensal bacterial infectious disease", - "common bile duct disease", - "common bile duct neoplasm", - "common cold", - "common peroneal nerve lesion", - "common variable immunodeficiency", - "common wart", - "communicating hydrocephalus", - "communication disorder", - "compartment syndrome", - "compensatory emphysema", - "complement component 2 deficiency", - "complement component 3 deficiency", - "complement component 4a deficiency", - "complement component 4b deficiency", - "complement component 5 deficiency", - "complement component 6 deficiency", - "complement component 7 deficiency", - "complement component 9 deficiency", - "complement deficiency", - "complement factor I deficiency", - "complete cryptophthalmia", - "complete generalized lipodystrophy", - "complex cortical dysplasia with other brain malformations", - "complex cortical dysplasia with other brain malformations 1", - "complex cortical dysplasia with other brain malformations 2", - "complex cortical dysplasia with other brain malformations 3", - "complex cortical dysplasia with other brain malformations 4", - "complex cortical dysplasia with other brain malformations 5", - "complex cortical dysplasia with other brain malformations 6", - "complex cortical dysplasia with other brain malformations 7", - "complex partial epilepsy", - "complex regional pain syndrome", - "composite lymphoma", - "Compton-North congenital myopathy", - "conduct disorder", - "cone dystrophy", - "cone-rod dystrophy", - "cone-rod dystrophy 1", - "cone-rod dystrophy 10", - "cone-rod dystrophy 11", - "cone-rod dystrophy 12", - "cone-rod dystrophy 13", - "cone-rod dystrophy 14", - "cone-rod dystrophy 15", - "cone-rod dystrophy 16", - "cone-rod dystrophy 17", - "cone-rod dystrophy 18", - "cone-rod dystrophy 19", - "cone-rod dystrophy 2", - "cone-rod dystrophy 20", - "cone-rod dystrophy 3", - "cone-rod dystrophy 5", - "cone-rod dystrophy 6", - "cone-rod dystrophy 7", - "cone-rod dystrophy 8", - "cone-rod dystrophy 9", - "congenital adrenal hyperplasia", - "congenital adrenal insufficiency", - "congenital afibrinogenemia", - "congenital amegakaryocytic thrombocytopenia", - "congenital aphakia", - "congenital bile acid synthesis defect", - "congenital bile acid synthesis defect 1", - "congenital bile acid synthesis defect 2", - "congenital bile acid synthesis defect 3", - "congenital bile acid synthesis defect 4", - "congenital bile acid synthesis defect 5", - "congenital bile acid synthesis defect 6", - "congenital central hypoventilation syndrome", - "congenital chylothorax", - "congenital contractural arachnodactyly", - "congenital diaphragmatic hernia", - "congenital diarrhea", - "congenital diarrhea 5 with tufting enteropathy", - "congenital diarrhea 6", - "congenital diarrhea 7 with exudative enteropathy", - "congenital disorder of glycosylation", - "congenital disorder of glycosylation Ia", - "congenital disorder of glycosylation Iaa", - "congenital disorder of glycosylation Ib", - "congenital disorder of glycosylation Ic", - "congenital disorder of glycosylation Id", - "congenital disorder of glycosylation Ie", - "congenital disorder of glycosylation If", - "congenital disorder of glycosylation Ig", - "congenital disorder of glycosylation Ih", - "congenital disorder of glycosylation Ii", - "congenital disorder of glycosylation Ij", - "congenital disorder of glycosylation Ik", - "congenital disorder of glycosylation Il", - "congenital disorder of glycosylation Im", - "congenital disorder of glycosylation In", - "congenital disorder of glycosylation Ip", - "congenital disorder of glycosylation Iq", - "congenital disorder of glycosylation Ir", - "congenital disorder of glycosylation It", - "congenital disorder of glycosylation Iu", - "congenital disorder of glycosylation Iw", - "congenital disorder of glycosylation Ix", - "congenital disorder of glycosylation Iy", - "congenital disorder of glycosylation type I", - "congenital disorder of glycosylation type II", - "congenital disorder of glycosylation type IIa", - "congenital disorder of glycosylation type IIb", - "congenital disorder of glycosylation type IIc", - "congenital disorder of glycosylation type IId", - "congenital disorder of glycosylation type IIe", - "congenital disorder of glycosylation type IIf", - "congenital disorder of glycosylation type IIg", - "congenital disorder of glycosylation type IIh", - "congenital disorder of glycosylation type IIi", - "congenital disorder of glycosylation type IIj", - "congenital disorder of glycosylation type IIk", - "congenital disorder of glycosylation type IIl", - "congenital disorder of glycosylation type IIm", - "congenital disorder of glycosylation type IIn", - "congenital disorder of glycosylation type IIo", - "congenital disorder of glycosylation type IIp", - "congenital disorder of glycosylation type IIq", - "congenital dyserythropoietic anemia", - "congenital dyserythropoietic anemia type I", - "congenital dyserythropoietic anemia type Ia", - "congenital dyserythropoietic anemia type Ib", - "congenital dyserythropoietic anemia type II", - "congenital dyserythropoietic anemia type III", - "congenital dyserythropoietic anemia type IV", - "congenital epulis", - "congenital fiber-type disproportion", - "congenital fibrosarcoma", - "congenital fibrosis of the extraocular muscles", - "congenital generalized lipodystrophy", - "congenital generalized lipodystrophy type 1", - "congenital generalized lipodystrophy type 2", - "congenital generalized lipodystrophy type 3", - "congenital generalized lipodystrophy type 4", - "congenital granular cell tumor", - "congenital heart block", - "congenital heart defects, hamartomas of tongue, and polysyndactyly", - "congenital heart disease", - "congenital hemolytic anemia", - "congenital hereditary endothelial dystrophy of cornea", - "congenital hypogammaglobulinemia", - "congenital hypoplastic anemia", - "congenital hypothyroidism", - "congenital hypotrichosis with juvenile macular dystrophy", - "congenital intrinsic factor deficiency", - "congenital lactase deficiency", - "congenital leptin deficiency", - "congenital malabsorptive diarrhea 4", - "congenital merosin-deficient muscular dystrophy 1A", - "congenital mesoblastic nephroma", - "congenital mirror movement disorder", - "congenital muscular dystrophy", - "congenital muscular dystrophy 1B", - "congenital muscular dystrophy due to integrin alpha-7 deficiency", - "congenital muscular dystrophy due to LMNA mutation", - "congenital muscular dystrophy merosin-positive", - "congenital muscular dystrophy with cataracts and intellectual disability", - "congenital muscular dystrophy-dystroglycanopathy A14", - "congenital muscular dystrophy-dystroglycanopathy A7", - "congenital muscular dystrophy-dystroglycanopathy type A", - "congenital muscular dystrophy-dystroglycanopathy type A1", - "congenital muscular dystrophy-dystroglycanopathy type A10", - "congenital muscular dystrophy-dystroglycanopathy type A11", - "congenital muscular dystrophy-dystroglycanopathy type A12", - "congenital muscular dystrophy-dystroglycanopathy type A13", - "congenital muscular dystrophy-dystroglycanopathy type A2", - "congenital muscular dystrophy-dystroglycanopathy type A3", - "congenital muscular dystrophy-dystroglycanopathy type A5", - "congenital muscular dystrophy-dystroglycanopathy type A6", - "congenital muscular dystrophy-dystroglycanopathy type A8", - "congenital muscular dystrophy-dystroglycanopathy type A9", - "congenital myasthenic syndrome", - "congenital myasthenic syndrome 10", - "congenital myasthenic syndrome 11", - "congenital myasthenic syndrome 12", - "congenital myasthenic syndrome 13", - "congenital myasthenic syndrome 14", - "congenital myasthenic syndrome 15", - "congenital myasthenic syndrome 16", - "congenital myasthenic syndrome 17", - "congenital myasthenic syndrome 18", - "congenital myasthenic syndrome 19", - "congenital myasthenic syndrome 1A", - "congenital myasthenic syndrome 1B", - "congenital myasthenic syndrome 20", - "congenital myasthenic syndrome 21", - "congenital myasthenic syndrome 22", - "congenital myasthenic syndrome 2A", - "congenital myasthenic syndrome 2C", - "congenital myasthenic syndrome 3A", - "congenital myasthenic syndrome 3B", - "congenital myasthenic syndrome 3C", - "congenital myasthenic syndrome 4A", - "congenital myasthenic syndrome 4B", - "congenital myasthenic syndrome 4C", - "congenital myasthenic syndrome 5", - "congenital myasthenic syndrome 6", - "congenital myasthenic syndrome 7", - "congenital myasthenic syndrome 8", - "congenital myasthenic syndrome 9", - "congenital myopathy", - "congenital nervous system abnormality", - "congenital nongoitrous hypothyroidism 1", - "congenital nongoitrous hypothyroidism 2", - "congenital nongoitrous hypothyroidism 3", - "congenital nongoitrous hypothyroidism 4", - "congenital nongoitrous hypothyroidism 5", - "congenital nongoitrous hypothyroidism 6", - "congenital nonspherocytic hemolytic anemia", - "congenital nystagmus", - "congenital ptosis", - "congenital secretory chloride diarrhea 1", - "congenital secretory sodium diarrhea 3", - "congenital secretory sodium diarrhea 8", - "congenital stationary night blindness", - "congenital stationary night blindness 1A", - "congenital stationary night blindness 1B", - "congenital stationary night blindness 1C", - "congenital stationary night blindness 1D", - "congenital stationary night blindness 1E", - "congenital stationary night blindness 1F", - "congenital stationary night blindness 1G", - "congenital stationary night blindness 1H", - "congenital stationary night blindness 2A", - "congenital stationary night blindness autosomal dominant 1", - "congenital stationary night blindness autosomal dominant 2", - "congenital stationary night blindness autosomal dominant 3", - "congenital stromal corneal dystrophy", - "congenital structural myopathy", - "congenital sucrase-isomaltase deficiency", - "congenital symblepharon", - "congenital syphilis", - "congenital toxoplasmosis", - "congenital vertical talus", - "congestive heart failure", - "conidiobolomycosis", - "conjugate gaze palsy", - "conjunctival cancer", - "conjunctival concretion", - "conjunctival degeneration", - "conjunctival deposit", - "conjunctival disease", - "conjunctival folliculosis", - "conjunctival intraepithelial neoplasm", - "conjunctival nevus", - "conjunctival pigmentation", - "conjunctival pterygium", - "conjunctival squamous cell carcinoma", - "conjunctival vascular disease", - "conjunctivitis", - "conjunctivochalasis", - "Conn's syndrome", - "connective tissue benign neoplasm", - "connective tissue cancer", - "connective tissue disease", - "constant exophthalmos", - "constipation", - "constrictive pericarditis", - "contact blepharoconjunctivitis", - "contact dermatitis", - "contact lens corneal edema", - "contagious pustular dermatitis", - "conus medullaris neoplasm", - "conventional angiosarcoma", - "conventional central osteosarcoma", - "conventional fibrosarcoma", - "conventional leiomyosarcoma", - "conventional malignant hemangiopericytoma", - "conversion disorder", - "copper deficiency myelopathy", - "Cor pulmonale", - "cork-handlers' disease", - "cornea cancer", - "cornea plana", - "cornea squamous cell carcinoma", - "corneal abscess", - "corneal argyrosis", - "corneal degeneration", - "corneal deposit", - "corneal disease", - "corneal dystrophy", - "corneal dystrophy-perceptive deafness syndrome", - "corneal ectasia", - "corneal edema", - "corneal endothelial dystrophy", - "corneal intraepithelial neoplasm", - "corneal neovascularization", - "corneal staphyloma", - "corneal ulcer", - "Cornelia de Lange syndrome", - "Cornelia de Lange syndrome 1", - "Cornelia de Lange syndrome 2", - "Cornelia de Lange syndrome 3", - "Cornelia de Lange syndrome 4", - "Cornelia de Lange syndrome 5", - "coronary aneurysm", - "coronary artery anomaly", - "coronary artery disease", - "coronary artery vasospasm", - "coronary restenosis", - "coronary stenosis", - "coronary thrombosis", - "Coronavirus infection", - "coronin-1A deficiency", - "corpus callosum agenesis-intellectual disability-coloboma-micrognathia syndrome", - "corpus callosum lipoma", - "corpus callosum oligodendroglioma", - "corpus luteum cyst", - "cortical blindness", - "cortical deafness", - "cortical dysplasia-focal epilepsy syndrome", - "cortical senile cataract", - "cortical thymoma", - "corticosteroid allergy", - "corticosteroid-binding globulin deficiency", - "corticosterone methyloxidase deficiency 1", - "cortisone reductase deficiency", - "cortisone reductase deficiency 1", - "cortisone reductase deficiency 2", - "Costello syndrome", - "cough variant asthma", - "COVID-19", - "cow milk allergy", - "Cowden syndrome", - "Cowper gland carcinoma", - "cowpox", - "crab allergy", - "cranial nerve disease", - "cranial nerve III tumor", - "cranial nerve malignant neoplasm", - "cranial nerve neoplasm", - "cranial nerve palsy", - "cranial pseudosarcomatous fasciitis", - "cranio-facial dystonia", - "craniodiaphyseal dysplasia", - "craniofacial-deafness-hand syndrome", - "craniofrontonasal syndrome", - "craniolenticulosutural dysplasia", - "craniometaphyseal dysplasia", - "craniopharyngioma", - "craniosynostosis", - "crater-like holes of optic disc", - "creatine transporter deficiency", - "crescentic glomerulonephritis", - "CREST syndrome", - "Creutzfeldt-Jakob disease", - "Cri-Du-Chat syndrome", - "cribriform carcinoma", - "cribriform variant testicular seminoma", - "Crigler-Najjar syndrome", - "Crimean-Congo hemorrhagic fever", - "critical illness polyneuropathy", - "Crohn's colitis", - "Crohn's disease", - "Cronkhite-Canada syndrome", - "croup", - "Crouzon syndrome", - "Crouzon syndrome-acanthosis nigricans syndrome", - "crustacean allergy", - "cryoglobulinemia", - "Cryptococcal meningitis", - "cryptococcosis", - "cryptogenic organizing pneumonia", - "cryptophthalmia", - "cryptorchidism", - "cryptosporidiosis", - "CSF1R-related brain malformation and osteopetrosis", - "CST3-related cerebral amyloid angiopathy", - "Culler-Jones syndrome", - "Currarino syndrome", - "cutaneous adenocystic carcinoma", - "cutaneous anthrax", - "cutaneous candidiasis", - "cutaneous diphtheria", - "cutaneous fibrous histiocytoma", - "cutaneous ganglioneuroma", - "cutaneous leiomyosarcoma", - "cutaneous leishmaniasis", - "cutaneous liposarcoma", - "cutaneous lupus erythematosus", - "cutaneous mastocytosis", - "cutaneous mucoepidermoid carcinoma", - "cutaneous mycosis", - "cutaneous Paget's disease", - "cutaneous porphyria", - "cutaneous solitary mastocytoma", - "cutaneous T cell lymphoma", - "cutis laxa", - "cyclic hematopoiesis", - "cyclophosphamide allergy", - "cycloplegia", - "cyclosporiasis", - "cyclothymic disorder", - "cyclotropia", - "cylindrical spirals myopathy", - "cystadenocarcinoma", - "cystadenofibroma", - "cystadenoma", - "cystathioninuria", - "cystic basal cell carcinoma", - "cystic echinococcosis", - "cystic fibrosis", - "cystic kidney disease", - "cystic lymphangioma", - "cystic teratoma", - "cysticercosis", - "cystinosis", - "cystinuria", - "cystitis", - "cystitis cystica", - "cystoid macular edema", - "cystoid macular retinal degeneration", - "cystoisosporiasis", - "cytochrome-c oxidase deficiency disease", - "Cytomegalovirus retinitis", - "D-2-hydroxyglutaric aciduria", - "D-2-hydroxyglutaric aciduria 1", - "D-2-hydroxyglutaric aciduria 2", - "D-bifunctional protein deficiency", - "D-glyceric aciduria", - "D-mannitol allergy", - "dacryoadenitis", - "dacryocystitis", - "dacryocystocele", - "Dandy-Walker syndrome", - "Danon disease", - "dartoic leiomyoma", - "De Quervain disease", - "deafness-dystonia-optic neuronopathy syndrome", - "deafness-intellectual disability, Martin-Probst type syndrome", - "decubitus ulcer", - "dedifferentiated liposarcoma", - "deep angioma", - "deep corneal vascularisation", - "deep keratitis", - "deep leiomyoma", - "deficiency anemia", - "degeneration of macula and posterior pole", - "degenerative disc disease", - "degenerative myopia", - "dehydrated hereditary stomatocytosis", - "dehydrated hereditary stomatocytosis 1", - "dehydrated hereditary stomatocytosis 2", - "dehydration polycythemia", - "delayed sleep phase syndrome", - "delta chain disease", - "delusional disorder", - "dementia", - "demyelinating disease", - "demyelinating polyneuropathy", - "dendritic cell sarcoma", - "dendritic cell thymoma", - "dengue disease", - "dengue hemorrhagic fever", - "dengue shock syndrome", - "Dent disease", - "dental abscess", - "dental caries", - "dental enamel hypoplasia", - "dental fluorosis", - "dental pulp calcification", - "dental pulp disease", - "dental pulp necrosis", - "dentatorubral-pallidoluysian atrophy", - "dentin caries", - "dentin dysplasia", - "dentin sensitivity", - "dentine erosion", - "dentinogenesis imperfecta", - "denture stomatitis", - "Denys-Drash syndrome", - "dependent personality disorder", - "depersonalization disorder", - "dermal unilateral segmental cavernous angioma", - "dermatitis", - "dermatitis herpetiformis", - "dermatofibrosarcoma protuberans", - "dermatographia", - "dermatomycosis", - "dermatomyositis", - "dermatopathia pigmentosa reticularis", - "dermatophytosis", - "dermatosis papulosa nigra", - "dermis tumor", - "dermoid cyst", - "dermoid cyst of ovary", - "dermoid cyst of skin", - "Desbuquois dysplasia", - "descending colon cancer", - "desmoid tumor", - "desquamative interstitial pneumonia", - "detrusor sphincter dyssynergia", - "developmental cardiac valvular defect", - "developmental coordination disorder", - "developmental delay and seizures with or without movement abnormalities", - "developmental disorder of mental health", - "dextro-looped transposition of the great arteries", - "dextro-looped transposition of the great arteries 1", - "dextro-looped transposition of the great arteries 3", - "dextrocardia", - "diabetes insipidus", - "diabetes mellitus", - "diabetic angiopathy", - "diabetic autonomic neuropathy", - "diabetic cataract", - "diabetic encephalopathy", - "diabetic ketoacidosis", - "diabetic macular edema", - "diabetic neuropathy", - "diabetic peripheral angiopathy", - "diabetic polyneuropathy", - "diabetic retinopathy", - "Diamond-Blackfan anemia", - "diaphragm disease", - "diaphragma sellae meningioma", - "diaphragmatic eventration", - "diarrhea", - "diastolic heart failure", - "diastrophic dysplasia", - "DIC in newborn", - "dicarboxylic aminoaciduria", - "diclofenac allergy", - "dicrocoeliasis", - "diencephalic astrocytomas", - "diencephalic neoplasm", - "dientamoebiasis", - "Dieulafoy lesion", - "differentiated thyroid gland carcinoma", - "differentiating neuroblastoma", - "diffuse alopecia areata", - "diffuse cutaneous mastocytosis", - "diffuse cystic renal dysplasia", - "diffuse glomerulonephritis", - "diffuse idiopathic skeletal hyperostosis", - "diffuse infiltrative lymphocytosis syndrome", - "diffuse interstitial keratitis", - "diffuse large B-cell lymphoma", - "diffuse lipomatosis", - "diffuse meningeal melanocytosis", - "diffuse peritoneal leiomyomatosis", - "diffuse pulmonary fibrosis", - "diffuse scleroderma", - "diffuse secondary choroid atrophy", - "digenic disease", - "DiGeorge syndrome", - "dihydropyrimidinase deficiency", - "dihydropyrimidine dehydrogenase deficiency", - "dilated cardiomyopathy", - "dilated cardiomyopathy 1A", - "dilated cardiomyopathy 1AA", - "dilated cardiomyopathy 1B", - "dilated cardiomyopathy 1BB", - "dilated cardiomyopathy 1C", - "dilated cardiomyopathy 1CC", - "dilated cardiomyopathy 1D", - "dilated cardiomyopathy 1DD", - "dilated cardiomyopathy 1E", - "dilated cardiomyopathy 1EE", - "dilated cardiomyopathy 1FF", - "dilated cardiomyopathy 1G", - "dilated cardiomyopathy 1GG", - "dilated cardiomyopathy 1H", - "dilated cardiomyopathy 1HH", - "dilated cardiomyopathy 1I", - "dilated cardiomyopathy 1II", - "dilated cardiomyopathy 1J", - "dilated cardiomyopathy 1JJ", - "dilated cardiomyopathy 1K", - "dilated cardiomyopathy 1KK", - "dilated cardiomyopathy 1L", - "dilated cardiomyopathy 1M", - "dilated cardiomyopathy 1NN", - "dilated cardiomyopathy 1O", - "dilated cardiomyopathy 1P", - "dilated cardiomyopathy 1Q", - "dilated cardiomyopathy 1R", - "dilated cardiomyopathy 1S", - "dilated cardiomyopathy 1T", - "dilated cardiomyopathy 1U", - "dilated cardiomyopathy 1V", - "dilated cardiomyopathy 1W", - "dilated cardiomyopathy 1X", - "dilated cardiomyopathy 1Y", - "dilated cardiomyopathy 1Z", - "dilated cardiomyopathy 2A", - "dilated cardiomyopathy 2B", - "dilated cardiomyopathy-hypergonadotropic hypogonadism syndrome", - "dioctophymiasis", - "dipetalonemiasis", - "diphenylmethane-4,4'-diisocyanate allergic asthma", - "diphenylmethane-4,4'-diisocyanate allergic contact dermatitis", - "diphtheria", - "diphtheritic cystitis", - "diphtheritic peritonitis", - "diphyllobothriasis", - "diplegia of upper limb", - "dirofilariasis", - "discharging ear", - "discitis", - "discoid lupus erythematosus of eyelid", - "discrete subaortic stenosis", - "disease", - "disease by infectious agent", - "disease of anatomical entity", - "disease of cellular proliferation", - "disease of mental health", - "disease of metabolism", - "dislocation of ear ossicle", - "disodium cromoglycate allergy", - "disorders of sexual development", - "displacement of cardia through esophageal hiatus", - "disseminated chorioretinitis", - "disseminated eosinophilic collagen disease", - "disseminated intravascular coagulation", - "dissociated nystagmus", - "dissociative amnesia", - "dissociative disorder", - "distal 10q deletion syndrome", - "distal arthrogryposis", - "distal arthrogryposis type 1", - "distal arthrogryposis type 10", - "distal arthrogryposis type 1A", - "distal arthrogryposis type 1B", - "distal arthrogryposis type 2A", - "distal arthrogryposis type 2B", - "distal arthrogryposis type 2B1", - "distal arthrogryposis type 2B2", - "distal arthrogryposis type 2B3", - "distal arthrogryposis type 3", - "distal arthrogryposis type 4", - "distal arthrogryposis type 5", - "distal arthrogryposis type 5D", - "distal arthrogryposis type 6", - "distal arthrogryposis type 7", - "distal biliary tract carcinoma", - "distal hereditary motor neuronopathy type 1", - "distal hereditary motor neuronopathy type 2", - "distal hereditary motor neuronopathy type 2A", - "distal hereditary motor neuronopathy type 2C", - "distal hereditary motor neuronopathy type 2D", - "distal hereditary motor neuronopathy type 5", - "distal hereditary motor neuronopathy type 5A", - "distal hereditary motor neuronopathy type 5B", - "distal hereditary motor neuronopathy type 7", - "distal hereditary motor neuronopathy type 7A", - "distal hereditary motor neuronopathy type 7B", - "distal hereditary motor neuronopathy type 8", - "distal hereditary motor neuronopathy type 9", - "distal hereditary motor neuropathy type 2B", - "distal muscular dystrophy 3", - "distal muscular dystrophy 4", - "distal muscular dystrophy Tateyama type", - "distal muscular dystrophy with anterior tibial onset", - "distal myopathy", - "distal myopathy 1", - "distal spinal muscular atrophy 1", - "distal spinal muscular atrophy 2", - "distal spinal muscular atrophy type 3", - "distal spinal muscular atrophy type 4", - "distal spinal muscular atrophy type 5", - "disuse amblyopia", - "diversion colitis", - "diverticulitis", - "diverticulitis of colon", - "DNA ligase IV deficiency", - "dominant optic atrophy plus syndrome", - "dominant pericentral pigmentary retinopathy", - "Donnai-Barrow syndrome", - "Donohue syndrome", - "DOORS syndrome", - "dopamine beta-hydroxylase deficiency", - "double outlet right ventricle", - "double pterygium", - "Dowling-Degos disease", - "Down syndrome", - "Doyne honeycomb retinal dystrophy", - "dracunculiasis", - "Dravet syndrome", - "Dressler's syndrome", - "drug allergy", - "drug dependence", - "drug psychosis", - "drug-induced hearing loss", - "drug-induced hepatitis", - "drug-induced lupus erythematosus", - "drug-induced mental disorder", - "dry beriberi", - "dry eye syndrome", - "Duane retraction syndrome", - "Duane-radial ray syndrome", - "Dubin-Johnson syndrome", - "Dubowitz syndrome", - "Duchenne muscular dystrophy", - "ductal carcinoma in situ", - "dumping syndrome", - "duodenal atresia", - "duodenal benign neoplasm", - "duodenal gastrinoma", - "duodenal obstruction", - "duodenal somatostatinoma", - "duodenal ulcer", - "duodenitis", - "duodenogastric reflux", - "duodenum adenocarcinoma", - "duodenum adenoma", - "duodenum cancer", - "duodenum disease", - "Dyggve-Melchior-Clausen disease", - "dysbaric osteonecrosis", - "dyscalculia", - "dyschromatosis symmetrica hereditaria", - "dyschromatosis universalis hereditaria", - "dysembryoplastic neuroepithelial tumor", - "dysentery", - "dysgammaglobulinemia", - "dysgerminoma", - "dysgerminoma of ovary", - "dysgraphia", - "dyshormonogenic goiter", - "dyskeratosis congenita", - "dyskinesia of esophagus", - "dyskinetic cerebral palsy", - "dyslexia", - "dysostosis", - "dysplastic nevus syndrome", - "dysthymic disorder", - "dystonia", - "dystonia 12", - "dystonia 16", - "dystonia 21", - "dystonia 23", - "dystonia 24", - "dystonia 25", - "dystonia 27", - "dystonia 5", - "dystonia 9", - "dystransthyretinemic hyperthyroxinemia", - "dystrophies primarily involving the retinal pigment epithelium", - "ear cancer", - "early congenital syphilis", - "early infantile epileptic encephalopathy", - "early infantile epileptic encephalopathy 1", - "early infantile epileptic encephalopathy 11", - "early infantile epileptic encephalopathy 12", - "early infantile epileptic encephalopathy 13", - "early infantile epileptic encephalopathy 14", - "early infantile epileptic encephalopathy 15", - "early infantile epileptic encephalopathy 16", - "early infantile epileptic encephalopathy 17", - "early infantile epileptic encephalopathy 18", - "early infantile epileptic encephalopathy 19", - "early infantile epileptic encephalopathy 2", - "early infantile epileptic encephalopathy 21", - "early infantile epileptic encephalopathy 23", - "early infantile epileptic encephalopathy 24", - "early infantile epileptic encephalopathy 25", - "early infantile epileptic encephalopathy 26", - "early infantile epileptic encephalopathy 27", - "early infantile epileptic encephalopathy 28", - "early infantile epileptic encephalopathy 29", - "early infantile epileptic encephalopathy 3", - "early infantile epileptic encephalopathy 30", - "early infantile epileptic encephalopathy 31", - "early infantile epileptic encephalopathy 32", - "early infantile epileptic encephalopathy 33", - "early infantile epileptic encephalopathy 34", - "early infantile epileptic encephalopathy 35", - "early infantile epileptic encephalopathy 36", - "early infantile epileptic encephalopathy 37", - "early infantile epileptic encephalopathy 38", - "early infantile epileptic encephalopathy 39", - "early infantile epileptic encephalopathy 4", - "early infantile epileptic encephalopathy 40", - "early infantile epileptic encephalopathy 41", - "early infantile epileptic encephalopathy 42", - "early infantile epileptic encephalopathy 43", - "early infantile epileptic encephalopathy 44", - "early infantile epileptic encephalopathy 45", - "early infantile epileptic encephalopathy 46", - "early infantile epileptic encephalopathy 47", - "early infantile epileptic encephalopathy 48", - "early infantile epileptic encephalopathy 49", - "early infantile epileptic encephalopathy 5", - "early infantile epileptic encephalopathy 50", - "early infantile epileptic encephalopathy 51", - "early infantile epileptic encephalopathy 52", - "early infantile epileptic encephalopathy 53", - "early infantile epileptic encephalopathy 54", - "early infantile epileptic encephalopathy 55", - "early infantile epileptic encephalopathy 56", - "early infantile epileptic encephalopathy 57", - "early infantile epileptic encephalopathy 58", - "early infantile epileptic encephalopathy 59", - "early infantile epileptic encephalopathy 60", - "early infantile epileptic encephalopathy 61", - "early infantile epileptic encephalopathy 62", - "early infantile epileptic encephalopathy 63", - "early infantile epileptic encephalopathy 65", - "early infantile epileptic encephalopathy 66", - "early infantile epileptic encephalopathy 7", - "early infantile epileptic encephalopathy 8", - "early infantile epileptic encephalopathy 9", - "early invasive cervical adenocarcinoma", - "early myoclonic encephalopathy", - "early onset absence epilepsy", - "early yaws", - "early-onset myopathy-areflexia-respiratory distress-dysphagia syndrome", - "early-onset Parkinson's disease", - "EAST syndrome", - "Eastern equine encephalitis", - "eating disorder", - "Ebola hemorrhagic fever", - "Ebstein anomaly", - "eccrine acrospiroma", - "eccrine adenocarcinoma", - "eccrine mixed tumor of skin", - "eccrine papillary adenocarcinoma", - "eccrine papillary adenoma", - "eccrine porocarcinoma", - "eccrine sweat gland cancer", - "eccrine sweat gland neoplasm", - "echinococcosis", - "echinostomiasis", - "echolalia", - "eclampsia", - "ecthyma", - "ectodermal dysplasia", - "ectodermal dysplasia 1", - "ectodermal dysplasia 10A", - "ectodermal dysplasia 10B", - "ectodermal dysplasia 11A", - "ectodermal dysplasia 11B", - "ectodermal dysplasia 12", - "ectodermal dysplasia 13", - "ectodermal dysplasia 14", - "ectodermal dysplasia 15", - "ectodermal dysplasia 4", - "ectodermal dysplasia 5", - "ectodermal dysplasia 6", - "ectodermal dysplasia 7", - "ectodermal dysplasia 8", - "ectodermal dysplasia 9", - "ectodermal dysplasia, ectrodactyly, and macular dystrophy syndrome", - "ectomesenchymoma", - "ectopia lentis with ectopia of pupil", - "ectopic Cushing syndrome", - "ectopic pregnancy", - "ectopic thymus", - "ectothrix infectious disease", - "ectrodactyly, ectodermal dysplasia, and cleft lip-palate syndrome 1", - "ectrodactyly, ectodermal dysplasia, and cleft lip-palate syndrome 3", - "ectropion", - "eczema herpeticum", - "eczematous dermatitis of eyelid", - "Edwards syndrome", - "EEC syndrome", - "egg allergy", - "ego-dystonic sexual orientation", - "Ehlers-Danlos syndrome", - "Ehlers-Danlos syndrome progeroid type", - "Ehrlich tumor carcinoma", - "ehrlichiosis", - "Eiken syndrome", - "electroclinical syndrome", - "elephantiasis", - "Ellis-Van Creveld syndrome", - "Elsahy-Waters syndrome", - "embryoma", - "embryonal cancer", - "embryonal carcinoma", - "embryonal extrahepatic bile duct rhabdomyosarcoma", - "embryonal rhabdomyosarcoma", - "embryonal testis carcinoma", - "Emery-Dreifuss muscular dystrophy", - "emphysematous cholecystitis", - "empty sella syndrome", - "enamel caries", - "enamel erosion", - "encapsulated thymoma", - "encephalitis", - "encephalitozoonosis", - "encephalomalacia", - "encephalomyelitis", - "encephalopathy due to defective mitochondrial and peroxisomal fission 1", - "end stage renal failure", - "endemic goiter", - "endemic typhus", - "endobronchial leiomyoma", - "endobronchial lipoma", - "endocardial fibroelastosis", - "endocarditis", - "endocardium cancer", - "endocardium disease", - "endocervical adenocarcinoma", - "endocervical carcinoma", - "endocervical type cervical adenomyoma", - "endocervical type cervical mucinous adenocarcinoma", - "endocervicitis", - "endocrine exophthalmos", - "endocrine gland cancer", - "endocrine organ benign neoplasm", - "endocrine pancreas disease", - "endocrine system disease", - "endocrine-cerebro-osteodysplasia syndrome", - "endodermal sinus pattern testicular yolk sac tumor", - "endodermal sinus tumor", - "endogenous depression", - "endolymphatic hydrops", - "endometrial adenocarcinoma", - "endometrial adenosquamous carcinoma", - "endometrial cancer", - "endometrial carcinoma", - "endometrial clear cell adenocarcinoma", - "endometrial disease", - "endometrial hyperplasia", - "endometrial mixed adenocarcinoma", - "endometrial mucinous adenocarcinoma", - "endometrial serous adenocarcinoma", - "endometrial small cell carcinoma", - "endometrial squamous cell carcinoma", - "endometrial stromal nodule", - "endometrial stromal sarcoma", - "endometrial stromal tumor", - "endometrial transitional cell carcinoma", - "endometrial type cervical adenomyoma", - "endometrioid ovary carcinoma", - "endometriosis", - "endometriosis in scar of skin", - "endometriosis of intestine", - "endometriosis of ovary", - "endometriosis of pelvic peritoneum", - "endometriosis of rectovaginal septum and vagina", - "endometriosis of uterus", - "endometritis", - "endometrium carcinoma in situ", - "endomyocardial fibrosis", - "endophthalmitis", - "endosalpingiosis", - "endothrix infectious disease", - "enhanced S-cone syndrome", - "enlarged vestibular aqueduct", - "enophthalmos", - "enteric pattern testicular yolk sac tumor", - "enterobiasis", - "enterocele", - "enterokinase deficiency", - "enthesopathy", - "entropion", - "eosinophilia-myalgia syndrome", - "eosinophilic esophagitis", - "eosinophilic gastritis", - "eosinophilic gastroenteritis", - "eosinophilic meningitis", - "eosinophilic pneumonia", - "eosinophilic variant of chromophobe renal cell carcinoma", - "ependymoblastoma", - "epicardium cancer", - "epicardium lipoma", - "epicondylitis", - "epidemic pleurodynia", - "epidemic typhus", - "epidermal appendage tumor", - "epidermal nevus", - "epidermodysplasia verruciformis", - "epidermolysis bullosa", - "epidermolysis bullosa acquisita", - "epidermolysis bullosa dystrophica", - "epidermolysis bullosa simplex", - "epidermolysis bullosa simplex Dowling-Meara type", - "epidermolysis bullosa simplex generalized type", - "epidermolysis bullosa simplex localized type", - "epidermolysis bullosa simplex Ogna type", - "epidermolysis bullosa simplex with mottled pigmentation", - "epidermolysis bullosa simplex with muscular dystrophy", - "epidermolysis bullosa with congenital localized absence of skin and deformity of nails", - "epidermolytic acanthoma", - "epidermolytic hyperkeratosis", - "epidermolytic palmoplantar keratoderma", - "epididymal neoplasm", - "epididymis adenocarcinoma", - "epididymis adenomatoid tumor", - "epididymis cancer", - "epididymis disease", - "epididymitis", - "epididymo-orchitis", - "epidural abscess", - "epidural spinal canal angiolipoma", - "epidural spinal canal meningioma", - "epidural spinal canal neoplasm", - "epiglottis cancer", - "epiglottis neoplasm", - "epiglottitis", - "epilepsy", - "epilepsy with generalized tonic-clonic seizures", - "epiphora due to excess lacrimation", - "epiphora due to insufficient drainage", - "episcleritis periodica fugax", - "episodic ataxia", - "episodic ataxia type 1", - "episodic ataxia type 2", - "episodic ataxia type 3", - "episodic ataxia type 4", - "episodic ataxia type 5", - "episodic ataxia type 6", - "episodic ataxia type 7", - "episodic ataxia type 8", - "episodic kinesigenic dyskinesia 1", - "episodic kinesigenic dyskinesia 2", - "epithelial and subepithelial dystrophy", - "epithelial basement membrane dystrophy", - "epithelial malignant thymoma", - "epithelial predominant pulmonary blastoma", - "epithelial predominant Wilms' tumor", - "epithelial recurrent erosion dystrophy", - "epithelial-myoepithelial carcinoma", - "epithelial-stromal TGFBI dystrophy", - "epithelioid cell melanoma", - "epithelioid cell synovial sarcoma", - "epithelioid inflammatory myofibroblastic sarcoma", - "epithelioid leiomyosarcoma", - "epithelioid malignant peripheral nerve sheath tumor", - "epithelioid neurofibroma", - "epithelioid sarcoma", - "epithelioid trophoblastic tumor", - "epithelioid type angiomyolipoma", - "Epstein-Barr virus hepatitis", - "epulis", - "equatorial staphyloma", - "Erdheim-Chester disease", - "erysipelas", - "erysipeloid", - "erythema elevatum diutinum", - "erythema infectiosum", - "erythema multiforme", - "erythematosquamous dermatosis", - "erythrasma", - "erythrokeratodermia variabilis", - "erythrokeratodermia variabilis et progressiva 1", - "erythrokeratodermia variabilis et progressiva 2", - "erythrokeratodermia variabilis et progressiva 3", - "erythrokeratodermia variabilis et progressiva 4", - "erythrokeratodermia variabilis et progressiva 5", - "erythromelalgia", - "erythropoietic protoporphyria", - "erythropoietin polycythemia", - "esophageal adenoid cystic carcinoma", - "esophageal adenosquamous carcinoma", - "esophageal atresia", - "esophageal atresia/tracheoesophageal fistula", - "esophageal basaloid squamous cell carcinoma", - "esophageal cancer", - "esophageal candidiasis", - "esophageal carcinoma", - "esophageal disease", - "esophageal diverticulosis", - "esophageal leukoplakia", - "esophageal lipoma", - "esophageal neuroendocrine tumor", - "esophageal tuberculosis", - "esophageal varix", - "esophagitis", - "esophagus adenocarcinoma", - "esophagus carcinoma in situ", - "esophagus leiomyoma", - "esophagus leiomyosarcoma", - "esophagus liposarcoma", - "esophagus lymphoma", - "esophagus melanoma", - "esophagus sarcoma", - "esophagus small cell carcinoma", - "esophagus squamous cell carcinoma", - "esophagus squamous cell papilloma", - "esophagus verrucous carcinoma", - "esotropia", - "essential fructosuria", - "essential hypertension", - "essential thrombocythemia", - "essential tremor", - "essential tremor 1", - "essential tremor 2", - "essential tremor 3", - "essential tremor 4", - "essential tremor 5", - "estrogen excess", - "estrogen-receptor negative breast cancer", - "estrogen-receptor positive breast cancer", - "ethmoid sinus adenocarcinoma", - "ethmoid sinus adenoid cystic carcinoma", - "ethmoid sinus cancer", - "ethmoid sinus ectopic meningioma", - "ethmoid sinus inverted papilloma", - "ethmoid sinus Schneiderian papilloma", - "ethmoid sinus squamous cell carcinoma", - "ethmoid sinusitis", - "ethmoidal sinus neoplasm", - "ethylmalonic encephalopathy", - "eumycotic mycetoma", - "eunuchism", - "eustachian tube disease", - "euthyroid sick syndrome", - "Evans' syndrome", - "eversion of lacrimal punctum", - "Ewing sarcoma", - "Ewing sarcoma of bone", - "exanthem", - "exanthema subitum", - "excessive tearing", - "exfoliation syndrome", - "exhibitionism", - "exocervical carcinoma", - "exocrine pancreatic insufficiency", - "exophthalmic ophthalmoplegia", - "exophthalmos", - "exostosis", - "exotropia", - "exposure keratitis", - "expressive language disorder", - "external auditory meatus lipoma", - "external ear basal cell carcinoma", - "external ear cancer", - "external ear carcinoma", - "external ear disease", - "external ear squamous cell carcinoma", - "external pathological resorption", - "extra-adrenal pheochromocytoma", - "extracranial neuroblastoma", - "extracutaneous mastocytoma", - "extragonadal germ cell cancer", - "extragonadal nonseminomatous germ cell tumor", - "extragonadal seminoma", - "extrahepatic bile duct adenocarcinoma", - "extrahepatic bile duct adenoma", - "extrahepatic bile duct carcinoma", - "extrahepatic bile duct cystadenoma", - "extrahepatic bile duct leiomyoma", - "extrahepatic bile duct leiomyosarcoma", - "extrahepatic bile duct lipoma", - "extrahepatic bile duct papillary adenoma", - "extrahepatic bile duct small cell adenocarcinoma", - "extrahepatic biliary papillomatosis", - "extrahepatic cholestasis", - "extramedullary plasmacytoma", - "extraocular retinoblastoma", - "extraosseous chondrosarcoma", - "extraosseous Ewing sarcoma", - "extraosseous Ewings sarcoma-primitive neuroepithelial tumor", - "extraosseous osteosarcoma", - "extrapulmonary tuberculosis", - "extrapyramidal and movement disease", - "extraskeletal chondroma", - "extraskeletal mesenchymal chondrosarcoma", - "extraskeletal myxoid chondrosarcoma", - "extratemporal epilepsy", - "extrinsic allergic alveolitis", - "extrinsic cardiomyopathy", - "exudative glomerulonephritis", - "exudative vitreoretinopathy", - "exudative vitreoretinopathy 1", - "exudative vitreoretinopathy 3", - "exudative vitreoretinopathy 4", - "exudative vitreoretinopathy 5", - "exudative vitreoretinopathy 6", - "exudative vitreoretinopathy 7", - "eye accommodation disease", - "eye carcinoma", - "eye carcinoma in situ", - "eye degenerative disease", - "eye disease", - "eye lymphoma", - "eyelid benign neoplasm", - "eyelid carcinoma", - "eyelid degenerative disease", - "eyelid disease", - "Fabry disease", - "facial dermatosis", - "facial hemiatrophy", - "facial nerve disease", - "facial nerve neoplasm", - "facial neuralgia", - "facial paralysis", - "facioscapulohumeral muscular dystrophy", - "facioscapulohumeral muscular dystrophy 1", - "facioscapulohumeral muscular dystrophy 2", - "factitious disorder", - "factor V deficiency", - "factor VII deficiency", - "factor VIII deficiency", - "factor X deficiency", - "factor XI deficiency", - "factor XII deficiency", - "factor XIII deficiency", - "fallopian tube adenocarcinoma", - "fallopian tube adenofibroma", - "fallopian tube adenomatoid tumor", - "fallopian tube adenosarcoma", - "fallopian tube benign neoplasm", - "fallopian tube cancer", - "fallopian tube carcinoma", - "fallopian tube carcinosarcoma", - "fallopian tube clear cell adenocarcinoma", - "fallopian tube cystadenofibroma", - "fallopian tube disease", - "fallopian tube endometrioid adenocarcinoma", - "fallopian tube endometriosis", - "fallopian tube germ cell cancer", - "fallopian tube gestational choriocarcinoma", - "fallopian tube leiomyoma", - "fallopian tube leiomyosarcoma", - "fallopian tube mucinous adenocarcinoma", - "fallopian tube mucinous tumor", - "fallopian tube papillary adenocarcinoma", - "fallopian tube serous adenocarcinoma", - "fallopian tube serous papilloma", - "fallopian tube squamous cell carcinoma", - "fallopian tube teratoma", - "fallopian tube transitional cell carcinoma", - "familial adenomatous polyposis", - "familial adenomatous polyposis 1", - "familial adenomatous polyposis 2", - "familial adenomatous polyposis 3", - "familial adenomatous polyposis 4", - "familial adult myoclonic epilepsy", - "familial adult myoclonic epilepsy 1", - "familial adult myoclonic epilepsy 2", - "familial adult myoclonic epilepsy 3", - "familial adult myoclonic epilepsy 4", - "familial adult myoclonic epilepsy 5", - "familial adult myoclonic epilepsy 6", - "familial adult myoclonic epilepsy 7", - "familial apolipoprotein A5 deficiency", - "familial apolipoprotein C-II deficiency", - "familial atrial fibrillation", - "familial benign fleck retina", - "familial chronic myelocytic leukemia-like syndrome", - "familial chylomicronemia due to inhibition of lipoprotein lipase activity", - "familial chylomicronemia syndrome", - "familial cold autoinflammatory syndrome", - "familial cold autoinflammatory syndrome 1", - "familial cold autoinflammatory syndrome 2", - "familial cold autoinflammatory syndrome 3", - "familial cold autoinflammatory syndrome 4", - "familial combined hyperlipidemia", - "familial encephalopathy with neuroserpin inclusion bodies", - "familial episodic pain syndrome", - "familial episodic pain syndrome 1", - "familial episodic pain syndrome 2", - "familial episodic pain syndrome 3", - "familial erythrocytosis 1", - "familial erythrocytosis 2", - "familial erythrocytosis 3", - "familial erythrocytosis 4", - "familial erythrocytosis 5", - "familial erythrocytosis 6", - "familial erythrocytosis 7", - "familial erythrocytosis 8", - "familial expansile osteolysis", - "familial febrile seizures", - "familial febrile seizures 1", - "familial febrile seizures 10", - "familial febrile seizures 11", - "familial febrile seizures 2", - "familial febrile seizures 4", - "familial febrile seizures 5", - "familial febrile seizures 6", - "familial febrile seizures 7", - "familial febrile seizures 8", - "familial febrile seizures 9", - "familial glomangioma", - "familial glucocorticoid deficiency", - "familial GPIHBP1 deficiency", - "familial hemiplegic migraine", - "familial hemiplegic migraine 1", - "familial hemiplegic migraine 2", - "familial hemiplegic migraine 3", - "familial hemophagocytic lymphohistiocytosis 1", - "familial hemophagocytic lymphohistiocytosis 2", - "familial hemophagocytic lymphohistiocytosis 3", - "familial hemophagocytic lymphohistiocytosis 4", - "familial hemophagocytic lymphohistiocytosis 5", - "familial hepatic adenoma", - "familial hypercholesterolemia", - "familial hyperinsulinemic hypoglycemia 1", - "familial hyperinsulinemic hypoglycemia 2", - "familial hyperinsulinemic hypoglycemia 3", - "familial hyperinsulinemic hypoglycemia 4", - "familial hyperinsulinemic hypoglycemia 5", - "familial hyperinsulinemic hypoglycemia 6", - "familial hyperinsulinemic hypoglycemia 7", - "familial hyperlipidemia", - "familial hypertrophic cardiomyopathy", - "familial hypertryptophanemia", - "familial hypobetalipoproteinemia 1", - "familial hypobetalipoproteinemia 2", - "familial hypocalciuric hypercalcemia", - "familial hypocalciuric hypercalcemia 1", - "familial hypocalciuric hypercalcemia 2", - "familial hypocalciuric hypercalcemia 3", - "familial isolated deficiency of vitamin E", - "familial isolated hypoparathyroidism", - "familial isolated trichomegaly", - "familial juvenile hyperuricemic nephropathy", - "familial lipase maturation factor 1 deficiency", - "familial lipoprotein lipase deficiency", - "familial male-limited precocious puberty", - "familial Mediterranean fever", - "familial medullary thyroid carcinoma", - "familial melanoma", - "familial meningioma", - "familial multiple nevi flammei", - "familial nephrotic syndrome", - "familial partial lipodystrophy", - "familial partial lipodystrophy type 1", - "familial partial lipodystrophy type 2", - "familial partial lipodystrophy type 3", - "familial partial lipodystrophy type 4", - "familial partial lipodystrophy type 5", - "familial partial lipodystrophy type 6", - "familial periodic paralysis", - "familial progressive hyperpigmentation with or without hypopigmentation", - "familial renal oncocytoma", - "familial renal papillary carcinoma", - "familial retinoblastoma", - "familial temporal lobe epilepsy 1", - "familial temporal lobe epilepsy 2", - "familial temporal lobe epilepsy 3", - "familial temporal lobe epilepsy 4", - "familial temporal lobe epilepsy 5", - "familial temporal lobe epilepsy 6", - "familial temporal lobe epilepsy 7", - "familial temporal lobe epilepsy 8", - "familial visceral amyloidosis", - "familial woolly hair syndrome", - "familiar fallopian tube carcinoma", - "familiar ovarian carcinoma", - "Fanconi anemia", - "Fanconi anemia complementation group A", - "Fanconi anemia complementation group B", - "Fanconi anemia complementation group C", - "Fanconi anemia complementation group D1", - "Fanconi anemia complementation group D2", - "Fanconi anemia complementation group E", - "Fanconi anemia complementation group F", - "Fanconi anemia complementation group G", - "Fanconi anemia complementation group I", - "Fanconi anemia complementation group J", - "Fanconi anemia complementation group L", - "Fanconi anemia complementation group N", - "Fanconi anemia complementation group O", - "Fanconi anemia complementation group P", - "Fanconi anemia complementation group Q", - "Fanconi anemia complementation group R", - "Fanconi anemia complementation group T", - "Fanconi anemia complementation group U", - "Fanconi anemia complementation group V", - "Fanconi syndrome", - "Fanconi-like syndrome", - "Far Eastern spotted fever", - "Farber lipogranulomatosis", - "farmer's lung", - "fasciitis", - "fascioliasis", - "fascioloidiasis", - "fasciolopsiasis", - "fat necrosis of breast", - "fatal familial insomnia", - "fatal infantile cardioencephalomyopathy due to cytochrome c oxidase deficiency", - "fatal infantile cardioencephalomyopathy due to cytochrome c oxidase deficiency 1", - "fatal infantile cardioencephalomyopathy due to cytochrome c oxidase deficiency 2", - "fatal infantile cardioencephalomyopathy due to cytochrome c oxidase deficiency 3", - "fatal infantile cardioencephalomyopathy due to cytochrome c oxidase deficiency 4", - "fatal infantile hypertonic myofibrillar myopathy", - "fatty liver disease", - "favism", - "Fazio-Londe disease", - "Feingold syndrome", - "Felty's syndrome", - "female breast axillary tail cancer", - "female breast cancer", - "female breast carcinoma", - "female breast central part cancer", - "female breast lower-inner quadrant cancer", - "female breast lower-outer quadrant cancer", - "female breast nipple and areola cancer", - "female breast upper-inner quadrant cancer", - "female breast upper-outer quadrant cancer", - "female infertility of uterine origin", - "female reproductive endometrioid cancer", - "female reproductive organ benign neoplasm", - "female reproductive organ cancer", - "female reproductive system disease", - "female stress incontinence", - "female urethral cancer", - "femoral cancer", - "femoral neuropathy", - "femoral vein thrombophlebitis", - "Ferguson-Smith tumor", - "fetal adenoma", - "fetal akinesia deformation sequence syndrome", - "fetal akinesia deformation sequence syndrome 1", - "fetal akinesia deformation sequence syndrome 2", - "fetal akinesia deformation sequence syndrome 3", - "fetal akinesia deformation sequence syndrome 4", - "fetal alcohol spectrum disorder", - "fetal alcohol syndrome", - "fetal erythroblastosis", - "fetal nicotine spectrum disorder", - "fetal valproate syndrome", - "fetishism", - "FG syndrome", - "fibrillary astrocytoma", - "fibroblastic liposarcoma", - "fibrochondrogenesis", - "fibrodysplasia ossificans progressiva", - "fibroepithelial basal cell carcinoma", - "fibroepithelial polyp of the anus", - "fibroepithelial polyp of urethra", - "fibrogenesis imperfecta ossium", - "fibrolamellar carcinoma", - "fibroma", - "fibromyalgia", - "fibroosseous pseudotumor of digits", - "fibrosarcoma", - "fibrosarcoma of bone", - "fibrosarcomatous osteosarcoma", - "fibrosclerosis of breast", - "fibrous dysplasia", - "fibrous histiocytoma", - "fibrous meningioma", - "fibrous synovial sarcoma", - "fibular collateral ligament bursitis", - "fibular hypoplasia and complex brachydactyly", - "fiedler's myocarditis", - "filamentary keratitis", - "filarial elephantiasis", - "filariasis", - "finger agnosia", - "Finnish type amyloidosis", - "first-degree atrioventricular block", - "fish allergy", - "fissured tongue", - "flat ductal epithelial atypia", - "flat retinoschisis", - "Fleck corneal dystrophy", - "Flinders Island spotted fever", - "Floating-Harbor syndrome", - "flying phobia", - "focal chorioretinitis", - "focal dermal hypoplasia", - "focal dystonia", - "focal embolic glomerulonephritis", - "focal epilepsy", - "focal epithelial hyperplasia", - "focal hand dystonia", - "focal labyrinthitis", - "focal nonepidermolytic palmoplantar keratoderma", - "focal nonepidermolytic palmoplantar keratoderma 1", - "focal nonepidermolytic palmoplantar keratoderma 2", - "focal or diffuse nonepidermolytic palmoplantar keratoderma", - "focal segmental glomerulosclerosis", - "focal segmental glomerulosclerosis 1", - "focal segmental glomerulosclerosis 2", - "focal segmental glomerulosclerosis 5", - "focal segmental glomerulosclerosis 6", - "focal segmental glomerulosclerosis 7", - "focal segmental glomerulosclerosis 8", - "focal segmental glomerulosclerosis 9", - "folic acid deficiency anemia", - "follicular adenoma", - "follicular basal cell carcinoma", - "follicular dendritic cell sarcoma", - "follicular infundibulum tumor", - "follicular lymphoma", - "follicular mucinosis", - "folliculitis", - "food allergy", - "foodborne botulism", - "foramen magnum meningioma", - "form agnosia", - "formaldehyde allergic contact dermatitis", - "Foster-Kennedy syndrome", - "fourth cranial nerve palsy", - "Fox-Fordyce disease", - "fragile X syndrome", - "fragile X-associated tremor/ataxia syndrome", - "Frank-Ter Haar syndrome", - "Fraser syndrome", - "Fraser syndrome 1", - "Fraser syndrome 2", - "Fraser syndrome 3", - "Frasier syndrome", - "Freeman-Sheldon syndrome", - "freemartinism", - "French Canadian Leigh disease", - "Frey syndrome", - "Friedreich ataxia", - "Friedreich ataxia 1", - "Friedreich ataxia 2", - "Froelich syndrome", - "frontal convexity meningioma", - "frontal lobe epilepsy", - "frontal lobe neoplasm", - "frontal sinus cancer", - "frontal sinus inverted papilloma", - "frontal sinus neoplasm", - "frontal sinus Schneiderian papilloma", - "frontal sinus squamous cell carcinoma", - "frontal sinusitis", - "frontometaphyseal dysplasia", - "frontometaphyseal dysplasia 1", - "frontometaphyseal dysplasia 2", - "frontotemporal dementia", - "frozen shoulder", - "fructose-1,6-bisphosphatase deficiency", - "fruit allergy", - "FTDALS1", - "FTDALS2", - "FTDALS3", - "FTDALS4", - "Fuchs' endothelial dystrophy", - "Fuchs' heterochromic uveitis", - "fucosidosis", - "Fuhrmann syndrome", - "Fukuyama congenital muscular dystrophy", - "fumarase deficiency", - "functional colonic disease", - "functional diarrhea", - "functional gastric disease", - "functioning pituitary adenoma", - "functionless pituitary adenoma", - "fundus albipunctatus", - "fundus dystrophy", - "fungal esophagitis", - "fungal gastritis", - "fungal infectious disease", - "fungal meningitis", - "funisitis", - "fusariosis", - "GABA aminotransferase deficiency", - "gait apraxia", - "galactokinase deficiency", - "galactose epimerase deficiency", - "galactosemia", - "galactosialidosis", - "gallamine allergy", - "gallbladder adenocarcinoma", - "gallbladder adenoma", - "gallbladder angiosarcoma", - "gallbladder benign neoplasm", - "gallbladder cancer", - "gallbladder carcinoma", - "gallbladder carcinoma in situ", - "gallbladder disease", - "gallbladder leiomyoma", - "gallbladder leiomyosarcoma", - "gallbladder lipoma", - "gallbladder lymphoma", - "gallbladder melanoma", - "gallbladder mucinous carcinoma", - "gallbladder papillary carcinoma", - "gallbladder papillomatosis", - "gallbladder pleomorphic giant cell adenocarcinoma", - "gallbladder rhabdomyosarcoma", - "gallbladder sarcoma", - "gallbladder signet ring cell adenocarcinoma", - "gallbladder small cell carcinoma", - "gallbladder squamous cell carcinoma", - "Galloway-Mowat syndrome", - "Galloway-Mowat syndrome 2", - "Galloway-Mowat syndrome 3", - "Galloway-Mowat syndrome 4", - "Galloway-Mowat syndrome 5", - "gamma heavy chain disease", - "gamma-amino butyric acid metabolism disorder", - "gamma-glutamyl transpeptidase deficiency", - "Gamstorp-Wohlfart syndrome", - "gangliocytoma", - "ganglioglioma", - "ganglion or cyst of synovium/tendon/bursa", - "ganglioneuroblastoma", - "ganglioneuroma", - "gangliosidosis", - "gas gangrene", - "Gasserian ganglion meningioma", - "gastric adenocarcinoma", - "gastric adenosquamous carcinoma", - "gastric antral vascular ectasia", - "gastric body carcinoma", - "gastric cardia adenocarcinoma", - "gastric cardia carcinoma", - "gastric diffuse adenocarcinoma", - "gastric dilatation", - "gastric fundus cancer", - "gastric fundus carcinoma", - "gastric gastrinoma", - "gastric hemangioma", - "gastric leiomyoma", - "gastric leiomyosarcoma", - "gastric liposarcoma", - "gastric lymphoma", - "gastric mucosal hypertrophy", - "gastric neuroendocrine neoplasm", - "gastric outlet obstruction", - "gastric papillary adenocarcinoma", - "gastric pylorus carcinoma", - "gastric signet ring cell adenocarcinoma", - "gastric small cell carcinoma", - "gastric squamous cell carcinoma", - "gastric teratoma", - "gastric tubular adenocarcinoma", - "gastric ulcer", - "gastrin secretion abnormality", - "gastrinoma", - "gastritis", - "gastroduodenal Crohn's disease", - "gastroduodenitis", - "gastroenteritis", - "gastroesophageal adenocarcinoma", - "gastroesophageal cancer", - "gastroesophageal junction adenocarcinoma", - "gastroesophageal reflux disease", - "gastrointestinal adenoma", - "gastrointestinal allergy", - "gastrointestinal anthrax", - "gastrointestinal carcinoma", - "gastrointestinal lymphoma", - "gastrointestinal neuroendocrine benign tumor", - "gastrointestinal neuroendocrine tumor", - "gastrointestinal stromal tumor", - "gastrointestinal system benign neoplasm", - "gastrointestinal system cancer", - "gastrointestinal system disease", - "gastrointestinal tuberculosis", - "gastrointestinal tularemia", - "gastrojejunal ulcer", - "gastroparesis", - "gastroschisis", - "Gaucher's disease", - "Gaucher's disease perinatal lethal", - "Gaucher's disease type I", - "Gaucher's disease type II", - "Gaucher's disease type III", - "gelatinous drop-like corneal dystrophy", - "geleophysic dysplasia", - "geleophysic dysplasia 1", - "geleophysic dysplasia 2", - "geleophysic dysplasia 3", - "gemistocytic astrocytoma", - "gender identity disorder", - "generalized anxiety disorder", - "generalized atherosclerosis", - "generalized dystonia", - "generalized epilepsy with febrile seizures plus", - "generalized epilepsy with febrile seizures plus 1", - "generalized epilepsy with febrile seizures plus 10", - "generalized epilepsy with febrile seizures plus 2", - "generalized epilepsy with febrile seizures plus 4", - "generalized epilepsy with febrile seizures plus 6", - "generalized epilepsy with febrile seizures plus 7", - "generalized epilepsy with febrile seizures plus 8", - "generalized epilepsy with febrile seizures plus 9", - "genetic disease", - "geniculate ganglionitis", - "genital herpes", - "geographic tongue", - "geotrichosis", - "germ cell and embryonal cancer", - "germ cell benign neoplasm", - "germ cell cancer", - "germinoma", - "geroderma osteodysplasticum", - "Gerstmann syndrome", - "Gerstmann-Straussler-Scheinker syndrome", - "gestational choriocarcinoma", - "gestational diabetes", - "gestational ovarian choriocarcinoma", - "gestational trophoblastic neoplasm", - "gestational uterine corpus choriocarcinoma", - "giant axonal neuropathy 1", - "giant axonal neuropathy 2", - "giant cell glioblastoma", - "giant cell reparative granuloma", - "giant cell tumor", - "giant hemangioma", - "giant papillary conjunctivitis", - "giardiasis", - "Gilbert syndrome", - "Gilles de la Tourette syndrome", - "Gillespie syndrome", - "gingival disease", - "gingival fibromatosis", - "gingival fibromatosis 5", - "gingival hypertrophy", - "gingival overgrowth", - "gingival recession", - "gingivitis", - "Gitelman syndrome", - "glanders", - "glandular cystitis", - "glandular pattern ovarian yolk sac tumor", - "glandular tularemia", - "glandular-alveolar pattern testicular yolk sac tumor", - "glans penis cancer", - "Glanzmann's thrombasthenia", - "glassy cell variant cervical adenosquamous carcinoma", - "glaucoma", - "glaucomatocyclitic crisis", - "glaucomatous atrophy of optic disc", - "glioblastoma classical subtype", - "glioblastoma mesenchymal subtype", - "glioblastoma multiforme", - "glioblastoma neural subtype", - "glioblastoma proneural subtype", - "gliofibroma", - "gliomatosis cerebri", - "gliosarcoma", - "globe disease", - "glomangioma", - "glomangiomatosis", - "glomangiomyoma", - "glomangiosarcoma", - "glomeruloid hemangioma", - "glomerulonephritis", - "glomerulosclerosis", - "glomus tumor", - "glossitis", - "glossopharyngeal motor neuropathy", - "glossopharyngeal nerve disease", - "glossopharyngeal nerve neoplasm", - "glossopharyngeal nerve paralysis", - "glossopharyngeal neuralgia", - "glottis cancer", - "glottis carcinoma", - "glottis neoplasm", - "glottis squamous cell carcinoma", - "glottis verrucous carcinoma", - "glucocorticoid deficiency 1", - "glucocorticoid-induced osteoporosis", - "glucocorticoid-remediable aldosteronism", - "glucose intolerance", - "glucose metabolism disease", - "glucosephosphate dehydrogenase deficiency", - "glutamate formiminotransferase deficiency", - "glutamate-cysteine ligase deficiency", - "glutaric acidemia I", - "gluten allergy", - "glycerol kinase deficiency", - "glycine encephalopathy", - "glycine N-methyltransferase deficiency", - "glycogen metabolism disorder", - "glycogen storage disease", - "glycogen storage disease I", - "glycogen storage disease II", - "glycogen storage disease III", - "glycogen storage disease IV", - "glycogen storage disease IX", - "glycogen storage disease IXa", - "glycogen storage disease IXb", - "glycogen storage disease IXc", - "glycogen storage disease IXd", - "glycogen storage disease V", - "glycogen storage disease VI", - "glycogen storage disease VII", - "glycogen storage disease VIII", - "glycogen storage disease XV", - "glycogen-rich clear cell breast carcinoma", - "glycoproteinosis", - "GM1 gangliosidosis", - "GM1 gangliosidosis type 1", - "GM1 gangliosidosis type 2", - "GM1 gangliosidosis type 3", - "GM2 gangliosidosis", - "GM2 gangliosidosis, AB variant", - "gnathodiaphyseal dysplasia", - "gnathomiasis", - "goat milk allergy", - "goiter", - "Goldberg-Shprintzen syndrome", - "Goldenhar syndrome", - "gonadal disease", - "gonadal dysgenesis", - "gonadoblastoma", - "gonococcal bursitis", - "gonococcal endophthalmia", - "gonococcal iridocyclitis", - "gonococcal keratitis", - "gonococcal seminal vesiculitis", - "gonococcal spondylitis", - "gonococcal synovitis", - "gonorrhea", - "Good syndrome", - "Goodpasture syndrome", - "Gordon Holmes syndrome", - "Gorham's disease", - "gout", - "GRACILE syndrome", - "grade III astrocytoma", - "granular cell carcinoma", - "granular cell leiomyosarcoma", - "granular cell tumor", - "granular corneal dystrophy", - "granular corneal dystrophy 1", - "granular corneal dystrophy 2", - "granuloma annulare", - "granuloma inguinale", - "granulomatosis with polyangiitis", - "granulomatous amebic encephalitis", - "granulomatous angiitis", - "granulomatous dermatitis", - "granulomatous endometritis", - "granulomatous gastritis", - "granulomatous hepatitis", - "granulomatous myositis", - "granulomatous orchitis", - "granulosa cell tumor", - "Graves' disease", - "gray platelet syndrome", - "gray zone lymphoma", - "Greenberg dysplasia", - "Greig cephalopolysyndactyly syndrome", - "GRID2-related spinocerebellar ataxia", - "Griscelli syndrome", - "Griscelli syndrome type 1", - "Griscelli syndrome type 2", - "Griscelli syndrome type 3", - "Grn-related frontotemporal lobar degeneration with Tdp43 inclusions", - "growth hormone secreting pituitary adenoma", - "guanidinoacetate methyltransferase deficiency", - "Guillain-Barre syndrome", - "gum cancer", - "gummatous syphilis", - "Guttmacher syndrome", - "gynatresia", - "gynecomastia", - "gyrate atrophy", - "haemonchiasis", - "haemophilus meningitis", - "Hailey-Hailey disease", - "hair disease", - "hair follicle neoplasm", - "hairy cell leukemia", - "hairy tongue", - "Hajdu-Cheney syndrome", - "Hallermann-Streiff syndrome", - "hallucinogen abuse", - "hallucinogen dependence", - "hand dermatosis", - "hand, foot and mouth disease", - "hand-foot-genital syndrome", - "Hantavirus hemorrhagic fever with renal syndrome", - "hantavirus pulmonary syndrome", - "hard palate cancer", - "Hartnup disease", - "Haverhill fever", - "hawkinsinuria", - "HCL-V", - "head and neck cancer", - "head and neck carcinoma", - "head and neck squamous cell carcinoma", - "heart aneurysm", - "heart cancer", - "heart conduction disease", - "heart disease", - "heart fibrosarcoma", - "heart leiomyosarcoma", - "heart lipoma", - "heart lymphoma", - "heart malignant hemangiopericytoma", - "heart sarcoma", - "heart septal defect", - "heart valve disease", - "heavy chain disease", - "heel spur", - "Heimler syndrome 1", - "Heimler syndrome 2", - "Heinz body anemia", - "HELLP syndrome", - "Helsmoortel-Van Der Aa Syndrome", - "hemangioblastoma", - "hemangioma", - "hemangioma of intra-abdominal structure", - "hemangioma of liver", - "hemangioma of lung", - "hemangioma of orbit", - "hemangioma of peripheral nerve", - "hemangioma of spleen", - "hemangioma of subcutaneous tissue", - "hemangiopericytic tumor", - "hemangiopericytoma", - "hemarthrosis", - "hematocele of tunica vaginalis testis", - "hematologic cancer", - "hematopoietic system disease", - "hemidystonia", - "hemiplegia", - "hemochromatosis", - "hemochromatosis type 1", - "hemochromatosis type 2", - "hemochromatosis type 2A", - "hemochromatosis type 2B", - "hemochromatosis type 3", - "hemochromatosis type 4", - "hemochromatosis type 5", - "hemoglobin C disease", - "hemoglobin D disease", - "hemoglobin E disease", - "hemoglobin H disease", - "hemoglobinopathy", - "hemoglobinuria", - "hemolytic anemia", - "hemolytic-uremic syndrome", - "hemometra", - "hemopericardium", - "hemophagocytic lymphohistiocytosis", - "hemophilia B", - "hemopneumothorax", - "hemorrhagic cystitis", - "hemorrhagic disease", - "hemorrhoid", - "hemosiderosis", - "Hennekam syndrome", - "Henoch-Schoenlein purpura", - "hepatic angiomyolipoma", - "hepatic coma", - "hepatic encephalopathy", - "hepatic flexure cancer", - "hepatic infarction", - "hepatic osteogenic sarcoma", - "hepatic tuberculosis", - "hepatic vascular disease", - "hepatic veno-occlusive disease", - "hepatitis", - "hepatitis A", - "hepatitis B", - "hepatitis C", - "hepatitis D", - "hepatitis E", - "hepatobiliary benign neoplasm", - "hepatobiliary disease", - "hepatobiliary system cancer", - "hepatoblastoma", - "hepatocellular adenoma", - "hepatocellular carcinoma", - "hepatocellular clear cell carcinoma", - "hepatoerythropoietic porphyria", - "hepatoid adenocarcinoma", - "hepatoid pattern ovarian yolk sac tumor", - "hepatoid pattern testicular yolk sac tumor", - "hepatopulmonary syndrome", - "hepatorenal syndrome", - "Her2-receptor negative breast cancer", - "Her2-receptor positive breast cancer", - "hereditary angioedema", - "hereditary arterial and articular multiple calcification syndrome", - "hereditary ataxia", - "hereditary breast ovarian cancer syndrome", - "hereditary choroidal atrophy", - "hereditary conventional renal cell carcinoma", - "hereditary coproporphyria", - "hereditary desmoid disease", - "hereditary elliptocytosis", - "hereditary folate malabsorption", - "hereditary fructose intolerance syndrome", - "hereditary hemorrhagic telangiectasia", - "hereditary hypophosphatemic rickets with hypercalciuria", - "hereditary lymphedema", - "hereditary lymphedema I", - "hereditary lymphedema IA", - "hereditary lymphedema IB", - "hereditary lymphedema IC", - "hereditary lymphedema ID", - "hereditary lymphedema II", - "hereditary mixed polyposis syndrome", - "hereditary mixed polyposis syndrome 1", - "hereditary mixed polyposis syndrome 2", - "hereditary mucosal leukokeratosis", - "hereditary multiple exostoses", - "hereditary neuropathy with liability to pressure palsies", - "hereditary neutrophilia", - "hereditary night blindness", - "hereditary nonpolyposis colorectal cancer type 2", - "hereditary nonpolyposis colorectal cancer type 4", - "hereditary nonpolyposis colorectal cancer type 5", - "hereditary nonpolyposis colorectal cancer type 6", - "hereditary nonpolyposis colorectal cancer type 7", - "hereditary nonpolyposis colorectal cancer type 8", - "hereditary papulotranslucent acrokeratoderma", - "hereditary renal cell carcinoma", - "hereditary retinal dystrophy", - "hereditary sensory and autonomic neuropathy type 1", - "hereditary sensory and autonomic neuropathy type 1A", - "hereditary sensory and autonomic neuropathy type 1C", - "hereditary sensory and autonomic neuropathy type 2", - "hereditary sensory and autonomic neuropathy type 2A", - "hereditary sensory and autonomic neuropathy type 2B", - "hereditary sensory and autonomic neuropathy type 5", - "hereditary sensory and autonomic neuropathy type 6", - "hereditary sensory and autonomic neuropathy type 7", - "hereditary sensory and autonomic neuropathy type 8", - "hereditary sensory neuropathy", - "hereditary sensory neuropathy type 1B", - "hereditary sensory neuropathy type 1D", - "hereditary sensory neuropathy type 1E", - "hereditary sensory neuropathy type 1F", - "hereditary sensory neuropathy type 2C", - "hereditary sensory neuropathy type 4", - "hereditary sensory neuropathy X-linked", - "hereditary spastic paraplegia", - "hereditary spastic paraplegia 10", - "hereditary spastic paraplegia 11", - "hereditary spastic paraplegia 12", - "hereditary spastic paraplegia 13", - "hereditary spastic paraplegia 14", - "hereditary spastic paraplegia 15", - "hereditary spastic paraplegia 16", - "hereditary spastic paraplegia 17", - "hereditary spastic paraplegia 18", - "hereditary spastic paraplegia 19", - "hereditary spastic paraplegia 2", - "hereditary spastic paraplegia 23", - "hereditary spastic paraplegia 24", - "hereditary spastic paraplegia 25", - "hereditary spastic paraplegia 26", - "hereditary spastic paraplegia 27", - "hereditary spastic paraplegia 28", - "hereditary spastic paraplegia 29", - "hereditary spastic paraplegia 30", - "hereditary spastic paraplegia 31", - "hereditary spastic paraplegia 32", - "hereditary spastic paraplegia 33", - "hereditary spastic paraplegia 34", - "hereditary spastic paraplegia 35", - "hereditary spastic paraplegia 36", - "hereditary spastic paraplegia 37", - "hereditary spastic paraplegia 38", - "hereditary spastic paraplegia 39", - "hereditary spastic paraplegia 3A", - "hereditary spastic paraplegia 4", - "hereditary spastic paraplegia 41", - "hereditary spastic paraplegia 42", - "hereditary spastic paraplegia 43", - "hereditary spastic paraplegia 44", - "hereditary spastic paraplegia 45", - "hereditary spastic paraplegia 46", - "hereditary spastic paraplegia 47", - "hereditary spastic paraplegia 48", - "hereditary spastic paraplegia 49", - "hereditary spastic paraplegia 50", - "hereditary spastic paraplegia 51", - "hereditary spastic paraplegia 52", - "hereditary spastic paraplegia 53", - "hereditary spastic paraplegia 54", - "hereditary spastic paraplegia 55", - "hereditary spastic paraplegia 56", - "hereditary spastic paraplegia 57", - "hereditary spastic paraplegia 5A", - "hereditary spastic paraplegia 6", - "hereditary spastic paraplegia 61", - "hereditary spastic paraplegia 62", - "hereditary spastic paraplegia 63", - "hereditary spastic paraplegia 64", - "hereditary spastic paraplegia 7", - "hereditary spastic paraplegia 72", - "hereditary spastic paraplegia 73", - "hereditary spastic paraplegia 74", - "hereditary spastic paraplegia 75", - "hereditary spastic paraplegia 76", - "hereditary spastic paraplegia 77", - "hereditary spastic paraplegia 8", - "hereditary spastic paraplegia 9A", - "hereditary spastic paraplegia 9B", - "hereditary spherocytosis", - "hereditary spherocytosis type 1", - "hereditary spherocytosis type 2", - "hereditary spherocytosis type 3", - "hereditary spherocytosis type 4", - "hereditary spherocytosis type 5", - "hereditary Wilms' tumor", - "Hermansky-Pudlak syndrome", - "Hermansky-Pudlak syndrome 1", - "Hermansky-Pudlak syndrome 2", - "Hermansky-Pudlak syndrome 3", - "Hermansky-Pudlak syndrome 4", - "Hermansky-Pudlak syndrome 5", - "Hermansky-Pudlak syndrome 6", - "Hermansky-Pudlak syndrome 7", - "Hermansky-Pudlak syndrome 8", - "Hermansky-Pudlak syndrome 9", - "hermaphroditism", - "hernia of ovary and fallopian tube", - "heroin dependence", - "herpangina", - "herpes simplex", - "herpes simplex virus keratitis", - "herpes zoster", - "herpes zoster oticus", - "herpetic gastritis", - "herpetic whitlow", - "heterophyiasis", - "hexahydrophthalic anhydride allergic asthma", - "hexamethylene diisocyanate allergic asthma", - "hiatus hernia", - "hidradenitis", - "hidradenitis suppurativa", - "hidradenoma", - "hidrocystoma", - "high molecular weight kininogen deficiency", - "high myopia-sensorineural deafness syndrome", - "high pressure neurological syndrome", - "hilar lung carcinoma", - "hilar lung neoplasm", - "Hirata disease", - "Hirschsprung's disease", - "histidine metabolism disease", - "histidinemia", - "histiocytic and dendritic cell cancer", - "histiocytoid hemangioma", - "histiocytoma", - "histiocytosis", - "histiocytosis-lymphadenopathy plus syndrome", - "histoplasmosis", - "histoplasmosis meningitis", - "histoplasmosis pericarditis", - "histoplasmosis retinitis", - "histrionic personality disorder", - "hobnail hemangioma", - "Hodgkin's granuloma", - "Hodgkin's lymphoma", - "Hodgkin's lymphoma, lymphocytic depletion", - "Hodgkin's lymphoma, lymphocytic-histiocytic predominance", - "Hodgkin's lymphoma, mixed cellularity", - "Hodgkin's lymphoma, nodular sclerosis", - "Hodgkin's paragranuloma", - "hole retinal cyst", - "holocarboxylase synthetase deficiency", - "holoprosencephaly", - "holoprosencephaly 1", - "holoprosencephaly 11", - "holoprosencephaly 2", - "holoprosencephaly 3", - "holoprosencephaly 4", - "holoprosencephaly 5", - "holoprosencephaly 6", - "holoprosencephaly 7", - "holoprosencephaly 8", - "holoprosencephaly 9", - "Holt-Oram syndrome", - "Holzgreve-Wagner-Rehder Syndrome", - "homocarnosinosis", - "homocystinuria", - "hordeolum", - "hordeolum externum", - "hormone producing pituitary cancer", - "horned turban snail allergy", - "Horner's syndrome", - "human granulocytic anaplasmosis", - "human immunodeficiency virus infectious disease", - "human monocytic ehrlichiosis", - "humeroradial synostosis", - "Huntington's disease", - "Huntington's disease-like 1", - "Huntington's disease-like 2", - "hyaline body myopathy", - "hyaline fibromatosis syndrome", - "hydranencephaly", - "hydrarthrosis", - "hydrocele", - "hydrocephalus", - "hydrolethalus syndrome", - "hydrolethalus syndrome 1", - "hydrolethalus syndrome 2", - "hydronephrosis", - "hydrophthalmos", - "hydrops of gallbladder", - "hymenolepiasis", - "hyper IgE recurrent infection syndrome 1", - "hyper IgE recurrent infection syndrome 2", - "hyper IgE recurrent infection syndrome 3", - "hyper IgE recurrent infection syndrome 4", - "hyper IgE syndrome", - "hyper IgM syndrome", - "hyperalphalipoproteinemia 1", - "hyperandrogenism", - "hyperargininemia", - "hypercalcemia", - "hypercalcemic sarcoidosis", - "hypercementosis", - "hyperekplexia", - "hyperekplexia 1", - "hyperekplexia 2", - "hyperekplexia 3", - "hyperekplexia 4", - "hypereosinophilic syndrome", - "hyperferritinemia-cataract syndrome", - "hyperglobulinemic purpura", - "hyperglycemia", - "hyperhomocysteinemia", - "hyperimmunoglobulin syndrome", - "hyperinsulinemic hypoglycemia", - "hyperinsulinism", - "hyperkalemic periodic paralysis", - "hyperlipoproteinemia type III", - "hyperlipoproteinemia type IV", - "hyperlipoproteinemia type V", - "hyperlucent lung", - "hyperlysinemia", - "hypermanganesemia with dystonia", - "hypermanganesemia with dystonia 1", - "hypermanganesemia with dystonia 2", - "hypermethioninemia", - "hypermethioninemia due to adenosine kinase deficiency", - "hypermethioninemia with deficiency of S-adenosylhomocysteine hydrolase", - "hypermobility of coccyx", - "hypermobility syndrome", - "hyperopia", - "hyperostosis", - "hyperparathyroidism", - "hyperphosphatemia", - "hyperphosphatemic familial tumoral calcinosis", - "hyperpigmentation of eyelid", - "hyperpituitarism", - "hyperprolactinemia", - "hyperprolinemia", - "hyperprolinemia type 1", - "hyperprolinemia type 2", - "hypersecretion glaucoma", - "hypersensitivity reaction disease", - "hypersensitivity reaction type III disease", - "hypersensitivity reaction type IV disease", - "hypersensitivity vasculitis", - "hypersplenism", - "hypertelorism, microtia, facial clefting syndrome", - "hypertension", - "hypertension and brachydactyly syndrome", - "hypertensive encephalopathy", - "hypertensive heart disease", - "hypertensive retinopathy", - "hyperthyroidism", - "hyperthyroxinemia", - "hypertrichosis", - "hypertrichosis of eyelid", - "hypertrichotic osteochondrodysplasia Cantu type", - "hypertrophic cardiomyopathy", - "hypertrophic cardiomyopathy 1", - "hypertrophic cardiomyopathy 10", - "hypertrophic cardiomyopathy 11", - "hypertrophic cardiomyopathy 12", - "hypertrophic cardiomyopathy 13", - "hypertrophic cardiomyopathy 14", - "hypertrophic cardiomyopathy 15", - "hypertrophic cardiomyopathy 16", - "hypertrophic cardiomyopathy 17", - "hypertrophic cardiomyopathy 18", - "hypertrophic cardiomyopathy 2", - "hypertrophic cardiomyopathy 20", - "hypertrophic cardiomyopathy 21", - "hypertrophic cardiomyopathy 25", - "hypertrophic cardiomyopathy 26", - "hypertrophic cardiomyopathy 3", - "hypertrophic cardiomyopathy 4", - "hypertrophic cardiomyopathy 6", - "hypertrophic cardiomyopathy 7", - "hypertrophic cardiomyopathy 8", - "hypertrophic cardiomyopathy 9", - "hypertrophic elongation of cervix", - "hypertrophic pyloric stenosis", - "hypertrophy of breast", - "hypertrophy of tongue papillae", - "hypertropia", - "hyperuricemia", - "hypervitaminosis A", - "hypervitaminosis D", - "hypoactive sexual desire disorder", - "hypobetalipoproteinemia", - "hypochondriasis", - "hypochondrogenesis", - "hypochondroplasia", - "hypochromic anemia", - "hypochromic microcytic anemia", - "hypodermyiasis", - "hypoglossal nerve disease", - "hypoglossal nerve neoplasm", - "hypoglycemia", - "hypoglycemic coma", - "hypogonadism", - "hypogonadotropic hypogonadism", - "hypogonadotropic hypogonadism 1 with or without anosmia", - "hypogonadotropic hypogonadism 10 with or without anosmia", - "hypogonadotropic hypogonadism 11 with or without anosmia", - "hypogonadotropic hypogonadism 12 with or without anosmia", - "hypogonadotropic hypogonadism 13 with or without anosmia", - "hypogonadotropic hypogonadism 14 with or without anosmia", - "hypogonadotropic hypogonadism 15 with or without anosmia", - "hypogonadotropic hypogonadism 16 with or without anosmia", - "hypogonadotropic hypogonadism 17 with or without anosmia", - "hypogonadotropic hypogonadism 18 with or without anosmia", - "hypogonadotropic hypogonadism 19 with or without anosmia", - "hypogonadotropic hypogonadism 2 with or without anosmia", - "hypogonadotropic hypogonadism 20 with or without anosmia", - "hypogonadotropic hypogonadism 21 with or without anosmia", - "hypogonadotropic hypogonadism 22 with or without anosmia", - "hypogonadotropic hypogonadism 23 with or without anosmia", - "hypogonadotropic hypogonadism 24 without anosmia", - "hypogonadotropic hypogonadism 3 with or without anosmia", - "hypogonadotropic hypogonadism 4 with or without anosmia", - "hypogonadotropic hypogonadism 5 with or without anosmia", - "hypogonadotropic hypogonadism 6 with or without anosmia", - "hypogonadotropic hypogonadism 7 with or without anosmia", - "hypogonadotropic hypogonadism 8 with or without anosmia", - "hypogonadotropic hypogonadism 9 with or without anosmia", - "hypohidrosis", - "hypohidrotic ectodermal dysplasia", - "hypokalemia", - "hypokalemic periodic paralysis", - "hypolipoproteinemia", - "hypomelanosis of Ito", - "hypomyelinating leukodystrophy", - "hypomyelinating leukodystrophy 10", - "hypomyelinating leukodystrophy 11", - "hypomyelinating leukodystrophy 12", - "hypomyelinating leukodystrophy 13", - "hypomyelinating leukodystrophy 14", - "hypomyelinating leukodystrophy 2", - "hypomyelinating leukodystrophy 3", - "hypomyelinating leukodystrophy 4", - "hypomyelinating leukodystrophy 5", - "hypomyelinating leukodystrophy 6", - "hypomyelinating leukodystrophy 7 with or without oligodontia and-or hypogonadotropic hypogonadism", - "hypomyelinating leukodystrophy 8 with or without oligodontia and-or hypogonadotropic hypogonadism", - "hypomyelinating leukodystrophy 9", - "hypomyelinating leukoencephalopathy", - "hypoparathyroidism", - "hypoparathyroidism-deafness-renal disease syndrome", - "hypoparathyroidism-retardation-dysmorphism syndrome", - "hypopharynx cancer", - "hypophosphatasia", - "hypophosphatemia", - "hypophosphatemic nephrolithiasis/osteoporosis", - "hypophosphatemic nephrolithiasis/osteoporosis 1", - "hypophosphatemic nephrolithiasis/osteoporosis 2", - "hypopigmentation of eyelid", - "hypopituitarism", - "hypoplastic left heart syndrome", - "hypoplastic or aplastic tibia with polydactyly", - "hypoplastic right heart syndrome", - "hypopyon", - "hypopyon ulcer", - "hypospadias", - "hypothalamic disease", - "hypothalamic neoplasm", - "hypothyroidism", - "hypotonia-cystinuria syndrome", - "hypotrichosis", - "hypotrichosis 1", - "hypotrichosis 10", - "hypotrichosis 11", - "hypotrichosis 12", - "hypotrichosis 13", - "hypotrichosis 14", - "hypotrichosis 2", - "hypotrichosis 3", - "hypotrichosis 4", - "hypotrichosis 5", - "hypotrichosis 6", - "hypotrichosis 7", - "hypotrichosis 8", - "hypotrichosis 9", - "hypotrichosis of eyelid", - "hypotrichosis-lymphedema-telangiectasia syndrome", - "hypotrichosis-lymphedema-telangiectasia-renal defect syndrome", - "hypotropia", - "ichthyosis", - "ichthyosis vulgaris", - "ideomotor apraxia", - "idiopathic CD4-positive T-lymphocytopenia", - "idiopathic corneal edema", - "idiopathic generalized epilepsy", - "idiopathic generalized epilepsy 10", - "idiopathic generalized epilepsy 11", - "idiopathic generalized epilepsy 12", - "idiopathic generalized epilepsy 13", - "idiopathic generalized epilepsy 14", - "idiopathic generalized epilepsy 15", - "idiopathic generalized epilepsy 2", - "idiopathic generalized epilepsy 3", - "idiopathic generalized epilepsy 4", - "idiopathic generalized epilepsy 5", - "idiopathic generalized epilepsy 7", - "idiopathic generalized epilepsy 8", - "idiopathic generalized epilepsy 9", - "idiopathic interstitial pneumonia", - "idiopathic juvenile osteoporosis", - "idiopathic peripheral autonomic neuropathy", - "idiopathic progressive polyneuropathy", - "idiopathic pulmonary fibrosis", - "idiopathic scoliosis", - "IgA glomerulonephritis", - "IgG4-related disease", - "IGSF1 deficiency syndrome", - "ileal neoplasm", - "ileitis", - "ileocolitis", - "ileum cancer", - "ileus", - "iliac vein thrombophlebitis", - "IMAGe syndrome", - "immature cataract", - "immature teratoma of ovary", - "immune dysregulation-polyendocrinopathy-enteropathy-X-linked syndrome", - "immune system cancer", - "immune system disease", - "immune system organ benign neoplasm", - "immune-complex glomerulonephritis", - "immunodeficiency with hyper IgM type 3", - "immunodeficiency with hyper IgM type 5", - "immunodeficiency with hyper-IgM type 2", - "immunodeficiency with hyper-IgM type 4", - "immunodeficiency-centromeric instability-facial anomalies syndrome", - "immunodeficiency-centromeric instability-facial anomalies syndrome 1", - "immunodeficiency-centromeric instability-facial anomalies syndrome 2", - "immunodeficiency-centromeric instability-facial anomalies syndrome 3", - "immunodeficiency-centromeric instability-facial anomalies syndrome 4", - "immunoglobulin alpha deficiency", - "immunoglobulin beta deficiency", - "imperforate anus", - "impetigo", - "impetigo herpetiformis", - "impotence", - "impulse control disorder", - "in situ carcinoma", - "inappropriate ADH syndrome", - "inclusion body myopathy with early-onset Paget disease of bone with or without frontotemporal dementia 1", - "inclusion body myopathy with early-onset Paget disease of bone with or without frontotemporal dementia 2", - "inclusion body myopathy with early-onset Paget disease of bone with or without frontotemporal dementia 3", - "inclusion body myopathy with Paget disease of bone and frontotemporal dementia", - "inclusion body myositis", - "inclusion conjunctivitis", - "inclusion-cell disease", - "indeterminate leprosy", - "Indian plum allergy", - "Indian prawn allergy", - "Indian tick typhus", - "indolent myeloma", - "indolent systemic mastocytosis", - "infancy electroclinical syndrome", - "infant botulism", - "infant gynecomastia", - "infantile cerebellar-retinal degeneration", - "infantile cerebral and cerebellar atrophy with postnatal progressive microcephaly", - "infantile histiocytoid cardiomyopathy", - "infantile hypertrophic cardiomyopathy", - "infantile hypophosphatasia", - "infantile myofibromatosis", - "infantile or early childhood epileptic encephalopathy 1", - "infantile or early childhood epileptic encephalopathy 2", - "infantile Refsum disease", - "infantile-onset distal myopathy", - "infected hydrocele", - "infectious anterior uveitis", - "infectious mononucleosis", - "infective endocarditis", - "infective urethral stricture", - "inferior myocardial infarction", - "inferolateral myocardial infarct", - "infertility", - "infertility due to extratesticular cause", - "infiltrating angiolipoma", - "infiltrating bladder lymphoepithelioma-like carcinoma", - "infiltrating bladder urothelial carcinoma sarcomatoid variant", - "infiltrating lipoma", - "infiltrating nipple syringomatous adenoma", - "infiltrating renal pelvis transitional cell carcinoma", - "infiltrating ureter transitional cell carcinoma", - "infiltrative basal cell carcinoma", - "inflamed seborrheic keratosis", - "inflammatory and toxic neuropathy", - "inflammatory bowel disease", - "inflammatory bowel disease 1", - "inflammatory bowel disease 10", - "inflammatory bowel disease 11", - "inflammatory bowel disease 12", - "inflammatory bowel disease 13", - "inflammatory bowel disease 14", - "inflammatory bowel disease 15", - "inflammatory bowel disease 16", - "inflammatory bowel disease 17", - "inflammatory bowel disease 18", - "inflammatory bowel disease 19", - "inflammatory bowel disease 2", - "inflammatory bowel disease 20", - "inflammatory bowel disease 21", - "inflammatory bowel disease 22", - "inflammatory bowel disease 23", - "inflammatory bowel disease 24", - "inflammatory bowel disease 25", - "inflammatory bowel disease 26", - "inflammatory bowel disease 27", - "inflammatory bowel disease 28", - "inflammatory bowel disease 3", - "inflammatory bowel disease 4", - "inflammatory bowel disease 5", - "inflammatory bowel disease 6", - "inflammatory bowel disease 7", - "inflammatory bowel disease 8", - "inflammatory bowel disease 9", - "inflammatory breast carcinoma", - "inflammatory diarrhea", - "inflammatory leiomyosarcoma", - "inflammatory liposarcoma", - "inflammatory myofibroblastic tumor", - "inflammatory spondylopathy", - "influenza", - "infratentorial cancer", - "infundibulocystic basal cell carcinoma", - "inguinal hernia", - "inhalation anthrax", - "inherited blood coagulation disease", - "inherited metabolic disorder", - "inhibited female orgasm", - "inhibited male orgasm", - "inner ear cancer", - "inner ear disease", - "insulinoma", - "integrative agnosia", - "integumentary system benign neoplasm", - "integumentary system cancer", - "integumentary system disease", - "intellectual developmental disorder with short stature and behavioral abnormalities", - "intellectual disability", - "intellectual disability-severe speech delay-mild dysmorphism syndrome", - "interdigitating dendritic cell sarcoma", - "interleukin-7 receptor alpha deficiency", - "intermediate cell type choroid melanoma", - "intermediate cell type ciliary body melanoma", - "intermediate coronary syndrome", - "intermediate malignant teratoma", - "intermediate spinal muscular atrophy", - "intermediate uveitis", - "intermittent claudication", - "intermittent explosive disorder", - "intermittent proptosis", - "intermittent squint", - "intermixed schwannian stroma-rich ganglioneuroblastoma", - "internal auditory canal lipoma", - "internal auditory canal meningioma", - "internal hemorrhoid", - "internal hordeolum", - "internal pathological resorption", - "internuclear ophthalmoplegia", - "interstitial cystitis", - "interstitial emphysema", - "interstitial keratitis", - "interstitial lung disease", - "interstitial myocarditis", - "interstitial nephritis", - "interval angle-closure glaucoma", - "intestinal atresia", - "intestinal benign neoplasm", - "intestinal botulism", - "intestinal cancer", - "intestinal disaccharidase deficiency", - "intestinal disease", - "intestinal hypomagnesemia 1", - "intestinal impaction", - "intestinal infectious disease", - "intestinal neuroendocrine benign tumor", - "intestinal obstruction", - "intestinal perforation", - "intestinal pseudo-obstruction", - "intestinal schistosomiasis", - "intestinal tuberculosis", - "intestinal variant cervical mucinous adenocarcinoma", - "intestinal volvulus", - "intestine carcinoma in situ", - "intra-abdominal lymph node mast cell malignancy", - "intracerebral cystic meningioma", - "intracortical osteogenic sarcoma", - "intracranial abscess", - "intracranial aneurysm", - "intracranial arterial disease", - "intracranial arteriosclerosis", - "intracranial berry aneurysm", - "intracranial cavernous angioma", - "intracranial chondrosarcoma", - "intracranial embolism", - "intracranial hypertension", - "intracranial hypotension", - "intracranial liposarcoma", - "intracranial primitive neuroectodermal tumor", - "intracranial sinus thrombosis", - "intracranial structure hemangioma", - "intracranial thrombosis", - "intracranial vasospasm", - "intracystic papillary adenoma", - "intraductal breast myoepitheliosis", - "intraductal breast neoplasm", - "intraductal papillary breast neoplasm", - "intraductal papilloma", - "intrahepatic bile duct adenoma", - "intrahepatic bile duct cystadenoma", - "intrahepatic biliary papillomatosis", - "intrahepatic cholangiocarcinoma", - "intrahepatic cholestasis", - "intrahepatic cholestasis of pregnancy", - "intrahepatic cholestasis of pregnancy 1", - "intrahepatic cholestasis of pregnancy 3", - "intrahepatic gall duct cancer", - "intramuscular hemangioma", - "intraneural perineurioma", - "intraocular lymphoma", - "intraocular mixed cell type melanoma", - "intraocular retinoblastoma", - "intraorbital meningioma", - "intrapelvic lymph node leukemic reticuloendotheliosis", - "intratubular embryonal carcinoma", - "intravascular angioleiomyoma", - "intravascular fasciitis", - "intravenous leiomyomatosis", - "intraventricular meningioma", - "intrinsic asthma", - "intrinsic cardiomyopathy", - "intussusception", - "invasive aspergillosis", - "invasive bladder transitional cell carcinoma", - "invasive ductal carcinoma", - "invasive lobular carcinoma", - "invasive malignant thymoma", - "invasive tubular breast carcinoma", - "inverted follicular keratosis", - "inverted papilloma", - "inverted transitional papilloma", - "iodine hypothyroidism", - "iridocyclitis", - "iridogoniodysgenesis syndrome", - "iris cancer", - "iris disease", - "iris mixed cell melanoma", - "iris spindle cell melanoma", - "iritis", - "iron deficiency anemia", - "iron metabolism disease", - "irregular astigmatism", - "irritable bowel syndrome", - "irritant dermatitis", - "ischemia", - "ischemic bone disease", - "ischemic colitis", - "ischemic fasciitis", - "ischemic neuropathy", - "ischiocoxopodopatellar syndrome", - "islet cell tumor", - "isocyanates allergic asthma", - "isolated anhidrosis with normal sweat glands", - "isolated cleft palate", - "isolated cryptophthalmia", - "isolated ectopia lentis", - "isolated elevated serum creatine phosphokinase levels", - "isolated growth hormone deficiency", - "isolated growth hormone deficiency type IA", - "isolated growth hormone deficiency type IB", - "isolated growth hormone deficiency type II", - "isolated growth hormone deficiency type III", - "isolated hyperchlorhidrosis", - "isolated microphthalmia", - "isolated microphthalmia 1", - "isolated microphthalmia 2", - "isolated microphthalmia 3", - "isolated microphthalmia 4", - "isolated microphthalmia 5", - "isolated microphthalmia 6", - "isolated microphthalmia 7", - "isolated microphthalmia 8", - "isolated sulfite oxidase deficiency", - "isoniazide allergy", - "isovaleric acidemia", - "Israeli tick typhus", - "isthmus cancer", - "ITM2B-related cerebral amyloid angiopathy 1", - "ITM2B-related cerebral amyloid angiopathy 2", - "IVIC syndrome", - "Jaccoud's syndrome", - "Jackson-Weiss syndrome", - "Jacobsen Syndrome", - "Jalili syndrome", - "Jansen's metaphyseal chondrodysplasia", - "janus kinase-3 deficiency", - "Japanese encephalitis", - "Japanese spotted fever", - "jaw cancer", - "jaw-winking syndrome", - "jejunal adenocarcinoma", - "jejunal cancer", - "jejunal neoplasm", - "jejunal somatostatinoma", - "jejunoileitis", - "Jervell-Lange Nielsen syndrome", - "Jewett-Marshall bladder cancer", - "JMP syndrome", - "Johanson-Blizzard syndrome", - "Joubert syndrome", - "Joubert syndrome 1", - "Joubert syndrome 10", - "Joubert syndrome 13", - "Joubert syndrome 14", - "Joubert syndrome 15", - "Joubert syndrome 16", - "Joubert syndrome 17", - "Joubert syndrome 18", - "Joubert syndrome 2", - "Joubert syndrome 20", - "Joubert syndrome 21", - "Joubert syndrome 22", - "Joubert syndrome 23", - "Joubert syndrome 24", - "Joubert syndrome 25", - "Joubert syndrome 26", - "Joubert syndrome 27", - "Joubert syndrome 28", - "Joubert syndrome 29", - "Joubert syndrome 3", - "Joubert syndrome 30", - "Joubert syndrome 31", - "Joubert syndrome 32", - "Joubert syndrome 33", - "Joubert syndrome 4", - "Joubert syndrome 5", - "Joubert syndrome 6", - "Joubert syndrome 7", - "Joubert syndrome 8", - "Joubert syndrome 9", - "Joubert syndrome with orofaciodigital defect", - "jugular foramen meningioma", - "junctional epidermolysis bullosa", - "junctional epidermolysis bullosa Herlitz type", - "junctional epidermolysis bullosa non-Herlitz type", - "junctional epidermolysis bullosa with pyloric atresia", - "juvenile absence epilepsy", - "juvenile absence epilepsy 1", - "juvenile amyotrophic lateral sclerosis with dementia", - "juvenile ankylosing spondylitis", - "juvenile astrocytoma", - "juvenile dermatitis herpetiformis", - "juvenile glaucoma", - "juvenile myelomonocytic leukemia", - "juvenile myoclonic epilepsy", - "juvenile myoclonic epilepsy 10", - "juvenile myoclonic epilepsy 3", - "juvenile myoclonic epilepsy 4", - "juvenile myoclonic epilepsy 9", - "juvenile pilocytic astrocytoma", - "juvenile polyposis syndrome", - "juvenile polyposis-hereditary hemorrhagic telangiectasia syndrome", - "juvenile rheumatoid arthritis", - "juvenile spinal muscular atrophy", - "juvenile type testicular granulosa cell tumor", - "juvenile xanthogranuloma", - "juvenile-onset Parkinson's disease", - "juxtacortical chondroma", - "juxtacortical chondrosarcoma", - "juxtacortical osteosarcoma", - "Kabuki syndrome", - "Kagami-Ogata syndrome", - "Kahrizi syndrome", - "Kallmann syndrome", - "kaolin pneumoconiosis", - "Kaposi's sarcoma", - "Kartagener syndrome", - "karyomegalic interstitial nephritis", - "Kaufman oculocerebrofacial syndrome", - "Kawasaki disease", - "KBG syndrome", - "Kearns-Sayre syndrome", - "Kennedy's disease", - "keratinizing squamous cell carcinoma", - "keratitis", - "keratoacanthoma", - "keratoconjunctivitis", - "keratoconjunctivitis sicca", - "keratoconus", - "keratomalacia", - "keratopathy", - "keratosis", - "keratosis follicularis", - "kernicterus", - "kernicterus due to isoimmunization", - "Keshan disease", - "ketoprofen photoallergic dermatitis", - "kidney angiomyolipoma", - "kidney benign neoplasm", - "kidney cancer", - "kidney carcinoma in situ", - "kidney clear cell sarcoma", - "kidney cortex disease", - "kidney cortex necrosis", - "kidney disease", - "kidney failure", - "kidney fibrosarcoma", - "kidney hemangiopericytoma", - "kidney hypertrophy", - "kidney leiomyosarcoma", - "kidney lipoma", - "kidney liposarcoma", - "kidney osteogenic sarcoma", - "kidney papillary necrosis", - "kidney pelvis papillary carcinoma", - "kidney pelvis sarcomatoid transitional cell carcinoma", - "kidney rhabdoid cancer", - "kidney sarcoma", - "Kimura disease", - "Kindler syndrome", - "Klatskin's tumor", - "Klebsiella pneumonia", - "Kleefstra syndrome", - "Kleefstra syndrome 1", - "Kleefstra syndrome 2", - "Kleine-Levin syndrome", - "kleptomania", - "Klinefelter's syndrome", - "Klippel-Feil syndrome", - "Klippel-Feil syndrome 1", - "Klippel-Feil syndrome 2", - "Klippel-Feil syndrome 3", - "Klippel-Feil syndrome 4", - "Klippel-Trenaunay syndrome", - "Kluver-Bucy syndrome", - "Kniest dysplasia", - "Kohler's disease", - "Kohlschutter-Tonz syndrome", - "Koolen de Vries syndrome", - "Korean hemorrhagic fever", - "Krabbe disease", - "Krukenberg carcinoma", - "Kufor-Rakeb syndrome", - "Kuhnt-Junius degeneration", - "Kummell's disease", - "Kunjin encephalitis", - "kuru", - "kwashiorkor", - "Kyasanur forest disease", - "kyphoscoliotic heart disease", - "L-2-hydroxyglutaric aciduria", - "L-cell glucagon-like peptide producing tumor", - "La Crosse encephalitis", - "labia majora carcinoma", - "labia minora cancer", - "labia minora carcinoma", - "labium majus cancer", - "labyrinthine bilateral reactive loss", - "labyrinthine dysfunction", - "labyrinthine unilateral reactive loss", - "labyrinthitis", - "lacrimal apparatus disease", - "lacrimal duct cancer", - "lacrimal duct obstruction", - "lacrimal gland adenocarcinoma", - "lacrimal gland adenoid cystic carcinoma", - "lacrimal gland cancer", - "lacrimal gland carcinoma", - "lacrimal gland mucoepidermoid carcinoma", - "lacrimal gland squamous cell carcinoma", - "lacrimal passage granuloma", - "lacrimal system cancer", - "lactic acidosis", - "lactocele", - "lactose intolerance", - "LADD syndrome", - "Lafora disease", - "lagophthalmos", - "lambda 5 deficiency", - "Lambert-Eaton myasthenic syndrome", - "Landau-Kleffner syndrome", - "Langerhans cell sarcoma", - "Langerhans-cell histiocytosis", - "language disorder", - "large bowel leiomyoma", - "large cell acanthoma", - "large cell carcinoma", - "large cell carcinoma with rhabdoid phenotype", - "large cell keratinizing variant squamous cell breast carcinoma", - "large cell medulloblastoma", - "large cell neuroendocrine carcinoma", - "large congenital melanocytic nevus", - "large intestine adenocarcinoma", - "large intestine adenoma", - "large intestine cancer", - "large intestine lipoma", - "Laron syndrome", - "Larsen syndrome", - "Larsen-like syndrome B3GAT3 type", - "laryngeal adenoid cystic carcinoma", - "laryngeal benign neoplasm", - "laryngeal carcinoma", - "laryngeal cartilage cancer", - "laryngeal disease", - "laryngeal mucoepidermoid carcinoma", - "laryngeal neuroendocrine tumor", - "laryngeal small cell carcinoma", - "laryngeal squamous cell carcinoma", - "laryngeal tuberculosis", - "laryngitis", - "laryngostenosis", - "laryngotracheitis", - "larynx cancer", - "larynx carcinoma in situ", - "larynx leiomyoma", - "larynx leiomyosarcoma", - "larynx liposarcoma", - "larynx sarcoma", - "larynx squamous papilloma", - "larynx verrucous carcinoma", - "Lassa fever", - "late congenital syphilis", - "late onset Parkinson's disease", - "late yaws", - "late-adult onset retinitis pigmentosa", - "late-onset retinal degeneration", - "latent syphilis", - "lateral cystocele", - "lateral displacement of eye", - "lateral medullary syndrome", - "lateral meningocele syndrome", - "lateral myocardial infarction", - "lateral sclerosis", - "lateral sinus thrombosis", - "lateral ventricle meningioma", - "latex allergy", - "lattice corneal dystrophy", - "Laurence-Moon syndrome", - "Laurin-Sandrow syndrome", - "learning disability", - "Leber congenital amaurosis", - "Leber congenital amaurosis 1", - "Leber congenital amaurosis 10", - "Leber congenital amaurosis 11", - "Leber congenital amaurosis 12", - "Leber congenital amaurosis 13", - "Leber congenital amaurosis 14", - "Leber congenital amaurosis 15", - "Leber congenital amaurosis 16", - "Leber congenital amaurosis 17", - "Leber congenital amaurosis 2", - "Leber congenital amaurosis 3", - "Leber congenital amaurosis 4", - "Leber congenital amaurosis 5", - "Leber congenital amaurosis 6", - "Leber congenital amaurosis 7", - "Leber congenital amaurosis 8", - "Leber congenital amaurosis 9", - "Leber hereditary optic neuropathy", - "Leber hereditary optic neuropathy and dystonia", - "Leber hereditary optic neuropathy with demyelinating disease of CNS", - "Leber plus disease", - "leech infestation", - "left bundle branch hemiblock", - "left ventricular noncompaction", - "leg dermatosis", - "Legg-Calve-Perthes disease", - "legionellosis", - "Legionnaires' disease", - "legume allergy", - "Leigh disease", - "leiomyoma", - "leiomyoma cutis", - "leiomyomatosis", - "leiomyosarcoma", - "leishmaniasis", - "Lemierre's syndrome", - "Lennox-Gastaut syndrome", - "lens disease", - "lens subluxation", - "lens-induced iridocyclitis", - "Lenz-Majewski hyperostotic dwarfism", - "LEOPARD syndrome", - "LEOPARD syndrome 1", - "LEOPARD syndrome 2", - "LEOPARD syndrome 3", - "lepromatous leprosy", - "leprosy", - "leptomeninges sarcoma", - "leptospirosis", - "Leri-Weill dyschondrosteosis", - "Lesch-Nyhan syndrome", - "lesion of sciatic nerve", - "lethal congenital contracture syndrome", - "lethal congenital contracture syndrome 1", - "lethal congenital contracture syndrome 2", - "lethal congenital contracture syndrome 3", - "lethal congenital contracture syndrome 4", - "lethal congenital glycogen storage disease of heart", - "lethal midline granuloma", - "lethal restrictive dermopathy", - "leukemia", - "leukocoria", - "leukocyte adhesion deficiency", - "leukocyte adhesion deficiency 1", - "leukocyte adhesion deficiency 2", - "leukocyte adhesion deficiency 3", - "leukocyte disease", - "leukodystrophy", - "leukoencephalopathy with vanishing white matter", - "leukopenia", - "leukoplakia of penis", - "leukoplakia of vagina", - "leukorrhea", - "leukostasis", - "Lewy body dementia", - "Leydig cell tumor", - "Li-Fraumeni syndrome", - "Li-Fraumeni syndrome 1", - "Li-Fraumeni syndrome 2", - "lice infestation", - "lichen disease", - "lichen nitidus", - "lichen planus", - "Liddle syndrome", - "lidocaine allergy", - "limb ischemia", - "limb-girdle muscular dystrophy", - "limited scleroderma", - "linear nevus sebaceous syndrome", - "lingual goiter", - "lingual-facial-buccal dyskinesia", - "linitis plastica", - "lip cancer", - "lip carcinoma in situ", - "lip disease", - "lipid metabolism disorder", - "lipid pneumonia", - "lipid storage disease", - "lipid-cell variant infiltrating bladder urothelial carcinoma", - "lipid-rich breast carcinoma", - "lipid-rich carcinoma", - "lipoadenoma", - "lipoatrophic diabetes mellitus", - "lipodystrophy", - "lipoid nephrosis", - "lipoid proteinosis", - "lipoma", - "lipoma of colon", - "lipoma of spermatic cord", - "lipoma of the rectum", - "lipomatosis", - "lipomatous cancer", - "liposarcoma", - "liposarcoma of bone", - "liposarcoma of the ovary", - "Lisch epithelial corneal dystrophy", - "lissencephaly", - "Listeria meningitis", - "listeriosis", - "Littre gland carcinoma", - "livedoid vasculitis", - "liver angiosarcoma", - "liver benign neoplasm", - "liver cancer", - "liver carcinoma", - "liver carcinoma in situ", - "liver cirrhosis", - "liver disease", - "liver fibroma", - "liver fibrosarcoma", - "liver inflammatory pseudotumor", - "liver leiomyoma", - "liver leiomyosarcoma", - "liver lipoma", - "liver lymphoma", - "liver rhabdomyosarcoma", - "liver sarcoma", - "lobomycosis", - "lobular neoplasia", - "localized anterior staphyloma", - "localized chondrosarcoma", - "localized osteosarcoma", - "localized pulmonary fibrosis", - "localized scleroderma", - "locked-in syndrome", - "Loeffler endocarditis", - "Loeffler syndrome", - "Loeys-Dietz syndrome", - "Loeys-Dietz syndrome 1", - "Loeys-Dietz syndrome 2", - "Loeys-Dietz syndrome 3", - "Loeys-Dietz syndrome 4", - "Loeys-Dietz syndrome 5", - "loiasis", - "long bone adamantinoma", - "long bones of lower limb cancer", - "long QT syndrome", - "long QT syndrome 1", - "long QT syndrome 10", - "long QT syndrome 11", - "long QT syndrome 12", - "long QT syndrome 13", - "long QT syndrome 14", - "long QT syndrome 15", - "long QT syndrome 2", - "long QT syndrome 3", - "long QT syndrome 4", - "long QT syndrome 5", - "long QT syndrome 6", - "long QT syndrome 9", - "loose anagen hair syndrome", - "louping ill", - "louse-borne relapsing fever", - "low compliance bladder", - "low implantation of placenta", - "low tension glaucoma", - "lower clivus meningioma", - "lower gum cancer", - "lower lip cancer", - "lower respiratory tract disease", - "lower urinary tract calculus", - "Lown-Ganong-Levine syndrome", - "Ludwig's angina", - "lujo hemorrhagic fever", - "lumbar plexus neoplasm", - "lumbar spinal canal and spinal cord meningioma", - "lumbosacral lipoma", - "lumbosacral plexus lesion", - "luminal breast carcinoma", - "lung abscess", - "lung acinar adenocarcinoma", - "lung adenocarcinoma", - "lung adenoid cystic carcinoma", - "lung adenoma", - "lung benign neoplasm", - "lung cancer", - "lung carcinoma", - "lung carcinoma in situ", - "lung clear cell carcinoma", - "lung clear cell-sugar-tumor", - "lung combined large cell neuroendocrine carcinoma", - "lung combined type small cell adenocarcinoma", - "lung combined type small cell carcinoma", - "lung disease", - "lung giant cell carcinoma", - "lung hilum cancer", - "lung large cell carcinoma", - "lung leiomyoma", - "lung leiomyosarcoma", - "lung lymphoma", - "lung meningioma", - "lung mixed small cell and squamous cell carcinoma", - "lung mucinous cystadenocarcinoma", - "lung mucoepidermoid carcinoma", - "lung non-small cell carcinoma", - "lung non-squamous non-small cell carcinoma", - "lung oat cell carcinoma", - "lung occult adenocarcinoma", - "lung occult large cell carcinoma", - "lung occult small cell carcinoma", - "lung occult squamous cell carcinoma", - "lung papillary adenocarcinoma", - "lung sarcoma", - "lung small cell carcinoma", - "lung squamous cell carcinoma", - "lung superior sulcus carcinoma", - "lupus erythematosus", - "lupus nephritis", - "Lutembacher's syndrome", - "luteoma", - "luxation of globe", - "Lyme disease", - "lymph node adenoid cystic carcinoma", - "lymph node benign neoplasm", - "lymph node cancer", - "lymph node carcinoma", - "lymph node disease", - "lymph node palisaded myofibroblastoma", - "lymph node tuberculosis", - "lymphadenitis", - "lymphangioleiomyomatosis", - "lymphangioma", - "lymphangiosarcoma", - "lymphangitis", - "lymphatic system cancer", - "lymphatic system disease", - "lymphedema", - "lymphedema-distichiasis syndrome", - "lymphoblastic lymphoma", - "lymphocele", - "lymphocytic choriomeningitis", - "lymphocytic colitis", - "lymphocytic gastritis", - "lymphoepithelioma-like acinar prostate adenocarcinoma", - "lymphoepithelioma-like carcinoma", - "lymphoepithelioma-like thymic carcinoma", - "lymphogranuloma venereum", - "lymphohistiocytoid mesothelioma", - "lymphoid interstitial pneumonia", - "lymphoid leukemia", - "lymphoma", - "lymphoma-like variant infiltrating bladder urothelial carcinoma", - "lymphopenia", - "lymphoplasmacyte-rich meningioma", - "lymphoplasmacytic lymphoma", - "lymphoproliferative syndrome", - "lymphoproliferative syndrome 1", - "lymphoproliferative syndrome 2", - "Lynch syndrome", - "Lynch syndrome 1", - "lysinuric protein intolerance", - "lysosomal and lipase deficiency", - "lysosomal storage disease", - "Machado-Joseph disease", - "macrocephaly-autism syndrome", - "macrocystic neurilemmoma", - "macrocystic pattern testicular yolk sac tumor", - "macrocytic anemia", - "macroglobulinemia", - "macrotrabecular hepatoblastoma", - "macular corneal dystrophy", - "macular degeneration", - "macular holes", - "macular keratitis", - "macular retinal edema", - "Maffucci syndrome", - "main bronchus cancer", - "major affective disorder 1", - "major affective disorder 2", - "major depressive disorder", - "mal de Meleda", - "malaria", - "male breast cancer", - "male genital organ stricture", - "male genital organ vascular disease", - "male infertility", - "male reproductive organ benign neoplasm", - "male reproductive organ cancer", - "male reproductive system disease", - "male urethral cancer", - "maleic anhydride allergic asthma", - "malignant acrospiroma", - "malignant ACTH producing neoplasm of pituitary gland", - "malignant adenofibroma", - "malignant adenoma", - "malignant adult ependymoma", - "malignant anus melanoma", - "malignant biphasic mesothelioma", - "malignant breast melanoma", - "malignant cardiac germ cell tumor", - "malignant cardiac peripheral nerve sheath neoplasm", - "malignant childhood germ cell neoplasm", - "malignant choroid melanoma", - "malignant ciliary body melanoma", - "malignant conjunctival melanoma", - "malignant cornea melanoma", - "malignant cystadenoma", - "malignant cystic nephroma", - "malignant dermis tumor", - "malignant ependymoma", - "malignant epithelial mesothelioma", - "malignant epithelioid hemangioendothelioma", - "malignant essential hypertension", - "malignant eyelid melanoma", - "malignant fibrous histiocytoma", - "malignant fibrous histiocytoma of bone", - "malignant gastric germ cell tumor", - "malignant gastric granular cell tumor", - "malignant gastric teratoma", - "malignant giant cell tumor", - "malignant giant cell tumor of soft parts", - "malignant giant cell tumor of the tendon sheath", - "malignant glandular tumor of peripheral nerve sheath", - "malignant glioma", - "malignant granular cell esophageal tumor", - "malignant granular cell myoblastoma", - "malignant granular cell skin tumor", - "malignant growth hormone secreting neoplasm of pituitary", - "malignant hemangioma", - "malignant histiocytic disease", - "malignant hypertension", - "malignant hypertensive renal disease", - "malignant hyperthermia", - "malignant inflammatory fibrous histiocytoma", - "malignant iris melanoma", - "malignant leptomeningeal tumor", - "malignant mediastinal neurogenic neoplasm", - "malignant mediastinum hemangiopericytoma", - "malignant melanocytic neoplasm of the peripheral nerve sheath", - "malignant melanocytic peripheral nerve sheath tumor of mediastinum", - "malignant mesenchymoma", - "malignant mesothelioma", - "malignant neoplasm of acoustic nerve", - "malignant neoplasm of short bones of lower limb", - "malignant oculomotor nerve tumor", - "malignant otitis externa", - "malignant ovarian Brenner tumor", - "malignant ovarian cyst", - "malignant ovarian germ cell neoplasm", - "malignant ovarian surface epithelial-stromal neoplasm", - "malignant parietal pleura tumor", - "malignant pediatric adrenal gland pheochromocytoma", - "malignant peripheral nerve sheath tumor", - "malignant peritoneal solitary fibrous tumor", - "malignant pheochromocytoma", - "malignant pineal area germ cell neoplasm", - "malignant pleural mesothelioma", - "malignant pleural solitary fibrous tumor", - "malignant renovascular hypertension", - "malignant secondary hypertension", - "malignant skin fibrous histiocytoma", - "malignant spindle cell melanoma", - "malignant spiradenoma", - "malignant struma ovarii", - "malignant syringoma", - "malignant teratoma", - "malignant thyroid stimulating hormone producing neoplasm of pituitary gland", - "malignant triton tumor", - "malignant tumor of undescended testis", - "malignant type A thymoma", - "malignant type AB thymoma", - "malignant visceral pleura tumor", - "MALT lymphoma", - "malt worker's lung", - "mammary Paget's disease", - "mandibular cancer", - "mandibulofacial dysostosis with alopecia", - "mandibulofacial dysostosis, Guion-Almeida type", - "mansonelliasis", - "mantle cell lymphoma", - "maple bark strippers' lung", - "maple syrup urine disease", - "marantic endocarditis", - "marasmus", - "Marburg hemorrhagic fever", - "Marfan syndrome", - "marginal corneal ulcer", - "marginal zone B-cell lymphoma", - "Marinesco-Sjogren syndrome", - "Marshall syndrome", - "Marshall-Smith syndrome", - "Martsolf syndrome", - "MASA syndrome", - "mast cell neoplasm", - "Mast syndrome", - "mast-cell leukemia", - "mast-cell sarcoma", - "Masters-Allen syndrome", - "mastitis", - "mastocytosis", - "mastoiditis", - "Matthew-Wood syndrome", - "mature B-cell neoplasm", - "mature cataract", - "mature gastric teratoma", - "mature T-cell and NK-cell lymphoma", - "mature teratoma", - "mature teratoma of the ovary", - "maturity-onset diabetes of the young", - "maturity-onset diabetes of the young type 1", - "maturity-onset diabetes of the young type 10", - "maturity-onset diabetes of the young type 11", - "maturity-onset diabetes of the young type 13", - "maturity-onset diabetes of the young type 14", - "maturity-onset diabetes of the young type 2", - "maturity-onset diabetes of the young type 3", - "maturity-onset diabetes of the young type 4", - "maturity-onset diabetes of the young type 5", - "maturity-onset diabetes of the young type 6", - "maturity-onset diabetes of the young type 7", - "maturity-onset diabetes of the young type 8", - "maturity-onset diabetes of the young type 9", - "maxillary cancer", - "maxillary sinus adenocarcinoma", - "maxillary sinus adenoid cystic carcinoma", - "maxillary sinus cancer", - "maxillary sinus cholesteatoma", - "maxillary sinus inverted papilloma", - "maxillary sinus neoplasm", - "maxillary sinus Schneiderian papilloma", - "maxillary sinus squamous cell carcinoma", - "maxillary sinusitis", - "McCune Albright syndrome", - "McKusick-Kaufman syndrome", - "measles", - "mechanical ectropion", - "mechanical entropion", - "mechanical lagophthalmos", - "mechanical strabismus", - "Meckel syndrome", - "Meckel syndrome 1", - "Meckel syndrome 13", - "Meckel syndrome 2", - "Meckel syndrome 3", - "Meckel syndrome 4", - "Meckel syndrome 5", - "Meckel syndrome 6", - "Meckel syndrome 7", - "Meckel syndrome 8", - "Meckel's diverticulitis", - "Meckel's diverticulum", - "Meckel's diverticulum cancer", - "meconium aspiration syndrome", - "median arcuate ligament syndrome", - "median neuropathy", - "median rhomboid glossitis", - "mediastinal cancer", - "mediastinal granular cell myoblastoma", - "mediastinal gray zone lymphoma", - "mediastinal lipomatosis", - "mediastinal malignant lymphoma", - "mediastinal melanocytic neurilemmoma", - "mediastinal mesenchymal tumor", - "mediastinal neurilemmoma", - "mediastinal osteogenic sarcoma", - "mediastinitis", - "mediastinum angiosarcoma", - "mediastinum ganglioneuroblastoma", - "mediastinum leiomyoma", - "mediastinum leiomyosarcoma", - "mediastinum liposarcoma", - "mediastinum neuroblastoma", - "mediastinum neurofibroma", - "mediastinum rhabdomyosarcoma", - "mediastinum sarcoma", - "mediastinum seminoma", - "mediastinum synovial sarcoma", - "mediastinum teratoma", - "medium chain acyl-CoA dehydrogenase deficiency", - "MEDNIK syndrome", - "medullary colon carcinoma", - "medulloadrenal hyperfunction", - "medulloblastoma", - "medulloepithelioma", - "medullomyoblastoma", - "Meesmann corneal dystrophy", - "mega-corpus-callosum syndrome with cerebellar hypoplasia and cortical malformations", - "megacolon", - "megaconial type congenital muscular dystrophy", - "megacystis-microcolon-intestinal hypoperistalsis syndrome", - "megaesophagus", - "megakaryocytic leukemia", - "megalencephalic leukoencephalopathy with subcortical cysts", - "megalencephalic leukoencephalopathy with subcortical cysts 1", - "megalencephalic leukoencephalopathy with subcortical cysts 2A", - "megalencephalic leukoencephalopathy with subcortical cysts 2B", - "megaloblastic anemia", - "megalocornea", - "MEHMO syndrome", - "meibomian cyst", - "Meier-Gorlin syndrome", - "Meier-Gorlin syndrome 1", - "Meier-Gorlin syndrome 2", - "Meier-Gorlin syndrome 3", - "Meier-Gorlin syndrome 4", - "Meier-Gorlin syndrome 5", - "Meier-Gorlin syndrome 6", - "Meier-Gorlin syndrome 7", - "Meier-Gorlin syndrome 8", - "Meige syndrome", - "melancholia", - "melanoacanthoma", - "melanocytic psammomatous MPNST", - "melanoma", - "melanoma and neural system tumor syndrome", - "melanoma in congenital melanocytic nevus", - "melanomatosis", - "melanotic medulloblastoma", - "melanotic neurilemmoma", - "melanotic neuroectodermal tumor", - "MELAS syndrome", - "melioidosis", - "Melkersson-Rosenthal syndrome", - "Melnick-Needles syndrome", - "melon allergy", - "melorheostosis", - "melphalan allergy", - "membranoproliferative glomerulonephritis", - "membranous glomerulonephritis", - "Meniere's disease", - "meningeal melanocytoma", - "meningeal melanoma", - "meningeal melanomatosis", - "meninges hemangiopericytoma", - "meninges sarcoma", - "meningioma", - "meningitis", - "meningocele", - "meningococcal meningitis", - "meningoencephalitis", - "meningothelial meningioma", - "meningovascular neurosyphilis", - "Menkes disease", - "mental depression", - "mepivacaine allergy", - "Merkel cell carcinoma", - "meropenem allergy", - "MERRF syndrome", - "mesangial proliferative glomerulonephritis", - "mesenchymal cell neoplasm", - "mesenchymal chondrosarcoma", - "mesenchymoma", - "mesenteric lymphadenitis", - "mesenteric vascular occlusion", - "mesocestoidiasis", - "metabolic acidosis", - "metachondromatosis", - "metachromatic leukodystrophy", - "metachronous kidney Wilms' tumor", - "metachronous osteosarcoma of the bone", - "metagonimiasis", - "metal allergy", - "metal metabolism disorder", - "metanephric adenoma", - "metaphyseal dysplasia", - "metaphyseal dysplasia-maxillary hypoplasia-brachydacty syndrome", - "metatropic dysplasia", - "metatypical basal cell carcinoma", - "methemoglobinemia", - "methotrexate-associated lymphoproliferation", - "methyl isocyanate allergic asthma", - "methylmalonic acidemia", - "methylmalonic acidemia cblA type", - "methylmalonic acidemia cblB type", - "methylmalonic acidemia due to transcobalamin receptor defect", - "methylmalonic aciduria and homocystinuria type cblC", - "methylmalonic aciduria and homocystinuria type cblD", - "methylmalonic aciduria and homocystinuria type cblE", - "methylmalonic aciduria and homocystinuria type cblF", - "methylmalonic aciduria and homocystinuria type cblG", - "methylmalonic aciduria due to methylmalonyl-CoA mutase deficiency", - "mevalonic aciduria", - "MHC class I deficiency", - "MHC class II deficiency", - "microcephalic osteodysplastic primordial dwarfism type I", - "microcephalic osteodysplastic primordial dwarfism type II", - "microcephaly", - "microcephaly and chorioretinopathy 1", - "microcephaly and chorioretinopathy 2", - "microcephaly and chorioretinopathy 3", - "microcephaly with or without chorioretinopathy, lymphedema, or mental retardation", - "microcephaly, seizures, and developmental delay", - "microcystic adenoma", - "microcystic meningioma", - "microcystic variant infiltrating bladder urothelial carcinoma", - "microcytic anemia", - "microglandular adenosis", - "microglandular adenosis of breast", - "microinvasive cervical squamous cell carcinoma", - "microinvasive gastric cancer", - "micronodular basal cell carcinoma", - "micropapillary variant infiltrating bladder urothelial carcinoma", - "micropapillomatosis labialis", - "microphthalmia", - "microphthalmia with limb anomalies", - "microscopic breast papilloma", - "microscopic colitis", - "microsporidiosis", - "microvillus inclusion disease", - "middle cerebral artery infarction", - "middle cranial fossa meningioma", - "middle ear adenocarcinoma", - "middle ear adenoma", - "middle ear cancer", - "middle ear carcinoma", - "middle ear cholesterol granuloma", - "middle ear disease", - "middle ear squamous cell carcinoma", - "Middle East respiratory syndrome", - "middle lobe syndrome", - "midface dysplasia", - "midline cystocele", - "migraine", - "migraine with aura", - "migraine without aura", - "Mikulicz disease", - "mild pre-eclampsia", - "Miles-Carpenter syndrome", - "miliaria", - "miliaria crystallina", - "miliaria profunda", - "miliaria pustulosa", - "miliaria rubra", - "miliary tuberculosis", - "milk allergy", - "milker's nodule", - "Miller Fisher syndrome", - "Miller-Dieker lissencephaly syndrome", - "mineral metabolism disease", - "minor vestibular glands adenoma", - "mirror agnosia", - "mite infestation", - "mitochondrial complex I deficiency", - "mitochondrial complex II deficiency", - "mitochondrial complex III deficiency", - "mitochondrial complex III deficiency nuclear type 1", - "mitochondrial complex III deficiency nuclear type 2", - "mitochondrial complex III deficiency nuclear type 3", - "mitochondrial complex III deficiency nuclear type 4", - "mitochondrial complex III deficiency nuclear type 5", - "mitochondrial complex III deficiency nuclear type 6", - "mitochondrial complex III deficiency nuclear type 7", - "mitochondrial complex III deficiency nuclear type 8", - "mitochondrial complex III deficiency nuclear type 9", - "mitochondrial complex V (ATP synthase) deficiency", - "mitochondrial complex V (ATP synthase) deficiency mitochondrial type 1", - "mitochondrial complex V (ATP synthase) deficiency nuclear type 2", - "mitochondrial complex V (ATP synthase) deficiency nuclear type 3", - "mitochondrial complex V (ATP synthase) deficiency nuclear type 4", - "mitochondrial complex V (ATP synthase) deficiency nuclear type 6", - "mitochondrial complex V (ATP synthase) deficiency, nuclear type 1", - "mitochondrial DNA depletion syndrome", - "mitochondrial DNA depletion syndrome 1", - "mitochondrial DNA depletion syndrome 11", - "mitochondrial DNA depletion syndrome 12a", - "mitochondrial DNA depletion syndrome 12b", - "mitochondrial DNA depletion syndrome 13", - "mitochondrial DNA depletion syndrome 14", - "mitochondrial DNA depletion syndrome 15", - "mitochondrial DNA depletion syndrome 2", - "mitochondrial DNA depletion syndrome 3", - "mitochondrial DNA depletion syndrome 4a", - "mitochondrial DNA depletion syndrome 4b", - "mitochondrial DNA depletion syndrome 5", - "mitochondrial DNA depletion syndrome 6", - "mitochondrial DNA depletion syndrome 7", - "mitochondrial DNA depletion syndrome 8a", - "mitochondrial DNA depletion syndrome 8b", - "mitochondrial DNA depletion syndrome 9", - "mitochondrial encephalomyopathy", - "mitochondrial metabolism disease", - "mitochondrial myopathy", - "mitochondrial nonsyndromic sensorineural deafness", - "mitochondrial pyruvate carrier deficiency", - "mitochondrial trifunctional protein deficiency", - "mitral valve disease", - "mitral valve insufficiency", - "mitral valve prolapse", - "mitral valve stenosis", - "Miura type epiphyseal chondrodysplasia", - "mixed astrocytoma-ependymoma", - "mixed astrocytoma-ependymoma-oligodendroglioma", - "mixed cell adenoma", - "mixed cell type adenoma of parathyroid", - "mixed cell type cancer", - "mixed cell type kidney Wilms' tumor", - "mixed cell uveal melanoma", - "mixed cerebral palsy", - "mixed connective tissue disease", - "mixed ductal-endocrine carcinoma", - "mixed endometrial stromal and smooth muscle tumor", - "mixed eosinophil-basophil adenoma", - "mixed epithelial stromal tumour", - "mixed epithelial tumor of ovary", - "mixed epithelial/mesenchymal metaplastic breast carcinoma", - "mixed extragonadal germ cell cancer", - "mixed fibrolamellar hepatocellular carcinoma", - "mixed germ cell cancer", - "mixed germ cell-sex cord neoplasm", - "mixed glioma", - "mixed gonadal dysgenesis", - "mixed hepatoblastoma", - "mixed lacrimal gland cancer", - "mixed liposarcoma", - "mixed malaria", - "mixed mineral dust pneumoconiosis", - "mixed mucinous and nonmucinous bronchioloalveolar adenocarcinoma", - "mixed oligodendroglioma-astrocytoma", - "mixed phenotype acute leukemia", - "mixed receptive-expressive language disorder", - "mixed sleep apnea", - "mixed testicular germ cell tumor", - "mixed type rhabdomyosarcoma", - "mixed type thymoma", - "mixed-type liposarcoma", - "Miyoshi muscular dystrophy", - "Miyoshi muscular dystrophy 1", - "Miyoshi muscular dystrophy 2", - "Miyoshi muscular dystrophy 3", - "Mobitz type II atrioventricular block", - "Mobius syndrome", - "mollusc allergy", - "molluscum contagiosum", - "molybdenum cofactor deficiency", - "molybdenum cofactor deficiency type A", - "molybdenum cofactor deficiency type B", - "molybdenum cofactor deficiency type C", - "Monckeberg arteriosclerosis", - "mongolian spot", - "monieziasis", - "monilethrix", - "monkeypox", - "monoclonal gammopathy of uncertain significance", - "monoclonal paraproteinemia", - "monocular esotropia", - "monocular exotropia", - "monocytic leukemia", - "monodermal teratoma", - "monofixation syndrome", - "monogenic disease", - "Mononen-Karnes-Senac syndrome", - "mononeuritis", - "mononeuritis multiplex", - "mononeuritis of lower limb", - "mononeuritis of upper limb", - "mononeuritis of upper limb and mononeuritis multiplex", - "mononeuropathy", - "monophasic synovial sarcoma", - "mood disorder", - "Mooren's ulcer", - "morbid obesity", - "Morgagni cataract", - "morpheaform basal cell carcinoma", - "morphine dependence", - "mosaic variegated aneuploidy syndrome 1", - "mosaic variegated aneuploidy syndrome 2", - "motility-related diarrhea", - "motion sickness", - "motor neuritis", - "motor neuron disease", - "motor peripheral neuropathy", - "mouth disease", - "movement disease", - "Mowat-Wilson syndrome", - "Moyamoya disease", - "mu chain disease", - "mucin-rich endometrial endometrioid adenocarcinoma", - "mucinoses", - "mucinous adenocarcinoma", - "mucinous adenofibroma", - "mucinous bronchioloalveolar adenocarcinoma", - "mucinous cystadenocarcinoma", - "mucinous cystadenofibroma", - "mucinous intrahepatic cholangiocarcinoma", - "mucinous lung adenocarcinoma", - "mucinous ovarian cystadenoma", - "mucinous stomach adenocarcinoma", - "mucinous tubular and spindle renal cell carcinoma", - "Muckle-Wells syndrome", - "mucocele of appendix", - "mucocele of salivary gland", - "mucocutaneous leishmaniasis", - "mucoepidermoid carcinoma", - "mucoepidermoid esophageal carcinoma", - "mucolipidosis", - "mucolipidosis type IV", - "mucopolysaccharidosis", - "mucopolysaccharidosis I", - "mucopolysaccharidosis Ih", - "mucopolysaccharidosis Ih/s", - "mucopolysaccharidosis II", - "mucopolysaccharidosis III", - "mucopolysaccharidosis IV", - "mucopolysaccharidosis IVA", - "mucopolysaccharidosis IX", - "mucopolysaccharidosis type IIIA", - "mucopolysaccharidosis type IIIB", - "mucopolysaccharidosis type IIIC", - "mucopolysaccharidosis type IIID", - "mucopolysaccharidosis type IVB", - "mucopolysaccharidosis VI", - "mucormycosis", - "mucosal melanoma", - "mucositis", - "mucosulfatidosis", - "Muenke Syndrome", - "Muir-Torre syndrome", - "Mulchandani-Bhoj-Conlin syndrome", - "mulibrey nanism", - "Mullerian aplasia and hyperandrogenism", - "multicentric carpotarsal osteolysis syndrome", - "multicentric Castleman disease", - "multicentric papillary thyroid carcinoma", - "multicentric reticulohistiocytosis", - "multidrug-resistant tuberculosis", - "multifocal dystonia", - "multifocal osteogenic sarcoma", - "multilocular clear cell renal cell carcinoma", - "multinodular goiter", - "multinucleated neurons, anhydramnios, renal dysplasia, cerebellar hypoplasia and hydranencephaly", - "multiple acyl-CoA dehydrogenase deficiency", - "multiple carboxylase deficiency", - "multiple chemical sensitivity", - "multiple congenital anomalies-hypotonia-seizures syndrome", - "multiple congenital anomalies-hypotonia-seizures syndrome 1", - "multiple congenital anomalies-hypotonia-seizures syndrome 2", - "multiple congenital anomalies-hypotonia-seizures syndrome 3", - "multiple cranial nerve palsy", - "multiple cutaneous and mucosal venous malformations", - "multiple endocrine neoplasia type 1", - "multiple endocrine neoplasia type 2A", - "multiple endocrine neoplasia type 2B", - "multiple endocrine neoplasia type 4", - "multiple epiphyseal dysplasia", - "multiple epiphyseal dysplasia 1", - "multiple epiphyseal dysplasia 2", - "multiple epiphyseal dysplasia 3", - "multiple epiphyseal dysplasia 4", - "multiple epiphyseal dysplasia 5", - "multiple epiphyseal dysplasia 6", - "multiple epiphyseal dysplasia 7", - "multiple epiphyseal dysplasia due to collagen 9 anomaly", - "multiple epiphyseal dysplasia with myopia and deafness", - "multiple intestinal atresia", - "multiple mitochondrial dysfunctions syndrome", - "multiple mitochondrial dysfunctions syndrome 1", - "multiple mitochondrial dysfunctions syndrome 2", - "multiple mitochondrial dysfunctions syndrome 3", - "multiple mitochondrial dysfunctions syndrome 4", - "multiple mitochondrial dysfunctions syndrome 5", - "multiple mitochondrial dysfunctions syndrome 6", - "multiple mucosal neuroma", - "multiple myeloma", - "multiple personality disorder", - "multiple pterygium syndrome", - "multiple sclerosis", - "multiple skull base meningioma", - "multiple spinal canal and spinal cord meningioma", - "multiple symmetric lipomatosis", - "multiple synostoses syndrome", - "multiple system atrophy", - "multisystem proteinopathy", - "mumps", - "Munchausen by proxy", - "Murray Valley encephalitis", - "muscle benign neoplasm", - "muscle cancer", - "muscle tissue disease", - "muscular atrophy", - "muscular disease", - "muscular dystrophy", - "muscular dystrophy-dystroglycanopathy", - "muscular dystrophy-dystroglycanopathy type B5", - "muscular dystrophy-dystroglycanopathy type B6", - "musculoskeletal system benign neoplasm", - "musculoskeletal system cancer", - "musculoskeletal system disease", - "mushroom workers' lung", - "mutism", - "myasthenia gravis", - "Mycobacterium avium complex disease", - "Mycoplasma pneumoniae pneumonia", - "mycosis fungoides", - "mycotic corneal ulcer", - "myelitis", - "myelodysplastic syndrome", - "myelodysplastic/myeloproliferative neoplasm", - "myelofibrosis", - "myeloid and lymphoid neoplasms associated with FGFR1 abnormalities", - "myeloid and lymphoid neoplasms associated with PDGFRA rearrangement", - "myeloid and lymphoid neoplasms with eosinophilia and abnormalities of PDGFRA, PDGFRB, and FGFR1", - "myeloid leukemia", - "myeloid neoplasm", - "myeloid neoplasms associated with PDGFRB rearrangement", - "myeloid sarcoma", - "myelomeningocele", - "myelophthisic anemia", - "myeloproliferative disorder with eosinophilia", - "myeloproliferative neoplasm", - "MYH-9 related disease", - "myiasis", - "myoblastoma", - "myocardial infarction", - "myocardial stunning", - "myocarditis", - "myocardium cancer", - "myoclonic cerebellar dyssynergia", - "myoclonic dystonia", - "myoclonic dystonia 11", - "myoclonic dystonia 15", - "myoclonic dystonia 26", - "myoepithelial carcinoma", - "myoepithelioma", - "myofascial pain syndrome", - "myofibrillar myopathy", - "myofibrillar myopathy 1", - "myofibrillar myopathy 2", - "myofibrillar myopathy 3", - "myofibrillar myopathy 4", - "myofibrillar myopathy 5", - "myofibrillar myopathy 6", - "myofibrillar myopathy 7", - "myofibrillar myopathy 8", - "myofibrillar myopathy 9", - "myofibroma", - "myoglobinuria", - "myoma", - "myopathy", - "myopathy of extraocular muscle", - "myopathy with extrapyramidal signs", - "myopathy, lactic acidosis, and sideroblastic anemia", - "myopathy, lactic acidosis, and sideroblastic anemia 1", - "myopathy, lactic acidosis, and sideroblastic anemia 2", - "myopathy, lactic acidosis, and sideroblastic anemia 3", - "myopia", - "myositis", - "myositis fibrosa", - "myositis ossificans", - "myostatin-related muscle hypertrophy", - "myotonia congenita", - "myotonic cataract", - "myotonic disease", - "myotonic dystrophy type 1", - "myotonic dystrophy type 2", - "myringitis bullosa hemorrhagica", - "myxedema", - "myxofibrosarcoma", - "myxoid chondrosarcoma", - "myxoid leiomyosarcoma", - "myxoid liposarcoma", - "myxoid liposarcoma of the ovary", - "myxomatous pattern testicular yolk sac tumor", - "myxopapillary ependymoma", - "myxosarcoma", - "N syndrome", - "N,N'-diethylthiourea allergic contact dermatitis", - "N,N'-diphenylthiourea allergic contact dermatitis", - "Naegeli-Franceschetti-Jadassohn syndrome", - "Nager acrofacial dysostosis", - "nail disease", - "nail-patella syndrome", - "Nance-Horan syndrome", - "nanophthalmos", - "narcissistic personality disorder", - "narcolepsy", - "NARP syndrome", - "nasal cavity adenocarcinoma", - "nasal cavity cancer", - "nasal cavity carcinoma", - "nasal cavity carcinoma in situ", - "nasal cavity disease", - "nasal cavity inverting papilloma", - "nasal cavity lymphoma", - "nasal cavity neoplasm", - "nasal cavity olfactory neuroblastoma", - "nasal cavity squamous cell carcinoma", - "nasal vestibule papilloma", - "nasopharyngeal disease", - "nasopharyngitis", - "nasopharynx carcinoma", - "Nasu-Hakola disease", - "Native American myopathy", - "Naxos disease", - "necatoriasis", - "necrobiosis lipoidica", - "necrosis of ear ossicle", - "necrosis of pituitary", - "necrotic uveal melanoma", - "necrotizing fasciitis", - "necrotizing gastritis", - "necrotizing sialometaplasia", - "necrotizing ulcerative gingivitis", - "Nelson syndrome", - "nemaline myopathy", - "nemaline myopathy 1", - "nemaline myopathy 10", - "nemaline myopathy 11", - "nemaline myopathy 2", - "nemaline myopathy 3", - "nemaline myopathy 4", - "nemaline myopathy 5", - "nemaline myopathy 6", - "nemaline myopathy 7", - "nemaline myopathy 8", - "nemaline myopathy 9", - "neomycin sulfate allergic contact dermatitis", - "neonatal abstinence syndrome", - "neonatal anemia", - "neonatal candidiasis", - "neonatal diabetes mellitus", - "neonatal diabetes mellitus with congenital hypothyroidism", - "neonatal infective mastitis", - "neonatal jaundice", - "neonatal leukemia", - "neonatal myasthenia gravis", - "neonatal period electroclinical syndrome", - "neonatal respiratory failure", - "neonatal thyrotoxicosis", - "neonatal urinary tract infectious disease", - "neonatal-onset type II citrullinemia", - "neovascular glaucoma", - "neovascular inflammatory vitreoretinopathy", - "nephritis", - "nephroblastoma", - "nephrocalcinosis", - "nephrogenic adenofibroma", - "nephrogenic adenoma", - "nephrogenic adenoma of the urethra", - "nephrogenic adenoma of urinary bladder", - "nephrogenic diabetes insipidus", - "nephrolithiasis", - "nephroma", - "nephronophthisis", - "nephronophthisis 1", - "nephronophthisis 11", - "nephronophthisis 12", - "nephronophthisis 13", - "nephronophthisis 14", - "nephronophthisis 15", - "nephronophthisis 16", - "nephronophthisis 18", - "nephronophthisis 19", - "nephronophthisis 2", - "nephronophthisis 20", - "nephronophthisis 3", - "nephronophthisis 4", - "nephronophthisis 7", - "nephronophthisis 9", - "nephronophthisis-like nephropathy 1", - "nephropathia epidemica", - "nephrosclerosis", - "nephrosis", - "nephrotic syndrome", - "nephrotic syndrome type 1", - "nephrotic syndrome type 10", - "nephrotic syndrome type 11", - "nephrotic syndrome type 12", - "nephrotic syndrome type 13", - "nephrotic syndrome type 14", - "nephrotic syndrome type 15", - "nephrotic syndrome type 16", - "nephrotic syndrome type 17", - "nephrotic syndrome type 18", - "nephrotic syndrome type 19", - "nephrotic syndrome type 2", - "nephrotic syndrome type 20", - "nephrotic syndrome type 3", - "nephrotic syndrome type 4", - "nephrotic syndrome type 5", - "nephrotic syndrome type 6", - "nephrotic syndrome type 7", - "nephrotic syndrome type 8", - "nephrotic syndrome type 9", - "nerve compression syndrome", - "nerve fibre bundle defect", - "nerve plexus neoplasm", - "nerve root neoplasm", - "nervous system benign neoplasm", - "nervous system cancer", - "nervous system disease", - "nervous system hibernoma", - "nested variant infiltrating bladder urothelial carcinoma", - "Netherton syndrome", - "Neu-Laxova syndrome 1", - "Neu-Laxova syndrome 2", - "neural tube defect", - "neurilemmoma", - "neurilemmoma of the fifth cranial nerve", - "neurilemmoma of the pleura", - "neurilemmomatosis", - "neuritis", - "neuroacanthocytosis", - "neuroaspergillosis", - "neuroaxonal dystrophy", - "neuroblastoma", - "neurocirculatory asthenia", - "neurodegeneration with brain iron accumulation", - "neurodegeneration with brain iron accumulation 2a", - "neurodegeneration with brain iron accumulation 2b", - "neurodegeneration with brain iron accumulation 3", - "neurodegeneration with brain iron accumulation 4", - "neurodegeneration with brain iron accumulation 5", - "neurodegeneration with brain iron accumulation 6", - "neurodegenerative disease", - "neurodermatitis", - "neurodevelopmental disorder with cataracts, poor growth, and dysmorphic facies", - "neurodevelopmental disorder with midbrain and hindbrain malformations", - "neuroectodermal tumor", - "neuroendocrine carcinoma", - "neuroendocrine tumor", - "neurofibroma", - "neurofibroma of gallbladder", - "neurofibroma of spinal cord", - "neurofibroma of the esophagus", - "neurofibroma of the heart", - "neurofibromatosis", - "neurofibromatosis 1", - "neurofibromatosis 2", - "neurofibromatosis-Noonan syndrome", - "neurofibrosarcoma", - "neurogenic arthrogryposis multiplex congenita", - "neurogenic arthropathy", - "neurogenic bladder", - "neurogenic bowel", - "neurogenic scapuloperoneal syndrome Kaeser type", - "neurohypophyseal diabetes insipidus", - "neurohypophysis granular cell tumor", - "neuroleptic malignant syndrome", - "neuroma", - "neuromuscular disease", - "neuromuscular junction disease", - "neuromyelitis optica", - "neuronal ceroid lipofuscinosis", - "neuronal ceroid lipofuscinosis 1", - "neuronal ceroid lipofuscinosis 10", - "neuronal ceroid lipofuscinosis 11", - "neuronal ceroid lipofuscinosis 13", - "neuronal ceroid lipofuscinosis 2", - "neuronal ceroid lipofuscinosis 3", - "neuronal ceroid lipofuscinosis 4A", - "neuronal ceroid lipofuscinosis 4B", - "neuronal ceroid lipofuscinosis 5", - "neuronal ceroid lipofuscinosis 6", - "neuronal ceroid lipofuscinosis 7", - "neuronal ceroid lipofuscinosis 8", - "neuronal ceroid lipofuscinosis 8 northern epilepsy variant", - "neuronal ceroid lipofuscinosis 9", - "neuronal intestinal dysplasia", - "neuronitis", - "neurooculocardiogenitourinary syndrome", - "neuropathy", - "neuroretinitis", - "neurosarcoidosis", - "neuroschistosomiasis", - "neurotic disorder", - "neurotic excoriation", - "neurotrophic keratoconjunctivitis", - "neutral lipid storage disease", - "neutropenia", - "nevoid basal cell carcinoma syndrome", - "newborn respiratory distress syndrome", - "Newcastle disease", - "Newfoundland cone-rod dystrophy", - "Nezelof syndrome", - "NFIA-related disorder", - "NGLY1-deficiency", - "nickel allergic asthma", - "nickel allergic contact dermatitis", - "nicotine dependence", - "Niemann-Pick disease", - "Niemann-Pick disease type A", - "Niemann-Pick disease type B", - "Niemann-Pick disease type C1", - "Niemann-Pick disease type C2", - "night blindness", - "Nijmegen breakage syndrome", - "Nipah virus encephalitis", - "nipple carcinoma", - "nipple duct carcinoma", - "nipple neoplasm", - "nocardiosis", - "nodal marginal zone lymphoma", - "nodular basal cell carcinoma", - "nodular degeneration of cornea", - "nodular episcleritis", - "nodular ganglioneuroblastoma", - "nodular goiter", - "nodular hidradenoma", - "nodular malignant melanoma", - "nodular medulloblastoma", - "nodular nonsuppurative panniculitis", - "nodular prostate", - "nodular tenosynovitis", - "noma", - "nominal aphasia", - "non specific chronic endometritis", - "non-alcoholic fatty liver", - "non-alcoholic fatty liver disease", - "non-alcoholic steatohepatitis", - "non-arteritic anterior ischemic optic neuropathy", - "non-congenital cyst of kidney", - "non-functioning pancreatic endocrine tumor", - "non-gestational choriocarcinoma", - "non-gestational ovarian choriocarcinoma", - "non-Hodgkin lymphoma", - "non-invasive bladder papillary urothelial neoplasm", - "non-invasive bladder urothelial carcinoma", - "non-Langerhans-cell histiocytosis", - "non-proliferative fibrocystic change of the breast", - "non-renal secondary hyperparathyroidism", - "non-secretory myeloma", - "non-suppurative otitis media", - "non-syndromic intellectual disability", - "non-syndromic X-linked intellectual disability", - "nonencapsulated sclerosing carcinoma", - "nonepidermolytic palmoplantar keratoderma", - "noninfectious dermatoses of eyelid", - "noninvasive malignant thymoma", - "nonmucinous bronchioloalveolar adenocarcinoma", - "nonossifying fibromyxoid tumor", - "nonpapillary renal cell carcinoma", - "nonparalytic poliomyelitis", - "nonphotosensitive trichothiodystrophy", - "nonprogressive cerebellar ataxia with mental retardation", - "nonspecific interstitial pneumonia", - "nonsyndromic congenital nail disorder 1", - "nonsyndromic congenital nail disorder 10", - "nonsyndromic congenital nail disorder 2", - "nonsyndromic congenital nail disorder 3", - "nonsyndromic congenital nail disorder 4", - "nonsyndromic congenital nail disorder 5", - "nonsyndromic congenital nail disorder 6", - "nonsyndromic congenital nail disorder 7", - "nonsyndromic congenital nail disorder 8", - "nonsyndromic congenital nail disorder 9", - "nonsyndromic deafness", - "nontoxic goiter", - "Noonan syndrome", - "Noonan syndrome 1", - "Noonan syndrome 10", - "Noonan syndrome 2", - "Noonan syndrome 3", - "Noonan syndrome 4", - "Noonan syndrome 5", - "Noonan syndrome 6", - "Noonan syndrome 7", - "Noonan syndrome 8", - "Noonan syndrome 9", - "normal pressure hydrocephalus", - "Norman-Roberts syndrome", - "normocytic anemia", - "normophosphatemic familial tumoral calcinosis", - "Norrie disease", - "Norum disease", - "norwegian scabies", - "nose disease", - "nosophobia", - "notochordal cancer", - "nuclear senile cataract", - "null-cell leukemia", - "nut allergy", - "NUT midline carcinoma", - "nutmeg liver", - "nutrition disease", - "nutritional deficiency disease", - "nutritional optic neuropathy", - "O'nyong'nyong fever", - "obesity", - "oblique facial clefting 1", - "obsessive-compulsive disorder", - "obsessive-compulsive personality disorder", - "obstructive hydrocephalus", - "obstructive jaundice", - "obstructive lung disease", - "obstructive nephropathy", - "obstructive sleep apnea", - "occipital horn syndrome", - "occipital lobe neoplasm", - "occlusion of gallbladder", - "occlusion precerebral artery", - "occult macular dystrophy", - "occupational dermatitis", - "ochronosis", - "ocular albinism", - "ocular albinism with sensorineural deafness", - "ocular cancer", - "ocular hyperemia", - "ocular hypertension", - "ocular hypotension", - "ocular melanoma", - "ocular motility disease", - "ocular tuberculosis", - "oculoauricular syndrome", - "oculocerebrorenal syndrome", - "oculocutaneous albinism", - "oculocutaneous albinism type IA", - "oculocutaneous albinism type IB", - "oculocutaneous albinism type II", - "oculocutaneous albinism type III", - "oculocutaneous albinism type IV", - "oculocutaneous albinism type V", - "oculocutaneous albinism type VI", - "oculocutaneous albinism type VII", - "oculodentodigital dysplasia", - "oculoectodermal syndrome", - "oculoglandular tularemia", - "oculogyric crisis", - "oculomotor nerve paralysis", - "oculopharyngeal muscular dystrophy", - "odontoclasia", - "oesophagostomiasis", - "Ogden syndrome", - "Oguchi disease-1", - "Oguchi disease-2", - "Ohdo syndrome", - "olecranon bursitis", - "olfactory groove meningioma", - "olfactory nerve disease", - "olfactory nerve neoplasm", - "olfactory neural tumor", - "olfactory neuroblastoma", - "oligoasthenoteratozoospermia", - "oligodendroglioma", - "oligohydramnios", - "oligomeganephronia", - "oligospermia", - "Oliver-McFarlane syndrome", - "olivopontocerebellar atrophy", - "Ollier disease", - "Omenn syndrome", - "omodysplasia", - "omphalocele", - "Omsk hemorrhagic fever", - "onchocerciasis", - "oncocytic breast carcinoma", - "oophoritis", - "open-angle glaucoma", - "ophthalmia neonatorum", - "ophthalmia nodosa", - "ophthalmomyiasis", - "ophthalmoplegia", - "opiate dependence", - "opioid abuse", - "opisthorchiasis", - "Opitz-GBBB syndrome", - "opportunistic bacterial infectious disease", - "opportunistic mycosis", - "oppositional defiant disorder", - "optic atrophy", - "optic atrophy 1", - "optic atrophy 10", - "optic atrophy 11", - "optic atrophy 2", - "optic atrophy 3", - "optic atrophy 4", - "optic atrophy 5", - "optic atrophy 6", - "optic atrophy 7", - "optic atrophy 8", - "optic atrophy 9", - "optic disc anomalies with retinal and/or macular dystrophy", - "optic disk drusen", - "optic nerve astrocytoma", - "optic nerve disease", - "optic nerve glioma", - "optic nerve neoplasm", - "optic nerve sheath meningioma", - "optic neuritis", - "optic papillitis", - "oral candidiasis", - "oral cavity cancer", - "oral cavity carcinoma in situ", - "oral hairy leukoplakia", - "oral leukoedema", - "oral mucosa leukoplakia", - "oral squamous cell carcinoma", - "oral submucous fibrosis", - "oral tuberculosis", - "orange allergy", - "orbit alveolar rhabdomyosarcoma", - "orbit embryonal rhabdomyosarcoma", - "orbit lymphoma", - "orbit rhabdomyosarcoma", - "orbit sarcoma", - "orbital cancer", - "orbital cellulitis", - "orbital cyst", - "orbital disease", - "orbital granuloma", - "orbital osteomyelitis", - "orbital periostitis", - "orbital plasma cell granuloma", - "orbital tenonitis", - "orchitis", - "organ system benign neoplasm", - "organ system cancer", - "organic acidemia", - "ornithine carbamoyltransferase deficiency", - "ornithine translocase deficiency", - "ornithosis", - "orofacial cleft", - "orofacial cleft 1", - "orofacial cleft 10", - "orofacial cleft 11", - "orofacial cleft 12", - "orofacial cleft 13", - "orofacial cleft 14", - "orofacial cleft 15", - "orofacial cleft 2", - "orofacial cleft 3", - "orofacial cleft 4", - "orofacial cleft 5", - "orofacial cleft 6", - "orofacial cleft 7", - "orofacial cleft 8", - "orofacial cleft 9", - "orofaciodigital syndrome", - "orofaciodigital syndrome I", - "orofaciodigital syndrome III", - "orofaciodigital syndrome IV", - "orofaciodigital syndrome IX", - "orofaciodigital syndrome V", - "orofaciodigital syndrome VII", - "orofaciodigital syndrome VIII", - "orofaciodigital syndrome X", - "orofaciodigital syndrome XI", - "orofaciodigital syndrome XVI", - "orofaciodigital syndrome XVII", - "oromandibular dystonia", - "oropharyngeal anthrax", - "oropharynx cancer", - "Oropouche fever", - "orotic aciduria", - "orthostatic proteinuria", - "Osgood-Schlatter's disease", - "osmotic diarrhea", - "ossification of the posterior longitudinal ligament of spine", - "ossifying fibroma", - "ossifying fibromyxoid tumor", - "osteitis fibrosa", - "osteoarthritis", - "osteoblastoma", - "osteochondritis dissecans", - "osteochondrodysplasia", - "osteochondrosis", - "osteoclast-like giant cell neoplasm of the pancreas", - "osteogenesis imperfecta", - "osteogenesis imperfecta type 1", - "osteogenesis imperfecta type 10", - "osteogenesis imperfecta type 11", - "osteogenesis imperfecta type 12", - "osteogenesis imperfecta type 13", - "osteogenesis imperfecta type 14", - "osteogenesis imperfecta type 15", - "osteogenesis imperfecta type 16", - "osteogenesis imperfecta type 17", - "osteogenesis imperfecta type 2", - "osteogenesis imperfecta type 3", - "osteogenesis imperfecta type 4", - "osteogenesis imperfecta type 5", - "osteogenesis imperfecta type 6", - "osteogenesis imperfecta type 7", - "osteogenesis imperfecta type 8", - "osteogenesis imperfecta type 9", - "osteogenesis imperfecta with opalescent teeth, blue sclerae and wormian bones but without fractures", - "osteoglophonic dysplasia", - "osteomalacia", - "osteomyelitis", - "osteonecrosis", - "osteopathia striata with cranial sclerosis", - "osteopetrosis", - "osteopoikilosis", - "osteoporosis", - "osteoporosis-pseudoglioma syndrome", - "osteosarcoma", - "osteosarcoma arising in bone Paget's disease", - "osteosclerosis", - "osteosclerotic myeloma", - "ostertagiasis", - "otitis externa", - "otitis interna", - "otitis media", - "otomycosis", - "otopalatodigital syndrome spectrum disorder", - "otopalatodigital syndrome type 1", - "otopalatodigital syndrome type 2", - "otosalpingitis", - "otosclerosis", - "otospondylomegaepiphyseal dysplasia", - "otulipenia", - "outlet dysfunction constipation", - "ovarian angiosarcoma", - "ovarian benign neoplasm", - "ovarian biphasic or triphasic teratoma", - "ovarian Brenner tumor", - "ovarian cancer", - "ovarian carcinoma", - "ovarian carcinosarcoma", - "ovarian clear cell adenocarcinoma", - "ovarian clear cell adenofibroma", - "ovarian clear cell carcinoma", - "ovarian clear cell cystadenocarcinoma", - "ovarian clear cell cystadenofibroma", - "ovarian clear cell malignant adenofibroma", - "ovarian cyst", - "ovarian cystadenocarcinoma", - "ovarian cystadenoma", - "ovarian cystic teratoma", - "ovarian disease", - "ovarian dysfunction", - "ovarian dysgenesis 1", - "ovarian dysgenesis 2", - "ovarian dysgenesis 3", - "ovarian dysgenesis 4", - "ovarian dysgenesis 5", - "ovarian dysgenesis 6", - "ovarian dysgenesis 7", - "ovarian dysgenesis 8", - "ovarian embryonal carcinoma", - "ovarian endodermal sinus tumor", - "ovarian endometrial cancer", - "ovarian endometrioid adenofibroma", - "ovarian endometrioid cystadenofibroma", - "ovarian endometrioid cystadenoma", - "ovarian endometrioid malignant adenofibroma", - "ovarian endometrioid stromal sarcoma", - "ovarian fetiform teratoma", - "ovarian germ cell cancer", - "ovarian germ cell monodermal and highly specialized teratoma", - "ovarian germ cell teratoma", - "ovarian gonadoblastoma", - "ovarian hyperstimulation syndrome", - "ovarian large-cell neuroendocrine carcinoma", - "ovarian lymphoma", - "ovarian malignant mesothelioma", - "ovarian melanoma", - "ovarian mesodermal adenosarcoma", - "ovarian mixed germ cell neoplasm", - "ovarian mucinous adenocarcinoma", - "ovarian mucinous adenofibroma", - "ovarian mucinous cystadenocarcinoma", - "ovarian mucinous cystadenofibroma", - "ovarian mucinous malignant adenofibroma", - "ovarian mucinous neoplasm", - "ovarian papillary cystadenoma", - "ovarian papillary neoplasm", - "ovarian primitive germ cell tumor", - "ovarian seromucinous carcinoma", - "ovarian serous adenofibroma", - "ovarian serous carcinoma", - "ovarian serous cystadenocarcinoma", - "ovarian serous cystadenofibroma", - "ovarian sex cord-stromal benign neoplasm", - "ovarian sex-cord stromal tumor", - "ovarian small cell carcinoma", - "ovarian solid teratoma", - "ovarian squamous cell carcinoma", - "ovarian squamous cell neoplasm", - "ovarian stromal hyperthecosis", - "ovarian surface papilloma", - "ovarian Wilms' cancer", - "ovary adenocarcinoma", - "ovary epithelial cancer", - "ovary leiomyosarcoma", - "ovary neuroendocrine neoplasm", - "ovary papillary carcinoma", - "ovary rhabdomyosarcoma", - "ovary sarcoma", - "ovary serous adenocarcinoma", - "ovary transitional cell carcinoma", - "overhydrated hereditary stomatocytosis", - "overnutrition", - "oxirane allergy", - "oxyphilic adenoma", - "oxyphilic endometrial endometrioid adenocarcinoma", - "pachyonychia congenita", - "Pacinian tumor", - "Paget's disease of bone", - "pain agnosia", - "pain disorder", - "palindromic rheumatism", - "palladium allergic contact dermatitis", - "Pallister-Hall syndrome", - "palmoplantar keratoderma and congenital alopecia 1", - "palmoplantar keratoderma and congenital alopecia 2", - "palmoplantar keratoderma-deafness syndrome", - "palmoplantar keratoderma-esophageal carcinoma syndrome", - "palmoplantar keratosis", - "Pancoast tumor", - "pancreas disease", - "pancreas lymphoma", - "pancreas sarcoma", - "pancreatic acinar cell adenocarcinoma", - "pancreatic ACTH hormone producing tumor", - "pancreatic adenocarcinoma", - "pancreatic adenosquamous carcinoma", - "pancreatic agenesis", - "pancreatic cancer", - "pancreatic carcinoma", - "pancreatic cholera", - "pancreatic colloid cystadenocarcinoma", - "pancreatic colloid cystadenoma", - "pancreatic cystadenocarcinoma", - "pancreatic cystadenoma", - "pancreatic delta cell neoplasm", - "pancreatic ductal adenocarcinoma", - "pancreatic ductal carcinoma", - "pancreatic endocrine carcinoma", - "pancreatic foamy gland adenocarcinoma", - "pancreatic gastrinoma", - "pancreatic hypoplasia-diabetes-congenital heart disease syndrome", - "pancreatic intraductal papillary-colloid carcinoma", - "pancreatic intraductal papillary-mucinous adenoma", - "pancreatic intraductal papillary-mucinous neoplasm", - "pancreatic invasive intraductal papillary-mucinous carcinoma", - "pancreatic invasive mucinous cystadenocarcinoma", - "pancreatic mucinous cystadenoma", - "pancreatic mucinous ductal ectasia", - "pancreatic non-functioning delta cell tumor", - "pancreatic non-invasive intraductal papillary-mucinous carcinoma", - "pancreatic non-invasive mucinous cystadenocarcinoma", - "pancreatic serous cystadenocarcinoma", - "pancreatic serous cystadenoma", - "pancreatic serous cystic neoplasm", - "pancreatic signet ring cell adenocarcinoma", - "pancreatic solid pseudopapillary carcinoma", - "pancreatic somatostatinoma", - "pancreatic squamous cell carcinoma", - "pancreatic steatorrhea", - "pancreatic vasoactive intestinal peptide producing tumor", - "pancreatitis", - "pancreatoblastoma", - "pancytopenia", - "panhypopituitarism", - "panic disorder", - "panniculitis", - "panophthalmitis", - "pantothenate kinase-associated neurodegeneration", - "panuveitis", - "PAPA syndrome", - "papillary adenocarcinoma", - "papillary adenofibroma", - "papillary adenoma", - "papillary carcinoma", - "papillary conjunctivitis", - "papillary craniopharyngioma", - "papillary cystadenocarcinoma", - "papillary ependymoma", - "papillary extrahepatic bile duct adenocarcinoma", - "papillary follicular thyroid adenocarcinoma", - "papillary hidradenoma", - "papillary meningioma of the cerebellum", - "papillary pattern testicular yolk sac tumor", - "papillary renal cell carcinoma", - "papillary serous adenocarcinoma", - "papillary squamous carcinoma", - "papillary thymic adenocarcinoma", - "papillary transitional carcinoma", - "papilledema", - "papilloma", - "Papillon-Lefevre disease", - "parachordoma", - "paracoccidioidomycosis", - "paraganglioma", - "paragonimiasis", - "paralytic ileus", - "paralytic lagophthalmos", - "paralytic poliomyelitis", - "paralytic squint", - "parameningeal embryonal rhabdomyosarcoma", - "parametritis", - "parametrium malignant neoplasm", - "paramyotonia congenita of Von Eulenburg", - "paranasal sinus cancer", - "paranasal sinus disease", - "paranasal sinus lymphoma", - "paranasal sinus neoplasm", - "paranasal sinus sarcoma", - "paraneoplastic polyneuropathy", - "paranoid personality disorder", - "paranoid schizophrenia", - "parapharyngeal meningioma", - "paraphilia disorder", - "paraphimosis", - "paraplegia", - "parapsoriasis", - "parasagittal meningioma", - "parasitic conjunctivitis", - "parasitic ectoparasitic infectious disease", - "parasitic eyelid infestation", - "parasitic helminthiasis infectious disease", - "parasitic Ichthyosporea infectious disease", - "parasitic infectious disease", - "parasitic protozoa infectious disease", - "parastremmatic dwarfism", - "paratesticular lipoma", - "parathyroid adenoma", - "parathyroid carcinoma", - "parathyroid gland benign neoplasm", - "parathyroid gland disease", - "parathyroid oncocytic adenoma", - "parathyroid transitional clear cell adenoma", - "paratyphoid fever", - "paraurethral gland cancer", - "paraurethral gland neoplasm", - "parenchymatous neurosyphilis", - "parietal foramina", - "parietal lobe ependymoma", - "parietal lobe neoplasm", - "Parkinson's disease", - "Parkinson's disease 1", - "Parkinson's disease 14", - "Parkinson's disease 15", - "Parkinson's disease 17", - "Parkinson's disease 19A", - "Parkinson's disease 2", - "Parkinson's disease 20", - "Parkinson's disease 21", - "Parkinson's disease 22", - "Parkinson's disease 23", - "Parkinson's disease 3", - "Parkinson's disease 4", - "Parkinson's disease 6", - "Parkinson's disease 7", - "Parkinson's disease 8", - "paronychia", - "parotid disease", - "parotid gland adenoid cystic carcinoma", - "parotid gland cancer", - "parotitis", - "parovarian cyst", - "paroxysmal extreme pain disorder", - "paroxysmal nocturnal hemoglobinuria", - "paroxysmal nonkinesigenic dyskinesia 1", - "paroxysmal nonkinesigenic dyskinesia 2", - "pars planitis", - "parthenolide allergic contact dermatitis", - "partial arterial retinal occlusion", - "partial central choroid dystrophy", - "partial circumpapillary choroid dystrophy", - "partial cryptophthalmia", - "partial fetal alcohol syndrome", - "partial lipodystrophy", - "partial motor epilepsy", - "partial of retinal vein occlusion", - "partial optic atrophy", - "partial sensory epilepsy", - "partial third-nerve palsy", - "partial trisomy distal 4q", - "Partington syndrome", - "pasteurellosis", - "Patau syndrome", - "patellar tendinitis", - "patellofemoral pain syndrome", - "patent blue V allergy", - "patent ductus arteriosus", - "patent foramen ovale", - "pathologic nystagmus", - "pathological gambling", - "patterned macular dystrophy", - "patterned macular dystrophy 1", - "patterned macular dystrophy 2", - "patterned macular dystrophy 3", - "patulous eustachian tube", - "PCWH syndrome", - "peach allergy", - "peanut allergy", - "Pearson syndrome", - "pediatric angiosarcoma", - "pediatric cerebral ependymoblastoma", - "pediatric CNS choriocarcinoma", - "pediatric CNS embryonal cell carcinoma", - "pediatric ependymoma", - "pediatric epithelioid sarcoma", - "pediatric extraocular retinoblastoma", - "pediatric fibrosarcoma", - "pediatric germ cell cancer", - "pediatric hepatocellular carcinoma", - "pediatric infratentorial ependymoblastoma", - "pediatric infratentorial ependymoma", - "pediatric intraocular retinoblastoma", - "pediatric leptomeningeal melanoma", - "pediatric liposarcoma", - "pediatric lymphoma", - "pediatric meningioma", - "pediatric mesenchymal chondrosarcoma", - "pediatric myxoid chondrosarcoma", - "pediatric osteosarcoma", - "pediatric ovarian dysgerminoma", - "pediatric ovarian germ cell tumor", - "pediatric supratentorial ependymoma", - "pediatric testicular germ cell tumor", - "Pediculus humanus capitis infestation", - "Pediculus humanus corporis infestation", - "pedophilia", - "peeling skin syndrome", - "PEHO syndrome", - "Pelger-Huet anomaly", - "peliosis hepatis", - "Pelizaeus-Merzbacher disease", - "pellagra", - "pelvic inflammatory disease", - "pelvic lipomatosis", - "pelvic muscle wasting", - "pelvic varices", - "pemphigoid gestationis", - "pemphigus", - "pemphigus gestationis", - "pemphigus vulgaris", - "Pendred Syndrome", - "penicillin allergy", - "penicilliosis", - "penile cancer", - "penile disease", - "penile neoplasm", - "penile urethral cancer", - "penis basal cell carcinoma", - "penis basaloid carcinoma", - "penis carcinoma", - "penis carcinoma in situ", - "penis mixed squamous cell carcinoma", - "penis non-invasive verrucous carcinoma", - "penis Paget's disease", - "penis papillary carcinoma", - "penis sarcoma", - "penis squamous cell carcinoma", - "penis verrucous carcinoma", - "pentosuria", - "peptic esophagitis", - "peptic ulcer disease", - "peptic ulcer perforation", - "perforated corneal ulcer", - "perforation of bile duct", - "periampullary adenocarcinoma", - "periampullary adenoma", - "perianal hematoma", - "perianal skin Paget's disease", - "periapical granuloma", - "periapical periodontitis", - "periarthritis", - "pericardial effusion", - "pericardial mesothelioma", - "pericardial tuberculosis", - "pericarditis", - "pericardium cancer", - "pericardium disease", - "pericardium leiomyoma", - "pericholangitis", - "perichondritis of auricle", - "pericoronitis", - "periductal breast myoepitheliosis", - "perinatal intestinal perforation", - "perinatal jaundice due to hepatocellular damage", - "perinatal necrotizing enterocolitis", - "perineocele", - "perinephritis", - "perineural angioma", - "perineurioma", - "periocular meningioma", - "periodic limb movement disorder", - "periodontal disease", - "periodontitis", - "periodontosis", - "periosteal chondrosarcoma", - "periosteal osteogenic sarcoma", - "periostitis", - "peripheral artery disease", - "peripheral degeneration of cornea", - "peripheral epithelioid sarcoma", - "peripheral focal chorioretinitis", - "peripheral nerve schwannoma", - "peripheral nerve sheath neoplasm", - "peripheral nervous system benign neoplasm", - "peripheral nervous system disease", - "peripheral nervous system ganglioneuroblastoma", - "peripheral nervous system neoplasm", - "peripheral osteosarcoma", - "peripheral retinal degeneration", - "peripheral scars of retina", - "peripheral T-cell lymphoma", - "peripheral vascular disease", - "peripheral vertigo", - "peritoneal benign neoplasm", - "peritoneal carcinoma", - "peritoneal mesothelioma", - "peritoneal serous adenocarcinoma", - "peritoneal serous papillary adenocarcinoma", - "peritoneum cancer", - "peritonitis", - "perivascular epithelioid cell tumor", - "perivascular tumor", - "periventricular leukomalacia", - "periventricular nodular heterotopia", - "Perlman syndrome", - "permanent neonatal diabetes mellitus", - "pernicious anemia", - "peroneal nerve paralysis", - "peroneal neuropathy", - "peroxisomal acyl-CoA oxidase deficiency", - "peroxisomal biogenesis disorder", - "peroxisomal disease", - "peroxisome biogenesis disorder 10A", - "peroxisome biogenesis disorder 11A", - "peroxisome biogenesis disorder 12A", - "peroxisome biogenesis disorder 13A", - "peroxisome biogenesis disorder 1A", - "peroxisome biogenesis disorder 2A", - "peroxisome biogenesis disorder 2B", - "peroxisome biogenesis disorder 3A", - "peroxisome biogenesis disorder 4A", - "peroxisome biogenesis disorder 5A", - "peroxisome biogenesis disorder 6A", - "peroxisome biogenesis disorder 7A", - "peroxisome biogenesis disorder 8A", - "Perrault syndrome", - "Perrault syndrome 6", - "Perry syndrome", - "persian gulf syndrome", - "persistent fetal circulation syndrome", - "persistent generalized lymphadenopathy", - "persistent hyperplastic primary vitreous", - "persistent Mullerian duct syndrome", - "personality disorder", - "pertussis", - "pervasive developmental disorder", - "pes anserinus tendinitis or bursitis", - "Peters anomaly", - "Peters plus syndrome", - "petroclival meningioma", - "petrositis", - "petrous apex meningioma", - "Peutz-Jeghers syndrome", - "Peyronie's disease", - "Pfeiffer syndrome", - "phacogenic glaucoma", - "phacolytic glaucoma", - "phaeohyphomycosis", - "phagocyte bactericidal dysfunction", - "phalanx chondroma", - "PHARC syndrome", - "pharyngitis", - "pharyngoconjunctival fever", - "pharynx cancer", - "pharynx carcinoma in situ", - "pharynx squamous cell carcinoma", - "Phelan-McDermid syndrome", - "phencyclidine abuse", - "phenobarbital allergy", - "phenylketonuria", - "phenytoin allergy", - "pheochromocytoma", - "PHGDH deficiency", - "philophthalmiasis", - "phimosis", - "phlebitis", - "Phlebotomus fever", - "Phlegmonous dacryocystitis", - "phlyctenulosis", - "phobic disorder", - "phonagnosia", - "phosphoribosylpyrophosphate synthetase superactivity", - "phosphorus metabolism disease", - "photoallergic dermatitis", - "photokeratitis", - "photosensitive epilepsy", - "photosensitive trichothiodystrophy", - "photosensitivity disease", - "phototoxic dermatitis", - "phthalic anhydride allergic asthma", - "phthalyl group allergy", - "phthisical cornea", - "physical disorder", - "physical urticaria", - "physiological polycythemia", - "pica disease", - "Pick's disease", - "piebaldism", - "Pierson syndrome", - "pigment dispersion syndrome", - "pigmentation disease", - "pigmented basal cell carcinoma", - "pigmented paravenous chorioretinal atrophy", - "pigmented villonodular synovitis", - "pilar sheath acanthoma", - "pilocytic astrocytoma", - "pilocytic astrocytoma of cerebellum", - "pilomatrixoma", - "pilomyxoid astrocytoma", - "pineal dysgerminoma", - "pineal gland astrocytoma", - "pineal gland cancer", - "pineal parenchymal tumor of intermediate differentiation", - "pineal region choriocarcinoma", - "pineal region germinoma", - "pineal region immature teratoma", - "pineal region mature teratoma", - "pineal region meningioma", - "pineal region teratoma", - "pineal region yolk sac tumor", - "pineoblastoma", - "pinguecula", - "pinta disease", - "piperacillin allergy", - "Pitt-Hopkins syndrome", - "Pitt-Hopkins-like syndrome 2", - "pituitary adenoma", - "pituitary apoplexy", - "pituitary cancer", - "pituitary carcinoma", - "pituitary gland benign neoplasm", - "pituitary gland disease", - "pituitary hypoplasia", - "pituitary infarct", - "pituitary stalk meningioma", - "pituitary-dependent Cushing's disease", - "pityriasis rosea", - "pityriasis rubra pilaris", - "pityriasis versicolor", - "placenta accreta", - "placenta cancer", - "placenta disease", - "placenta praevia", - "placental abruption", - "placental choriocarcinoma", - "placental insufficiency", - "placental site trophoblastic tumor", - "plague", - "plantar fascial fibromatosis", - "plantar fasciitis", - "plantar nerve lesion", - "plantar verrucous skin carcinoma", - "plantar wart", - "plasma cell leukemia", - "plasma cell neoplasm", - "plasma protein metabolism disease", - "plasmacytoid variant infiltrating bladder urothelial carcinoma", - "plasmacytoma", - "plasminogen deficiency type I", - "Plasmodium falciparum malaria", - "Plasmodium malariae malaria", - "Plasmodium ovale malaria", - "Plasmodium vivax malaria", - "platelet storage pool deficiency", - "platelet-type bleeding disorder 10", - "platelet-type bleeding disorder 11", - "platelet-type bleeding disorder 12", - "platelet-type bleeding disorder 14", - "platelet-type bleeding disorder 15", - "platelet-type bleeding disorder 16", - "platelet-type bleeding disorder 17", - "platelet-type bleeding disorder 18", - "platelet-type bleeding disorder 19", - "platelet-type bleeding disorder 20", - "platelet-type bleeding disorder 3", - "platelet-type bleeding disorder 8", - "platelet-type bleeding disorder 9", - "pleomorphic adenoma", - "pleomorphic adenoma carcinoma", - "pleomorphic carcinoma", - "pleomorphic lipoma", - "pleomorphic liposarcoma", - "pleomorphic rhabdomyosarcoma", - "pleomorphic xanthoastrocytoma", - "plethora of newborn", - "pleural cancer", - "pleural disease", - "pleural empyema", - "pleural lipoma", - "pleural tuberculosis", - "pleurisy", - "pleuropneumonia", - "pleuropulmonary blastoma", - "plexiform neurofibroma", - "plexiform schwannoma", - "plexopathy", - "Plica syndrome", - "plum allergy", - "Plummer's disease", - "pneumatosis cystoides intestinalis", - "pneumoconiosis", - "pneumoconiosis due to talc", - "pneumocystosis", - "pneumonia", - "pneumonic plague", - "pneumonic tularemia", - "pneumothorax", - "podoconiosis", - "POEMS syndrome", - "poikiloderma with neutropenia", - "Poland syndrome", - "poliomyelitis", - "pollen allergy", - "polyarteritis nodosa", - "polyclonal hypergammaglobulinemia", - "polycystic echinococcosis", - "polycystic kidney disease", - "polycystic kidney disease 1", - "polycystic kidney disease 2", - "polycystic kidney disease 3", - "polycystic kidney disease 4", - "polycystic kidney disease 5", - "polycystic liver disease", - "polycystic ovary syndrome", - "polycythemia", - "polycythemia due to hypoxia", - "polycythemia vera", - "polydactyly", - "polyembryoma of the ovary", - "polygenic disease", - "polyhydramnios", - "polymyalgia rheumatica", - "polyneuropathy", - "polyneuropathy due to drug", - "polyneuropathy in collagen vascular disease", - "Polyomavirus-associated nephropathy", - "polyp of corpus uteri", - "polyp of middle ear", - "polyradiculoneuropathy", - "polyradiculopathy", - "polyvesicular vitelline pattern ovarian yolk sac tumor", - "polyvesicular vitelline pattern testicular yolk sac tumor", - "pompholyx", - "Pontiac fever", - "pontocerebellar hypoplasia", - "pontocerebellar hypoplasia type 10", - "pontocerebellar hypoplasia type 1A", - "pontocerebellar hypoplasia type 1B", - "pontocerebellar hypoplasia type 2A", - "pontocerebellar hypoplasia type 2B", - "pontocerebellar hypoplasia type 2C", - "pontocerebellar hypoplasia type 2D", - "pontocerebellar hypoplasia type 2E", - "pontocerebellar hypoplasia type 3", - "pontocerebellar hypoplasia type 4", - "pontocerebellar hypoplasia type 5", - "pontocerebellar hypoplasia type 6", - "pontocerebellar hypoplasia type 7", - "pontocerebellar hypoplasia type 8", - "pontocerebellar hypoplasia type 9", - "popliteal pterygium syndrome", - "porencephaly", - "porokeratosis", - "porphyria", - "porphyria cutanea tarda", - "portal hypertension", - "portal vein thrombosis", - "post-cardiac arrest syndrome", - "post-surgical hypoinsulinemia", - "post-thrombotic syndrome", - "post-traumatic stress disorder", - "post-vaccinal encephalitis", - "postauricular lymphadenitis", - "postaxial acrofacial dysostosis", - "postcholecystectomy syndrome", - "postcricoid region cancer", - "postencephalitic Parkinson disease", - "posterior amorphous corneal dystrophy", - "posterior cerebral artery infarction", - "posterior corneal pigmentation", - "posterior cranial fossa meningioma", - "posterior dislocation of lens", - "posterior foramen magnum meningioma", - "posterior mediastinum cancer", - "posterior myocardial infarction", - "posterior pituitary gland neoplasm", - "posterior polar cataract", - "posterior polymorphous corneal dystrophy", - "posterior polymorphous corneal dystrophy 1", - "posterior polymorphous corneal dystrophy 2", - "posterior polymorphous corneal dystrophy 3", - "posterior scleritis", - "posterior urethra cancer", - "posterior uveal melanoma", - "posterior uveitis", - "posteroinferior myocardial infarction", - "posterolateral myocardial infarction", - "postgastrectomy syndrome", - "postgerminal center chronic lymphocytic leukemia/small lymphocytic lymphoma", - "postinflammatory pulmonary fibrosis", - "postmenopausal atrophic vaginitis", - "postpartum depression", - "postpoliomyelitis syndrome", - "postsurgical hypothyroidism", - "postural orthostatic tachycardia syndrome", - "potassium dichromate allergic contact dermatitis", - "Potocki-Lupski syndrome", - "Potocki-Shaffer syndrome", - "Potter's syndrome", - "Powassan encephalitis", - "Prader-Willi syndrome", - "pre-eclampsia", - "pre-malignant neoplasm", - "prediabetes syndrome", - "predominantly cortical thymoma", - "pregerminal center chronic lymphocytic leukemia/small lymphocytic lymphoma", - "pregnancy adenoma", - "premature ejaculation", - "premature menopause", - "premature ovarian failure", - "premenstrual tension", - "prepuce cancer", - "preretinal fibrosis", - "presbyopia", - "preterm premature rupture of the membranes", - "priapism", - "Prieto syndrome", - "primary amebic meningoencephalitis", - "primary angle-closure glaucoma", - "primary autosomal dominant microcephaly 18", - "primary autosomal recessive microcephaly", - "primary autosomal recessive microcephaly 1", - "primary autosomal recessive microcephaly 10", - "primary autosomal recessive microcephaly 11", - "primary autosomal recessive microcephaly 12", - "primary autosomal recessive microcephaly 13", - "primary autosomal recessive microcephaly 14", - "primary autosomal recessive microcephaly 15", - "primary autosomal recessive microcephaly 16", - "primary autosomal recessive microcephaly 17", - "primary autosomal recessive microcephaly 19", - "primary autosomal recessive microcephaly 2 with or without cortical malformations", - "primary autosomal recessive microcephaly 3", - "primary autosomal recessive microcephaly 4", - "primary autosomal recessive microcephaly 5", - "primary autosomal recessive microcephaly 6", - "primary autosomal recessive microcephaly 7", - "primary autosomal recessive microcephaly 8", - "primary autosomal recessive microcephaly 9", - "primary bacterial infectious disease", - "primary biliary cirrhosis", - "primary cerebellar degeneration", - "primary ciliary dyskinesia", - "primary ciliary dyskinesia 1", - "primary ciliary dyskinesia 10", - "primary ciliary dyskinesia 11", - "primary ciliary dyskinesia 12", - "primary ciliary dyskinesia 13", - "primary ciliary dyskinesia 14", - "primary ciliary dyskinesia 15", - "primary ciliary dyskinesia 16", - "primary ciliary dyskinesia 17", - "primary ciliary dyskinesia 18", - "primary ciliary dyskinesia 19", - "primary ciliary dyskinesia 2", - "primary ciliary dyskinesia 20", - "primary ciliary dyskinesia 21", - "primary ciliary dyskinesia 22", - "primary ciliary dyskinesia 23", - "primary ciliary dyskinesia 24", - "primary ciliary dyskinesia 25", - "primary ciliary dyskinesia 26", - "primary ciliary dyskinesia 27", - "primary ciliary dyskinesia 28", - "primary ciliary dyskinesia 29", - "primary ciliary dyskinesia 3", - "primary ciliary dyskinesia 30", - "primary ciliary dyskinesia 32", - "primary ciliary dyskinesia 33", - "primary ciliary dyskinesia 34", - "primary ciliary dyskinesia 35", - "primary ciliary dyskinesia 37", - "primary ciliary dyskinesia 4", - "primary ciliary dyskinesia 5", - "primary ciliary dyskinesia 6", - "primary ciliary dyskinesia 7", - "primary ciliary dyskinesia 8", - "primary ciliary dyskinesia 9", - "primary coenzyme Q10 deficiency 1", - "primary coenzyme Q10 deficiency 2", - "primary coenzyme Q10 deficiency 3", - "primary coenzyme Q10 deficiency 4", - "primary coenzyme Q10 deficiency 5", - "primary coenzyme Q10 deficiency 6", - "primary coenzyme Q10 deficiency 7", - "primary coenzyme Q10 deficiency 8", - "primary congenital glaucoma", - "primary cutaneous amyloidosis", - "primary eye hypotony", - "primary failure of tooth eruption", - "primary hyperaldosteronism", - "primary hyperoxaluria", - "primary hyperoxaluria type 1", - "primary hyperoxaluria type 2", - "primary hyperoxaluria type 3", - "primary hyperparathyroidism", - "primary hypertrophic osteoarthropathy", - "primary hypomagnesemia", - "primary immunodeficiency disease", - "primary lacrimal atrophy", - "primary mediastinal B-cell lymphoma", - "primary microcephaly", - "primary open angle glaucoma", - "primary optic atrophy", - "primary pigmented nodular adrenocortical disease", - "primary polycythemia", - "primary progressive multiple sclerosis", - "primary pulmonary hypertension", - "primary sclerosing cholangitis", - "primary spontaneous pneumothorax", - "primary syphilis", - "primary systemic mycosis", - "primary thrombocytopenia", - "Prinzmetal angina", - "prion disease", - "proctitis", - "progeria", - "progesterone-receptor negative breast cancer", - "progesterone-receptor positive breast cancer", - "progressive bulbar palsy", - "progressive familial heart block", - "progressive familial heart block type IA", - "progressive familial heart block type IB", - "progressive familial heart block type II", - "progressive familial intrahepatic cholestasis", - "progressive familial intrahepatic cholestasis 1", - "progressive familial intrahepatic cholestasis 2", - "progressive familial intrahepatic cholestasis 3", - "progressive familial intrahepatic cholestasis 4", - "progressive familial intrahepatic cholestasis 5", - "progressive multifocal leukoencephalopathy", - "progressive muscular atrophy", - "progressive myoclonus epilepsy", - "progressive myoclonus epilepsy 10", - "progressive myoclonus epilepsy 1A", - "progressive myoclonus epilepsy 1B", - "progressive myoclonus epilepsy 3", - "progressive myoclonus epilepsy 4", - "progressive myoclonus epilepsy 6", - "progressive myoclonus epilepsy 7", - "progressive myoclonus epilepsy 8", - "progressive myoclonus epilepsy 9", - "progressive osseous heteroplasia", - "progressive peripheral pterygium", - "progressive pseudorheumatoid arthropathy of childhood", - "progressive relapsing multiple sclerosis", - "progressive supranuclear palsy", - "prolactin producing pituitary tumor", - "prolactinoma", - "prolapse of female genital organ", - "prolapse of lacrimal gland", - "prolapse of urethra", - "prolidase deficiency", - "proliferative diabetic retinopathy", - "proliferative fasciitis", - "proliferative glomerulonephritis", - "proliferative type fibrocystic change of breast", - "proliferative vasculopathy and hydranencephaly-hydrocephaly syndrome", - "prolymphocytic leukemia", - "propionic acidemia", - "proprotein convertase 1/3 deficiency", - "prosopagnosia", - "prostate adenocarcinoma", - "prostate adenoid cystic carcinoma", - "prostate angiosarcoma", - "prostate calculus", - "prostate cancer", - "prostate carcinoma", - "prostate carcinoma in situ", - "prostate colloid adenocarcinoma", - "prostate disease", - "prostate embryonal rhabdomyosarcoma", - "prostate leiomyoma", - "prostate leiomyosarcoma", - "prostate lymphoma", - "prostate malignant phyllodes tumor", - "prostate neuroendocrine neoplasm", - "prostate rhabdomyosarcoma", - "prostate sarcoma", - "prostate signet ring cell adenocarcinoma", - "prostate small cell carcinoma", - "prostate squamous cell carcinoma", - "prostate stromal sarcoma", - "prostate transitional cell carcinoma", - "prostatic acinar adenocarcinoma", - "prostatic adenoma", - "prostatic cyst", - "prostatic hypertrophy", - "prostatic urethra urothelial carcinoma", - "prostatic urethral cancer", - "prostatitis", - "prostatocystitis", - "protein C deficiency", - "protein S deficiency", - "protein-deficiency anemia", - "protein-energy malnutrition", - "protein-losing enteropathy", - "proteinuria", - "Proteus syndrome", - "prothrombin deficiency", - "protoplasmic astrocytoma", - "protozoal dysentery", - "proximal symphalangism", - "prune belly syndrome", - "psammomatous meningioma", - "PSAT deficiency", - "pseudo-Hurler polydystrophy", - "pseudo-TORCH syndrome 1", - "pseudoachondroplasia", - "pseudobulbar palsy", - "pseudoglandular variant testicular seminoma", - "pseudohermaphroditism", - "pseudohypoaldosteronism", - "pseudohypoparathyroidism", - "pseudohypoparathyroidism type IB", - "pseudomembranous conjunctivitis", - "pseudomyxoma peritonei", - "pseudopapilledema", - "pseudopseudohypoparathyroidism", - "pseudopterygium", - "pseudoretinitis pigmentosa", - "pseudosarcomatous fibromatosis", - "pseudotumor cerebri", - "pseudovascular skin squamous cell carcinoma", - "pseudoxanthoma elasticum", - "psoriasis", - "psoriasis 1", - "psoriasis 10", - "psoriasis 11", - "psoriasis 12", - "psoriasis 13", - "psoriasis 15", - "psoriasis 2", - "psoriasis 3", - "psoriasis 4", - "psoriasis 5", - "psoriasis 6", - "psoriasis 7", - "psoriasis 8", - "psoriasis 9", - "psoriatic arthritis", - "PSPH deficiency", - "psychologic dyspareunia", - "psychologic vaginismus", - "psychosexual disorder", - "psychotic disorder", - "PTEN hamartoma tumor syndrome", - "pterygium", - "Pthirus pubis infestation", - "ptosis", - "puerperal pulmonary embolism", - "pulmonary adenocarcinoma in situ", - "pulmonary alveolar microlithiasis", - "pulmonary alveolar proteinosis", - "pulmonary artery choriocarcinoma", - "pulmonary artery disease", - "pulmonary artery leiomyosarcoma", - "pulmonary aspergilloma", - "pulmonary blastoma", - "pulmonary coin lesion", - "pulmonary edema", - "pulmonary embolism", - "pulmonary embolism and infarction", - "pulmonary emphysema", - "pulmonary eosinophilia", - "pulmonary fibrosis", - "pulmonary hemosiderosis", - "pulmonary hypertension", - "pulmonary immaturity", - "pulmonary large cell neuroendocrine carcinoma", - "pulmonary neuroendocrine tumor", - "pulmonary plasma cell granuloma", - "pulmonary sarcoidosis", - "pulmonary sclerosing hemangioma", - "pulmonary subvalvular stenosis", - "pulmonary systemic sclerosis", - "pulmonary tuberculosis", - "pulmonary type ovarian small cell carcinoma", - "pulmonary valve disease", - "pulmonary valve insufficiency", - "pulmonary valve stenosis", - "pulmonary vein leiomyosarcoma", - "pulmonary venoocclusive disease", - "pulp degeneration", - "pulp erosion", - "pulpitis", - "pulsating exophthalmos", - "punctate epithelial keratoconjunctivitis", - "punctate palmoplantar keratoderma", - "punctate palmoplantar keratoderma type 1A", - "punctate palmoplantar keratoderma type II", - "punctate palmoplantar keratoderma type III", - "pupil disease", - "pure hair and nail ectodermal dysplasia", - "pure red-cell aplasia", - "purine nucleoside phosphorylase deficiency", - "purine-pyrimidine metabolic disorder", - "purpura", - "purpura fulminans", - "purulent acute otitis media", - "purulent endophthalmitis", - "purulent labyrinthitis", - "pustular psoriasis 14", - "pustulosis of palm and sole", - "pycnodysostosis", - "pyelitis", - "pyelonephritis", - "pyeloureteritis cystica", - "pyloric antrum cancer", - "pyloric stenosis", - "pylorospasm", - "pylorus cancer", - "pyoderma", - "pyoderma gangrenosum", - "pyometritis", - "pyomyositis", - "pyosalpinx", - "pyoureter", - "pyridoxamine 5'-phosphate oxidase deficiency", - "pyridoxine deficiency anemia", - "pyridoxine-responsive sideroblastic anemia", - "pyriform sinus cancer", - "pyrimidine metabolic disorder", - "pyromania", - "pyruvate carboxylase deficiency disease", - "pyruvate decarboxylase deficiency", - "pyruvate kinase deficiency of red cells", - "pyuria", - "Q fever", - "Qazi Markouizos syndrome", - "quadriplegia", - "qualitative platelet defect", - "Quebec platelet disorder", - "Queensland tick typhus", - "quinidine allergy", - "rabies", - "radial nerve lesion", - "radial neuropathy", - "radiation cystitis", - "radiculopathy", - "radioulnar synostosis", - "rainbow trout allergy", - "ranitidine allergy", - "rapadilino syndrome", - "rapidly progressive glomerulonephritis", - "Rapp-Hodgkin syndrome", - "Raynaud disease", - "reactive arthritis", - "reactive cutaneous fibrous lesion", - "reading disorder", - "recessive dystrophic epidermolysis bullosa", - "recombinase activating gene 1 deficiency", - "recombinase activating gene 2 deficiency", - "rectal cloacogenic carcinoma", - "rectal disease", - "rectal prolapse", - "rectosigmoid cancer", - "rectosigmoid junction cancer", - "rectosigmoid junction neoplasm", - "rectum adenocarcinoma", - "rectum adenoma", - "rectum cancer", - "rectum carcinoma in situ", - "rectum Kaposi's sarcoma", - "rectum leiomyoma", - "rectum leiomyosarcoma", - "rectum lymphoma", - "rectum malignant melanoma", - "rectum mucinous adenocarcinoma", - "rectum neuroendocrine neoplasm", - "rectum rhabdomyosarcoma", - "rectum sarcoma", - "rectum sarcomatoid carcinoma", - "rectum signet ring adenocarcinoma", - "rectum squamous cell carcinoma", - "recurrent corneal erosion", - "recurrent hypersomnia", - "red color blindness", - "red-green color blindness", - "reducing body myopathy", - "reflex epilepsy", - "reflex sympathetic dystrophy", - "refractive error", - "refractory hairy cell leukemia", - "refractory hematologic cancer", - "refractory plasma cell neoplasm", - "refractory T lymphoblastic leukemia/lymphoma", - "Refsum disease", - "regional ureteric cancer", - "regular astigmatism", - "Reis-Bucklers corneal dystrophy", - "relapsed/refractory diffuse large B-cell lymphoma", - "relapsing fever", - "relapsing polychondritis", - "relapsing-remitting multiple sclerosis", - "REM sleep behavior disorder", - "remazole black respiratory allergy", - "renal adenoma", - "renal agenesis", - "renal artery atheroma", - "renal artery disease", - "renal artery obstruction", - "renal carcinoma", - "renal cell carcinoma", - "renal coloboma syndrome", - "renal fibrosis", - "renal glycosuria", - "renal hypertension", - "renal hypomagnesemia 2", - "renal hypomagnesemia 3", - "renal hypomagnesemia 4", - "renal hypomagnesemia 5 with ocular involvement", - "renal hypomagnesemia 6", - "renal hypoplasia", - "renal infectious disease", - "renal oncocytoma", - "renal osteodystrophy", - "renal pelvis adenocarcinoma", - "renal pelvis carcinoma", - "renal pelvis inverted papilloma", - "renal pelvis neoplasm", - "renal pelvis papillary tumor", - "renal pelvis squamous cell carcinoma", - "renal pelvis transitional cell carcinoma", - "renal pelvis urothelial papilloma", - "renal tuberculosis", - "renal tubular acidosis", - "renal tubular transport disease", - "renal Wilms' tumor", - "renal-hepatic-pancreatic dysplasia", - "renovascular hypertension", - "Renpenning syndrome", - "reproductive organ benign neoplasm", - "reproductive organ cancer", - "reproductive system disease", - "residual stage angle-closure glaucoma", - "residual stage corticosteroid-induced glaucoma", - "residual stage of open angle glaucoma", - "respiratory allergy", - "respiratory failure", - "respiratory syncytial virus infectious disease", - "respiratory system benign neoplasm", - "respiratory system cancer", - "respiratory system disease", - "restless legs syndrome", - "restrictive cardiomyopathy", - "restrictive cardiomyopathy 1", - "restrictive cardiomyopathy 2", - "restrictive cardiomyopathy 3", - "results_in_formation_of", - "rete ovarii adenocarcinoma", - "rete ovarii adenoma", - "rete ovarii cystadenofibroma", - "rete ovarii cystadenoma", - "rete ovarii neoplasm", - "rete testis adenocarcinoma", - "rete testis adenoma", - "rete testis neoplasm", - "reticular dysgenesis", - "reticular pattern testicular yolk sac tumor", - "reticulate acropigmentation of Kitamura", - "reticulohistiocytic granuloma", - "reticulosarcoma", - "retina lymphoma", - "retinal arterial tortuosity", - "retinal artery occlusion", - "retinal cancer", - "retinal cell cancer", - "retinal degeneration", - "retinal detachment", - "retinal disease", - "retinal drusen", - "retinal dystrophies primarily involving Bruch's membrane", - "retinal dystrophy in systemic or cerebroretinal lipidoses", - "retinal edema", - "retinal hemangioblastoma", - "retinal ischemia", - "retinal lattice degeneration", - "retinal melanoma", - "retinal microaneurysm", - "retinal perforation", - "retinal telangiectasia", - "retinal vascular disease", - "retinal vascular occlusion", - "retinal vasculitis", - "retinal vasculopathy with cerebral leukodystrophy", - "retinal vein occlusion", - "retinitis", - "retinitis pigmentosa", - "retinitis pigmentosa 1", - "retinitis pigmentosa 10", - "retinitis pigmentosa 11", - "retinitis pigmentosa 12", - "retinitis pigmentosa 13", - "retinitis pigmentosa 14", - "retinitis pigmentosa 17", - "retinitis pigmentosa 18", - "retinitis pigmentosa 19", - "retinitis pigmentosa 2", - "retinitis pigmentosa 20", - "retinitis pigmentosa 22", - "retinitis pigmentosa 23", - "retinitis pigmentosa 24", - "retinitis pigmentosa 25", - "retinitis pigmentosa 26", - "retinitis pigmentosa 27", - "retinitis pigmentosa 28", - "retinitis pigmentosa 29", - "retinitis pigmentosa 3", - "retinitis pigmentosa 30", - "retinitis pigmentosa 31", - "retinitis pigmentosa 32", - "retinitis pigmentosa 33", - "retinitis pigmentosa 34", - "retinitis pigmentosa 35", - "retinitis pigmentosa 36", - "retinitis pigmentosa 37", - "retinitis pigmentosa 38", - "retinitis pigmentosa 39", - "retinitis pigmentosa 4", - "retinitis pigmentosa 40", - "retinitis pigmentosa 41", - "retinitis pigmentosa 42", - "retinitis pigmentosa 43", - "retinitis pigmentosa 44", - "retinitis pigmentosa 45", - "retinitis pigmentosa 46", - "retinitis pigmentosa 47", - "retinitis pigmentosa 48", - "retinitis pigmentosa 49", - "retinitis pigmentosa 50", - "retinitis pigmentosa 51", - "retinitis pigmentosa 54", - "retinitis pigmentosa 55", - "retinitis pigmentosa 56", - "retinitis pigmentosa 57", - "retinitis pigmentosa 58", - "retinitis pigmentosa 59", - "retinitis pigmentosa 6", - "retinitis pigmentosa 60", - "retinitis pigmentosa 61", - "retinitis pigmentosa 62", - "retinitis pigmentosa 63", - "retinitis pigmentosa 66", - "retinitis pigmentosa 67", - "retinitis pigmentosa 68", - "retinitis pigmentosa 69", - "retinitis pigmentosa 7", - "retinitis pigmentosa 70", - "retinitis pigmentosa 71", - "retinitis pigmentosa 72", - "retinitis pigmentosa 73", - "retinitis pigmentosa 74", - "retinitis pigmentosa 75", - "retinitis pigmentosa 77", - "retinitis pigmentosa 81", - "retinitis pigmentosa 9", - "retinitis pigmentosa with or without situs inversus", - "retinitis pigmentosa Y-linked", - "retinitis pigmentosa-deafness syndrome", - "retinoblastoma", - "retinopathy of prematurity", - "retinoschisis", - "retrocochlear disease", - "retrograde amnesia", - "retromolar area cancer", - "retroperitoneal cancer", - "retroperitoneal germ cell neoplasm", - "retroperitoneal hemangiopericytoma", - "retroperitoneal leiomyosarcoma", - "retroperitoneal lymphoma", - "retroperitoneal neuroblastoma", - "retroperitoneal sarcoma", - "retroperitoneum carcinoma", - "Rett syndrome", - "Revesz syndrome", - "Reye syndrome", - "Rh deficiency syndrome", - "Rh isoimmunization", - "rhabdoid cancer", - "rhabdoid meningioma", - "rhabdomyosarcoma", - "rheumatic congestive heart failure", - "rheumatic disease", - "rheumatic fever", - "rheumatic heart disease", - "rheumatic myocarditis", - "rheumatic pulmonary valve disease", - "rheumatoid arthritis", - "rheumatoid arthritis interstitial lung disease", - "rhinitis", - "rhinoscleroma", - "rhinosporidiosis", - "rhizomelic chondrodysplasia punctata", - "rhizomelic chondrodysplasia punctata type 1", - "rhizomelic chondrodysplasia punctata type 2", - "rhizomelic chondrodysplasia punctata type 3", - "rhizomelic chondrodysplasia punctata type 5", - "riboflavin deficiency", - "Richter's syndrome", - "rickets", - "Rickettsia parkeri spotted fever", - "rickettsialpox", - "RIDDLE syndrome", - "Riedel's fibrosing thyroiditis", - "Rift Valley fever", - "right atrial isomerism", - "right bundle branch block", - "rigid spine muscular dystrophy 1", - "Riley-Day syndrome", - "ring corneal ulcer", - "ring dermoid of cornea", - "ring staphyloma", - "rippling muscle disease 1", - "rippling muscle disease 2", - "Ritscher-Schinzel syndrome", - "Ritscher-Schinzel syndrome 1", - "Ritscher-Schinzel syndrome 2", - "Ritter's disease", - "Roberts syndrome", - "Robinow syndrome", - "Rocky Mountain spotted fever", - "rocuronium allergy", - "Rolandic epilepsy-paroxysmal exercise-induced dystonia-writer's cramp syndrome", - "root caries", - "root resorption", - "rosacea", - "rosacea conjunctivitis", - "Ross River fever", - "Rothmund-Thomson syndrome", - "round ligament malignant neoplasm", - "rubella", - "rubeosis iridis", - "Rubinstein-Taybi syndrome", - "Ruijs-Aalfs syndrome", - "rumination disorder", - "sacral spinal canal and spinal cord meningioma", - "sacrum chordoma", - "SADDAN", - "Saethre-Chotzen syndrome", - "sagittal sinus thrombosis", - "Sakati-Nyhan syndrome", - "Saldino-Noonan syndrome", - "salivary gland adenoid cystic carcinoma", - "salivary gland cancer", - "salivary gland carcinoma", - "salivary gland disease", - "salmonellosis", - "salpingitis", - "salpingitis isthmica nodosa", - "salpingo-oophoritis", - "salt and pepper syndrome", - "Sandhoff disease", - "SAPHO syndrome", - "sarcocystosis", - "sarcoid meningitis", - "sarcoidosis", - "sarcoma", - "sarcomatoid basal cell carcinoma", - "sarcomatoid mesothelioma", - "sarcomatoid penile squamous cell carcinoma", - "sarcomatoid renal cell carcinoma", - "sarcomatoid squamous cell skin carcinoma", - "sarcomatoid transitional cell carcinoma", - "sarcomatoid uterine corpus endometrioid adenocarcinoma", - "sarcomatosis", - "sarcomatosis of the meninges", - "sarcomatous intrahepatic cholangiocarcinoma", - "Saul-Wilson syndrome", - "SC phocomelia syndrome", - "scabies", - "scalp dermatosis", - "scalp-ear-nipple syndrome", - "scapuloperoneal myopathy", - "scapuloperoneal spinal muscular atrophy", - "scarlet fever", - "Schaaf-Yang syndrome", - "Scheie syndrome", - "Scheuermann's disease", - "Schimke immuno-osseous dysplasia", - "schistosomiasis", - "schizoaffective disorder", - "schizoid personality disorder", - "schizophrenia", - "schizophrenia 1", - "schizophrenia 10", - "schizophrenia 11", - "schizophrenia 12", - "schizophrenia 13", - "schizophrenia 14", - "schizophrenia 15", - "schizophrenia 16", - "schizophrenia 18", - "schizophrenia 19", - "schizophrenia 2", - "schizophrenia 3", - "schizophrenia 4", - "schizophrenia 5", - "schizophrenia 6", - "schizophrenia 7", - "schizophrenia 8", - "schizophrenia 9", - "schizophreniform disorder", - "schizotypal personality disorder", - "Schmid metaphyseal chondrodysplasia", - "schneckenbecken dysplasia", - "Schneiderian carcinoma", - "Schnitzler syndrome", - "Schnyder corneal dystrophy", - "Schopf-Schulz-Passarge syndrome", - "Schuurs-Hoeijmakers Syndrome", - "Schwannian stroma-rich and stroma-poor composite ganglioneuroblastoma", - "schwannoma of jugular foramen", - "schwannoma of twelfth cranial nerve", - "schwannoma of ureter", - "Schwartz-Jampel syndrome 1", - "sciatic neuropathy", - "scimitar syndrome", - "scirrhous adenocarcinoma", - "scleral disease", - "scleral staphyloma", - "scleredema adultorum", - "scleritis", - "sclerocornea", - "scleroderma", - "scleromalacia perforans", - "scleroperikeratitis", - "sclerosing adenosis of breast", - "sclerosing breast papilloma", - "sclerosing cholangitis", - "sclerosing hemangioma", - "sclerosing hepatic carcinoma", - "sclerosing keratitis", - "sclerosing liposarcoma", - "sclerosteosis", - "sclerosteosis 1", - "sclerosteosis 2", - "scoliosis", - "scotoma", - "Scott syndrome", - "scrapie", - "screw worm infectious disease", - "scrotal angioma", - "scrotal carcinoma", - "scrotum basal cell carcinoma", - "scrotum melanoma", - "scrotum neoplasm", - "scrotum Paget's disease", - "scrotum squamous cell carcinoma", - "scrub typhus", - "scurvy", - "sea-blue histiocytosis", - "seasonal affective disorder", - "sebaceous adenocarcinoma", - "sebaceous adenoma", - "sebaceous basal cell carcinoma", - "sebaceous breast carcinoma", - "sebaceous carcinoma", - "sebaceous gland disease", - "sebaceous gland neoplasm", - "seborrheic dermatitis", - "seborrheic infantile dermatitis", - "seborrheic keratosis", - "Seckel syndrome", - "Seckel syndrome 1", - "Seckel syndrome 10", - "Seckel syndrome 2", - "Seckel syndrome 4", - "Seckel syndrome 5", - "Seckel syndrome 6", - "Seckel syndrome 7", - "Seckel syndrome 8", - "Seckel syndrome 9", - "second-degree atrioventricular block", - "secondary corneal edema", - "secondary hyperparathyroidism", - "secondary hyperparathyroidism of renal origin", - "secondary hypertension", - "secondary hypertrophic osteoarthropathy", - "secondary lacrimal atrophy", - "secondary Parkinson disease", - "secondary progressive multiple sclerosis", - "secondary syphilis", - "secondary vitreoretinal degeneration", - "secretory diarrhea", - "secretory meningioma", - "secretory uterine corpus endometrioid adenocarcinoma", - "segmental dystonia", - "selective IgA deficiency disease", - "selective IgD deficiency disease", - "selective IgE deficiency disease", - "selective IgG deficiency disease", - "selective IgM deficiency disease", - "selective immunoglobulin deficiency disease", - "selective pituitary thyroid hormone resistance", - "sella turcica neoplasm", - "semantic agnosia", - "seminal vesicle acute gonorrhea", - "seminal vesicle adenocarcinoma", - "seminal vesicle chronic gonorrhea", - "seminal vesicle cystadenoma", - "seminal vesicle tumor", - "seminoma", - "Sengers syndrome", - "senile angioma", - "Senile atrophy of choroid", - "senile cataract", - "senile degeneration of brain", - "senile ectropion", - "senile entropion", - "senile reticular retinal degeneration", - "Senior-Loken syndrome", - "sennetsu fever", - "Sensenbrenner syndrome", - "sensorineural hearing loss", - "sensory ataxic neuropathy, dysarthria, and ophthalmoparesis", - "sensory organ benign neoplasm", - "sensory peripheral neuropathy", - "sensory system cancer", - "sensory system disease", - "separation anxiety disorder", - "sepiapterin reductase deficiency", - "septal myocardial infarction", - "septic arthritis", - "septic myocarditis", - "septicemic plague", - "septooptic dysplasia", - "serine deficiency", - "serous conjunctivitis except viral", - "serous cystadenocarcinoma", - "serous glue ear", - "serous labyrinthitis", - "serous surface papilloma", - "Sertoli cell tumor", - "Sertoli cell-only syndrome", - "Sertoli-Leydig cell tumor", - "setariasis", - "severe acute respiratory syndrome", - "severe combined immunodeficiency", - "severe combined immunodeficiency with sensitivity to ionizing radiation", - "severe combined immunodeficiency, autosomal recessive, T cell-negative, B cell-negative, Nk cell-positive", - "severe combined immunodeficiency, autosomal recessive, T cell-negative, B cell-positive, Nk cell-positive", - "severe congenital neutropenia", - "severe congenital neutropenia 1", - "severe nonproliferative diabetic retinopathy", - "severe pre-eclampsia", - "sex cord-gonadal stromal tumor", - "sex cord-stromal benign neoplasm", - "sexual disorder", - "sexual dysfunction", - "sexual masochism", - "sexual sadism", - "Sezary's disease", - "Sheehan syndrome", - "shellfish allergy", - "shigellosis", - "shipyard eye", - "short bowel syndrome", - "short chain acyl-CoA dehydrogenase deficiency", - "short QT syndrome", - "SHORT syndrome", - "short-rib thoracic dysplasia 10 with or without polydactyly", - "short-rib thoracic dysplasia 11 with or without polydactyly", - "short-rib thoracic dysplasia 13 with or without polydactyly", - "short-rib thoracic dysplasia 14 with polydactyly", - "short-rib thoracic dysplasia 18 with polydactyly", - "short-rib thoracic dysplasia 19 with or without polydactyly", - "short-rib thoracic dysplasia 6 with or without polydactyly", - "short-rib thoracic dysplasia 7 with or without polydactyly", - "short-rib thoracic dysplasia 8 with or without polydactyly", - "short-rib thoracic dysplasia 9 with or without polydactyly", - "shoulder impingement syndrome", - "shrimp allergy", - "Shwachman-Diamond syndrome", - "Shwachman-Diamond type metaphyseal dysplasia", - "Shwartzman phenomenon", - "sialadenitis", - "sialolithiasis", - "sialuria", - "Siberian tick typhus", - "sick building syndrome", - "sick sinus syndrome", - "sickle cell anemia", - "sideroblastic anemia", - "sideroblastic anemia 1", - "sideroblastic anemia with B-cell immunodeficiency, periodic fevers, and developmental delay", - "siderosis", - "siderosis of eye", - "sigmoid colon cancer", - "sigmoid disease", - "sigmoid neoplasm", - "signet ring basal cell carcinoma", - "signet ring cell adenocarcinoma", - "signet ring cell intrahepatic cholangiocarcinoma", - "signet ring cell variant cervical mucinous adenocarcinoma", - "signet ring lung adenocarcinoma", - "silent myocardial infarction", - "silicosis", - "silo filler's disease", - "Silver-Russell syndrome", - "Silverman-Handmaker type dyssegmental dysplasia", - "simple chronic conjunctivitis", - "simple partial epilepsy", - "Simpson-Golabi-Behmel syndrome type 1", - "Simpson-Golabi-Behmel syndrome type 2", - "simultanagnosia", - "sinoatrial node disease", - "sinusitis", - "sitosterolemia", - "situs inversus", - "Sjogren's syndrome", - "Sjogren-Larsson syndrome", - "skeletal muscle cancer", - "skeletal muscle neoplasm", - "skeletal tuberculosis", - "Skene gland carcinoma", - "skin amelanotic melanoma", - "skin angiosarcoma", - "skin atrophy", - "skin benign neoplasm", - "skin cancer", - "skin carcinoma", - "skin carcinoma in situ", - "skin disease", - "skin epithelioid hemangioma", - "skin glomangioma", - "skin glomus tumor", - "skin granular cell tumor", - "skin hemangioma", - "skin lipoma", - "skin melanoma", - "skin meningioma", - "skin papilloma", - "skin pilomatrix carcinoma", - "skin sarcoidosis", - "skin sarcoma", - "skin squamous cell carcinoma", - "skin tag", - "skull base cancer", - "skull base chordoma", - "skull base meningioma", - "skull cancer", - "slate pneumoconiosis", - "sleep apnea", - "sleep disorder", - "sleeping sickness", - "Sly syndrome", - "SM-AHNMD", - "small bowel fibrosarcoma", - "small cell carcinoma", - "small cell osteogenic sarcoma", - "small cell sarcoma", - "small intestinal L-cell glucagon-like peptide producing tumor", - "small intestinal sarcoma", - "small intestinal vasoactive intestinal peptide producing tumor", - "small intestine adenocarcinoma", - "small intestine benign neoplasm", - "small intestine cancer", - "small intestine carcinoid neuroendocrine tumor", - "small intestine carcinoma", - "small intestine diverticulitis", - "small intestine leiomyoma", - "small intestine leiomyosarcoma", - "small intestine lymphoma", - "small intestine neuroendocrine neoplasm", - "small-cell carcinoma of the ovary of hypercalcemic type", - "smallpox", - "Smarca4-deficient sarcoma of thorax", - "Smith-Lemli-Opitz syndrome", - "Smith-Magenis syndrome", - "Smith-McCort dysplasia", - "smoldering myeloma", - "smooth muscle cancer", - "smooth muscle tumor", - "snail allergy", - "Sneddon syndrome", - "snowflake vitreoretinal degeneration", - "social emotional agnosia", - "social phobia", - "sodium aurothiomalate allergy", - "sodoku disease", - "soft palate cancer", - "soft tissue peripheral neuroepithelioma", - "solar retinopathy", - "solid adenocarcinoma with mucin production", - "solid pattern testicular yolk sac tumor", - "solitary cyst of breast", - "solitary median maxillary central incisor", - "solitary osseous plasmacytoma", - "solitary plasmacytoma of chest wall", - "somatization disorder", - "somatoform disorder", - "somatostatinoma", - "Sorsby's fundus dystrophy", - "SOST-related sclerosing bone dysplasia", - "Sotos syndrome", - "space motion sickness", - "sparganosis", - "spasmodic dystonia", - "spastic ataxia", - "spastic ataxia 1", - "spastic ataxia 2", - "spastic ataxia 3", - "spastic ataxia 4", - "spastic ataxia 5", - "spastic ataxia 7", - "spastic ataxia 8", - "spastic cerebral palsy", - "spastic diplegia", - "spastic ectropion", - "spastic entropion", - "spastic hemiplegia", - "spastic monoplegia", - "spastic quadriplegia", - "specific bursitis often of occupational origin", - "specific developmental disorder", - "specific language impairment", - "specific phobia", - "speech disorder", - "speech-language disorder-1", - "spermatic cord cancer", - "spermatic cord torsion", - "spermatocele", - "spermatocytoma", - "spermatogenic failure 1", - "spermatogenic failure 10", - "spermatogenic failure 11", - "spermatogenic failure 12", - "spermatogenic failure 13", - "spermatogenic failure 14", - "spermatogenic failure 15", - "spermatogenic failure 16", - "spermatogenic failure 17", - "spermatogenic failure 18", - "spermatogenic failure 19", - "spermatogenic failure 2", - "spermatogenic failure 20", - "spermatogenic failure 21", - "spermatogenic failure 22", - "spermatogenic failure 23", - "spermatogenic failure 3", - "spermatogenic failure 4", - "spermatogenic failure 5", - "spermatogenic failure 6", - "spermatogenic failure 7", - "spermatogenic failure 8", - "spermatogenic failure 9", - "sphenocavernous meningioma", - "sphenoid sinus inverted papilloma", - "sphenoid sinus Schneiderian papilloma", - "sphenoid sinus squamous cell carcinoma", - "sphenoid sinusitis", - "sphenoidal sinus cancer", - "sphenoidal sinus neoplasm", - "sphenoorbital meningioma", - "spheroid body myopathy", - "sphingolipidosis", - "spina bifida", - "spina bifida occulta", - "spinal accessory nerve neoplasm", - "spinal canal and spinal cord meningioma", - "spinal canal intradural extramedullary neoplasm", - "spinal cancer", - "spinal chordoma", - "spinal cord astrocytoma", - "spinal cord dermoid cyst", - "spinal cord disease", - "spinal cord ependymoma", - "spinal cord glioma", - "spinal cord intramedullary teratoma", - "spinal cord lipoma", - "spinal cord lymphoma", - "spinal cord melanoma", - "spinal cord neuroblastoma", - "spinal cord oligodendroglioma", - "spinal cord primitive neuroectodermal neoplasm", - "spinal cord sarcoma", - "spinal disease", - "spinal meninges cancer", - "spinal meningioma", - "spinal multifocal clear cell meningioma", - "spinal muscular atrophy", - "spinal muscular atrophy with lower extremity predominance", - "spinal muscular atrophy with lower extremity predominance 1", - "spinal muscular atrophy with lower extremity predominance 2A", - "spinal muscular atrophy with lower extremity predominante 2B", - "spinal muscular atrophy with progressive myoclonic epilepsy", - "spinal polio", - "spinal stenosis", - "spindle cell carcinoma", - "spindle cell hemangioma", - "spindle cell intraocular melanoma", - "spindle cell lipoma", - "spindle cell liposarcoma", - "spindle cell rhabdomyosarcoma", - "spindle cell sarcoma", - "spindle cell synovial sarcoma", - "spindle cell thymoma", - "spindle cell variant squamous cell breast carcinoma", - "spindle epithelial tumor with thymus-like differentiation tumor", - "spinocerebellar ataxia 44", - "spinocerebellar ataxia 45", - "spinocerebellar ataxia 46", - "spinocerebellar ataxia type 1", - "spinocerebellar ataxia type 1 with axonal neuropathy", - "spinocerebellar ataxia type 10", - "spinocerebellar ataxia type 11", - "spinocerebellar ataxia type 12", - "spinocerebellar ataxia type 13", - "spinocerebellar ataxia type 14", - "spinocerebellar ataxia type 15", - "spinocerebellar ataxia type 17", - "spinocerebellar ataxia type 18", - "spinocerebellar ataxia type 19/22", - "spinocerebellar ataxia type 2", - "spinocerebellar ataxia type 20", - "spinocerebellar ataxia type 21", - "spinocerebellar ataxia type 23", - "spinocerebellar ataxia type 25", - "spinocerebellar ataxia type 26", - "spinocerebellar ataxia type 27", - "spinocerebellar ataxia type 28", - "spinocerebellar ataxia type 29", - "spinocerebellar ataxia type 30", - "spinocerebellar ataxia type 31", - "spinocerebellar ataxia type 34", - "spinocerebellar ataxia type 35", - "spinocerebellar ataxia type 36", - "spinocerebellar ataxia type 37", - "spinocerebellar ataxia type 38", - "spinocerebellar ataxia type 4", - "spinocerebellar ataxia type 40", - "spinocerebellar ataxia type 5", - "spinocerebellar ataxia type 6", - "spinocerebellar ataxia type 7", - "spinocerebellar ataxia type 8", - "spiradenoma", - "spitzoid melanoma", - "spleen angiosarcoma", - "spleen cancer", - "splenic abscess", - "splenic artery aneurysm", - "splenic disease", - "splenic flexure cancer", - "splenic infarction", - "splenic manifestation of hairy cell leukemia", - "splenic manifestation of leukemia", - "splenic manifestation of prolymphocytic leukemia", - "splenic marginal zone lymphoma", - "splenic sequestration", - "splenic tuberculosis", - "split hand-foot malformation", - "split hand-foot malformation 1", - "split hand-foot malformation 1 with sensorineural hearing loss", - "split hand-foot malformation 2", - "split hand-foot malformation 3", - "split hand-foot malformation 4", - "split hand-foot malformation 5", - "split hand-foot malformation 6", - "SPOAN syndrome", - "spondylitis", - "spondyloarthropathy", - "spondylocarpotarsal synostosis syndrome", - "spondylocostal dysostosis", - "spondyloepimetaphyseal dysplasia", - "spondyloepimetaphyseal dysplasia, Genevieve-type", - "spondyloepimetaphyseal dysplasia, Missouri type", - "spondyloepimetaphyseal dysplasia, Pakistani type", - "spondyloepimetaphyseal dysplasia, Sponastrime type", - "spondyloepimetaphyseal dysplasia, Strudwick type", - "spondyloepiphyseal dysplasia congenita", - "spondyloepiphyseal dysplasia Maroteaux type", - "spondyloepiphyseal dysplasia tarda", - "spondyloepiphyseal dysplasia with congenital joint dislocations", - "spondylolisthesis", - "spondylolysis", - "spondylometaphyseal dysplasia Kozlowski type", - "spondylosis", - "spongiotic dermatitis", - "spontaneous ocular nystagmus", - "spontaneous tension pneumothorax", - "sporadic breast cancer", - "sporotrichosis", - "spotted fever", - "squamous blepharitis", - "squamous cell bile duct carcinoma", - "squamous cell carcinoma", - "squamous cell neoplasm", - "squamous cell papilloma", - "squamous cell papilloma of skin", - "squamous papillomatosis", - "St. Louis encephalitis", - "stable condition keratoconus", - "staphyloenterotoxemia", - "staphyloma posticum", - "Stargardt disease", - "status asthmaticus", - "status epilepticus", - "steatocystoma multiplex", - "stenosis of lacrimal passage", - "stenosis of lacrimal punctum", - "stenosis of lacrimal sac", - "stereotypic movement disorder", - "sternum cancer", - "sternum lymphoma", - "steroid inherited metabolic disorder", - "steroid lipomatosis", - "steroid-induced glaucoma", - "steroid-induced glaucoma - borderline", - "Stevens-Johnson syndrome", - "Stickler syndrome", - "stiff skin syndrome", - "Stiff-Person syndrome", - "STING-associated vasculopathy with onset in infancy", - "stomach cancer", - "stomach carcinoma", - "stomach carcinoma in situ", - "stomach disease", - "stomach diverticulosis", - "stomatitis", - "stone in bladder diverticulum", - "stork bite", - "Stormorken syndrome", - "strabismus", - "strawberry gallbladder", - "streptococcal meningitis", - "Streptococcus pneumonia", - "stress polycythemia", - "stress-induced childhood-onset neurodegeneration with variable ataxia and seizures", - "striated muscle rhabdoid tumor", - "striatonigral degeneration", - "strictly posterior acute myocardial infarction", - "stricture or kinking of ureter", - "stroma-dominant and stroma-poor composite ganglioneuroblastoma", - "stromal corneal pigmentation", - "stromal dystrophy", - "stromal predominant kidney Wilms' tumor", - "Stromme syndrome", - "strongyloidiasis", - "struma ovarii", - "Sturge-Weber syndrome", - "stuttering", - "subacute bacterial endocarditis", - "subacute delirium", - "subacute glomerulonephritis", - "subacute leukemia", - "subacute lymphocytic thyroiditis", - "subacute monocytic leukemia", - "subacute myeloid leukemia", - "subacute sclerosing panencephalitis", - "subacute thyroiditis", - "subareolar duct papillomatosis", - "subclavian artery aneurysm", - "subclavian steal syndrome", - "subcorneal pustular dermatosis", - "subcortical band heterotopia", - "subcutaneous mycosis", - "subdural empyema", - "subendocardial infarction acute myocardial infarction", - "subendocardial myocardial infarction", - "subependymal giant cell astrocytoma", - "subependymal glioma", - "subepithelial mucinous corneal dystrophy", - "subglottic angioma", - "subglottis cancer", - "subglottis carcinoma", - "subglottis neoplasm", - "subglottis squamous cell carcinoma", - "subglottis verrucous carcinoma", - "subleukemic leukemia", - "sublingual gland adenoid cystic carcinoma", - "sublingual gland cancer", - "submandibular adenitis", - "submandibular gland cancer", - "submandibular gland disease", - "submucosal invasive colon adenocarcinoma", - "submucous uterine fibroid", - "subserous uterine fibroid", - "substance abuse", - "substance dependence", - "substance-induced psychosis", - "substance-related disorder", - "substernal goiter", - "subungual glomus tumor", - "subvalvular aortic stenosis", - "succinic semialdehyde dehydrogenase deficiency", - "succinylcholine allergy", - "sudden infant death syndrome", - "Sugarman brachydactyly", - "sulfamethoxazole allergy", - "sulfasalazine allergy", - "sulfhemoglobinemia", - "sulfonamide allergy", - "superficial basal cell carcinoma", - "superficial keratitis", - "superficial mycosis", - "superficial urinary bladder cancer", - "superior mesenteric artery syndrome", - "superior semicircular canal dehiscence", - "superior vena cava angiosarcoma", - "superior vena cava leiomyosarcoma", - "supine hypotensive syndrome", - "suppression amblyopia", - "suppurative cholangitis", - "suppurative lymphadenitis", - "suppurative otitis media", - "suppurative periapical periodontitis", - "suppurative thyroiditis", - "suppurative uveitis", - "supraglottis cancer", - "supraglottis neoplasm", - "supraglottis squamous cell carcinoma", - "supraglottis verrucous carcinoma", - "suprasellar meningioma", - "supratentorial cancer", - "supratentorial primitive neuroectodermal tumor", - "supravalvular aortic stenosis", - "suprofen allergy", - "survival motor neuron spinal muscular atrophy", - "Sveinsson chorioretinal atrophy", - "sweat gland cancer", - "sweat gland carcinoma", - "sweat gland disease", - "sweat gland neoplasm", - "Sweeney-Cox syndrome", - "swine influenza", - "sympathetic neurilemmoma", - "sympathetic ophthalmia", - "synchronous bilateral breast carcinoma", - "synchronous multifocal osteogenic sarcoma", - "syndactyly", - "syndrome", - "syndromic intellectual disability", - "syndromic microphthalmia", - "syndromic X-linked intellectual disability", - "syndromic X-linked intellectual disability 12", - "syndromic X-linked intellectual disability 14", - "syndromic X-linked intellectual disability 17", - "syndromic X-linked intellectual disability 34", - "syndromic X-linked intellectual disability 5", - "syndromic X-linked intellectual disability 7", - "syndromic X-linked intellectual disability 94", - "syndromic X-linked intellectual disability Abidi type", - "syndromic X-linked intellectual disability Cabezas type", - "syndromic X-linked intellectual disability Chudley-Schwartz type", - "syndromic X-linked intellectual disability Claes-Jensen type", - "syndromic X-linked intellectual disability Hedera type", - "syndromic X-linked intellectual disability Lubs type", - "syndromic X-linked intellectual disability Najm type", - "syndromic X-linked intellectual disability Nascimento type", - "syndromic X-linked intellectual disability Raymond type", - "syndromic X-linked intellectual disability Shashi type", - "syndromic X-linked intellectual disability Shrimpton type", - "syndromic X-linked intellectual disability Siderius type", - "syndromic X-linked intellectual disability Snyder type", - "syndromic X-linked intellectual disability Turner type", - "syndromic X-linked intellectual disability type 10", - "syndromic X-linked mental retardation 35", - "syndromic X-linked mental retardation Hough type", - "synostosis", - "synovial angioma", - "synovial sarcoma", - "synovitis", - "synovium cancer", - "synovium neoplasm", - "synpolydactyly", - "synucleinopathy", - "syphilis", - "syphilitic encephalitis", - "syphilitic meningitis", - "syringocystadenoma papilliferum", - "syringoma", - "syringomyelia", - "systemic Epstein-Barr virus-positive T-cell lymphoma of childhood", - "systemic lupus erythematosus", - "systemic mastocytosis", - "systemic mycosis", - "systemic primary carnitine deficiency disease", - "systemic scleroderma", - "systolic heart failure", - "T cell deficiency", - "T-cell acute lymphoblastic leukemia", - "T-cell adult acute lymphocytic leukemia", - "T-cell childhood lymphoblastic lymphoma", - "T-cell immunodeficiency, congenital alopecia, and nail dystrophy", - "T-cell large granular lymphocyte leukemia", - "T-cell lymphoblastic leukemia/lymphoma", - "tabes dorsalis", - "tactile agnosia", - "tactile epilepsy", - "taeniasis", - "Takayasu's arteritis", - "tall cell variant papillary carcinoma", - "tamoxifen-related endometrial lesion", - "Tangier disease", - "tanycytic ependymoma", - "TARP syndrome", - "tarsal tunnel syndrome", - "tarsal-carpal coalition syndrome", - "tauopathy", - "Tay-Sachs disease", - "Taylor's syndrome", - "teeth hard tissue disease", - "telangiectasis", - "telangiectatic glomangioma", - "telangiectatic osteogenic sarcoma", - "telogen effluvium", - "Temple syndrome", - "temporal arteritis", - "temporal lobe epilepsy", - "temporal lobe neoplasm", - "temtamy preaxial brachydactyly syndrome", - "Temtamy syndrome", - "tendinitis", - "tendon sheath lipoma", - "tenosynovial giant cell tumor", - "tenosynovitis", - "tenosynovitis of foot and ankle", - "teratocarcinoma", - "teratoma", - "tertiary neurosyphilis", - "tertiary syphilis", - "testicular Brenner tumor", - "testicular cancer", - "testicular disease", - "testicular fibroma", - "testicular germ cell cancer", - "testicular germ cell tumor non-seminomatous", - "testicular gonadoblastoma", - "testicular granulosa cell tumor", - "testicular infarct", - "testicular leukemia", - "testicular Leydig cell tumor", - "testicular lymphoma", - "testicular malignant germ cell cancer", - "testicular monophasic choriocarcinoma", - "testicular non-seminomatous germ cell cancer", - "testicular pure germ cell tumor", - "testicular sex cord-stromal benign neoplasm", - "testicular sex cord-stromal neoplasm", - "testicular spermatocytic seminoma", - "testicular thecoma", - "testicular trophoblastic tumor", - "testicular yolk sac tumor", - "testis polyembryoma", - "testis refractory cancer", - "testis rhabdomyosarcoma", - "testis sarcoma", - "testis seminoma", - "tetanic cataract", - "tetanus", - "tetanus neonatorum", - "tethered spinal cord syndrome", - "tetrachlorophthalic anhydride allergic asthma", - "tetralogy of Fallot", - "thalamic disease", - "thalamic neoplasm", - "thalassemia", - "thanatophoric dysplasia", - "theileriasis", - "thelaziasis", - "thiamine deficiency disease", - "thiamine-responsive megaloblastic anemia syndrome", - "Thiel-Behnke corneal dystrophy", - "thiopental allergy", - "thiopurine S-methyltransferase deficiency", - "third cranial nerve disease", - "third ventricle chordoid glioma", - "third-degree atrioventricular block", - "thoracic aortic aneurysm", - "thoracic benign neoplasm", - "thoracic cancer", - "thoracic disease", - "thoracic outlet syndrome", - "thoracic spinal canal and spinal cord meningioma", - "thromboangiitis obliterans", - "thrombocytopenia", - "thrombocytopenia due to platelet alloimmunization", - "thrombocytopenia-absent radius syndrome", - "thrombocytosis", - "thrombophilia", - "thrombophlebitis", - "thrombophlebitis migrans", - "thrombosis", - "thrombotic thrombocytopenic purpura", - "thymic carcinoma", - "thymic dysplasia", - "thymoma", - "thymus adenocarcinoma", - "thymus adenosquamous carcinoma", - "thymus basaloid carcinoma", - "thymus cancer", - "thymus clear cell carcinoma", - "thymus gland disease", - "thymus large cell carcinoma", - "thymus lipoma", - "thymus lymphoma", - "thymus mucoepidermoid carcinoma", - "thymus sarcomatoid carcinoma", - "thymus small cell carcinoma", - "thymus squamous cell carcinoma", - "thyrocalcitonin secretion disease", - "thyroid adenoma", - "thyroid angiosarcoma", - "thyroid crisis", - "thyroid gland adenocarcinoma", - "thyroid gland anaplastic carcinoma", - "thyroid gland cancer", - "thyroid gland carcinoma", - "thyroid gland disease", - "thyroid gland follicular carcinoma", - "thyroid gland Hurthle cell carcinoma", - "thyroid gland medullary carcinoma", - "thyroid gland mucoepidermoid carcinoma", - "thyroid gland papillary carcinoma", - "thyroid hormone resistance syndrome", - "thyroid Hurthle cell adenoma", - "thyroid hyalinizing trabecular adenoma", - "thyroid lymphoma", - "thyroid malformation", - "thyroid sarcoma", - "thyroiditis", - "thyrotoxic exophthalmos", - "thyrotoxicosis", - "tibial adamantinoma", - "tibial collateral ligament bursitis", - "tibial muscular dystrophy", - "tibial nerve palsy", - "tibial neuropathy", - "tibialis tendinitis", - "tic disorder", - "tick infestation", - "tick paralysis", - "tick-borne encephalitis", - "tick-borne relapsing fever", - "Tietz syndrome", - "Tietze's syndrome", - "tiger prawn allergy", - "time agnosia", - "Timothy grass allergy", - "Timothy syndrome", - "tinea barbae", - "tinea capitis", - "tinea corporis", - "tinea cruris", - "tinea favosa", - "tinea imbricata", - "tinea manuum", - "tinea nigra", - "tinea pedis", - "tinea profunda", - "tinea unguium", - "Tn polyagglutination syndrome", - "tolosa-hunt syndrome", - "toluene 2,4-diisocyanate allergic asthma", - "toluene meta-diisocyanate allergic asthma", - "tomato allergy", - "tongue cancer", - "tongue carcinoma", - "tongue disease", - "tongue squamous cell carcinoma", - "tonsil cancer", - "tonsil squamous cell carcinoma", - "tonsillar fossa cancer", - "tonsillar pillar cancer", - "tonsillitis", - "tooth agenesis", - "tooth and nail syndrome", - "tooth ankylosis", - "tooth disease", - "tooth erosion", - "tooth resorption", - "topographical agnosia", - "Torrance type platyspondylic dysplasia", - "torsion dystonia 1", - "torsion dystonia 13", - "torsion dystonia 17", - "torsion dystonia 2", - "torsion dystonia 4", - "torsion dystonia 6", - "torsion dystonia 7", - "torsion dystonia with onset in infancy", - "total circumpapillary dystrophy of choroid", - "total internal ophthalmoplegia", - "total third-nerve palsy", - "Townes-Brocks syndrome", - "toxascariasis", - "toxic diffuse goiter", - "toxic encephalopathy", - "toxic labyrinthitis", - "toxic maculopathy", - "toxic megacolon", - "toxic myocarditis", - "toxic optic neuropathy", - "toxic pneumonitis", - "toxic shock syndrome", - "toxicodendron dermatitis", - "toxocariasis", - "toxoplasmosis", - "trabecular follicular adenocarcinoma", - "trachea adenoid cystic carcinoma", - "trachea carcinoma", - "trachea carcinoma in situ", - "trachea leiomyoma", - "trachea mucoepidermoid carcinoma", - "trachea sarcoma", - "trachea squamous cell carcinoma", - "tracheal calcification", - "tracheal cancer", - "tracheal disease", - "tracheal lymphoma", - "tracheal stenosis", - "tracheitis", - "tracheomalacia", - "trachoma", - "transcobalamin II deficiency", - "transient arthritis", - "transient arthropathy", - "transient bullous dermolysis of the newborn", - "transient cerebral ischemia", - "transient global amnesia", - "transient hypogammaglobulinemia", - "transient hypogammaglobulinemia of infancy", - "transient myeloproliferative syndrome", - "transient neonatal diabetes mellitus", - "transient neonatal neutropenia", - "transient neonatal thrombocytopenia", - "transient refractive change", - "transient retinal arterial occlusion", - "transient tic disorder", - "transitional cell carcinoma", - "transitional meningioma", - "transitional papilloma", - "transsexualism", - "transthyretin amyloidosis", - "transverse colon cancer", - "transvestism", - "traumatic glaucoma", - "Treacher Collins syndrome", - "trench fever", - "trichinosis", - "trichodontoosseous syndrome", - "trichohepatoenteric syndrome", - "trichohepatoenteric syndrome 1", - "trichohepatoenteric syndrome 2", - "Trichomonas tenax trichomoniasis", - "Trichomonas vaginalis trichomoniasis", - "trichomoniasis", - "trichorhinophalangeal syndrome type I", - "trichorhinophalangeal syndrome type II", - "trichorhinophalangeal syndrome type III", - "trichosporonosis", - "trichostrongyloidiasis", - "trichostrongylosis", - "trichotillomania", - "trichuriasis", - "tricuspid atresia", - "tricuspid valve disease", - "tricuspid valve insufficiency", - "tricuspid valve prolapse", - "tricuspid valve stenosis", - "trigeminal nerve disease", - "trigeminal nerve neoplasm", - "trigeminal neuralgia", - "trigonitis", - "trilateral retinoblastoma", - "trimellitic anhydride allergic asthma", - "trimethoprim allergy", - "trimethylaminuria", - "triosephosphate isomerase deficiency", - "triple-A syndrome", - "triple-receptor negative breast cancer", - "trochlear nerve disease", - "trochlear nerve neoplasm", - "trombiculiasis", - "trophoblastic neoplasm", - "tropical spastic paraparesis", - "tropical sprue", - "Troyer syndrome", - "trypanosomiasis", - "TSH producing pituitary tumor", - "tuberculoid leprosy", - "tuberculosis", - "tuberculous empyema", - "tuberculous epididymitis", - "tuberculous oophoritis", - "tuberculous peritonitis", - "tuberculous pneumothorax", - "tuberculous salpingitis", - "tuberculum sellae meningioma", - "tuberous sclerosis", - "tuberous sclerosis 1", - "tuberous sclerosis 2", - "tubocurarine allergy", - "tubular adenocarcinoma", - "tubular aggregate myopathy", - "tubular variant testicular seminoma", - "tularemia", - "tumor of exocrine pancreas", - "tungiasis", - "Turner syndrome", - "twin-to-twin transfusion syndrome", - "tympanic membrane disease", - "tympanosclerosis", - "type 1 diabetes mellitus", - "type 1 diabetes mellitus 10", - "type 1 diabetes mellitus 11", - "type 1 diabetes mellitus 12", - "type 1 diabetes mellitus 13", - "type 1 diabetes mellitus 15", - "type 1 diabetes mellitus 17", - "type 1 diabetes mellitus 18", - "type 1 diabetes mellitus 19", - "type 1 diabetes mellitus 2", - "type 1 diabetes mellitus 20", - "type 1 diabetes mellitus 21", - "type 1 diabetes mellitus 22", - "type 1 diabetes mellitus 23", - "type 1 diabetes mellitus 24", - "type 1 diabetes mellitus 3", - "type 1 diabetes mellitus 4", - "type 1 diabetes mellitus 5", - "type 1 diabetes mellitus 6", - "type 1 diabetes mellitus 7", - "type 1 diabetes mellitus 8", - "type 1 papillary adenoma of the kidney", - "type 2 diabetes mellitus", - "type 2 papillary adenoma of the kidney", - "type C thymoma", - "type I complement component 8 deficiency", - "type I Ehlers-Danlos syndrome", - "type II complement component 8 deficiency", - "type III Ehlers-Danlos syndrome", - "typhoid fever", - "typhoidal tularemia", - "typhus", - "tyrosinemia", - "tyrosinemia type I", - "tyrosinemia type II", - "tyrosinemia type III", - "ulcer of anus and rectum", - "ulcer of lower limbs", - "ulceration of vulva", - "ulcerative blepharitis", - "ulcerative colitis", - "ulcerative stomatitis", - "ulceroglandular tularemia", - "Ullrich congenital muscular dystrophy", - "ulnar nerve lesion", - "ulnar neuropathy", - "ulnar-mammary syndrome", - "umbilical hernia", - "unilateral hyperactive labyrinth", - "unilateral hypoactive labyrinth", - "unilateral retinoblastoma", - "Unverricht-Lundborg syndrome", - "upper clivus meningioma", - "upper gum cancer", - "upper lip cancer", - "upper respiratory tract disease", - "urachus cancer", - "urea cycle disorder", - "uremia", - "uremic neuropathy", - "ureter adenocarcinoma", - "ureter cancer", - "ureter carcinoma", - "ureter inverted papilloma", - "ureter leiomyoma", - "ureter small cell carcinoma", - "ureter squamous cell carcinoma", - "ureter transitional cell carcinoma", - "ureter tuberculosis", - "ureter urothelial papilloma", - "ureteral benign neoplasm", - "ureteral disease", - "ureteral lymphoma", - "ureteral obstruction", - "ureteric orifice cancer", - "ureterocele", - "ureterolithiasis", - "ureteropelvic junction obstruction", - "urethra adenocarcinoma", - "urethra cancer", - "urethra clear cell adenocarcinoma", - "urethra inverted papilloma", - "urethra leiomyoma", - "urethra squamous cell carcinoma", - "urethra transitional cell carcinoma", - "urethral benign neoplasm", - "urethral calculus", - "urethral disease", - "urethral diverticulum", - "urethral false passage", - "urethral gland abscess", - "urethral intrinsic sphincter deficiency", - "urethral obstruction", - "urethral stricture", - "urethral syndrome", - "urethral urothelial papilloma", - "urethral verrucous carcinoma", - "urethral villous adenoma", - "urethritis", - "uric acid nephrolithiasis", - "uric acid urolithiasis", - "urinary bladder anterior wall cancer", - "urinary bladder cancer", - "urinary bladder inverted papilloma", - "urinary bladder posterior wall cancer", - "urinary bladder small cell neuroendocrine carcinoma", - "urinary bladder villous adenoma", - "urinary schistosomiasis", - "urinary system benign neoplasm", - "urinary system cancer", - "urinary system disease", - "urinary tract non-invasive transitional cell neoplasm", - "urinary tract obstruction", - "urinary tract papillary transitional cell benign neoplasm", - "urofacial syndrome", - "urogenital tuberculosis", - "urolithiasis", - "urticaria", - "urticaria pigmentosa", - "Usher syndrome", - "Usher syndrome type 1", - "Usher syndrome type 1C", - "Usher syndrome type 1D", - "Usher syndrome type 1E", - "Usher syndrome type 1F", - "Usher syndrome type 1G", - "Usher syndrome type 1H", - "Usher syndrome type 1J", - "Usher syndrome type 1K", - "Usher syndrome type 2", - "Usher syndrome type 2A", - "Usher syndrome type 2C", - "Usher syndrome type 2D", - "Usher syndrome type 3", - "Usher syndrome type 3A", - "Usher syndrome type 3B", - "uterine adnexa cancer", - "uterine benign neoplasm", - "uterine body mixed cancer", - "uterine cancer", - "uterine carcinosarcoma", - "uterine cervix leukoplakia", - "uterine corpus adenocarcinofibroma", - "uterine corpus adenofibroma", - "uterine corpus adenomatoid tumor", - "uterine corpus adenosarcoma", - "uterine corpus apoplectic leiomyoma", - "uterine corpus atypical polypoid adenomyoma", - "uterine corpus bizarre leiomyoma", - "uterine corpus cancer", - "uterine corpus cellular leiomyoma", - "uterine corpus choriocarcinoma", - "uterine corpus diffuse leiomyomatosis", - "uterine corpus dissecting leiomyoma", - "uterine corpus endometrial carcinoma", - "uterine corpus endometrial stromal sarcoma", - "uterine corpus epithelioid leiomyoma", - "uterine corpus epithelioid leiomyosarcoma", - "uterine corpus leiomyomatosis", - "uterine corpus lipoleiomyoma", - "uterine corpus myxoid leiomyoma", - "uterine corpus myxoid leiomyosarcoma", - "uterine corpus sarcoma", - "uterine disease", - "uterine fibroid", - "uterine inflammatory disease", - "uterine inversion", - "uterine ligament adenocarcinoma", - "uterine ligament cancer", - "uterine ligament clear cell adenocarcinoma", - "uterine ligament endometrioid adenocarcinoma", - "uterine ligament mucinous adenocarcinoma", - "uterine ligament papillary cystadenoma associated with von Hippel-Lindau disease", - "uterine ligament serous adenocarcinoma", - "uterus carcinoma in situ", - "uterus interstitial leiomyoma", - "uterus intravascular leiomyomatosis", - "uterus leiomyosarcoma", - "uterus perivascular epithelioid cell tumor", - "UV-sensitive syndrome", - "uveal cancer", - "uveal coloboma-cleft lip and palate-intellectual disability", - "uveal disease", - "uveal epithelioid cell melanoma", - "uveal melanoma", - "uveitis", - "uveoparotid fever", - "uvula cancer", - "uvulitis", - "vaccinia", - "VACTERL association", - "vagina botryoid rhabdomyosarcoma", - "vagina leiomyoma", - "vagina leiomyosarcoma", - "vagina sarcoma", - "vaginal adenoma", - "vaginal adenosarcoma", - "vaginal benign neoplasm", - "vaginal cancer", - "vaginal carcinoma", - "vaginal carcinosarcoma", - "vaginal discharge", - "vaginal disease", - "vaginal endometrial stromal sarcoma", - "vaginal endometrial stromal tumor", - "vaginal glandular tumor", - "vaginal Mullerian papilloma", - "vaginal spindle cell epithelioma", - "vaginal squamous papilloma", - "vaginal squamous tumor", - "vaginal tubular adenoma", - "vaginal tubulovillous adenoma", - "vaginal villous adenoma", - "vaginal yolk sac tumor", - "vaginitis", - "Vagus nerve disease", - "vagus nerve neoplasm", - "vallecula cancer", - "Van den Ende-Gupta syndrome", - "Van der Woude syndrome", - "Van Maldergem syndrome", - "Van Maldergem syndrome 1", - "Van Maldergem syndrome 2", - "variable age at onset electroclinical syndrome", - "variant Creutzfeldt-Jakob disease", - "varicocele", - "varicose veins", - "variegate porphyria", - "variola major", - "variola minor", - "vascular cancer", - "vascular dementia", - "vascular disease", - "vascular hemostatic disease", - "vascular myelopathy", - "vascular skin disease", - "vasculitis", - "vasculogenic impotence", - "vasomotor rhinitis", - "vegetable allergy", - "vein disease", - "velocardiofacial syndrome", - "Venezuelan equine encephalitis", - "Venezuelan hemorrhagic fever", - "venous hemangioma", - "venous insufficiency", - "venous tributary occlusion of retina", - "ventilation pneumonitis", - "ventricular septal defect", - "ventriculomegaly - cystic kidney disease", - "verbal auditory agnosia", - "vernal conjunctivitis", - "verruciform xanthoma of skin", - "verrucous carcinoma", - "verrucous keratotic hemangioma", - "verrucous papilloma", - "vertebral anomalies and variable endocrine and T-cell dysfunction", - "vertebral artery insufficiency", - "vertebral artery occlusion", - "vertebrobasilar insufficiency", - "very long chain acyl-CoA dehydrogenase deficiency", - "vesicoureteral reflux", - "vesiculitis", - "vesiculobullous skin disease", - "vestibular disease", - "vestibular gland benign neoplasm", - "vestibular neuronitis", - "vestibular nystagmus", - "vestibule of mouth cancer", - "vestibulocochlear nerve disease", - "vibratory urticaria", - "Vici syndrome", - "villoglandular endometrial endometrioid adenocarcinoma", - "villoglandular variant cervical mucinous adenocarcinoma", - "villonodular synovitis", - "villous adenocarcinoma", - "villous adenoma", - "VIPoma", - "viral encephalitis", - "viral esophagitis", - "viral exanthem", - "viral gastritis", - "viral hepatitis", - "viral infectious disease", - "viral labyrinthitis", - "viral laryngitis", - "viral meningitis", - "viral pneumonia", - "visceral heterotaxy", - "visceral leishmaniasis", - "visual agnosia", - "visual cortex disease", - "visual epilepsy", - "visual impairment and progressive phthisis bulbi", - "visual pathway disease", - "visual verbal agnosia", - "vitamin B12 deficiency", - "vitamin K deficiency bleeding", - "vitamin metabolic disorder", - "vitelliform macular dystrophy", - "vitiligo", - "vitreoretinal dystrophy", - "vitreous abscess", - "vitreous detachment", - "vitreous disease", - "vitreous syneresis", - "Vogt-Koyanagi-Harada disease", - "Vohwinkel syndrome", - "Volkmann contracture", - "von Economo's disease", - "von Hippel-Lindau disease", - "von Willebrand's disease", - "von Willebrand's disease 1", - "von Willebrand's disease 2", - "von Willebrand's disease 3", - "voyeurism", - "vulva adenocarcinoma", - "vulva basal cell carcinoma", - "vulva cancer", - "vulva carcinoma", - "vulva fibroepithelial polyp", - "vulva squamous cell carcinoma", - "vulva verrucous carcinoma", - "vulval Paget's disease", - "vulvar alveolar soft part sarcoma", - "vulvar angiokeratoma", - "vulvar apocrine adenocarcinoma", - "vulvar basaloid squamous cell carcinoma", - "vulvar benign neoplasm", - "vulvar childhood botryoid-type embryonal rhabdomyosarcoma", - "vulvar clear cell hidradenocarcinoma", - "vulvar disease", - "vulvar dystrophy", - "vulvar eccrine adenocarcinoma", - "vulvar eccrine porocarcinoma", - "vulvar glandular tumor", - "vulvar granular cell tumor", - "vulvar inverted follicular keratosis", - "vulvar keratinizing squamous cell carcinoma", - "vulvar keratoacanthoma-like carcinoma", - "vulvar leiomyoma", - "vulvar leiomyosarcoma", - "vulvar liposarcoma", - "vulvar melanoma", - "vulvar nodular hidradenoma", - "vulvar non-keratinizing squamous cell carcinoma", - "vulvar proximal-type epithelioid sarcoma", - "vulvar sarcoma", - "vulvar sebaceous carcinoma", - "vulvar seborrheic keratosis", - "vulvar squamous papilloma", - "vulvar squamous tumor", - "vulvar syringoma", - "vulvar trichoepithelioma", - "vulvitis", - "vulvovaginal candidiasis", - "vulvovaginitis", - "Waardenburg syndrome type 1", - "Waardenburg syndrome type 2A", - "Waardenburg syndrome type 2B", - "Waardenburg syndrome type 2C", - "Waardenburg syndrome type 2D", - "Waardenburg syndrome type 2E", - "Waardenburg syndrome type 3", - "Waardenburg syndrome type 4A", - "Waardenburg syndrome type 4B", - "Waardenburg syndrome type 4C", - "Waardenburg's syndrome", - "WAGR syndrome", - "Waisman syndrome", - "Waldenstroem's macroglobulinemia", - "Waldeyer's ring cancer", - "Walker-Warburg syndrome", - "Warburg micro syndrome", - "Warburg micro syndrome 1", - "Warburg micro syndrome 2", - "Warburg micro syndrome 3", - "Warburg micro syndrome 4", - "Warsaw breakage syndrome", - "water-clear cell adenoma", - "Waterhouse-Friderichsen syndrome", - "Weaver syndrome", - "Weill-Marchesani syndrome", - "Weissenbacher-Zweymuller syndrome", - "well-differentiated liposarcoma", - "Werdnig-Hoffmann disease", - "Werner syndrome", - "Wernicke encephalopathy", - "Wernicke-Korsakoff syndrome", - "West Nile encephalitis", - "West Nile fever", - "West syndrome", - "Western equine encephalitis", - "wet beriberi", - "Weyers acrofacial dysostosis", - "wheat allergy", - "WHIM syndrome", - "Whipple disease", - "white piedra", - "white shrimp allergy", - "White-Sutton syndrome", - "Whitewater Arroyo hemorrhagic fever", - "Williams-Beuren syndrome", - "Wilson disease", - "Wilson-Turner syndrome", - "Wiskott-Aldrich syndrome", - "Wissler-Fanconi syndrome", - "withdrawal disorder", - "Wolcott-Rallison syndrome", - "Wolf-Hirschhorn syndrome", - "Wolff-Parkinson-White syndrome", - "Wolffian adnexal neoplasm", - "Wolffian duct adenocarcinoma", - "Wolffian duct adenoma", - "Wolfram syndrome", - "Wolfram syndrome 1", - "Wolfram syndrome 2", - "Wolfram syndrome, mitochondrial form", - "Wolman disease", - "Worth's syndrome", - "wound botulism", - "writing disorder", - "X-linked adrenal hypoplasia congenita", - "X-linked agammaglobulinemia", - "X-linked Alport syndrome", - "X-linked amelogenesis imperfecta hypoplastic/hypomaturation 2", - "X-linked cardiac valvular dysplasia", - "X-linked chondrodysplasia punctata 1", - "X-linked chondrodysplasia punctata 2", - "X-linked chronic granulomatous disease", - "X-linked cleft palate with or without ankyloglossia", - "X-linked cone-rod dystrophy 1", - "X-linked cone-rod dystrophy 2", - "X-linked cone-rod dystrophy 3", - "X-linked congenital myopathy with fiber-type disproportion", - "X-linked deafness 1", - "X-linked deafness 2", - "X-linked deafness 3", - "X-linked deafness 4", - "X-linked deafness 5", - "X-linked deafness 6", - "X-linked deafness 7", - "X-linked dilated cardiomyopathy", - "X-linked distal spinal muscular atrophy 3", - "X-linked dominant disease", - "X-linked dominant hypophosphatemic rickets", - "X-linked dyskeratosis congenita", - "X-linked dystonia-parkinsonism", - "X-linked Emery-Dreifuss muscular dystrophy 1", - "X-linked Emery-Dreifuss muscular dystrophy 6", - "X-linked endothelial corneal dystrophy", - "X-linked exudative vitreoretinopathy 2", - "X-linked hereditary ataxia", - "X-linked hyper IgM syndrome", - "X-linked hypoparathyroidism", - "X-linked ichthyosis", - "X-linked immunodeficiency with magnesium defect, Epstein-Barr virus infection, and neoplasia", - "X-linked intellectual disability-cardiomegaly-congestive heart failure syndrome", - "X-linked intellectual disability-psychosis-macroorchidism syndrome", - "X-linked juvenile retinoschisis 1", - "X-linked lymphoproliferative syndrome 1", - "X-linked lymphoproliferative syndrome 2", - "X-linked mental retardation 106", - "X-linked mental retardation with cerebellar hypoplasia and distinctive facial appearance", - "X-linked monogenic disease", - "X-linked myopathy with excessive autophagy", - "X-linked nonsyndromic deafness", - "X-linked panhypopituitarism", - "X-linked properdin deficiency", - "X-linked recessive disease", - "X-linked recessive hypophosphatemic rickets", - "X-linked severe combined immunodeficiency", - "X-linked sideroblastic anemia with ataxia", - "X-linked spermatogenic failure 1", - "X-linked spermatogenic failure 2", - "X-linked thrombocytopenia with beta-thalassemia", - "X-linked VACTERL association", - "xanthinuria", - "xanthogranulomatous cholecystitis", - "xanthogranulomatous pyelonephritis", - "xanthomatosis", - "xeroderma of eyelid", - "xeroderma pigmentosum", - "xeroderma pigmentosum group A", - "xeroderma pigmentosum group B", - "xeroderma pigmentosum group C", - "xeroderma pigmentosum group D", - "xeroderma pigmentosum group E", - "xeroderma pigmentosum group F", - "xeroderma pigmentosum group G", - "xeroderma pigmentosum variant type", - "xerophthalmia", - "XFE progeroid syndrome", - "Xia-Gibbs Syndrome", - "Y-linked deafness", - "Y-linked deafness 1", - "Y-linked deafness 2", - "Y-linked monogenic disease", - "Y-linked spermatogenic failure 1", - "Y-linked spermatogenic failure 2", - "yaws", - "yellow fever", - "yellow nail syndrome", - "Yunis-Varon syndrome", - "zebrafish allergy", - 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SPDX-License-Identifier: Apache-2.0\n", - "\n", - "Notebook Version: 1.0\n", - "\n", - "Authors: Christie Lincoln and Samantha Piekos\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "fzHtEFrCBlq9" - }, - "source": [ - "# Overview\n", - "\n", - "This Colab tutorial exemplifies how data from the Data Commons Biomedical Knowledge Graph (DC KG) can be applied to help answer real world questions, in this case drug discovery.\n", - "\n", - "Here we will search for approved drugs for novel applications, which is sometimes referred to as drug repurposing. This is an important aspect of drug discovery because it reduces the time and resources required to deliver a treatment to a patient in need. By using drugs that are already approved, this approach eliminates phase I of clinical trials which proves the drug is safe for human use. This is especially important in the realm of rare diseases that have been overlooked by drug funding due to lack of projected profit caused by the small market pool. This reuse of approved compounds allows researchers to find treatments for those with rare disease with less upfront cost for companies to fund. \n", - "\n", - "The first aspect of drug discovery is to identify candidate compounds from a pool of human approved drugs to be used in a novel application or disease treatment. The Data Commons Biomedical Knowledge Graph (DC KG) is an ideal asset in drug discovery because it resolves many sources of compound and disease related data into one entity, ready to be queried. This notebook will focus on this computational aspect of drug discovery by analyzing drug-gene and disease-gene associations from Data Commons in order to suggest candidate molecules for treatment of a given disease.\n", - "\n", - "## Data Sources\n", - "The sources of data retreived from Data Commons in this notebook include [PharmGKB](https://www.pharmgkb.org/) (used for drug-gene associations), [Disease Ontology](https://disease-ontology.org/) (disease-gene associations), and [ChEMBL](https://www.ebi.ac.uk/chembl/) (disease-compound treatments and contraindications) for the specific queries, as well as a multitude of other sources when analyzing the highest ranked candidiate at the end of the notebook. \n", - "\n", - "Data is retreived from Data Commons via [SPARQL queries](https://docs.datacommons.org/api/python/query.html) and [get_property_values](https://docs.datacommons.org/api/python/property_value.html) from the Data Commons Python API.\n", - "\n", - "## Methods\n", - "\n", - "To find candiate compounds, starting with the name of a disease, we will:\n", - "0. Find the Data Commons ID (dcid) for the given disease, ensuring that it is in the knowledge graph. \n", - "1. Identify compounds that are known treatments or contraindications for the disease. (ChEMBL data)\n", - "2. Find the genes that are associated with the disease (Disease Ontology data).\n", - "3. Identify drugs that target each associated gene (PharmGKB data). Then, identify all gene targets for the established treatment compounds (PharmGKB data).\n", - "4. Eliminate known treatments or contraindications for the disease and separate remaining candidates into two groups: \n", - " * (a) candidate does not share a gene target with any of the treatment compounds\n", - " * (b) candidate shares a gene target with at least one treatment compound\n", - "5. Rank the candidate compounds from group (b) using an external tool called [RDKit](https://www.rdkit.org/docs/Overview.html). This tool will be used to calculate molecular similiarities between the candidates and known treatment compounds that the candidate shares a gene target with.\n", - "6. Analyze the top ranked candidate by retreiving more information about it from Data Commons.\n", - "\n", - 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)\n", - "\n", - "Note: We will be limiting gene targets to hg38 genome assembly for the sake of decreasing size of queries, however Data Commons also contains hg19." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "oYMeiPg8B7Wc" - }, - "source": [ - "# Requirements\n", - "\n", - "1. Install Data Commons\n", - "2. Install RDKit - RDKit cannot be installed with a simple pip command. The [script](https://gist.github.com/philopon/a75a33919d9ae41dbed5bc6a39f5ede2) used here was created to install RDKit in a Colab notebook." - ] - }, - { - "cell_type": "code", - "metadata": { - "cellView": "form", - "id": "zC9KWSIOuomF", - "outputId": "e16a3d29-4f93-4d35-e797-d07c72e2d56a", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "source": [ - "#@title Install Data Commons\n", - "!pip install --upgrade --quiet datacommons\n" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "\u001b[?25l\r\u001b[K |███████ | 10kB 20.8MB/s eta 0:00:01\r\u001b[K |██████████████ | 20kB 17.5MB/s eta 0:00:01\r\u001b[K |█████████████████████▏ | 30kB 13.2MB/s eta 0:00:01\r\u001b[K |████████████████████████████▏ | 40kB 9.3MB/s eta 0:00:01\r\u001b[K |████████████████████████████████| 51kB 2.5MB/s \n", - "\u001b[?25h" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "code", - "metadata": { - "cellView": "form", - "id": "wgznkj301TQC", - "outputId": "af6258fc-2187-4d63-f5b1-d975e042aa3e", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "source": [ - "#@title Install RDKit\n", - "# Install rdkit for molecular similairty calculation \n", - "# source: https://gist.github.com/philopon/a75a33919d9ae41dbed5bc6a39f5ede2\n", - "\n", - "import sys\n", - "import os\n", - "import requests\n", - "import subprocess\n", - "import shutil\n", - "from logging import getLogger, StreamHandler, INFO\n", - "\n", - "\n", - "logger = getLogger(__name__)\n", - "logger.addHandler(StreamHandler())\n", - "logger.setLevel(INFO)\n", - "\n", - "\n", - "def install(\n", - " chunk_size=4096,\n", - " file_name=\"Miniconda3-latest-Linux-x86_64.sh\",\n", - " url_base=\"https://repo.continuum.io/miniconda/\",\n", - " conda_path=os.path.expanduser(os.path.join(\"~\", \"miniconda\")),\n", - " rdkit_version=None,\n", - " add_python_path=True,\n", - " force=False):\n", - " \"\"\"install rdkit from miniconda\n", - " ```\n", - " import rdkit_installer\n", - " rdkit_installer.install()\n", - " ```\n", - " \"\"\"\n", - "\n", - " python_path = os.path.join(\n", - " conda_path,\n", - " \"lib\",\n", - " \"python{0}.{1}\".format(*sys.version_info),\n", - " \"site-packages\",\n", - " )\n", - "\n", - " if add_python_path and python_path not in sys.path:\n", - " logger.info(\"add {} to PYTHONPATH\".format(python_path))\n", - " sys.path.append(python_path)\n", - "\n", - " if os.path.isdir(os.path.join(python_path, \"rdkit\")):\n", - " logger.info(\"rdkit is already installed\")\n", - " if not force:\n", - " return\n", - "\n", - " logger.info(\"force re-install\")\n", - "\n", - " url = url_base + file_name\n", - " python_version = \"{0}.{1}.{2}\".format(*sys.version_info)\n", - "\n", - " logger.info(\"python version: {}\".format(python_version))\n", - "\n", - " if os.path.isdir(conda_path):\n", - " logger.warning(\"remove current miniconda\")\n", - " shutil.rmtree(conda_path)\n", - " elif os.path.isfile(conda_path):\n", - " logger.warning(\"remove {}\".format(conda_path))\n", - " os.remove(conda_path)\n", - "\n", - " logger.info('fetching installer from {}'.format(url))\n", - " res = requests.get(url, stream=True)\n", - " res.raise_for_status()\n", - " with open(file_name, 'wb') as f:\n", - " for chunk in res.iter_content(chunk_size):\n", - " f.write(chunk)\n", - " logger.info('done')\n", - "\n", - " logger.info('installing miniconda to {}'.format(conda_path))\n", - " subprocess.check_call([\"bash\", file_name, \"-b\", \"-p\", conda_path])\n", - " logger.info('done')\n", - "\n", - " logger.info(\"installing rdkit\")\n", - " subprocess.check_call([\n", - " os.path.join(conda_path, \"bin\", \"conda\"),\n", - " \"install\",\n", - " \"--yes\",\n", - " \"-c\", \"rdkit\",\n", - " \"python=={}\".format(python_version),\n", - " \"rdkit\" if rdkit_version is None else \"rdkit=={}\".format(rdkit_version)])\n", - " logger.info(\"done\")\n", - "\n", - " import rdkit\n", - " logger.info(\"rdkit-{} installation finished!\".format(rdkit.__version__))\n", - "\n", - "\n", - "if __name__ == \"__main__\":\n", - " install()\n", - "\n" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "add /root/miniconda/lib/python3.6/site-packages to PYTHONPATH\n", - "python version: 3.6.9\n", - "fetching installer from https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh\n", - "done\n", - "installing miniconda to /root/miniconda\n", - "done\n", - "installing rdkit\n", - "done\n", - "rdkit-2020.09.1 installation finished!\n" - ], - "name": "stderr" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "eexbk9b2q-j2" - }, - "source": [ - "# Imports\n", - "This notebook uses libraries provided by Data Commons, Pandas, and RDKit." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "hNEV-zvZrEr5" - }, - "source": [ - "# Disease Selector Widget\n", - "import ipywidgets as widgets\n", - "\n", - "# Data Commons Query \n", - "import datacommons as dc\n", - "\n", - "# RDKit Analysis and Ranking\n", - "import pandas as pd\n", - "from collections import defaultdict\n", - "from ast import literal_eval\n", - "from rdkit import DataStructs\n", - "from rdkit import Chem\n", - "from rdkit.Chem import AllChem\n", - "from rdkit.Chem import Draw" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "pTNmIWJaDBWS" - }, - "source": [ - "# Query Data Commons\n", - "In this section, we will be conducting a series of queries to Data Commons to identify candidate compounds. We will first begin by picking a disease we would like to find new treatments for. Then find the treatments and contraindications already known for the disease. We will then find all genes that are associated with the disease, then all compounds that target those identified genes. After filtering out the known treatments and contraindications, we separate these compounds into the two different groups of candidates: those that share at least one gene target with at least one treatment compound and those that do not.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "LVdkPV7Ay53a" - }, - "source": [ - "## Query Helper Functions\n", - "Below is the main function (`conduct_query`) we will use to query Data Commons with SPARQL. Throughout this tutorial, we will be conducting very large queries. To lessen the load on the Data Commons server, we will use the function below to break up our queries into smaller chunks and space them apart if an error in the server occurs." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "AgyzoTTlPKn8" - }, - "source": [ - "import time\n", - "# sets the time between a failed a query and a second attempt to 5 seconds\n", - "DELAY_TIME = 5\n", - "\n", - "# sets the maximum number of attempts of a single query to DC as 5\n", - "TRIAL_LIMIT = 5\n", - "\n", - "def recursive_query(query_str, trial_num):\n", - " \"\"\"Queries Data Commons with the given query string.\n", - "\n", - " If the query results in an error, then this function will be recursively\n", - " called after a delay of DELAY_TIME seconds until the query is resolved or the\n", - " TRIAL_LIMIT has been exceeded.\n", - "\n", - " Args:\n", - " query_str: The query to be passed to Data Commons.\n", - " trial_num: The number of times the query has been attempted.\n", - " \n", - " Returns:\n", - " The result of the query from Data Commons which is an array of dictionaries.\n", - " \n", - " Raises:\n", - " If the TRIAL_LIMIT is exceeded, then the error thrown by Data Commons is\n", - " raised.\n", - " \"\"\"\n", - " try:\n", - " return dc.query(query_str) # this is the actual query to Data Commons\n", - " except:\n", - " time.sleep(DELAY_TIME)\n", - " if trial_num < TRIAL_LIMIT:\n", - " return recursive_query(query_str, trial_num+1)\n", - " print('exceeded trial limit: ' + query_str)\n", - " raise\n", - "\n", - "def conduct_query(query_template, query_arr):\n", - " \"\"\"Generates query strings and intiates queries user helper function.\n", - " \n", - " Chunks the given array into smaller sizes and uses the given template to\n", - " create queries of manageable size for the Data Commons server. Each generated\n", - " query string is passed to the helper function recursive_query.\n", - "\n", - " Args:\n", - " query_template: The template of the query which needs to be filled in with\n", - " the given array. The template should have only one missing value\n", - " denoted with {0}.\n", - " querry_arr: The array to fill in the given template.\n", - " \n", - " Returns:\n", - " The results of the smaller queries from Data Commons concatonated into one\n", - " result array.\n", - " \"\"\"\n", - " result = []\n", - " i = 0\n", - " chunk_size = 400\n", - "\n", - " while (i+chunk_size < len(query_arr)):\n", - " query_str = query_template.format('\" \"'.join(query_arr[i:i+chunk_size]))\n", - " result.extend(recursive_query(query_str, 0))\n", - " i+= chunk_size\n", - "\n", - " query_str = query_template.format('\" \"'.join(query_arr[i:]))\n", - " print(query_str)\n", - " result.extend(recursive_query(query_str, 0))\n", - " return result" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "HvPAeUWWzNL_" - }, - "source": [ - "## Disease Query \n", - "Let's begin with the common name of a disease for which we'd like to find new candidate drugs. Here, we examine the disease denoted in `disease_name` and identify it's corresponding dcid in Data Commons. Finding the dcid ensures that the disease is in Data Commons and allows us to use it to conduct the rest of queries. The default disease used throughout this tutorial is `Crohn's disease`. \n", - "\n", - "If you would like to run the notebook with a different disease, first make a copy. Select the cell below labeled `Set Disease Name`. Click \"Runtime -> \"Run before\" from the upper left corner of the Colab notebook. Then run the selected cell. Choose the disease you would like to examine, then seclect the next cell begining with `disease_name` and in the upper left corner, click \"Runtime\" -> \"Run after\" to run all of the following cells." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "YacgDpyxcRGc", - "outputId": "323647bf-d705-44da-a800-55c17066c969", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 49, - "referenced_widgets": [ - "80bfc0c786b440e699da41246a7856a8", - "06dbee1ca8f241cc8b3a73fc6bf9b787", - "b0bfa892e5a540b09256f04f0b822cfb" - ] - } - }, - "source": [ - "#@title Set Disease Name\n", - "query_str = '''\n", - "SELECT ?name\n", - "WHERE {\n", - "?a typeOf Disease .\n", - "?a commonName ?name .\n", - "}\n", - "'''\n", - "result = dc.query(query_str)\n", - "disease_name_list = sorted([row['?name'] for row in result], key=str.lower)\n", - "disease_selector = widgets.Dropdown(options=disease_name_list, value=\"Crohn's disease\", description='Disease:')\n", - "\n", - "disease_selector" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "80bfc0c786b440e699da41246a7856a8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Dropdown(description='Disease:', index=3013, options=('1,4-phenylenediamine allergic contact dermatitis', '1-c…" - ] - }, - "metadata": { - "tags": [] - } - } - ] - }, - { - "cell_type": "code", - "metadata": { - "cellView": "both", - "id": "IC5yV7tJWiLe", - "outputId": "e41c2e03-90b7-44bc-a3a2-8700f40a0f87", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "source": [ - "disease_name = disease_selector.value\n", - "# This query finds a node in Data Commons that is of type Disease and has the \n", - "# common name of the disease we are looking for\n", - "query_str = '''\n", - "SELECT ?dcid\n", - "WHERE {{\n", - "?dcid typeOf Disease .\n", - "?dcid commonName \"{0}\" .\n", - "}}\n", - "'''.format(disease_name)\n", - "\n", - "result = dc.query(query_str)\n", - "print('query result: ' + str(result))\n", - "\n", - "disease_dcid = ''\n", - "\n", - "# Extract the dcid of the disease and save it to disease_dcid\n", - "for row in result:\n", - " disease_dcid = row['?dcid']\n", - "\n", - "print(disease_dcid)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "query result: [{'?dcid': 'bio/DOID_8778'}]\n", - "bio/DOID_8778\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "d_Eo3tIHh-qe" - }, - "source": [ - "Now that we have found the dcid of the disease, we can use it in the next few queries." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "2kkiqPEKEOcN" - }, - "source": [ - "## Treatments Query\n", - "We can examine the properties related to the disease using the `get_property_labels` DC python API function, or we can view the node in the Data Commons Graph Browser. Later on we will see how exactly the `get_property_labels` function is used. This general format for viewing a specific node in Graph Browser is: https://datacommons.org/browser/{dcid}. We will be using this to examine nodes throughout the tutorial. \n", - "\n", - "From the result above, know that the disease is in Data Commons and its dcid, so let's find all of its known treatments. For now, we can use the Graph Browser to to [view the disease](https://datacommons.org/browser/bio/DOID_8778). \n", - "\n", - "From this, we see that there is a node type called ChemicalCompoundDiseaseTreatment which pairs a disease and a compound that is known to treat it. After finding the ChemicalCompoundDiseaseTreatment nodes using a SPARQL query to Data Commons, we can use the DC [get_property_values](https://docs.datacommons.org/api/python/property_value.html) API function to find the compoundID involved in each ChemicalCompoundDiseaseTreatment node. \n", - "\n", - "We will be using this general approach of conducting SPARQL queries followed by calling get_property_values for a majority of the sections below." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "NAfZqJbBviPZ", - "outputId": "dec10e17-b1f1-4d82-a128-5da0016fd5f0", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "source": [ - "# find all ChemicalCompoundDiseaeTreatment nodes that includes the disease\n", - "query_str = '''\n", - "SELECT ?cdt_dcid\n", - "WHERE {{\n", - "?disease dcid \"{0}\" .\n", - "?cdt_dcid typeOf \tChemicalCompoundDiseaseTreatment .\n", - "?cdt_dcid diseaseID ?disease . \n", - "}}\n", - "'''.format(disease_dcid)\n", - "\n", - "result = dc.query(query_str)\n", - "print('query result: ' + str(result))\n", - "\n", - "treatment_compounds = []\n", - "\n", - "if not result:\n", - " print('no treatments found')\n", - "\n", - "else:\n", - " # extract just the dcids of the ChemicalCompoundDiseaeTreatment nodes\n", - " cdt_dcids = set() \n", - " for row in result:\n", - " cdt_dcids.add(row['?cdt_dcid'])\n", - " print('CDT dcids: ' + str(cdt_dcids))\n", - "\n", - " # Use Data Commons python API to get all of the compoundIDs from each CDT Node\n", - " compounds = dc.get_property_values(cdt_dcids, 'compoundID')\n", - " print('raw values:' + str(compounds))\n", - "\n", - " # Lets reformat this retreived data into a single list of compounds so it is\n", - " # easier to iterate through in the future\n", - " treatment_compounds = [drug for cdt, drug_list in compounds.items() for drug in drug_list ]\n", - " print('treatment compounds: ' + str(treatment_compounds))\n", - " print(len(treatment_compounds))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "query result: [{'?cdt_dcid': 'bio/CTD_CHEMBL1200751_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1401_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201587_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2109511_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL595_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL393220_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1200796_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2021430_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1535_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201438_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1536_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4297344_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL416_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL90593_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2108589_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1743068_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1743020_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL131_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1464_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL74415_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL848_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1096882_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201562_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4085457_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1743015_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL221959_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3137327_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1742995_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1370_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2109613_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL635_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3707374_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3833372_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2104987_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1743087_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2107867_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL66092_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4297331_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2178578_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4243974_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201519_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201507_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL468_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1742996_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3707247_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL6966_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201823_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL113_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL116438_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1743050_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL866_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3990014_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3990031_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1042_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1200574_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201621_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3039505_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2107779_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2108922_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3301607_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2109070_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3990029_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL444633_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1503_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL262777_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1496_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1741_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL389621_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1213492_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3989751_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201567_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201581_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL332750_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL19019_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2364648_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL704_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1237023_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL190461_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL25202_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL186141_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1542_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL671_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1169_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1292_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3137351_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201716_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201576_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL137_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4175981_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL52440_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2109606_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL384467_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL643_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1293_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4297942_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2108751_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL269732_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL846_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1200699_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201607_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1617_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4298111_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2107614_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3707383_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2109664_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4297761_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201831_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201479_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2108046_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL8_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4297477_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL106_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201580_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3622821_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201835_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL650_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL367149_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL34259_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL450940_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1201670_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4297252_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL460026_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2108811_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL1456_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2109465_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL894_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL655_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL852_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL4297643_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL2108326_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL3833374_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL930_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL98_DOID_8778'}, {'?cdt_dcid': 'bio/CTD_CHEMBL975_DOID_8778'}]\n", - "CDT dcids: {'bio/CTD_CHEMBL1542_DOID_8778', 'bio/CTD_CHEMBL90593_DOID_8778', 'bio/CTD_CHEMBL635_DOID_8778', 'bio/CTD_CHEMBL643_DOID_8778', 'bio/CTD_CHEMBL389621_DOID_8778', 'bio/CTD_CHEMBL1743068_DOID_8778', 'bio/CTD_CHEMBL2109070_DOID_8778', 'bio/CTD_CHEMBL1743020_DOID_8778', 'bio/CTD_CHEMBL1201587_DOID_8778', 'bio/CTD_CHEMBL1201567_DOID_8778', 'bio/CTD_CHEMBL116438_DOID_8778', 'bio/CTD_CHEMBL930_DOID_8778', 'bio/CTD_CHEMBL2108326_DOID_8778', 'bio/CTD_CHEMBL866_DOID_8778', 'bio/CTD_CHEMBL393220_DOID_8778', 'bio/CTD_CHEMBL671_DOID_8778', 'bio/CTD_CHEMBL2107614_DOID_8778', 'bio/CTD_CHEMBL3833374_DOID_8778', 'bio/CTD_CHEMBL113_DOID_8778', 'bio/CTD_CHEMBL8_DOID_8778', 'bio/CTD_CHEMBL2104987_DOID_8778', 'bio/CTD_CHEMBL74415_DOID_8778', 'bio/CTD_CHEMBL1742995_DOID_8778', 'bio/CTD_CHEMBL1237023_DOID_8778', 'bio/CTD_CHEMBL2109511_DOID_8778', 'bio/CTD_CHEMBL2108046_DOID_8778', 'bio/CTD_CHEMBL3990031_DOID_8778', 'bio/CTD_CHEMBL262777_DOID_8778', 'bio/CTD_CHEMBL4297252_DOID_8778', 'bio/CTD_CHEMBL1464_DOID_8778', 'bio/CTD_CHEMBL4297331_DOID_8778', 'bio/CTD_CHEMBL450940_DOID_8778', 'bio/CTD_CHEMBL4297344_DOID_8778', 'bio/CTD_CHEMBL1496_DOID_8778', 'bio/CTD_CHEMBL1742996_DOID_8778', 'bio/CTD_CHEMBL186141_DOID_8778', 'bio/CTD_CHEMBL4297761_DOID_8778', 'bio/CTD_CHEMBL1456_DOID_8778', 'bio/CTD_CHEMBL4297477_DOID_8778', 'bio/CTD_CHEMBL1201507_DOID_8778', 'bio/CTD_CHEMBL269732_DOID_8778', 'bio/CTD_CHEMBL384467_DOID_8778', 'bio/CTD_CHEMBL846_DOID_8778', 'bio/CTD_CHEMBL4175981_DOID_8778', 'bio/CTD_CHEMBL3990014_DOID_8778', 'bio/CTD_CHEMBL444633_DOID_8778', 'bio/CTD_CHEMBL1743087_DOID_8778', 'bio/CTD_CHEMBL1201581_DOID_8778', 'bio/CTD_CHEMBL1201479_DOID_8778', 'bio/CTD_CHEMBL460026_DOID_8778', 'bio/CTD_CHEMBL1096882_DOID_8778', 'bio/CTD_CHEMBL1536_DOID_8778', 'bio/CTD_CHEMBL2107779_DOID_8778', 'bio/CTD_CHEMBL367149_DOID_8778', 'bio/CTD_CHEMBL2021430_DOID_8778', 'bio/CTD_CHEMBL1201607_DOID_8778', 'bio/CTD_CHEMBL2109465_DOID_8778', 'bio/CTD_CHEMBL19019_DOID_8778', 'bio/CTD_CHEMBL3622821_DOID_8778', 'bio/CTD_CHEMBL6966_DOID_8778', 'bio/CTD_CHEMBL852_DOID_8778', 'bio/CTD_CHEMBL190461_DOID_8778', 'bio/CTD_CHEMBL3301607_DOID_8778', 'bio/CTD_CHEMBL2108751_DOID_8778', 'bio/CTD_CHEMBL1200796_DOID_8778', 'bio/CTD_CHEMBL1169_DOID_8778', 'bio/CTD_CHEMBL3137327_DOID_8778', 'bio/CTD_CHEMBL25202_DOID_8778', 'bio/CTD_CHEMBL1201438_DOID_8778', 'bio/CTD_CHEMBL3989751_DOID_8778', 'bio/CTD_CHEMBL704_DOID_8778', 'bio/CTD_CHEMBL2109606_DOID_8778', 'bio/CTD_CHEMBL1743050_DOID_8778', 'bio/CTD_CHEMBL1201716_DOID_8778', 'bio/CTD_CHEMBL4085457_DOID_8778', 'bio/CTD_CHEMBL3990029_DOID_8778', 'bio/CTD_CHEMBL3833372_DOID_8778', 'bio/CTD_CHEMBL2178578_DOID_8778', 'bio/CTD_CHEMBL131_DOID_8778', 'bio/CTD_CHEMBL3707374_DOID_8778', 'bio/CTD_CHEMBL3137351_DOID_8778', 'bio/CTD_CHEMBL98_DOID_8778', 'bio/CTD_CHEMBL848_DOID_8778', 'bio/CTD_CHEMBL3707247_DOID_8778', 'bio/CTD_CHEMBL4297942_DOID_8778', 'bio/CTD_CHEMBL1617_DOID_8778', 'bio/CTD_CHEMBL1201580_DOID_8778', 'bio/CTD_CHEMBL1200574_DOID_8778', 'bio/CTD_CHEMBL1201835_DOID_8778', 'bio/CTD_CHEMBL595_DOID_8778', 'bio/CTD_CHEMBL2109664_DOID_8778', 'bio/CTD_CHEMBL4243974_DOID_8778', 'bio/CTD_CHEMBL975_DOID_8778', 'bio/CTD_CHEMBL1201562_DOID_8778', 'bio/CTD_CHEMBL1743015_DOID_8778', 'bio/CTD_CHEMBL2364648_DOID_8778', 'bio/CTD_CHEMBL1201519_DOID_8778', 'bio/CTD_CHEMBL52440_DOID_8778', 'bio/CTD_CHEMBL1201823_DOID_8778', 'bio/CTD_CHEMBL106_DOID_8778', 'bio/CTD_CHEMBL650_DOID_8778', 'bio/CTD_CHEMBL221959_DOID_8778', 'bio/CTD_CHEMBL1200751_DOID_8778', 'bio/CTD_CHEMBL3039505_DOID_8778', 'bio/CTD_CHEMBL2108922_DOID_8778', 'bio/CTD_CHEMBL1741_DOID_8778', 'bio/CTD_CHEMBL4297643_DOID_8778', 'bio/CTD_CHEMBL1292_DOID_8778', 'bio/CTD_CHEMBL1201670_DOID_8778', 'bio/CTD_CHEMBL416_DOID_8778', 'bio/CTD_CHEMBL1042_DOID_8778', 'bio/CTD_CHEMBL468_DOID_8778', 'bio/CTD_CHEMBL1503_DOID_8778', 'bio/CTD_CHEMBL2107867_DOID_8778', 'bio/CTD_CHEMBL4298111_DOID_8778', 'bio/CTD_CHEMBL3707383_DOID_8778', 'bio/CTD_CHEMBL1201576_DOID_8778', 'bio/CTD_CHEMBL2108589_DOID_8778', 'bio/CTD_CHEMBL1201831_DOID_8778', 'bio/CTD_CHEMBL1401_DOID_8778', 'bio/CTD_CHEMBL137_DOID_8778', 'bio/CTD_CHEMBL332750_DOID_8778', 'bio/CTD_CHEMBL1293_DOID_8778', 'bio/CTD_CHEMBL1213492_DOID_8778', 'bio/CTD_CHEMBL2109613_DOID_8778', 'bio/CTD_CHEMBL34259_DOID_8778', 'bio/CTD_CHEMBL1535_DOID_8778', 'bio/CTD_CHEMBL1200699_DOID_8778', 'bio/CTD_CHEMBL894_DOID_8778', 'bio/CTD_CHEMBL2108811_DOID_8778', 'bio/CTD_CHEMBL655_DOID_8778', 'bio/CTD_CHEMBL66092_DOID_8778', 'bio/CTD_CHEMBL1201621_DOID_8778', 'bio/CTD_CHEMBL1370_DOID_8778'}\n", - "raw values:{'bio/CTD_CHEMBL1542_DOID_8778': ['bio/CHEMBL1542'], 'bio/CTD_CHEMBL90593_DOID_8778': ['bio/CHEMBL90593'], 'bio/CTD_CHEMBL635_DOID_8778': ['bio/CHEMBL635'], 'bio/CTD_CHEMBL643_DOID_8778': ['bio/CHEMBL643'], 'bio/CTD_CHEMBL389621_DOID_8778': ['bio/CHEMBL389621'], 'bio/CTD_CHEMBL1743068_DOID_8778': ['bio/CHEMBL1743068'], 'bio/CTD_CHEMBL2109070_DOID_8778': ['bio/CHEMBL2109070'], 'bio/CTD_CHEMBL1743020_DOID_8778': ['bio/CHEMBL1743020'], 'bio/CTD_CHEMBL1201587_DOID_8778': ['bio/CHEMBL1201587'], 'bio/CTD_CHEMBL1201567_DOID_8778': ['bio/CHEMBL1201567'], 'bio/CTD_CHEMBL116438_DOID_8778': ['bio/CHEMBL116438'], 'bio/CTD_CHEMBL930_DOID_8778': ['bio/CHEMBL930'], 'bio/CTD_CHEMBL2108326_DOID_8778': ['bio/CHEMBL2108326'], 'bio/CTD_CHEMBL866_DOID_8778': ['bio/CHEMBL866'], 'bio/CTD_CHEMBL393220_DOID_8778': ['bio/CHEMBL393220'], 'bio/CTD_CHEMBL671_DOID_8778': ['bio/CHEMBL671'], 'bio/CTD_CHEMBL2107614_DOID_8778': ['bio/CHEMBL2107614'], 'bio/CTD_CHEMBL3833374_DOID_8778': ['bio/CHEMBL3833374'], 'bio/CTD_CHEMBL113_DOID_8778': ['bio/CHEMBL113'], 'bio/CTD_CHEMBL8_DOID_8778': ['bio/CHEMBL8'], 'bio/CTD_CHEMBL2104987_DOID_8778': ['bio/CHEMBL2104987'], 'bio/CTD_CHEMBL74415_DOID_8778': ['bio/CHEMBL74415'], 'bio/CTD_CHEMBL1742995_DOID_8778': ['bio/CHEMBL1742995'], 'bio/CTD_CHEMBL1237023_DOID_8778': ['bio/CHEMBL1237023'], 'bio/CTD_CHEMBL2109511_DOID_8778': ['bio/CHEMBL2109511'], 'bio/CTD_CHEMBL2108046_DOID_8778': ['bio/CHEMBL2108046'], 'bio/CTD_CHEMBL3990031_DOID_8778': ['bio/CHEMBL3990031'], 'bio/CTD_CHEMBL262777_DOID_8778': ['bio/CHEMBL262777'], 'bio/CTD_CHEMBL4297252_DOID_8778': ['bio/CHEMBL4297252'], 'bio/CTD_CHEMBL1464_DOID_8778': ['bio/CHEMBL1464'], 'bio/CTD_CHEMBL4297331_DOID_8778': ['bio/CHEMBL4297331'], 'bio/CTD_CHEMBL450940_DOID_8778': ['bio/CHEMBL450940'], 'bio/CTD_CHEMBL4297344_DOID_8778': ['bio/CHEMBL4297344'], 'bio/CTD_CHEMBL1496_DOID_8778': ['bio/CHEMBL1496'], 'bio/CTD_CHEMBL1742996_DOID_8778': ['bio/CHEMBL1742996'], 'bio/CTD_CHEMBL186141_DOID_8778': ['bio/CHEMBL186141'], 'bio/CTD_CHEMBL4297761_DOID_8778': ['bio/CHEMBL4297761'], 'bio/CTD_CHEMBL1456_DOID_8778': ['bio/CHEMBL1456'], 'bio/CTD_CHEMBL4297477_DOID_8778': ['bio/CHEMBL4297477'], 'bio/CTD_CHEMBL1201507_DOID_8778': ['bio/CHEMBL1201507'], 'bio/CTD_CHEMBL269732_DOID_8778': ['bio/CHEMBL269732'], 'bio/CTD_CHEMBL384467_DOID_8778': ['bio/CHEMBL384467'], 'bio/CTD_CHEMBL846_DOID_8778': ['bio/CHEMBL846'], 'bio/CTD_CHEMBL4175981_DOID_8778': ['bio/CHEMBL4175981'], 'bio/CTD_CHEMBL3990014_DOID_8778': ['bio/CHEMBL3990014'], 'bio/CTD_CHEMBL444633_DOID_8778': ['bio/CHEMBL444633'], 'bio/CTD_CHEMBL1743087_DOID_8778': ['bio/CHEMBL1743087'], 'bio/CTD_CHEMBL1201581_DOID_8778': ['bio/CHEMBL1201581'], 'bio/CTD_CHEMBL1201479_DOID_8778': ['bio/CHEMBL1201479'], 'bio/CTD_CHEMBL460026_DOID_8778': ['bio/CHEMBL460026'], 'bio/CTD_CHEMBL1096882_DOID_8778': ['bio/CHEMBL1096882'], 'bio/CTD_CHEMBL1536_DOID_8778': ['bio/CHEMBL1536'], 'bio/CTD_CHEMBL2107779_DOID_8778': ['bio/CHEMBL2107779'], 'bio/CTD_CHEMBL367149_DOID_8778': ['bio/CHEMBL367149'], 'bio/CTD_CHEMBL2021430_DOID_8778': ['bio/CHEMBL2021430'], 'bio/CTD_CHEMBL1201607_DOID_8778': ['bio/CHEMBL1201607'], 'bio/CTD_CHEMBL2109465_DOID_8778': ['bio/CHEMBL2109465'], 'bio/CTD_CHEMBL19019_DOID_8778': ['bio/CHEMBL19019'], 'bio/CTD_CHEMBL3622821_DOID_8778': ['bio/CHEMBL3622821'], 'bio/CTD_CHEMBL6966_DOID_8778': ['bio/CHEMBL6966'], 'bio/CTD_CHEMBL852_DOID_8778': ['bio/CHEMBL852'], 'bio/CTD_CHEMBL190461_DOID_8778': ['bio/CHEMBL190461'], 'bio/CTD_CHEMBL3301607_DOID_8778': ['bio/CHEMBL3301607'], 'bio/CTD_CHEMBL2108751_DOID_8778': ['bio/CHEMBL2108751'], 'bio/CTD_CHEMBL1200796_DOID_8778': ['bio/CHEMBL1200796'], 'bio/CTD_CHEMBL1169_DOID_8778': ['bio/CHEMBL1169'], 'bio/CTD_CHEMBL3137327_DOID_8778': ['bio/CHEMBL3137327'], 'bio/CTD_CHEMBL25202_DOID_8778': ['bio/CHEMBL25202'], 'bio/CTD_CHEMBL1201438_DOID_8778': ['bio/CHEMBL1201438'], 'bio/CTD_CHEMBL3989751_DOID_8778': ['bio/CHEMBL3989751'], 'bio/CTD_CHEMBL704_DOID_8778': ['bio/CHEMBL704'], 'bio/CTD_CHEMBL2109606_DOID_8778': ['bio/CHEMBL2109606'], 'bio/CTD_CHEMBL1743050_DOID_8778': ['bio/CHEMBL1743050'], 'bio/CTD_CHEMBL1201716_DOID_8778': ['bio/CHEMBL1201716'], 'bio/CTD_CHEMBL4085457_DOID_8778': ['bio/CHEMBL4085457'], 'bio/CTD_CHEMBL3990029_DOID_8778': ['bio/CHEMBL3990029'], 'bio/CTD_CHEMBL3833372_DOID_8778': ['bio/CHEMBL3833372'], 'bio/CTD_CHEMBL2178578_DOID_8778': ['bio/CHEMBL2178578'], 'bio/CTD_CHEMBL131_DOID_8778': ['bio/CHEMBL131'], 'bio/CTD_CHEMBL3707374_DOID_8778': ['bio/CHEMBL3707374'], 'bio/CTD_CHEMBL3137351_DOID_8778': ['bio/CHEMBL3137351'], 'bio/CTD_CHEMBL98_DOID_8778': ['bio/CHEMBL98'], 'bio/CTD_CHEMBL848_DOID_8778': ['bio/CHEMBL848'], 'bio/CTD_CHEMBL3707247_DOID_8778': ['bio/CHEMBL3707247'], 'bio/CTD_CHEMBL4297942_DOID_8778': ['bio/CHEMBL4297942'], 'bio/CTD_CHEMBL1617_DOID_8778': ['bio/CHEMBL1617'], 'bio/CTD_CHEMBL1201580_DOID_8778': ['bio/CHEMBL1201580'], 'bio/CTD_CHEMBL1200574_DOID_8778': ['bio/CHEMBL1200574'], 'bio/CTD_CHEMBL1201835_DOID_8778': ['bio/CHEMBL1201835'], 'bio/CTD_CHEMBL595_DOID_8778': ['bio/CHEMBL595'], 'bio/CTD_CHEMBL2109664_DOID_8778': ['bio/CHEMBL2109664'], 'bio/CTD_CHEMBL4243974_DOID_8778': ['bio/CHEMBL4243974'], 'bio/CTD_CHEMBL975_DOID_8778': ['bio/CHEMBL975'], 'bio/CTD_CHEMBL1201562_DOID_8778': ['bio/CHEMBL1201562'], 'bio/CTD_CHEMBL1743015_DOID_8778': ['bio/CHEMBL1743015'], 'bio/CTD_CHEMBL2364648_DOID_8778': ['bio/CHEMBL2364648'], 'bio/CTD_CHEMBL1201519_DOID_8778': ['bio/CHEMBL1201519'], 'bio/CTD_CHEMBL52440_DOID_8778': ['bio/CHEMBL52440'], 'bio/CTD_CHEMBL1201823_DOID_8778': ['bio/CHEMBL1201823'], 'bio/CTD_CHEMBL106_DOID_8778': ['bio/CHEMBL106'], 'bio/CTD_CHEMBL650_DOID_8778': ['bio/CHEMBL650'], 'bio/CTD_CHEMBL221959_DOID_8778': ['bio/CHEMBL221959'], 'bio/CTD_CHEMBL1200751_DOID_8778': ['bio/CHEMBL1200751'], 'bio/CTD_CHEMBL3039505_DOID_8778': ['bio/CHEMBL3039505'], 'bio/CTD_CHEMBL2108922_DOID_8778': ['bio/CHEMBL2108922'], 'bio/CTD_CHEMBL1741_DOID_8778': ['bio/CHEMBL1741'], 'bio/CTD_CHEMBL4297643_DOID_8778': ['bio/CHEMBL4297643'], 'bio/CTD_CHEMBL1292_DOID_8778': ['bio/CHEMBL1292'], 'bio/CTD_CHEMBL1201670_DOID_8778': ['bio/CHEMBL1201670'], 'bio/CTD_CHEMBL416_DOID_8778': ['bio/CHEMBL416'], 'bio/CTD_CHEMBL1042_DOID_8778': ['bio/CHEMBL1042'], 'bio/CTD_CHEMBL468_DOID_8778': ['bio/CHEMBL468'], 'bio/CTD_CHEMBL1503_DOID_8778': ['bio/CHEMBL1503'], 'bio/CTD_CHEMBL2107867_DOID_8778': ['bio/CHEMBL2107867'], 'bio/CTD_CHEMBL4298111_DOID_8778': ['bio/CHEMBL4298111'], 'bio/CTD_CHEMBL3707383_DOID_8778': ['bio/CHEMBL3707383'], 'bio/CTD_CHEMBL1201576_DOID_8778': ['bio/CHEMBL1201576'], 'bio/CTD_CHEMBL2108589_DOID_8778': ['bio/CHEMBL2108589'], 'bio/CTD_CHEMBL1201831_DOID_8778': ['bio/CHEMBL1201831'], 'bio/CTD_CHEMBL1401_DOID_8778': ['bio/CHEMBL1401'], 'bio/CTD_CHEMBL137_DOID_8778': ['bio/CHEMBL137'], 'bio/CTD_CHEMBL332750_DOID_8778': ['bio/CHEMBL332750'], 'bio/CTD_CHEMBL1293_DOID_8778': ['bio/CHEMBL1293'], 'bio/CTD_CHEMBL1213492_DOID_8778': ['bio/CHEMBL1213492'], 'bio/CTD_CHEMBL2109613_DOID_8778': ['bio/CHEMBL2109613'], 'bio/CTD_CHEMBL34259_DOID_8778': ['bio/CHEMBL34259'], 'bio/CTD_CHEMBL1535_DOID_8778': ['bio/CHEMBL1535'], 'bio/CTD_CHEMBL1200699_DOID_8778': ['bio/CHEMBL1200699'], 'bio/CTD_CHEMBL894_DOID_8778': ['bio/CHEMBL894'], 'bio/CTD_CHEMBL2108811_DOID_8778': ['bio/CHEMBL2108811'], 'bio/CTD_CHEMBL655_DOID_8778': ['bio/CHEMBL655'], 'bio/CTD_CHEMBL66092_DOID_8778': ['bio/CHEMBL66092'], 'bio/CTD_CHEMBL1201621_DOID_8778': ['bio/CHEMBL1201621'], 'bio/CTD_CHEMBL1370_DOID_8778': ['bio/CHEMBL1370']}\n", - "treatment compounds: ['bio/CHEMBL1542', 'bio/CHEMBL90593', 'bio/CHEMBL635', 'bio/CHEMBL643', 'bio/CHEMBL389621', 'bio/CHEMBL1743068', 'bio/CHEMBL2109070', 'bio/CHEMBL1743020', 'bio/CHEMBL1201587', 'bio/CHEMBL1201567', 'bio/CHEMBL116438', 'bio/CHEMBL930', 'bio/CHEMBL2108326', 'bio/CHEMBL866', 'bio/CHEMBL393220', 'bio/CHEMBL671', 'bio/CHEMBL2107614', 'bio/CHEMBL3833374', 'bio/CHEMBL113', 'bio/CHEMBL8', 'bio/CHEMBL2104987', 'bio/CHEMBL74415', 'bio/CHEMBL1742995', 'bio/CHEMBL1237023', 'bio/CHEMBL2109511', 'bio/CHEMBL2108046', 'bio/CHEMBL3990031', 'bio/CHEMBL262777', 'bio/CHEMBL4297252', 'bio/CHEMBL1464', 'bio/CHEMBL4297331', 'bio/CHEMBL450940', 'bio/CHEMBL4297344', 'bio/CHEMBL1496', 'bio/CHEMBL1742996', 'bio/CHEMBL186141', 'bio/CHEMBL4297761', 'bio/CHEMBL1456', 'bio/CHEMBL4297477', 'bio/CHEMBL1201507', 'bio/CHEMBL269732', 'bio/CHEMBL384467', 'bio/CHEMBL846', 'bio/CHEMBL4175981', 'bio/CHEMBL3990014', 'bio/CHEMBL444633', 'bio/CHEMBL1743087', 'bio/CHEMBL1201581', 'bio/CHEMBL1201479', 'bio/CHEMBL460026', 'bio/CHEMBL1096882', 'bio/CHEMBL1536', 'bio/CHEMBL2107779', 'bio/CHEMBL367149', 'bio/CHEMBL2021430', 'bio/CHEMBL1201607', 'bio/CHEMBL2109465', 'bio/CHEMBL19019', 'bio/CHEMBL3622821', 'bio/CHEMBL6966', 'bio/CHEMBL852', 'bio/CHEMBL190461', 'bio/CHEMBL3301607', 'bio/CHEMBL2108751', 'bio/CHEMBL1200796', 'bio/CHEMBL1169', 'bio/CHEMBL3137327', 'bio/CHEMBL25202', 'bio/CHEMBL1201438', 'bio/CHEMBL3989751', 'bio/CHEMBL704', 'bio/CHEMBL2109606', 'bio/CHEMBL1743050', 'bio/CHEMBL1201716', 'bio/CHEMBL4085457', 'bio/CHEMBL3990029', 'bio/CHEMBL3833372', 'bio/CHEMBL2178578', 'bio/CHEMBL131', 'bio/CHEMBL3707374', 'bio/CHEMBL3137351', 'bio/CHEMBL98', 'bio/CHEMBL848', 'bio/CHEMBL3707247', 'bio/CHEMBL4297942', 'bio/CHEMBL1617', 'bio/CHEMBL1201580', 'bio/CHEMBL1200574', 'bio/CHEMBL1201835', 'bio/CHEMBL595', 'bio/CHEMBL2109664', 'bio/CHEMBL4243974', 'bio/CHEMBL975', 'bio/CHEMBL1201562', 'bio/CHEMBL1743015', 'bio/CHEMBL2364648', 'bio/CHEMBL1201519', 'bio/CHEMBL52440', 'bio/CHEMBL1201823', 'bio/CHEMBL106', 'bio/CHEMBL650', 'bio/CHEMBL221959', 'bio/CHEMBL1200751', 'bio/CHEMBL3039505', 'bio/CHEMBL2108922', 'bio/CHEMBL1741', 'bio/CHEMBL4297643', 'bio/CHEMBL1292', 'bio/CHEMBL1201670', 'bio/CHEMBL416', 'bio/CHEMBL1042', 'bio/CHEMBL468', 'bio/CHEMBL1503', 'bio/CHEMBL2107867', 'bio/CHEMBL4298111', 'bio/CHEMBL3707383', 'bio/CHEMBL1201576', 'bio/CHEMBL2108589', 'bio/CHEMBL1201831', 'bio/CHEMBL1401', 'bio/CHEMBL137', 'bio/CHEMBL332750', 'bio/CHEMBL1293', 'bio/CHEMBL1213492', 'bio/CHEMBL2109613', 'bio/CHEMBL34259', 'bio/CHEMBL1535', 'bio/CHEMBL1200699', 'bio/CHEMBL894', 'bio/CHEMBL2108811', 'bio/CHEMBL655', 'bio/CHEMBL66092', 'bio/CHEMBL1201621', 'bio/CHEMBL1370']\n", - "134\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "a_5H6LJKpJt9" - }, - "source": [ - "We will save the treatment compounds as a reference to compare the candidate compounds that we find." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "bkCuU7zLEgkr" - }, - "source": [ - "## Contraindications Query \n", - "\n", - "Let's perform the same steps as above, but this time get contraindications for the disease. Data Commons has an entity type called ChemicalCompoundDiseaseContraindication, this pairs a compound with a disease that it should not be used with. We want to ensure that we do not suggest any of these compounds as candidates.\n", - "\n", - "In this specific case, Crohn's disease does not have any contraindications listed in Data Commons, however this is a good check to have when running this notebook with other diseases!" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "XNbC8DtdNLoe", - "outputId": "b4ff9166-ceca-49fc-9842-0aa0ec4fab91", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "source": [ - "# This query finds all ChemicalCompoundDiseaeContraindication nodes that the disease is connected to\n", - "query_str = '''\n", - "SELECT ?cdc_dcid\n", - "WHERE {{\n", - "?disease dcid \"{0}\" .\n", - "?cdc_dcid typeOf \tChemicalCompoundDiseaseContraindication .\n", - "?cdc_dcid diseaseID ?disease . \n", - "}}\n", - "'''.format(disease_dcid)\n", - "\n", - "result = dc.query(query_str)\n", - "\n", - "inadvisable_compounds = []\n", - "\n", - "if not result:\n", - " print('no contraindications found')\n", - "else:\n", - " contraindication_dcids = set()\n", - " for row in result:\n", - " contraindication_dcids.add(row['?cdc_dcid'])\n", - " print(contraindication_dcids)\n", - "\n", - " compounds = dc.get_property_values(contraindication_dcids, 'compoundID')\n", - " print('raw values: ' + str(compounds))\n", - "\n", - " # reformat compounds into iterable list\n", - " inadvisable_compounds = [drug for cdc, drug_list in compounds.items() for drug in drug_list ]\n", - " print(inadvisable_compounds)\n", - " print(len(inadvisable_compounds))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "no contraindications found\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "nmSzQlxrs0Et" - }, - "source": [ - "Now that we have found a list of inadvisable compounds we have a list of compounds that we should not suggest as candidates." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "SHWpOv2mDW-w" - }, - "source": [ - "## Disease-Gene Associations Query \n", - "\n", - "Let's move on to finding new candidate compounds! After looking at Crohn's disease [in the Graph Browser](https://datacommons.org/browser/bio/DOID_8778), we can see that there is are DiseaseGeneAssociation nodes connected to it. We will use these nodes to find genes associated with the specified disease." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "xwDyBHg7QxrY", - "outputId": "6a781701-5e0f-4957-e524-3ef53a52f2ca", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "source": [ - "# This query finds all DiseaseGeneAssociation nodes involving the disease\n", - "query_str = '''\n", - "SELECT ?dga_dcid\n", - "WHERE {{\n", - "?disease dcid \"{0}\" .\n", - "?dga_dcid typeOf \tDiseaseGeneAssociation .\n", - "?dga_dcid diseaseOntologyID ?disease . \n", - "}}\n", - "'''.format(disease_dcid)\n", - "\n", - "all_associated_genes = []\n", - "hg38_associated_genes = []\n", - "\n", - "result = dc.query(query_str)\n", - "\n", - "if not result:\n", - " print('no disease-gene associations found')\n", - "else:\n", - " # retreive the gene dcids involved in all of the found DiseaseGeneAssociation \n", - " # nodes, then limit to hg38\n", - " dga_dcids = set()\n", - " for row in result:\n", - " dga_dcids.add(row['?dga_dcid'])\n", - " print('disease-gene asscociations: ' + str(dga_dcids))\n", - "\n", - " genes_raw = dc.get_property_values(dga_dcids, 'geneID')\n", - " print('raw values: ' + str(genes_raw))\n", - "\n", - " all_associated_genes = [gene for cdc, gene_list in genes_raw.items() for gene in gene_list ]\n", - " print('all associated genes: ' + str(all_associated_genes))\n", - " print(len(all_associated_genes))\n", - "\n", - " # limit to hg38 genome assembly\n", - " hg38_associated_genes = [gene for gene in all_associated_genes if gene.startswith('bio/hg38')]\n", - " print('associated hg38 genes: ' + str(hg38_associated_genes))\n", - " print(len(hg38_associated_genes))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "disease-gene asscociations: {'bio/DGA_DOID_8778_OSMR_textmining', 'bio/DGA_DOID_8778_CGNL1_textmining', 'bio/DGA_DOID_8778_NR3C1_textmining', 'bio/DGA_DOID_8778_ISG15_textmining', 'bio/DGA_DOID_8778_IL36A_textmining', 'bio/DGA_DOID_8778_SIRT1_textmining', 'bio/DGA_DOID_8778_MXD4_textmining', 'bio/DGA_DOID_8778_PLD4_textmining', 'bio/DGA_DOID_8778_CD177_textmining', 'bio/DGA_DOID_8778_PLG_textmining', 'bio/DGA_DOID_8778_LGALS7B_textmining', 'bio/DGA_DOID_8778_TMEM232_textmining', 'bio/DGA_DOID_8778_MLKL_textmining', 'bio/DGA_DOID_8778_UBE2I_textmining', 'bio/DGA_DOID_8778_GPR132_textmining', 'bio/DGA_DOID_8778_ATXN2_textmining', 'bio/DGA_DOID_8778_COMP_textmining', 'bio/DGA_DOID_8778_EGFR_textmining', 'bio/DGA_DOID_8778_SUCNR1_textmining', 'bio/DGA_DOID_8778_hsa-miR-147b_textmining', 'bio/DGA_DOID_8778_CD6_textmining', 'bio/DGA_DOID_8778_LAT_textmining', 'bio/DGA_DOID_8778_ASPRV1_textmining', 'bio/DGA_DOID_8778_MLLT4_textmining', 'bio/DGA_DOID_8778_GNA11_textmining', 'bio/DGA_DOID_8778_IL18RAP_experiments', 'bio/DGA_DOID_8778_RGS14_experiments', 'bio/DGA_DOID_8778_IFIT1_textmining', 'bio/DGA_DOID_8778_OGFR_textmining', 'bio/DGA_DOID_8778_SORCS2_experiments', 'bio/DGA_DOID_8778_CSF2RB_textmining', 'bio/DGA_DOID_8778_MAP3K11_textmining', 'bio/DGA_DOID_8778_ENSP00000485133_experiments', 'bio/DGA_DOID_8778_ITGA2_textmining', 'bio/DGA_DOID_8778_JARID2_textmining', 'bio/DGA_DOID_8778_TTC37_textmining', 'bio/DGA_DOID_8778_CAPN14_textmining', 'bio/DGA_DOID_8778_CYR61_textmining', 'bio/DGA_DOID_8778_UBAC2_textmining', 'bio/DGA_DOID_8778_RHCE_textmining', 'bio/DGA_DOID_8778_ADRB2_textmining', 'bio/DGA_DOID_8778_PIGR_textmining', 'bio/DGA_DOID_8778_TCF7_textmining', 'bio/DGA_DOID_8778_CGB_textmining', 'bio/DGA_DOID_8778_TRIAP1_textmining', 'bio/DGA_DOID_8778_SLC2A4_textmining', 'bio/DGA_DOID_8778_TRAIP_textmining', 'bio/DGA_DOID_8778_VAMP7_textmining', 'bio/DGA_DOID_8778_CD6_experiments', 'bio/DGA_DOID_8778_HECA_textmining', 'bio/DGA_DOID_8778_MLST8_textmining', 'bio/DGA_DOID_8778_RNASE6_textmining', 'bio/DGA_DOID_8778_FOXO1_textmining', 'bio/DGA_DOID_8778_SH2D1A_textmining', 'bio/DGA_DOID_8778_TTK_textmining', 'bio/DGA_DOID_8778_PRKAA1_textmining', 'bio/DGA_DOID_8778_DIABLO_textmining', 'bio/DGA_DOID_8778_NTSR1_textmining', 'bio/DGA_DOID_8778_EOMES_textmining', 'bio/DGA_DOID_8778_SERPINA5_textmining', 'bio/DGA_DOID_8778_KCNA3_textmining', 'bio/DGA_DOID_8778_NLRP10_textmining', 'bio/DGA_DOID_8778_POLB_textmining', 'bio/DGA_DOID_8778_C4BPA_textmining', 'bio/DGA_DOID_8778_NFKB2_textmining', 'bio/DGA_DOID_8778_HNRNPD_textmining', 'bio/DGA_DOID_8778_CARD18_textmining', 'bio/DGA_DOID_8778_TNFRSF25_textmining', 'bio/DGA_DOID_8778_FZD5_textmining', 'bio/DGA_DOID_8778_SRGN_textmining', 'bio/DGA_DOID_8778_RAB3D_textmining', 'bio/DGA_DOID_8778_SST_textmining', 'bio/DGA_DOID_8778_RP11-16P6.1_textmining', 'bio/DGA_DOID_8778_FNDC5_textmining', 'bio/DGA_DOID_8778_BDKRB2_textmining', 'bio/DGA_DOID_8778_CDC42_textmining', 'bio/DGA_DOID_8778_BLK_textmining', 'bio/DGA_DOID_8778_ACKR3_textmining', 'bio/DGA_DOID_8778_IL18R1_textmining', 'bio/DGA_DOID_8778_CXCL8_textmining', 'bio/DGA_DOID_8778_RP11-76I14.1_textmining', 'bio/DGA_DOID_8778_DOK2_textmining', 'bio/DGA_DOID_8778_THNSL1_textmining', 'bio/DGA_DOID_8778_SEMA3C_textmining', 'bio/DGA_DOID_8778_DCX_textmining', 'bio/DGA_DOID_8778_IL20RA_textmining', 'bio/DGA_DOID_8778_ADAR_textmining', 'bio/DGA_DOID_8778_PMS1_textmining', 'bio/DGA_DOID_8778_PLXNB2_textmining', 'bio/DGA_DOID_8778_SLC26A3_textmining', 'bio/DGA_DOID_8778_HHIP_textmining', 'bio/DGA_DOID_8778_PDZK1_textmining', 'bio/DGA_DOID_8778_TNFRSF17_textmining', 'bio/DGA_DOID_8778_RP11-679B19.1_textmining', 'bio/DGA_DOID_8778_XBP1_textmining', 'bio/DGA_DOID_8778_COBL_textmining', 'bio/DGA_DOID_8778_PSMA7_textmining', 'bio/DGA_DOID_8778_IL1RAP_textmining', 'bio/DGA_DOID_8778_TTR_textmining', 'bio/DGA_DOID_8778_C1GALT1_textmining', 'bio/DGA_DOID_8778_CDKN2A_textmining', 'bio/DGA_DOID_8778_ELOVL5_textmining', 'bio/DGA_DOID_8778_PHTF1_textmining', 'bio/DGA_DOID_8778_JAKMIP1_textmining', 'bio/DGA_DOID_8778_ADSL_textmining', 'bio/DGA_DOID_8778_EMR2_textmining', 'bio/DGA_DOID_8778_SLC39A8_textmining', 'bio/DGA_DOID_8778_CXCR1_textmining', 'bio/DGA_DOID_8778_LOR_textmining', 'bio/DGA_DOID_8778_GRIN2A_textmining', 'bio/DGA_DOID_8778_KLK3_textmining', 'bio/DGA_DOID_8778_ADK_textmining', 'bio/DGA_DOID_8778_MYB_textmining', 'bio/DGA_DOID_8778_DCXR_textmining', 'bio/DGA_DOID_8778_IL34_textmining', 'bio/DGA_DOID_8778_APOL1_textmining', 'bio/DGA_DOID_8778_MYO5B_textmining', 'bio/DGA_DOID_8778_ARSH_textmining', 'bio/DGA_DOID_8778_MS4A2_textmining', 'bio/DGA_DOID_8778_SOCS1_textmining', 'bio/DGA_DOID_8778_DLG4_textmining', 'bio/DGA_DOID_8778_TBC1D23_textmining', 'bio/DGA_DOID_8778_KRT19_textmining', 'bio/DGA_DOID_8778_GSDMC_textmining', 'bio/DGA_DOID_8778_VIP_textmining', 'bio/DGA_DOID_8778_GPR65_textmining', 'bio/DGA_DOID_8778_FERMT2_textmining', 'bio/DGA_DOID_8778_SLC25A20_textmining', 'bio/DGA_DOID_8778_RIT1_experiments', 'bio/DGA_DOID_8778_PTGES_textmining', 'bio/DGA_DOID_8778_ZSCAN2_textmining', 'bio/DGA_DOID_8778_SIGIRR_textmining', 'bio/DGA_DOID_8778_GAS6_textmining', 'bio/DGA_DOID_8778_CALCA_textmining', 'bio/DGA_DOID_8778_HIST2H2AA3_textmining', 'bio/DGA_DOID_8778_STAT5B_textmining', 'bio/DGA_DOID_8778_RAET1L_textmining', 'bio/DGA_DOID_8778_FIS1_textmining', 'bio/DGA_DOID_8778_TNFRSF21_textmining', 'bio/DGA_DOID_8778_TIGD1_textmining', 'bio/DGA_DOID_8778_CA3_textmining', 'bio/DGA_DOID_8778_FCGR2A_experiments', 'bio/DGA_DOID_8778_HIST1H4I_textmining', 'bio/DGA_DOID_8778_MMP19_textmining', 'bio/DGA_DOID_8778_ITGB8_textmining', 'bio/DGA_DOID_8778_SEPSECS_textmining', 'bio/DGA_DOID_8778_CDKAL1_experiments', 'bio/DGA_DOID_8778_AXIN1_textmining', 'bio/DGA_DOID_8778_PIAS1_textmining', 'bio/DGA_DOID_8778_POTEF_textmining', 'bio/DGA_DOID_8778_TRIM31_textmining', 'bio/DGA_DOID_8778_FAS_textmining', 'bio/DGA_DOID_8778_LEAP2_textmining', 'bio/DGA_DOID_8778_NCF2_textmining', 'bio/DGA_DOID_8778_EEF1A1_textmining', 'bio/DGA_DOID_8778_PNKD_experiments', 'bio/DGA_DOID_8778_NTS_textmining', 'bio/DGA_DOID_8778_IFI6_textmining', 'bio/DGA_DOID_8778_DHFR_textmining', 'bio/DGA_DOID_8778_NEGR1_textmining', 'bio/DGA_DOID_8778_UPK1A_textmining', 'bio/DGA_DOID_8778_IFNL2_textmining', 'bio/DGA_DOID_8778_CUX2_textmining', 'bio/DGA_DOID_8778_SMAD9_textmining', 'bio/DGA_DOID_8778_PIK3R4_textmining', 'bio/DGA_DOID_8778_S100A4_textmining', 'bio/DGA_DOID_8778_LAP3_textmining', 'bio/DGA_DOID_8778_S100A6_textmining', 'bio/DGA_DOID_8778_DIO2_textmining', 'bio/DGA_DOID_8778_NLRP4_textmining', 'bio/DGA_DOID_8778_GPBAR1_textmining', 'bio/DGA_DOID_8778_SELL_textmining', 'bio/DGA_DOID_8778_LRP5_textmining', 'bio/DGA_DOID_8778_hsa-miR-342-3p_textmining', 'bio/DGA_DOID_8778_RAB27A_textmining', 'bio/DGA_DOID_8778_MAP3K1_textmining', 'bio/DGA_DOID_8778_SYNGR1_textmining', 'bio/DGA_DOID_8778_PTGR2_textmining', 'bio/DGA_DOID_8778_CYP3A5_textmining', 'bio/DGA_DOID_8778_TIRAP_textmining', 'bio/DGA_DOID_8778_TGM5_textmining', 'bio/DGA_DOID_8778_IGHV4-38-2_textmining', 'bio/DGA_DOID_8778_GHR_textmining', 'bio/DGA_DOID_8778_EPRS_textmining', 'bio/DGA_DOID_8778_BCL2A1_textmining', 'bio/DGA_DOID_8778_TLR1_textmining', 'bio/DGA_DOID_8778_CD40_textmining', 'bio/DGA_DOID_8778_DLL4_textmining', 'bio/DGA_DOID_8778_hsa-miR-378a-3p_textmining', 'bio/DGA_DOID_8778_TLR4_textmining', 'bio/DGA_DOID_8778_hsa-miR-181a-5p_textmining', 'bio/DGA_DOID_8778_MAP2K7_textmining', 'bio/DGA_DOID_8778_GAD2_textmining', 'bio/DGA_DOID_8778_GCDH_textmining', 'bio/DGA_DOID_8778_HFE_textmining', 'bio/DGA_DOID_8778_APOB_textmining', 'bio/DGA_DOID_8778_MYOD1_textmining', 'bio/DGA_DOID_8778_TYMP_textmining', 'bio/DGA_DOID_8778_BCAR1_textmining', 'bio/DGA_DOID_8778_MAP1LC3B_textmining', 'bio/DGA_DOID_8778_FLNC_textmining', 'bio/DGA_DOID_8778_USP17L4_textmining', 'bio/DGA_DOID_8778_ARF6_textmining', 'bio/DGA_DOID_8778_FZD2_textmining', 'bio/DGA_DOID_8778_PRSS8_textmining', 'bio/DGA_DOID_8778_ABCA12_textmining', 'bio/DGA_DOID_8778_ALPL_textmining', 'bio/DGA_DOID_8778_DHODH_textmining', 'bio/DGA_DOID_8778_GZMM_textmining', 'bio/DGA_DOID_8778_HCP5_textmining', 'bio/DGA_DOID_8778_IQCB1_experiments', 'bio/DGA_DOID_8778_PUS10_experiments', 'bio/DGA_DOID_8778_hsa-mir-196a-1_textmining', 'bio/DGA_DOID_8778_SLC22A23_textmining', 'bio/DGA_DOID_8778_ZBTB7B_textmining', 'bio/DGA_DOID_8778_NCF4_textmining', 'bio/DGA_DOID_8778_IL17RD_textmining', 'bio/DGA_DOID_8778_RAB5A_textmining', 'bio/DGA_DOID_8778_RICTOR_textmining', 'bio/DGA_DOID_8778_IL17RA_textmining', 'bio/DGA_DOID_8778_IL6ST_textmining', 'bio/DGA_DOID_8778_REL_textmining', 'bio/DGA_DOID_8778_SEMA6D_textmining', 'bio/DGA_DOID_8778_hsa-miR-142-5p_textmining', 'bio/DGA_DOID_8778_KITLG_textmining', 'bio/DGA_DOID_8778_MUC12_textmining', 'bio/DGA_DOID_8778_UBAC2_experiments', 'bio/DGA_DOID_8778_HNF4A_textmining', 'bio/DGA_DOID_8778_PROM1_textmining', 'bio/DGA_DOID_8778_HSPA1L_textmining', 'bio/DGA_DOID_8778_KIR2DL3_textmining', 'bio/DGA_DOID_8778_CCL27_textmining', 'bio/DGA_DOID_8778_PTGIS_textmining', 'bio/DGA_DOID_8778_GSN_textmining', 'bio/DGA_DOID_8778_APOA5_textmining', 'bio/DGA_DOID_8778_CLN3_textmining', 'bio/DGA_DOID_8778_GNAS_textmining', 'bio/DGA_DOID_8778_RSPO1_textmining', 'bio/DGA_DOID_8778_TALDO1_textmining', 'bio/DGA_DOID_8778_TNFAIP3_textmining', 'bio/DGA_DOID_8778_RAB10_textmining', 'bio/DGA_DOID_8778_DRD1_textmining', 'bio/DGA_DOID_8778_S100G_textmining', 'bio/DGA_DOID_8778_ITGAL_experiments', 'bio/DGA_DOID_8778_ESR1_textmining', 'bio/DGA_DOID_8778_YDJC_textmining', 'bio/DGA_DOID_8778_CCDC174_textmining', 'bio/DGA_DOID_8778_APCS_textmining', 'bio/DGA_DOID_8778_PSMB10_textmining', 'bio/DGA_DOID_8778_MMP14_textmining', 'bio/DGA_DOID_8778_F5_textmining', 'bio/DGA_DOID_8778_ANXA8_textmining', 'bio/DGA_DOID_8778_UBE2E2_textmining', 'bio/DGA_DOID_8778_ARSD_textmining', 'bio/DGA_DOID_8778_KLRF1_textmining', 'bio/DGA_DOID_8778_LRRK1_textmining', 'bio/DGA_DOID_8778_SLCO6A1_experiments', 'bio/DGA_DOID_8778_EHBP1L1_textmining', 'bio/DGA_DOID_8778_FERMT3_textmining', 'bio/DGA_DOID_8778_OR6J1_textmining', 'bio/DGA_DOID_8778_TRAF1_textmining', 'bio/DGA_DOID_8778_SLCO2B1_textmining', 'bio/DGA_DOID_8778_DPP9_textmining', 'bio/DGA_DOID_8778_ERAS_textmining', 'bio/DGA_DOID_8778_CMKBR6_textmining', 'bio/DGA_DOID_8778_CALU_textmining', 'bio/DGA_DOID_8778_HDAC6_textmining', 'bio/DGA_DOID_8778_CX3CL1_textmining', 'bio/DGA_DOID_8778_SERPINB2_textmining', 'bio/DGA_DOID_8778_TYK2_knowledge', 'bio/DGA_DOID_8778_HSPA1A_textmining', 'bio/DGA_DOID_8778_AHSG_textmining', 'bio/DGA_DOID_8778_SNORA75_textmining', 'bio/DGA_DOID_8778_TNFRSF10A_textmining', 'bio/DGA_DOID_8778_RELB_textmining', 'bio/DGA_DOID_8778_TXNDC9_textmining', 'bio/DGA_DOID_8778_NF1_textmining', 'bio/DGA_DOID_8778_TNFRSF13C_textmining', 'bio/DGA_DOID_8778_ITIH4_textmining', 'bio/DGA_DOID_8778_ADGB_textmining', 'bio/DGA_DOID_8778_SOX9_textmining', 'bio/DGA_DOID_8778_VNN1_textmining', 'bio/DGA_DOID_8778_SMAD4_textmining', 'bio/DGA_DOID_8778_C22orf34_textmining', 'bio/DGA_DOID_8778_ALB_textmining', 'bio/DGA_DOID_8778_LILRA4_textmining', 'bio/DGA_DOID_8778_ACLY_textmining', 'bio/DGA_DOID_8778_CRTC3_experiments', 'bio/DGA_DOID_8778_PROK2_textmining', 'bio/DGA_DOID_8778_MT1X_textmining', 'bio/DGA_DOID_8778_ZXDC_textmining', 'bio/DGA_DOID_8778_GPX7_textmining', 'bio/DGA_DOID_8778_GUCY1A3_textmining', 'bio/DGA_DOID_8778_PIWIL4_textmining', 'bio/DGA_DOID_8778_VR1_textmining', 'bio/DGA_DOID_8778_NR1H4_textmining', 'bio/DGA_DOID_8778_TRIM33_textmining', 'bio/DGA_DOID_8778_APAF1_textmining', 'bio/DGA_DOID_8778_AOC3_textmining', 'bio/DGA_DOID_8778_hsa-let-7e-5p_textmining', 'bio/DGA_DOID_8778_GCKR_experiments', 'bio/DGA_DOID_8778_P2RX1_textmining', 'bio/DGA_DOID_8778_BDKRB1_textmining', 'bio/DGA_DOID_8778_SEPT4_textmining', 'bio/DGA_DOID_8778_S100A12_textmining', 'bio/DGA_DOID_8778_NRAS_textmining', 'bio/DGA_DOID_8778_FAM156B_textmining', 'bio/DGA_DOID_8778_KIR2DL4_textmining', 'bio/DGA_DOID_8778_IPMK_experiments', 'bio/DGA_DOID_8778_JUN_textmining', 'bio/DGA_DOID_8778_SHROOM2_textmining', 'bio/DGA_DOID_8778_WNT1_textmining', 'bio/DGA_DOID_8778_IFNA21_textmining', 'bio/DGA_DOID_8778_SH3GLB1_textmining', 'bio/DGA_DOID_8778_ITGB7_textmining', 'bio/DGA_DOID_8778_hsa-miR-4531_textmining', 'bio/DGA_DOID_8778_PTX3_textmining', 'bio/DGA_DOID_8778_TCOF1_textmining', 'bio/DGA_DOID_8778_CSF2RA_textmining', 'bio/DGA_DOID_8778_NEU2_textmining', 'bio/DGA_DOID_8778_PSMB9_textmining', 'bio/DGA_DOID_8778_DAP_textmining', 'bio/DGA_DOID_8778_ICAM2_textmining', 'bio/DGA_DOID_8778_TYROBP_textmining', 'bio/DGA_DOID_8778_NXPE1_experiments', 'bio/DGA_DOID_8778_SLC26A2_textmining', 'bio/DGA_DOID_8778_RSPO3_textmining', 'bio/DGA_DOID_8778_LINC01475_textmining', 'bio/DGA_DOID_8778_hsa-miR-375_textmining', 'bio/DGA_DOID_8778_ATG7_textmining', 'bio/DGA_DOID_8778_LY96_textmining', 'bio/DGA_DOID_8778_NR1I3_textmining', 'bio/DGA_DOID_8778_SBNO2_experiments', 'bio/DGA_DOID_8778_CLEC10A_textmining', 'bio/DGA_DOID_8778_CUL5_textmining', 'bio/DGA_DOID_8778_IFNGR2_experiments', 'bio/DGA_DOID_8778_UBD_textmining', 'bio/DGA_DOID_8778_MAP3K3_textmining', 'bio/DGA_DOID_8778_PTGER4_experiments', 'bio/DGA_DOID_8778_DNER_textmining', 'bio/DGA_DOID_8778_GLP2R_textmining', 'bio/DGA_DOID_8778_IRGM_knowledge', 'bio/DGA_DOID_8778_C2orf49_textmining', 'bio/DGA_DOID_8778_OR10A3_textmining', 'bio/DGA_DOID_8778_ODC1_textmining', 'bio/DGA_DOID_8778_SCN5A_textmining', 'bio/DGA_DOID_8778_LRRIQ3_textmining', 'bio/DGA_DOID_8778_CD200R1_textmining', 'bio/DGA_DOID_8778_ANXA2_textmining', 'bio/DGA_DOID_8778_FYB_textmining', 'bio/DGA_DOID_8778_KCNK2_textmining', 'bio/DGA_DOID_8778_SPNS1_textmining', 'bio/DGA_DOID_8778_MAMSTR_experiments', 'bio/DGA_DOID_8778_TNXB_textmining', 'bio/DGA_DOID_8778_TBX21_textmining', 'bio/DGA_DOID_8778_ARF3_textmining', 'bio/DGA_DOID_8778_RALB_textmining', 'bio/DGA_DOID_8778_CBL_textmining', 'bio/DGA_DOID_8778_CD5L_textmining', 'bio/DGA_DOID_8778_DNAJC13_experiments', 'bio/DGA_DOID_8778_ST3GAL2_textmining', 'bio/DGA_DOID_8778_TRAT1_textmining', 'bio/DGA_DOID_8778_SENP8_textmining', 'bio/DGA_DOID_8778_PDGFB_textmining', 'bio/DGA_DOID_8778_CHAT_textmining', 'bio/DGA_DOID_8778_WNT2_experiments', 'bio/DGA_DOID_8778_hsa-miR-21-5p_textmining', 'bio/DGA_DOID_8778_CSF3_textmining', 'bio/DGA_DOID_8778_HPSE_textmining', 'bio/DGA_DOID_8778_EPHB3_textmining', 'bio/DGA_DOID_8778_ACHE_textmining', 'bio/DGA_DOID_8778_CSK_textmining', 'bio/DGA_DOID_8778_hsa-miR-196a-5p_textmining', 'bio/DGA_DOID_8778_SLCO1C1_textmining', 'bio/DGA_DOID_8778_SCGB1A1_textmining', 'bio/DGA_DOID_8778_CRLF2_textmining', 'bio/DGA_DOID_8778_SEC11A_textmining', 'bio/DGA_DOID_8778_HPX_textmining', 'bio/DGA_DOID_8778_HIST2H3PS2_textmining', 'bio/DGA_DOID_8778_IPP_textmining', 'bio/DGA_DOID_8778_ZEB1_textmining', 'bio/DGA_DOID_8778_MMP8_textmining', 'bio/DGA_DOID_8778_UBLCP1_textmining', 'bio/DGA_DOID_8778_FCGR2A_textmining', 'bio/DGA_DOID_8778_SLC6A14_textmining', 'bio/DGA_DOID_8778_ACE2_textmining', 'bio/DGA_DOID_8778_DNAH3_textmining', 'bio/DGA_DOID_8778_hsa-miR-124-3p_textmining', 'bio/DGA_DOID_8778_CCL23_textmining', 'bio/DGA_DOID_8778_HBS1L_textmining', 'bio/DGA_DOID_8778_CNTF_textmining', 'bio/DGA_DOID_8778_MGAM_textmining', 'bio/DGA_DOID_8778_GPR84_textmining', 'bio/DGA_DOID_8778_CSHL1_textmining', 'bio/DGA_DOID_8778_ACTA2_textmining', 'bio/DGA_DOID_8778_PDLIM5_textmining', 'bio/DGA_DOID_8778_hsa-miR-362-3p_textmining', 'bio/DGA_DOID_8778_RNF5_textmining', 'bio/DGA_DOID_8778_C1orf68_textmining', 'bio/DGA_DOID_8778_CMA1_textmining', 'bio/DGA_DOID_8778_CD80_textmining', 'bio/DGA_DOID_8778_GRP_textmining', 'bio/DGA_DOID_8778_DUSP16_experiments', 'bio/DGA_DOID_8778_UGT1A1_textmining', 'bio/DGA_DOID_8778_MRPS7_textmining', 'bio/DGA_DOID_8778_MS4A4A_textmining', 'bio/DGA_DOID_8778_SEMA3G_textmining', 'bio/DGA_DOID_8778_GBP6_textmining', 'bio/DGA_DOID_8778_TGM6_textmining', 'bio/DGA_DOID_8778_KIR2DL1_textmining', 'bio/DGA_DOID_8778_LAT2_textmining', 'bio/DGA_DOID_8778_TOR1A_textmining', 'bio/DGA_DOID_8778_hsa-miR-340-3p_textmining', 'bio/DGA_DOID_8778_PPP2R3C_textmining', 'bio/DGA_DOID_8778_GSDMD_textmining', 'bio/DGA_DOID_8778_BTNL2_textmining', 'bio/DGA_DOID_8778_DCT_textmining', 'bio/DGA_DOID_8778_CPSF3L_experiments', 'bio/DGA_DOID_8778_HBEGF_textmining', 'bio/DGA_DOID_8778_KLF5_textmining', 'bio/DGA_DOID_8778_CEBPE_textmining', 'bio/DGA_DOID_8778_FRG1B_textmining', 'bio/DGA_DOID_8778_SPN_textmining', 'bio/DGA_DOID_8778_FUT4_textmining', 'bio/DGA_DOID_8778_RHOB_textmining', 'bio/DGA_DOID_8778_PCK1_textmining', 'bio/DGA_DOID_8778_CXCL11_textmining', 'bio/DGA_DOID_8778_TAB3_textmining', 'bio/DGA_DOID_8778_SNAI2_textmining', 'bio/DGA_DOID_8778_hsa-miR-200b-3p_textmining', 'bio/DGA_DOID_8778_LANCL2_textmining', 'bio/DGA_DOID_8778_HBA2_textmining', 'bio/DGA_DOID_8778_MGP_textmining', 'bio/DGA_DOID_8778_TMEM173_textmining', 'bio/DGA_DOID_8778_GPX3_textmining', 'bio/DGA_DOID_8778_NUP210_textmining', 'bio/DGA_DOID_8778_ORMDL3_textmining', 'bio/DGA_DOID_8778_SRI_textmining', 'bio/DGA_DOID_8778_CASP7_textmining', 'bio/DGA_DOID_8778_FGG_textmining', 'bio/DGA_DOID_8778_CPEB4_experiments', 'bio/DGA_DOID_8778_CD3G_textmining', 'bio/DGA_DOID_8778_DSG1_textmining', 'bio/DGA_DOID_8778_PERP_textmining', 'bio/DGA_DOID_8778_GLG1_textmining', 'bio/DGA_DOID_8778_TIMP3_textmining', 'bio/DGA_DOID_8778_NPIPB8_textmining', 'bio/DGA_DOID_8778_IFNAR1_textmining', 'bio/DGA_DOID_8778_JAG1_textmining', 'bio/DGA_DOID_8778_NES_textmining', 'bio/DGA_DOID_8778_CA7_textmining', 'bio/DGA_DOID_8778_GSTM1_textmining', 'bio/DGA_DOID_8778_LOH12CR1_textmining', 'bio/DGA_DOID_8778_KLKB1_textmining', 'bio/DGA_DOID_8778_PTGER3_textmining', 'bio/DGA_DOID_8778_SPESP1_textmining', 'bio/DGA_DOID_8778_CSMD1_textmining', 'bio/DGA_DOID_8778_MZF1_textmining', 'bio/DGA_DOID_8778_DSC1_textmining', 'bio/DGA_DOID_8778_HIST1H4H_textmining', 'bio/DGA_DOID_8778_PYDC1_textmining', 'bio/DGA_DOID_8778_TNFRSF14_experiments', 'bio/DGA_DOID_8778_TNFRSF6B_textmining', 'bio/DGA_DOID_8778_hsa-miR-26b-5p_textmining', 'bio/DGA_DOID_8778_CHST4_textmining', 'bio/DGA_DOID_8778_FCRL4_textmining', 'bio/DGA_DOID_8778_CRHR1_textmining', 'bio/DGA_DOID_8778_CA1_textmining', 'bio/DGA_DOID_8778_CDKN3_textmining', 'bio/DGA_DOID_8778_SLC7A2_textmining', 'bio/DGA_DOID_8778_THEMIS_experiments', 'bio/DGA_DOID_8778_PLA2G5_textmining', 'bio/DGA_DOID_8778_ABHD8_textmining', 'bio/DGA_DOID_8778_TSPO_textmining', 'bio/DGA_DOID_8778_RNASET2_experiments', 'bio/DGA_DOID_8778_RBFOX3_textmining', 'bio/DGA_DOID_8778_TGM2_textmining', 'bio/DGA_DOID_8778_TPI1_textmining', 'bio/DGA_DOID_8778_RGS4_textmining', 'bio/DGA_DOID_8778_HNMT_textmining', 'bio/DGA_DOID_8778_GNA12_textmining', 'bio/DGA_DOID_8778_ERBB3_textmining', 'bio/DGA_DOID_8778_IL17B_textmining', 'bio/DGA_DOID_8778_SBK1_textmining', 'bio/DGA_DOID_8778_LPO_textmining', 'bio/DGA_DOID_8778_CRTC3_textmining', 'bio/DGA_DOID_8778_RCL1_textmining', 'bio/DGA_DOID_8778_MYLK3_textmining', 'bio/DGA_DOID_8778_FABP4_textmining', 'bio/DGA_DOID_8778_SFTPC_textmining', 'bio/DGA_DOID_8778_ENSP00000426906_textmining', 'bio/DGA_DOID_8778_BAG3_textmining', 'bio/DGA_DOID_8778_hsa-miR-149-3p_textmining', 'bio/DGA_DOID_8778_UHRF1_textmining', 'bio/DGA_DOID_8778_USP17L3_textmining', 'bio/DGA_DOID_8778_TNFAIP2_textmining', 'bio/DGA_DOID_8778_BSN_textmining', 'bio/DGA_DOID_8778_CSNK2A1_textmining', 'bio/DGA_DOID_8778_CSF3R_textmining', 'bio/DGA_DOID_8778_UGT1A6_textmining', 'bio/DGA_DOID_8778_CEMIP_textmining', 'bio/DGA_DOID_8778_PAH_textmining', 'bio/DGA_DOID_8778_HEATR3_textmining', 'bio/DGA_DOID_8778_CD207_textmining', 'bio/DGA_DOID_8778_GNB2L1_textmining', 'bio/DGA_DOID_8778_ARG1_textmining', 'bio/DGA_DOID_8778_CNR2_textmining', 'bio/DGA_DOID_8778_MCL1_textmining', 'bio/DGA_DOID_8778_IFITM1_textmining', 'bio/DGA_DOID_8778_ZPBP2_textmining', 'bio/DGA_DOID_8778_TXNDC15_textmining', 'bio/DGA_DOID_8778_CCL5_textmining', 'bio/DGA_DOID_8778_PCSK7_textmining', 'bio/DGA_DOID_8778_SOCS7_textmining', 'bio/DGA_DOID_8778_DUSP1_textmining', 'bio/DGA_DOID_8778_IL5_textmining', 'bio/DGA_DOID_8778_RHOH_textmining', 'bio/DGA_DOID_8778_PLA2G4B_textmining', 'bio/DGA_DOID_8778_YES1_textmining', 'bio/DGA_DOID_8778_AC007182.6_textmining', 'bio/DGA_DOID_8778_TSPAN14_textmining', 'bio/DGA_DOID_8778_TSC22D3_textmining', 'bio/DGA_DOID_8778_SELE_textmining', 'bio/DGA_DOID_8778_GATA2_textmining', 'bio/DGA_DOID_8778_APBA1_textmining', 'bio/DGA_DOID_8778_STAT3_textmining', 'bio/DGA_DOID_8778_SULT1A2_textmining', 'bio/DGA_DOID_8778_ASIC3_textmining', 'bio/DGA_DOID_8778_CLDN3_textmining', 'bio/DGA_DOID_8778_IL13_textmining', 'bio/DGA_DOID_8778_CUBN_textmining', 'bio/DGA_DOID_8778_CTSB_textmining', 'bio/DGA_DOID_8778_NOXO1_textmining', 'bio/DGA_DOID_8778_hsa-miR-301a-5p_textmining', 'bio/DGA_DOID_8778_WDR6_textmining', 'bio/DGA_DOID_8778_MAP3K7_textmining', 'bio/DGA_DOID_8778_UBASH3A_textmining', 'bio/DGA_DOID_8778_CD34_textmining', 'bio/DGA_DOID_8778_hsa-miR-4447_textmining', 'bio/DGA_DOID_8778_IFNGR1_textmining', 'bio/DGA_DOID_8778_NAT1_textmining', 'bio/DGA_DOID_8778_SLC30A1_textmining', 'bio/DGA_DOID_8778_CDH5_textmining', 'bio/DGA_DOID_8778_A2M_textmining', 'bio/DGA_DOID_8778_EFNB2_textmining', 'bio/DGA_DOID_8778_TRIM41_textmining', 'bio/DGA_DOID_8778_NOD1_textmining', 'bio/DGA_DOID_8778_MTRR_textmining', 'bio/DGA_DOID_8778_PDE4A_textmining', 'bio/DGA_DOID_8778_MKKS_textmining', 'bio/DGA_DOID_8778_SFRP2_textmining', 'bio/DGA_DOID_8778_ZNF740_textmining', 'bio/DGA_DOID_8778_UBE2V1_textmining', 'bio/DGA_DOID_8778_hsa-miR-3180-3p_textmining', 'bio/DGA_DOID_8778_IGFBP4_textmining', 'bio/DGA_DOID_8778_AGPS_textmining', 'bio/DGA_DOID_8778_GP6_textmining', 'bio/DGA_DOID_8778_SIL1_textmining', 'bio/DGA_DOID_8778_PGM1_textmining', 'bio/DGA_DOID_8778_IMPDH2_textmining', 'bio/DGA_DOID_8778_ELF3_textmining', 'bio/DGA_DOID_8778_RXRA_textmining', 'bio/DGA_DOID_8778_HIST2H4A_textmining', 'bio/DGA_DOID_8778_GATA1_textmining', 'bio/DGA_DOID_8778_ACP5_textmining', 'bio/DGA_DOID_8778_MT1F_textmining', 'bio/DGA_DOID_8778_RAB8A_textmining', 'bio/DGA_DOID_8778_hsa-miR-20a-5p_textmining', 'bio/DGA_DOID_8778_PMCH_textmining', 'bio/DGA_DOID_8778_CD69_textmining', 'bio/DGA_DOID_8778_NISCH_textmining', 'bio/DGA_DOID_8778_PLA2G2D_textmining', 'bio/DGA_DOID_8778_TFEB_textmining', 'bio/DGA_DOID_8778_IFNA1_textmining', 'bio/DGA_DOID_8778_CALCOCO2_textmining', 'bio/DGA_DOID_8778_BTLA_textmining', 'bio/DGA_DOID_8778_CXCL13_textmining', 'bio/DGA_DOID_8778_LTB_textmining', 'bio/DGA_DOID_8778_VMP1_textmining', 'bio/DGA_DOID_8778_FFAR3_textmining', 'bio/DGA_DOID_8778_APPL1_textmining', 'bio/DGA_DOID_8778_TRIM35_textmining', 'bio/DGA_DOID_8778_STAT1_textmining', 'bio/DGA_DOID_8778_HNF4A-AS1_textmining', 'bio/DGA_DOID_8778_NFIC_textmining', 'bio/DGA_DOID_8778_CRH_textmining', 'bio/DGA_DOID_8778_MUT_textmining', 'bio/DGA_DOID_8778_ALPI_textmining', 'bio/DGA_DOID_8778_P2RX2_textmining', 'bio/DGA_DOID_8778_UTS2_experiments', 'bio/DGA_DOID_8778_CDC25A_textmining', 'bio/DGA_DOID_8778_TNFRSF18_textmining', 'bio/DGA_DOID_8778_THADA_textmining', 'bio/DGA_DOID_8778_SLC1A5_textmining', 'bio/DGA_DOID_8778_SNAPC4_textmining', 'bio/DGA_DOID_8778_FBN1_textmining', 'bio/DGA_DOID_8778_INSRR_textmining', 'bio/DGA_DOID_8778_NOTCH2_textmining', 'bio/DGA_DOID_8778_MDK_textmining', 'bio/DGA_DOID_8778_AIRE_textmining', 'bio/DGA_DOID_8778_LILRA6_textmining', 'bio/DGA_DOID_8778_C2orf43_textmining', 'bio/DGA_DOID_8778_UST_textmining', 'bio/DGA_DOID_8778_F2_textmining', 'bio/DGA_DOID_8778_RNASET2_textmining', 'bio/DGA_DOID_8778_CD83_textmining', 'bio/DGA_DOID_8778_CTSV_textmining', 'bio/DGA_DOID_8778_PRDM1_experiments', 'bio/DGA_DOID_8778_HHEX_textmining', 'bio/DGA_DOID_8778_DISC1_textmining', 'bio/DGA_DOID_8778_C10orf67_textmining', 'bio/DGA_DOID_8778_HOMER1_textmining', 'bio/DGA_DOID_8778_hsa-miR-195-5p_textmining', 'bio/DGA_DOID_8778_PGAM5_textmining', 'bio/DGA_DOID_8778_COL18A1_textmining', 'bio/DGA_DOID_8778_CCL4L1_textmining', 'bio/DGA_DOID_8778_ALYREF_textmining', 'bio/DGA_DOID_8778_hsa-miR-155-5p_textmining', 'bio/DGA_DOID_8778_C16orf45_textmining', 'bio/DGA_DOID_8778_GFI1_textmining', 'bio/DGA_DOID_8778_MUC15_textmining', 'bio/DGA_DOID_8778_LMNB1_textmining', 'bio/DGA_DOID_8778_P2RX7_textmining', 'bio/DGA_DOID_8778_WNT2B_textmining', 'bio/DGA_DOID_8778_VLDLR_textmining', 'bio/DGA_DOID_8778_DHRS9_textmining', 'bio/DGA_DOID_8778_KLRC2_textmining', 'bio/DGA_DOID_8778_SLC7A3_textmining', 'bio/DGA_DOID_8778_GATA6_textmining', 'bio/DGA_DOID_8778_DMXL1_textmining', 'bio/DGA_DOID_8778_IGFBP2_textmining', 'bio/DGA_DOID_8778_CD84_textmining', 'bio/DGA_DOID_8778_HPRT1_textmining', 'bio/DGA_DOID_8778_OS9_textmining', 'bio/DGA_DOID_8778_HLA-DRA_textmining', 'bio/DGA_DOID_8778_SLC11A2_textmining', 'bio/DGA_DOID_8778_hsa-miR-31-5p_textmining', 'bio/DGA_DOID_8778_CDKN1A_textmining', 'bio/DGA_DOID_8778_VIPR2_textmining', 'bio/DGA_DOID_8778_DYNLT1_textmining', 'bio/DGA_DOID_8778_APEX1_textmining', 'bio/DGA_DOID_8778_ID2_textmining', 'bio/DGA_DOID_8778_TDO2_textmining', 'bio/DGA_DOID_8778_TNIP3_textmining', 'bio/DGA_DOID_8778_SERPINA7_textmining', 'bio/DGA_DOID_8778_DDIT3_textmining', 'bio/DGA_DOID_8778_FCER1G_textmining', 'bio/DGA_DOID_8778_IFI27_textmining', 'bio/DGA_DOID_8778_MUC17_textmining', 'bio/DGA_DOID_8778_MT3_textmining', 'bio/DGA_DOID_8778_MERTK_textmining', 'bio/DGA_DOID_8778_ATG3_textmining', 'bio/DGA_DOID_8778_CTC-535M15.2_textmining', 'bio/DGA_DOID_8778_NLRC4_textmining', 'bio/DGA_DOID_8778_CHUK_textmining', 'bio/DGA_DOID_8778_OLR1_textmining', 'bio/DGA_DOID_8778_SNX20_experiments', 'bio/DGA_DOID_8778_ADORA2B_textmining', 'bio/DGA_DOID_8778_HRAS_textmining', 'bio/DGA_DOID_8778_hsa-miR-125a-5p_textmining', 'bio/DGA_DOID_8778_LILRA5_textmining', 'bio/DGA_DOID_8778_PON1_textmining', 'bio/DGA_DOID_8778_PTBP1_textmining', 'bio/DGA_DOID_8778_MMP2_textmining', 'bio/DGA_DOID_8778_KIF3A_textmining', 'bio/DGA_DOID_8778_CELA3B_textmining', 'bio/DGA_DOID_8778_CACNA1E_textmining', 'bio/DGA_DOID_8778_HSPA2_textmining', 'bio/DGA_DOID_8778_HDAC7_textmining', 'bio/DGA_DOID_8778_PLCG2_textmining', 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'bio/DGA_DOID_8778_ADCY3_textmining', 'bio/DGA_DOID_8778_BNIP3_textmining', 'bio/DGA_DOID_8778_HORMAD2_textmining', 'bio/DGA_DOID_8778_PPBP_textmining', 'bio/DGA_DOID_8778_CEP72_experiments', 'bio/DGA_DOID_8778_TBC1D3A_textmining', 'bio/DGA_DOID_8778_CXCL12_textmining', 'bio/DGA_DOID_8778_NPBWR1_textmining', 'bio/DGA_DOID_8778_PMAIP1_textmining', 'bio/DGA_DOID_8778_HDGF_textmining', 'bio/DGA_DOID_8778_STX17_textmining', 'bio/DGA_DOID_8778_NFIL3_textmining', 'bio/DGA_DOID_8778_IFNAR2_textmining', 'bio/DGA_DOID_8778_DLAT_textmining', 'bio/DGA_DOID_8778_CFB_textmining', 'bio/DGA_DOID_8778_STX8_textmining', 'bio/DGA_DOID_8778_HPGDS_textmining', 'bio/DGA_DOID_8778_SEMA3F_textmining', 'bio/DGA_DOID_8778_PTGER2_textmining', 'bio/DGA_DOID_8778_MYOCD_textmining', 'bio/DGA_DOID_8778_CD163_textmining', 'bio/DGA_DOID_8778_REG1B_textmining', 'bio/DGA_DOID_8778_ASPA_textmining', 'bio/DGA_DOID_8778_UGDH_textmining', 'bio/DGA_DOID_8778_hsa-miR-103a-2-5p_textmining', 'bio/DGA_DOID_8778_CTSC_textmining', 'bio/DGA_DOID_8778_ITIH2_textmining', 'bio/DGA_DOID_8778_FIBP_experiments', 'bio/DGA_DOID_8778_PNLIP_textmining', 'bio/DGA_DOID_8778_PSMG1_textmining', 'bio/DGA_DOID_8778_CPXM1_textmining', 'bio/DGA_DOID_8778_GPA33_textmining', 'bio/DGA_DOID_8778_MARCH1_textmining', 'bio/DGA_DOID_8778_LYVE1_textmining', 'bio/DGA_DOID_8778_NFYA_textmining', 'bio/DGA_DOID_8778_THEMIS_textmining', 'bio/DGA_DOID_8778_TMBIM6_textmining', 'bio/DGA_DOID_8778_IRF2BP1_textmining', 'bio/DGA_DOID_8778_GRB2_textmining', 'bio/DGA_DOID_8778_FPR1_textmining', 'bio/DGA_DOID_8778_SLTM_textmining', 'bio/DGA_DOID_8778_GGTLC3_textmining', 'bio/DGA_DOID_8778_LITAF_textmining', 'bio/DGA_DOID_8778_RNF114_textmining', 'bio/DGA_DOID_8778_IL23R_knowledge', 'bio/DGA_DOID_8778_ADAMTS7_textmining', 'bio/DGA_DOID_8778_MASP2_textmining', 'bio/DGA_DOID_8778_RAB40AL_textmining', 'bio/DGA_DOID_8778_TAOK3_textmining', 'bio/DGA_DOID_8778_CCL20_textmining', 'bio/DGA_DOID_8778_AREG_textmining', 'bio/DGA_DOID_8778_GIMAP5_textmining', 'bio/DGA_DOID_8778_MGLL_textmining', 'bio/DGA_DOID_8778_NOD2_knowledge', 'bio/DGA_DOID_8778_IRX5_textmining', 'bio/DGA_DOID_8778_PEPD_textmining', 'bio/DGA_DOID_8778_GBP7_textmining', 'bio/DGA_DOID_8778_USP18_textmining', 'bio/DGA_DOID_8778_NOS1AP_textmining', 'bio/DGA_DOID_8778_MAP2K5_textmining', 'bio/DGA_DOID_8778_COG2_textmining', 'bio/DGA_DOID_8778_ADAMTS4_textmining', 'bio/DGA_DOID_8778_XPNPEP1_textmining', 'bio/DGA_DOID_8778_NRIP1_textmining', 'bio/DGA_DOID_8778_LILRB3_textmining', 'bio/DGA_DOID_8778_SCD_textmining', 'bio/DGA_DOID_8778_APOBEC3G_textmining', 'bio/DGA_DOID_8778_PCSK5_textmining', 'bio/DGA_DOID_8778_CCND1_textmining', 'bio/DGA_DOID_8778_NRBF2_textmining', 'bio/DGA_DOID_8778_HLA-DRB1_knowledge', 'bio/DGA_DOID_8778_CD300E_textmining', 'bio/DGA_DOID_8778_hsa-miR-27b-3p_textmining', 'bio/DGA_DOID_8778_MMP13_textmining', 'bio/DGA_DOID_8778_HAVCR2_textmining', 'bio/DGA_DOID_8778_CXCL3_textmining', 'bio/DGA_DOID_8778_IFIT3_textmining', 'bio/DGA_DOID_8778_SNRNP70_textmining', 'bio/DGA_DOID_8778_ATF6_textmining', 'bio/DGA_DOID_8778_PLEKHH1_textmining', 'bio/DGA_DOID_8778_HTR1A_textmining', 'bio/DGA_DOID_8778_TTC7A_textmining', 'bio/DGA_DOID_8778_MREG_textmining', 'bio/DGA_DOID_8778_ST3GAL4_textmining', 'bio/DGA_DOID_8778_CD247_textmining', 'bio/DGA_DOID_8778_SLC10A4_textmining', 'bio/DGA_DOID_8778_SCTR_textmining', 'bio/DGA_DOID_8778_TNFSF15_textmining', 'bio/DGA_DOID_8778_PSTPIP1_textmining', 'bio/DGA_DOID_8778_ANG_textmining', 'bio/DGA_DOID_8778_AQP11_textmining', 'bio/DGA_DOID_8778_DEFB124_textmining', 'bio/DGA_DOID_8778_LGR5_textmining', 'bio/DGA_DOID_8778_RNF138_textmining', 'bio/DGA_DOID_8778_S1PR5_textmining', 'bio/DGA_DOID_8778_SLAMF1_textmining', 'bio/DGA_DOID_8778_SULF1_textmining', 'bio/DGA_DOID_8778_BMP7_textmining', 'bio/DGA_DOID_8778_CDK6_textmining', 'bio/DGA_DOID_8778_PECAM1_textmining', 'bio/DGA_DOID_8778_B7RP1_experiments', 'bio/DGA_DOID_8778_PGAP3_textmining', 'bio/DGA_DOID_8778_SP7_textmining', 'bio/DGA_DOID_8778_MST1R_textmining', 'bio/DGA_DOID_8778_ADIPOR2_textmining', 'bio/DGA_DOID_8778_NCMAP_textmining', 'bio/DGA_DOID_8778_RNF31_textmining', 'bio/DGA_DOID_8778_RHBDF2_textmining', 'bio/DGA_DOID_8778_NLRX1_textmining', 'bio/DGA_DOID_8778_TXK_textmining', 'bio/DGA_DOID_8778_LIF_textmining', 'bio/DGA_DOID_8778_VAMP8_textmining', 'bio/DGA_DOID_8778_C1S_textmining', 'bio/DGA_DOID_8778_NKD1_experiments', 'bio/DGA_DOID_8778_IRAK4_textmining', 'bio/DGA_DOID_8778_RAB2A_textmining', 'bio/DGA_DOID_8778_RORC_textmining', 'bio/DGA_DOID_8778_IER3IP1_textmining', 'bio/DGA_DOID_8778_SELP_textmining', 'bio/DGA_DOID_8778_P2RX5_textmining', 'bio/DGA_DOID_8778_ENSP00000478610_textmining', 'bio/DGA_DOID_8778_CA13_textmining', 'bio/DGA_DOID_8778_CCNY_experiments', 'bio/DGA_DOID_8778_hsa-miR-19a-3p_textmining', 'bio/DGA_DOID_8778_C3_textmining', 'bio/DGA_DOID_8778_PREP_textmining', 'bio/DGA_DOID_8778_NFATC3_textmining', 'bio/DGA_DOID_8778_ABL1_textmining', 'bio/DGA_DOID_8778_CLDN5_textmining', 'bio/DGA_DOID_8778_ORM1_textmining', 'bio/DGA_DOID_8778_VCL_textmining', 'bio/DGA_DOID_8778_ST5_textmining', 'bio/DGA_DOID_8778_SLC36A4_experiments', 'bio/DGA_DOID_8778_BPI_textmining', 'bio/DGA_DOID_8778_C5orf56_textmining', 'bio/DGA_DOID_8778_ENO3_textmining', 'bio/DGA_DOID_8778_LGALS7_textmining', 'bio/DGA_DOID_8778_PPT1_textmining', 'bio/DGA_DOID_8778_TRAF3IP2_textmining', 'bio/DGA_DOID_8778_CX3CR1_textmining', 'bio/DGA_DOID_8778_DRD5_textmining', 'bio/DGA_DOID_8778_LRIG1_textmining', 'bio/DGA_DOID_8778_hsa-miR-26a-5p_textmining', 'bio/DGA_DOID_8778_CARD8_experiments', 'bio/DGA_DOID_8778_PAX5_textmining', 'bio/DGA_DOID_8778_SDHB_textmining', 'bio/DGA_DOID_8778_hsa-miR-16-5p_textmining', 'bio/DGA_DOID_8778_NPSR1_textmining', 'bio/DGA_DOID_8778_SLC30A8_textmining', 'bio/DGA_DOID_8778_STC1_textmining', 'bio/DGA_DOID_8778_LMX1B_textmining', 'bio/DGA_DOID_8778_LILRB2_textmining', 'bio/DGA_DOID_8778_SLC1A7_textmining', 'bio/DGA_DOID_8778_ZG16_textmining', 'bio/DGA_DOID_8778_TAPBP_textmining', 'bio/DGA_DOID_8778_MIB2_textmining', 'bio/DGA_DOID_8778_HMBS_textmining', 'bio/DGA_DOID_8778_SIRT3_textmining', 'bio/DGA_DOID_8778_PRUNE_textmining', 'bio/DGA_DOID_8778_SLC22A5_textmining', 'bio/DGA_DOID_8778_TNFSF13B_textmining', 'bio/DGA_DOID_8778_hsa-miR-10a-5p_textmining', 'bio/DGA_DOID_8778_C1orf106_experiments', 'bio/DGA_DOID_8778_AZGP1_textmining', 'bio/DGA_DOID_8778_MSH2_textmining', 'bio/DGA_DOID_8778_PPM1G_experiments', 'bio/DGA_DOID_8778_KLRD1_textmining', 'bio/DGA_DOID_8778_B7RP1_textmining', 'bio/DGA_DOID_8778_LALBA_textmining', 'bio/DGA_DOID_8778_GAST_textmining', 'bio/DGA_DOID_8778_MSH3_textmining', 'bio/DGA_DOID_8778_AVP_textmining', 'bio/DGA_DOID_8778_PHOX2B_textmining', 'bio/DGA_DOID_8778_MDM2_textmining', 'bio/DGA_DOID_8778_SGSH_textmining', 'bio/DGA_DOID_8778_MGMT_textmining', 'bio/DGA_DOID_8778_RARA_textmining', 'bio/DGA_DOID_8778_XKR6_textmining', 'bio/DGA_DOID_8778_TF_textmining', 'bio/DGA_DOID_8778_hsa-miR-324-3p_textmining', 'bio/DGA_DOID_8778_hsa-miR-193b-3p_textmining', 'bio/DGA_DOID_8778_CD46_textmining', 'bio/DGA_DOID_8778_SIK2_textmining', 'bio/DGA_DOID_8778_APOH_textmining', 'bio/DGA_DOID_8778_CALR_textmining', 'bio/DGA_DOID_8778_RPS6KA2_textmining', 'bio/DGA_DOID_8778_HLA-B_textmining', 'bio/DGA_DOID_8778_NOTCH4_textmining', 'bio/DGA_DOID_8778_ST6GAL1_textmining', 'bio/DGA_DOID_8778_USP7_textmining', 'bio/DGA_DOID_8778_RNF125_textmining', 'bio/DGA_DOID_8778_AGR2_textmining', 'bio/DGA_DOID_8778_MRAP_textmining', 'bio/DGA_DOID_8778_CASP6_textmining', 'bio/DGA_DOID_8778_BANF1_textmining', 'bio/DGA_DOID_8778_FERMT1_textmining', 'bio/DGA_DOID_8778_GOPC_textmining', 'bio/DGA_DOID_8778_HGF_textmining', 'bio/DGA_DOID_8778_FAM107B_textmining', 'bio/DGA_DOID_8778_CASP5_textmining', 'bio/DGA_DOID_8778_hsa-miR-151a-5p_textmining', 'bio/DGA_DOID_8778_GRASP_textmining', 'bio/DGA_DOID_8778_LAG3_textmining', 'bio/DGA_DOID_8778_RAN_textmining', 'bio/DGA_DOID_8778_KRTAP1-3_textmining', 'bio/DGA_DOID_8778_ALDH7A1_textmining', 'bio/DGA_DOID_8778_P2RX4_textmining', 'bio/DGA_DOID_8778_ZNF683_textmining', 'bio/DGA_DOID_8778_STEAP2-AS1_textmining', 'bio/DGA_DOID_8778_BLOC1S3_textmining', 'bio/DGA_DOID_8778_SOD1_textmining', 'bio/DGA_DOID_8778_WNT2_textmining', 'bio/DGA_DOID_8778_EHMT2_textmining', 'bio/DGA_DOID_8778_ANO6_textmining', 'bio/DGA_DOID_8778_PTGER1_textmining', 'bio/DGA_DOID_8778_ULBP1_textmining', 'bio/DGA_DOID_8778_MAPK9_textmining', 'bio/DGA_DOID_8778_CD72_textmining', 'bio/DGA_DOID_8778_EHD4_textmining', 'bio/DGA_DOID_8778_GBGT1_textmining', 'bio/DGA_DOID_8778_USP8_textmining', 'bio/DGA_DOID_8778_SP140_textmining', 'bio/DGA_DOID_8778_FCRL3_textmining', 'bio/DGA_DOID_8778_TRPC4_textmining', 'bio/DGA_DOID_8778_hsa-miR-1910-5p_textmining', 'bio/DGA_DOID_8778_RAG1_textmining', 'bio/DGA_DOID_8778_CD200_textmining', 'bio/DGA_DOID_8778_BTNL9_textmining', 'bio/DGA_DOID_8778_ALOX15B_textmining', 'bio/DGA_DOID_8778_IGF2_textmining', 'bio/DGA_DOID_8778_ALAD_textmining', 'bio/DGA_DOID_8778_ADAMTS12_textmining', 'bio/DGA_DOID_8778_RNF43_textmining', 'bio/DGA_DOID_8778_PARP1_textmining', 'bio/DGA_DOID_8778_RNH1_textmining', 'bio/DGA_DOID_8778_DNAJC17_textmining', 'bio/DGA_DOID_8778_SULF2_textmining', 'bio/DGA_DOID_8778_ABCG5_textmining', 'bio/DGA_DOID_8778_CD2_textmining', 'bio/DGA_DOID_8778_IL22RA2_textmining', 'bio/DGA_DOID_8778_LSR_textmining', 'bio/DGA_DOID_8778_NR1H2_textmining', 'bio/DGA_DOID_8778_UMOD_textmining', 'bio/DGA_DOID_8778_PIPOX_textmining', 'bio/DGA_DOID_8778_PITX1_textmining', 'bio/DGA_DOID_8778_OTUB1_textmining', 'bio/DGA_DOID_8778_MSN_textmining', 'bio/DGA_DOID_8778_TMEM17_textmining', 'bio/DGA_DOID_8778_TEK_textmining', 'bio/DGA_DOID_8778_SLC9A3R1_textmining', 'bio/DGA_DOID_8778_EBF1_textmining', 'bio/DGA_DOID_8778_UNC93B1_textmining', 'bio/DGA_DOID_8778_HDAC1_textmining', 'bio/DGA_DOID_8778_AQP10_textmining', 'bio/DGA_DOID_8778_DNAJB9_textmining', 'bio/DGA_DOID_8778_NEUROG3_textmining', 'bio/DGA_DOID_8778_DHCR7_textmining', 'bio/DGA_DOID_8778_CXCL2_textmining', 'bio/DGA_DOID_8778_PER3_experiments', 'bio/DGA_DOID_8778_PLEK_textmining', 'bio/DGA_DOID_8778_AFF3_textmining', 'bio/DGA_DOID_8778_PRKG1_textmining', 'bio/DGA_DOID_8778_ACKR2_textmining', 'bio/DGA_DOID_8778_hsa-miR-146b-5p_textmining', 'bio/DGA_DOID_8778_SGPL1_textmining', 'bio/DGA_DOID_8778_GMPS_textmining', 'bio/DGA_DOID_8778_MOCOS_textmining', 'bio/DGA_DOID_8778_CSNK2B_textmining', 'bio/DGA_DOID_8778_ID1_textmining', 'bio/DGA_DOID_8778_SPINK1_textmining', 'bio/DGA_DOID_8778_PRDX1_textmining', 'bio/DGA_DOID_8778_ENTPD3_textmining', 'bio/DGA_DOID_8778_CPAMD8_textmining', 'bio/DGA_DOID_8778_ENSP00000480348_textmining', 'bio/DGA_DOID_8778_H2AFX_textmining', 'bio/DGA_DOID_8778_CDA_textmining', 'bio/DGA_DOID_8778_C1GALT1C1_textmining'}\n", - "raw values: {'bio/DGA_DOID_8778_OSMR_textmining': ['bio/hg19_OSMR', 'bio/hg38_OSMR'], 'bio/DGA_DOID_8778_CGNL1_textmining': ['bio/hg19_CGNL1', 'bio/hg38_CGNL1'], 'bio/DGA_DOID_8778_NR3C1_textmining': ['bio/hg19_NR3C1', 'bio/hg38_NR3C1'], 'bio/DGA_DOID_8778_ISG15_textmining': ['bio/hg19_ISG15', 'bio/hg38_ISG15'], 'bio/DGA_DOID_8778_IL36A_textmining': ['bio/hg19_IL36A', 'bio/hg38_IL36A'], 'bio/DGA_DOID_8778_SIRT1_textmining': ['bio/hg19_SIRT1', 'bio/hg38_SIRT1'], 'bio/DGA_DOID_8778_MXD4_textmining': ['bio/hg19_MXD4', 'bio/hg38_MXD4'], 'bio/DGA_DOID_8778_PLD4_textmining': ['bio/hg19_PLD4', 'bio/hg38_PLD4'], 'bio/DGA_DOID_8778_CD177_textmining': ['bio/hg19_CD177', 'bio/hg38_CD177'], 'bio/DGA_DOID_8778_PLG_textmining': ['bio/hg19_PLG', 'bio/hg38_PLG'], 'bio/DGA_DOID_8778_LGALS7B_textmining': ['bio/hg19_LGALS7B', 'bio/hg38_LGALS7B'], 'bio/DGA_DOID_8778_TMEM232_textmining': ['bio/hg19_TMEM232', 'bio/hg38_TMEM232'], 'bio/DGA_DOID_8778_MLKL_textmining': ['bio/hg19_MLKL', 'bio/hg38_MLKL'], 'bio/DGA_DOID_8778_UBE2I_textmining': ['bio/hg19_UBE2I', 'bio/hg38_UBE2I'], 'bio/DGA_DOID_8778_GPR132_textmining': ['bio/hg19_GPR132', 'bio/hg38_GPR132'], 'bio/DGA_DOID_8778_ATXN2_textmining': ['bio/hg19_ATXN2', 'bio/hg38_ATXN2'], 'bio/DGA_DOID_8778_COMP_textmining': ['bio/hg19_COMP', 'bio/hg38_COMP'], 'bio/DGA_DOID_8778_EGFR_textmining': ['bio/hg19_EGFR', 'bio/hg38_EGFR'], 'bio/DGA_DOID_8778_SUCNR1_textmining': ['bio/hg19_SUCNR1', 'bio/hg38_SUCNR1'], 'bio/DGA_DOID_8778_hsa-miR-147b_textmining': [], 'bio/DGA_DOID_8778_CD6_textmining': ['bio/hg19_CD6', 'bio/hg38_CD6'], 'bio/DGA_DOID_8778_LAT_textmining': ['bio/hg19_LAT', 'bio/hg38_LAT'], 'bio/DGA_DOID_8778_ASPRV1_textmining': ['bio/hg19_ASPRV1', 'bio/hg38_ASPRV1'], 'bio/DGA_DOID_8778_MLLT4_textmining': ['bio/hg19_MLLT4'], 'bio/DGA_DOID_8778_GNA11_textmining': ['bio/hg19_GNA11', 'bio/hg38_GNA11'], 'bio/DGA_DOID_8778_IL18RAP_experiments': ['bio/hg19_IL18RAP', 'bio/hg38_IL18RAP'], 'bio/DGA_DOID_8778_RGS14_experiments': ['bio/hg19_RGS14', 'bio/hg38_RGS14'], 'bio/DGA_DOID_8778_IFIT1_textmining': ['bio/hg19_IFIT1', 'bio/hg38_IFIT1'], 'bio/DGA_DOID_8778_OGFR_textmining': ['bio/hg19_OGFR', 'bio/hg38_OGFR'], 'bio/DGA_DOID_8778_SORCS2_experiments': ['bio/hg19_SORCS2', 'bio/hg38_SORCS2'], 'bio/DGA_DOID_8778_CSF2RB_textmining': ['bio/hg19_CSF2RB', 'bio/hg38_CSF2RB'], 'bio/DGA_DOID_8778_MAP3K11_textmining': ['bio/hg19_MAP3K11', 'bio/hg38_MAP3K11'], 'bio/DGA_DOID_8778_ENSP00000485133_experiments': [], 'bio/DGA_DOID_8778_ITGA2_textmining': ['bio/hg19_ITGA2', 'bio/hg38_ITGA2'], 'bio/DGA_DOID_8778_JARID2_textmining': ['bio/hg19_JARID2', 'bio/hg38_JARID2'], 'bio/DGA_DOID_8778_TTC37_textmining': ['bio/hg19_TTC37', 'bio/hg38_TTC37'], 'bio/DGA_DOID_8778_CAPN14_textmining': ['bio/hg19_CAPN14', 'bio/hg38_CAPN14'], 'bio/DGA_DOID_8778_CYR61_textmining': ['bio/hg19_CYR61', 'bio/hg38_CYR61'], 'bio/DGA_DOID_8778_UBAC2_textmining': ['bio/hg19_UBAC2', 'bio/hg38_UBAC2'], 'bio/DGA_DOID_8778_RHCE_textmining': ['bio/hg19_RHCE', 'bio/hg38_RHCE'], 'bio/DGA_DOID_8778_ADRB2_textmining': ['bio/hg19_ADRB2', 'bio/hg38_ADRB2'], 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'bio/hg38_SOCS1'], 'bio/DGA_DOID_8778_DLG4_textmining': ['bio/hg19_DLG4', 'bio/hg38_DLG4'], 'bio/DGA_DOID_8778_TBC1D23_textmining': ['bio/hg19_TBC1D23', 'bio/hg38_TBC1D23'], 'bio/DGA_DOID_8778_KRT19_textmining': ['bio/hg19_KRT19', 'bio/hg38_KRT19'], 'bio/DGA_DOID_8778_GSDMC_textmining': ['bio/hg19_GSDMC', 'bio/hg38_GSDMC'], 'bio/DGA_DOID_8778_VIP_textmining': ['bio/hg19_VIP', 'bio/hg38_VIP'], 'bio/DGA_DOID_8778_GPR65_textmining': ['bio/hg19_GPR65', 'bio/hg38_GPR65'], 'bio/DGA_DOID_8778_FERMT2_textmining': ['bio/hg19_FERMT2', 'bio/hg38_FERMT2'], 'bio/DGA_DOID_8778_SLC25A20_textmining': ['bio/hg19_SLC25A20', 'bio/hg38_SLC25A20'], 'bio/DGA_DOID_8778_RIT1_experiments': ['bio/hg19_RIT1', 'bio/hg38_RIT1'], 'bio/DGA_DOID_8778_PTGES_textmining': ['bio/hg19_PTGES', 'bio/hg38_PTGES'], 'bio/DGA_DOID_8778_ZSCAN2_textmining': ['bio/hg19_ZSCAN2', 'bio/hg38_ZSCAN2'], 'bio/DGA_DOID_8778_SIGIRR_textmining': ['bio/hg19_SIGIRR', 'bio/hg38_SIGIRR'], 'bio/DGA_DOID_8778_GAS6_textmining': ['bio/hg19_GAS6', 'bio/hg38_GAS6'], 'bio/DGA_DOID_8778_CALCA_textmining': ['bio/hg19_CALCA', 'bio/hg38_CALCA'], 'bio/DGA_DOID_8778_HIST2H2AA3_textmining': ['bio/hg19_HIST2H2AA3', 'bio/hg38_HIST2H2AA3'], 'bio/DGA_DOID_8778_STAT5B_textmining': ['bio/hg19_STAT5B', 'bio/hg38_STAT5B'], 'bio/DGA_DOID_8778_RAET1L_textmining': ['bio/hg19_RAET1L', 'bio/hg38_RAET1L'], 'bio/DGA_DOID_8778_FIS1_textmining': ['bio/hg19_FIS1', 'bio/hg38_FIS1'], 'bio/DGA_DOID_8778_TNFRSF21_textmining': ['bio/hg19_TNFRSF21', 'bio/hg38_TNFRSF21'], 'bio/DGA_DOID_8778_TIGD1_textmining': ['bio/hg19_TIGD1', 'bio/hg38_TIGD1'], 'bio/DGA_DOID_8778_CA3_textmining': ['bio/hg19_CA3', 'bio/hg38_CA3'], 'bio/DGA_DOID_8778_FCGR2A_experiments': ['bio/hg19_FCGR2A', 'bio/hg38_FCGR2A'], 'bio/DGA_DOID_8778_HIST1H4I_textmining': ['bio/hg19_HIST1H4I', 'bio/hg38_HIST1H4I'], 'bio/DGA_DOID_8778_MMP19_textmining': ['bio/hg19_MMP19', 'bio/hg38_MMP19'], 'bio/DGA_DOID_8778_ITGB8_textmining': ['bio/hg19_ITGB8', 'bio/hg38_ITGB8'], 'bio/DGA_DOID_8778_SEPSECS_textmining': ['bio/hg19_SEPSECS', 'bio/hg38_SEPSECS'], 'bio/DGA_DOID_8778_CDKAL1_experiments': ['bio/hg19_CDKAL1', 'bio/hg38_CDKAL1'], 'bio/DGA_DOID_8778_AXIN1_textmining': ['bio/hg19_AXIN1', 'bio/hg38_AXIN1'], 'bio/DGA_DOID_8778_PIAS1_textmining': ['bio/hg19_PIAS1', 'bio/hg38_PIAS1'], 'bio/DGA_DOID_8778_POTEF_textmining': ['bio/hg19_POTEF', 'bio/hg38_POTEF'], 'bio/DGA_DOID_8778_TRIM31_textmining': ['bio/hg19_TRIM31', 'bio/hg38_TRIM31'], 'bio/DGA_DOID_8778_FAS_textmining': ['bio/hg19_FAS', 'bio/hg38_FAS'], 'bio/DGA_DOID_8778_LEAP2_textmining': ['bio/hg19_LEAP2', 'bio/hg38_LEAP2'], 'bio/DGA_DOID_8778_NCF2_textmining': ['bio/hg19_NCF2', 'bio/hg38_NCF2'], 'bio/DGA_DOID_8778_EEF1A1_textmining': ['bio/hg19_EEF1A1', 'bio/hg38_EEF1A1'], 'bio/DGA_DOID_8778_PNKD_experiments': ['bio/hg19_PNKD', 'bio/hg38_PNKD'], 'bio/DGA_DOID_8778_NTS_textmining': ['bio/hg19_NTS', 'bio/hg38_NTS'], 'bio/DGA_DOID_8778_IFI6_textmining': ['bio/hg19_IFI6', 'bio/hg38_IFI6'], 'bio/DGA_DOID_8778_DHFR_textmining': ['bio/hg19_DHFR', 'bio/hg38_DHFR'], 'bio/DGA_DOID_8778_NEGR1_textmining': ['bio/hg19_NEGR1', 'bio/hg38_NEGR1'], 'bio/DGA_DOID_8778_UPK1A_textmining': ['bio/hg19_UPK1A', 'bio/hg38_UPK1A'], 'bio/DGA_DOID_8778_IFNL2_textmining': ['bio/hg19_IFNL2', 'bio/hg38_IFNL2'], 'bio/DGA_DOID_8778_CUX2_textmining': ['bio/hg19_CUX2', 'bio/hg38_CUX2'], 'bio/DGA_DOID_8778_SMAD9_textmining': ['bio/hg19_SMAD9', 'bio/hg38_SMAD9'], 'bio/DGA_DOID_8778_PIK3R4_textmining': ['bio/hg19_PIK3R4', 'bio/hg38_PIK3R4'], 'bio/DGA_DOID_8778_S100A4_textmining': ['bio/hg19_S100A4', 'bio/hg38_S100A4'], 'bio/DGA_DOID_8778_LAP3_textmining': ['bio/hg19_LAP3', 'bio/hg38_LAP3'], 'bio/DGA_DOID_8778_S100A6_textmining': ['bio/hg19_S100A6', 'bio/hg38_S100A6'], 'bio/DGA_DOID_8778_DIO2_textmining': ['bio/hg19_DIO2', 'bio/hg38_DIO2'], 'bio/DGA_DOID_8778_NLRP4_textmining': ['bio/hg19_NLRP4', 'bio/hg38_NLRP4'], 'bio/DGA_DOID_8778_GPBAR1_textmining': ['bio/hg19_GPBAR1', 'bio/hg38_GPBAR1'], 'bio/DGA_DOID_8778_SELL_textmining': ['bio/hg19_SELL', 'bio/hg38_SELL'], 'bio/DGA_DOID_8778_LRP5_textmining': ['bio/hg19_LRP5', 'bio/hg38_LRP5'], 'bio/DGA_DOID_8778_hsa-miR-342-3p_textmining': [], 'bio/DGA_DOID_8778_RAB27A_textmining': ['bio/hg19_RAB27A', 'bio/hg38_RAB27A'], 'bio/DGA_DOID_8778_MAP3K1_textmining': ['bio/hg19_MAP3K1', 'bio/hg38_MAP3K1'], 'bio/DGA_DOID_8778_SYNGR1_textmining': ['bio/hg19_SYNGR1', 'bio/hg38_SYNGR1'], 'bio/DGA_DOID_8778_PTGR2_textmining': ['bio/hg19_PTGR2', 'bio/hg38_PTGR2'], 'bio/DGA_DOID_8778_CYP3A5_textmining': ['bio/hg19_CYP3A5', 'bio/hg38_CYP3A5'], 'bio/DGA_DOID_8778_TIRAP_textmining': ['bio/hg19_TIRAP', 'bio/hg38_TIRAP'], 'bio/DGA_DOID_8778_TGM5_textmining': ['bio/hg19_TGM5', 'bio/hg38_TGM5'], 'bio/DGA_DOID_8778_IGHV4-38-2_textmining': ['bio/hg19_IGHV4-38-2', 'bio/hg38_IGHV4-38-2'], 'bio/DGA_DOID_8778_GHR_textmining': ['bio/hg19_GHR', 'bio/hg38_GHR'], 'bio/DGA_DOID_8778_EPRS_textmining': ['bio/hg19_EPRS', 'bio/hg38_EPRS'], 'bio/DGA_DOID_8778_BCL2A1_textmining': ['bio/hg19_BCL2A1', 'bio/hg38_BCL2A1'], 'bio/DGA_DOID_8778_TLR1_textmining': ['bio/hg19_TLR1', 'bio/hg38_TLR1'], 'bio/DGA_DOID_8778_CD40_textmining': ['bio/hg19_CD40', 'bio/hg38_CD40'], 'bio/DGA_DOID_8778_DLL4_textmining': ['bio/hg19_DLL4', 'bio/hg38_DLL4'], 'bio/DGA_DOID_8778_hsa-miR-378a-3p_textmining': [], 'bio/DGA_DOID_8778_TLR4_textmining': ['bio/hg19_TLR4', 'bio/hg38_TLR4'], 'bio/DGA_DOID_8778_hsa-miR-181a-5p_textmining': [], 'bio/DGA_DOID_8778_MAP2K7_textmining': ['bio/hg19_MAP2K7', 'bio/hg38_MAP2K7'], 'bio/DGA_DOID_8778_GAD2_textmining': ['bio/hg19_GAD2', 'bio/hg38_GAD2'], 'bio/DGA_DOID_8778_GCDH_textmining': ['bio/hg19_GCDH', 'bio/hg38_GCDH'], 'bio/DGA_DOID_8778_HFE_textmining': ['bio/hg19_HFE', 'bio/hg38_HFE'], 'bio/DGA_DOID_8778_APOB_textmining': ['bio/hg19_APOB', 'bio/hg38_APOB'], 'bio/DGA_DOID_8778_MYOD1_textmining': ['bio/hg19_MYOD1', 'bio/hg38_MYOD1'], 'bio/DGA_DOID_8778_TYMP_textmining': ['bio/hg19_TYMP', 'bio/hg38_TYMP'], 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'bio/DGA_DOID_8778_PUS10_experiments': ['bio/hg19_PUS10', 'bio/hg38_PUS10'], 'bio/DGA_DOID_8778_hsa-mir-196a-1_textmining': [], 'bio/DGA_DOID_8778_SLC22A23_textmining': ['bio/hg19_SLC22A23', 'bio/hg38_SLC22A23'], 'bio/DGA_DOID_8778_ZBTB7B_textmining': ['bio/hg19_ZBTB7B', 'bio/hg38_ZBTB7B'], 'bio/DGA_DOID_8778_NCF4_textmining': ['bio/hg19_NCF4', 'bio/hg38_NCF4'], 'bio/DGA_DOID_8778_IL17RD_textmining': ['bio/hg19_IL17RD', 'bio/hg38_IL17RD'], 'bio/DGA_DOID_8778_RAB5A_textmining': ['bio/hg19_RAB5A', 'bio/hg38_RAB5A'], 'bio/DGA_DOID_8778_RICTOR_textmining': ['bio/hg19_RICTOR', 'bio/hg38_RICTOR'], 'bio/DGA_DOID_8778_IL17RA_textmining': ['bio/hg19_IL17RA', 'bio/hg38_IL17RA'], 'bio/DGA_DOID_8778_IL6ST_textmining': ['bio/hg19_IL6ST', 'bio/hg38_IL6ST'], 'bio/DGA_DOID_8778_REL_textmining': ['bio/hg19_REL', 'bio/hg38_REL'], 'bio/DGA_DOID_8778_SEMA6D_textmining': ['bio/hg19_SEMA6D', 'bio/hg38_SEMA6D'], 'bio/DGA_DOID_8778_hsa-miR-142-5p_textmining': [], 'bio/DGA_DOID_8778_KITLG_textmining': 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['bio/hg19_RSPO1', 'bio/hg38_RSPO1'], 'bio/DGA_DOID_8778_TALDO1_textmining': ['bio/hg19_TALDO1', 'bio/hg38_TALDO1'], 'bio/DGA_DOID_8778_TNFAIP3_textmining': ['bio/hg19_TNFAIP3', 'bio/hg38_TNFAIP3'], 'bio/DGA_DOID_8778_RAB10_textmining': ['bio/hg19_RAB10', 'bio/hg38_RAB10'], 'bio/DGA_DOID_8778_DRD1_textmining': ['bio/hg19_DRD1', 'bio/hg38_DRD1'], 'bio/DGA_DOID_8778_S100G_textmining': ['bio/hg19_S100G', 'bio/hg38_S100G'], 'bio/DGA_DOID_8778_ITGAL_experiments': ['bio/hg19_ITGAL', 'bio/hg38_ITGAL'], 'bio/DGA_DOID_8778_ESR1_textmining': ['bio/hg19_ESR1', 'bio/hg38_ESR1'], 'bio/DGA_DOID_8778_YDJC_textmining': ['bio/hg19_YDJC', 'bio/hg38_YDJC'], 'bio/DGA_DOID_8778_CCDC174_textmining': ['bio/hg19_CCDC174', 'bio/hg38_CCDC174'], 'bio/DGA_DOID_8778_APCS_textmining': ['bio/hg19_APCS', 'bio/hg38_APCS'], 'bio/DGA_DOID_8778_PSMB10_textmining': ['bio/hg19_PSMB10', 'bio/hg38_PSMB10'], 'bio/DGA_DOID_8778_MMP14_textmining': ['bio/hg19_MMP14', 'bio/hg38_MMP14'], 'bio/DGA_DOID_8778_F5_textmining': ['bio/hg19_F5', 'bio/hg38_F5'], 'bio/DGA_DOID_8778_ANXA8_textmining': ['bio/hg19_ANXA8', 'bio/hg38_ANXA8'], 'bio/DGA_DOID_8778_UBE2E2_textmining': ['bio/hg19_UBE2E2', 'bio/hg38_UBE2E2'], 'bio/DGA_DOID_8778_ARSD_textmining': ['bio/hg19_ARSD', 'bio/hg38_ARSD'], 'bio/DGA_DOID_8778_KLRF1_textmining': ['bio/hg19_KLRF1', 'bio/hg38_KLRF1'], 'bio/DGA_DOID_8778_LRRK1_textmining': ['bio/hg19_LRRK1', 'bio/hg38_LRRK1'], 'bio/DGA_DOID_8778_SLCO6A1_experiments': ['bio/hg19_SLCO6A1', 'bio/hg38_SLCO6A1'], 'bio/DGA_DOID_8778_EHBP1L1_textmining': ['bio/hg19_EHBP1L1', 'bio/hg38_EHBP1L1'], 'bio/DGA_DOID_8778_FERMT3_textmining': ['bio/hg19_FERMT3', 'bio/hg38_FERMT3'], 'bio/DGA_DOID_8778_OR6J1_textmining': ['bio/hg19_OR6J1', 'bio/hg38_OR6J1'], 'bio/DGA_DOID_8778_TRAF1_textmining': ['bio/hg19_TRAF1', 'bio/hg38_TRAF1'], 'bio/DGA_DOID_8778_SLCO2B1_textmining': ['bio/hg19_SLCO2B1', 'bio/hg38_SLCO2B1'], 'bio/DGA_DOID_8778_DPP9_textmining': ['bio/hg19_DPP9', 'bio/hg38_DPP9'], 'bio/DGA_DOID_8778_ERAS_textmining': ['bio/hg19_ERAS', 'bio/hg38_ERAS'], 'bio/DGA_DOID_8778_CMKBR6_textmining': [], 'bio/DGA_DOID_8778_CALU_textmining': ['bio/hg19_CALU', 'bio/hg38_CALU'], 'bio/DGA_DOID_8778_HDAC6_textmining': ['bio/hg19_HDAC6', 'bio/hg38_HDAC6'], 'bio/DGA_DOID_8778_CX3CL1_textmining': ['bio/hg19_CX3CL1', 'bio/hg38_CX3CL1'], 'bio/DGA_DOID_8778_SERPINB2_textmining': ['bio/hg19_SERPINB2', 'bio/hg38_SERPINB2'], 'bio/DGA_DOID_8778_TYK2_knowledge': ['bio/hg19_TYK2', 'bio/hg38_TYK2'], 'bio/DGA_DOID_8778_HSPA1A_textmining': ['bio/hg19_HSPA1A', 'bio/hg38_HSPA1A'], 'bio/DGA_DOID_8778_AHSG_textmining': ['bio/hg19_AHSG', 'bio/hg38_AHSG'], 'bio/DGA_DOID_8778_SNORA75_textmining': ['bio/hg19_SNORA75', 'bio/hg38_SNORA75'], 'bio/DGA_DOID_8778_TNFRSF10A_textmining': ['bio/hg19_TNFRSF10A', 'bio/hg38_TNFRSF10A'], 'bio/DGA_DOID_8778_RELB_textmining': ['bio/hg19_RELB', 'bio/hg38_RELB'], 'bio/DGA_DOID_8778_TXNDC9_textmining': ['bio/hg19_TXNDC9', 'bio/hg38_TXNDC9'], 'bio/DGA_DOID_8778_NF1_textmining': ['bio/hg19_NF1', 'bio/hg38_NF1'], 'bio/DGA_DOID_8778_TNFRSF13C_textmining': ['bio/hg19_TNFRSF13C', 'bio/hg38_TNFRSF13C'], 'bio/DGA_DOID_8778_ITIH4_textmining': ['bio/hg19_ITIH4', 'bio/hg38_ITIH4'], 'bio/DGA_DOID_8778_ADGB_textmining': ['bio/hg19_ADGB', 'bio/hg38_ADGB'], 'bio/DGA_DOID_8778_SOX9_textmining': ['bio/hg19_SOX9', 'bio/hg38_SOX9'], 'bio/DGA_DOID_8778_VNN1_textmining': ['bio/hg19_VNN1', 'bio/hg38_VNN1'], 'bio/DGA_DOID_8778_SMAD4_textmining': ['bio/hg19_SMAD4', 'bio/hg38_SMAD4'], 'bio/DGA_DOID_8778_C22orf34_textmining': ['bio/hg19_C22orf34', 'bio/hg38_C22orf34'], 'bio/DGA_DOID_8778_ALB_textmining': ['bio/hg19_ALB', 'bio/hg38_ALB'], 'bio/DGA_DOID_8778_LILRA4_textmining': ['bio/hg19_LILRA4', 'bio/hg38_LILRA4'], 'bio/DGA_DOID_8778_ACLY_textmining': ['bio/hg19_ACLY', 'bio/hg38_ACLY'], 'bio/DGA_DOID_8778_CRTC3_experiments': ['bio/hg19_CRTC3', 'bio/hg38_CRTC3'], 'bio/DGA_DOID_8778_PROK2_textmining': ['bio/hg19_PROK2', 'bio/hg38_PROK2'], 'bio/DGA_DOID_8778_MT1X_textmining': ['bio/hg19_MT1X', 'bio/hg38_MT1X'], 'bio/DGA_DOID_8778_ZXDC_textmining': ['bio/hg19_ZXDC', 'bio/hg38_ZXDC'], 'bio/DGA_DOID_8778_GPX7_textmining': ['bio/hg19_GPX7', 'bio/hg38_GPX7'], 'bio/DGA_DOID_8778_GUCY1A3_textmining': ['bio/hg19_GUCY1A3'], 'bio/DGA_DOID_8778_PIWIL4_textmining': ['bio/hg19_PIWIL4', 'bio/hg38_PIWIL4'], 'bio/DGA_DOID_8778_VR1_textmining': [], 'bio/DGA_DOID_8778_NR1H4_textmining': ['bio/hg19_NR1H4', 'bio/hg38_NR1H4'], 'bio/DGA_DOID_8778_TRIM33_textmining': ['bio/hg19_TRIM33', 'bio/hg38_TRIM33'], 'bio/DGA_DOID_8778_APAF1_textmining': ['bio/hg19_APAF1', 'bio/hg38_APAF1'], 'bio/DGA_DOID_8778_AOC3_textmining': ['bio/hg19_AOC3', 'bio/hg38_AOC3'], 'bio/DGA_DOID_8778_hsa-let-7e-5p_textmining': [], 'bio/DGA_DOID_8778_GCKR_experiments': ['bio/hg19_GCKR', 'bio/hg38_GCKR'], 'bio/DGA_DOID_8778_P2RX1_textmining': ['bio/hg19_P2RX1', 'bio/hg38_P2RX1'], 'bio/DGA_DOID_8778_BDKRB1_textmining': ['bio/hg19_BDKRB1', 'bio/hg38_BDKRB1'], 'bio/DGA_DOID_8778_SEPT4_textmining': ['bio/hg19_SEPT4', 'bio/hg38_SEPT4'], 'bio/DGA_DOID_8778_S100A12_textmining': ['bio/hg19_S100A12', 'bio/hg38_S100A12'], 'bio/DGA_DOID_8778_NRAS_textmining': ['bio/hg19_NRAS', 'bio/hg38_NRAS'], 'bio/DGA_DOID_8778_FAM156B_textmining': ['bio/hg19_FAM156B', 'bio/hg38_FAM156B'], 'bio/DGA_DOID_8778_KIR2DL4_textmining': ['bio/hg19_KIR2DL4', 'bio/hg38_KIR2DL4'], 'bio/DGA_DOID_8778_IPMK_experiments': ['bio/hg19_IPMK', 'bio/hg38_IPMK'], 'bio/DGA_DOID_8778_JUN_textmining': ['bio/hg19_JUN', 'bio/hg38_JUN'], 'bio/DGA_DOID_8778_SHROOM2_textmining': ['bio/hg19_SHROOM2', 'bio/hg38_SHROOM2'], 'bio/DGA_DOID_8778_WNT1_textmining': ['bio/hg19_WNT1', 'bio/hg38_WNT1'], 'bio/DGA_DOID_8778_IFNA21_textmining': ['bio/hg19_IFNA21', 'bio/hg38_IFNA21'], 'bio/DGA_DOID_8778_SH3GLB1_textmining': ['bio/hg19_SH3GLB1', 'bio/hg38_SH3GLB1'], 'bio/DGA_DOID_8778_ITGB7_textmining': ['bio/hg19_ITGB7', 'bio/hg38_ITGB7'], 'bio/DGA_DOID_8778_hsa-miR-4531_textmining': [], 'bio/DGA_DOID_8778_PTX3_textmining': ['bio/hg19_PTX3', 'bio/hg38_PTX3'], 'bio/DGA_DOID_8778_TCOF1_textmining': ['bio/hg19_TCOF1', 'bio/hg38_TCOF1'], 'bio/DGA_DOID_8778_CSF2RA_textmining': ['bio/hg19_CSF2RA', 'bio/hg38_CSF2RA'], 'bio/DGA_DOID_8778_NEU2_textmining': ['bio/hg19_NEU2', 'bio/hg38_NEU2'], 'bio/DGA_DOID_8778_PSMB9_textmining': ['bio/hg19_PSMB9', 'bio/hg38_PSMB9'], 'bio/DGA_DOID_8778_DAP_textmining': ['bio/hg19_DAP', 'bio/hg38_DAP'], 'bio/DGA_DOID_8778_ICAM2_textmining': ['bio/hg19_ICAM2', 'bio/hg38_ICAM2'], 'bio/DGA_DOID_8778_TYROBP_textmining': ['bio/hg19_TYROBP', 'bio/hg38_TYROBP'], 'bio/DGA_DOID_8778_NXPE1_experiments': ['bio/hg19_NXPE1', 'bio/hg38_NXPE1'], 'bio/DGA_DOID_8778_SLC26A2_textmining': ['bio/hg19_SLC26A2', 'bio/hg38_SLC26A2'], 'bio/DGA_DOID_8778_RSPO3_textmining': ['bio/hg19_RSPO3', 'bio/hg38_RSPO3'], 'bio/DGA_DOID_8778_LINC01475_textmining': ['bio/hg19_LINC01475', 'bio/hg38_LINC01475'], 'bio/DGA_DOID_8778_hsa-miR-375_textmining': [], 'bio/DGA_DOID_8778_ATG7_textmining': ['bio/hg19_ATG7', 'bio/hg38_ATG7'], 'bio/DGA_DOID_8778_LY96_textmining': ['bio/hg19_LY96', 'bio/hg38_LY96'], 'bio/DGA_DOID_8778_NR1I3_textmining': ['bio/hg19_NR1I3', 'bio/hg38_NR1I3'], 'bio/DGA_DOID_8778_SBNO2_experiments': ['bio/hg19_SBNO2', 'bio/hg38_SBNO2'], 'bio/DGA_DOID_8778_CLEC10A_textmining': ['bio/hg19_CLEC10A', 'bio/hg38_CLEC10A'], 'bio/DGA_DOID_8778_CUL5_textmining': ['bio/hg19_CUL5', 'bio/hg38_CUL5'], 'bio/DGA_DOID_8778_IFNGR2_experiments': ['bio/hg19_IFNGR2', 'bio/hg38_IFNGR2'], 'bio/DGA_DOID_8778_UBD_textmining': ['bio/hg19_UBD', 'bio/hg38_UBD'], 'bio/DGA_DOID_8778_MAP3K3_textmining': ['bio/hg19_MAP3K3', 'bio/hg38_MAP3K3'], 'bio/DGA_DOID_8778_PTGER4_experiments': ['bio/hg19_PTGER4', 'bio/hg38_PTGER4'], 'bio/DGA_DOID_8778_DNER_textmining': ['bio/hg19_DNER', 'bio/hg38_DNER'], 'bio/DGA_DOID_8778_GLP2R_textmining': ['bio/hg19_GLP2R', 'bio/hg38_GLP2R'], 'bio/DGA_DOID_8778_IRGM_knowledge': ['bio/hg19_IRGM', 'bio/hg38_IRGM'], 'bio/DGA_DOID_8778_C2orf49_textmining': ['bio/hg19_C2orf49', 'bio/hg38_C2orf49'], 'bio/DGA_DOID_8778_OR10A3_textmining': ['bio/hg19_OR10A3', 'bio/hg38_OR10A3'], 'bio/DGA_DOID_8778_ODC1_textmining': ['bio/hg19_ODC1', 'bio/hg38_ODC1'], 'bio/DGA_DOID_8778_SCN5A_textmining': ['bio/hg19_SCN5A', 'bio/hg38_SCN5A'], 'bio/DGA_DOID_8778_LRRIQ3_textmining': ['bio/hg19_LRRIQ3', 'bio/hg38_LRRIQ3'], 'bio/DGA_DOID_8778_CD200R1_textmining': ['bio/hg19_CD200R1', 'bio/hg38_CD200R1'], 'bio/DGA_DOID_8778_ANXA2_textmining': ['bio/hg19_ANXA2', 'bio/hg38_ANXA2'], 'bio/DGA_DOID_8778_FYB_textmining': ['bio/hg19_FYB'], 'bio/DGA_DOID_8778_KCNK2_textmining': ['bio/hg19_KCNK2', 'bio/hg38_KCNK2'], 'bio/DGA_DOID_8778_SPNS1_textmining': ['bio/hg19_SPNS1', 'bio/hg38_SPNS1'], 'bio/DGA_DOID_8778_MAMSTR_experiments': ['bio/hg19_MAMSTR', 'bio/hg38_MAMSTR'], 'bio/DGA_DOID_8778_TNXB_textmining': ['bio/hg19_TNXB', 'bio/hg38_TNXB'], 'bio/DGA_DOID_8778_TBX21_textmining': ['bio/hg19_TBX21', 'bio/hg38_TBX21'], 'bio/DGA_DOID_8778_ARF3_textmining': ['bio/hg19_ARF3', 'bio/hg38_ARF3'], 'bio/DGA_DOID_8778_RALB_textmining': ['bio/hg19_RALB', 'bio/hg38_RALB'], 'bio/DGA_DOID_8778_CBL_textmining': ['bio/hg19_CBL', 'bio/hg38_CBL'], 'bio/DGA_DOID_8778_CD5L_textmining': ['bio/hg19_CD5L', 'bio/hg38_CD5L'], 'bio/DGA_DOID_8778_DNAJC13_experiments': ['bio/hg19_DNAJC13', 'bio/hg38_DNAJC13'], 'bio/DGA_DOID_8778_ST3GAL2_textmining': ['bio/hg19_ST3GAL2', 'bio/hg38_ST3GAL2'], 'bio/DGA_DOID_8778_TRAT1_textmining': ['bio/hg19_TRAT1', 'bio/hg38_TRAT1'], 'bio/DGA_DOID_8778_SENP8_textmining': ['bio/hg19_SENP8', 'bio/hg38_SENP8'], 'bio/DGA_DOID_8778_PDGFB_textmining': ['bio/hg19_PDGFB', 'bio/hg38_PDGFB'], 'bio/DGA_DOID_8778_CHAT_textmining': ['bio/hg19_CHAT', 'bio/hg38_CHAT'], 'bio/DGA_DOID_8778_WNT2_experiments': ['bio/hg19_WNT2', 'bio/hg38_WNT2'], 'bio/DGA_DOID_8778_hsa-miR-21-5p_textmining': [], 'bio/DGA_DOID_8778_CSF3_textmining': ['bio/hg19_CSF3', 'bio/hg38_CSF3'], 'bio/DGA_DOID_8778_HPSE_textmining': ['bio/hg19_HPSE', 'bio/hg38_HPSE'], 'bio/DGA_DOID_8778_EPHB3_textmining': 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'bio/hg38_UBLCP1'], 'bio/DGA_DOID_8778_FCGR2A_textmining': ['bio/hg19_FCGR2A', 'bio/hg38_FCGR2A'], 'bio/DGA_DOID_8778_SLC6A14_textmining': ['bio/hg19_SLC6A14', 'bio/hg38_SLC6A14'], 'bio/DGA_DOID_8778_ACE2_textmining': ['bio/hg19_ACE2', 'bio/hg38_ACE2'], 'bio/DGA_DOID_8778_DNAH3_textmining': ['bio/hg19_DNAH3', 'bio/hg38_DNAH3'], 'bio/DGA_DOID_8778_hsa-miR-124-3p_textmining': [], 'bio/DGA_DOID_8778_CCL23_textmining': ['bio/hg19_CCL23', 'bio/hg38_CCL23'], 'bio/DGA_DOID_8778_HBS1L_textmining': ['bio/hg19_HBS1L', 'bio/hg38_HBS1L'], 'bio/DGA_DOID_8778_CNTF_textmining': ['bio/hg19_CNTF', 'bio/hg38_CNTF'], 'bio/DGA_DOID_8778_MGAM_textmining': ['bio/hg19_MGAM', 'bio/hg38_MGAM'], 'bio/DGA_DOID_8778_GPR84_textmining': ['bio/hg19_GPR84', 'bio/hg38_GPR84'], 'bio/DGA_DOID_8778_CSHL1_textmining': ['bio/hg19_CSHL1', 'bio/hg38_CSHL1'], 'bio/DGA_DOID_8778_ACTA2_textmining': ['bio/hg19_ACTA2', 'bio/hg38_ACTA2'], 'bio/DGA_DOID_8778_PDLIM5_textmining': ['bio/hg19_PDLIM5', 'bio/hg38_PDLIM5'], 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'bio/DGA_DOID_8778_hsa-miR-26b-5p_textmining': [], 'bio/DGA_DOID_8778_CHST4_textmining': ['bio/hg19_CHST4', 'bio/hg38_CHST4'], 'bio/DGA_DOID_8778_FCRL4_textmining': ['bio/hg19_FCRL4', 'bio/hg38_FCRL4'], 'bio/DGA_DOID_8778_CRHR1_textmining': ['bio/hg19_CRHR1', 'bio/hg38_CRHR1'], 'bio/DGA_DOID_8778_CA1_textmining': ['bio/hg19_CA1', 'bio/hg38_CA1'], 'bio/DGA_DOID_8778_CDKN3_textmining': ['bio/hg19_CDKN3', 'bio/hg38_CDKN3'], 'bio/DGA_DOID_8778_SLC7A2_textmining': ['bio/hg19_SLC7A2', 'bio/hg38_SLC7A2'], 'bio/DGA_DOID_8778_THEMIS_experiments': ['bio/hg19_THEMIS', 'bio/hg38_THEMIS'], 'bio/DGA_DOID_8778_PLA2G5_textmining': ['bio/hg19_PLA2G5', 'bio/hg38_PLA2G5'], 'bio/DGA_DOID_8778_ABHD8_textmining': ['bio/hg19_ABHD8', 'bio/hg38_ABHD8'], 'bio/DGA_DOID_8778_TSPO_textmining': ['bio/hg19_TSPO', 'bio/hg38_TSPO'], 'bio/DGA_DOID_8778_RNASET2_experiments': ['bio/hg19_RNASET2', 'bio/hg38_RNASET2'], 'bio/DGA_DOID_8778_RBFOX3_textmining': ['bio/hg19_RBFOX3', 'bio/hg38_RBFOX3'], 'bio/DGA_DOID_8778_TGM2_textmining': ['bio/hg19_TGM2', 'bio/hg38_TGM2'], 'bio/DGA_DOID_8778_TPI1_textmining': ['bio/hg19_TPI1', 'bio/hg38_TPI1'], 'bio/DGA_DOID_8778_RGS4_textmining': ['bio/hg19_RGS4', 'bio/hg38_RGS4'], 'bio/DGA_DOID_8778_HNMT_textmining': ['bio/hg19_HNMT', 'bio/hg38_HNMT'], 'bio/DGA_DOID_8778_GNA12_textmining': ['bio/hg19_GNA12', 'bio/hg38_GNA12'], 'bio/DGA_DOID_8778_ERBB3_textmining': ['bio/hg19_ERBB3', 'bio/hg38_ERBB3'], 'bio/DGA_DOID_8778_IL17B_textmining': ['bio/hg19_IL17B', 'bio/hg38_IL17B'], 'bio/DGA_DOID_8778_SBK1_textmining': ['bio/hg19_SBK1', 'bio/hg38_SBK1'], 'bio/DGA_DOID_8778_LPO_textmining': ['bio/hg19_LPO', 'bio/hg38_LPO'], 'bio/DGA_DOID_8778_CRTC3_textmining': ['bio/hg19_CRTC3', 'bio/hg38_CRTC3'], 'bio/DGA_DOID_8778_RCL1_textmining': ['bio/hg19_RCL1', 'bio/hg38_RCL1'], 'bio/DGA_DOID_8778_MYLK3_textmining': ['bio/hg19_MYLK3', 'bio/hg38_MYLK3'], 'bio/DGA_DOID_8778_FABP4_textmining': ['bio/hg19_FABP4', 'bio/hg38_FABP4'], 'bio/DGA_DOID_8778_SFTPC_textmining': ['bio/hg19_SFTPC', 'bio/hg38_SFTPC'], 'bio/DGA_DOID_8778_ENSP00000426906_textmining': [], 'bio/DGA_DOID_8778_BAG3_textmining': ['bio/hg19_BAG3', 'bio/hg38_BAG3'], 'bio/DGA_DOID_8778_hsa-miR-149-3p_textmining': [], 'bio/DGA_DOID_8778_UHRF1_textmining': ['bio/hg19_UHRF1', 'bio/hg38_UHRF1'], 'bio/DGA_DOID_8778_USP17L3_textmining': ['bio/hg19_USP17L3', 'bio/hg38_USP17L3'], 'bio/DGA_DOID_8778_TNFAIP2_textmining': ['bio/hg19_TNFAIP2', 'bio/hg38_TNFAIP2'], 'bio/DGA_DOID_8778_BSN_textmining': ['bio/hg19_BSN', 'bio/hg38_BSN'], 'bio/DGA_DOID_8778_CSNK2A1_textmining': ['bio/hg19_CSNK2A1', 'bio/hg38_CSNK2A1'], 'bio/DGA_DOID_8778_CSF3R_textmining': ['bio/hg19_CSF3R', 'bio/hg38_CSF3R'], 'bio/DGA_DOID_8778_UGT1A6_textmining': ['bio/hg19_UGT1A6', 'bio/hg38_UGT1A6'], 'bio/DGA_DOID_8778_CEMIP_textmining': ['bio/hg19_CEMIP', 'bio/hg38_CEMIP'], 'bio/DGA_DOID_8778_PAH_textmining': ['bio/hg19_PAH', 'bio/hg38_PAH'], 'bio/DGA_DOID_8778_HEATR3_textmining': ['bio/hg19_HEATR3', 'bio/hg38_HEATR3'], 'bio/DGA_DOID_8778_CD207_textmining': ['bio/hg19_CD207', 'bio/hg38_CD207'], 'bio/DGA_DOID_8778_GNB2L1_textmining': ['bio/hg19_GNB2L1'], 'bio/DGA_DOID_8778_ARG1_textmining': ['bio/hg19_ARG1', 'bio/hg38_ARG1'], 'bio/DGA_DOID_8778_CNR2_textmining': ['bio/hg19_CNR2', 'bio/hg38_CNR2'], 'bio/DGA_DOID_8778_MCL1_textmining': ['bio/hg19_MCL1', 'bio/hg38_MCL1'], 'bio/DGA_DOID_8778_IFITM1_textmining': ['bio/hg19_IFITM1', 'bio/hg38_IFITM1'], 'bio/DGA_DOID_8778_ZPBP2_textmining': ['bio/hg19_ZPBP2', 'bio/hg38_ZPBP2'], 'bio/DGA_DOID_8778_TXNDC15_textmining': ['bio/hg19_TXNDC15', 'bio/hg38_TXNDC15'], 'bio/DGA_DOID_8778_CCL5_textmining': ['bio/hg19_CCL5', 'bio/hg38_CCL5'], 'bio/DGA_DOID_8778_PCSK7_textmining': ['bio/hg19_PCSK7', 'bio/hg38_PCSK7'], 'bio/DGA_DOID_8778_SOCS7_textmining': ['bio/hg19_SOCS7', 'bio/hg38_SOCS7'], 'bio/DGA_DOID_8778_DUSP1_textmining': ['bio/hg19_DUSP1', 'bio/hg38_DUSP1'], 'bio/DGA_DOID_8778_IL5_textmining': ['bio/hg19_IL5', 'bio/hg38_IL5'], 'bio/DGA_DOID_8778_RHOH_textmining': ['bio/hg19_RHOH', 'bio/hg38_RHOH'], 'bio/DGA_DOID_8778_PLA2G4B_textmining': ['bio/hg19_PLA2G4B', 'bio/hg38_PLA2G4B'], 'bio/DGA_DOID_8778_YES1_textmining': ['bio/hg19_YES1', 'bio/hg38_YES1'], 'bio/DGA_DOID_8778_AC007182.6_textmining': [], 'bio/DGA_DOID_8778_TSPAN14_textmining': ['bio/hg19_TSPAN14', 'bio/hg38_TSPAN14'], 'bio/DGA_DOID_8778_TSC22D3_textmining': ['bio/hg19_TSC22D3', 'bio/hg38_TSC22D3'], 'bio/DGA_DOID_8778_SELE_textmining': ['bio/hg19_SELE', 'bio/hg38_SELE'], 'bio/DGA_DOID_8778_GATA2_textmining': ['bio/hg19_GATA2', 'bio/hg38_GATA2'], 'bio/DGA_DOID_8778_APBA1_textmining': ['bio/hg19_APBA1', 'bio/hg38_APBA1'], 'bio/DGA_DOID_8778_STAT3_textmining': ['bio/hg19_STAT3', 'bio/hg38_STAT3'], 'bio/DGA_DOID_8778_SULT1A2_textmining': ['bio/hg19_SULT1A2', 'bio/hg38_SULT1A2'], 'bio/DGA_DOID_8778_ASIC3_textmining': ['bio/hg19_ASIC3', 'bio/hg38_ASIC3'], 'bio/DGA_DOID_8778_CLDN3_textmining': ['bio/hg19_CLDN3', 'bio/hg38_CLDN3'], 'bio/DGA_DOID_8778_IL13_textmining': ['bio/hg19_IL13', 'bio/hg38_IL13'], 'bio/DGA_DOID_8778_CUBN_textmining': ['bio/hg19_CUBN', 'bio/hg38_CUBN'], 'bio/DGA_DOID_8778_CTSB_textmining': ['bio/hg19_CTSB', 'bio/hg38_CTSB'], 'bio/DGA_DOID_8778_NOXO1_textmining': ['bio/hg19_NOXO1', 'bio/hg38_NOXO1'], 'bio/DGA_DOID_8778_hsa-miR-301a-5p_textmining': [], 'bio/DGA_DOID_8778_WDR6_textmining': ['bio/hg19_WDR6', 'bio/hg38_WDR6'], 'bio/DGA_DOID_8778_MAP3K7_textmining': ['bio/hg19_MAP3K7', 'bio/hg38_MAP3K7'], 'bio/DGA_DOID_8778_UBASH3A_textmining': ['bio/hg19_UBASH3A', 'bio/hg38_UBASH3A'], 'bio/DGA_DOID_8778_CD34_textmining': ['bio/hg19_CD34', 'bio/hg38_CD34'], 'bio/DGA_DOID_8778_hsa-miR-4447_textmining': [], 'bio/DGA_DOID_8778_IFNGR1_textmining': ['bio/hg19_IFNGR1', 'bio/hg38_IFNGR1'], 'bio/DGA_DOID_8778_NAT1_textmining': ['bio/hg19_NAT1', 'bio/hg38_NAT1'], 'bio/DGA_DOID_8778_SLC30A1_textmining': ['bio/hg19_SLC30A1', 'bio/hg38_SLC30A1'], 'bio/DGA_DOID_8778_CDH5_textmining': ['bio/hg19_CDH5', 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'bio/DGA_DOID_8778_GP6_textmining': ['bio/hg19_GP6', 'bio/hg38_GP6'], 'bio/DGA_DOID_8778_SIL1_textmining': ['bio/hg19_SIL1', 'bio/hg38_SIL1'], 'bio/DGA_DOID_8778_PGM1_textmining': ['bio/hg19_PGM1', 'bio/hg38_PGM1'], 'bio/DGA_DOID_8778_IMPDH2_textmining': ['bio/hg19_IMPDH2', 'bio/hg38_IMPDH2'], 'bio/DGA_DOID_8778_ELF3_textmining': ['bio/hg19_ELF3', 'bio/hg38_ELF3'], 'bio/DGA_DOID_8778_RXRA_textmining': ['bio/hg19_RXRA', 'bio/hg38_RXRA'], 'bio/DGA_DOID_8778_HIST2H4A_textmining': ['bio/hg19_HIST2H4A', 'bio/hg38_HIST2H4A'], 'bio/DGA_DOID_8778_GATA1_textmining': ['bio/hg19_GATA1', 'bio/hg38_GATA1'], 'bio/DGA_DOID_8778_ACP5_textmining': ['bio/hg19_ACP5', 'bio/hg38_ACP5'], 'bio/DGA_DOID_8778_MT1F_textmining': ['bio/hg19_MT1F', 'bio/hg38_MT1F'], 'bio/DGA_DOID_8778_RAB8A_textmining': ['bio/hg19_RAB8A', 'bio/hg38_RAB8A'], 'bio/DGA_DOID_8778_hsa-miR-20a-5p_textmining': [], 'bio/DGA_DOID_8778_PMCH_textmining': ['bio/hg19_PMCH', 'bio/hg38_PMCH'], 'bio/DGA_DOID_8778_CD69_textmining': 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'bio/DGA_DOID_8778_P2RX7_textmining': ['bio/hg19_P2RX7', 'bio/hg38_P2RX7'], 'bio/DGA_DOID_8778_WNT2B_textmining': ['bio/hg19_WNT2B', 'bio/hg38_WNT2B'], 'bio/DGA_DOID_8778_VLDLR_textmining': ['bio/hg19_VLDLR', 'bio/hg38_VLDLR'], 'bio/DGA_DOID_8778_DHRS9_textmining': ['bio/hg19_DHRS9', 'bio/hg38_DHRS9'], 'bio/DGA_DOID_8778_KLRC2_textmining': ['bio/hg19_KLRC2', 'bio/hg38_KLRC2'], 'bio/DGA_DOID_8778_SLC7A3_textmining': ['bio/hg19_SLC7A3', 'bio/hg38_SLC7A3'], 'bio/DGA_DOID_8778_GATA6_textmining': ['bio/hg19_GATA6', 'bio/hg38_GATA6'], 'bio/DGA_DOID_8778_DMXL1_textmining': ['bio/hg19_DMXL1', 'bio/hg38_DMXL1'], 'bio/DGA_DOID_8778_IGFBP2_textmining': ['bio/hg19_IGFBP2', 'bio/hg38_IGFBP2'], 'bio/DGA_DOID_8778_CD84_textmining': ['bio/hg19_CD84', 'bio/hg38_CD84'], 'bio/DGA_DOID_8778_HPRT1_textmining': ['bio/hg19_HPRT1', 'bio/hg38_HPRT1'], 'bio/DGA_DOID_8778_OS9_textmining': ['bio/hg19_OS9', 'bio/hg38_OS9'], 'bio/DGA_DOID_8778_HLA-DRA_textmining': ['bio/hg19_HLA-DRA', 'bio/hg38_HLA-DRA'], 'bio/DGA_DOID_8778_SLC11A2_textmining': ['bio/hg19_SLC11A2', 'bio/hg38_SLC11A2'], 'bio/DGA_DOID_8778_hsa-miR-31-5p_textmining': [], 'bio/DGA_DOID_8778_CDKN1A_textmining': ['bio/hg19_CDKN1A', 'bio/hg38_CDKN1A'], 'bio/DGA_DOID_8778_VIPR2_textmining': ['bio/hg19_VIPR2', 'bio/hg38_VIPR2'], 'bio/DGA_DOID_8778_DYNLT1_textmining': ['bio/hg19_DYNLT1', 'bio/hg38_DYNLT1'], 'bio/DGA_DOID_8778_APEX1_textmining': ['bio/hg19_APEX1', 'bio/hg38_APEX1'], 'bio/DGA_DOID_8778_ID2_textmining': ['bio/hg19_ID2', 'bio/hg38_ID2'], 'bio/DGA_DOID_8778_TDO2_textmining': ['bio/hg19_TDO2', 'bio/hg38_TDO2'], 'bio/DGA_DOID_8778_TNIP3_textmining': ['bio/hg19_TNIP3', 'bio/hg38_TNIP3'], 'bio/DGA_DOID_8778_SERPINA7_textmining': ['bio/hg19_SERPINA7', 'bio/hg38_SERPINA7'], 'bio/DGA_DOID_8778_DDIT3_textmining': ['bio/hg19_DDIT3', 'bio/hg38_DDIT3'], 'bio/DGA_DOID_8778_FCER1G_textmining': ['bio/hg19_FCER1G', 'bio/hg38_FCER1G'], 'bio/DGA_DOID_8778_IFI27_textmining': ['bio/hg19_IFI27', 'bio/hg38_IFI27'], 'bio/DGA_DOID_8778_MUC17_textmining': ['bio/hg19_MUC17', 'bio/hg38_MUC17'], 'bio/DGA_DOID_8778_MT3_textmining': ['bio/hg19_MT3', 'bio/hg38_MT3'], 'bio/DGA_DOID_8778_MERTK_textmining': ['bio/hg19_MERTK', 'bio/hg38_MERTK'], 'bio/DGA_DOID_8778_ATG3_textmining': ['bio/hg19_ATG3', 'bio/hg38_ATG3'], 'bio/DGA_DOID_8778_CTC-535M15.2_textmining': [], 'bio/DGA_DOID_8778_NLRC4_textmining': ['bio/hg19_NLRC4', 'bio/hg38_NLRC4'], 'bio/DGA_DOID_8778_CHUK_textmining': ['bio/hg19_CHUK', 'bio/hg38_CHUK'], 'bio/DGA_DOID_8778_OLR1_textmining': ['bio/hg19_OLR1', 'bio/hg38_OLR1'], 'bio/DGA_DOID_8778_SNX20_experiments': ['bio/hg19_SNX20', 'bio/hg38_SNX20'], 'bio/DGA_DOID_8778_ADORA2B_textmining': ['bio/hg19_ADORA2B', 'bio/hg38_ADORA2B'], 'bio/DGA_DOID_8778_HRAS_textmining': ['bio/hg19_HRAS', 'bio/hg38_HRAS'], 'bio/DGA_DOID_8778_hsa-miR-125a-5p_textmining': [], 'bio/DGA_DOID_8778_LILRA5_textmining': ['bio/hg19_LILRA5', 'bio/hg38_LILRA5'], 'bio/DGA_DOID_8778_PON1_textmining': ['bio/hg19_PON1', 'bio/hg38_PON1'], 'bio/DGA_DOID_8778_PTBP1_textmining': ['bio/hg19_PTBP1', 'bio/hg38_PTBP1'], 'bio/DGA_DOID_8778_MMP2_textmining': ['bio/hg19_MMP2', 'bio/hg38_MMP2'], 'bio/DGA_DOID_8778_KIF3A_textmining': ['bio/hg19_KIF3A', 'bio/hg38_KIF3A'], 'bio/DGA_DOID_8778_CELA3B_textmining': ['bio/hg19_CELA3B', 'bio/hg38_CELA3B'], 'bio/DGA_DOID_8778_CACNA1E_textmining': ['bio/hg19_CACNA1E', 'bio/hg38_CACNA1E'], 'bio/DGA_DOID_8778_HSPA2_textmining': ['bio/hg19_HSPA2', 'bio/hg38_HSPA2'], 'bio/DGA_DOID_8778_HDAC7_textmining': ['bio/hg19_HDAC7', 'bio/hg38_HDAC7'], 'bio/DGA_DOID_8778_PLCG2_textmining': ['bio/hg19_PLCG2', 'bio/hg38_PLCG2'], 'bio/DGA_DOID_8778_CERK_textmining': ['bio/hg19_CERK', 'bio/hg38_CERK'], 'bio/DGA_DOID_8778_DPEP1_textmining': ['bio/hg19_DPEP1', 'bio/hg38_DPEP1'], 'bio/DGA_DOID_8778_CAPN15_textmining': ['bio/hg19_CAPN15', 'bio/hg38_CAPN15'], 'bio/DGA_DOID_8778_SMURF1_textmining': ['bio/hg19_SMURF1', 'bio/hg38_SMURF1'], 'bio/DGA_DOID_8778_NDUFS7_textmining': ['bio/hg19_NDUFS7', 'bio/hg38_NDUFS7'], 'bio/DGA_DOID_8778_PIKFYVE_textmining': ['bio/hg19_PIKFYVE', 'bio/hg38_PIKFYVE'], 'bio/DGA_DOID_8778_BACH2_textmining': ['bio/hg19_BACH2', 'bio/hg38_BACH2'], 'bio/DGA_DOID_8778_CCNA2_textmining': ['bio/hg19_CCNA2', 'bio/hg38_CCNA2'], 'bio/DGA_DOID_8778_TRPM6_textmining': ['bio/hg19_TRPM6', 'bio/hg38_TRPM6'], 'bio/DGA_DOID_8778_NXPE1_textmining': ['bio/hg19_NXPE1', 'bio/hg38_NXPE1'], 'bio/DGA_DOID_8778_PMM1_textmining': ['bio/hg19_PMM1', 'bio/hg38_PMM1'], 'bio/DGA_DOID_8778_C1R_textmining': ['bio/hg19_C1R', 'bio/hg38_C1R'], 'bio/DGA_DOID_8778_CFI_textmining': ['bio/hg19_CFI', 'bio/hg38_CFI'], 'bio/DGA_DOID_8778_CGB8_textmining': ['bio/hg19_CGB8', 'bio/hg38_CGB8'], 'bio/DGA_DOID_8778_IL2RA_textmining': ['bio/hg19_IL2RA', 'bio/hg38_IL2RA'], 'bio/DGA_DOID_8778_SDCCAG3_textmining': ['bio/hg19_SDCCAG3'], 'bio/DGA_DOID_8778_GP2_textmining': ['bio/hg19_GP2', 'bio/hg38_GP2'], 'bio/DGA_DOID_8778_LRG1_textmining': ['bio/hg19_LRG1', 'bio/hg38_LRG1'], 'bio/DGA_DOID_8778_GBA_textmining': ['bio/hg19_GBA', 'bio/hg38_GBA'], 'bio/DGA_DOID_8778_BBOX1_textmining': ['bio/hg19_BBOX1', 'bio/hg38_BBOX1'], 'bio/DGA_DOID_8778_HGFAC_textmining': ['bio/hg19_HGFAC', 'bio/hg38_HGFAC'], 'bio/DGA_DOID_8778_ELK1_textmining': ['bio/hg19_ELK1', 'bio/hg38_ELK1'], 'bio/DGA_DOID_8778_MME_textmining': ['bio/hg19_MME', 'bio/hg38_MME'], 'bio/DGA_DOID_8778_CP_textmining': ['bio/hg19_CP', 'bio/hg38_CP'], 'bio/DGA_DOID_8778_FOSB_textmining': ['bio/hg19_FOSB', 'bio/hg38_FOSB'], 'bio/DGA_DOID_8778_ZNF649-AS1_textmining': ['bio/hg19_ZNF649-AS1', 'bio/hg38_ZNF649-AS1'], 'bio/DGA_DOID_8778_F13A1_textmining': ['bio/hg19_F13A1', 'bio/hg38_F13A1'], 'bio/DGA_DOID_8778_EFR3B_textmining': ['bio/hg19_EFR3B', 'bio/hg38_EFR3B'], 'bio/DGA_DOID_8778_PDXK_textmining': ['bio/hg19_PDXK', 'bio/hg38_PDXK'], 'bio/DGA_DOID_8778_hsa-let-7f-5p_textmining': [], 'bio/DGA_DOID_8778_AP001057.1_textmining': ['bio/hg38_AP001057.1'], 'bio/DGA_DOID_8778_ALOX12_textmining': ['bio/hg19_ALOX12', 'bio/hg38_ALOX12'], 'bio/DGA_DOID_8778_FGL2_textmining': ['bio/hg19_FGL2', 'bio/hg38_FGL2'], 'bio/DGA_DOID_8778_CFLAR_textmining': ['bio/hg19_CFLAR', 'bio/hg38_CFLAR'], 'bio/DGA_DOID_8778_CLU_textmining': ['bio/hg19_CLU', 'bio/hg38_CLU'], 'bio/DGA_DOID_8778_ARRB1_textmining': ['bio/hg19_ARRB1', 'bio/hg38_ARRB1'], 'bio/DGA_DOID_8778_SP6_textmining': ['bio/hg19_SP6', 'bio/hg38_SP6'], 'bio/DGA_DOID_8778_ADAMTS5_textmining': ['bio/hg19_ADAMTS5', 'bio/hg38_ADAMTS5'], 'bio/DGA_DOID_8778_FIG4_textmining': ['bio/hg19_FIG4', 'bio/hg38_FIG4'], 'bio/DGA_DOID_8778_CEBPB_textmining': ['bio/hg19_CEBPB', 'bio/hg38_CEBPB'], 'bio/DGA_DOID_8778_TEPP_textmining': ['bio/hg19_TEPP', 'bio/hg38_TEPP'], 'bio/DGA_DOID_8778_ATF3_textmining': ['bio/hg19_ATF3', 'bio/hg38_ATF3'], 'bio/DGA_DOID_8778_CHRFAM7A_textmining': ['bio/hg19_CHRFAM7A', 'bio/hg38_CHRFAM7A'], 'bio/DGA_DOID_8778_TNFRSF8_textmining': ['bio/hg19_TNFRSF8', 'bio/hg38_TNFRSF8'], 'bio/DGA_DOID_8778_GPR183_textmining': ['bio/hg19_GPR183', 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'bio/hg38_CTSS'], 'bio/DGA_DOID_8778_ALCAM_textmining': ['bio/hg19_ALCAM', 'bio/hg38_ALCAM'], 'bio/DGA_DOID_8778_OLIG3_textmining': ['bio/hg19_OLIG3', 'bio/hg38_OLIG3'], 'bio/DGA_DOID_8778_PRKCD_textmining': ['bio/hg19_PRKCD', 'bio/hg38_PRKCD'], 'bio/DGA_DOID_8778_DUSP10_textmining': ['bio/hg19_DUSP10', 'bio/hg38_DUSP10'], 'bio/DGA_DOID_8778_LGALS3BP_textmining': ['bio/hg19_LGALS3BP', 'bio/hg38_LGALS3BP'], 'bio/DGA_DOID_8778_SEPT2_textmining': ['bio/hg19_SEPT2', 'bio/hg38_SEPT2'], 'bio/DGA_DOID_8778_AGT_textmining': ['bio/hg19_AGT', 'bio/hg38_AGT'], 'bio/DGA_DOID_8778_GOLPH3_textmining': ['bio/hg19_GOLPH3', 'bio/hg38_GOLPH3'], 'bio/DGA_DOID_8778_PTPRC_textmining': ['bio/hg19_PTPRC', 'bio/hg38_PTPRC'], 'bio/DGA_DOID_8778_CREB5_textmining': ['bio/hg19_CREB5', 'bio/hg38_CREB5'], 'bio/DGA_DOID_8778_AP3B1_textmining': ['bio/hg19_AP3B1', 'bio/hg38_AP3B1'], 'bio/DGA_DOID_8778_CHEK2_textmining': ['bio/hg19_CHEK2', 'bio/hg38_CHEK2'], 'bio/DGA_DOID_8778_EZR_textmining': ['bio/hg19_EZR', 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'bio/hg38_FBXL19'], 'bio/DGA_DOID_8778_PELI3_textmining': ['bio/hg19_PELI3', 'bio/hg38_PELI3'], 'bio/DGA_DOID_8778_BMP3_textmining': ['bio/hg19_BMP3', 'bio/hg38_BMP3'], 'bio/DGA_DOID_8778_SMAD3_textmining': ['bio/hg19_SMAD3', 'bio/hg38_SMAD3'], 'bio/DGA_DOID_8778_CLCA4_textmining': ['bio/hg19_CLCA4', 'bio/hg38_CLCA4'], 'bio/DGA_DOID_8778_IDO1_textmining': ['bio/hg19_IDO1', 'bio/hg38_IDO1'], 'bio/DGA_DOID_8778_OR13C3_textmining': ['bio/hg19_OR13C3', 'bio/hg38_OR13C3'], 'bio/DGA_DOID_8778_TACR3_textmining': ['bio/hg19_TACR3', 'bio/hg38_TACR3'], 'bio/DGA_DOID_8778_KYNU_textmining': ['bio/hg19_KYNU', 'bio/hg38_KYNU'], 'bio/DGA_DOID_8778_CFL1_textmining': ['bio/hg19_CFL1', 'bio/hg38_CFL1'], 'bio/DGA_DOID_8778_RNF11_textmining': ['bio/hg19_RNF11', 'bio/hg38_RNF11'], 'bio/DGA_DOID_8778_CST3_textmining': ['bio/hg19_CST3', 'bio/hg38_CST3'], 'bio/DGA_DOID_8778_LRP1_textmining': ['bio/hg19_LRP1', 'bio/hg38_LRP1'], 'bio/DGA_DOID_8778_GRK5_experiments': ['bio/hg19_GRK5', 'bio/hg38_GRK5'], 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'bio/DGA_DOID_8778_ENPP3_textmining': ['bio/hg19_ENPP3', 'bio/hg38_ENPP3'], 'bio/DGA_DOID_8778_CELSR2_textmining': ['bio/hg19_CELSR2', 'bio/hg38_CELSR2'], 'bio/DGA_DOID_8778_P2RX6_textmining': ['bio/hg19_P2RX6', 'bio/hg38_P2RX6'], 'bio/DGA_DOID_8778_FHL2_textmining': ['bio/hg19_FHL2', 'bio/hg38_FHL2'], 'bio/DGA_DOID_8778_IL2RG_textmining': ['bio/hg19_IL2RG', 'bio/hg38_IL2RG'], 'bio/DGA_DOID_8778_IL6_textmining': ['bio/hg19_IL6', 'bio/hg38_IL6'], 'bio/DGA_DOID_8778_SERPINA4_textmining': ['bio/hg19_SERPINA4', 'bio/hg38_SERPINA4'], 'bio/DGA_DOID_8778_CLDN8_textmining': ['bio/hg19_CLDN8', 'bio/hg38_CLDN8'], 'bio/DGA_DOID_8778_FCGBP_textmining': ['bio/hg19_FCGBP', 'bio/hg38_FCGBP'], 'bio/DGA_DOID_8778_SFTPD_textmining': ['bio/hg19_SFTPD', 'bio/hg38_SFTPD'], 'bio/DGA_DOID_8778_IL1F10_textmining': ['bio/hg19_IL1F10', 'bio/hg38_IL1F10'], 'bio/DGA_DOID_8778_DEFA3_textmining': ['bio/hg19_DEFA3', 'bio/hg38_DEFA3'], 'bio/DGA_DOID_8778_PHGDH_textmining': ['bio/hg19_PHGDH', 'bio/hg38_PHGDH'], 'bio/DGA_DOID_8778_SLC26A6_textmining': ['bio/hg19_SLC26A6', 'bio/hg38_SLC26A6'], 'bio/DGA_DOID_8778_LPL_textmining': ['bio/hg19_LPL', 'bio/hg38_LPL'], 'bio/DGA_DOID_8778_TAGLN_textmining': ['bio/hg19_TAGLN', 'bio/hg38_TAGLN'], 'bio/DGA_DOID_8778_CLDN4_textmining': ['bio/hg19_CLDN4', 'bio/hg38_CLDN4'], 'bio/DGA_DOID_8778_PRKCQ_textmining': ['bio/hg19_PRKCQ', 'bio/hg38_PRKCQ'], 'bio/DGA_DOID_8778_NQO1_textmining': ['bio/hg19_NQO1', 'bio/hg38_NQO1'], 'bio/DGA_DOID_8778_TRAF7_textmining': ['bio/hg19_TRAF7', 'bio/hg38_TRAF7'], 'bio/DGA_DOID_8778_NPFFR2_textmining': ['bio/hg19_NPFFR2', 'bio/hg38_NPFFR2'], 'bio/DGA_DOID_8778_USP4_textmining': ['bio/hg19_USP4', 'bio/hg38_USP4'], 'bio/DGA_DOID_8778_USP45_textmining': ['bio/hg19_USP45', 'bio/hg38_USP45'], 'bio/DGA_DOID_8778_KAT2B_textmining': ['bio/hg19_KAT2B', 'bio/hg38_KAT2B'], 'bio/DGA_DOID_8778_PPY_textmining': ['bio/hg19_PPY', 'bio/hg38_PPY'], 'bio/DGA_DOID_8778_STAT3_experiments': ['bio/hg19_STAT3', 'bio/hg38_STAT3'], 'bio/DGA_DOID_8778_FLT3LG_textmining': ['bio/hg19_FLT3LG', 'bio/hg38_FLT3LG'], 'bio/DGA_DOID_8778_SORT1_textmining': ['bio/hg19_SORT1', 'bio/hg38_SORT1'], 'bio/DGA_DOID_8778_SLC39A11_experiments': ['bio/hg19_SLC39A11', 'bio/hg38_SLC39A11'], 'bio/DGA_DOID_8778_C22orf29_textmining': ['bio/hg19_C22orf29'], 'bio/DGA_DOID_8778_PTGES2_textmining': ['bio/hg19_PTGES2', 'bio/hg38_PTGES2'], 'bio/DGA_DOID_8778_IL24_textmining': ['bio/hg19_IL24', 'bio/hg38_IL24'], 'bio/DGA_DOID_8778_RPS6KA4_experiments': ['bio/hg19_RPS6KA4', 'bio/hg38_RPS6KA4'], 'bio/DGA_DOID_8778_EPO_textmining': ['bio/hg19_EPO', 'bio/hg38_EPO'], 'bio/DGA_DOID_8778_ITIH3_textmining': ['bio/hg19_ITIH3', 'bio/hg38_ITIH3'], 'bio/DGA_DOID_8778_LMNA_textmining': ['bio/hg19_LMNA', 'bio/hg38_LMNA'], 'bio/DGA_DOID_8778_COLEC12_textmining': ['bio/hg19_COLEC12', 'bio/hg38_COLEC12'], 'bio/DGA_DOID_8778_EIF3C_textmining': ['bio/hg19_EIF3C', 'bio/hg38_EIF3C'], 'bio/DGA_DOID_8778_NUPR1_textmining': ['bio/hg19_NUPR1', 'bio/hg38_NUPR1'], 'bio/DGA_DOID_8778_HNF1A_textmining': ['bio/hg19_HNF1A', 'bio/hg38_HNF1A'], 'bio/DGA_DOID_8778_HSPA4_textmining': ['bio/hg19_HSPA4', 'bio/hg38_HSPA4'], 'bio/DGA_DOID_8778_CDK1_textmining': ['bio/hg19_CDK1', 'bio/hg38_CDK1'], 'bio/DGA_DOID_8778_MC4R_textmining': ['bio/hg19_MC4R', 'bio/hg38_MC4R'], 'bio/DGA_DOID_8778_PSMD4_textmining': ['bio/hg19_PSMD4', 'bio/hg38_PSMD4'], 'bio/DGA_DOID_8778_PTPN1_experiments': ['bio/hg19_PTPN1', 'bio/hg38_PTPN1'], 'bio/DGA_DOID_8778_ADCY8_textmining': ['bio/hg19_ADCY8', 'bio/hg38_ADCY8'], 'bio/DGA_DOID_8778_CYSLTR1_textmining': ['bio/hg19_CYSLTR1', 'bio/hg38_CYSLTR1'], 'bio/DGA_DOID_8778_ESX1_textmining': ['bio/hg19_ESX1', 'bio/hg38_ESX1'], 'bio/DGA_DOID_8778_DLG5_textmining': ['bio/hg19_DLG5', 'bio/hg38_DLG5'], 'bio/DGA_DOID_8778_TRA-TGC7_textmining': [], 'bio/DGA_DOID_8778_ENSP00000482396_textmining': [], 'bio/DGA_DOID_8778_HIST1H4C_textmining': ['bio/hg19_HIST1H4C', 'bio/hg38_HIST1H4C'], 'bio/DGA_DOID_8778_BAK1_textmining': ['bio/hg19_BAK1', 'bio/hg38_BAK1'], 'bio/DGA_DOID_8778_SND1-IT1_textmining': ['bio/hg19_SND1-IT1', 'bio/hg38_SND1-IT1'], 'bio/DGA_DOID_8778_TSC2_textmining': ['bio/hg19_TSC2', 'bio/hg38_TSC2'], 'bio/DGA_DOID_8778_RERE_textmining': ['bio/hg19_RERE', 'bio/hg38_RERE'], 'bio/DGA_DOID_8778_IL36B_textmining': ['bio/hg19_IL36B', 'bio/hg38_IL36B'], 'bio/DGA_DOID_8778_APEH_textmining': ['bio/hg19_APEH', 'bio/hg38_APEH'], 'bio/DGA_DOID_8778_CTSK_textmining': ['bio/hg19_CTSK', 'bio/hg38_CTSK'], 'bio/DGA_DOID_8778_AIM2_textmining': ['bio/hg19_AIM2', 'bio/hg38_AIM2'], 'bio/DGA_DOID_8778_RET_textmining': ['bio/hg19_RET', 'bio/hg38_RET'], 'bio/DGA_DOID_8778_DUSP4_textmining': ['bio/hg19_DUSP4', 'bio/hg38_DUSP4'], 'bio/DGA_DOID_8778_ERBB4_textmining': ['bio/hg19_ERBB4', 'bio/hg38_ERBB4'], 'bio/DGA_DOID_8778_TCHP_textmining': ['bio/hg19_TCHP', 'bio/hg38_TCHP'], 'bio/DGA_DOID_8778_MUC13_textmining': ['bio/hg19_MUC13', 'bio/hg38_MUC13'], 'bio/DGA_DOID_8778_EPHX2_textmining': ['bio/hg19_EPHX2', 'bio/hg38_EPHX2'], 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'bio/DGA_DOID_8778_IRS2_textmining': ['bio/hg19_IRS2', 'bio/hg38_IRS2'], 'bio/DGA_DOID_8778_BID_textmining': ['bio/hg19_BID', 'bio/hg38_BID'], 'bio/DGA_DOID_8778_TNF_textmining': ['bio/hg19_TNF', 'bio/hg38_TNF'], 'bio/DGA_DOID_8778_LAMP2_textmining': ['bio/hg19_LAMP2', 'bio/hg38_LAMP2'], 'bio/DGA_DOID_8778_KLK4_textmining': ['bio/hg19_KLK4', 'bio/hg38_KLK4'], 'bio/DGA_DOID_8778_S1PR1_textmining': ['bio/hg19_S1PR1', 'bio/hg38_S1PR1'], 'bio/DGA_DOID_8778_HGD_textmining': ['bio/hg19_HGD', 'bio/hg38_HGD'], 'bio/DGA_DOID_8778_CCL4_textmining': ['bio/hg19_CCL4', 'bio/hg38_CCL4'], 'bio/DGA_DOID_8778_BNIP3L_textmining': ['bio/hg19_BNIP3L', 'bio/hg38_BNIP3L'], 'bio/DGA_DOID_8778_GATA4_textmining': ['bio/hg19_GATA4', 'bio/hg38_GATA4'], 'bio/DGA_DOID_8778_SLC40A1_textmining': ['bio/hg19_SLC40A1', 'bio/hg38_SLC40A1'], 'bio/DGA_DOID_8778_TGFA_textmining': ['bio/hg19_TGFA', 'bio/hg38_TGFA'], 'bio/DGA_DOID_8778_ABCB1_textmining': ['bio/hg19_ABCB1', 'bio/hg38_ABCB1'], 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'bio/DGA_DOID_8778_CCNY_textmining': ['bio/hg19_CCNY', 'bio/hg38_CCNY'], 'bio/DGA_DOID_8778_INSL6_textmining': ['bio/hg19_INSL6', 'bio/hg38_INSL6'], 'bio/DGA_DOID_8778_MYO9B_textmining': ['bio/hg19_MYO9B', 'bio/hg38_MYO9B'], 'bio/DGA_DOID_8778_IL1RN_textmining': ['bio/hg19_IL1RN', 'bio/hg38_IL1RN'], 'bio/DGA_DOID_8778_C11orf30_experiments': ['bio/hg19_C11orf30'], 'bio/DGA_DOID_8778_DRD4_textmining': ['bio/hg19_DRD4', 'bio/hg38_DRD4'], 'bio/DGA_DOID_8778_KIDINS220_textmining': ['bio/hg19_KIDINS220', 'bio/hg38_KIDINS220'], 'bio/DGA_DOID_8778_COL17A1_textmining': ['bio/hg19_COL17A1', 'bio/hg38_COL17A1'], 'bio/DGA_DOID_8778_IL27RA_textmining': ['bio/hg19_IL27RA', 'bio/hg38_IL27RA'], 'bio/DGA_DOID_8778_FFAR2_textmining': ['bio/hg19_FFAR2', 'bio/hg38_FFAR2'], 'bio/DGA_DOID_8778_ARFRP1_textmining': ['bio/hg19_ARFRP1', 'bio/hg38_ARFRP1'], 'bio/DGA_DOID_8778_MET_textmining': ['bio/hg19_MET', 'bio/hg38_MET'], 'bio/DGA_DOID_8778_TRIM39_textmining': ['bio/hg19_TRIM39', 'bio/hg38_TRIM39'], 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'bio/hg38_BECN1'], 'bio/DGA_DOID_8778_GML_textmining': ['bio/hg19_GML', 'bio/hg38_GML'], 'bio/DGA_DOID_8778_HPS6_textmining': ['bio/hg19_HPS6', 'bio/hg38_HPS6'], 'bio/DGA_DOID_8778_CASP1_textmining': ['bio/hg19_CASP1', 'bio/hg38_CASP1'], 'bio/DGA_DOID_8778_CHP1_experiments': ['bio/hg19_CHP1', 'bio/hg38_CHP1'], 'bio/DGA_DOID_8778_TFAM_textmining': ['bio/hg19_TFAM', 'bio/hg38_TFAM'], 'bio/DGA_DOID_8778_RAG2_textmining': ['bio/hg19_RAG2', 'bio/hg38_RAG2'], 'bio/DGA_DOID_8778_SHFM1_textmining': ['bio/hg19_SHFM1'], 'bio/DGA_DOID_8778_CARD8_textmining': ['bio/hg19_CARD8', 'bio/hg38_CARD8'], 'bio/DGA_DOID_8778_RASGRP1_textmining': ['bio/hg19_RASGRP1', 'bio/hg38_RASGRP1'], 'bio/DGA_DOID_8778_NFKB1_textmining': ['bio/hg19_NFKB1', 'bio/hg38_NFKB1'], 'bio/DGA_DOID_8778_PDZD3_textmining': ['bio/hg19_PDZD3', 'bio/hg38_PDZD3'], 'bio/DGA_DOID_8778_GLRX_textmining': ['bio/hg19_GLRX', 'bio/hg38_GLRX'], 'bio/DGA_DOID_8778_NKRF_textmining': ['bio/hg19_NKRF', 'bio/hg38_NKRF'], 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'bio/DGA_DOID_8778_IL13RA2_textmining': ['bio/hg19_IL13RA2', 'bio/hg38_IL13RA2'], 'bio/DGA_DOID_8778_CD300C_textmining': ['bio/hg19_CD300C', 'bio/hg38_CD300C'], 'bio/DGA_DOID_8778_HNRNPA1_textmining': ['bio/hg19_HNRNPA1', 'bio/hg38_HNRNPA1'], 'bio/DGA_DOID_8778_PCDHB16_textmining': ['bio/hg19_PCDHB16', 'bio/hg38_PCDHB16'], 'bio/DGA_DOID_8778_P2RY1_textmining': ['bio/hg19_P2RY1', 'bio/hg38_P2RY1'], 'bio/DGA_DOID_8778_hsa-miR-3653_textmining': [], 'bio/DGA_DOID_8778_IFNL1_textmining': ['bio/hg19_IFNL1', 'bio/hg38_IFNL1'], 'bio/DGA_DOID_8778_SOCS5_textmining': ['bio/hg19_SOCS5', 'bio/hg38_SOCS5'], 'bio/DGA_DOID_8778_ANK3_textmining': ['bio/hg19_ANK3', 'bio/hg38_ANK3'], 'bio/DGA_DOID_8778_GFAP_textmining': ['bio/hg19_GFAP', 'bio/hg38_GFAP'], 'bio/DGA_DOID_8778_SMIM3_textmining': ['bio/hg19_SMIM3', 'bio/hg38_SMIM3'], 'bio/DGA_DOID_8778_ATF4_textmining': ['bio/hg19_ATF4', 'bio/hg38_ATF4'], 'bio/DGA_DOID_8778_NLRC3_textmining': ['bio/hg19_NLRC3', 'bio/hg38_NLRC3'], 'bio/DGA_DOID_8778_TET2_textmining': ['bio/hg19_TET2', 'bio/hg38_TET2'], 'bio/DGA_DOID_8778_NFATC4_textmining': ['bio/hg19_NFATC4', 'bio/hg38_NFATC4'], 'bio/DGA_DOID_8778_TIMD4_textmining': ['bio/hg19_TIMD4', 'bio/hg38_TIMD4'], 'bio/DGA_DOID_8778_PSEN1_textmining': ['bio/hg19_PSEN1', 'bio/hg38_PSEN1'], 'bio/DGA_DOID_8778_PLAU_textmining': ['bio/hg19_PLAU', 'bio/hg38_PLAU'], 'bio/DGA_DOID_8778_TRAF3_textmining': ['bio/hg19_TRAF3', 'bio/hg38_TRAF3'], 'bio/DGA_DOID_8778_CHL1_textmining': ['bio/hg19_CHL1', 'bio/hg38_CHL1'], 'bio/DGA_DOID_8778_H1F0_textmining': ['bio/hg19_H1F0', 'bio/hg38_H1F0'], 'bio/DGA_DOID_8778_PHF20_textmining': ['bio/hg19_PHF20', 'bio/hg38_PHF20'], 'bio/DGA_DOID_8778_FAM131A_textmining': ['bio/hg19_FAM131A', 'bio/hg38_FAM131A'], 'bio/DGA_DOID_8778_GPR18_textmining': ['bio/hg19_GPR18', 'bio/hg38_GPR18'], 'bio/DGA_DOID_8778_P4HA2_textmining': ['bio/hg19_P4HA2', 'bio/hg38_P4HA2'], 'bio/DGA_DOID_8778_CCL28_textmining': ['bio/hg19_CCL28', 'bio/hg38_CCL28'], 'bio/DGA_DOID_8778_CD33L2_textmining': [], 'bio/DGA_DOID_8778_TPMT_textmining': ['bio/hg19_TPMT', 'bio/hg38_TPMT'], 'bio/DGA_DOID_8778_GBP5_textmining': ['bio/hg19_GBP5', 'bio/hg38_GBP5'], 'bio/DGA_DOID_8778_NDFIP1_textmining': ['bio/hg19_NDFIP1', 'bio/hg38_NDFIP1'], 'bio/DGA_DOID_8778_OGDH_textmining': ['bio/hg19_OGDH', 'bio/hg38_OGDH'], 'bio/DGA_DOID_8778_FAM26F_textmining': ['bio/hg19_FAM26F'], 'bio/DGA_DOID_8778_HPS3_textmining': ['bio/hg19_HPS3', 'bio/hg38_HPS3'], 'bio/DGA_DOID_8778_B4GALNT2_textmining': ['bio/hg19_B4GALNT2', 'bio/hg38_B4GALNT2'], 'bio/DGA_DOID_8778_TRAF5_textmining': ['bio/hg19_TRAF5', 'bio/hg38_TRAF5'], 'bio/DGA_DOID_8778_BSG_textmining': ['bio/hg19_BSG', 'bio/hg38_BSG'], 'bio/DGA_DOID_8778_FCGR3A_textmining': ['bio/hg19_FCGR3A', 'bio/hg38_FCGR3A'], 'bio/DGA_DOID_8778_CCL26_textmining': ['bio/hg19_CCL26', 'bio/hg38_CCL26'], 'bio/DGA_DOID_8778_FASLG_textmining': ['bio/hg19_FASLG', 'bio/hg38_FASLG'], 'bio/DGA_DOID_8778_METRNL_textmining': ['bio/hg19_METRNL', 'bio/hg38_METRNL'], 'bio/DGA_DOID_8778_SIRPB1_textmining': ['bio/hg19_SIRPB1', 'bio/hg38_SIRPB1'], 'bio/DGA_DOID_8778_LGALS3_textmining': ['bio/hg19_LGALS3', 'bio/hg38_LGALS3'], 'bio/DGA_DOID_8778_DDX41_textmining': ['bio/hg19_DDX41', 'bio/hg38_DDX41'], 'bio/DGA_DOID_8778_PRPS1_textmining': ['bio/hg19_PRPS1', 'bio/hg38_PRPS1'], 'bio/DGA_DOID_8778_MYL2_textmining': ['bio/hg19_MYL2', 'bio/hg38_MYL2'], 'bio/DGA_DOID_8778_TRIM38_textmining': ['bio/hg19_TRIM38', 'bio/hg38_TRIM38'], 'bio/DGA_DOID_8778_PRSS1_textmining': ['bio/hg19_PRSS1', 'bio/hg38_PRSS1'], 'bio/DGA_DOID_8778_FUS_textmining': ['bio/hg19_FUS', 'bio/hg38_FUS'], 'bio/DGA_DOID_8778_CSF1R_textmining': ['bio/hg19_CSF1R', 'bio/hg38_CSF1R'], 'bio/DGA_DOID_8778_PPARGC1B_textmining': ['bio/hg19_PPARGC1B', 'bio/hg38_PPARGC1B'], 'bio/DGA_DOID_8778_PNMA2_textmining': ['bio/hg19_PNMA2', 'bio/hg38_PNMA2'], 'bio/DGA_DOID_8778_RPL19_textmining': ['bio/hg19_RPL19', 'bio/hg38_RPL19'], 'bio/DGA_DOID_8778_FAM53B_textmining': ['bio/hg19_FAM53B', 'bio/hg38_FAM53B'], 'bio/DGA_DOID_8778_CLEC4D_textmining': ['bio/hg19_CLEC4D', 'bio/hg38_CLEC4D'], 'bio/DGA_DOID_8778_INS_textmining': ['bio/hg19_INS', 'bio/hg38_INS'], 'bio/DGA_DOID_8778_SYNE1_textmining': ['bio/hg19_SYNE1', 'bio/hg38_SYNE1'], 'bio/DGA_DOID_8778_RGS14_textmining': ['bio/hg19_RGS14', 'bio/hg38_RGS14'], 'bio/DGA_DOID_8778_CUL1_textmining': ['bio/hg19_CUL1', 'bio/hg38_CUL1'], 'bio/DGA_DOID_8778_ACAA1_textmining': ['bio/hg19_ACAA1', 'bio/hg38_ACAA1'], 'bio/DGA_DOID_8778_hsa-miR-15b-5p_textmining': [], 'bio/DGA_DOID_8778_FN1_textmining': ['bio/hg19_FN1', 'bio/hg38_FN1'], 'bio/DGA_DOID_8778_ATRX_textmining': ['bio/hg19_ATRX', 'bio/hg38_ATRX'], 'bio/DGA_DOID_8778_NPY5R_textmining': ['bio/hg19_NPY5R', 'bio/hg38_NPY5R'], 'bio/DGA_DOID_8778_MFN2_textmining': ['bio/hg19_MFN2', 'bio/hg38_MFN2'], 'bio/DGA_DOID_8778_ACTC1_textmining': ['bio/hg19_ACTC1', 'bio/hg38_ACTC1'], 'bio/DGA_DOID_8778_FADS1_textmining': ['bio/hg19_FADS1', 'bio/hg38_FADS1'], 'bio/DGA_DOID_8778_MLH1_textmining': ['bio/hg19_MLH1', 'bio/hg38_MLH1'], 'bio/DGA_DOID_8778_HDAC11_textmining': ['bio/hg19_HDAC11', 'bio/hg38_HDAC11'], 'bio/DGA_DOID_8778_SLC22A1_textmining': ['bio/hg19_SLC22A1', 'bio/hg38_SLC22A1'], 'bio/DGA_DOID_8778_ULBP2_textmining': ['bio/hg19_ULBP2', 'bio/hg38_ULBP2'], 'bio/DGA_DOID_8778_TAC3_textmining': ['bio/hg19_TAC3', 'bio/hg38_TAC3'], 'bio/DGA_DOID_8778_GGCT_textmining': ['bio/hg19_GGCT', 'bio/hg38_GGCT'], 'bio/DGA_DOID_8778_C5AR1_textmining': ['bio/hg19_C5AR1', 'bio/hg38_C5AR1'], 'bio/DGA_DOID_8778_CES2_textmining': ['bio/hg19_CES2', 'bio/hg38_CES2'], 'bio/DGA_DOID_8778_SMAD5_textmining': ['bio/hg19_SMAD5', 'bio/hg38_SMAD5'], 'bio/DGA_DOID_8778_SAA1_textmining': ['bio/hg19_SAA1', 'bio/hg38_SAA1'], 'bio/DGA_DOID_8778_MYH6_textmining': ['bio/hg19_MYH6', 'bio/hg38_MYH6'], 'bio/DGA_DOID_8778_CDK4_textmining': ['bio/hg19_CDK4', 'bio/hg38_CDK4'], 'bio/DGA_DOID_8778_MAP2K4_textmining': ['bio/hg19_MAP2K4', 'bio/hg38_MAP2K4'], 'bio/DGA_DOID_8778_SBSPON_experiments': ['bio/hg19_SBSPON', 'bio/hg38_SBSPON'], 'bio/DGA_DOID_8778_KSR1_textmining': ['bio/hg19_KSR1', 'bio/hg38_KSR1'], 'bio/DGA_DOID_8778_IREB2_textmining': ['bio/hg19_IREB2', 'bio/hg38_IREB2'], 'bio/DGA_DOID_8778_WIPI2_textmining': ['bio/hg19_WIPI2', 'bio/hg38_WIPI2'], 'bio/DGA_DOID_8778_CTSW_textmining': ['bio/hg19_CTSW', 'bio/hg38_CTSW'], 'bio/DGA_DOID_8778_ARSF_textmining': ['bio/hg19_ARSF', 'bio/hg38_ARSF'], 'bio/DGA_DOID_8778_SDC4_textmining': ['bio/hg19_SDC4', 'bio/hg38_SDC4'], 'bio/DGA_DOID_8778_SPRED2_experiments': ['bio/hg19_SPRED2', 'bio/hg38_SPRED2'], 'bio/DGA_DOID_8778_COL1A1_textmining': ['bio/hg19_COL1A1', 'bio/hg38_COL1A1'], 'bio/DGA_DOID_8778_SPINK14_textmining': ['bio/hg19_SPINK14', 'bio/hg38_SPINK14'], 'bio/DGA_DOID_8778_PROX1_textmining': ['bio/hg19_PROX1', 'bio/hg38_PROX1'], 'bio/DGA_DOID_8778_LEF1_textmining': ['bio/hg19_LEF1', 'bio/hg38_LEF1'], 'bio/DGA_DOID_8778_CDH17_textmining': ['bio/hg19_CDH17', 'bio/hg38_CDH17'], 'bio/DGA_DOID_8778_LGMN_textmining': ['bio/hg19_LGMN', 'bio/hg38_LGMN'], 'bio/DGA_DOID_8778_TNFRSF1B_textmining': ['bio/hg19_TNFRSF1B', 'bio/hg38_TNFRSF1B'], 'bio/DGA_DOID_8778_CENPI_textmining': ['bio/hg19_CENPI', 'bio/hg38_CENPI'], 'bio/DGA_DOID_8778_CFTR_textmining': ['bio/hg19_CFTR', 'bio/hg38_CFTR'], 'bio/DGA_DOID_8778_PRIMA1_textmining': ['bio/hg19_PRIMA1', 'bio/hg38_PRIMA1'], 'bio/DGA_DOID_8778_PRRC2A_textmining': ['bio/hg19_PRRC2A', 'bio/hg38_PRRC2A'], 'bio/DGA_DOID_8778_ROCK1_textmining': ['bio/hg19_ROCK1', 'bio/hg38_ROCK1'], 'bio/DGA_DOID_8778_ACTG2_textmining': ['bio/hg19_ACTG2', 'bio/hg38_ACTG2'], 'bio/DGA_DOID_8778_hsa-miR-19b-3p_textmining': [], 'bio/DGA_DOID_8778_LTB4R_textmining': ['bio/hg19_LTB4R', 'bio/hg38_LTB4R'], 'bio/DGA_DOID_8778_IL19_textmining': ['bio/hg19_IL19', 'bio/hg38_IL19'], 'bio/DGA_DOID_8778_PTN_textmining': ['bio/hg19_PTN', 'bio/hg38_PTN'], 'bio/DGA_DOID_8778_OSTC_textmining': ['bio/hg19_OSTC', 'bio/hg38_OSTC'], 'bio/DGA_DOID_8778_HLA-DQB2_textmining': ['bio/hg19_HLA-DQB2', 'bio/hg38_HLA-DQB2'], 'bio/DGA_DOID_8778_TBC1D17_textmining': ['bio/hg19_TBC1D17', 'bio/hg38_TBC1D17'], 'bio/DGA_DOID_8778_LAPTM5_textmining': ['bio/hg19_LAPTM5', 'bio/hg38_LAPTM5'], 'bio/DGA_DOID_8778_C1orf141_textmining': ['bio/hg19_C1orf141', 'bio/hg38_C1orf141'], 'bio/DGA_DOID_8778_VPS26A_textmining': ['bio/hg19_VPS26A', 'bio/hg38_VPS26A'], 'bio/DGA_DOID_8778_AUH_experiments': ['bio/hg19_AUH', 'bio/hg38_AUH'], 'bio/DGA_DOID_8778_DUSP2_textmining': ['bio/hg19_DUSP2', 'bio/hg38_DUSP2'], 'bio/DGA_DOID_8778_CLPTM1L_textmining': ['bio/hg19_CLPTM1L', 'bio/hg38_CLPTM1L'], 'bio/DGA_DOID_8778_ZNF410_textmining': ['bio/hg19_ZNF410', 'bio/hg38_ZNF410'], 'bio/DGA_DOID_8778_GDNF_textmining': ['bio/hg19_GDNF', 'bio/hg38_GDNF'], 'bio/DGA_DOID_8778_hsa-miR-188-5p_textmining': [], 'bio/DGA_DOID_8778_MFHAS1_textmining': ['bio/hg19_MFHAS1', 'bio/hg38_MFHAS1'], 'bio/DGA_DOID_8778_IRF9_textmining': ['bio/hg19_IRF9', 'bio/hg38_IRF9'], 'bio/DGA_DOID_8778_CDC37_experiments': ['bio/hg19_CDC37', 'bio/hg38_CDC37'], 'bio/DGA_DOID_8778_CAMKV_textmining': ['bio/hg19_CAMKV', 'bio/hg38_CAMKV'], 'bio/DGA_DOID_8778_HLTF_textmining': ['bio/hg19_HLTF', 'bio/hg38_HLTF'], 'bio/DGA_DOID_8778_IGFBP3_textmining': ['bio/hg19_IGFBP3', 'bio/hg38_IGFBP3'], 'bio/DGA_DOID_8778_IL4R_textmining': ['bio/hg19_IL4R', 'bio/hg38_IL4R'], 'bio/DGA_DOID_8778_SERPING1_textmining': ['bio/hg19_SERPING1', 'bio/hg38_SERPING1'], 'bio/DGA_DOID_8778_FLT3_textmining': ['bio/hg19_FLT3', 'bio/hg38_FLT3'], 'bio/DGA_DOID_8778_KIAA1109_experiments': ['bio/hg19_KIAA1109', 'bio/hg38_KIAA1109'], 'bio/DGA_DOID_8778_CIITA_textmining': ['bio/hg19_CIITA', 'bio/hg38_CIITA'], 'bio/DGA_DOID_8778_BCAS3_experiments': ['bio/hg19_BCAS3', 'bio/hg38_BCAS3'], 'bio/DGA_DOID_8778_FAT1_textmining': ['bio/hg19_FAT1', 'bio/hg38_FAT1'], 'bio/DGA_DOID_8778_TACR1_textmining': ['bio/hg19_TACR1', 'bio/hg38_TACR1'], 'bio/DGA_DOID_8778_PADI4_textmining': ['bio/hg19_PADI4', 'bio/hg38_PADI4'], 'bio/DGA_DOID_8778_TCTA_experiments': 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'bio/DGA_DOID_8778_hsa-miR-17-5p_textmining': [], 'bio/DGA_DOID_8778_CAPN12_textmining': ['bio/hg19_CAPN12', 'bio/hg38_CAPN12'], 'bio/DGA_DOID_8778_TNFSF13_textmining': ['bio/hg19_TNFSF13', 'bio/hg38_TNFSF13'], 'bio/DGA_DOID_8778_TGFBR1_textmining': ['bio/hg19_TGFBR1', 'bio/hg38_TGFBR1'], 'bio/DGA_DOID_8778_SLC10A2_textmining': ['bio/hg19_SLC10A2', 'bio/hg38_SLC10A2'], 'bio/DGA_DOID_8778_NDRG4_textmining': ['bio/hg19_NDRG4', 'bio/hg38_NDRG4'], 'bio/DGA_DOID_8778_SCHIP1_textmining': ['bio/hg19_SCHIP1', 'bio/hg38_SCHIP1'], 'bio/DGA_DOID_8778_SLC10A1_textmining': ['bio/hg19_SLC10A1', 'bio/hg38_SLC10A1'], 'bio/DGA_DOID_8778_ARSJ_textmining': ['bio/hg19_ARSJ', 'bio/hg38_ARSJ'], 'bio/DGA_DOID_8778_CDH2_textmining': ['bio/hg19_CDH2', 'bio/hg38_CDH2'], 'bio/DGA_DOID_8778_HORMAD2_experiments': ['bio/hg19_HORMAD2', 'bio/hg38_HORMAD2'], 'bio/DGA_DOID_8778_EGLN2_textmining': ['bio/hg19_EGLN2', 'bio/hg38_EGLN2'], 'bio/DGA_DOID_8778_CHRNA3_textmining': ['bio/hg19_CHRNA3', 'bio/hg38_CHRNA3'], 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'bio/DGA_DOID_8778_SELENBP1_textmining': ['bio/hg19_SELENBP1', 'bio/hg38_SELENBP1'], 'bio/DGA_DOID_8778_IL21R_textmining': ['bio/hg19_IL21R', 'bio/hg38_IL21R'], 'bio/DGA_DOID_8778_NFKBIE_textmining': ['bio/hg19_NFKBIE', 'bio/hg38_NFKBIE'], 'bio/DGA_DOID_8778_FPR3_textmining': ['bio/hg19_FPR3', 'bio/hg38_FPR3'], 'bio/DGA_DOID_8778_TRNAU1AP_textmining': ['bio/hg19_TRNAU1AP', 'bio/hg38_TRNAU1AP'], 'bio/DGA_DOID_8778_TCF4_textmining': ['bio/hg19_TCF4', 'bio/hg38_TCF4'], 'bio/DGA_DOID_8778_SP140L_textmining': ['bio/hg19_SP140L', 'bio/hg38_SP140L'], 'bio/DGA_DOID_8778_C1QB_textmining': ['bio/hg19_C1QB', 'bio/hg38_C1QB'], 'bio/DGA_DOID_8778_RAB7B_textmining': ['bio/hg19_RAB7B', 'bio/hg38_RAB7B'], 'bio/DGA_DOID_8778_REN_textmining': ['bio/hg19_REN', 'bio/hg38_REN'], 'bio/DGA_DOID_8778_EDNRA_textmining': ['bio/hg19_EDNRA', 'bio/hg38_EDNRA'], 'bio/DGA_DOID_8778_CDKAL1_textmining': ['bio/hg19_CDKAL1', 'bio/hg38_CDKAL1'], 'bio/DGA_DOID_8778_MPG_textmining': ['bio/hg19_MPG', 'bio/hg38_MPG'], 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'bio/DGA_DOID_8778_CEBPA_textmining': ['bio/hg19_CEBPA', 'bio/hg38_CEBPA'], 'bio/DGA_DOID_8778_DEFB123_textmining': ['bio/hg19_DEFB123', 'bio/hg38_DEFB123'], 'bio/DGA_DOID_8778_CARD14_textmining': ['bio/hg19_CARD14', 'bio/hg38_CARD14'], 'bio/DGA_DOID_8778_ENSP00000480012_textmining': [], 'bio/DGA_DOID_8778_RNF186_textmining': ['bio/hg19_RNF186', 'bio/hg38_RNF186'], 'bio/DGA_DOID_8778_AGO2_textmining': ['bio/hg19_AGO2', 'bio/hg38_AGO2'], 'bio/DGA_DOID_8778_STMN1_textmining': ['bio/hg19_STMN1', 'bio/hg38_STMN1'], 'bio/DGA_DOID_8778_ZNF831_experiments': ['bio/hg19_ZNF831', 'bio/hg38_ZNF831'], 'bio/DGA_DOID_8778_PICALM_textmining': ['bio/hg19_PICALM', 'bio/hg38_PICALM'], 'bio/DGA_DOID_8778_CLDN2_textmining': ['bio/hg19_CLDN2', 'bio/hg38_CLDN2'], 'bio/DGA_DOID_8778_FUT2_experiments': ['bio/hg19_FUT2', 'bio/hg38_FUT2'], 'bio/DGA_DOID_8778_KLF4_textmining': ['bio/hg19_KLF4', 'bio/hg38_KLF4'], 'bio/DGA_DOID_8778_DEFA1B_textmining': ['bio/hg19_DEFA1B', 'bio/hg38_DEFA1B'], 'bio/DGA_DOID_8778_NANOG_textmining': ['bio/hg19_NANOG', 'bio/hg38_NANOG'], 'bio/DGA_DOID_8778_APOA1_textmining': ['bio/hg19_APOA1', 'bio/hg38_APOA1'], 'bio/DGA_DOID_8778_HIST1H4B_textmining': ['bio/hg19_HIST1H4B', 'bio/hg38_HIST1H4B'], 'bio/DGA_DOID_8778_TCN1_textmining': ['bio/hg19_TCN1', 'bio/hg38_TCN1'], 'bio/DGA_DOID_8778_SSB_textmining': ['bio/hg19_SSB', 'bio/hg38_SSB'], 'bio/DGA_DOID_8778_NAT9_textmining': ['bio/hg19_NAT9', 'bio/hg38_NAT9'], 'bio/DGA_DOID_8778_SPEN_textmining': ['bio/hg19_SPEN', 'bio/hg38_SPEN'], 'bio/DGA_DOID_8778_IL3_experiments': ['bio/hg19_IL3', 'bio/hg38_IL3'], 'bio/DGA_DOID_8778_hsa-miR-484_textmining': [], 'bio/DGA_DOID_8778_GPR32_textmining': ['bio/hg19_GPR32', 'bio/hg38_GPR32'], 'bio/DGA_DOID_8778_SLC23A2_textmining': ['bio/hg19_SLC23A2', 'bio/hg38_SLC23A2'], 'bio/DGA_DOID_8778_GABBR1_textmining': ['bio/hg19_GABBR1', 'bio/hg38_GABBR1'], 'bio/DGA_DOID_8778_SLC30A2_textmining': ['bio/hg19_SLC30A2', 'bio/hg38_SLC30A2'], 'bio/DGA_DOID_8778_UNK_textmining': 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['bio/hg19_HINT1', 'bio/hg38_HINT1'], 'bio/DGA_DOID_8778_ZNF711_textmining': ['bio/hg19_ZNF711', 'bio/hg38_ZNF711'], 'bio/DGA_DOID_8778_ICAM1_textmining': ['bio/hg19_ICAM1', 'bio/hg38_ICAM1'], 'bio/DGA_DOID_8778_AMD1_textmining': ['bio/hg19_AMD1', 'bio/hg38_AMD1'], 'bio/DGA_DOID_8778_HCAR1_textmining': ['bio/hg19_HCAR1', 'bio/hg38_HCAR1'], 'bio/DGA_DOID_8778_PPP2R4_textmining': ['bio/hg19_PPP2R4'], 'bio/DGA_DOID_8778_NTRK2_textmining': ['bio/hg19_NTRK2', 'bio/hg38_NTRK2'], 'bio/DGA_DOID_8778_S100A7A_textmining': ['bio/hg19_S100A7A', 'bio/hg38_S100A7A'], 'bio/DGA_DOID_8778_IL15_textmining': ['bio/hg19_IL15', 'bio/hg38_IL15'], 'bio/DGA_DOID_8778_IL22RA1_textmining': ['bio/hg19_IL22RA1', 'bio/hg38_IL22RA1'], 'bio/DGA_DOID_8778_RUNX3_experiments': ['bio/hg19_RUNX3', 'bio/hg38_RUNX3'], 'bio/DGA_DOID_8778_EZH2_textmining': ['bio/hg19_EZH2', 'bio/hg38_EZH2'], 'bio/DGA_DOID_8778_PPIB_textmining': ['bio/hg19_PPIB', 'bio/hg38_PPIB'], 'bio/DGA_DOID_8778_CASP10_textmining': ['bio/hg19_CASP10', 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'bio/DGA_DOID_8778_GPR15_textmining': ['bio/hg19_GPR15', 'bio/hg38_GPR15'], 'bio/DGA_DOID_8778_hsa-miR-122-5p_textmining': [], 'bio/DGA_DOID_8778_CNST_textmining': ['bio/hg19_CNST', 'bio/hg38_CNST'], 'bio/DGA_DOID_8778_APOLD1_textmining': ['bio/hg19_APOLD1', 'bio/hg38_APOLD1'], 'bio/DGA_DOID_8778_CD101_textmining': ['bio/hg19_CD101', 'bio/hg38_CD101'], 'bio/DGA_DOID_8778_UBE2D1_textmining': ['bio/hg19_UBE2D1', 'bio/hg38_UBE2D1'], 'bio/DGA_DOID_8778_CNPY3_textmining': ['bio/hg19_CNPY3', 'bio/hg38_CNPY3'], 'bio/DGA_DOID_8778_TFF2_textmining': ['bio/hg19_TFF2', 'bio/hg38_TFF2'], 'bio/DGA_DOID_8778_DDX53_textmining': ['bio/hg19_DDX53', 'bio/hg38_DDX53'], 'bio/DGA_DOID_8778_hsa-let-7d-5p_textmining': [], 'bio/DGA_DOID_8778_KIT_textmining': ['bio/hg19_KIT', 'bio/hg38_KIT'], 'bio/DGA_DOID_8778_TSPAN14_experiments': ['bio/hg19_TSPAN14', 'bio/hg38_TSPAN14'], 'bio/DGA_DOID_8778_TAX1BP1_textmining': ['bio/hg19_TAX1BP1', 'bio/hg38_TAX1BP1'], 'bio/DGA_DOID_8778_CLTC_textmining': ['bio/hg19_CLTC', 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'bio/DGA_DOID_8778_FPR2_textmining': ['bio/hg19_FPR2', 'bio/hg38_FPR2'], 'bio/DGA_DOID_8778_DEFB105A_textmining': ['bio/hg19_DEFB105A', 'bio/hg38_DEFB105A'], 'bio/DGA_DOID_8778_IFI44L_textmining': ['bio/hg19_IFI44L', 'bio/hg38_IFI44L'], 'bio/DGA_DOID_8778_DERL3_textmining': ['bio/hg19_DERL3', 'bio/hg38_DERL3'], 'bio/DGA_DOID_8778_ACVRL1_textmining': ['bio/hg19_ACVRL1', 'bio/hg38_ACVRL1'], 'bio/DGA_DOID_8778_ZNF501_textmining': ['bio/hg19_ZNF501', 'bio/hg38_ZNF501'], 'bio/DGA_DOID_8778_EGR1_textmining': ['bio/hg19_EGR1', 'bio/hg38_EGR1'], 'bio/DGA_DOID_8778_PTPN22_experiments': ['bio/hg19_PTPN22', 'bio/hg38_PTPN22'], 'bio/DGA_DOID_8778_MC1R_textmining': ['bio/hg19_MC1R', 'bio/hg38_MC1R'], 'bio/DGA_DOID_8778_DAND5_textmining': ['bio/hg19_DAND5', 'bio/hg38_DAND5'], 'bio/DGA_DOID_8778_VCP_textmining': ['bio/hg19_VCP', 'bio/hg38_VCP'], 'bio/DGA_DOID_8778_BCL6_textmining': ['bio/hg19_BCL6', 'bio/hg38_BCL6'], 'bio/DGA_DOID_8778_SLC7A11_textmining': ['bio/hg19_SLC7A11', 'bio/hg38_SLC7A11'], 'bio/DGA_DOID_8778_RTEL1_experiments': ['bio/hg19_RTEL1', 'bio/hg38_RTEL1'], 'bio/DGA_DOID_8778_ST14_textmining': ['bio/hg19_ST14', 'bio/hg38_ST14'], 'bio/DGA_DOID_8778_CRBN_textmining': ['bio/hg19_CRBN', 'bio/hg38_CRBN'], 'bio/DGA_DOID_8778_OGG1_textmining': ['bio/hg19_OGG1', 'bio/hg38_OGG1'], 'bio/DGA_DOID_8778_IL10RB_textmining': ['bio/hg19_IL10RB', 'bio/hg38_IL10RB'], 'bio/DGA_DOID_8778_ATG101_textmining': ['bio/hg19_ATG101', 'bio/hg38_ATG101'], 'bio/DGA_DOID_8778_EDN3_experiments': ['bio/hg19_EDN3', 'bio/hg38_EDN3'], 'bio/DGA_DOID_8778_KLF2_textmining': ['bio/hg19_KLF2', 'bio/hg38_KLF2'], 'bio/DGA_DOID_8778_CADM1_textmining': ['bio/hg19_CADM1', 'bio/hg38_CADM1'], 'bio/DGA_DOID_8778_KCNJ6_textmining': ['bio/hg19_KCNJ6', 'bio/hg38_KCNJ6'], 'bio/DGA_DOID_8778_IL37_textmining': ['bio/hg19_IL37', 'bio/hg38_IL37'], 'bio/DGA_DOID_8778_CD300LF_textmining': ['bio/hg19_CD300LF', 'bio/hg38_CD300LF'], 'bio/DGA_DOID_8778_LSP1_textmining': ['bio/hg19_LSP1', 'bio/hg38_LSP1'], 'bio/DGA_DOID_8778_DNMT3B_textmining': ['bio/hg19_DNMT3B', 'bio/hg38_DNMT3B'], 'bio/DGA_DOID_8778_GNAT3_textmining': ['bio/hg19_GNAT3', 'bio/hg38_GNAT3'], 'bio/DGA_DOID_8778_DNAJB1_textmining': ['bio/hg19_DNAJB1', 'bio/hg38_DNAJB1'], 'bio/DGA_DOID_8778_COMMD9_textmining': ['bio/hg19_COMMD9', 'bio/hg38_COMMD9'], 'bio/DGA_DOID_8778_LCN2_textmining': ['bio/hg19_LCN2', 'bio/hg38_LCN2'], 'bio/DGA_DOID_8778_hsa-miR-769-5p_textmining': [], 'bio/DGA_DOID_8778_hsa-miR-27a-3p_textmining': [], 'bio/DGA_DOID_8778_LCK_textmining': ['bio/hg19_LCK', 'bio/hg38_LCK'], 'bio/DGA_DOID_8778_CXCL16_textmining': ['bio/hg19_CXCL16', 'bio/hg38_CXCL16'], 'bio/DGA_DOID_8778_CGN_textmining': ['bio/hg19_CGN', 'bio/hg38_CGN'], 'bio/DGA_DOID_8778_NOX4_textmining': ['bio/hg19_NOX4', 'bio/hg38_NOX4'], 'bio/DGA_DOID_8778_KIAA0226_textmining': ['bio/hg19_KIAA0226'], 'bio/DGA_DOID_8778_HMGA2_textmining': ['bio/hg19_HMGA2', 'bio/hg38_HMGA2'], 'bio/DGA_DOID_8778_EPHA4_textmining': ['bio/hg19_EPHA4', 'bio/hg38_EPHA4'], 'bio/DGA_DOID_8778_ZBTB22_textmining': ['bio/hg19_ZBTB22', 'bio/hg38_ZBTB22'], 'bio/DGA_DOID_8778_FOXP2_experiments': ['bio/hg19_FOXP2', 'bio/hg38_FOXP2'], 'bio/DGA_DOID_8778_PRSS53_textmining': ['bio/hg19_PRSS53', 'bio/hg38_PRSS53'], 'bio/DGA_DOID_8778_SRC_textmining': ['bio/hg19_SRC', 'bio/hg38_SRC'], 'bio/DGA_DOID_8778_LINC00994_textmining': ['bio/hg19_LINC00994', 'bio/hg38_LINC00994'], 'bio/DGA_DOID_8778_AES_textmining': ['bio/hg19_AES', 'bio/hg38_AES'], 'bio/DGA_DOID_8778_PRKCZ_textmining': ['bio/hg19_PRKCZ', 'bio/hg38_PRKCZ'], 'bio/DGA_DOID_8778_PIWIL1_textmining': ['bio/hg19_PIWIL1', 'bio/hg38_PIWIL1'], 'bio/DGA_DOID_8778_CMKLR1_textmining': ['bio/hg19_CMKLR1', 'bio/hg38_CMKLR1'], 'bio/DGA_DOID_8778_DAP_experiments': ['bio/hg19_DAP', 'bio/hg38_DAP'], 'bio/DGA_DOID_8778_ADAD1_textmining': ['bio/hg19_ADAD1', 'bio/hg38_ADAD1'], 'bio/DGA_DOID_8778_LPXN_experiments': ['bio/hg19_LPXN', 'bio/hg38_LPXN'], 'bio/DGA_DOID_8778_CLEC2D_textmining': ['bio/hg19_CLEC2D', 'bio/hg38_CLEC2D'], 'bio/DGA_DOID_8778_PGK1_textmining': ['bio/hg19_PGK1', 'bio/hg38_PGK1'], 'bio/DGA_DOID_8778_RIPK4_textmining': ['bio/hg19_RIPK4', 'bio/hg38_RIPK4'], 'bio/DGA_DOID_8778_PSKH1_textmining': ['bio/hg19_PSKH1', 'bio/hg38_PSKH1'], 'bio/DGA_DOID_8778_LCE4A_textmining': ['bio/hg19_LCE4A', 'bio/hg38_LCE4A'], 'bio/DGA_DOID_8778_NPY1R_textmining': ['bio/hg19_NPY1R', 'bio/hg38_NPY1R'], 'bio/DGA_DOID_8778_FAF1_textmining': ['bio/hg19_FAF1', 'bio/hg38_FAF1'], 'bio/DGA_DOID_8778_DNTT_textmining': ['bio/hg19_DNTT', 'bio/hg38_DNTT'], 'bio/DGA_DOID_8778_BANK1_experiments': ['bio/hg19_BANK1', 'bio/hg38_BANK1'], 'bio/DGA_DOID_8778_FUT8_textmining': ['bio/hg19_FUT8', 'bio/hg38_FUT8'], 'bio/DGA_DOID_8778_IFI16_textmining': ['bio/hg19_IFI16', 'bio/hg38_IFI16'], 'bio/DGA_DOID_8778_KANSL1_textmining': ['bio/hg19_KANSL1', 'bio/hg38_KANSL1'], 'bio/DGA_DOID_8778_JAK3_textmining': ['bio/hg19_JAK3', 'bio/hg38_JAK3'], 'bio/DGA_DOID_8778_PER3_textmining': ['bio/hg19_PER3', 'bio/hg38_PER3'], 'bio/DGA_DOID_8778_C6orf10_textmining': ['bio/hg19_C6orf10', 'bio/hg38_C6orf10'], 'bio/DGA_DOID_8778_DDC_textmining': ['bio/hg19_DDC', 'bio/hg38_DDC'], 'bio/DGA_DOID_8778_SHBG_textmining': ['bio/hg19_SHBG', 'bio/hg38_SHBG'], 'bio/DGA_DOID_8778_TMEM17_experiments': ['bio/hg19_TMEM17', 'bio/hg38_TMEM17'], 'bio/DGA_DOID_8778_PER2_textmining': ['bio/hg19_PER2', 'bio/hg38_PER2'], 'bio/DGA_DOID_8778_FAM155A_textmining': ['bio/hg19_FAM155A', 'bio/hg38_FAM155A'], 'bio/DGA_DOID_8778_BCO2_textmining': ['bio/hg19_BCO2', 'bio/hg38_BCO2'], 'bio/DGA_DOID_8778_MAPK10_textmining': ['bio/hg19_MAPK10', 'bio/hg38_MAPK10'], 'bio/DGA_DOID_8778_FGF19_textmining': ['bio/hg19_FGF19', 'bio/hg38_FGF19'], 'bio/DGA_DOID_8778_S100B_textmining': ['bio/hg19_S100B', 'bio/hg38_S100B'], 'bio/DGA_DOID_8778_KL_textmining': ['bio/hg19_KL', 'bio/hg38_KL'], 'bio/DGA_DOID_8778_CYP26A1_textmining': ['bio/hg19_CYP26A1', 'bio/hg38_CYP26A1'], 'bio/DGA_DOID_8778_SLC2A3_textmining': ['bio/hg19_SLC2A3', 'bio/hg38_SLC2A3'], 'bio/DGA_DOID_8778_KRT8_textmining': ['bio/hg19_KRT8', 'bio/hg38_KRT8'], 'bio/DGA_DOID_8778_CCDC122_textmining': ['bio/hg19_CCDC122', 'bio/hg38_CCDC122'], 'bio/DGA_DOID_8778_ADAM15_textmining': ['bio/hg19_ADAM15', 'bio/hg38_ADAM15'], 'bio/DGA_DOID_8778_SAMHD1_textmining': ['bio/hg19_SAMHD1', 'bio/hg38_SAMHD1'], 'bio/DGA_DOID_8778_BANK1_textmining': ['bio/hg19_BANK1', 'bio/hg38_BANK1'], 'bio/DGA_DOID_8778_C7orf72_textmining': ['bio/hg19_C7orf72'], 'bio/DGA_DOID_8778_CD1C_textmining': ['bio/hg19_CD1C', 'bio/hg38_CD1C'], 'bio/DGA_DOID_8778_TRPC6_textmining': ['bio/hg19_TRPC6', 'bio/hg38_TRPC6'], 'bio/DGA_DOID_8778_SSTR4_textmining': ['bio/hg19_SSTR4', 'bio/hg38_SSTR4'], 'bio/DGA_DOID_8778_ARG2_textmining': ['bio/hg19_ARG2', 'bio/hg38_ARG2'], 'bio/DGA_DOID_8778_COL7A1_textmining': ['bio/hg19_COL7A1', 'bio/hg38_COL7A1'], 'bio/DGA_DOID_8778_ETS2_textmining': ['bio/hg19_ETS2', 'bio/hg38_ETS2'], 'bio/DGA_DOID_8778_SMPD1_textmining': ['bio/hg19_SMPD1', 'bio/hg38_SMPD1'], 'bio/DGA_DOID_8778_AQP8_textmining': ['bio/hg19_AQP8', 'bio/hg38_AQP8'], 'bio/DGA_DOID_8778_USP3_textmining': ['bio/hg19_USP3', 'bio/hg38_USP3'], 'bio/DGA_DOID_8778_PDIA3_textmining': ['bio/hg19_PDIA3', 'bio/hg38_PDIA3'], 'bio/DGA_DOID_8778_ADORA1_textmining': ['bio/hg19_ADORA1', 'bio/hg38_ADORA1'], 'bio/DGA_DOID_8778_FST_textmining': ['bio/hg19_FST', 'bio/hg38_FST'], 'bio/DGA_DOID_8778_FDCSP_textmining': ['bio/hg19_FDCSP', 'bio/hg38_FDCSP'], 'bio/DGA_DOID_8778_ZSCAN1_textmining': ['bio/hg19_ZSCAN1', 'bio/hg38_ZSCAN1'], 'bio/DGA_DOID_8778_GLS2_textmining': ['bio/hg19_GLS2', 'bio/hg38_GLS2'], 'bio/DGA_DOID_8778_SMAD6_textmining': ['bio/hg19_SMAD6', 'bio/hg38_SMAD6'], 'bio/DGA_DOID_8778_TXLNA_textmining': ['bio/hg19_TXLNA', 'bio/hg38_TXLNA'], 'bio/DGA_DOID_8778_RC3H2_textmining': ['bio/hg19_RC3H2', 'bio/hg38_RC3H2'], 'bio/DGA_DOID_8778_SRSF6_textmining': ['bio/hg19_SRSF6', 'bio/hg38_SRSF6'], 'bio/DGA_DOID_8778_PDGFC_textmining': ['bio/hg19_PDGFC', 'bio/hg38_PDGFC'], 'bio/DGA_DOID_8778_LGALS9_textmining': ['bio/hg19_LGALS9', 'bio/hg38_LGALS9'], 'bio/DGA_DOID_8778_PCDH9_experiments': ['bio/hg19_PCDH9', 'bio/hg38_PCDH9'], 'bio/DGA_DOID_8778_LYZ_textmining': ['bio/hg19_LYZ', 'bio/hg38_LYZ'], 'bio/DGA_DOID_8778_CLDN18_textmining': ['bio/hg19_CLDN18', 'bio/hg38_CLDN18'], 'bio/DGA_DOID_8778_FCN2_textmining': ['bio/hg19_FCN2', 'bio/hg38_FCN2'], 'bio/DGA_DOID_8778_SLCO1B1_textmining': ['bio/hg19_SLCO1B1', 'bio/hg38_SLCO1B1'], 'bio/DGA_DOID_8778_F10_textmining': ['bio/hg19_F10', 'bio/hg38_F10'], 'bio/DGA_DOID_8778_CTB-41I6.2_textmining': [], 'bio/DGA_DOID_8778_SIRPA_textmining': ['bio/hg19_SIRPA', 'bio/hg38_SIRPA'], 'bio/DGA_DOID_8778_USP15_textmining': ['bio/hg19_USP15', 'bio/hg38_USP15'], 'bio/DGA_DOID_8778_NPY4R_textmining': ['bio/hg19_NPY4R', 'bio/hg38_NPY4R'], 'bio/DGA_DOID_8778_GZMA_textmining': ['bio/hg19_GZMA', 'bio/hg38_GZMA'], 'bio/DGA_DOID_8778_GATA3_textmining': ['bio/hg19_GATA3', 'bio/hg38_GATA3'], 'bio/DGA_DOID_8778_DAG1_textmining': ['bio/hg19_DAG1', 'bio/hg38_DAG1'], 'bio/DGA_DOID_8778_OLFM4_textmining': ['bio/hg19_OLFM4', 'bio/hg38_OLFM4'], 'bio/DGA_DOID_8778_TPH1_textmining': ['bio/hg19_TPH1', 'bio/hg38_TPH1'], 'bio/DGA_DOID_8778_RHOA_experiments': ['bio/hg19_RHOA', 'bio/hg38_RHOA'], 'bio/DGA_DOID_8778_F3_textmining': ['bio/hg19_F3', 'bio/hg38_F3'], 'bio/DGA_DOID_8778_TAC1_textmining': ['bio/hg19_TAC1', 'bio/hg38_TAC1'], 'bio/DGA_DOID_8778_ALDH1A2_textmining': ['bio/hg19_ALDH1A2', 'bio/hg38_ALDH1A2'], 'bio/DGA_DOID_8778_SPP1_textmining': ['bio/hg19_SPP1', 'bio/hg38_SPP1'], 'bio/DGA_DOID_8778_LRRK2_knowledge': ['bio/hg19_LRRK2', 'bio/hg38_LRRK2'], 'bio/DGA_DOID_8778_MMD_textmining': ['bio/hg19_MMD', 'bio/hg38_MMD'], 'bio/DGA_DOID_8778_IL21-AS1_textmining': ['bio/hg19_IL21-AS1', 'bio/hg38_IL21-AS1'], 'bio/DGA_DOID_8778_TOLLIP_textmining': ['bio/hg19_TOLLIP', 'bio/hg38_TOLLIP'], 'bio/DGA_DOID_8778_EXOC8_textmining': ['bio/hg19_EXOC8', 'bio/hg38_EXOC8'], 'bio/DGA_DOID_8778_SLC51A_textmining': ['bio/hg19_SLC51A', 'bio/hg38_SLC51A'], 'bio/DGA_DOID_8778_NGF_textmining': ['bio/hg19_NGF', 'bio/hg38_NGF'], 'bio/DGA_DOID_8778_DTNBP1_textmining': ['bio/hg19_DTNBP1', 'bio/hg38_DTNBP1'], 'bio/DGA_DOID_8778_CHST15_textmining': ['bio/hg19_CHST15', 'bio/hg38_CHST15'], 'bio/DGA_DOID_8778_CCL24_textmining': ['bio/hg19_CCL24', 'bio/hg38_CCL24'], 'bio/DGA_DOID_8778_LIPE_textmining': ['bio/hg19_LIPE', 'bio/hg38_LIPE'], 'bio/DGA_DOID_8778_JAM3_textmining': ['bio/hg19_JAM3', 'bio/hg38_JAM3'], 'bio/DGA_DOID_8778_SLC51B_textmining': ['bio/hg19_SLC51B', 'bio/hg38_SLC51B'], 'bio/DGA_DOID_8778_PRSS3_textmining': ['bio/hg19_PRSS3', 'bio/hg38_PRSS3'], 'bio/DGA_DOID_8778_CYP7A1_textmining': ['bio/hg19_CYP7A1', 'bio/hg38_CYP7A1'], 'bio/DGA_DOID_8778_TUBB4A_textmining': ['bio/hg19_TUBB4A', 'bio/hg38_TUBB4A'], 'bio/DGA_DOID_8778_TFF3_textmining': ['bio/hg19_TFF3', 'bio/hg38_TFF3'], 'bio/DGA_DOID_8778_AKAP11_experiments': ['bio/hg19_AKAP11', 'bio/hg38_AKAP11'], 'bio/DGA_DOID_8778_HNRNPL_textmining': ['bio/hg19_HNRNPL', 'bio/hg38_HNRNPL'], 'bio/DGA_DOID_8778_LTBR_textmining': ['bio/hg19_LTBR', 'bio/hg38_LTBR'], 'bio/DGA_DOID_8778_ARHGEF2_textmining': ['bio/hg19_ARHGEF2', 'bio/hg38_ARHGEF2'], 'bio/DGA_DOID_8778_CXCR5_experiments': ['bio/hg19_CXCR5', 'bio/hg38_CXCR5'], 'bio/DGA_DOID_8778_FOXO4_textmining': ['bio/hg19_FOXO4', 'bio/hg38_FOXO4'], 'bio/DGA_DOID_8778_IL12B_textmining': ['bio/hg19_IL12B', 'bio/hg38_IL12B'], 'bio/DGA_DOID_8778_SAMD14_textmining': ['bio/hg19_SAMD14', 'bio/hg38_SAMD14'], 'bio/DGA_DOID_8778_P4HB_textmining': ['bio/hg19_P4HB', 'bio/hg38_P4HB'], 'bio/DGA_DOID_8778_CLPB_textmining': ['bio/hg19_CLPB', 'bio/hg38_CLPB'], 'bio/DGA_DOID_8778_ETS1_textmining': ['bio/hg19_ETS1', 'bio/hg38_ETS1'], 'bio/DGA_DOID_8778_GAPDH_textmining': ['bio/hg19_GAPDH', 'bio/hg38_GAPDH'], 'bio/DGA_DOID_8778_CCL2_textmining': ['bio/hg19_CCL2', 'bio/hg38_CCL2'], 'bio/DGA_DOID_8778_ERN1_textmining': ['bio/hg19_ERN1', 'bio/hg38_ERN1'], 'bio/DGA_DOID_8778_VTN_textmining': ['bio/hg19_VTN', 'bio/hg38_VTN'], 'bio/DGA_DOID_8778_HPS5_textmining': ['bio/hg19_HPS5', 'bio/hg38_HPS5'], 'bio/DGA_DOID_8778_RAF1_textmining': ['bio/hg19_RAF1', 'bio/hg38_RAF1'], 'bio/DGA_DOID_8778_DPP4_textmining': ['bio/hg19_DPP4', 'bio/hg38_DPP4'], 'bio/DGA_DOID_8778_MAPK8_textmining': ['bio/hg19_MAPK8', 'bio/hg38_MAPK8'], 'bio/DGA_DOID_8778_FOXA1_textmining': ['bio/hg19_FOXA1', 'bio/hg38_FOXA1'], 'bio/DGA_DOID_8778_TAF1_textmining': ['bio/hg19_TAF1', 'bio/hg38_TAF1'], 'bio/DGA_DOID_8778_NRXN1_textmining': ['bio/hg19_NRXN1', 'bio/hg38_NRXN1'], 'bio/DGA_DOID_8778_VPS16_textmining': ['bio/hg19_VPS16', 'bio/hg38_VPS16'], 'bio/DGA_DOID_8778_SCT_textmining': ['bio/hg19_SCT', 'bio/hg38_SCT'], 'bio/DGA_DOID_8778_SPATA6_textmining': ['bio/hg19_SPATA6', 'bio/hg38_SPATA6'], 'bio/DGA_DOID_8778_USE1_textmining': ['bio/hg19_USE1', 'bio/hg38_USE1'], 'bio/DGA_DOID_8778_SH2B3_textmining': ['bio/hg19_SH2B3', 'bio/hg38_SH2B3'], 'bio/DGA_DOID_8778_SHMT1_textmining': ['bio/hg19_SHMT1', 'bio/hg38_SHMT1'], 'bio/DGA_DOID_8778_ELN_textmining': ['bio/hg19_ELN', 'bio/hg38_ELN'], 'bio/DGA_DOID_8778_HIST1H4E_textmining': ['bio/hg19_HIST1H4E', 'bio/hg38_HIST1H4E'], 'bio/DGA_DOID_8778_UGT2B17_textmining': ['bio/hg19_UGT2B17', 'bio/hg38_UGT2B17'], 'bio/DGA_DOID_8778_SEMA6C_textmining': ['bio/hg19_SEMA6C', 'bio/hg38_SEMA6C'], 'bio/DGA_DOID_8778_PML_textmining': ['bio/hg19_PML', 'bio/hg38_PML'], 'bio/DGA_DOID_8778_SFMBT1_experiments': ['bio/hg19_SFMBT1', 'bio/hg38_SFMBT1'], 'bio/DGA_DOID_8778_PRKCE_textmining': ['bio/hg19_PRKCE', 'bio/hg38_PRKCE'], 'bio/DGA_DOID_8778_INSC_textmining': ['bio/hg19_INSC', 'bio/hg38_INSC'], 'bio/DGA_DOID_8778_TRPM7_textmining': ['bio/hg19_TRPM7', 'bio/hg38_TRPM7'], 'bio/DGA_DOID_8778_ADAMTSL5_textmining': ['bio/hg19_ADAMTSL5', 'bio/hg38_ADAMTSL5'], 'bio/DGA_DOID_8778_BRINP3_textmining': ['bio/hg19_BRINP3', 'bio/hg38_BRINP3'], 'bio/DGA_DOID_8778_hsa-miR-424-5p_textmining': [], 'bio/DGA_DOID_8778_C1QBP_textmining': ['bio/hg19_C1QBP', 'bio/hg38_C1QBP'], 'bio/DGA_DOID_8778_UBE2K_textmining': ['bio/hg19_UBE2K', 'bio/hg38_UBE2K'], 'bio/DGA_DOID_8778_TFG_textmining': ['bio/hg19_TFG', 'bio/hg38_TFG'], 'bio/DGA_DOID_8778_NOX3_textmining': ['bio/hg19_NOX3', 'bio/hg38_NOX3'], 'bio/DGA_DOID_8778_IL17REL_textmining': ['bio/hg19_IL17REL', 'bio/hg38_IL17REL'], 'bio/DGA_DOID_8778_NFIA_textmining': ['bio/hg19_NFIA', 'bio/hg38_NFIA'], 'bio/DGA_DOID_8778_RPTOR_textmining': ['bio/hg19_RPTOR', 'bio/hg38_RPTOR'], 'bio/DGA_DOID_8778_CXCR4_textmining': ['bio/hg19_CXCR4', 'bio/hg38_CXCR4'], 'bio/DGA_DOID_8778_HSH2D_textmining': ['bio/hg19_HSH2D', 'bio/hg38_HSH2D'], 'bio/DGA_DOID_8778_STAT4_experiments': ['bio/hg19_STAT4', 'bio/hg38_STAT4'], 'bio/DGA_DOID_8778_CCR8_textmining': ['bio/hg19_CCR8', 'bio/hg38_CCR8'], 'bio/DGA_DOID_8778_FUT3_textmining': ['bio/hg19_FUT3', 'bio/hg38_FUT3'], 'bio/DGA_DOID_8778_DENND1B_experiments': ['bio/hg19_DENND1B', 'bio/hg38_DENND1B'], 'bio/DGA_DOID_8778_HTR2A_textmining': ['bio/hg19_HTR2A', 'bio/hg38_HTR2A'], 'bio/DGA_DOID_8778_AMBP_textmining': ['bio/hg19_AMBP', 'bio/hg38_AMBP'], 'bio/DGA_DOID_8778_NCAM1_textmining': ['bio/hg19_NCAM1', 'bio/hg38_NCAM1'], 'bio/DGA_DOID_8778_HSPB2_textmining': ['bio/hg19_HSPB2', 'bio/hg38_HSPB2'], 'bio/DGA_DOID_8778_AOAH_textmining': ['bio/hg19_AOAH', 'bio/hg38_AOAH'], 'bio/DGA_DOID_8778_UBE2J1_textmining': ['bio/hg19_UBE2J1', 'bio/hg38_UBE2J1'], 'bio/DGA_DOID_8778_LCE2C_textmining': ['bio/hg19_LCE2C', 'bio/hg38_LCE2C'], 'bio/DGA_DOID_8778_MAF_textmining': ['bio/hg19_MAF', 'bio/hg38_MAF'], 'bio/DGA_DOID_8778_KRAS_textmining': ['bio/hg19_KRAS', 'bio/hg38_KRAS'], 'bio/DGA_DOID_8778_hsa-miR-22-3p_textmining': [], 'bio/DGA_DOID_8778_IKBKE_textmining': ['bio/hg19_IKBKE', 'bio/hg38_IKBKE'], 'bio/DGA_DOID_8778_ST8SIA6_textmining': ['bio/hg19_ST8SIA6', 'bio/hg38_ST8SIA6'], 'bio/DGA_DOID_8778_PRKCB_textmining': ['bio/hg19_PRKCB', 'bio/hg38_PRKCB'], 'bio/DGA_DOID_8778_SEL1L_textmining': ['bio/hg19_SEL1L', 'bio/hg38_SEL1L'], 'bio/DGA_DOID_8778_MAF1_textmining': ['bio/hg19_MAF1', 'bio/hg38_MAF1'], 'bio/DGA_DOID_8778_TNFSF8_textmining': ['bio/hg19_TNFSF8', 'bio/hg38_TNFSF8'], 'bio/DGA_DOID_8778_SLC12A2_textmining': ['bio/hg19_SLC12A2', 'bio/hg38_SLC12A2'], 'bio/DGA_DOID_8778_SLC25A46_textmining': ['bio/hg19_SLC25A46', 'bio/hg38_SLC25A46'], 'bio/DGA_DOID_8778_FOXP2_textmining': ['bio/hg19_FOXP2', 'bio/hg38_FOXP2'], 'bio/DGA_DOID_8778_ARIH1_textmining': ['bio/hg19_ARIH1', 'bio/hg38_ARIH1'], 'bio/DGA_DOID_8778_SLC30A4_textmining': ['bio/hg19_SLC30A4', 'bio/hg38_SLC30A4'], 'bio/DGA_DOID_8778_CAV1_textmining': ['bio/hg19_CAV1', 'bio/hg38_CAV1'], 'bio/DGA_DOID_8778_PSMB8_textmining': ['bio/hg19_PSMB8', 'bio/hg38_PSMB8'], 'bio/DGA_DOID_8778_NDUFB9_textmining': ['bio/hg19_NDUFB9', 'bio/hg38_NDUFB9'], 'bio/DGA_DOID_8778_CD8A_textmining': ['bio/hg19_CD8A', 'bio/hg38_CD8A'], 'bio/DGA_DOID_8778_SCN11A_textmining': ['bio/hg19_SCN11A', 'bio/hg38_SCN11A'], 'bio/DGA_DOID_8778_HBA1_textmining': ['bio/hg19_HBA1', 'bio/hg38_HBA1'], 'bio/DGA_DOID_8778_RAD51B_textmining': ['bio/hg19_RAD51B', 'bio/hg38_RAD51B'], 'bio/DGA_DOID_8778_TECPR1_textmining': ['bio/hg19_TECPR1', 'bio/hg38_TECPR1'], 'bio/DGA_DOID_8778_ALDH1A1_textmining': ['bio/hg19_ALDH1A1', 'bio/hg38_ALDH1A1'], 'bio/DGA_DOID_8778_IFRD1_textmining': ['bio/hg19_IFRD1', 'bio/hg38_IFRD1'], 'bio/DGA_DOID_8778_SGPP2_textmining': ['bio/hg19_SGPP2', 'bio/hg38_SGPP2'], 'bio/DGA_DOID_8778_RAB32_textmining': ['bio/hg19_RAB32', 'bio/hg38_RAB32'], 'bio/DGA_DOID_8778_C5orf56_experiments': ['bio/hg19_C5orf56', 'bio/hg38_C5orf56'], 'bio/DGA_DOID_8778_MAST3_textmining': ['bio/hg19_MAST3', 'bio/hg38_MAST3'], 'bio/DGA_DOID_8778_ADORA3_textmining': ['bio/hg19_ADORA3', 'bio/hg38_ADORA3'], 'bio/DGA_DOID_8778_SLC22A7_textmining': ['bio/hg19_SLC22A7', 'bio/hg38_SLC22A7'], 'bio/DGA_DOID_8778_ALLC_textmining': ['bio/hg19_ALLC', 'bio/hg38_ALLC'], 'bio/DGA_DOID_8778_ZNF300_textmining': ['bio/hg19_ZNF300', 'bio/hg38_ZNF300'], 'bio/DGA_DOID_8778_TUBB_textmining': ['bio/hg19_TUBB', 'bio/hg38_TUBB'], 'bio/DGA_DOID_8778_GNLY_textmining': ['bio/hg19_GNLY', 'bio/hg38_GNLY'], 'bio/DGA_DOID_8778_ZNF649_textmining': ['bio/hg19_ZNF649', 'bio/hg38_ZNF649'], 'bio/DGA_DOID_8778_HIST2H2AC_textmining': ['bio/hg19_HIST2H2AC', 'bio/hg38_HIST2H2AC'], 'bio/DGA_DOID_8778_PDZD2_textmining': ['bio/hg19_PDZD2', 'bio/hg38_PDZD2'], 'bio/DGA_DOID_8778_MOXD1_textmining': ['bio/hg19_MOXD1', 'bio/hg38_MOXD1'], 'bio/DGA_DOID_8778_MRPL49_textmining': ['bio/hg19_MRPL49', 'bio/hg38_MRPL49'], 'bio/DGA_DOID_8778_CR1_textmining': ['bio/hg19_CR1', 'bio/hg38_CR1'], 'bio/DGA_DOID_8778_AHR_textmining': ['bio/hg19_AHR', 'bio/hg38_AHR'], 'bio/DGA_DOID_8778_hsa-miR-127-3p_textmining': [], 'bio/DGA_DOID_8778_EPHX1_textmining': ['bio/hg19_EPHX1', 'bio/hg38_EPHX1'], 'bio/DGA_DOID_8778_IL17C_textmining': ['bio/hg19_IL17C', 'bio/hg38_IL17C'], 'bio/DGA_DOID_8778_MAPKAPK2_textmining': ['bio/hg19_MAPKAPK2', 'bio/hg38_MAPKAPK2'], 'bio/DGA_DOID_8778_FADS3_textmining': ['bio/hg19_FADS3', 'bio/hg38_FADS3'], 'bio/DGA_DOID_8778_B2M_textmining': ['bio/hg19_B2M', 'bio/hg38_B2M'], 'bio/DGA_DOID_8778_RGS10_textmining': ['bio/hg19_RGS10', 'bio/hg38_RGS10'], 'bio/DGA_DOID_8778_MASP1_textmining': ['bio/hg19_MASP1', 'bio/hg38_MASP1'], 'bio/DGA_DOID_8778_FAM118A_textmining': ['bio/hg19_FAM118A', 'bio/hg38_FAM118A'], 'bio/DGA_DOID_8778_P2RY6_textmining': ['bio/hg19_P2RY6', 'bio/hg38_P2RY6'], 'bio/DGA_DOID_8778_ITGB3_textmining': ['bio/hg19_ITGB3', 'bio/hg38_ITGB3'], 'bio/DGA_DOID_8778_GFM2_textmining': ['bio/hg19_GFM2', 'bio/hg38_GFM2'], 'bio/DGA_DOID_8778_DUSP5_textmining': ['bio/hg19_DUSP5', 'bio/hg38_DUSP5'], 'bio/DGA_DOID_8778_NOS3_textmining': ['bio/hg19_NOS3', 'bio/hg38_NOS3'], 'bio/DGA_DOID_8778_ST6GALNAC6_textmining': ['bio/hg19_ST6GALNAC6', 'bio/hg38_ST6GALNAC6'], 'bio/DGA_DOID_8778_NRON_textmining': ['bio/hg19_NRON', 'bio/hg38_NRON'], 'bio/DGA_DOID_8778_HGNC:9982_textmining': [], 'bio/DGA_DOID_8778_TMEM135_experiments': ['bio/hg19_TMEM135', 'bio/hg38_TMEM135'], 'bio/DGA_DOID_8778_IL25_textmining': ['bio/hg19_IL25', 'bio/hg38_IL25'], 'bio/DGA_DOID_8778_TIMP1_textmining': ['bio/hg19_TIMP1', 'bio/hg38_TIMP1'], 'bio/DGA_DOID_8778_DNMT3A_experiments': ['bio/hg19_DNMT3A', 'bio/hg38_DNMT3A'], 'bio/DGA_DOID_8778_BTC_textmining': ['bio/hg19_BTC', 'bio/hg38_BTC'], 'bio/DGA_DOID_8778_CD300A_textmining': ['bio/hg19_CD300A', 'bio/hg38_CD300A'], 'bio/DGA_DOID_8778_CYP3A4_textmining': ['bio/hg19_CYP3A4', 'bio/hg38_CYP3A4'], 'bio/DGA_DOID_8778_MAPT_textmining': ['bio/hg19_MAPT', 'bio/hg38_MAPT'], 'bio/DGA_DOID_8778_TYRO3_textmining': ['bio/hg19_TYRO3', 'bio/hg38_TYRO3'], 'bio/DGA_DOID_8778_MT1G_textmining': ['bio/hg19_MT1G', 'bio/hg38_MT1G'], 'bio/DGA_DOID_8778_DCD_textmining': ['bio/hg19_DCD', 'bio/hg38_DCD'], 'bio/DGA_DOID_8778_MAP2K1_textmining': ['bio/hg19_MAP2K1', 'bio/hg38_MAP2K1'], 'bio/DGA_DOID_8778_TMEM201_textmining': ['bio/hg19_TMEM201', 'bio/hg38_TMEM201'], 'bio/DGA_DOID_8778_DEFB134_textmining': ['bio/hg19_DEFB134', 'bio/hg38_DEFB134'], 'bio/DGA_DOID_8778_AACT_textmining': [], 'bio/DGA_DOID_8778_MYLK_textmining': ['bio/hg19_MYLK', 'bio/hg38_MYLK'], 'bio/DGA_DOID_8778_DSC2_textmining': ['bio/hg19_DSC2', 'bio/hg38_DSC2'], 'bio/DGA_DOID_8778_ALG10_textmining': ['bio/hg19_ALG10', 'bio/hg38_ALG10'], 'bio/DGA_DOID_8778_CDK5_textmining': ['bio/hg19_CDK5', 'bio/hg38_CDK5'], 'bio/DGA_DOID_8778_TEX9_experiments': ['bio/hg19_TEX9', 'bio/hg38_TEX9'], 'bio/DGA_DOID_8778_MMP24_textmining': ['bio/hg19_MMP24', 'bio/hg38_MMP24'], 'bio/DGA_DOID_8778_TRAF4_textmining': ['bio/hg19_TRAF4', 'bio/hg38_TRAF4'], 'bio/DGA_DOID_8778_EGR3_textmining': ['bio/hg19_EGR3', 'bio/hg38_EGR3'], 'bio/DGA_DOID_8778_IKZF3_textmining': ['bio/hg19_IKZF3', 'bio/hg38_IKZF3'], 'bio/DGA_DOID_8778_ALPP_textmining': ['bio/hg19_ALPP', 'bio/hg38_ALPP'], 'bio/DGA_DOID_8778_BACE1_textmining': ['bio/hg19_BACE1', 'bio/hg38_BACE1'], 'bio/DGA_DOID_8778_LIN9_textmining': ['bio/hg19_LIN9', 'bio/hg38_LIN9'], 'bio/DGA_DOID_8778_HMGCS2_textmining': ['bio/hg19_HMGCS2', 'bio/hg38_HMGCS2'], 'bio/DGA_DOID_8778_hsa-miR-148a-3p_textmining': [], 'bio/DGA_DOID_8778_PPIA_textmining': ['bio/hg19_PPIA', 'bio/hg38_PPIA'], 'bio/DGA_DOID_8778_ULBP3_textmining': ['bio/hg19_ULBP3', 'bio/hg38_ULBP3'], 'bio/DGA_DOID_8778_SERPINB6_textmining': ['bio/hg19_SERPINB6', 'bio/hg38_SERPINB6'], 'bio/DGA_DOID_8778_STX3_textmining': ['bio/hg19_STX3', 'bio/hg38_STX3'], 'bio/DGA_DOID_8778_MARVELD2_textmining': ['bio/hg19_MARVELD2', 'bio/hg38_MARVELD2'], 'bio/DGA_DOID_8778_TOP3A_textmining': ['bio/hg19_TOP3A', 'bio/hg38_TOP3A'], 'bio/DGA_DOID_8778_PLIN1_textmining': ['bio/hg19_PLIN1', 'bio/hg38_PLIN1'], 'bio/DGA_DOID_8778_IFITM3_textmining': ['bio/hg19_IFITM3', 'bio/hg38_IFITM3'], 'bio/DGA_DOID_8778_MTFMT_textmining': ['bio/hg19_MTFMT', 'bio/hg38_MTFMT'], 'bio/DGA_DOID_8778_FRZB_textmining': ['bio/hg19_FRZB', 'bio/hg38_FRZB'], 'bio/DGA_DOID_8778_ERAP2_textmining': ['bio/hg19_ERAP2', 'bio/hg38_ERAP2'], 'bio/DGA_DOID_8778_GSTA1_textmining': ['bio/hg19_GSTA1', 'bio/hg38_GSTA1'], 'bio/DGA_DOID_8778_STX7_textmining': ['bio/hg19_STX7', 'bio/hg38_STX7'], 'bio/DGA_DOID_8778_WFS1_textmining': ['bio/hg19_WFS1', 'bio/hg38_WFS1'], 'bio/DGA_DOID_8778_YWHAZ_experiments': ['bio/hg19_YWHAZ', 'bio/hg38_YWHAZ'], 'bio/DGA_DOID_8778_SEPHS1_textmining': ['bio/hg19_SEPHS1', 'bio/hg38_SEPHS1'], 'bio/DGA_DOID_8778_IQGAP2_textmining': ['bio/hg19_IQGAP2', 'bio/hg38_IQGAP2'], 'bio/DGA_DOID_8778_FAM189A1_textmining': ['bio/hg19_FAM189A1', 'bio/hg38_FAM189A1'], 'bio/DGA_DOID_8778_EHD1_textmining': ['bio/hg19_EHD1', 'bio/hg38_EHD1'], 'bio/DGA_DOID_8778_RPL32_textmining': ['bio/hg19_RPL32', 'bio/hg38_RPL32'], 'bio/DGA_DOID_8778_CD3E_textmining': ['bio/hg19_CD3E', 'bio/hg38_CD3E'], 'bio/DGA_DOID_8778_hsa-miR-320a_textmining': [], 'bio/DGA_DOID_8778_FAM167A_textmining': ['bio/hg19_FAM167A', 'bio/hg38_FAM167A'], 'bio/DGA_DOID_8778_LSM5_textmining': ['bio/hg19_LSM5', 'bio/hg38_LSM5'], 'bio/DGA_DOID_8778_CLK3_experiments': ['bio/hg19_CLK3', 'bio/hg38_CLK3'], 'bio/DGA_DOID_8778_PIDD1_textmining': ['bio/hg19_PIDD1', 'bio/hg38_PIDD1'], 'bio/DGA_DOID_8778_PTBP2_textmining': ['bio/hg19_PTBP2', 'bio/hg38_PTBP2'], 'bio/DGA_DOID_8778_OAS1_textmining': ['bio/hg19_OAS1', 'bio/hg38_OAS1'], 'bio/DGA_DOID_8778_WBP4_textmining': ['bio/hg19_WBP4', 'bio/hg38_WBP4'], 'bio/DGA_DOID_8778_IL18_textmining': ['bio/hg19_IL18', 'bio/hg38_IL18'], 'bio/DGA_DOID_8778_TRDN_textmining': ['bio/hg19_TRDN', 'bio/hg38_TRDN'], 'bio/DGA_DOID_8778_IFIH1_textmining': ['bio/hg19_IFIH1', 'bio/hg38_IFIH1'], 'bio/DGA_DOID_8778_SLCO2A1_textmining': ['bio/hg19_SLCO2A1', 'bio/hg38_SLCO2A1'], 'bio/DGA_DOID_8778_MORN2_textmining': ['bio/hg19_MORN2', 'bio/hg38_MORN2'], 'bio/DGA_DOID_8778_BCKDHA_textmining': ['bio/hg19_BCKDHA', 'bio/hg38_BCKDHA'], 'bio/DGA_DOID_8778_RAB4A_textmining': ['bio/hg19_RAB4A', 'bio/hg38_RAB4A'], 'bio/DGA_DOID_8778_ADIPOR1_textmining': ['bio/hg19_ADIPOR1', 'bio/hg38_ADIPOR1'], 'bio/DGA_DOID_8778_ITGA1_textmining': ['bio/hg19_ITGA1', 'bio/hg38_ITGA1'], 'bio/DGA_DOID_8778_SPIB_textmining': ['bio/hg19_SPIB', 'bio/hg38_SPIB'], 'bio/DGA_DOID_8778_FURIN_textmining': ['bio/hg19_FURIN', 'bio/hg38_FURIN'], 'bio/DGA_DOID_8778_NPFFR1_textmining': ['bio/hg19_NPFFR1', 'bio/hg38_NPFFR1'], 'bio/DGA_DOID_8778_THBD_textmining': ['bio/hg19_THBD', 'bio/hg38_THBD'], 'bio/DGA_DOID_8778_AKAP13_textmining': ['bio/hg19_AKAP13', 'bio/hg38_AKAP13'], 'bio/DGA_DOID_8778_SOD2_textmining': ['bio/hg19_SOD2', 'bio/hg38_SOD2'], 'bio/DGA_DOID_8778_WNT3A_textmining': ['bio/hg19_WNT3A', 'bio/hg38_WNT3A'], 'bio/DGA_DOID_8778_DR1_textmining': ['bio/hg19_DR1', 'bio/hg38_DR1'], 'bio/DGA_DOID_8778_LOX_textmining': ['bio/hg19_LOX', 'bio/hg38_LOX'], 'bio/DGA_DOID_8778_HCG9_textmining': ['bio/hg19_HCG9', 'bio/hg38_HCG9'], 'bio/DGA_DOID_8778_BMPR1A_textmining': ['bio/hg19_BMPR1A', 'bio/hg38_BMPR1A'], 'bio/DGA_DOID_8778_PARVB_textmining': ['bio/hg19_PARVB', 'bio/hg38_PARVB'], 'bio/DGA_DOID_8778_CCL18_textmining': ['bio/hg19_CCL18', 'bio/hg38_CCL18'], 'bio/DGA_DOID_8778_CARD9_experiments': ['bio/hg19_CARD9', 'bio/hg38_CARD9'], 'bio/DGA_DOID_8778_RHOA_textmining': ['bio/hg19_RHOA', 'bio/hg38_RHOA'], 'bio/DGA_DOID_8778_LNPEP_textmining': ['bio/hg19_LNPEP', 'bio/hg38_LNPEP'], 'bio/DGA_DOID_8778_ANXA3_textmining': ['bio/hg19_ANXA3', 'bio/hg38_ANXA3'], 'bio/DGA_DOID_8778_ENPP2_textmining': ['bio/hg19_ENPP2', 'bio/hg38_ENPP2'], 'bio/DGA_DOID_8778_TET2_experiments': ['bio/hg19_TET2', 'bio/hg38_TET2'], 'bio/DGA_DOID_8778_CHRNA4_textmining': ['bio/hg19_CHRNA4', 'bio/hg38_CHRNA4'], 'bio/DGA_DOID_8778_AP5B1_textmining': ['bio/hg19_AP5B1', 'bio/hg38_AP5B1'], 'bio/DGA_DOID_8778_IGFBP5_textmining': ['bio/hg19_IGFBP5', 'bio/hg38_IGFBP5'], 'bio/DGA_DOID_8778_ENO2_textmining': ['bio/hg19_ENO2', 'bio/hg38_ENO2'], 'bio/DGA_DOID_8778_ZGPAT_experiments': ['bio/hg19_ZGPAT', 'bio/hg38_ZGPAT'], 'bio/DGA_DOID_8778_TPM2_textmining': ['bio/hg19_TPM2', 'bio/hg38_TPM2'], 'bio/DGA_DOID_8778_CAT_textmining': ['bio/hg19_CAT', 'bio/hg38_CAT'], 'bio/DGA_DOID_8778_FAAH_textmining': ['bio/hg19_FAAH', 'bio/hg38_FAAH'], 'bio/DGA_DOID_8778_NEDD8_textmining': ['bio/hg19_NEDD8', 'bio/hg38_NEDD8'], 'bio/DGA_DOID_8778_MPP1_textmining': ['bio/hg19_MPP1', 'bio/hg38_MPP1'], 'bio/DGA_DOID_8778_FGR_textmining': ['bio/hg19_FGR', 'bio/hg38_FGR'], 'bio/DGA_DOID_8778_SIRT5_textmining': ['bio/hg19_SIRT5', 'bio/hg38_SIRT5'], 'bio/DGA_DOID_8778_IL9R_textmining': ['bio/hg19_IL9R', 'bio/hg38_IL9R'], 'bio/DGA_DOID_8778_MAGI2_textmining': ['bio/hg19_MAGI2', 'bio/hg38_MAGI2'], 'bio/DGA_DOID_8778_POU5F1_textmining': ['bio/hg19_POU5F1', 'bio/hg38_POU5F1'], 'bio/DGA_DOID_8778_HPS4_textmining': ['bio/hg19_HPS4', 'bio/hg38_HPS4'], 'bio/DGA_DOID_8778_GPI_textmining': ['bio/hg19_GPI', 'bio/hg38_GPI'], 'bio/DGA_DOID_8778_APOA4_textmining': ['bio/hg19_APOA4', 'bio/hg38_APOA4'], 'bio/DGA_DOID_8778_IKZF1_textmining': ['bio/hg19_IKZF1', 'bio/hg38_IKZF1'], 'bio/DGA_DOID_8778_PYY_textmining': ['bio/hg19_PYY', 'bio/hg38_PYY'], 'bio/DGA_DOID_8778_SNAPIN_textmining': 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'bio/hg38_ARSK'], 'bio/DGA_DOID_8778_MAP3K4_textmining': ['bio/hg19_MAP3K4', 'bio/hg38_MAP3K4'], 'bio/DGA_DOID_8778_NCOR2_textmining': ['bio/hg19_NCOR2', 'bio/hg38_NCOR2'], 'bio/DGA_DOID_8778_UBA7_textmining': ['bio/hg19_UBA7', 'bio/hg38_UBA7'], 'bio/DGA_DOID_8778_PHB_textmining': ['bio/hg19_PHB', 'bio/hg38_PHB'], 'bio/DGA_DOID_8778_BIN1_textmining': ['bio/hg19_BIN1', 'bio/hg38_BIN1'], 'bio/DGA_DOID_8778_CD226_textmining': ['bio/hg19_CD226', 'bio/hg38_CD226'], 'bio/DGA_DOID_8778_COG6_textmining': ['bio/hg19_COG6', 'bio/hg38_COG6'], 'bio/DGA_DOID_8778_MAPK3_textmining': ['bio/hg19_MAPK3', 'bio/hg38_MAPK3'], 'bio/DGA_DOID_8778_CLDN10_textmining': ['bio/hg19_CLDN10', 'bio/hg38_CLDN10'], 'bio/DGA_DOID_8778_ACTL9_textmining': ['bio/hg19_ACTL9', 'bio/hg38_ACTL9'], 'bio/DGA_DOID_8778_hsa-miR-1263_textmining': [], 'bio/DGA_DOID_8778_HLA-DMA_textmining': ['bio/hg19_HLA-DMA', 'bio/hg38_HLA-DMA'], 'bio/DGA_DOID_8778_WIF1_textmining': ['bio/hg19_WIF1', 'bio/hg38_WIF1'], 'bio/DGA_DOID_8778_PPP1R15A_textmining': ['bio/hg19_PPP1R15A', 'bio/hg38_PPP1R15A'], 'bio/DGA_DOID_8778_GAL_textmining': ['bio/hg19_GAL', 'bio/hg38_GAL'], 'bio/DGA_DOID_8778_PTGS2_textmining': ['bio/hg19_PTGS2', 'bio/hg38_PTGS2'], 'bio/DGA_DOID_8778_ELAVL1_textmining': ['bio/hg19_ELAVL1', 'bio/hg38_ELAVL1'], 'bio/DGA_DOID_8778_MICALL2_textmining': ['bio/hg19_MICALL2', 'bio/hg38_MICALL2'], 'bio/DGA_DOID_8778_GABBR2_textmining': ['bio/hg19_GABBR2', 'bio/hg38_GABBR2'], 'bio/DGA_DOID_8778_PHF11_textmining': ['bio/hg19_PHF11', 'bio/hg38_PHF11'], 'bio/DGA_DOID_8778_PTPN12_textmining': ['bio/hg19_PTPN12', 'bio/hg38_PTPN12'], 'bio/DGA_DOID_8778_LYST_textmining': ['bio/hg19_LYST', 'bio/hg38_LYST'], 'bio/DGA_DOID_8778_LYN_textmining': ['bio/hg19_LYN', 'bio/hg38_LYN'], 'bio/DGA_DOID_8778_SDHA_textmining': ['bio/hg19_SDHA', 'bio/hg38_SDHA'], 'bio/DGA_DOID_8778_TNFRSF1A_textmining': ['bio/hg19_TNFRSF1A', 'bio/hg38_TNFRSF1A'], 'bio/DGA_DOID_8778_HIST1H4D_textmining': ['bio/hg19_HIST1H4D', 'bio/hg38_HIST1H4D'], 'bio/DGA_DOID_8778_INSM2_textmining': ['bio/hg19_INSM2', 'bio/hg38_INSM2'], 'bio/DGA_DOID_8778_PVR_textmining': ['bio/hg19_PVR', 'bio/hg38_PVR'], 'bio/DGA_DOID_8778_FZD8_textmining': ['bio/hg19_FZD8', 'bio/hg38_FZD8'], 'bio/DGA_DOID_8778_GADD45B_textmining': ['bio/hg19_GADD45B', 'bio/hg38_GADD45B'], 'bio/DGA_DOID_8778_MT1HL1_textmining': ['bio/hg19_MT1HL1', 'bio/hg38_MT1HL1'], 'bio/DGA_DOID_8778_MIR17HG_textmining': ['bio/hg19_MIR17HG', 'bio/hg38_MIR17HG'], 'bio/DGA_DOID_8778_NAA25_textmining': ['bio/hg19_NAA25', 'bio/hg38_NAA25'], 'bio/DGA_DOID_8778_DSC3_textmining': ['bio/hg19_DSC3', 'bio/hg38_DSC3'], 'bio/DGA_DOID_8778_ZNF569_textmining': ['bio/hg19_ZNF569', 'bio/hg38_ZNF569'], 'bio/DGA_DOID_8778_SOCS6_textmining': ['bio/hg19_SOCS6', 'bio/hg38_SOCS6'], 'bio/DGA_DOID_8778_BAG4_textmining': ['bio/hg19_BAG4', 'bio/hg38_BAG4'], 'bio/DGA_DOID_8778_SPINK4_textmining': ['bio/hg19_SPINK4', 'bio/hg38_SPINK4'], 'bio/DGA_DOID_8778_GOT2_textmining': ['bio/hg19_GOT2', 'bio/hg38_GOT2'], 'bio/DGA_DOID_8778_ARSG_textmining': ['bio/hg19_ARSG', 'bio/hg38_ARSG'], 'bio/DGA_DOID_8778_CCL19_textmining': ['bio/hg19_CCL19', 'bio/hg38_CCL19'], 'bio/DGA_DOID_8778_CDIP1_textmining': ['bio/hg19_CDIP1', 'bio/hg38_CDIP1'], 'bio/DGA_DOID_8778_HCCS_textmining': ['bio/hg19_HCCS', 'bio/hg38_HCCS'], 'bio/DGA_DOID_8778_SOX10_textmining': ['bio/hg19_SOX10', 'bio/hg38_SOX10'], 'bio/DGA_DOID_8778_FOXA2_textmining': ['bio/hg19_FOXA2', 'bio/hg38_FOXA2'], 'bio/DGA_DOID_8778_ANTXR2_textmining': ['bio/hg19_ANTXR2', 'bio/hg38_ANTXR2'], 'bio/DGA_DOID_8778_RAB24_textmining': ['bio/hg19_RAB24', 'bio/hg38_RAB24'], 'bio/DGA_DOID_8778_YWHAZ_textmining': ['bio/hg19_YWHAZ', 'bio/hg38_YWHAZ'], 'bio/DGA_DOID_8778_ABO_textmining': ['bio/hg19_ABO', 'bio/hg38_ABO'], 'bio/DGA_DOID_8778_SGK1_textmining': ['bio/hg19_SGK1', 'bio/hg38_SGK1'], 'bio/DGA_DOID_8778_RNF151_textmining': ['bio/hg19_RNF151', 'bio/hg38_RNF151'], 'bio/DGA_DOID_8778_CCK_textmining': ['bio/hg19_CCK', 'bio/hg38_CCK'], 'bio/DGA_DOID_8778_ATG4A_textmining': ['bio/hg19_ATG4A', 'bio/hg38_ATG4A'], 'bio/DGA_DOID_8778_SPAG9_textmining': ['bio/hg19_SPAG9', 'bio/hg38_SPAG9'], 'bio/DGA_DOID_8778_LINC01272_textmining': [], 'bio/DGA_DOID_8778_BMP2_textmining': ['bio/hg19_BMP2', 'bio/hg38_BMP2'], 'bio/DGA_DOID_8778_IL1RAPL1_textmining': ['bio/hg19_IL1RAPL1', 'bio/hg38_IL1RAPL1'], 'bio/DGA_DOID_8778_SLC26A5_textmining': ['bio/hg19_SLC26A5', 'bio/hg38_SLC26A5'], 'bio/DGA_DOID_8778_hsa-miR-221-3p_textmining': [], 'bio/DGA_DOID_8778_KIR3DL1_textmining': ['bio/hg19_KIR3DL1', 'bio/hg38_KIR3DL1'], 'bio/DGA_DOID_8778_CYLD_textmining': ['bio/hg19_CYLD', 'bio/hg38_CYLD'], 'bio/DGA_DOID_8778_MITF_textmining': ['bio/hg19_MITF', 'bio/hg38_MITF'], 'bio/DGA_DOID_8778_IL12A_textmining': ['bio/hg19_IL12A', 'bio/hg38_IL12A'], 'bio/DGA_DOID_8778_SCN9A_textmining': ['bio/hg19_SCN9A', 'bio/hg38_SCN9A'], 'bio/DGA_DOID_8778_DOCK2_textmining': ['bio/hg19_DOCK2', 'bio/hg38_DOCK2'], 'bio/DGA_DOID_8778_HSP90AB1_textmining': ['bio/hg19_HSP90AB1', 'bio/hg38_HSP90AB1'], 'bio/DGA_DOID_8778_IL9_textmining': ['bio/hg19_IL9', 'bio/hg38_IL9'], 'bio/DGA_DOID_8778_CTSG_textmining': ['bio/hg19_CTSG', 'bio/hg38_CTSG'], 'bio/DGA_DOID_8778_MAP1A_textmining': ['bio/hg19_MAP1A', 'bio/hg38_MAP1A'], 'bio/DGA_DOID_8778_ITGAL_textmining': ['bio/hg19_ITGAL', 'bio/hg38_ITGAL'], 'bio/DGA_DOID_8778_SUCLA2_textmining': ['bio/hg19_SUCLA2', 'bio/hg38_SUCLA2'], 'bio/DGA_DOID_8778_IL6R_textmining': ['bio/hg19_IL6R', 'bio/hg38_IL6R'], 'bio/DGA_DOID_8778_DHX58_textmining': ['bio/hg19_DHX58', 'bio/hg38_DHX58'], 'bio/DGA_DOID_8778_GPR55_textmining': ['bio/hg19_GPR55', 'bio/hg38_GPR55'], 'bio/DGA_DOID_8778_RARRES2_textmining': ['bio/hg19_RARRES2', 'bio/hg38_RARRES2'], 'bio/DGA_DOID_8778_TCF21_textmining': ['bio/hg19_TCF21', 'bio/hg38_TCF21'], 'bio/DGA_DOID_8778_HSPG2_textmining': ['bio/hg19_HSPG2', 'bio/hg38_HSPG2'], 'bio/DGA_DOID_8778_ANKRD27_textmining': ['bio/hg19_ANKRD27', 'bio/hg38_ANKRD27'], 'bio/DGA_DOID_8778_NAIP_textmining': ['bio/hg19_NAIP', 'bio/hg38_NAIP'], 'bio/DGA_DOID_8778_TPO_textmining': ['bio/hg19_TPO', 'bio/hg38_TPO'], 'bio/DGA_DOID_8778_VKORC1_textmining': ['bio/hg19_VKORC1', 'bio/hg38_VKORC1'], 'bio/DGA_DOID_8778_RNASE7_textmining': ['bio/hg19_RNASE7', 'bio/hg38_RNASE7'], 'bio/DGA_DOID_8778_IDS_textmining': ['bio/hg19_IDS', 'bio/hg38_IDS'], 'bio/DGA_DOID_8778_IGF2R_textmining': ['bio/hg19_IGF2R', 'bio/hg38_IGF2R'], 'bio/DGA_DOID_8778_TYR_textmining': ['bio/hg19_TYR', 'bio/hg38_TYR'], 'bio/DGA_DOID_8778_RNASE2_textmining': ['bio/hg19_RNASE2', 'bio/hg38_RNASE2'], 'bio/DGA_DOID_8778_ADRBK2_textmining': ['bio/hg19_ADRBK2'], 'bio/DGA_DOID_8778_CYP26C1_textmining': ['bio/hg19_CYP26C1', 'bio/hg38_CYP26C1'], 'bio/DGA_DOID_8778_LCE3B_textmining': ['bio/hg19_LCE3B', 'bio/hg38_LCE3B'], 'bio/DGA_DOID_8778_GSR_textmining': ['bio/hg19_GSR', 'bio/hg38_GSR'], 'bio/DGA_DOID_8778_CSNK2A2_textmining': ['bio/hg19_CSNK2A2', 'bio/hg38_CSNK2A2'], 'bio/DGA_DOID_8778_ABHD16B_textmining': ['bio/hg19_ABHD16B', 'bio/hg38_ABHD16B'], 'bio/DGA_DOID_8778_CD58_textmining': ['bio/hg19_CD58', 'bio/hg38_CD58'], 'bio/DGA_DOID_8778_SHARPIN_textmining': ['bio/hg19_SHARPIN', 'bio/hg38_SHARPIN'], 'bio/DGA_DOID_8778_IRF8_textmining': ['bio/hg19_IRF8', 'bio/hg38_IRF8'], 'bio/DGA_DOID_8778_FASTK_textmining': ['bio/hg19_FASTK', 'bio/hg38_FASTK'], 'bio/DGA_DOID_8778_EEF1A2_textmining': ['bio/hg19_EEF1A2', 'bio/hg38_EEF1A2'], 'bio/DGA_DOID_8778_RPS6KA1_textmining': ['bio/hg19_RPS6KA1', 'bio/hg38_RPS6KA1'], 'bio/DGA_DOID_8778_PROS1_textmining': ['bio/hg19_PROS1', 'bio/hg38_PROS1'], 'bio/DGA_DOID_8778_CYBB_textmining': ['bio/hg19_CYBB', 'bio/hg38_CYBB'], 'bio/DGA_DOID_8778_HIST1H4A_textmining': ['bio/hg19_HIST1H4A', 'bio/hg38_HIST1H4A'], 'bio/DGA_DOID_8778_TNS1_textmining': ['bio/hg19_TNS1', 'bio/hg38_TNS1'], 'bio/DGA_DOID_8778_LRP2_textmining': ['bio/hg19_LRP2', 'bio/hg38_LRP2'], 'bio/DGA_DOID_8778_SLC22A23_experiments': ['bio/hg19_SLC22A23', 'bio/hg38_SLC22A23'], 'bio/DGA_DOID_8778_PINK1_textmining': 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'bio/DGA_DOID_8778_PARD3_textmining': ['bio/hg19_PARD3', 'bio/hg38_PARD3'], 'bio/DGA_DOID_8778_CFD_textmining': ['bio/hg19_CFD', 'bio/hg38_CFD'], 'bio/DGA_DOID_8778_POMC_textmining': ['bio/hg19_POMC', 'bio/hg38_POMC'], 'bio/DGA_DOID_8778_EGLN1_textmining': ['bio/hg19_EGLN1', 'bio/hg38_EGLN1'], 'bio/DGA_DOID_8778_GJA1_textmining': ['bio/hg19_GJA1', 'bio/hg38_GJA1'], 'bio/DGA_DOID_8778_NRG1_textmining': ['bio/hg19_NRG1', 'bio/hg38_NRG1'], 'bio/DGA_DOID_8778_A1BG_textmining': ['bio/hg19_A1BG', 'bio/hg38_A1BG'], 'bio/DGA_DOID_8778_LY75_textmining': ['bio/hg19_LY75', 'bio/hg38_LY75'], 'bio/DGA_DOID_8778_GBP1_textmining': ['bio/hg19_GBP1', 'bio/hg38_GBP1'], 'bio/DGA_DOID_8778_TMEM59_textmining': ['bio/hg19_TMEM59', 'bio/hg38_TMEM59'], 'bio/DGA_DOID_8778_MAOA_textmining': ['bio/hg19_MAOA', 'bio/hg38_MAOA'], 'bio/DGA_DOID_8778_hsa-miR-224-5p_textmining': [], 'bio/DGA_DOID_8778_TCHH_textmining': ['bio/hg19_TCHH', 'bio/hg38_TCHH'], 'bio/DGA_DOID_8778_TUFM_textmining': ['bio/hg19_TUFM', 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'bio/DGA_DOID_8778_CCR4_textmining': ['bio/hg19_CCR4', 'bio/hg38_CCR4'], 'bio/DGA_DOID_8778_CLEC12A_textmining': ['bio/hg19_CLEC12A', 'bio/hg38_CLEC12A'], 'bio/DGA_DOID_8778_HK1_textmining': ['bio/hg19_HK1', 'bio/hg38_HK1'], 'bio/DGA_DOID_8778_PGM2L1_textmining': ['bio/hg19_PGM2L1', 'bio/hg38_PGM2L1'], 'bio/DGA_DOID_8778_MYOM2_textmining': ['bio/hg19_MYOM2', 'bio/hg38_MYOM2'], 'bio/DGA_DOID_8778_hsa-miR-499a-5p_textmining': [], 'bio/DGA_DOID_8778_PIAS3_textmining': ['bio/hg19_PIAS3', 'bio/hg38_PIAS3'], 'bio/DGA_DOID_8778_RBP4_textmining': ['bio/hg19_RBP4', 'bio/hg38_RBP4'], 'bio/DGA_DOID_8778_FCHSD2_experiments': ['bio/hg19_FCHSD2', 'bio/hg38_FCHSD2'], 'bio/DGA_DOID_8778_TCN2_textmining': ['bio/hg19_TCN2', 'bio/hg38_TCN2'], 'bio/DGA_DOID_8778_PTGS1_textmining': ['bio/hg19_PTGS1', 'bio/hg38_PTGS1'], 'bio/DGA_DOID_8778_SLC4A8_textmining': ['bio/hg19_SLC4A8', 'bio/hg38_SLC4A8'], 'bio/DGA_DOID_8778_SLC22A4_textmining': ['bio/hg19_SLC22A4', 'bio/hg38_SLC22A4'], 'bio/DGA_DOID_8778_C1orf141_experiments': ['bio/hg19_C1orf141', 'bio/hg38_C1orf141'], 'bio/DGA_DOID_8778_PYDC2_textmining': ['bio/hg19_PYDC2', 'bio/hg38_PYDC2'], 'bio/DGA_DOID_8778_MAEA_textmining': ['bio/hg19_MAEA', 'bio/hg38_MAEA'], 'bio/DGA_DOID_8778_AR_textmining': ['bio/hg19_AR', 'bio/hg38_AR'], 'bio/DGA_DOID_8778_KLRC1_textmining': ['bio/hg19_KLRC1', 'bio/hg38_KLRC1'], 'bio/DGA_DOID_8778_ESR2_textmining': ['bio/hg19_ESR2', 'bio/hg38_ESR2'], 'bio/DGA_DOID_8778_TYRP1_textmining': ['bio/hg19_TYRP1', 'bio/hg38_TYRP1'], 'bio/DGA_DOID_8778_SP100_textmining': ['bio/hg19_SP100', 'bio/hg38_SP100'], 'bio/DGA_DOID_8778_LILRB1_textmining': ['bio/hg19_LILRB1', 'bio/hg38_LILRB1'], 'bio/DGA_DOID_8778_ENSP00000459962_textmining': [], 'bio/DGA_DOID_8778_IL10RA_textmining': ['bio/hg19_IL10RA', 'bio/hg38_IL10RA'], 'bio/DGA_DOID_8778_TOP2A_textmining': ['bio/hg19_TOP2A', 'bio/hg38_TOP2A'], 'bio/DGA_DOID_8778_hsa-miR-615-3p_textmining': [], 'bio/DGA_DOID_8778_BATF_experiments': ['bio/hg19_BATF', 'bio/hg38_BATF'], 'bio/DGA_DOID_8778_LSM4_experiments': ['bio/hg19_LSM4', 'bio/hg38_LSM4'], 'bio/DGA_DOID_8778_ZBP1_textmining': ['bio/hg19_ZBP1', 'bio/hg38_ZBP1'], 'bio/DGA_DOID_8778_IL4_textmining': ['bio/hg19_IL4', 'bio/hg38_IL4'], 'bio/DGA_DOID_8778_THRIL_textmining': ['bio/hg19_THRIL', 'bio/hg38_THRIL'], 'bio/DGA_DOID_8778_MYH11_textmining': ['bio/hg19_MYH11', 'bio/hg38_MYH11'], 'bio/DGA_DOID_8778_ABCC3_textmining': ['bio/hg19_ABCC3', 'bio/hg38_ABCC3'], 'bio/DGA_DOID_8778_SLC6A4_textmining': ['bio/hg19_SLC6A4', 'bio/hg38_SLC6A4'], 'bio/DGA_DOID_8778_OVOL1_textmining': ['bio/hg19_OVOL1', 'bio/hg38_OVOL1'], 'bio/DGA_DOID_8778_WAS_textmining': ['bio/hg19_WAS', 'bio/hg38_WAS'], 'bio/DGA_DOID_8778_PIGA_textmining': ['bio/hg19_PIGA', 'bio/hg38_PIGA'], 'bio/DGA_DOID_8778_RAC2_textmining': ['bio/hg19_RAC2', 'bio/hg38_RAC2'], 'bio/DGA_DOID_8778_COL6A5_textmining': ['bio/hg19_COL6A5', 'bio/hg38_COL6A5'], 'bio/DGA_DOID_8778_APOC3_textmining': ['bio/hg19_APOC3', 'bio/hg38_APOC3'], 'bio/DGA_DOID_8778_hsa-miR-4433-3p_textmining': [], 'bio/DGA_DOID_8778_CLDN12_textmining': ['bio/hg19_CLDN12', 'bio/hg38_CLDN12'], 'bio/DGA_DOID_8778_CPN1_textmining': ['bio/hg19_CPN1', 'bio/hg38_CPN1'], 'bio/DGA_DOID_8778_hsa-miR-30a-5p_textmining': [], 'bio/DGA_DOID_8778_ATG4C_textmining': ['bio/hg19_ATG4C', 'bio/hg38_ATG4C'], 'bio/DGA_DOID_8778_KIAA1109_textmining': ['bio/hg19_KIAA1109', 'bio/hg38_KIAA1109'], 'bio/DGA_DOID_8778_CHRM3_textmining': ['bio/hg19_CHRM3', 'bio/hg38_CHRM3'], 'bio/DGA_DOID_8778_SLC23A1_textmining': ['bio/hg19_SLC23A1', 'bio/hg38_SLC23A1'], 'bio/DGA_DOID_8778_HSPA6_textmining': ['bio/hg19_HSPA6', 'bio/hg38_HSPA6'], 'bio/DGA_DOID_8778_HTRA2_textmining': ['bio/hg19_HTRA2', 'bio/hg38_HTRA2'], 'bio/DGA_DOID_8778_TCERG1L_textmining': ['bio/hg19_TCERG1L', 'bio/hg38_TCERG1L'], 'bio/DGA_DOID_8778_ARRB2_textmining': ['bio/hg19_ARRB2', 'bio/hg38_ARRB2'], 'bio/DGA_DOID_8778_MT1A_textmining': ['bio/hg19_MT1A', 'bio/hg38_MT1A'], 'bio/DGA_DOID_8778_IL10_knowledge': ['bio/hg19_IL10', 'bio/hg38_IL10'], 'bio/DGA_DOID_8778_SFRP5_textmining': ['bio/hg19_SFRP5', 'bio/hg38_SFRP5'], 'bio/DGA_DOID_8778_ELAVL3_textmining': ['bio/hg19_ELAVL3', 'bio/hg38_ELAVL3'], 'bio/DGA_DOID_8778_FAM213B_textmining': ['bio/hg19_FAM213B'], 'bio/DGA_DOID_8778_FABP5_textmining': ['bio/hg19_FABP5', 'bio/hg38_FABP5'], 'bio/DGA_DOID_8778_TOX_textmining': ['bio/hg19_TOX', 'bio/hg38_TOX'], 'bio/DGA_DOID_8778_IRF1_experiments': ['bio/hg19_IRF1', 'bio/hg38_IRF1'], 'bio/DGA_DOID_8778_IL33_textmining': ['bio/hg19_IL33', 'bio/hg38_IL33'], 'bio/DGA_DOID_8778_C7orf72_experiments': ['bio/hg19_C7orf72'], 'bio/DGA_DOID_8778_VDAC1_textmining': ['bio/hg19_VDAC1', 'bio/hg38_VDAC1'], 'bio/DGA_DOID_8778_NFKBIL1_textmining': ['bio/hg19_NFKBIL1', 'bio/hg38_NFKBIL1'], 'bio/DGA_DOID_8778_BAZ2B_textmining': ['bio/hg19_BAZ2B', 'bio/hg38_BAZ2B'], 'bio/DGA_DOID_8778_RRM1_textmining': ['bio/hg19_RRM1', 'bio/hg38_RRM1'], 'bio/DGA_DOID_8778_hsa-miR-192-5p_textmining': [], 'bio/DGA_DOID_8778_PPP1R14A_textmining': ['bio/hg19_PPP1R14A', 'bio/hg38_PPP1R14A'], 'bio/DGA_DOID_8778_TNFRSF11A_textmining': ['bio/hg19_TNFRSF11A', 'bio/hg38_TNFRSF11A'], 'bio/DGA_DOID_8778_CREB3L1_textmining': ['bio/hg19_CREB3L1', 'bio/hg38_CREB3L1'], 'bio/DGA_DOID_8778_NPIPB9_textmining': ['bio/hg19_NPIPB9', 'bio/hg38_NPIPB9'], 'bio/DGA_DOID_8778_FABP6_textmining': ['bio/hg19_FABP6', 'bio/hg38_FABP6'], 'bio/DGA_DOID_8778_SLC5A8_textmining': ['bio/hg19_SLC5A8', 'bio/hg38_SLC5A8'], 'bio/DGA_DOID_8778_SPRR2A_textmining': ['bio/hg19_SPRR2A', 'bio/hg38_SPRR2A'], 'bio/DGA_DOID_8778_CGB7_textmining': ['bio/hg19_CGB7', 'bio/hg38_CGB7'], 'bio/DGA_DOID_8778_BRCA2_textmining': ['bio/hg19_BRCA2', 'bio/hg38_BRCA2'], 'bio/DGA_DOID_8778_SEMA4F_textmining': ['bio/hg19_SEMA4F', 'bio/hg38_SEMA4F'], 'bio/DGA_DOID_8778_ACAN_textmining': ['bio/hg19_ACAN', 'bio/hg38_ACAN'], 'bio/DGA_DOID_8778_IGFBP1_textmining': ['bio/hg19_IGFBP1', 'bio/hg38_IGFBP1'], 'bio/DGA_DOID_8778_SLC24A5_textmining': ['bio/hg19_SLC24A5', 'bio/hg38_SLC24A5'], 'bio/DGA_DOID_8778_COL3A1_textmining': ['bio/hg19_COL3A1', 'bio/hg38_COL3A1'], 'bio/DGA_DOID_8778_RNF135_textmining': ['bio/hg19_RNF135', 'bio/hg38_RNF135'], 'bio/DGA_DOID_8778_ENTPD1_textmining': ['bio/hg19_ENTPD1', 'bio/hg38_ENTPD1'], 'bio/DGA_DOID_8778_BTNL3_textmining': ['bio/hg19_BTNL3', 'bio/hg38_BTNL3'], 'bio/DGA_DOID_8778_ATG16L1_experiments': ['bio/hg19_ATG16L1', 'bio/hg38_ATG16L1'], 'bio/DGA_DOID_8778_hsa-miR-665_textmining': [], 'bio/DGA_DOID_8778_SLPI_textmining': ['bio/hg19_SLPI', 'bio/hg38_SLPI'], 'bio/DGA_DOID_8778_HCST_textmining': ['bio/hg19_HCST', 'bio/hg38_HCST'], 'bio/DGA_DOID_8778_CSF1_textmining': ['bio/hg19_CSF1', 'bio/hg38_CSF1'], 'bio/DGA_DOID_8778_ILK_textmining': ['bio/hg19_ILK', 'bio/hg38_ILK'], 'bio/DGA_DOID_8778_IFIT2_textmining': ['bio/hg19_IFIT2', 'bio/hg38_IFIT2'], 'bio/DGA_DOID_8778_FYN_textmining': ['bio/hg19_FYN', 'bio/hg38_FYN'], 'bio/DGA_DOID_8778_INPP5D_textmining': ['bio/hg19_INPP5D', 'bio/hg38_INPP5D'], 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'bio/DGA_DOID_8778_TRIM25_textmining': ['bio/hg19_TRIM25', 'bio/hg38_TRIM25'], 'bio/DGA_DOID_8778_AMELX_textmining': ['bio/hg19_AMELX', 'bio/hg38_AMELX'], 'bio/DGA_DOID_8778_CDKN2B-AS1_textmining': ['bio/hg19_CDKN2B-AS1', 'bio/hg38_CDKN2B-AS1'], 'bio/DGA_DOID_8778_SEMA4D_textmining': ['bio/hg19_SEMA4D', 'bio/hg38_SEMA4D'], 'bio/DGA_DOID_8778_FFAR1_textmining': ['bio/hg19_FFAR1', 'bio/hg38_FFAR1'], 'bio/DGA_DOID_8778_HIST1H4K_textmining': ['bio/hg19_HIST1H4K', 'bio/hg38_HIST1H4K'], 'bio/DGA_DOID_8778_NFKB1_experiments': ['bio/hg19_NFKB1', 'bio/hg38_NFKB1'], 'bio/DGA_DOID_8778_TBK1_textmining': ['bio/hg19_TBK1', 'bio/hg38_TBK1'], 'bio/DGA_DOID_8778_RAET1E_textmining': ['bio/hg19_RAET1E', 'bio/hg38_RAET1E'], 'bio/DGA_DOID_8778_SLC28A3_textmining': ['bio/hg19_SLC28A3', 'bio/hg38_SLC28A3'], 'bio/DGA_DOID_8778_RNF166_textmining': ['bio/hg19_RNF166', 'bio/hg38_RNF166'], 'bio/DGA_DOID_8778_DUSP6_textmining': ['bio/hg19_DUSP6', 'bio/hg38_DUSP6'], 'bio/DGA_DOID_8778_DRD3_textmining': 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'bio/DGA_DOID_8778_PNMA1_textmining': ['bio/hg19_PNMA1', 'bio/hg38_PNMA1'], 'bio/DGA_DOID_8778_CYP11B1_textmining': ['bio/hg19_CYP11B1', 'bio/hg38_CYP11B1'], 'bio/DGA_DOID_8778_MAPK14_textmining': ['bio/hg19_MAPK14', 'bio/hg38_MAPK14'], 'bio/DGA_DOID_8778_CEACAM1_textmining': ['bio/hg19_CEACAM1', 'bio/hg38_CEACAM1'], 'bio/DGA_DOID_8778_SLC22A4_experiments': ['bio/hg19_SLC22A4', 'bio/hg38_SLC22A4'], 'bio/DGA_DOID_8778_TIGIT_textmining': ['bio/hg19_TIGIT', 'bio/hg38_TIGIT'], 'bio/DGA_DOID_8778_SAGE1_textmining': ['bio/hg19_SAGE1', 'bio/hg38_SAGE1'], 'bio/DGA_DOID_8778_SLC38A5_textmining': ['bio/hg19_SLC38A5', 'bio/hg38_SLC38A5'], 'bio/DGA_DOID_8778_FAP_textmining': ['bio/hg19_FAP', 'bio/hg38_FAP'], 'bio/DGA_DOID_8778_CD226_experiments': ['bio/hg19_CD226', 'bio/hg38_CD226'], 'bio/DGA_DOID_8778_GPX4_textmining': ['bio/hg19_GPX4', 'bio/hg38_GPX4'], 'bio/DGA_DOID_8778_ATG10_textmining': ['bio/hg19_ATG10', 'bio/hg38_ATG10'], 'bio/DGA_DOID_8778_CD33_textmining': ['bio/hg19_CD33', 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'bio/DGA_DOID_8778_TTC4_textmining': ['bio/hg19_TTC4', 'bio/hg38_TTC4'], 'bio/DGA_DOID_8778_IL11_textmining': ['bio/hg19_IL11', 'bio/hg38_IL11'], 'bio/DGA_DOID_8778_HTR3E_textmining': ['bio/hg19_HTR3E', 'bio/hg38_HTR3E'], 'bio/DGA_DOID_8778_RNF216_textmining': ['bio/hg19_RNF216', 'bio/hg38_RNF216'], 'bio/DGA_DOID_8778_PGLYRP4_textmining': ['bio/hg19_PGLYRP4', 'bio/hg38_PGLYRP4'], 'bio/DGA_DOID_8778_ZFP36L1_textmining': ['bio/hg19_ZFP36L1', 'bio/hg38_ZFP36L1'], 'bio/DGA_DOID_8778_TJP1_textmining': ['bio/hg19_TJP1', 'bio/hg38_TJP1'], 'bio/DGA_DOID_8778_TGFB1_textmining': ['bio/hg19_TGFB1', 'bio/hg38_TGFB1'], 'bio/DGA_DOID_8778_YBX1_textmining': ['bio/hg19_YBX1', 'bio/hg38_YBX1'], 'bio/DGA_DOID_8778_FOXD3_textmining': ['bio/hg19_FOXD3', 'bio/hg38_FOXD3'], 'bio/DGA_DOID_8778_DKK1_textmining': ['bio/hg19_DKK1', 'bio/hg38_DKK1'], 'bio/DGA_DOID_8778_ADRBK1_textmining': ['bio/hg19_ADRBK1'], 'bio/DGA_DOID_8778_MAATS1_textmining': ['bio/hg19_MAATS1', 'bio/hg38_MAATS1'], 'bio/DGA_DOID_8778_CLEC4C_textmining': ['bio/hg19_CLEC4C', 'bio/hg38_CLEC4C'], 'bio/DGA_DOID_8778_IL23R_experiments': ['bio/hg19_IL23R', 'bio/hg38_IL23R'], 'bio/DGA_DOID_8778_PPP5C_experiments': ['bio/hg19_PPP5C', 'bio/hg38_PPP5C'], 'bio/DGA_DOID_8778_MOG_textmining': ['bio/hg19_MOG', 'bio/hg38_MOG'], 'bio/DGA_DOID_8778_FNBP1L_textmining': ['bio/hg19_FNBP1L', 'bio/hg38_FNBP1L'], 'bio/DGA_DOID_8778_SLC35D1_experiments': ['bio/hg19_SLC35D1', 'bio/hg38_SLC35D1'], 'bio/DGA_DOID_8778_MMP10_textmining': ['bio/hg19_MMP10', 'bio/hg38_MMP10'], 'bio/DGA_DOID_8778_LGALS1_textmining': ['bio/hg19_LGALS1', 'bio/hg38_LGALS1'], 'bio/DGA_DOID_8778_PLCB2_textmining': ['bio/hg19_PLCB2', 'bio/hg38_PLCB2'], 'bio/DGA_DOID_8778_IPMK_textmining': ['bio/hg19_IPMK', 'bio/hg38_IPMK'], 'bio/DGA_DOID_8778_hsa-let-7b-5p_textmining': [], 'bio/DGA_DOID_8778_GUCY2C_textmining': ['bio/hg19_GUCY2C', 'bio/hg38_GUCY2C'], 'bio/DGA_DOID_8778_SUMO4_textmining': ['bio/hg19_SUMO4', 'bio/hg38_SUMO4'], 'bio/DGA_DOID_8778_PBOV1_textmining': ['bio/hg19_PBOV1', 'bio/hg38_PBOV1'], 'bio/DGA_DOID_8778_RAB11A_textmining': ['bio/hg19_RAB11A', 'bio/hg38_RAB11A'], 'bio/DGA_DOID_8778_INPPL1_textmining': ['bio/hg19_INPPL1', 'bio/hg38_INPPL1'], 'bio/DGA_DOID_8778_NTRK1_textmining': ['bio/hg19_NTRK1', 'bio/hg38_NTRK1'], 'bio/DGA_DOID_8778_FANCC_textmining': ['bio/hg19_FANCC', 'bio/hg38_FANCC'], 'bio/DGA_DOID_8778_ITGA2B_textmining': ['bio/hg19_ITGA2B', 'bio/hg38_ITGA2B'], 'bio/DGA_DOID_8778_hsa-miR-141-3p_textmining': [], 'bio/DGA_DOID_8778_TXNL4A_experiments': ['bio/hg19_TXNL4A', 'bio/hg38_TXNL4A'], 'bio/DGA_DOID_8778_NOS1_textmining': ['bio/hg19_NOS1', 'bio/hg38_NOS1'], 'bio/DGA_DOID_8778_PLA2G2A_textmining': ['bio/hg19_PLA2G2A', 'bio/hg38_PLA2G2A'], 'bio/DGA_DOID_8778_CXCL14_textmining': ['bio/hg19_CXCL14', 'bio/hg38_CXCL14'], 'bio/DGA_DOID_8778_RPS3A_textmining': ['bio/hg19_RPS3A', 'bio/hg38_RPS3A'], 'bio/DGA_DOID_8778_PRDX5_experiments': ['bio/hg19_PRDX5', 'bio/hg38_PRDX5'], 'bio/DGA_DOID_8778_IRGM_experiments': ['bio/hg19_IRGM', 'bio/hg38_IRGM'], 'bio/DGA_DOID_8778_AQP5_textmining': ['bio/hg19_AQP5', 'bio/hg38_AQP5'], 'bio/DGA_DOID_8778_SHISA4_textmining': ['bio/hg19_SHISA4', 'bio/hg38_SHISA4'], 'bio/DGA_DOID_8778_ABRACL_textmining': ['bio/hg19_ABRACL', 'bio/hg38_ABRACL'], 'bio/DGA_DOID_8778_CISD1_textmining': ['bio/hg19_CISD1', 'bio/hg38_CISD1'], 'bio/DGA_DOID_8778_HSPA1B_textmining': ['bio/hg19_HSPA1B', 'bio/hg38_HSPA1B'], 'bio/DGA_DOID_8778_CLEC1A_textmining': ['bio/hg19_CLEC1A', 'bio/hg38_CLEC1A'], 'bio/DGA_DOID_8778_TNFRSF12A_textmining': ['bio/hg19_TNFRSF12A', 'bio/hg38_TNFRSF12A'], 'bio/DGA_DOID_8778_CD28_textmining': ['bio/hg19_CD28', 'bio/hg38_CD28'], 'bio/DGA_DOID_8778_SNORA26_textmining': ['bio/hg19_SNORA26', 'bio/hg38_SNORA26'], 'bio/DGA_DOID_8778_PDE4D_textmining': ['bio/hg19_PDE4D', 'bio/hg38_PDE4D'], 'bio/DGA_DOID_8778_MTHFR_textmining': ['bio/hg19_MTHFR', 'bio/hg38_MTHFR'], 'bio/DGA_DOID_8778_RHOG_textmining': ['bio/hg19_RHOG', 'bio/hg38_RHOG'], 'bio/DGA_DOID_8778_NTF4_textmining': ['bio/hg19_NTF4', 'bio/hg38_NTF4'], 'bio/DGA_DOID_8778_SULT1A1_textmining': ['bio/hg19_SULT1A1', 'bio/hg38_SULT1A1'], 'bio/DGA_DOID_8778_HMOX2_textmining': ['bio/hg19_HMOX2', 'bio/hg38_HMOX2'], 'bio/DGA_DOID_8778_NDUFA5_textmining': ['bio/hg19_NDUFA5', 'bio/hg38_NDUFA5'], 'bio/DGA_DOID_8778_ENTPD8_textmining': ['bio/hg19_ENTPD8', 'bio/hg38_ENTPD8'], 'bio/DGA_DOID_8778_CTIF_experiments': ['bio/hg19_CTIF', 'bio/hg38_CTIF'], 'bio/DGA_DOID_8778_EPCAM_textmining': ['bio/hg19_EPCAM', 'bio/hg38_EPCAM'], 'bio/DGA_DOID_8778_THY1_textmining': ['bio/hg19_THY1', 'bio/hg38_THY1'], 'bio/DGA_DOID_8778_ETV5_textmining': ['bio/hg19_ETV5', 'bio/hg38_ETV5'], 'bio/DGA_DOID_8778_ADCYAP1R1_textmining': ['bio/hg19_ADCYAP1R1', 'bio/hg38_ADCYAP1R1'], 'bio/DGA_DOID_8778_ANGPT1_textmining': ['bio/hg19_ANGPT1', 'bio/hg38_ANGPT1'], 'bio/DGA_DOID_8778_ZNF804A_textmining': ['bio/hg19_ZNF804A', 'bio/hg38_ZNF804A'], 'bio/DGA_DOID_8778_PDGFRB_textmining': 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'bio/DGA_DOID_8778_SLC2A4RG_textmining': ['bio/hg19_SLC2A4RG', 'bio/hg38_SLC2A4RG'], 'bio/DGA_DOID_8778_SFRP1_textmining': ['bio/hg19_SFRP1', 'bio/hg38_SFRP1'], 'bio/DGA_DOID_8778_UNC13D_textmining': ['bio/hg19_UNC13D', 'bio/hg38_UNC13D'], 'bio/DGA_DOID_8778_KSR1_experiments': ['bio/hg19_KSR1', 'bio/hg38_KSR1'], 'bio/DGA_DOID_8778_CHGA_textmining': ['bio/hg19_CHGA', 'bio/hg38_CHGA'], 'bio/DGA_DOID_8778_DEFB107B_textmining': ['bio/hg19_DEFB107B', 'bio/hg38_DEFB107B'], 'bio/DGA_DOID_8778_CYP1A1_textmining': ['bio/hg19_CYP1A1', 'bio/hg38_CYP1A1'], 'bio/DGA_DOID_8778_PDGFRA_textmining': ['bio/hg19_PDGFRA', 'bio/hg38_PDGFRA'], 'bio/DGA_DOID_8778_PXK_textmining': ['bio/hg19_PXK', 'bio/hg38_PXK'], 'bio/DGA_DOID_8778_SUCO_textmining': ['bio/hg19_SUCO', 'bio/hg38_SUCO'], 'bio/DGA_DOID_8778_MAZ_textmining': ['bio/hg19_MAZ', 'bio/hg38_MAZ'], 'bio/DGA_DOID_8778_IL18BP_textmining': ['bio/hg19_IL18BP', 'bio/hg38_IL18BP'], 'bio/DGA_DOID_8778_LPIN2_textmining': ['bio/hg19_LPIN2', 'bio/hg38_LPIN2'], 'bio/DGA_DOID_8778_SCN10A_textmining': ['bio/hg19_SCN10A', 'bio/hg38_SCN10A'], 'bio/DGA_DOID_8778_SCUBE3_textmining': ['bio/hg19_SCUBE3', 'bio/hg38_SCUBE3'], 'bio/DGA_DOID_8778_MST1_experiments': ['bio/hg19_MST1', 'bio/hg38_MST1'], 'bio/DGA_DOID_8778_GNA12_experiments': ['bio/hg19_GNA12', 'bio/hg38_GNA12'], 'bio/DGA_DOID_8778_REG3A_textmining': ['bio/hg19_REG3A', 'bio/hg38_REG3A'], 'bio/DGA_DOID_8778_TGFB2_textmining': ['bio/hg19_TGFB2', 'bio/hg38_TGFB2'], 'bio/DGA_DOID_8778_VASP_textmining': ['bio/hg19_VASP', 'bio/hg38_VASP'], 'bio/DGA_DOID_8778_ANXA6_textmining': ['bio/hg19_ANXA6', 'bio/hg38_ANXA6'], 'bio/DGA_DOID_8778_LACC1_textmining': ['bio/hg19_LACC1', 'bio/hg38_LACC1'], 'bio/DGA_DOID_8778_EGR2_textmining': ['bio/hg19_EGR2', 'bio/hg38_EGR2'], 'bio/DGA_DOID_8778_TNFSF10_textmining': ['bio/hg19_TNFSF10', 'bio/hg38_TNFSF10'], 'bio/DGA_DOID_8778_SMAD2_textmining': ['bio/hg19_SMAD2', 'bio/hg38_SMAD2'], 'bio/DGA_DOID_8778_NADSYN1_textmining': ['bio/hg19_NADSYN1', 'bio/hg38_NADSYN1'], 'bio/DGA_DOID_8778_KIF5A_textmining': ['bio/hg19_KIF5A', 'bio/hg38_KIF5A'], 'bio/DGA_DOID_8778_GH1_textmining': ['bio/hg19_GH1', 'bio/hg38_GH1'], 'bio/DGA_DOID_8778_CAPSL_textmining': ['bio/hg19_CAPSL', 'bio/hg38_CAPSL'], 'bio/DGA_DOID_8778_KRT7_textmining': ['bio/hg19_KRT7', 'bio/hg38_KRT7'], 'bio/DGA_DOID_8778_ST3GAL6_textmining': ['bio/hg19_ST3GAL6', 'bio/hg38_ST3GAL6'], 'bio/DGA_DOID_8778_LINC01556_textmining': ['bio/hg19_LINC01556', 'bio/hg38_LINC01556'], 'bio/DGA_DOID_8778_SETD2_textmining': ['bio/hg19_SETD2', 'bio/hg38_SETD2'], 'bio/DGA_DOID_8778_FAM213A_textmining': ['bio/hg19_FAM213A'], 'bio/DGA_DOID_8778_SLC22A12_textmining': ['bio/hg19_SLC22A12', 'bio/hg38_SLC22A12'], 'bio/DGA_DOID_8778_CEACAM6_textmining': ['bio/hg19_CEACAM6', 'bio/hg38_CEACAM6'], 'bio/DGA_DOID_8778_ENSP00000412457_textmining': [], 'bio/DGA_DOID_8778_TBP_textmining': ['bio/hg19_TBP', 'bio/hg38_TBP'], 'bio/DGA_DOID_8778_AGER_textmining': ['bio/hg19_AGER', 'bio/hg38_AGER'], 'bio/DGA_DOID_8778_EIF2AK2_textmining': ['bio/hg19_EIF2AK2', 'bio/hg38_EIF2AK2'], 'bio/DGA_DOID_8778_RNF186_experiments': ['bio/hg19_RNF186', 'bio/hg38_RNF186'], 'bio/DGA_DOID_8778_hsa-miR-101-3p_textmining': [], 'bio/DGA_DOID_8778_GRAP2_textmining': ['bio/hg19_GRAP2', 'bio/hg38_GRAP2'], 'bio/DGA_DOID_8778_SRCIN1_textmining': ['bio/hg19_SRCIN1', 'bio/hg38_SRCIN1'], 'bio/DGA_DOID_8778_DEXI_textmining': ['bio/hg19_DEXI', 'bio/hg38_DEXI'], 'bio/DGA_DOID_8778_STAT2_textmining': ['bio/hg19_STAT2', 'bio/hg38_STAT2'], 'bio/DGA_DOID_8778_DMBT1_textmining': ['bio/hg19_DMBT1', 'bio/hg38_DMBT1'], 'bio/DGA_DOID_8778_ERC1_textmining': ['bio/hg19_ERC1', 'bio/hg38_ERC1'], 'bio/DGA_DOID_8778_PYCARD_textmining': ['bio/hg19_PYCARD', 'bio/hg38_PYCARD'], 'bio/DGA_DOID_8778_EPHA3_textmining': ['bio/hg19_EPHA3', 'bio/hg38_EPHA3'], 'bio/DGA_DOID_8778_UCP1_textmining': ['bio/hg19_UCP1', 'bio/hg38_UCP1'], 'bio/DGA_DOID_8778_CCL22_textmining': ['bio/hg19_CCL22', 'bio/hg38_CCL22'], 'bio/DGA_DOID_8778_CCL21_textmining': ['bio/hg19_CCL21', 'bio/hg38_CCL21'], 'bio/DGA_DOID_8778_RP3-395M20.8_textmining': [], 'bio/DGA_DOID_8778_MED19_textmining': ['bio/hg19_MED19', 'bio/hg38_MED19'], 'bio/DGA_DOID_8778_SECISBP2L_textmining': ['bio/hg19_SECISBP2L', 'bio/hg38_SECISBP2L'], 'bio/DGA_DOID_8778_UNC50_textmining': ['bio/hg19_UNC50', 'bio/hg38_UNC50'], 'bio/DGA_DOID_8778_MPL_textmining': ['bio/hg19_MPL', 'bio/hg38_MPL'], 'bio/DGA_DOID_8778_OR10P1_textmining': ['bio/hg19_OR10P1', 'bio/hg38_OR10P1'], 'bio/DGA_DOID_8778_MBP_textmining': ['bio/hg19_MBP', 'bio/hg38_MBP'], 'bio/DGA_DOID_8778_BAX_textmining': ['bio/hg19_BAX', 'bio/hg38_BAX'], 'bio/DGA_DOID_8778_DFFB_textmining': ['bio/hg19_DFFB', 'bio/hg38_DFFB'], 'bio/DGA_DOID_8778_SERPINE1_textmining': ['bio/hg19_SERPINE1', 'bio/hg38_SERPINE1'], 'bio/DGA_DOID_8778_NELFCD_textmining': ['bio/hg19_NELFCD', 'bio/hg38_NELFCD'], 'bio/DGA_DOID_8778_CDKN1C_textmining': ['bio/hg19_CDKN1C', 'bio/hg38_CDKN1C'], 'bio/DGA_DOID_8778_SHH_textmining': ['bio/hg19_SHH', 'bio/hg38_SHH'], 'bio/DGA_DOID_8778_NAALADL1_textmining': ['bio/hg19_NAALADL1', 'bio/hg38_NAALADL1'], 'bio/DGA_DOID_8778_PYCR1_textmining': ['bio/hg19_PYCR1', 'bio/hg38_PYCR1'], 'bio/DGA_DOID_8778_BTBD8_textmining': ['bio/hg19_BTBD8', 'bio/hg38_BTBD8'], 'bio/DGA_DOID_8778_CLEC1B_textmining': ['bio/hg19_CLEC1B', 'bio/hg38_CLEC1B'], 'bio/DGA_DOID_8778_CAPN7_textmining': ['bio/hg19_CAPN7', 'bio/hg38_CAPN7'], 'bio/DGA_DOID_8778_TRADD_textmining': ['bio/hg19_TRADD', 'bio/hg38_TRADD'], 'bio/DGA_DOID_8778_CCR3_textmining': ['bio/hg19_CCR3', 'bio/hg38_CCR3'], 'bio/DGA_DOID_8778_S1PR4_textmining': ['bio/hg19_S1PR4', 'bio/hg38_S1PR4'], 'bio/DGA_DOID_8778_REEP3_textmining': ['bio/hg19_REEP3', 'bio/hg38_REEP3'], 'bio/DGA_DOID_8778_hsa-let-7i-5p_textmining': [], 'bio/DGA_DOID_8778_SNX20_textmining': ['bio/hg19_SNX20', 'bio/hg38_SNX20'], 'bio/DGA_DOID_8778_SULT1A3_textmining': ['bio/hg19_SULT1A3', 'bio/hg38_SULT1A3'], 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'bio/DGA_DOID_8778_28S_rRNA_textmining': [], 'bio/DGA_DOID_8778_FOXP1_textmining': ['bio/hg19_FOXP1', 'bio/hg38_FOXP1'], 'bio/DGA_DOID_8778_PKM_textmining': ['bio/hg19_PKM', 'bio/hg38_PKM'], 'bio/DGA_DOID_8778_MEG8_textmining': ['bio/hg19_MEG8', 'bio/hg38_MEG8'], 'bio/DGA_DOID_8778_SYMPK_textmining': ['bio/hg19_SYMPK', 'bio/hg38_SYMPK'], 'bio/DGA_DOID_8778_CXCL10_textmining': ['bio/hg19_CXCL10', 'bio/hg38_CXCL10'], 'bio/DGA_DOID_8778_IKZF1_experiments': ['bio/hg19_IKZF1', 'bio/hg38_IKZF1'], 'bio/DGA_DOID_8778_TSPAN4_textmining': ['bio/hg19_TSPAN4', 'bio/hg38_TSPAN4'], 'bio/DGA_DOID_8778_MAP2K3_textmining': ['bio/hg19_MAP2K3', 'bio/hg38_MAP2K3'], 'bio/DGA_DOID_8778_LBR_textmining': ['bio/hg19_LBR', 'bio/hg38_LBR'], 'bio/DGA_DOID_8778_LSP1_experiments': ['bio/hg19_LSP1', 'bio/hg38_LSP1'], 'bio/DGA_DOID_8778_WASL_textmining': ['bio/hg19_WASL', 'bio/hg38_WASL'], 'bio/DGA_DOID_8778_KLRB1_textmining': ['bio/hg19_KLRB1', 'bio/hg38_KLRB1'], 'bio/DGA_DOID_8778_PDPN_textmining': 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'bio/DGA_DOID_8778_IL36RN_textmining': ['bio/hg19_IL36RN', 'bio/hg38_IL36RN'], 'bio/DGA_DOID_8778_HAPLN1_textmining': ['bio/hg19_HAPLN1', 'bio/hg38_HAPLN1'], 'bio/DGA_DOID_8778_OR13C4_textmining': ['bio/hg19_OR13C4', 'bio/hg38_OR13C4'], 'bio/DGA_DOID_8778_MLNR_textmining': ['bio/hg19_MLNR', 'bio/hg38_MLNR'], 'bio/DGA_DOID_8778_KIAA1614_textmining': ['bio/hg19_KIAA1614', 'bio/hg38_KIAA1614'], 'bio/DGA_DOID_8778_EDIL3_textmining': ['bio/hg19_EDIL3', 'bio/hg38_EDIL3'], 'bio/DGA_DOID_8778_AXL_textmining': ['bio/hg19_AXL', 'bio/hg38_AXL'], 'bio/DGA_DOID_8778_CD276_textmining': ['bio/hg19_CD276', 'bio/hg38_CD276'], 'bio/DGA_DOID_8778_STARD13_textmining': ['bio/hg19_STARD13', 'bio/hg38_STARD13'], 'bio/DGA_DOID_8778_CD44_textmining': ['bio/hg19_CD44', 'bio/hg38_CD44'], 'bio/DGA_DOID_8778_HECTD4_textmining': ['bio/hg19_HECTD4', 'bio/hg38_HECTD4'], 'bio/DGA_DOID_8778_PTPRN2_textmining': ['bio/hg19_PTPRN2', 'bio/hg38_PTPRN2'], 'bio/DGA_DOID_8778_OR5V1_textmining': ['bio/hg19_OR5V1', 'bio/hg38_OR5V1'], 'bio/DGA_DOID_8778_THPO_textmining': ['bio/hg19_THPO', 'bio/hg38_THPO'], 'bio/DGA_DOID_8778_CPB2_textmining': ['bio/hg19_CPB2', 'bio/hg38_CPB2'], 'bio/DGA_DOID_8778_ZNF174_textmining': ['bio/hg19_ZNF174', 'bio/hg38_ZNF174'], 'bio/DGA_DOID_8778_OAS3_textmining': ['bio/hg19_OAS3', 'bio/hg38_OAS3'], 'bio/DGA_DOID_8778_AHSP_textmining': ['bio/hg19_AHSP', 'bio/hg38_AHSP'], 'bio/DGA_DOID_8778_ALDH9A1_textmining': ['bio/hg19_ALDH9A1', 'bio/hg38_ALDH9A1'], 'bio/DGA_DOID_8778_YY1_textmining': ['bio/hg19_YY1', 'bio/hg38_YY1'], 'bio/DGA_DOID_8778_PBX2_textmining': ['bio/hg19_PBX2', 'bio/hg38_PBX2'], 'bio/DGA_DOID_8778_CISH_textmining': ['bio/hg19_CISH', 'bio/hg38_CISH'], 'bio/DGA_DOID_8778_CDR2_textmining': ['bio/hg19_CDR2', 'bio/hg38_CDR2'], 'bio/DGA_DOID_8778_GCG_textmining': ['bio/hg19_GCG', 'bio/hg38_GCG'], 'bio/DGA_DOID_8778_SCAMP3_textmining': ['bio/hg19_SCAMP3', 'bio/hg38_SCAMP3'], 'bio/DGA_DOID_8778_AGRP_textmining': ['bio/hg19_AGRP', 'bio/hg38_AGRP'], 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'bio/DGA_DOID_8778_HMOX1_textmining': ['bio/hg19_HMOX1', 'bio/hg38_HMOX1'], 'bio/DGA_DOID_8778_TAF1L_textmining': ['bio/hg19_TAF1L', 'bio/hg38_TAF1L'], 'bio/DGA_DOID_8778_VAV3_textmining': ['bio/hg19_VAV3', 'bio/hg38_VAV3'], 'bio/DGA_DOID_8778_MRPL20_textmining': ['bio/hg19_MRPL20', 'bio/hg38_MRPL20'], 'bio/DGA_DOID_8778_ZNF133_textmining': ['bio/hg19_ZNF133', 'bio/hg38_ZNF133'], 'bio/DGA_DOID_8778_LGR4_textmining': ['bio/hg19_LGR4', 'bio/hg38_LGR4'], 'bio/DGA_DOID_8778_GPX1_textmining': ['bio/hg19_GPX1', 'bio/hg38_GPX1'], 'bio/DGA_DOID_8778_MAP3K14_textmining': ['bio/hg19_MAP3K14', 'bio/hg38_MAP3K14'], 'bio/DGA_DOID_8778_STUB1_textmining': ['bio/hg19_STUB1', 'bio/hg38_STUB1'], 'bio/DGA_DOID_8778_NPC1_textmining': ['bio/hg19_NPC1', 'bio/hg38_NPC1'], 'bio/DGA_DOID_8778_CELA1_textmining': ['bio/hg19_CELA1', 'bio/hg38_CELA1'], 'bio/DGA_DOID_8778_TRPV5_textmining': ['bio/hg19_TRPV5', 'bio/hg38_TRPV5'], 'bio/DGA_DOID_8778_RBP3_textmining': ['bio/hg19_RBP3', 'bio/hg38_RBP3'], 'bio/DGA_DOID_8778_CCL25_textmining': ['bio/hg19_CCL25', 'bio/hg38_CCL25'], 'bio/DGA_DOID_8778_ITLN1_textmining': ['bio/hg19_ITLN1', 'bio/hg38_ITLN1'], 'bio/DGA_DOID_8778_UBA1_textmining': ['bio/hg19_UBA1', 'bio/hg38_UBA1'], 'bio/DGA_DOID_8778_RHOD_textmining': ['bio/hg19_RHOD', 'bio/hg38_RHOD'], 'bio/DGA_DOID_8778_ABCA1_textmining': ['bio/hg19_ABCA1', 'bio/hg38_ABCA1'], 'bio/DGA_DOID_8778_SKAP2_textmining': ['bio/hg19_SKAP2', 'bio/hg38_SKAP2'], 'bio/DGA_DOID_8778_IFNA2_textmining': ['bio/hg19_IFNA2', 'bio/hg38_IFNA2'], 'bio/DGA_DOID_8778_TMEM39A_textmining': ['bio/hg19_TMEM39A', 'bio/hg38_TMEM39A'], 'bio/DGA_DOID_8778_hsa-miR-210-3p_textmining': [], 'bio/DGA_DOID_8778_DEFB106A_textmining': ['bio/hg19_DEFB106A', 'bio/hg38_DEFB106A'], 'bio/DGA_DOID_8778_VWA5B2_textmining': ['bio/hg19_VWA5B2', 'bio/hg38_VWA5B2'], 'bio/DGA_DOID_8778_ACO1_textmining': ['bio/hg19_ACO1', 'bio/hg38_ACO1'], 'bio/DGA_DOID_8778_KLK1_textmining': ['bio/hg19_KLK1', 'bio/hg38_KLK1'], 'bio/DGA_DOID_8778_MT4_textmining': ['bio/hg19_MT4', 'bio/hg38_MT4'], 'bio/DGA_DOID_8778_GPR1_textmining': ['bio/hg19_GPR1', 'bio/hg38_GPR1'], 'bio/DGA_DOID_8778_NKX6-2_textmining': ['bio/hg19_NKX6-2', 'bio/hg38_NKX6-2'], 'bio/DGA_DOID_8778_LILRB4_textmining': ['bio/hg19_LILRB4', 'bio/hg38_LILRB4'], 'bio/DGA_DOID_8778_ARHGEF7_textmining': ['bio/hg19_ARHGEF7', 'bio/hg38_ARHGEF7'], 'bio/DGA_DOID_8778_STAT5A_textmining': ['bio/hg19_STAT5A', 'bio/hg38_STAT5A'], 'bio/DGA_DOID_8778_CFHR1_textmining': ['bio/hg19_CFHR1', 'bio/hg38_CFHR1'], 'bio/DGA_DOID_8778_PAX4_textmining': ['bio/hg19_PAX4', 'bio/hg38_PAX4'], 'bio/DGA_DOID_8778_UBE2N_textmining': ['bio/hg19_UBE2N', 'bio/hg38_UBE2N'], 'bio/DGA_DOID_8778_SMAD3_experiments': ['bio/hg19_SMAD3', 'bio/hg38_SMAD3'], 'bio/DGA_DOID_8778_CYP2C19_textmining': ['bio/hg19_CYP2C19', 'bio/hg38_CYP2C19'], 'bio/DGA_DOID_8778_USP40_textmining': ['bio/hg19_USP40', 'bio/hg38_USP40'], 'bio/DGA_DOID_8778_BAAT_textmining': ['bio/hg19_BAAT', 'bio/hg38_BAAT'], 'bio/DGA_DOID_8778_DEFB4B_textmining': ['bio/hg19_DEFB4B', 'bio/hg38_DEFB4B'], 'bio/DGA_DOID_8778_NEDD4L_textmining': ['bio/hg19_NEDD4L', 'bio/hg38_NEDD4L'], 'bio/DGA_DOID_8778_SKAP2_experiments': ['bio/hg19_SKAP2', 'bio/hg38_SKAP2'], 'bio/DGA_DOID_8778_TGM1_textmining': ['bio/hg19_TGM1', 'bio/hg38_TGM1'], 'bio/DGA_DOID_8778_NOTCH1_textmining': ['bio/hg19_NOTCH1', 'bio/hg38_NOTCH1'], 'bio/DGA_DOID_8778_CKAP5_textmining': ['bio/hg19_CKAP5', 'bio/hg38_CKAP5'], 'bio/DGA_DOID_8778_HLA-E_textmining': ['bio/hg19_HLA-E', 'bio/hg38_HLA-E'], 'bio/DGA_DOID_8778_FGF7_textmining': ['bio/hg19_FGF7', 'bio/hg38_FGF7'], 'bio/DGA_DOID_8778_hsa-miR-106a-5p_textmining': [], 'bio/DGA_DOID_8778_KLHL7_textmining': ['bio/hg19_KLHL7', 'bio/hg38_KLHL7'], 'bio/DGA_DOID_8778_RUNX3_textmining': ['bio/hg19_RUNX3', 'bio/hg38_RUNX3'], 'bio/DGA_DOID_8778_CCL8_textmining': ['bio/hg19_CCL8', 'bio/hg38_CCL8'], 'bio/DGA_DOID_8778_CYBRD1_textmining': ['bio/hg19_CYBRD1', 'bio/hg38_CYBRD1'], 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'bio/DGA_DOID_8778_CR2_textmining': ['bio/hg19_CR2', 'bio/hg38_CR2'], 'bio/DGA_DOID_8778_PTK2_textmining': ['bio/hg19_PTK2', 'bio/hg38_PTK2'], 'bio/DGA_DOID_8778_HSP90AA1_textmining': ['bio/hg19_HSP90AA1', 'bio/hg38_HSP90AA1'], 'bio/DGA_DOID_8778_MTX1_textmining': ['bio/hg19_MTX1', 'bio/hg38_MTX1'], 'bio/DGA_DOID_8778_ZC3H12A_textmining': ['bio/hg19_ZC3H12A', 'bio/hg38_ZC3H12A'], 'bio/DGA_DOID_8778_hsa-miR-34a-5p_textmining': [], 'bio/DGA_DOID_8778_TNFSF8_experiments': ['bio/hg19_TNFSF8', 'bio/hg38_TNFSF8'], 'bio/DGA_DOID_8778_SRL_textmining': ['bio/hg19_SRL', 'bio/hg38_SRL'], 'bio/DGA_DOID_8778_ATP5SL_textmining': ['bio/hg19_ATP5SL'], 'bio/DGA_DOID_8778_CYP2E1_textmining': ['bio/hg19_CYP2E1', 'bio/hg38_CYP2E1'], 'bio/DGA_DOID_8778_GSTP1_textmining': ['bio/hg19_GSTP1', 'bio/hg38_GSTP1'], 'bio/DGA_DOID_8778_hsa-miR-23a-3p_textmining': [], 'bio/DGA_DOID_8778_UCN2_textmining': ['bio/hg19_UCN2', 'bio/hg38_UCN2'], 'bio/DGA_DOID_8778_MIA3_textmining': ['bio/hg19_MIA3', 'bio/hg38_MIA3'], 'bio/DGA_DOID_8778_HDAC9_textmining': ['bio/hg19_HDAC9', 'bio/hg38_HDAC9'], 'bio/DGA_DOID_8778_GPR29_textmining': [], 'bio/DGA_DOID_8778_BCL11B_textmining': ['bio/hg19_BCL11B', 'bio/hg38_BCL11B'], 'bio/DGA_DOID_8778_IL17RE_textmining': ['bio/hg19_IL17RE', 'bio/hg38_IL17RE'], 'bio/DGA_DOID_8778_WDR36_textmining': ['bio/hg19_WDR36', 'bio/hg38_WDR36'], 'bio/DGA_DOID_8778_hsa-miR-191-5p_textmining': [], 'bio/DGA_DOID_8778_NOS2_textmining': ['bio/hg19_NOS2', 'bio/hg38_NOS2'], 'bio/DGA_DOID_8778_TIA1_textmining': ['bio/hg19_TIA1', 'bio/hg38_TIA1'], 'bio/DGA_DOID_8778_JAK1_textmining': ['bio/hg19_JAK1', 'bio/hg38_JAK1'], 'bio/DGA_DOID_8778_MUC21_textmining': ['bio/hg19_MUC21', 'bio/hg38_MUC21'], 'bio/DGA_DOID_8778_IHH_textmining': ['bio/hg19_IHH', 'bio/hg38_IHH'], 'bio/DGA_DOID_8778_HSPD1_textmining': ['bio/hg19_HSPD1', 'bio/hg38_HSPD1'], 'bio/DGA_DOID_8778_NLRP7_textmining': ['bio/hg19_NLRP7', 'bio/hg38_NLRP7'], 'bio/DGA_DOID_8778_BMP1_textmining': ['bio/hg19_BMP1', 'bio/hg38_BMP1'], 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'bio/DGA_DOID_8778_SLC15A1_textmining': ['bio/hg19_SLC15A1', 'bio/hg38_SLC15A1'], 'bio/DGA_DOID_8778_DPP10_textmining': ['bio/hg19_DPP10', 'bio/hg38_DPP10'], 'bio/DGA_DOID_8778_ECE1_textmining': ['bio/hg19_ECE1', 'bio/hg38_ECE1'], 'bio/DGA_DOID_8778_SLC9A2_textmining': ['bio/hg19_SLC9A2', 'bio/hg38_SLC9A2'], 'bio/DGA_DOID_8778_AMICA1_textmining': ['bio/hg19_AMICA1'], 'bio/DGA_DOID_8778_DOLPP1_textmining': ['bio/hg19_DOLPP1', 'bio/hg38_DOLPP1'], 'bio/DGA_DOID_8778_hsa-let-7a-5p_textmining': [], 'bio/DGA_DOID_8778_DEFB108B_textmining': ['bio/hg19_DEFB108B', 'bio/hg38_DEFB108B'], 'bio/DGA_DOID_8778_ACSS2_textmining': ['bio/hg19_ACSS2', 'bio/hg38_ACSS2'], 'bio/DGA_DOID_8778_PRDM10_textmining': ['bio/hg19_PRDM10', 'bio/hg38_PRDM10'], 'bio/DGA_DOID_8778_FYCO1_textmining': ['bio/hg19_FYCO1', 'bio/hg38_FYCO1'], 'bio/DGA_DOID_8778_CALCR_textmining': ['bio/hg19_CALCR', 'bio/hg38_CALCR'], 'bio/DGA_DOID_8778_CARD17_textmining': ['bio/hg19_CARD17', 'bio/hg38_CARD17'], 'bio/DGA_DOID_8778_hsa-miR-671-5p_textmining': [], 'bio/DGA_DOID_8778_SMOC2_textmining': ['bio/hg19_SMOC2', 'bio/hg38_SMOC2'], 'bio/DGA_DOID_8778_DRD2_textmining': ['bio/hg19_DRD2', 'bio/hg38_DRD2'], 'bio/DGA_DOID_8778_SOCS2_textmining': ['bio/hg19_SOCS2', 'bio/hg38_SOCS2'], 'bio/DGA_DOID_8778_CYLD_experiments': ['bio/hg19_CYLD', 'bio/hg38_CYLD'], 'bio/DGA_DOID_8778_XDH_textmining': ['bio/hg19_XDH', 'bio/hg38_XDH'], 'bio/DGA_DOID_8778_CHGB_textmining': ['bio/hg19_CHGB', 'bio/hg38_CHGB'], 'bio/DGA_DOID_8778_HOXA13_experiments': ['bio/hg19_HOXA13', 'bio/hg38_HOXA13'], 'bio/DGA_DOID_8778_MT1H_textmining': ['bio/hg19_MT1H', 'bio/hg38_MT1H'], 'bio/DGA_DOID_8778_TAGAP_experiments': ['bio/hg19_TAGAP', 'bio/hg38_TAGAP'], 'bio/DGA_DOID_8778_EDNRB_textmining': ['bio/hg19_EDNRB', 'bio/hg38_EDNRB'], 'bio/DGA_DOID_8778_EPHA1_textmining': ['bio/hg19_EPHA1', 'bio/hg38_EPHA1'], 'bio/DGA_DOID_8778_SSTR2_textmining': ['bio/hg19_SSTR2', 'bio/hg38_SSTR2'], 'bio/DGA_DOID_8778_KIAA0101_textmining': 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'bio/DGA_DOID_8778_TWIST1_textmining': ['bio/hg19_TWIST1', 'bio/hg38_TWIST1'], 'bio/DGA_DOID_8778_LRRK2_experiments': ['bio/hg19_LRRK2', 'bio/hg38_LRRK2'], 'bio/DGA_DOID_8778_MT-CO2_textmining': ['bio/hg19_MT-CO2', 'bio/hg38_MT-CO2'], 'bio/DGA_DOID_8778_ANGPT2_textmining': ['bio/hg19_ANGPT2', 'bio/hg38_ANGPT2'], 'bio/DGA_DOID_8778_SDF4_textmining': ['bio/hg19_SDF4', 'bio/hg38_SDF4'], 'bio/DGA_DOID_8778_SLC6A20_textmining': ['bio/hg19_SLC6A20', 'bio/hg38_SLC6A20'], 'bio/DGA_DOID_8778_NKX2-3_textmining': ['bio/hg19_NKX2-3', 'bio/hg38_NKX2-3'], 'bio/DGA_DOID_8778_NPL_textmining': ['bio/hg19_NPL', 'bio/hg38_NPL'], 'bio/DGA_DOID_8778_LAMP3_textmining': ['bio/hg19_LAMP3', 'bio/hg38_LAMP3'], 'bio/DGA_DOID_8778_SRF_textmining': ['bio/hg19_SRF', 'bio/hg38_SRF'], 'bio/DGA_DOID_8778_ENKUR_textmining': ['bio/hg19_ENKUR', 'bio/hg38_ENKUR'], 'bio/DGA_DOID_8778_NR3C2_textmining': ['bio/hg19_NR3C2', 'bio/hg38_NR3C2'], 'bio/DGA_DOID_8778_IL32_textmining': ['bio/hg19_IL32', 'bio/hg38_IL32'], 'bio/DGA_DOID_8778_hsa-miR-223-3p_textmining': [], 'bio/DGA_DOID_8778_GBP3_textmining': ['bio/hg19_GBP3', 'bio/hg38_GBP3'], 'bio/DGA_DOID_8778_CCR1_textmining': ['bio/hg19_CCR1', 'bio/hg38_CCR1'], 'bio/DGA_DOID_8778_NDFIP1_experiments': ['bio/hg19_NDFIP1', 'bio/hg38_NDFIP1'], 'bio/DGA_DOID_8778_C3AR1_textmining': ['bio/hg19_C3AR1', 'bio/hg38_C3AR1'], 'bio/DGA_DOID_8778_EPO_experiments': ['bio/hg19_EPO', 'bio/hg38_EPO'], 'bio/DGA_DOID_8778_TSPAN8_textmining': ['bio/hg19_TSPAN8', 'bio/hg38_TSPAN8'], 'bio/DGA_DOID_8778_ELOVL2_textmining': ['bio/hg19_ELOVL2', 'bio/hg38_ELOVL2'], 'bio/DGA_DOID_8778_hsa-miR-505-5p_textmining': [], 'bio/DGA_DOID_8778_PVRL2_textmining': ['bio/hg19_PVRL2'], 'bio/DGA_DOID_8778_C5_textmining': ['bio/hg19_C5', 'bio/hg38_C5'], 'bio/DGA_DOID_8778_PINX1_textmining': ['bio/hg19_PINX1', 'bio/hg38_PINX1'], 'bio/DGA_DOID_8778_CEACAM8_textmining': ['bio/hg19_CEACAM8', 'bio/hg38_CEACAM8'], 'bio/DGA_DOID_8778_CCR7_textmining': ['bio/hg19_CCR7', 'bio/hg38_CCR7'], 'bio/DGA_DOID_8778_MEF2C_textmining': ['bio/hg19_MEF2C', 'bio/hg38_MEF2C'], 'bio/DGA_DOID_8778_F11_textmining': ['bio/hg19_F11', 'bio/hg38_F11'], 'bio/DGA_DOID_8778_hsa-miR-93-5p_textmining': [], 'bio/DGA_DOID_8778_PTK2B_textmining': ['bio/hg19_PTK2B', 'bio/hg38_PTK2B'], 'bio/DGA_DOID_8778_RIPK1_textmining': ['bio/hg19_RIPK1', 'bio/hg38_RIPK1'], 'bio/DGA_DOID_8778_NEDD4L_experiments': ['bio/hg19_NEDD4L', 'bio/hg38_NEDD4L'], 'bio/DGA_DOID_8778_FOLR2_textmining': ['bio/hg19_FOLR2', 'bio/hg38_FOLR2'], 'bio/DGA_DOID_8778_RUNX2_textmining': ['bio/hg19_RUNX2', 'bio/hg38_RUNX2'], 'bio/DGA_DOID_8778_FAM92B_textmining': ['bio/hg19_FAM92B', 'bio/hg38_FAM92B'], 'bio/DGA_DOID_8778_CLEC4E_textmining': ['bio/hg19_CLEC4E', 'bio/hg38_CLEC4E'], 'bio/DGA_DOID_8778_CLEC4A_textmining': ['bio/hg19_CLEC4A', 'bio/hg38_CLEC4A'], 'bio/DGA_DOID_8778_FRK_textmining': ['bio/hg19_FRK', 'bio/hg38_FRK'], 'bio/DGA_DOID_8778_DNM1L_textmining': ['bio/hg19_DNM1L', 'bio/hg38_DNM1L'], 'bio/DGA_DOID_8778_CPEB4_textmining': 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'bio/DGA_DOID_8778_RPS23_textmining': ['bio/hg19_RPS23', 'bio/hg38_RPS23'], 'bio/DGA_DOID_8778_CALB2_textmining': ['bio/hg19_CALB2', 'bio/hg38_CALB2'], 'bio/DGA_DOID_8778_PTPN2_experiments': ['bio/hg19_PTPN2', 'bio/hg38_PTPN2'], 'bio/DGA_DOID_8778_NFKBIA_textmining': ['bio/hg19_NFKBIA', 'bio/hg38_NFKBIA'], 'bio/DGA_DOID_8778_CD14_textmining': ['bio/hg19_CD14', 'bio/hg38_CD14'], 'bio/DGA_DOID_8778_CCDC88B_textmining': ['bio/hg19_CCDC88B', 'bio/hg38_CCDC88B'], 'bio/DGA_DOID_8778_VAV2_textmining': ['bio/hg19_VAV2', 'bio/hg38_VAV2'], 'bio/DGA_DOID_8778_IL5RA_textmining': ['bio/hg19_IL5RA', 'bio/hg38_IL5RA'], 'bio/DGA_DOID_8778_FGF4_textmining': ['bio/hg19_FGF4', 'bio/hg38_FGF4'], 'bio/DGA_DOID_8778_KCNQ1_textmining': ['bio/hg19_KCNQ1', 'bio/hg38_KCNQ1'], 'bio/DGA_DOID_8778_ZSCAN9_textmining': ['bio/hg19_ZSCAN9', 'bio/hg38_ZSCAN9'], 'bio/DGA_DOID_8778_EID1_textmining': ['bio/hg19_EID1', 'bio/hg38_EID1'], 'bio/DGA_DOID_8778_GIPC2_experiments': ['bio/hg19_GIPC2', 'bio/hg38_GIPC2'], 'bio/DGA_DOID_8778_NAMPT_textmining': ['bio/hg19_NAMPT', 'bio/hg38_NAMPT'], 'bio/DGA_DOID_8778_BIRC3_textmining': ['bio/hg19_BIRC3', 'bio/hg38_BIRC3'], 'bio/DGA_DOID_8778_NAT2_textmining': ['bio/hg19_NAT2', 'bio/hg38_NAT2'], 'bio/DGA_DOID_8778_CPQ_textmining': ['bio/hg19_CPQ', 'bio/hg38_CPQ'], 'bio/DGA_DOID_8778_CLDN1_textmining': ['bio/hg19_CLDN1', 'bio/hg38_CLDN1'], 'bio/DGA_DOID_8778_GCSAML_textmining': ['bio/hg19_GCSAML', 'bio/hg38_GCSAML'], 'bio/DGA_DOID_8778_DEFB106B_textmining': ['bio/hg19_DEFB106B', 'bio/hg38_DEFB106B'], 'bio/DGA_DOID_8778_CD209_textmining': ['bio/hg19_CD209', 'bio/hg38_CD209'], 'bio/DGA_DOID_8778_EXOC2_textmining': ['bio/hg19_EXOC2', 'bio/hg38_EXOC2'], 'bio/DGA_DOID_8778_UBE2L3_textmining': ['bio/hg19_UBE2L3', 'bio/hg38_UBE2L3'], 'bio/DGA_DOID_8778_MUC3A_textmining': ['bio/hg19_MUC3A', 'bio/hg38_MUC3A'], 'bio/DGA_DOID_8778_SMURF2_textmining': ['bio/hg19_SMURF2', 'bio/hg38_SMURF2'], 'bio/DGA_DOID_8778_FGF1_textmining': ['bio/hg19_FGF1', 'bio/hg38_FGF1'], 'bio/DGA_DOID_8778_SPHK1_textmining': ['bio/hg19_SPHK1', 'bio/hg38_SPHK1'], 'bio/DGA_DOID_8778_PGLYRP3_textmining': ['bio/hg19_PGLYRP3', 'bio/hg38_PGLYRP3'], 'bio/DGA_DOID_8778_C10orf55_experiments': ['bio/hg19_C10orf55', 'bio/hg38_C10orf55'], 'bio/DGA_DOID_8778_DCLRE1C_textmining': ['bio/hg19_DCLRE1C', 'bio/hg38_DCLRE1C'], 'bio/DGA_DOID_8778_IRX3_textmining': ['bio/hg19_IRX3', 'bio/hg38_IRX3'], 'bio/DGA_DOID_8778_CD38_textmining': ['bio/hg19_CD38', 'bio/hg38_CD38'], 'bio/DGA_DOID_8778_ADCY10_textmining': ['bio/hg19_ADCY10', 'bio/hg38_ADCY10'], 'bio/DGA_DOID_8778_PLCL1_experiments': ['bio/hg19_PLCL1', 'bio/hg38_PLCL1'], 'bio/DGA_DOID_8778_ENSP00000480609_textmining': [], 'bio/DGA_DOID_8778_YIPF4_textmining': ['bio/hg19_YIPF4', 'bio/hg38_YIPF4'], 'bio/DGA_DOID_8778_DDR1_textmining': ['bio/hg19_DDR1', 'bio/hg38_DDR1'], 'bio/DGA_DOID_8778_RNASE3_textmining': ['bio/hg19_RNASE3', 'bio/hg38_RNASE3'], 'bio/DGA_DOID_8778_GTPBP4_textmining': ['bio/hg19_GTPBP4', 'bio/hg38_GTPBP4'], 'bio/DGA_DOID_8778_SNAI1_textmining': ['bio/hg19_SNAI1', 'bio/hg38_SNAI1'], 'bio/DGA_DOID_8778_BDNF_textmining': ['bio/hg19_BDNF', 'bio/hg38_BDNF'], 'bio/DGA_DOID_8778_CLEC9A_textmining': ['bio/hg19_CLEC9A', 'bio/hg38_CLEC9A'], 'bio/DGA_DOID_8778_VDR_textmining': ['bio/hg19_VDR', 'bio/hg38_VDR'], 'bio/DGA_DOID_8778_hsa-miR-29a-3p_textmining': [], 'bio/DGA_DOID_8778_LGALS4_textmining': ['bio/hg19_LGALS4', 'bio/hg38_LGALS4'], 'bio/DGA_DOID_8778_CLPS_textmining': ['bio/hg19_CLPS', 'bio/hg38_CLPS'], 'bio/DGA_DOID_8778_NLRP13_textmining': ['bio/hg19_NLRP13', 'bio/hg38_NLRP13'], 'bio/DGA_DOID_8778_NPR3_textmining': ['bio/hg19_NPR3', 'bio/hg38_NPR3'], 'bio/DGA_DOID_8778_HMGCR_textmining': ['bio/hg19_HMGCR', 'bio/hg38_HMGCR'], 'bio/DGA_DOID_8778_HIST2H2AA_textmining': [], 'bio/DGA_DOID_8778_CHPF_textmining': ['bio/hg19_CHPF', 'bio/hg38_CHPF'], 'bio/DGA_DOID_8778_TRIP6_textmining': ['bio/hg19_TRIP6', 'bio/hg38_TRIP6'], 'bio/DGA_DOID_8778_SLC16A1_textmining': ['bio/hg19_SLC16A1', 'bio/hg38_SLC16A1'], 'bio/DGA_DOID_8778_SLC2A1_textmining': ['bio/hg19_SLC2A1', 'bio/hg38_SLC2A1'], 'bio/DGA_DOID_8778_SPHK2_textmining': ['bio/hg19_SPHK2', 'bio/hg38_SPHK2'], 'bio/DGA_DOID_8778_PLA2G4A_textmining': ['bio/hg19_PLA2G4A', 'bio/hg38_PLA2G4A'], 'bio/DGA_DOID_8778_hsa-miR-199a-5p_textmining': [], 'bio/DGA_DOID_8778_ITGAV_textmining': ['bio/hg19_ITGAV', 'bio/hg38_ITGAV'], 'bio/DGA_DOID_8778_KPNA7_experiments': ['bio/hg19_KPNA7', 'bio/hg38_KPNA7'], 'bio/DGA_DOID_8778_SET_textmining': ['bio/hg19_SET', 'bio/hg38_SET'], 'bio/DGA_DOID_8778_OR4A16_textmining': ['bio/hg19_OR4A16', 'bio/hg38_OR4A16'], 'bio/DGA_DOID_8778_P4HA2_experiments': ['bio/hg19_P4HA2', 'bio/hg38_P4HA2'], 'bio/DGA_DOID_8778_OAT_textmining': ['bio/hg19_OAT', 'bio/hg38_OAT'], 'bio/DGA_DOID_8778_RGS1_textmining': ['bio/hg19_RGS1', 'bio/hg38_RGS1'], 'bio/DGA_DOID_8778_hsa-miR-642a-5p_textmining': [], 'bio/DGA_DOID_8778_SCAI_textmining': ['bio/hg19_SCAI', 'bio/hg38_SCAI'], 'bio/DGA_DOID_8778_ZC3H12C_textmining': 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['bio/hg19_CLCN5', 'bio/hg38_CLCN5'], 'bio/DGA_DOID_8778_JAZF1_experiments': ['bio/hg19_JAZF1', 'bio/hg38_JAZF1'], 'bio/DGA_DOID_8778_HIST1H4L_textmining': ['bio/hg19_HIST1H4L', 'bio/hg38_HIST1H4L'], 'bio/DGA_DOID_8778_FCER1A_textmining': ['bio/hg19_FCER1A', 'bio/hg38_FCER1A'], 'bio/DGA_DOID_8778_GPT_textmining': ['bio/hg19_GPT', 'bio/hg38_GPT'], 'bio/DGA_DOID_8778_ARHGAP9_textmining': ['bio/hg19_ARHGAP9', 'bio/hg38_ARHGAP9'], 'bio/DGA_DOID_8778_ATP5A1_textmining': ['bio/hg19_ATP5A1'], 'bio/DGA_DOID_8778_SNRPA_textmining': ['bio/hg19_SNRPA', 'bio/hg38_SNRPA'], 'bio/DGA_DOID_8778_REG3G_textmining': ['bio/hg19_REG3G', 'bio/hg38_REG3G'], 'bio/DGA_DOID_8778_PANX2_textmining': ['bio/hg19_PANX2', 'bio/hg38_PANX2'], 'bio/DGA_DOID_8778_SERPINC1_textmining': ['bio/hg19_SERPINC1', 'bio/hg38_SERPINC1'], 'bio/DGA_DOID_8778_MSI1_textmining': ['bio/hg19_MSI1', 'bio/hg38_MSI1'], 'bio/DGA_DOID_8778_FOS_textmining': ['bio/hg19_FOS', 'bio/hg38_FOS'], 'bio/DGA_DOID_8778_TRIM8_textmining': ['bio/hg19_TRIM8', 'bio/hg38_TRIM8'], 'bio/DGA_DOID_8778_IRGM_textmining': ['bio/hg19_IRGM', 'bio/hg38_IRGM'], 'bio/DGA_DOID_8778_TP53_textmining': ['bio/hg19_TP53', 'bio/hg38_TP53'], 'bio/DGA_DOID_8778_LGALS8_textmining': ['bio/hg19_LGALS8', 'bio/hg38_LGALS8'], 'bio/DGA_DOID_8778_FCGR1A_textmining': ['bio/hg19_FCGR1A', 'bio/hg38_FCGR1A'], 'bio/DGA_DOID_8778_EIF4EBP1_textmining': ['bio/hg19_EIF4EBP1', 'bio/hg38_EIF4EBP1'], 'bio/DGA_DOID_8778_MAP3K13_textmining': ['bio/hg19_MAP3K13', 'bio/hg38_MAP3K13'], 'bio/DGA_DOID_8778_ZDHHC1_textmining': ['bio/hg19_ZDHHC1', 'bio/hg38_ZDHHC1'], 'bio/DGA_DOID_8778_hsa-miR-99a-5p_textmining': [], 'bio/DGA_DOID_8778_TNFSF18_experiments': ['bio/hg19_TNFSF18', 'bio/hg38_TNFSF18'], 'bio/DGA_DOID_8778_CXCL17_textmining': ['bio/hg19_CXCL17', 'bio/hg38_CXCL17'], 'bio/DGA_DOID_8778_ANXA5_textmining': ['bio/hg19_ANXA5', 'bio/hg38_ANXA5'], 'bio/DGA_DOID_8778_HDAC3_textmining': ['bio/hg19_HDAC3', 'bio/hg38_HDAC3'], 'bio/DGA_DOID_8778_EXO1_textmining': ['bio/hg19_EXO1', 'bio/hg38_EXO1'], 'bio/DGA_DOID_8778_CLEC2A_textmining': ['bio/hg19_CLEC2A', 'bio/hg38_CLEC2A'], 'bio/DGA_DOID_8778_RSPO2_textmining': ['bio/hg19_RSPO2', 'bio/hg38_RSPO2'], 'bio/DGA_DOID_8778_MB21D1_textmining': ['bio/hg19_MB21D1'], 'bio/DGA_DOID_8778_USP38_textmining': ['bio/hg19_USP38', 'bio/hg38_USP38'], 'bio/DGA_DOID_8778_NEDD4_textmining': ['bio/hg19_NEDD4', 'bio/hg38_NEDD4'], 'bio/DGA_DOID_8778_VWF_textmining': ['bio/hg19_VWF', 'bio/hg38_VWF'], 'bio/DGA_DOID_8778_ACVR2A_textmining': ['bio/hg19_ACVR2A', 'bio/hg38_ACVR2A'], 'bio/DGA_DOID_8778_TRIL_textmining': ['bio/hg19_TRIL', 'bio/hg38_TRIL'], 'bio/DGA_DOID_8778_CASP8_textmining': ['bio/hg19_CASP8', 'bio/hg38_CASP8'], 'bio/DGA_DOID_8778_IGF1_textmining': ['bio/hg19_IGF1', 'bio/hg38_IGF1'], 'bio/DGA_DOID_8778_TSHR_textmining': ['bio/hg19_TSHR', 'bio/hg38_TSHR'], 'bio/DGA_DOID_8778_ZFP36_textmining': ['bio/hg19_ZFP36', 'bio/hg38_ZFP36'], 'bio/DGA_DOID_8778_RNASEH2C_textmining': ['bio/hg19_RNASEH2C', 'bio/hg38_RNASEH2C'], 'bio/DGA_DOID_8778_HSPA5_textmining': ['bio/hg19_HSPA5', 'bio/hg38_HSPA5'], 'bio/DGA_DOID_8778_ABHD3_textmining': ['bio/hg19_ABHD3', 'bio/hg38_ABHD3'], 'bio/DGA_DOID_8778_TMBIM1_experiments': ['bio/hg19_TMBIM1', 'bio/hg38_TMBIM1'], 'bio/DGA_DOID_8778_RORA_textmining': ['bio/hg19_RORA', 'bio/hg38_RORA'], 'bio/DGA_DOID_8778_ATM_textmining': ['bio/hg19_ATM', 'bio/hg38_ATM'], 'bio/DGA_DOID_8778_FLT1_textmining': ['bio/hg19_FLT1', 'bio/hg38_FLT1'], 'bio/DGA_DOID_8778_CTSL_textmining': ['bio/hg19_CTSL', 'bio/hg38_CTSL'], 'bio/DGA_DOID_8778_IL15RA_textmining': ['bio/hg19_IL15RA', 'bio/hg38_IL15RA'], 'bio/DGA_DOID_8778_VCAN_textmining': ['bio/hg19_VCAN', 'bio/hg38_VCAN'], 'bio/DGA_DOID_8778_FTO_textmining': ['bio/hg19_FTO', 'bio/hg38_FTO'], 'bio/DGA_DOID_8778_CYP2C8_textmining': ['bio/hg19_CYP2C8', 'bio/hg38_CYP2C8'], 'bio/DGA_DOID_8778_HLA-DRB1_textmining': ['bio/hg19_HLA-DRB1', 'bio/hg38_HLA-DRB1'], 'bio/DGA_DOID_8778_CHRM1_textmining': ['bio/hg19_CHRM1', 'bio/hg38_CHRM1'], 'bio/DGA_DOID_8778_C5orf30_textmining': ['bio/hg19_C5orf30', 'bio/hg38_C5orf30'], 'bio/DGA_DOID_8778_MAP3K5_textmining': ['bio/hg19_MAP3K5', 'bio/hg38_MAP3K5'], 'bio/DGA_DOID_8778_ST3GAL1_textmining': ['bio/hg19_ST3GAL1', 'bio/hg38_ST3GAL1'], 'bio/DGA_DOID_8778_MRC1_textmining': ['bio/hg19_MRC1', 'bio/hg38_MRC1'], 'bio/DGA_DOID_8778_P2RY13_textmining': ['bio/hg19_P2RY13', 'bio/hg38_P2RY13'], 'bio/DGA_DOID_8778_PLCL2_textmining': ['bio/hg19_PLCL2', 'bio/hg38_PLCL2'], 'bio/DGA_DOID_8778_IL26_textmining': ['bio/hg19_IL26', 'bio/hg38_IL26'], 'bio/DGA_DOID_8778_HRH2_textmining': ['bio/hg19_HRH2', 'bio/hg38_HRH2'], 'bio/DGA_DOID_8778_CTF1_textmining': ['bio/hg19_CTF1', 'bio/hg38_CTF1'], 'bio/DGA_DOID_8778_RRAS_textmining': ['bio/hg19_RRAS', 'bio/hg38_RRAS'], 'bio/DGA_DOID_8778_hsa-miR-4264_textmining': [], 'bio/DGA_DOID_8778_GHITM_textmining': ['bio/hg19_GHITM', 'bio/hg38_GHITM'], 'bio/DGA_DOID_8778_CRHR2_textmining': ['bio/hg19_CRHR2', 'bio/hg38_CRHR2'], 'bio/DGA_DOID_8778_ENSP00000485133_textmining': [], 'bio/DGA_DOID_8778_PLEKHM1_textmining': ['bio/hg19_PLEKHM1', 'bio/hg38_PLEKHM1'], 'bio/DGA_DOID_8778_IRAK3_textmining': ['bio/hg19_IRAK3', 'bio/hg38_IRAK3'], 'bio/DGA_DOID_8778_CXCR6_textmining': ['bio/hg19_CXCR6', 'bio/hg38_CXCR6'], 'bio/DGA_DOID_8778_ORM2_textmining': ['bio/hg19_ORM2', 'bio/hg38_ORM2'], 'bio/DGA_DOID_8778_SATB1_textmining': ['bio/hg19_SATB1', 'bio/hg38_SATB1'], 'bio/DGA_DOID_8778_LTB4R2_textmining': ['bio/hg19_LTB4R2', 'bio/hg38_LTB4R2'], 'bio/DGA_DOID_8778_CD300LB_textmining': ['bio/hg19_CD300LB', 'bio/hg38_CD300LB'], 'bio/DGA_DOID_8778_CD22_textmining': ['bio/hg19_CD22', 'bio/hg38_CD22'], 'bio/DGA_DOID_8778_PIM1_textmining': ['bio/hg19_PIM1', 'bio/hg38_PIM1'], 'bio/DGA_DOID_8778_CYP2C9_textmining': ['bio/hg19_CYP2C9', 'bio/hg38_CYP2C9'], 'bio/DGA_DOID_8778_UBE2D3_textmining': ['bio/hg19_UBE2D3', 'bio/hg38_UBE2D3'], 'bio/DGA_DOID_8778_DICER1_textmining': ['bio/hg19_DICER1', 'bio/hg38_DICER1'], 'bio/DGA_DOID_8778_CDKN1B_textmining': ['bio/hg19_CDKN1B', 'bio/hg38_CDKN1B'], 'bio/DGA_DOID_8778_MYH9_textmining': ['bio/hg19_MYH9', 'bio/hg38_MYH9'], 'bio/DGA_DOID_8778_KMT2A_textmining': ['bio/hg19_KMT2A', 'bio/hg38_KMT2A'], 'bio/DGA_DOID_8778_NTAN1_textmining': ['bio/hg19_NTAN1', 'bio/hg38_NTAN1'], 'bio/DGA_DOID_8778_PIK3CG_textmining': ['bio/hg19_PIK3CG', 'bio/hg38_PIK3CG'], 'bio/DGA_DOID_8778_MIS12_textmining': ['bio/hg19_MIS12', 'bio/hg38_MIS12'], 'bio/DGA_DOID_8778_hsa-miR-24-3p_textmining': [], 'bio/DGA_DOID_8778_NR1D2_textmining': ['bio/hg19_NR1D2', 'bio/hg38_NR1D2'], 'bio/DGA_DOID_8778_ABCC8_textmining': ['bio/hg19_ABCC8', 'bio/hg38_ABCC8'], 'bio/DGA_DOID_8778_hsa-miR-346_textmining': [], 'bio/DGA_DOID_8778_DENND2D_textmining': ['bio/hg19_DENND2D', 'bio/hg38_DENND2D'], 'bio/DGA_DOID_8778_ZNF629_textmining': ['bio/hg19_ZNF629', 'bio/hg38_ZNF629'], 'bio/DGA_DOID_8778_PDE6B_textmining': ['bio/hg19_PDE6B', 'bio/hg38_PDE6B'], 'bio/DGA_DOID_8778_CDH11_textmining': ['bio/hg19_CDH11', 'bio/hg38_CDH11'], 'bio/DGA_DOID_8778_ZBTB10_textmining': ['bio/hg19_ZBTB10', 'bio/hg38_ZBTB10'], 'bio/DGA_DOID_8778_BBC3_textmining': ['bio/hg19_BBC3', 'bio/hg38_BBC3'], 'bio/DGA_DOID_8778_SBNO2_textmining': ['bio/hg19_SBNO2', 'bio/hg38_SBNO2'], 'bio/DGA_DOID_8778_MNAT1_textmining': ['bio/hg19_MNAT1', 'bio/hg38_MNAT1'], 'bio/DGA_DOID_8778_BGLAP_textmining': ['bio/hg19_BGLAP', 'bio/hg38_BGLAP'], 'bio/DGA_DOID_8778_MUC16_textmining': ['bio/hg19_MUC16', 'bio/hg38_MUC16'], 'bio/DGA_DOID_8778_CETP_textmining': ['bio/hg19_CETP', 'bio/hg38_CETP'], 'bio/DGA_DOID_8778_ATG13_textmining': ['bio/hg19_ATG13', 'bio/hg38_ATG13'], 'bio/DGA_DOID_8778_CAMLG_textmining': ['bio/hg19_CAMLG', 'bio/hg38_CAMLG'], 'bio/DGA_DOID_8778_CECR1_textmining': ['bio/hg19_CECR1'], 'bio/DGA_DOID_8778_MMP12_textmining': ['bio/hg19_MMP12', 'bio/hg38_MMP12'], 'bio/DGA_DOID_8778_RARS_textmining': ['bio/hg19_RARS', 'bio/hg38_RARS'], 'bio/DGA_DOID_8778_ALDH2_textmining': ['bio/hg19_ALDH2', 'bio/hg38_ALDH2'], 'bio/DGA_DOID_8778_SELK_textmining': ['bio/hg19_SELK'], 'bio/DGA_DOID_8778_CTRL_textmining': ['bio/hg19_CTRL', 'bio/hg38_CTRL'], 'bio/DGA_DOID_8778_OTUD1_textmining': ['bio/hg19_OTUD1', 'bio/hg38_OTUD1'], 'bio/DGA_DOID_8778_MMP3_textmining': ['bio/hg19_MMP3', 'bio/hg38_MMP3'], 'bio/DGA_DOID_8778_IL27_experiments': ['bio/hg19_IL27', 'bio/hg38_IL27'], 'bio/DGA_DOID_8778_FUT7_textmining': ['bio/hg19_FUT7', 'bio/hg38_FUT7'], 'bio/DGA_DOID_8778_DEFA4_textmining': ['bio/hg19_DEFA4', 'bio/hg38_DEFA4'], 'bio/DGA_DOID_8778_NPEPPS_textmining': ['bio/hg19_NPEPPS', 'bio/hg38_NPEPPS'], 'bio/DGA_DOID_8778_OSGIN2_experiments': ['bio/hg19_OSGIN2', 'bio/hg38_OSGIN2'], 'bio/DGA_DOID_8778_BAZ1A_textmining': ['bio/hg19_BAZ1A', 'bio/hg38_BAZ1A'], 'bio/DGA_DOID_8778_ATG2B_textmining': ['bio/hg19_ATG2B', 'bio/hg38_ATG2B'], 'bio/DGA_DOID_8778_PIN1_textmining': ['bio/hg19_PIN1', 'bio/hg38_PIN1'], 'bio/DGA_DOID_8778_SLC22A5_knowledge': ['bio/hg19_SLC22A5', 'bio/hg38_SLC22A5'], 'bio/DGA_DOID_8778_DEFA1_textmining': ['bio/hg19_DEFA1', 'bio/hg38_DEFA1'], 'bio/DGA_DOID_8778_LBP_textmining': ['bio/hg19_LBP', 'bio/hg38_LBP'], 'bio/DGA_DOID_8778_REM1_textmining': ['bio/hg19_REM1', 'bio/hg38_REM1'], 'bio/DGA_DOID_8778_PTHLH_textmining': ['bio/hg19_PTHLH', 'bio/hg38_PTHLH'], 'bio/DGA_DOID_8778_NR0B2_textmining': ['bio/hg19_NR0B2', 'bio/hg38_NR0B2'], 'bio/DGA_DOID_8778_NAA50_textmining': ['bio/hg19_NAA50', 'bio/hg38_NAA50'], 'bio/DGA_DOID_8778_HRH4_textmining': ['bio/hg19_HRH4', 'bio/hg38_HRH4'], 'bio/DGA_DOID_8778_CDX2_textmining': ['bio/hg19_CDX2', 'bio/hg38_CDX2'], 'bio/DGA_DOID_8778_CCL11_textmining': ['bio/hg19_CCL11', 'bio/hg38_CCL11'], 'bio/DGA_DOID_8778_PMP22_textmining': ['bio/hg19_PMP22', 'bio/hg38_PMP22'], 'bio/DGA_DOID_8778_PLAUR_textmining': ['bio/hg19_PLAUR', 'bio/hg38_PLAUR'], 'bio/DGA_DOID_8778_LAMP1_textmining': ['bio/hg19_LAMP1', 'bio/hg38_LAMP1'], 'bio/DGA_DOID_8778_CD74_textmining': ['bio/hg19_CD74', 'bio/hg38_CD74'], 'bio/DGA_DOID_8778_EDN3_textmining': ['bio/hg19_EDN3', 'bio/hg38_EDN3'], 'bio/DGA_DOID_8778_FGFR4_textmining': ['bio/hg19_FGFR4', 'bio/hg38_FGFR4'], 'bio/DGA_DOID_8778_ELOVL6_textmining': ['bio/hg19_ELOVL6', 'bio/hg38_ELOVL6'], 'bio/DGA_DOID_8778_DLD_textmining': ['bio/hg19_DLD', 'bio/hg38_DLD'], 'bio/DGA_DOID_8778_NKG7_textmining': ['bio/hg19_NKG7', 'bio/hg38_NKG7'], 'bio/DGA_DOID_8778_TRPV3_textmining': ['bio/hg19_TRPV3', 'bio/hg38_TRPV3'], 'bio/DGA_DOID_8778_ADM_textmining': ['bio/hg19_ADM', 'bio/hg38_ADM'], 'bio/DGA_DOID_8778_MCAM_textmining': ['bio/hg19_MCAM', 'bio/hg38_MCAM'], 'bio/DGA_DOID_8778_CD68_textmining': ['bio/hg19_CD68', 'bio/hg38_CD68'], 'bio/DGA_DOID_8778_CHRNA7_textmining': ['bio/hg19_CHRNA7', 'bio/hg38_CHRNA7'], 'bio/DGA_DOID_8778_ARPC2_textmining': ['bio/hg19_ARPC2', 'bio/hg38_ARPC2'], 'bio/DGA_DOID_8778_CXADR_textmining': ['bio/hg19_CXADR', 'bio/hg38_CXADR'], 'bio/DGA_DOID_8778_HLA-A_textmining': ['bio/hg19_HLA-A', 'bio/hg38_HLA-A'], 'bio/DGA_DOID_8778_CD7_textmining': ['bio/hg19_CD7', 'bio/hg38_CD7'], 'bio/DGA_DOID_8778_PADI2_textmining': ['bio/hg19_PADI2', 'bio/hg38_PADI2'], 'bio/DGA_DOID_8778_ULK4_textmining': ['bio/hg19_ULK4', 'bio/hg38_ULK4'], 'bio/DGA_DOID_8778_B3GNT2_textmining': ['bio/hg19_B3GNT2', 'bio/hg38_B3GNT2'], 'bio/DGA_DOID_8778_CAPN5_textmining': ['bio/hg19_CAPN5', 'bio/hg38_CAPN5'], 'bio/DGA_DOID_8778_DNASE1_textmining': ['bio/hg19_DNASE1', 'bio/hg38_DNASE1'], 'bio/DGA_DOID_8778_ASIC2_textmining': ['bio/hg19_ASIC2', 'bio/hg38_ASIC2'], 'bio/DGA_DOID_8778_CD3D_textmining': ['bio/hg19_CD3D', 'bio/hg38_CD3D'], 'bio/DGA_DOID_8778_HIST1H4F_textmining': ['bio/hg19_HIST1H4F', 'bio/hg38_HIST1H4F'], 'bio/DGA_DOID_8778_MTMR3_textmining': ['bio/hg19_MTMR3', 'bio/hg38_MTMR3'], 'bio/DGA_DOID_8778_SARM1_textmining': ['bio/hg19_SARM1', 'bio/hg38_SARM1'], 'bio/DGA_DOID_8778_UCP2_textmining': ['bio/hg19_UCP2', 'bio/hg38_UCP2'], 'bio/DGA_DOID_8778_HSPB1_textmining': ['bio/hg19_HSPB1', 'bio/hg38_HSPB1'], 'bio/DGA_DOID_8778_KIR3DL3_textmining': ['bio/hg19_KIR3DL3', 'bio/hg38_KIR3DL3'], 'bio/DGA_DOID_8778_PCSK9_textmining': ['bio/hg19_PCSK9', 'bio/hg38_PCSK9'], 'bio/DGA_DOID_8778_CBFA2T2_textmining': ['bio/hg19_CBFA2T2', 'bio/hg38_CBFA2T2'], 'bio/DGA_DOID_8778_OTULIN_textmining': ['bio/hg19_OTULIN', 'bio/hg38_OTULIN'], 'bio/DGA_DOID_8778_GDF15_textmining': ['bio/hg19_GDF15', 'bio/hg38_GDF15'], 'bio/DGA_DOID_8778_PRG2_textmining': ['bio/hg19_PRG2', 'bio/hg38_PRG2'], 'bio/DGA_DOID_8778_ARHGEF6_textmining': ['bio/hg19_ARHGEF6', 'bio/hg38_ARHGEF6'], 'bio/DGA_DOID_8778_PIK3CA_textmining': ['bio/hg19_PIK3CA', 'bio/hg38_PIK3CA'], 'bio/DGA_DOID_8778_RPS26_textmining': ['bio/hg19_RPS26', 'bio/hg38_RPS26'], 'bio/DGA_DOID_8778_EGF_textmining': ['bio/hg19_EGF', 'bio/hg38_EGF'], 'bio/DGA_DOID_8778_OTUD5_textmining': ['bio/hg19_OTUD5', 'bio/hg38_OTUD5'], 'bio/DGA_DOID_8778_EIF2AK3_textmining': ['bio/hg19_EIF2AK3', 'bio/hg38_EIF2AK3'], 'bio/DGA_DOID_8778_PANX3_textmining': ['bio/hg19_PANX3', 'bio/hg38_PANX3'], 'bio/DGA_DOID_8778_GRM7_textmining': ['bio/hg19_GRM7', 'bio/hg38_GRM7'], 'bio/DGA_DOID_8778_IMMT_textmining': ['bio/hg19_IMMT', 'bio/hg38_IMMT'], 'bio/DGA_DOID_8778_FOSL1_textmining': ['bio/hg19_FOSL1', 'bio/hg38_FOSL1'], 'bio/DGA_DOID_8778_IL1RL2_textmining': ['bio/hg19_IL1RL2', 'bio/hg38_IL1RL2'], 'bio/DGA_DOID_8778_S1PR3_textmining': ['bio/hg19_S1PR3', 'bio/hg38_S1PR3'], 'bio/DGA_DOID_8778_SEMA5A_textmining': ['bio/hg19_SEMA5A', 'bio/hg38_SEMA5A'], 'bio/DGA_DOID_8778_SLC15A3_textmining': ['bio/hg19_SLC15A3', 'bio/hg38_SLC15A3'], 'bio/DGA_DOID_8778_FCRL5_textmining': ['bio/hg19_FCRL5', 'bio/hg38_FCRL5'], 'bio/DGA_DOID_8778_SERPINB8_textmining': ['bio/hg19_SERPINB8', 'bio/hg38_SERPINB8'], 'bio/DGA_DOID_8778_LINC01194_textmining': ['bio/hg19_LINC01194', 'bio/hg38_LINC01194'], 'bio/DGA_DOID_8778_HDAC2_textmining': ['bio/hg19_HDAC2', 'bio/hg38_HDAC2'], 'bio/DGA_DOID_8778_ZMIZ1_textmining': ['bio/hg19_ZMIZ1', 'bio/hg38_ZMIZ1'], 'bio/DGA_DOID_8778_SLC7A10_experiments': 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'bio/hg38_AKR1B1'], 'bio/DGA_DOID_8778_F11R_textmining': ['bio/hg19_F11R', 'bio/hg38_F11R'], 'bio/DGA_DOID_8778_CCL7_experiments': ['bio/hg19_CCL7', 'bio/hg38_CCL7'], 'bio/DGA_DOID_8778_CYP27B1_textmining': ['bio/hg19_CYP27B1', 'bio/hg38_CYP27B1'], 'bio/DGA_DOID_8778_CLN3_experiments': ['bio/hg19_CLN3', 'bio/hg38_CLN3'], 'bio/DGA_DOID_8778_FABP2_textmining': ['bio/hg19_FABP2', 'bio/hg38_FABP2'], 'bio/DGA_DOID_8778_NCF1_textmining': ['bio/hg19_NCF1', 'bio/hg38_NCF1'], 'bio/DGA_DOID_8778_RAB13_textmining': ['bio/hg19_RAB13', 'bio/hg38_RAB13'], 'bio/DGA_DOID_8778_ORAI1_textmining': ['bio/hg19_ORAI1', 'bio/hg38_ORAI1'], 'bio/DGA_DOID_8778_CD1B_textmining': ['bio/hg19_CD1B', 'bio/hg38_CD1B'], 'bio/DGA_DOID_8778_SPNS2_textmining': ['bio/hg19_SPNS2', 'bio/hg38_SPNS2'], 'bio/DGA_DOID_8778_GGT1_textmining': ['bio/hg19_GGT1', 'bio/hg38_GGT1'], 'bio/DGA_DOID_8778_DPP8_textmining': ['bio/hg19_DPP8', 'bio/hg38_DPP8'], 'bio/DGA_DOID_8778_CRYGC_textmining': ['bio/hg19_CRYGC', 'bio/hg38_CRYGC'], 'bio/DGA_DOID_8778_IL12RB1_textmining': ['bio/hg19_IL12RB1', 'bio/hg38_IL12RB1'], 'bio/DGA_DOID_8778_DAZAP2_textmining': ['bio/hg19_DAZAP2', 'bio/hg38_DAZAP2'], 'bio/DGA_DOID_8778_PTEN_textmining': ['bio/hg19_PTEN', 'bio/hg38_PTEN'], 'bio/DGA_DOID_8778_TSPAN32_textmining': ['bio/hg19_TSPAN32', 'bio/hg38_TSPAN32'], 'bio/DGA_DOID_8778_GUCA2A_textmining': ['bio/hg19_GUCA2A', 'bio/hg38_GUCA2A'], 'bio/DGA_DOID_8778_TRPV4_textmining': ['bio/hg19_TRPV4', 'bio/hg38_TRPV4'], 'bio/DGA_DOID_8778_OGT_textmining': ['bio/hg19_OGT', 'bio/hg38_OGT'], 'bio/DGA_DOID_8778_RAB7A_textmining': ['bio/hg19_RAB7A', 'bio/hg38_RAB7A'], 'bio/DGA_DOID_8778_HSPE1_textmining': ['bio/hg19_HSPE1', 'bio/hg38_HSPE1'], 'bio/DGA_DOID_8778_LRSAM1_textmining': ['bio/hg19_LRSAM1', 'bio/hg38_LRSAM1'], 'bio/DGA_DOID_8778_SMPD2_textmining': ['bio/hg19_SMPD2', 'bio/hg38_SMPD2'], 'bio/DGA_DOID_8778_ENSP00000381231_textmining': [], 'bio/DGA_DOID_8778_ERBB2_textmining': ['bio/hg19_ERBB2', 'bio/hg38_ERBB2'], 'bio/DGA_DOID_8778_CD1E_textmining': ['bio/hg19_CD1E', 'bio/hg38_CD1E'], 'bio/DGA_DOID_8778_BAI1_textmining': ['bio/hg19_BAI1'], 'bio/DGA_DOID_8778_CYGB_textmining': ['bio/hg19_CYGB', 'bio/hg38_CYGB'], 'bio/DGA_DOID_8778_CDX1_textmining': ['bio/hg19_CDX1', 'bio/hg38_CDX1'], 'bio/DGA_DOID_8778_UCN_textmining': ['bio/hg19_UCN', 'bio/hg38_UCN'], 'bio/DGA_DOID_8778_TANK_textmining': ['bio/hg19_TANK', 'bio/hg38_TANK'], 'bio/DGA_DOID_8778_KLK11_textmining': ['bio/hg19_KLK11', 'bio/hg38_KLK11'], 'bio/DGA_DOID_8778_IRF1_textmining': ['bio/hg19_IRF1', 'bio/hg38_IRF1'], 'bio/DGA_DOID_8778_HLA-DMB_textmining': ['bio/hg19_HLA-DMB', 'bio/hg38_HLA-DMB'], 'bio/DGA_DOID_8778_LCE3D_textmining': ['bio/hg19_LCE3D', 'bio/hg38_LCE3D'], 'bio/DGA_DOID_8778_FTH1_textmining': ['bio/hg19_FTH1', 'bio/hg38_FTH1'], 'bio/DGA_DOID_8778_BIN2_textmining': ['bio/hg19_BIN2', 'bio/hg38_BIN2'], 'bio/DGA_DOID_8778_SFTPA1_textmining': ['bio/hg19_SFTPA1', 'bio/hg38_SFTPA1'], 'bio/DGA_DOID_8778_AFP_textmining': ['bio/hg19_AFP', 'bio/hg38_AFP'], 'bio/DGA_DOID_8778_WAPAL_textmining': ['bio/hg19_WAPAL'], 'bio/DGA_DOID_8778_HCAR2_textmining': ['bio/hg19_HCAR2', 'bio/hg38_HCAR2'], 'bio/DGA_DOID_8778_NCOR1_textmining': ['bio/hg19_NCOR1', 'bio/hg38_NCOR1'], 'bio/DGA_DOID_8778_SPG7_textmining': ['bio/hg19_SPG7', 'bio/hg38_SPG7'], 'bio/DGA_DOID_8778_RBM17_textmining': ['bio/hg19_RBM17', 'bio/hg38_RBM17'], 'bio/DGA_DOID_8778_PF4_textmining': ['bio/hg19_PF4', 'bio/hg38_PF4'], 'bio/DGA_DOID_8778_TCF3_textmining': ['bio/hg19_TCF3', 'bio/hg38_TCF3'], 'bio/DGA_DOID_8778_CCL16_textmining': ['bio/hg19_CCL16', 'bio/hg38_CCL16'], 'bio/DGA_DOID_8778_GHRH_textmining': ['bio/hg19_GHRH', 'bio/hg38_GHRH'], 'bio/DGA_DOID_8778_hsa-miR-595_textmining': [], 'bio/DGA_DOID_8778_RDH10_textmining': ['bio/hg19_RDH10', 'bio/hg38_RDH10'], 'bio/DGA_DOID_8778_GPR126_textmining': ['bio/hg19_GPR126'], 'bio/DGA_DOID_8778_EPHB2_textmining': ['bio/hg19_EPHB2', 'bio/hg38_EPHB2'], 'bio/DGA_DOID_8778_MANBA_textmining': ['bio/hg19_MANBA', 'bio/hg38_MANBA'], 'bio/DGA_DOID_8778_NOD2_textmining': ['bio/hg19_NOD2', 'bio/hg38_NOD2'], 'bio/DGA_DOID_8778_RTEL1_textmining': ['bio/hg19_RTEL1', 'bio/hg38_RTEL1'], 'bio/DGA_DOID_8778_PPP6C_textmining': ['bio/hg19_PPP6C', 'bio/hg38_PPP6C'], 'bio/DGA_DOID_8778_C1QTNF6_textmining': ['bio/hg19_C1QTNF6', 'bio/hg38_C1QTNF6'], 'bio/DGA_DOID_8778_HSPA8_textmining': ['bio/hg19_HSPA8', 'bio/hg38_HSPA8'], 'bio/DGA_DOID_8778_SCAMP3_experiments': ['bio/hg19_SCAMP3', 'bio/hg38_SCAMP3'], 'bio/DGA_DOID_8778_TBC1D3D_textmining': ['bio/hg19_TBC1D3D', 'bio/hg38_TBC1D3D'], 'bio/DGA_DOID_8778_IL1R2_textmining': ['bio/hg19_IL1R2', 'bio/hg38_IL1R2'], 'bio/DGA_DOID_8778_SOD3_textmining': ['bio/hg19_SOD3', 'bio/hg38_SOD3'], 'bio/DGA_DOID_8778_IL23A_textmining': ['bio/hg19_IL23A', 'bio/hg38_IL23A'], 'bio/DGA_DOID_8778_HNF4G_textmining': ['bio/hg19_HNF4G', 'bio/hg38_HNF4G'], 'bio/DGA_DOID_8778_CD24_textmining': ['bio/hg19_CD24', 'bio/hg38_CD24'], 'bio/DGA_DOID_8778_ERAP1_textmining': ['bio/hg19_ERAP1', 'bio/hg38_ERAP1'], 'bio/DGA_DOID_8778_S100A10_textmining': ['bio/hg19_S100A10', 'bio/hg38_S100A10'], 'bio/DGA_DOID_8778_IRGQ_textmining': ['bio/hg19_IRGQ', 'bio/hg38_IRGQ'], 'bio/DGA_DOID_8778_ZFP90_experiments': ['bio/hg19_ZFP90', 'bio/hg38_ZFP90'], 'bio/DGA_DOID_8778_MKL1_textmining': ['bio/hg19_MKL1'], 'bio/DGA_DOID_8778_CXCL5_experiments': ['bio/hg19_CXCL5', 'bio/hg38_CXCL5'], 'bio/DGA_DOID_8778_SFTA3_textmining': ['bio/hg19_SFTA3', 'bio/hg38_SFTA3'], 'bio/DGA_DOID_8778_CAPN9_textmining': ['bio/hg19_CAPN9', 'bio/hg38_CAPN9'], 'bio/DGA_DOID_8778_GADD45G_textmining': ['bio/hg19_GADD45G', 'bio/hg38_GADD45G'], 'bio/DGA_DOID_8778_GGT2_textmining': ['bio/hg19_GGT2', 'bio/hg38_GGT2'], 'bio/DGA_DOID_8778_IL10_textmining': ['bio/hg19_IL10', 'bio/hg38_IL10'], 'bio/DGA_DOID_8778_IBSP_textmining': ['bio/hg19_IBSP', 'bio/hg38_IBSP'], 'bio/DGA_DOID_8778_ELANE_textmining': ['bio/hg19_ELANE', 'bio/hg38_ELANE'], 'bio/DGA_DOID_8778_JUND_textmining': ['bio/hg19_JUND', 'bio/hg38_JUND'], 'bio/DGA_DOID_8778_IL3_textmining': ['bio/hg19_IL3', 'bio/hg38_IL3'], 'bio/DGA_DOID_8778_RPE_textmining': ['bio/hg19_RPE', 'bio/hg38_RPE'], 'bio/DGA_DOID_8778_DIBD1_textmining': [], 'bio/DGA_DOID_8778_SLC45A2_textmining': ['bio/hg19_SLC45A2', 'bio/hg38_SLC45A2'], 'bio/DGA_DOID_8778_FAM92B_experiments': ['bio/hg19_FAM92B', 'bio/hg38_FAM92B'], 'bio/DGA_DOID_8778_GLI1_textmining': ['bio/hg19_GLI1', 'bio/hg38_GLI1'], 'bio/DGA_DOID_8778_CTGF_textmining': ['bio/hg19_CTGF', 'bio/hg38_CTGF'], 'bio/DGA_DOID_8778_GCC1_textmining': ['bio/hg19_GCC1', 'bio/hg38_GCC1'], 'bio/DGA_DOID_8778_AQP9_textmining': ['bio/hg19_AQP9', 'bio/hg38_AQP9'], 'bio/DGA_DOID_8778_ADARB2_experiments': ['bio/hg19_ADARB2', 'bio/hg38_ADARB2'], 'bio/DGA_DOID_8778_HLA-DQB1_textmining': ['bio/hg19_HLA-DQB1', 'bio/hg38_HLA-DQB1'], 'bio/DGA_DOID_8778_ATG14_textmining': ['bio/hg19_ATG14', 'bio/hg38_ATG14'], 'bio/DGA_DOID_8778_P2RX3_textmining': ['bio/hg19_P2RX3', 'bio/hg38_P2RX3'], 'bio/DGA_DOID_8778_CSF2_textmining': ['bio/hg19_CSF2', 'bio/hg38_CSF2'], 'bio/DGA_DOID_8778_SLC35A2_textmining': ['bio/hg19_SLC35A2', 'bio/hg38_SLC35A2'], 'bio/DGA_DOID_8778_OSM_textmining': ['bio/hg19_OSM', 'bio/hg38_OSM'], 'bio/DGA_DOID_8778_MUC1_textmining': ['bio/hg19_MUC1', 'bio/hg38_MUC1'], 'bio/DGA_DOID_8778_ST8SIA2_textmining': ['bio/hg19_ST8SIA2', 'bio/hg38_ST8SIA2'], 'bio/DGA_DOID_8778_RAP1A_textmining': ['bio/hg19_RAP1A', 'bio/hg38_RAP1A'], 'bio/DGA_DOID_8778_B3GAT1_textmining': ['bio/hg19_B3GAT1', 'bio/hg38_B3GAT1'], 'bio/DGA_DOID_8778_BEST1_textmining': ['bio/hg19_BEST1', 'bio/hg38_BEST1'], 'bio/DGA_DOID_8778_ELF1_experiments': ['bio/hg19_ELF1', 'bio/hg38_ELF1'], 'bio/DGA_DOID_8778_IFNG-AS1_textmining': ['bio/hg19_IFNG-AS1', 'bio/hg38_IFNG-AS1'], 'bio/DGA_DOID_8778_SLC12A8_textmining': ['bio/hg19_SLC12A8', 'bio/hg38_SLC12A8'], 'bio/DGA_DOID_8778_ACKR4_textmining': ['bio/hg19_ACKR4', 'bio/hg38_ACKR4'], 'bio/DGA_DOID_8778_ZSWIM2_textmining': ['bio/hg19_ZSWIM2', 'bio/hg38_ZSWIM2'], 'bio/DGA_DOID_8778_RTN4IP1_textmining': ['bio/hg19_RTN4IP1', 'bio/hg38_RTN4IP1'], 'bio/DGA_DOID_8778_CYP4F2_textmining': ['bio/hg19_CYP4F2', 'bio/hg38_CYP4F2'], 'bio/DGA_DOID_8778_PAEP_textmining': ['bio/hg19_PAEP', 'bio/hg38_PAEP'], 'bio/DGA_DOID_8778_ADAM19_textmining': ['bio/hg19_ADAM19', 'bio/hg38_ADAM19'], 'bio/DGA_DOID_8778_SLC7A10_textmining': ['bio/hg19_SLC7A10', 'bio/hg38_SLC7A10'], 'bio/DGA_DOID_8778_TRPC3_textmining': ['bio/hg19_TRPC3', 'bio/hg38_TRPC3'], 'bio/DGA_DOID_8778_UNG_textmining': ['bio/hg19_UNG', 'bio/hg38_UNG'], 'bio/DGA_DOID_8778_SLC18A3_textmining': ['bio/hg19_SLC18A3', 'bio/hg38_SLC18A3'], 'bio/DGA_DOID_8778_CTSD_textmining': ['bio/hg19_CTSD', 'bio/hg38_CTSD'], 'bio/DGA_DOID_8778_MX2_textmining': ['bio/hg19_MX2', 'bio/hg38_MX2'], 'bio/DGA_DOID_8778_HLA-F_textmining': ['bio/hg19_HLA-F', 'bio/hg38_HLA-F'], 'bio/DGA_DOID_8778_ADCYAP1_textmining': ['bio/hg19_ADCYAP1', 'bio/hg38_ADCYAP1'], 'bio/DGA_DOID_8778_SEMA7A_textmining': ['bio/hg19_SEMA7A', 'bio/hg38_SEMA7A'], 'bio/DGA_DOID_8778_DDIT4_textmining': ['bio/hg19_DDIT4', 'bio/hg38_DDIT4'], 'bio/DGA_DOID_8778_MMP9_textmining': ['bio/hg19_MMP9', 'bio/hg38_MMP9'], 'bio/DGA_DOID_8778_ALOX5AP_textmining': ['bio/hg19_ALOX5AP', 'bio/hg38_ALOX5AP'], 'bio/DGA_DOID_8778_KCNK4_textmining': ['bio/hg19_KCNK4', 'bio/hg38_KCNK4'], 'bio/DGA_DOID_8778_MYC_textmining': ['bio/hg19_MYC', 'bio/hg38_MYC'], 'bio/DGA_DOID_8778_TXN_textmining': ['bio/hg19_TXN', 'bio/hg38_TXN'], 'bio/DGA_DOID_8778_STAB1_textmining': ['bio/hg19_STAB1', 'bio/hg38_STAB1'], 'bio/DGA_DOID_8778_CASP9_textmining': ['bio/hg19_CASP9', 'bio/hg38_CASP9'], 'bio/DGA_DOID_8778_SKIV2L_textmining': ['bio/hg19_SKIV2L', 'bio/hg38_SKIV2L'], 'bio/DGA_DOID_8778_IL1A_textmining': ['bio/hg19_IL1A', 'bio/hg38_IL1A'], 'bio/DGA_DOID_8778_CFH_textmining': ['bio/hg19_CFH', 'bio/hg38_CFH'], 'bio/DGA_DOID_8778_COX5A_textmining': ['bio/hg19_COX5A', 'bio/hg38_COX5A'], 'bio/DGA_DOID_8778_PSTPIP2_textmining': ['bio/hg19_PSTPIP2', 'bio/hg38_PSTPIP2'], 'bio/DGA_DOID_8778_RETNLB_textmining': ['bio/hg19_RETNLB', 'bio/hg38_RETNLB'], 'bio/DGA_DOID_8778_LONRF2_textmining': ['bio/hg19_LONRF2', 'bio/hg38_LONRF2'], 'bio/DGA_DOID_8778_FCAR_textmining': ['bio/hg19_FCAR', 'bio/hg38_FCAR'], 'bio/DGA_DOID_8778_IRGC_textmining': ['bio/hg19_IRGC', 'bio/hg38_IRGC'], 'bio/DGA_DOID_8778_MT-CO1_textmining': ['bio/hg19_MT-CO1', 'bio/hg38_MT-CO1'], 'bio/DGA_DOID_8778_ABCF2_textmining': ['bio/hg19_ABCF2', 'bio/hg38_ABCF2'], 'bio/DGA_DOID_8778_LINC01554_textmining': ['bio/hg19_LINC01554', 'bio/hg38_LINC01554'], 'bio/DGA_DOID_8778_SLAMF7_textmining': ['bio/hg19_SLAMF7', 'bio/hg38_SLAMF7'], 'bio/DGA_DOID_8778_VPS35_textmining': ['bio/hg19_VPS35', 'bio/hg38_VPS35'], 'bio/DGA_DOID_8778_RPS18_textmining': ['bio/hg19_RPS18', 'bio/hg38_RPS18'], 'bio/DGA_DOID_8778_RNASEL_textmining': ['bio/hg19_RNASEL', 'bio/hg38_RNASEL'], 'bio/DGA_DOID_8778_ST8SIA4_textmining': ['bio/hg19_ST8SIA4', 'bio/hg38_ST8SIA4'], 'bio/DGA_DOID_8778_SCGB1D4_textmining': ['bio/hg19_SCGB1D4', 'bio/hg38_SCGB1D4'], 'bio/DGA_DOID_8778_AIF1_textmining': ['bio/hg19_AIF1', 'bio/hg38_AIF1'], 'bio/DGA_DOID_8778_CDSN_textmining': ['bio/hg19_CDSN', 'bio/hg38_CDSN'], 'bio/DGA_DOID_8778_RGS7_textmining': ['bio/hg19_RGS7', 'bio/hg38_RGS7'], 'bio/DGA_DOID_8778_USP36_textmining': ['bio/hg19_USP36', 'bio/hg38_USP36'], 'bio/DGA_DOID_8778_SDC1_textmining': ['bio/hg19_SDC1', 'bio/hg38_SDC1'], 'bio/DGA_DOID_8778_LCP2_textmining': ['bio/hg19_LCP2', 'bio/hg38_LCP2'], 'bio/DGA_DOID_8778_CRP_textmining': ['bio/hg19_CRP', 'bio/hg38_CRP'], 'bio/DGA_DOID_8778_USP25_textmining': ['bio/hg19_USP25', 'bio/hg38_USP25'], 'bio/DGA_DOID_8778_ARSI_textmining': ['bio/hg19_ARSI', 'bio/hg38_ARSI'], 'bio/DGA_DOID_8778_IRAK1_textmining': ['bio/hg19_IRAK1', 'bio/hg38_IRAK1'], 'bio/DGA_DOID_8778_ATG5_textmining': ['bio/hg19_ATG5', 'bio/hg38_ATG5'], 'bio/DGA_DOID_8778_hsa-miR-2277-3p_textmining': [], 'bio/DGA_DOID_8778_SNAP23_textmining': ['bio/hg19_SNAP23', 'bio/hg38_SNAP23'], 'bio/DGA_DOID_8778_CBSL_textmining': ['bio/hg19_CBSL', 'bio/hg38_CBSL'], 'bio/DGA_DOID_8778_ADI1_textmining': ['bio/hg19_ADI1', 'bio/hg38_ADI1'], 'bio/DGA_DOID_8778_GPSM3_textmining': ['bio/hg19_GPSM3', 'bio/hg38_GPSM3'], 'bio/DGA_DOID_8778_IRG1_textmining': ['bio/hg19_IRG1'], 'bio/DGA_DOID_8778_ENSP00000417050_textmining': [], 'bio/DGA_DOID_8778_JUNB_textmining': ['bio/hg19_JUNB', 'bio/hg38_JUNB'], 'bio/DGA_DOID_8778_RASGRP1_experiments': ['bio/hg19_RASGRP1', 'bio/hg38_RASGRP1'], 'bio/DGA_DOID_8778_NLRP5_textmining': ['bio/hg19_NLRP5', 'bio/hg38_NLRP5'], 'bio/DGA_DOID_8778_LYZL2_textmining': ['bio/hg19_LYZL2', 'bio/hg38_LYZL2'], 'bio/DGA_DOID_8778_hsa-miR-212-3p_textmining': [], 'bio/DGA_DOID_8778_LEPR_textmining': ['bio/hg19_LEPR', 'bio/hg38_LEPR'], 'bio/DGA_DOID_8778_PIK3R1_textmining': ['bio/hg19_PIK3R1', 'bio/hg38_PIK3R1'], 'bio/DGA_DOID_8778_CABIN1_textmining': ['bio/hg19_CABIN1', 'bio/hg38_CABIN1'], 'bio/DGA_DOID_8778_ACTA1_textmining': ['bio/hg19_ACTA1', 'bio/hg38_ACTA1'], 'bio/DGA_DOID_8778_MUC5AC_textmining': ['bio/hg19_MUC5AC', 'bio/hg38_MUC5AC'], 'bio/DGA_DOID_8778_DEFB121_textmining': ['bio/hg19_DEFB121', 'bio/hg38_DEFB121'], 'bio/DGA_DOID_8778_PHRF1_textmining': ['bio/hg19_PHRF1', 'bio/hg38_PHRF1'], 'bio/DGA_DOID_8778_SLC27A5_textmining': ['bio/hg19_SLC27A5', 'bio/hg38_SLC27A5'], 'bio/DGA_DOID_8778_MMP28_textmining': ['bio/hg19_MMP28', 'bio/hg38_MMP28'], 'bio/DGA_DOID_8778_F2RL1_textmining': ['bio/hg19_F2RL1', 'bio/hg38_F2RL1'], 'bio/DGA_DOID_8778_hsa-miR-874-3p_textmining': [], 'bio/DGA_DOID_8778_IKBKAP_textmining': ['bio/hg19_IKBKAP'], 'bio/DGA_DOID_8778_PLSCR2_textmining': ['bio/hg19_PLSCR2', 'bio/hg38_PLSCR2'], 'bio/DGA_DOID_8778_TMEM163_textmining': ['bio/hg19_TMEM163', 'bio/hg38_TMEM163'], 'bio/DGA_DOID_8778_AQP3_textmining': ['bio/hg19_AQP3', 'bio/hg38_AQP3'], 'bio/DGA_DOID_8778_SLC7A1_textmining': ['bio/hg19_SLC7A1', 'bio/hg38_SLC7A1'], 'bio/DGA_DOID_8778_CXCL1_textmining': ['bio/hg19_CXCL1', 'bio/hg38_CXCL1'], 'bio/DGA_DOID_8778_TLR7_textmining': ['bio/hg19_TLR7', 'bio/hg38_TLR7'], 'bio/DGA_DOID_8778_CHIA_textmining': ['bio/hg19_CHIA', 'bio/hg38_CHIA'], 'bio/DGA_DOID_8778_RP3-438O4.4_textmining': [], 'bio/DGA_DOID_8778_GSDMA_textmining': ['bio/hg19_GSDMA', 'bio/hg38_GSDMA'], 'bio/DGA_DOID_8778_SNRPB_textmining': ['bio/hg19_SNRPB', 'bio/hg38_SNRPB'], 'bio/DGA_DOID_8778_NOD2_experiments': ['bio/hg19_NOD2', 'bio/hg38_NOD2'], 'bio/DGA_DOID_8778_ITCH_textmining': ['bio/hg19_ITCH', 'bio/hg38_ITCH'], 'bio/DGA_DOID_8778_CCR10_textmining': ['bio/hg19_CCR10', 'bio/hg38_CCR10'], 'bio/DGA_DOID_8778_FGF13_textmining': ['bio/hg19_FGF13', 'bio/hg38_FGF13'], 'bio/DGA_DOID_8778_RAPGEF6_textmining': ['bio/hg19_RAPGEF6', 'bio/hg38_RAPGEF6'], 'bio/DGA_DOID_8778_hsa-miR-183-5p_textmining': [], 'bio/DGA_DOID_8778_CD40LG_textmining': ['bio/hg19_CD40LG', 'bio/hg38_CD40LG'], 'bio/DGA_DOID_8778_TACR2_textmining': ['bio/hg19_TACR2', 'bio/hg38_TACR2'], 'bio/DGA_DOID_8778_OASL_textmining': ['bio/hg19_OASL', 'bio/hg38_OASL'], 'bio/DGA_DOID_8778_AQP12A_textmining': ['bio/hg19_AQP12A', 'bio/hg38_AQP12A'], 'bio/DGA_DOID_8778_DAGLA_textmining': ['bio/hg19_DAGLA', 'bio/hg38_DAGLA'], 'bio/DGA_DOID_8778_UBC_textmining': ['bio/hg19_UBC', 'bio/hg38_UBC'], 'bio/DGA_DOID_8778_LIX1_textmining': ['bio/hg19_LIX1', 'bio/hg38_LIX1'], 'bio/DGA_DOID_8778_RAB12_textmining': ['bio/hg19_RAB12', 'bio/hg38_RAB12'], 'bio/DGA_DOID_8778_UVRAG_textmining': ['bio/hg19_UVRAG', 'bio/hg38_UVRAG'], 'bio/DGA_DOID_8778_NME6_textmining': ['bio/hg19_NME6', 'bio/hg38_NME6'], 'bio/DGA_DOID_8778_ATG12_textmining': ['bio/hg19_ATG12', 'bio/hg38_ATG12'], 'bio/DGA_DOID_8778_MARCO_textmining': ['bio/hg19_MARCO', 'bio/hg38_MARCO'], 'bio/DGA_DOID_8778_MADCAM1_textmining': ['bio/hg19_MADCAM1', 'bio/hg38_MADCAM1'], 'bio/DGA_DOID_8778_CLC_textmining': ['bio/hg19_CLC', 'bio/hg38_CLC'], 'bio/DGA_DOID_8778_ARSB_textmining': ['bio/hg19_ARSB', 'bio/hg38_ARSB'], 'bio/DGA_DOID_8778_hsa-miR-510-5p_textmining': [], 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'bio/DGA_DOID_8778_SIGLEC8_textmining': ['bio/hg19_SIGLEC8', 'bio/hg38_SIGLEC8'], 'bio/DGA_DOID_8778_ITPR3_textmining': ['bio/hg19_ITPR3', 'bio/hg38_ITPR3'], 'bio/DGA_DOID_8778_IL2_textmining': ['bio/hg19_IL2', 'bio/hg38_IL2'], 'bio/DGA_DOID_8778_BMX_textmining': ['bio/hg19_BMX', 'bio/hg38_BMX'], 'bio/DGA_DOID_8778_ZEB2_textmining': ['bio/hg19_ZEB2', 'bio/hg38_ZEB2'], 'bio/DGA_DOID_8778_IL18RAP_textmining': ['bio/hg19_IL18RAP', 'bio/hg38_IL18RAP'], 'bio/DGA_DOID_8778_WNT7B_textmining': ['bio/hg19_WNT7B', 'bio/hg38_WNT7B'], 'bio/DGA_DOID_8778_STXBP2_textmining': ['bio/hg19_STXBP2', 'bio/hg38_STXBP2'], 'bio/DGA_DOID_8778_ARNT_textmining': ['bio/hg19_ARNT', 'bio/hg38_ARNT'], 'bio/DGA_DOID_8778_TRIM63_textmining': ['bio/hg19_TRIM63', 'bio/hg38_TRIM63'], 'bio/DGA_DOID_8778_S100A13_textmining': ['bio/hg19_S100A13', 'bio/hg38_S100A13'], 'bio/DGA_DOID_8778_RAD51B_experiments': ['bio/hg19_RAD51B', 'bio/hg38_RAD51B'], 'bio/DGA_DOID_8778_CCL17_textmining': ['bio/hg19_CCL17', 'bio/hg38_CCL17'], 'bio/DGA_DOID_8778_PDCD1LG2_textmining': ['bio/hg19_PDCD1LG2', 'bio/hg38_PDCD1LG2'], 'bio/DGA_DOID_8778_MAP3K8_experiments': ['bio/hg19_MAP3K8', 'bio/hg38_MAP3K8'], 'bio/DGA_DOID_8778_PADI6_textmining': ['bio/hg19_PADI6', 'bio/hg38_PADI6'], 'bio/DGA_DOID_8778_TGFB3_textmining': ['bio/hg19_TGFB3', 'bio/hg38_TGFB3'], 'bio/DGA_DOID_8778_ENPP7_textmining': ['bio/hg19_ENPP7', 'bio/hg38_ENPP7'], 'bio/DGA_DOID_8778_ASCL2_textmining': ['bio/hg19_ASCL2', 'bio/hg38_ASCL2'], 'bio/DGA_DOID_8778_ADRA2A_textmining': ['bio/hg19_ADRA2A', 'bio/hg38_ADRA2A'], 'bio/DGA_DOID_8778_TLR3_textmining': ['bio/hg19_TLR3', 'bio/hg38_TLR3'], 'bio/DGA_DOID_8778_EPX_textmining': ['bio/hg19_EPX', 'bio/hg38_EPX'], 'bio/DGA_DOID_8778_APOC1_textmining': ['bio/hg19_APOC1', 'bio/hg38_APOC1'], 'bio/DGA_DOID_8778_PLEKHG5_textmining': ['bio/hg19_PLEKHG5', 'bio/hg38_PLEKHG5'], 'bio/DGA_DOID_8778_EIF2AK4_textmining': ['bio/hg19_EIF2AK4', 'bio/hg38_EIF2AK4'], 'bio/DGA_DOID_8778_MEST_textmining': ['bio/hg19_MEST', 'bio/hg38_MEST'], 'bio/DGA_DOID_8778_ARSE_textmining': ['bio/hg19_ARSE', 'bio/hg38_ARSE'], 'bio/DGA_DOID_8778_SLC15A4_textmining': ['bio/hg19_SLC15A4', 'bio/hg38_SLC15A4'], 'bio/DGA_DOID_8778_GREM1_textmining': ['bio/hg19_GREM1', 'bio/hg38_GREM1'], 'bio/DGA_DOID_8778_HMGB1_textmining': ['bio/hg19_HMGB1', 'bio/hg38_HMGB1'], 'bio/DGA_DOID_8778_TJP3_textmining': ['bio/hg19_TJP3', 'bio/hg38_TJP3'], 'bio/DGA_DOID_8778_G0S2_textmining': ['bio/hg19_G0S2', 'bio/hg38_G0S2'], 'bio/DGA_DOID_8778_TNFSF18_textmining': ['bio/hg19_TNFSF18', 'bio/hg38_TNFSF18'], 'bio/DGA_DOID_8778_BRS3_textmining': ['bio/hg19_BRS3', 'bio/hg38_BRS3'], 'bio/DGA_DOID_8778_IKBKB_textmining': ['bio/hg19_IKBKB', 'bio/hg38_IKBKB'], 'bio/DGA_DOID_8778_SQSTM1_textmining': ['bio/hg19_SQSTM1', 'bio/hg38_SQSTM1'], 'bio/DGA_DOID_8778_RNPEPL1_textmining': ['bio/hg19_RNPEPL1', 'bio/hg38_RNPEPL1'], 'bio/DGA_DOID_8778_FGFR1OP_textmining': ['bio/hg19_FGFR1OP', 'bio/hg38_FGFR1OP'], 'bio/DGA_DOID_8778_KLK5_textmining': ['bio/hg19_KLK5', 'bio/hg38_KLK5'], 'bio/DGA_DOID_8778_PRNP_textmining': ['bio/hg19_PRNP', 'bio/hg38_PRNP'], 'bio/DGA_DOID_8778_GHRL_textmining': ['bio/hg19_GHRL', 'bio/hg38_GHRL'], 'bio/DGA_DOID_8778_IRF5_textmining': ['bio/hg19_IRF5', 'bio/hg38_IRF5'], 'bio/DGA_DOID_8778_MAP4K4_textmining': ['bio/hg19_MAP4K4', 'bio/hg38_MAP4K4'], 'bio/DGA_DOID_8778_APLN_textmining': ['bio/hg19_APLN', 'bio/hg38_APLN'], 'bio/DGA_DOID_8778_CYP2D6_textmining': ['bio/hg19_CYP2D6', 'bio/hg38_CYP2D6'], 'bio/DGA_DOID_8778_SRSF1_textmining': ['bio/hg19_SRSF1', 'bio/hg38_SRSF1'], 'bio/DGA_DOID_8778_RHEB_textmining': ['bio/hg19_RHEB', 'bio/hg38_RHEB'], 'bio/DGA_DOID_8778_STX11_textmining': ['bio/hg19_STX11', 'bio/hg38_STX11'], 'bio/DGA_DOID_8778_PDYN_textmining': ['bio/hg19_PDYN', 'bio/hg38_PDYN'], 'bio/DGA_DOID_8778_LRBA_textmining': ['bio/hg19_LRBA', 'bio/hg38_LRBA'], 'bio/DGA_DOID_8778_S100A1_textmining': ['bio/hg19_S100A1', 'bio/hg38_S100A1'], 'bio/DGA_DOID_8778_PTPRS_textmining': ['bio/hg19_PTPRS', 'bio/hg38_PTPRS'], 'bio/DGA_DOID_8778_IRX6_textmining': ['bio/hg19_IRX6', 'bio/hg38_IRX6'], 'bio/DGA_DOID_8778_RC3H1_textmining': ['bio/hg19_RC3H1', 'bio/hg38_RC3H1'], 'bio/DGA_DOID_8778_MT2A_textmining': ['bio/hg19_MT2A', 'bio/hg38_MT2A'], 'bio/DGA_DOID_8778_hsa-miR-126-3p_textmining': [], 'bio/DGA_DOID_8778_MTOR_textmining': ['bio/hg19_MTOR', 'bio/hg38_MTOR'], 'bio/DGA_DOID_8778_COL6A3_textmining': ['bio/hg19_COL6A3', 'bio/hg38_COL6A3'], 'bio/DGA_DOID_8778_ADCY7_textmining': ['bio/hg19_ADCY7', 'bio/hg38_ADCY7'], 'bio/DGA_DOID_8778_CUL2_experiments': ['bio/hg19_CUL2', 'bio/hg38_CUL2'], 'bio/DGA_DOID_8778_VEGFC_textmining': ['bio/hg19_VEGFC', 'bio/hg38_VEGFC'], 'bio/DGA_DOID_8778_FCGRT_textmining': ['bio/hg19_FCGRT', 'bio/hg38_FCGRT'], 'bio/DGA_DOID_8778_SHKBP1_textmining': ['bio/hg19_SHKBP1', 'bio/hg38_SHKBP1'], 'bio/DGA_DOID_8778_hsa-miR-106b-5p_textmining': [], 'bio/DGA_DOID_8778_FGF21_textmining': ['bio/hg19_FGF21', 'bio/hg38_FGF21'], 'bio/DGA_DOID_8778_TMEM47_experiments': ['bio/hg19_TMEM47', 'bio/hg38_TMEM47'], 'bio/DGA_DOID_8778_BCL10_textmining': ['bio/hg19_BCL10', 'bio/hg38_BCL10'], 'bio/DGA_DOID_8778_ASPG_textmining': ['bio/hg19_ASPG', 'bio/hg38_ASPG'], 'bio/DGA_DOID_8778_TCEB2_textmining': ['bio/hg19_TCEB2'], 'bio/DGA_DOID_8778_PLA2G7_textmining': ['bio/hg19_PLA2G7', 'bio/hg38_PLA2G7'], 'bio/DGA_DOID_8778_GNPTAB_textmining': ['bio/hg19_GNPTAB', 'bio/hg38_GNPTAB'], 'bio/DGA_DOID_8778_KLK8_textmining': ['bio/hg19_KLK8', 'bio/hg38_KLK8'], 'bio/DGA_DOID_8778_RIPK3_textmining': ['bio/hg19_RIPK3', 'bio/hg38_RIPK3'], 'bio/DGA_DOID_8778_TNIP2_textmining': ['bio/hg19_TNIP2', 'bio/hg38_TNIP2'], 'bio/DGA_DOID_8778_CCNB1_textmining': ['bio/hg19_CCNB1', 'bio/hg38_CCNB1'], 'bio/DGA_DOID_8778_APP_textmining': ['bio/hg19_APP', 'bio/hg38_APP'], 'bio/DGA_DOID_8778_DGCR8_textmining': ['bio/hg19_DGCR8', 'bio/hg38_DGCR8'], 'bio/DGA_DOID_8778_GUK1_textmining': ['bio/hg19_GUK1', 'bio/hg38_GUK1'], 'bio/DGA_DOID_8778_REG1A_textmining': ['bio/hg19_REG1A', 'bio/hg38_REG1A'], 'bio/DGA_DOID_8778_ARMC3_textmining': ['bio/hg19_ARMC3', 'bio/hg38_ARMC3'], 'bio/DGA_DOID_8778_PTGER4_textmining': ['bio/hg19_PTGER4', 'bio/hg38_PTGER4'], 'bio/DGA_DOID_8778_MIR155HG_textmining': ['bio/hg19_MIR155HG', 'bio/hg38_MIR155HG'], 'bio/DGA_DOID_8778_MAPK13_textmining': ['bio/hg19_MAPK13', 'bio/hg38_MAPK13'], 'bio/DGA_DOID_8778_IL27_textmining': ['bio/hg19_IL27', 'bio/hg38_IL27'], 'bio/DGA_DOID_8778_PLA2G1B_textmining': ['bio/hg19_PLA2G1B', 'bio/hg38_PLA2G1B'], 'bio/DGA_DOID_8778_RSAD2_textmining': ['bio/hg19_RSAD2', 'bio/hg38_RSAD2'], 'bio/DGA_DOID_8778_ADAMTS20_experiments': ['bio/hg19_ADAMTS20', 'bio/hg38_ADAMTS20'], 'bio/DGA_DOID_8778_TNFRSF10C_textmining': ['bio/hg19_TNFRSF10C', 'bio/hg38_TNFRSF10C'], 'bio/DGA_DOID_8778_STAC3_textmining': ['bio/hg19_STAC3', 'bio/hg38_STAC3'], 'bio/DGA_DOID_8778_LACC1_experiments': ['bio/hg19_LACC1', 'bio/hg38_LACC1'], 'bio/DGA_DOID_8778_TNFRSF10B_textmining': ['bio/hg19_TNFRSF10B', 'bio/hg38_TNFRSF10B'], 'bio/DGA_DOID_8778_C4A_textmining': ['bio/hg19_C4A', 'bio/hg38_C4A'], 'bio/DGA_DOID_8778_ACOT1_textmining': ['bio/hg19_ACOT1', 'bio/hg38_ACOT1'], 'bio/DGA_DOID_8778_GADD45A_textmining': ['bio/hg19_GADD45A', 'bio/hg38_GADD45A'], 'bio/DGA_DOID_8778_VAMP3_textmining': ['bio/hg19_VAMP3', 'bio/hg38_VAMP3'], 'bio/DGA_DOID_8778_ICOS_textmining': ['bio/hg19_ICOS', 'bio/hg38_ICOS'], 'bio/DGA_DOID_8778_CD63_textmining': ['bio/hg19_CD63', 'bio/hg38_CD63'], 'bio/DGA_DOID_8778_AP1S3_textmining': ['bio/hg19_AP1S3', 'bio/hg38_AP1S3'], 'bio/DGA_DOID_8778_AAMP_textmining': ['bio/hg19_AAMP', 'bio/hg38_AAMP'], 'bio/DGA_DOID_8778_hsa-miR-20b-5p_textmining': [], 'bio/DGA_DOID_8778_HIF1A_textmining': ['bio/hg19_HIF1A', 'bio/hg38_HIF1A'], 'bio/DGA_DOID_8778_FZD4_textmining': ['bio/hg19_FZD4', 'bio/hg38_FZD4'], 'bio/DGA_DOID_8778_CLCN3_textmining': ['bio/hg19_CLCN3', 'bio/hg38_CLCN3'], 'bio/DGA_DOID_8778_PDLIM2_textmining': ['bio/hg19_PDLIM2', 'bio/hg38_PDLIM2'], 'bio/DGA_DOID_8778_IFNGR2_textmining': ['bio/hg19_IFNGR2', 'bio/hg38_IFNGR2'], 'bio/DGA_DOID_8778_RNF130_textmining': ['bio/hg19_RNF130', 'bio/hg38_RNF130'], 'bio/DGA_DOID_8778_SREBF1_textmining': ['bio/hg19_SREBF1', 'bio/hg38_SREBF1'], 'bio/DGA_DOID_8778_ABCG2_textmining': ['bio/hg19_ABCG2', 'bio/hg38_ABCG2'], 'bio/DGA_DOID_8778_CCL3_textmining': ['bio/hg19_CCL3', 'bio/hg38_CCL3'], 'bio/DGA_DOID_8778_ARX_textmining': ['bio/hg19_ARX', 'bio/hg38_ARX'], 'bio/DGA_DOID_8778_MYL9_textmining': ['bio/hg19_MYL9', 'bio/hg38_MYL9'], 'bio/DGA_DOID_8778_EPG5_textmining': ['bio/hg19_EPG5', 'bio/hg38_EPG5'], 'bio/DGA_DOID_8778_TYK2_textmining': ['bio/hg19_TYK2', 'bio/hg38_TYK2'], 'bio/DGA_DOID_8778_CDH13_textmining': ['bio/hg19_CDH13', 'bio/hg38_CDH13'], 'bio/DGA_DOID_8778_NPC1L1_textmining': ['bio/hg19_NPC1L1', 'bio/hg38_NPC1L1'], 'bio/DGA_DOID_8778_TAS2R38_textmining': ['bio/hg19_TAS2R38', 'bio/hg38_TAS2R38'], 'bio/DGA_DOID_8778_HLA-C_textmining': ['bio/hg19_HLA-C', 'bio/hg38_HLA-C'], 'bio/DGA_DOID_8778_UBE2M_textmining': ['bio/hg19_UBE2M', 'bio/hg38_UBE2M'], 'bio/DGA_DOID_8778_NFAT5_textmining': ['bio/hg19_NFAT5', 'bio/hg38_NFAT5'], 'bio/DGA_DOID_8778_AXIN2_textmining': ['bio/hg19_AXIN2', 'bio/hg38_AXIN2'], 'bio/DGA_DOID_8778_PHOX2B_experiments': ['bio/hg19_PHOX2B', 'bio/hg38_PHOX2B'], 'bio/DGA_DOID_8778_PSRC1_textmining': ['bio/hg19_PSRC1', 'bio/hg38_PSRC1'], 'bio/DGA_DOID_8778_WDR78_experiments': ['bio/hg19_WDR78', 'bio/hg38_WDR78'], 'bio/DGA_DOID_8778_ENO1_textmining': ['bio/hg19_ENO1', 'bio/hg38_ENO1'], 'bio/DGA_DOID_8778_TJP2_textmining': ['bio/hg19_TJP2', 'bio/hg38_TJP2'], 'bio/DGA_DOID_8778_PADI3_textmining': ['bio/hg19_PADI3', 'bio/hg38_PADI3'], 'bio/DGA_DOID_8778_IGJ_textmining': ['bio/hg19_IGJ'], 'bio/DGA_DOID_8778_RGCC_textmining': ['bio/hg19_RGCC', 'bio/hg38_RGCC'], 'bio/DGA_DOID_8778_TSG101_textmining': ['bio/hg19_TSG101', 'bio/hg38_TSG101'], 'bio/DGA_DOID_8778_FOSL2_experiments': ['bio/hg19_FOSL2', 'bio/hg38_FOSL2'], 'bio/DGA_DOID_8778_DROSHA_textmining': ['bio/hg19_DROSHA', 'bio/hg38_DROSHA'], 'bio/DGA_DOID_8778_MS4A1_textmining': ['bio/hg19_MS4A1', 'bio/hg38_MS4A1'], 'bio/DGA_DOID_8778_TYK2_experiments': ['bio/hg19_TYK2', 'bio/hg38_TYK2'], 'bio/DGA_DOID_8778_CFHR4_textmining': ['bio/hg19_CFHR4', 'bio/hg38_CFHR4'], 'bio/DGA_DOID_8778_IL17RC_textmining': ['bio/hg19_IL17RC', 'bio/hg38_IL17RC'], 'bio/DGA_DOID_8778_ABCB4_textmining': ['bio/hg19_ABCB4', 'bio/hg38_ABCB4'], 'bio/DGA_DOID_8778_SNORD95_textmining': ['bio/hg19_SNORD95', 'bio/hg38_SNORD95'], 'bio/DGA_DOID_8778_GLI3_textmining': ['bio/hg19_GLI3', 'bio/hg38_GLI3'], 'bio/DGA_DOID_8778_ACE_textmining': ['bio/hg19_ACE', 'bio/hg38_ACE'], 'bio/DGA_DOID_8778_S1PR2_textmining': ['bio/hg19_S1PR2', 'bio/hg38_S1PR2'], 'bio/DGA_DOID_8778_APC_textmining': ['bio/hg19_APC', 'bio/hg38_APC'], 'bio/DGA_DOID_8778_SOX5_textmining': ['bio/hg19_SOX5', 'bio/hg38_SOX5'], 'bio/DGA_DOID_8778_AZU1_textmining': ['bio/hg19_AZU1', 'bio/hg38_AZU1'], 'bio/DGA_DOID_8778_ZIK1_textmining': ['bio/hg19_ZIK1', 'bio/hg38_ZIK1'], 'bio/DGA_DOID_8778_IKZF3_experiments': ['bio/hg19_IKZF3', 'bio/hg38_IKZF3'], 'bio/DGA_DOID_8778_CCL13_textmining': ['bio/hg19_CCL13', 'bio/hg38_CCL13'], 'bio/DGA_DOID_8778_SIK3_textmining': ['bio/hg19_SIK3', 'bio/hg38_SIK3'], 'bio/DGA_DOID_8778_NOG_textmining': ['bio/hg19_NOG', 'bio/hg38_NOG'], 'bio/DGA_DOID_8778_BHLHE22_textmining': ['bio/hg19_BHLHE22', 'bio/hg38_BHLHE22'], 'bio/DGA_DOID_8778_SLC5A1_textmining': ['bio/hg19_SLC5A1', 'bio/hg38_SLC5A1'], 'bio/DGA_DOID_8778_UBE4A_textmining': ['bio/hg19_UBE4A', 'bio/hg38_UBE4A'], 'bio/DGA_DOID_8778_MARVELD3_textmining': ['bio/hg19_MARVELD3', 'bio/hg38_MARVELD3'], 'bio/DGA_DOID_8778_IL17F_textmining': ['bio/hg19_IL17F', 'bio/hg38_IL17F'], 'bio/DGA_DOID_8778_WNT4_experiments': ['bio/hg19_WNT4', 'bio/hg38_WNT4'], 'bio/DGA_DOID_8778_NR5A2_textmining': ['bio/hg19_NR5A2', 'bio/hg38_NR5A2'], 'bio/DGA_DOID_8778_PHC3_textmining': ['bio/hg19_PHC3', 'bio/hg38_PHC3'], 'bio/DGA_DOID_8778_MEFV_textmining': ['bio/hg19_MEFV', 'bio/hg38_MEFV'], 'bio/DGA_DOID_8778_GP1BA_textmining': ['bio/hg19_GP1BA', 'bio/hg38_GP1BA'], 'bio/DGA_DOID_8778_CYP26B1_textmining': ['bio/hg19_CYP26B1', 'bio/hg38_CYP26B1'], 'bio/DGA_DOID_8778_MALRD1_textmining': ['bio/hg19_MALRD1', 'bio/hg38_MALRD1'], 'bio/DGA_DOID_8778_DEFA5_textmining': ['bio/hg19_DEFA5', 'bio/hg38_DEFA5'], 'bio/DGA_DOID_8778_RELA_textmining': ['bio/hg19_RELA', 'bio/hg38_RELA'], 'bio/DGA_DOID_8778_ADIPOQ_textmining': ['bio/hg19_ADIPOQ', 'bio/hg38_ADIPOQ'], 'bio/DGA_DOID_8778_RAVER2_textmining': ['bio/hg19_RAVER2', 'bio/hg38_RAVER2'], 'bio/DGA_DOID_8778_WIPI1_textmining': ['bio/hg19_WIPI1', 'bio/hg38_WIPI1'], 'bio/DGA_DOID_8778_DEFB104A_textmining': ['bio/hg19_DEFB104A', 'bio/hg38_DEFB104A'], 'bio/DGA_DOID_8778_ATG2A_textmining': ['bio/hg19_ATG2A', 'bio/hg38_ATG2A'], 'bio/DGA_DOID_8778_CD70_textmining': ['bio/hg19_CD70', 'bio/hg38_CD70'], 'bio/DGA_DOID_8778_MT1E_textmining': ['bio/hg19_MT1E', 'bio/hg38_MT1E'], 'bio/DGA_DOID_8778_CYSLTR2_textmining': ['bio/hg19_CYSLTR2', 'bio/hg38_CYSLTR2'], 'bio/DGA_DOID_8778_RPS27A_textmining': ['bio/hg19_RPS27A', 'bio/hg38_RPS27A'], 'bio/DGA_DOID_8778_ACADS_textmining': ['bio/hg19_ACADS', 'bio/hg38_ACADS'], 'bio/DGA_DOID_8778_OR13C5_textmining': ['bio/hg19_OR13C5', 'bio/hg38_OR13C5'], 'bio/DGA_DOID_8778_XIAP_textmining': ['bio/hg19_XIAP', 'bio/hg38_XIAP'], 'bio/DGA_DOID_8778_hsa-miR-143-3p_textmining': [], 'bio/DGA_DOID_8778_BATF_textmining': ['bio/hg19_BATF', 'bio/hg38_BATF'], 'bio/DGA_DOID_8778_EP300_experiments': ['bio/hg19_EP300', 'bio/hg38_EP300'], 'bio/DGA_DOID_8778_HLA-DOB_textmining': ['bio/hg19_HLA-DOB', 'bio/hg38_HLA-DOB'], 'bio/DGA_DOID_8778_FUNDC1_textmining': ['bio/hg19_FUNDC1', 'bio/hg38_FUNDC1'], 'bio/DGA_DOID_8778_IRF4_textmining': ['bio/hg19_IRF4', 'bio/hg38_IRF4'], 'bio/DGA_DOID_8778_FUT1_textmining': ['bio/hg19_FUT1', 'bio/hg38_FUT1'], 'bio/DGA_DOID_8778_hsa-miR-422a_textmining': [], 'bio/DGA_DOID_8778_GS1-24F4.2_textmining': ['bio/hg19_GS1-24F4.2', 'bio/hg38_GS1-24F4.2'], 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'bio/DGA_DOID_8778_OXT_textmining': ['bio/hg19_OXT', 'bio/hg38_OXT'], 'bio/DGA_DOID_8778_SF3B6_textmining': ['bio/hg19_SF3B6', 'bio/hg38_SF3B6'], 'bio/DGA_DOID_8778_VIL1_textmining': ['bio/hg19_VIL1', 'bio/hg38_VIL1'], 'bio/DGA_DOID_8778_ITIH1_textmining': ['bio/hg19_ITIH1', 'bio/hg38_ITIH1'], 'bio/DGA_DOID_8778_TOP1_textmining': ['bio/hg19_TOP1', 'bio/hg38_TOP1'], 'bio/DGA_DOID_8778_S100A8_textmining': ['bio/hg19_S100A8', 'bio/hg38_S100A8'], 'bio/DGA_DOID_8778_IL17A_textmining': ['bio/hg19_IL17A', 'bio/hg38_IL17A'], 'bio/DGA_DOID_8778_EIF2A_textmining': ['bio/hg19_EIF2A', 'bio/hg38_EIF2A'], 'bio/DGA_DOID_8778_ANPEP_textmining': ['bio/hg19_ANPEP', 'bio/hg38_ANPEP'], 'bio/DGA_DOID_8778_CDHR2_textmining': ['bio/hg19_CDHR2', 'bio/hg38_CDHR2'], 'bio/DGA_DOID_8778_PPL_textmining': ['bio/hg19_PPL', 'bio/hg38_PPL'], 'bio/DGA_DOID_8778_hsa-miR-125b-5p_textmining': [], 'bio/DGA_DOID_8778_MPO_textmining': ['bio/hg19_MPO', 'bio/hg38_MPO'], 'bio/DGA_DOID_8778_CD48_textmining': ['bio/hg19_CD48', 'bio/hg38_CD48'], 'bio/DGA_DOID_8778_HDAC4_textmining': ['bio/hg19_HDAC4', 'bio/hg38_HDAC4'], 'bio/DGA_DOID_8778_MYD88_textmining': ['bio/hg19_MYD88', 'bio/hg38_MYD88'], 'bio/DGA_DOID_8778_RHD_textmining': ['bio/hg19_RHD', 'bio/hg38_RHD'], 'bio/DGA_DOID_8778_C10orf54_textmining': ['bio/hg19_C10orf54'], 'bio/DGA_DOID_8778_FAM69A_textmining': ['bio/hg19_FAM69A', 'bio/hg38_FAM69A'], 'bio/DGA_DOID_8778_CLEC6A_textmining': ['bio/hg19_CLEC6A', 'bio/hg38_CLEC6A'], 'bio/DGA_DOID_8778_DEFB115_textmining': ['bio/hg19_DEFB115', 'bio/hg38_DEFB115'], 'bio/DGA_DOID_8778_SLCO4A1_textmining': ['bio/hg19_SLCO4A1', 'bio/hg38_SLCO4A1'], 'bio/DGA_DOID_8778_JAK2_experiments': ['bio/hg19_JAK2', 'bio/hg38_JAK2'], 'bio/DGA_DOID_8778_hsa-miR-326_textmining': [], 'bio/DGA_DOID_8778_P2RY2_textmining': ['bio/hg19_P2RY2', 'bio/hg38_P2RY2'], 'bio/DGA_DOID_8778_SLC9A3R2_textmining': ['bio/hg19_SLC9A3R2', 'bio/hg38_SLC9A3R2'], 'bio/DGA_DOID_8778_OR5D13_textmining': ['bio/hg19_OR5D13', 'bio/hg38_OR5D13'], 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'bio/DGA_DOID_8778_FABP1_textmining': ['bio/hg19_FABP1', 'bio/hg38_FABP1'], 'bio/DGA_DOID_8778_SSTR1_textmining': ['bio/hg19_SSTR1', 'bio/hg38_SSTR1'], 'bio/DGA_DOID_8778_KDM6B_textmining': ['bio/hg19_KDM6B', 'bio/hg38_KDM6B'], 'bio/DGA_DOID_8778_CHRM2_textmining': ['bio/hg19_CHRM2', 'bio/hg38_CHRM2'], 'bio/DGA_DOID_8778_LIPC_textmining': ['bio/hg19_LIPC', 'bio/hg38_LIPC'], 'bio/DGA_DOID_8778_ZMIZ1_experiments': ['bio/hg19_ZMIZ1', 'bio/hg38_ZMIZ1'], 'bio/DGA_DOID_8778_RHOJ_textmining': ['bio/hg19_RHOJ', 'bio/hg38_RHOJ'], 'bio/DGA_DOID_8778_GABARAPL1_textmining': ['bio/hg19_GABARAPL1', 'bio/hg38_GABARAPL1'], 'bio/DGA_DOID_8778_FGF10_textmining': ['bio/hg19_FGF10', 'bio/hg38_FGF10'], 'bio/DGA_DOID_8778_SH3GL1_textmining': ['bio/hg19_SH3GL1', 'bio/hg38_SH3GL1'], 'bio/DGA_DOID_8778_ZBTB44_textmining': ['bio/hg19_ZBTB44', 'bio/hg38_ZBTB44'], 'bio/DGA_DOID_8778_C11orf30_textmining': ['bio/hg19_C11orf30'], 'bio/DGA_DOID_8778_FLNA_textmining': ['bio/hg19_FLNA', 'bio/hg38_FLNA'], 'bio/DGA_DOID_8778_RAB1A_textmining': ['bio/hg19_RAB1A', 'bio/hg38_RAB1A'], 'bio/DGA_DOID_8778_DEFB107A_textmining': ['bio/hg19_DEFB107A', 'bio/hg38_DEFB107A'], 'bio/DGA_DOID_8778_FGFR1OP_experiments': ['bio/hg19_FGFR1OP', 'bio/hg38_FGFR1OP'], 'bio/DGA_DOID_8778_STS_textmining': ['bio/hg19_STS', 'bio/hg38_STS'], 'bio/DGA_DOID_8778_ANKRD55_textmining': ['bio/hg19_ANKRD55', 'bio/hg38_ANKRD55'], 'bio/DGA_DOID_8778_CAMP_textmining': ['bio/hg19_CAMP', 'bio/hg38_CAMP'], 'bio/DGA_DOID_8778_TBKBP1_textmining': ['bio/hg19_TBKBP1', 'bio/hg38_TBKBP1'], 'bio/DGA_DOID_8778_OCA2_textmining': ['bio/hg19_OCA2', 'bio/hg38_OCA2'], 'bio/DGA_DOID_8778_CARD11_textmining': ['bio/hg19_CARD11', 'bio/hg38_CARD11'], 'bio/DGA_DOID_8778_SCARF1_textmining': ['bio/hg19_SCARF1', 'bio/hg38_SCARF1'], 'bio/DGA_DOID_8778_SLC29A2_textmining': ['bio/hg19_SLC29A2', 'bio/hg38_SLC29A2'], 'bio/DGA_DOID_8778_SERPINA1_textmining': ['bio/hg19_SERPINA1', 'bio/hg38_SERPINA1'], 'bio/DGA_DOID_8778_CYBA_textmining': ['bio/hg19_CYBA', 'bio/hg38_CYBA'], 'bio/DGA_DOID_8778_COL1A2_textmining': ['bio/hg19_COL1A2', 'bio/hg38_COL1A2'], 'bio/DGA_DOID_8778_METTL13_textmining': ['bio/hg19_METTL13', 'bio/hg38_METTL13'], 'bio/DGA_DOID_8778_CD27_textmining': ['bio/hg19_CD27', 'bio/hg38_CD27'], 'bio/DGA_DOID_8778_CD86_textmining': ['bio/hg19_CD86', 'bio/hg38_CD86'], 'bio/DGA_DOID_8778_CCT3_textmining': ['bio/hg19_CCT3', 'bio/hg38_CCT3'], 'bio/DGA_DOID_8778_FLT4_textmining': ['bio/hg19_FLT4', 'bio/hg38_FLT4'], 'bio/DGA_DOID_8778_C8orf74_textmining': ['bio/hg19_C8orf74', 'bio/hg38_C8orf74'], 'bio/DGA_DOID_8778_CYCS_textmining': ['bio/hg19_CYCS', 'bio/hg38_CYCS'], 'bio/DGA_DOID_8778_TMEM183A_textmining': ['bio/hg19_TMEM183A', 'bio/hg38_TMEM183A'], 'bio/DGA_DOID_8778_SLC30A10_textmining': ['bio/hg19_SLC30A10', 'bio/hg38_SLC30A10'], 'bio/DGA_DOID_8778_C10orf76_textmining': ['bio/hg19_C10orf76'], 'bio/DGA_DOID_8778_WDR45_textmining': ['bio/hg19_WDR45', 'bio/hg38_WDR45'], 'bio/DGA_DOID_8778_PNPLA2_textmining': ['bio/hg19_PNPLA2', 'bio/hg38_PNPLA2'], 'bio/DGA_DOID_8778_RB1_textmining': ['bio/hg19_RB1', 'bio/hg38_RB1'], 'bio/DGA_DOID_8778_DUOX1_textmining': ['bio/hg19_DUOX1', 'bio/hg38_DUOX1'], 'bio/DGA_DOID_8778_ENSP00000261789_textmining': [], 'bio/DGA_DOID_8778_KCNK16_textmining': ['bio/hg19_KCNK16', 'bio/hg38_KCNK16'], 'bio/DGA_DOID_8778_CHD7_textmining': ['bio/hg19_CHD7', 'bio/hg38_CHD7'], 'bio/DGA_DOID_8778_GPR35_experiments': ['bio/hg19_GPR35', 'bio/hg38_GPR35'], 'bio/DGA_DOID_8778_CYP4F3_textmining': ['bio/hg19_CYP4F3', 'bio/hg38_CYP4F3'], 'bio/DGA_DOID_8778_STAU1_textmining': ['bio/hg19_STAU1', 'bio/hg38_STAU1'], 'bio/DGA_DOID_8778_ENSP00000387760_textmining': [], 'bio/DGA_DOID_8778_hsa-miR-345-5p_textmining': [], 'bio/DGA_DOID_8778_MRPL19_textmining': ['bio/hg19_MRPL19', 'bio/hg38_MRPL19'], 'bio/DGA_DOID_8778_OR51F2_textmining': ['bio/hg19_OR51F2', 'bio/hg38_OR51F2'], 'bio/DGA_DOID_8778_SEPT9_textmining': ['bio/hg19_SEPT9', 'bio/hg38_SEPT9'], 'bio/DGA_DOID_8778_EDEM1_textmining': ['bio/hg19_EDEM1', 'bio/hg38_EDEM1'], 'bio/DGA_DOID_8778_hsa-miR-130a-3p_textmining': [], 'bio/DGA_DOID_8778_PTPRK_textmining': ['bio/hg19_PTPRK', 'bio/hg38_PTPRK'], 'bio/DGA_DOID_8778_NAAA_textmining': ['bio/hg19_NAAA', 'bio/hg38_NAAA'], 'bio/DGA_DOID_8778_ITLN1_experiments': ['bio/hg19_ITLN1', 'bio/hg38_ITLN1'], 'bio/DGA_DOID_8778_KPNA1_textmining': ['bio/hg19_KPNA1', 'bio/hg38_KPNA1'], 'bio/DGA_DOID_8778_AMT_experiments': ['bio/hg19_AMT', 'bio/hg38_AMT'], 'bio/DGA_DOID_8778_MB_textmining': ['bio/hg19_MB', 'bio/hg38_MB'], 'bio/DGA_DOID_8778_LUM_textmining': ['bio/hg19_LUM', 'bio/hg38_LUM'], 'bio/DGA_DOID_8778_TRU-TCA1_textmining': [], 'bio/DGA_DOID_8778_GLUL_textmining': ['bio/hg19_GLUL', 'bio/hg38_GLUL'], 'bio/DGA_DOID_8778_JAK2_textmining': ['bio/hg19_JAK2', 'bio/hg38_JAK2'], 'bio/DGA_DOID_8778_PODXL_textmining': ['bio/hg19_PODXL', 'bio/hg38_PODXL'], 'bio/DGA_DOID_8778_SMARCA4_textmining': ['bio/hg19_SMARCA4', 'bio/hg38_SMARCA4'], 'bio/DGA_DOID_8778_CREB3L4_textmining': ['bio/hg19_CREB3L4', 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'bio/hg38_CREB1'], 'bio/DGA_DOID_8778_NRG4_textmining': ['bio/hg19_NRG4', 'bio/hg38_NRG4'], 'bio/DGA_DOID_8778_CXCR3_textmining': ['bio/hg19_CXCR3', 'bio/hg38_CXCR3'], 'bio/DGA_DOID_8778_TGFBR2_textmining': ['bio/hg19_TGFBR2', 'bio/hg38_TGFBR2'], 'bio/DGA_DOID_8778_TFF1_textmining': ['bio/hg19_TFF1', 'bio/hg38_TFF1'], 'bio/DGA_DOID_8778_AUTS2_textmining': ['bio/hg19_AUTS2', 'bio/hg38_AUTS2'], 'bio/DGA_DOID_8778_TPM1_textmining': ['bio/hg19_TPM1', 'bio/hg38_TPM1'], 'bio/DGA_DOID_8778_KLRK1_textmining': ['bio/hg19_KLRK1', 'bio/hg38_KLRK1'], 'bio/DGA_DOID_8778_IL12B_experiments': ['bio/hg19_IL12B', 'bio/hg38_IL12B'], 'bio/DGA_DOID_8778_LTA4H_textmining': ['bio/hg19_LTA4H', 'bio/hg38_LTA4H'], 'bio/DGA_DOID_8778_SLC39A14_textmining': ['bio/hg19_SLC39A14', 'bio/hg38_SLC39A14'], 'bio/DGA_DOID_8778_CYP27A1_textmining': ['bio/hg19_CYP27A1', 'bio/hg38_CYP27A1'], 'bio/DGA_DOID_8778_SPINK5_textmining': ['bio/hg19_SPINK5', 'bio/hg38_SPINK5'], 'bio/DGA_DOID_8778_SLK_textmining': ['bio/hg19_SLK', 'bio/hg38_SLK'], 'bio/DGA_DOID_8778_DHX9_textmining': ['bio/hg19_DHX9', 'bio/hg38_DHX9'], 'bio/DGA_DOID_8778_NOTCH4_experiments': ['bio/hg19_NOTCH4', 'bio/hg38_NOTCH4'], 'bio/DGA_DOID_8778_AL928742.12_textmining': [], 'bio/DGA_DOID_8778_ADORA2A_textmining': ['bio/hg19_ADORA2A', 'bio/hg38_ADORA2A'], 'bio/DGA_DOID_8778_TNFRSF4_textmining': ['bio/hg19_TNFRSF4', 'bio/hg38_TNFRSF4'], 'bio/DGA_DOID_8778_FGFR2_textmining': ['bio/hg19_FGFR2', 'bio/hg38_FGFR2'], 'bio/DGA_DOID_8778_ADCY5_textmining': ['bio/hg19_ADCY5', 'bio/hg38_ADCY5'], 'bio/DGA_DOID_8778_PDHX_textmining': ['bio/hg19_PDHX', 'bio/hg38_PDHX'], 'bio/DGA_DOID_8778_PLAU_experiments': ['bio/hg19_PLAU', 'bio/hg38_PLAU'], 'bio/DGA_DOID_8778_CCL3L3_textmining': ['bio/hg19_CCL3L3', 'bio/hg38_CCL3L3'], 'bio/DGA_DOID_8778_TIMP2_textmining': ['bio/hg19_TIMP2', 'bio/hg38_TIMP2'], 'bio/DGA_DOID_8778_CLEC5A_textmining': ['bio/hg19_CLEC5A', 'bio/hg38_CLEC5A'], 'bio/DGA_DOID_8778_FGF2_textmining': ['bio/hg19_FGF2', 'bio/hg38_FGF2'], 'bio/DGA_DOID_8778_SLAIN2_experiments': ['bio/hg19_SLAIN2', 'bio/hg38_SLAIN2'], 'bio/DGA_DOID_8778_NGFR_textmining': ['bio/hg19_NGFR', 'bio/hg38_NGFR'], 'bio/DGA_DOID_8778_RPS6KB1_textmining': ['bio/hg19_RPS6KB1', 'bio/hg38_RPS6KB1'], 'bio/DGA_DOID_8778_TNFSF15_experiments': ['bio/hg19_TNFSF15', 'bio/hg38_TNFSF15'], 'bio/DGA_DOID_8778_NOXA1_textmining': ['bio/hg19_NOXA1', 'bio/hg38_NOXA1'], 'bio/DGA_DOID_8778_DUSP12_textmining': ['bio/hg19_DUSP12', 'bio/hg38_DUSP12'], 'bio/DGA_DOID_8778_HTT_textmining': ['bio/hg19_HTT', 'bio/hg38_HTT'], 'bio/DGA_DOID_8778_UGT1A8_textmining': ['bio/hg19_UGT1A8', 'bio/hg38_UGT1A8'], 'bio/DGA_DOID_8778_BSN_experiments': ['bio/hg19_BSN', 'bio/hg38_BSN'], 'bio/DGA_DOID_8778_S100A9_textmining': ['bio/hg19_S100A9', 'bio/hg38_S100A9'], 'bio/DGA_DOID_8778_GPR68_textmining': ['bio/hg19_GPR68', 'bio/hg38_GPR68'], 'bio/DGA_DOID_8778_CD4_textmining': ['bio/hg19_CD4', 'bio/hg38_CD4'], 'bio/DGA_DOID_8778_KDR_textmining': ['bio/hg19_KDR', 'bio/hg38_KDR'], 'bio/DGA_DOID_8778_PIP4K2C_textmining': ['bio/hg19_PIP4K2C', 'bio/hg38_PIP4K2C'], 'bio/DGA_DOID_8778_BDH1_textmining': ['bio/hg19_BDH1', 'bio/hg38_BDH1'], 'bio/DGA_DOID_8778_NUDT3_textmining': ['bio/hg19_NUDT3', 'bio/hg38_NUDT3'], 'bio/DGA_DOID_8778_TNFRSF10D_textmining': ['bio/hg19_TNFRSF10D', 'bio/hg38_TNFRSF10D'], 'bio/DGA_DOID_8778_PHACTR1_textmining': ['bio/hg19_PHACTR1', 'bio/hg38_PHACTR1'], 'bio/DGA_DOID_8778_LPA_textmining': ['bio/hg19_LPA', 'bio/hg38_LPA'], 'bio/DGA_DOID_8778_IL31_textmining': ['bio/hg19_IL31', 'bio/hg38_IL31'], 'bio/DGA_DOID_8778_ACKR1_textmining': ['bio/hg19_ACKR1', 'bio/hg38_ACKR1'], 'bio/DGA_DOID_8778_IDH1_textmining': ['bio/hg19_IDH1', 'bio/hg38_IDH1'], 'bio/DGA_DOID_8778_HNF1B_textmining': ['bio/hg19_HNF1B', 'bio/hg38_HNF1B'], 'bio/DGA_DOID_8778_VCAM1_textmining': ['bio/hg19_VCAM1', 'bio/hg38_VCAM1'], 'bio/DGA_DOID_8778_TCF7L2_textmining': ['bio/hg19_TCF7L2', 'bio/hg38_TCF7L2'], 'bio/DGA_DOID_8778_RPS13_textmining': ['bio/hg19_RPS13', 'bio/hg38_RPS13'], 'bio/DGA_DOID_8778_TES_textmining': ['bio/hg19_TES', 'bio/hg38_TES'], 'bio/DGA_DOID_8778_TNFSF4_textmining': ['bio/hg19_TNFSF4', 'bio/hg38_TNFSF4'], 'bio/DGA_DOID_8778_PROCR_textmining': ['bio/hg19_PROCR', 'bio/hg38_PROCR'], 'bio/DGA_DOID_8778_AGTR1_textmining': ['bio/hg19_AGTR1', 'bio/hg38_AGTR1'], 'bio/DGA_DOID_8778_NFE2_textmining': ['bio/hg19_NFE2', 'bio/hg38_NFE2'], 'bio/DGA_DOID_8778_TNPO3_textmining': ['bio/hg19_TNPO3', 'bio/hg38_TNPO3'], 'bio/DGA_DOID_8778_CTSA_textmining': ['bio/hg19_CTSA', 'bio/hg38_CTSA'], 'bio/DGA_DOID_8778_BRCA1_textmining': ['bio/hg19_BRCA1', 'bio/hg38_BRCA1'], 'bio/DGA_DOID_8778_DUOX2_textmining': ['bio/hg19_DUOX2', 'bio/hg38_DUOX2'], 'bio/DGA_DOID_8778_NKX2-3_experiments': ['bio/hg19_NKX2-3', 'bio/hg38_NKX2-3'], 'bio/DGA_DOID_8778_DNMT3A_textmining': ['bio/hg19_DNMT3A', 'bio/hg38_DNMT3A'], 'bio/DGA_DOID_8778_SGTA_textmining': ['bio/hg19_SGTA', 'bio/hg38_SGTA'], 'bio/DGA_DOID_8778_TMEM174_experiments': ['bio/hg19_TMEM174', 'bio/hg38_TMEM174'], 'bio/DGA_DOID_8778_IRF6_textmining': ['bio/hg19_IRF6', 'bio/hg38_IRF6'], 'bio/DGA_DOID_8778_DAPK1_textmining': ['bio/hg19_DAPK1', 'bio/hg38_DAPK1'], 'bio/DGA_DOID_8778_LPCAT3_textmining': ['bio/hg19_LPCAT3', 'bio/hg38_LPCAT3'], 'bio/DGA_DOID_8778_BIN3_textmining': ['bio/hg19_BIN3', 'bio/hg38_BIN3'], 'bio/DGA_DOID_8778_CYP19A1_textmining': ['bio/hg19_CYP19A1', 'bio/hg38_CYP19A1'], 'bio/DGA_DOID_8778_ITGA6_textmining': ['bio/hg19_ITGA6', 'bio/hg38_ITGA6'], 'bio/DGA_DOID_8778_TM9SF4_experiments': ['bio/hg19_TM9SF4', 'bio/hg38_TM9SF4'], 'bio/DGA_DOID_8778_NBR1_textmining': ['bio/hg19_NBR1', 'bio/hg38_NBR1'], 'bio/DGA_DOID_8778_BMI1_textmining': ['bio/hg19_BMI1', 'bio/hg38_BMI1'], 'bio/DGA_DOID_8778_KLF6_textmining': ['bio/hg19_KLF6', 'bio/hg38_KLF6'], 'bio/DGA_DOID_8778_EEA1_textmining': ['bio/hg19_EEA1', 'bio/hg38_EEA1'], 'bio/DGA_DOID_8778_FZD1_textmining': ['bio/hg19_FZD1', 'bio/hg38_FZD1'], 'bio/DGA_DOID_8778_IL1R1_textmining': ['bio/hg19_IL1R1', 'bio/hg38_IL1R1'], 'bio/DGA_DOID_8778_C10orf90_textmining': ['bio/hg19_C10orf90', 'bio/hg38_C10orf90'], 'bio/DGA_DOID_8778_IL12B_knowledge': ['bio/hg19_IL12B', 'bio/hg38_IL12B'], 'bio/DGA_DOID_8778_HGS_textmining': ['bio/hg19_HGS', 'bio/hg38_HGS'], 'bio/DGA_DOID_8778_KLHL6_textmining': ['bio/hg19_KLHL6', 'bio/hg38_KLHL6'], 'bio/DGA_DOID_8778_TNFRSF11B_textmining': ['bio/hg19_TNFRSF11B', 'bio/hg38_TNFRSF11B'], 'bio/DGA_DOID_8778_MALT1_textmining': ['bio/hg19_MALT1', 'bio/hg38_MALT1'], 'bio/DGA_DOID_8778_GIG25_textmining': [], 'bio/DGA_DOID_8778_PTPN2_textmining': ['bio/hg19_PTPN2', 'bio/hg38_PTPN2'], 'bio/DGA_DOID_8778_SLC38A4_textmining': ['bio/hg19_SLC38A4', 'bio/hg38_SLC38A4'], 'bio/DGA_DOID_8778_ACAP1_textmining': ['bio/hg19_ACAP1', 'bio/hg38_ACAP1'], 'bio/DGA_DOID_8778_SLC25A16_textmining': ['bio/hg19_SLC25A16', 'bio/hg38_SLC25A16'], 'bio/DGA_DOID_8778_CORO1A_textmining': ['bio/hg19_CORO1A', 'bio/hg38_CORO1A'], 'bio/DGA_DOID_8778_BAZ2A_textmining': ['bio/hg19_BAZ2A', 'bio/hg38_BAZ2A'], 'bio/DGA_DOID_8778_SIRT2_textmining': ['bio/hg19_SIRT2', 'bio/hg38_SIRT2'], 'bio/DGA_DOID_8778_OTUD3_textmining': ['bio/hg19_OTUD3', 'bio/hg38_OTUD3'], 'bio/DGA_DOID_8778_IRF7_textmining': ['bio/hg19_IRF7', 'bio/hg38_IRF7'], 'bio/DGA_DOID_8778_MYH10_textmining': ['bio/hg19_MYH10', 'bio/hg38_MYH10'], 'bio/DGA_DOID_8778_IGF1R_textmining': ['bio/hg19_IGF1R', 'bio/hg38_IGF1R'], 'bio/DGA_DOID_8778_MPZL3_textmining': ['bio/hg19_MPZL3', 'bio/hg38_MPZL3'], 'bio/DGA_DOID_8778_DPPA3_textmining': ['bio/hg19_DPPA3', 'bio/hg38_DPPA3'], 'bio/DGA_DOID_8778_USP2_textmining': ['bio/hg19_USP2', 'bio/hg38_USP2'], 'bio/DGA_DOID_8778_OPRD1_textmining': ['bio/hg19_OPRD1', 'bio/hg38_OPRD1'], 'bio/DGA_DOID_8778_CARD6_textmining': ['bio/hg19_CARD6', 'bio/hg38_CARD6'], 'bio/DGA_DOID_8778_ZPBP2_experiments': ['bio/hg19_ZPBP2', 'bio/hg38_ZPBP2'], 'bio/DGA_DOID_8778_BCL2L10_textmining': ['bio/hg19_BCL2L10', 'bio/hg38_BCL2L10'], 'bio/DGA_DOID_8778_MAP3K8_textmining': ['bio/hg19_MAP3K8', 'bio/hg38_MAP3K8'], 'bio/DGA_DOID_8778_CCL7_textmining': ['bio/hg19_CCL7', 'bio/hg38_CCL7'], 'bio/DGA_DOID_8778_MED28_textmining': ['bio/hg19_MED28', 'bio/hg38_MED28'], 'bio/DGA_DOID_8778_TXNRD1_textmining': ['bio/hg19_TXNRD1', 'bio/hg38_TXNRD1'], 'bio/DGA_DOID_8778_OPRM1_textmining': ['bio/hg19_OPRM1', 'bio/hg38_OPRM1'], 'bio/DGA_DOID_8778_EDN1_textmining': ['bio/hg19_EDN1', 'bio/hg38_EDN1'], 'bio/DGA_DOID_8778_CUL3_textmining': ['bio/hg19_CUL3', 'bio/hg38_CUL3'], 'bio/DGA_DOID_8778_ARNTL_textmining': ['bio/hg19_ARNTL', 'bio/hg38_ARNTL'], 'bio/DGA_DOID_8778_hsa-miR-196b-5p_textmining': [], 'bio/DGA_DOID_8778_ADCY3_textmining': ['bio/hg19_ADCY3', 'bio/hg38_ADCY3'], 'bio/DGA_DOID_8778_BNIP3_textmining': ['bio/hg19_BNIP3', 'bio/hg38_BNIP3'], 'bio/DGA_DOID_8778_HORMAD2_textmining': ['bio/hg19_HORMAD2', 'bio/hg38_HORMAD2'], 'bio/DGA_DOID_8778_PPBP_textmining': ['bio/hg19_PPBP', 'bio/hg38_PPBP'], 'bio/DGA_DOID_8778_CEP72_experiments': ['bio/hg19_CEP72', 'bio/hg38_CEP72'], 'bio/DGA_DOID_8778_TBC1D3A_textmining': [], 'bio/DGA_DOID_8778_CXCL12_textmining': ['bio/hg19_CXCL12', 'bio/hg38_CXCL12'], 'bio/DGA_DOID_8778_NPBWR1_textmining': ['bio/hg19_NPBWR1', 'bio/hg38_NPBWR1'], 'bio/DGA_DOID_8778_PMAIP1_textmining': ['bio/hg19_PMAIP1', 'bio/hg38_PMAIP1'], 'bio/DGA_DOID_8778_HDGF_textmining': ['bio/hg19_HDGF', 'bio/hg38_HDGF'], 'bio/DGA_DOID_8778_STX17_textmining': ['bio/hg19_STX17', 'bio/hg38_STX17'], 'bio/DGA_DOID_8778_NFIL3_textmining': ['bio/hg19_NFIL3', 'bio/hg38_NFIL3'], 'bio/DGA_DOID_8778_IFNAR2_textmining': ['bio/hg19_IFNAR2', 'bio/hg38_IFNAR2'], 'bio/DGA_DOID_8778_DLAT_textmining': ['bio/hg19_DLAT', 'bio/hg38_DLAT'], 'bio/DGA_DOID_8778_CFB_textmining': ['bio/hg19_CFB', 'bio/hg38_CFB'], 'bio/DGA_DOID_8778_STX8_textmining': ['bio/hg19_STX8', 'bio/hg38_STX8'], 'bio/DGA_DOID_8778_HPGDS_textmining': ['bio/hg19_HPGDS', 'bio/hg38_HPGDS'], 'bio/DGA_DOID_8778_SEMA3F_textmining': ['bio/hg19_SEMA3F', 'bio/hg38_SEMA3F'], 'bio/DGA_DOID_8778_PTGER2_textmining': ['bio/hg19_PTGER2', 'bio/hg38_PTGER2'], 'bio/DGA_DOID_8778_MYOCD_textmining': ['bio/hg19_MYOCD', 'bio/hg38_MYOCD'], 'bio/DGA_DOID_8778_CD163_textmining': ['bio/hg19_CD163', 'bio/hg38_CD163'], 'bio/DGA_DOID_8778_REG1B_textmining': ['bio/hg19_REG1B', 'bio/hg38_REG1B'], 'bio/DGA_DOID_8778_ASPA_textmining': ['bio/hg19_ASPA', 'bio/hg38_ASPA'], 'bio/DGA_DOID_8778_UGDH_textmining': ['bio/hg19_UGDH', 'bio/hg38_UGDH'], 'bio/DGA_DOID_8778_hsa-miR-103a-2-5p_textmining': [], 'bio/DGA_DOID_8778_CTSC_textmining': ['bio/hg19_CTSC', 'bio/hg38_CTSC'], 'bio/DGA_DOID_8778_ITIH2_textmining': ['bio/hg19_ITIH2', 'bio/hg38_ITIH2'], 'bio/DGA_DOID_8778_FIBP_experiments': ['bio/hg19_FIBP', 'bio/hg38_FIBP'], 'bio/DGA_DOID_8778_PNLIP_textmining': ['bio/hg19_PNLIP', 'bio/hg38_PNLIP'], 'bio/DGA_DOID_8778_PSMG1_textmining': ['bio/hg19_PSMG1', 'bio/hg38_PSMG1'], 'bio/DGA_DOID_8778_CPXM1_textmining': ['bio/hg19_CPXM1', 'bio/hg38_CPXM1'], 'bio/DGA_DOID_8778_GPA33_textmining': ['bio/hg19_GPA33', 'bio/hg38_GPA33'], 'bio/DGA_DOID_8778_MARCH1_textmining': ['bio/hg19_MARCH1', 'bio/hg38_MARCH1'], 'bio/DGA_DOID_8778_LYVE1_textmining': ['bio/hg19_LYVE1', 'bio/hg38_LYVE1'], 'bio/DGA_DOID_8778_NFYA_textmining': ['bio/hg19_NFYA', 'bio/hg38_NFYA'], 'bio/DGA_DOID_8778_THEMIS_textmining': ['bio/hg19_THEMIS', 'bio/hg38_THEMIS'], 'bio/DGA_DOID_8778_TMBIM6_textmining': ['bio/hg19_TMBIM6', 'bio/hg38_TMBIM6'], 'bio/DGA_DOID_8778_IRF2BP1_textmining': ['bio/hg19_IRF2BP1', 'bio/hg38_IRF2BP1'], 'bio/DGA_DOID_8778_GRB2_textmining': ['bio/hg19_GRB2', 'bio/hg38_GRB2'], 'bio/DGA_DOID_8778_FPR1_textmining': ['bio/hg19_FPR1', 'bio/hg38_FPR1'], 'bio/DGA_DOID_8778_SLTM_textmining': ['bio/hg19_SLTM', 'bio/hg38_SLTM'], 'bio/DGA_DOID_8778_GGTLC3_textmining': ['bio/hg19_GGTLC3', 'bio/hg38_GGTLC3'], 'bio/DGA_DOID_8778_LITAF_textmining': ['bio/hg19_LITAF', 'bio/hg38_LITAF'], 'bio/DGA_DOID_8778_RNF114_textmining': ['bio/hg19_RNF114', 'bio/hg38_RNF114'], 'bio/DGA_DOID_8778_IL23R_knowledge': ['bio/hg19_IL23R', 'bio/hg38_IL23R'], 'bio/DGA_DOID_8778_ADAMTS7_textmining': ['bio/hg19_ADAMTS7', 'bio/hg38_ADAMTS7'], 'bio/DGA_DOID_8778_MASP2_textmining': ['bio/hg19_MASP2', 'bio/hg38_MASP2'], 'bio/DGA_DOID_8778_RAB40AL_textmining': ['bio/hg19_RAB40AL', 'bio/hg38_RAB40AL'], 'bio/DGA_DOID_8778_TAOK3_textmining': ['bio/hg19_TAOK3', 'bio/hg38_TAOK3'], 'bio/DGA_DOID_8778_CCL20_textmining': ['bio/hg19_CCL20', 'bio/hg38_CCL20'], 'bio/DGA_DOID_8778_AREG_textmining': ['bio/hg19_AREG', 'bio/hg38_AREG'], 'bio/DGA_DOID_8778_GIMAP5_textmining': ['bio/hg19_GIMAP5', 'bio/hg38_GIMAP5'], 'bio/DGA_DOID_8778_MGLL_textmining': ['bio/hg19_MGLL', 'bio/hg38_MGLL'], 'bio/DGA_DOID_8778_NOD2_knowledge': ['bio/hg19_NOD2', 'bio/hg38_NOD2'], 'bio/DGA_DOID_8778_IRX5_textmining': ['bio/hg19_IRX5', 'bio/hg38_IRX5'], 'bio/DGA_DOID_8778_PEPD_textmining': ['bio/hg19_PEPD', 'bio/hg38_PEPD'], 'bio/DGA_DOID_8778_GBP7_textmining': ['bio/hg19_GBP7', 'bio/hg38_GBP7'], 'bio/DGA_DOID_8778_USP18_textmining': ['bio/hg19_USP18', 'bio/hg38_USP18'], 'bio/DGA_DOID_8778_NOS1AP_textmining': ['bio/hg19_NOS1AP', 'bio/hg38_NOS1AP'], 'bio/DGA_DOID_8778_MAP2K5_textmining': ['bio/hg19_MAP2K5', 'bio/hg38_MAP2K5'], 'bio/DGA_DOID_8778_COG2_textmining': ['bio/hg19_COG2', 'bio/hg38_COG2'], 'bio/DGA_DOID_8778_ADAMTS4_textmining': ['bio/hg19_ADAMTS4', 'bio/hg38_ADAMTS4'], 'bio/DGA_DOID_8778_XPNPEP1_textmining': ['bio/hg19_XPNPEP1', 'bio/hg38_XPNPEP1'], 'bio/DGA_DOID_8778_NRIP1_textmining': ['bio/hg19_NRIP1', 'bio/hg38_NRIP1'], 'bio/DGA_DOID_8778_LILRB3_textmining': ['bio/hg19_LILRB3', 'bio/hg38_LILRB3'], 'bio/DGA_DOID_8778_SCD_textmining': ['bio/hg19_SCD', 'bio/hg38_SCD'], 'bio/DGA_DOID_8778_APOBEC3G_textmining': ['bio/hg19_APOBEC3G', 'bio/hg38_APOBEC3G'], 'bio/DGA_DOID_8778_PCSK5_textmining': ['bio/hg19_PCSK5', 'bio/hg38_PCSK5'], 'bio/DGA_DOID_8778_CCND1_textmining': ['bio/hg19_CCND1', 'bio/hg38_CCND1'], 'bio/DGA_DOID_8778_NRBF2_textmining': ['bio/hg19_NRBF2', 'bio/hg38_NRBF2'], 'bio/DGA_DOID_8778_HLA-DRB1_knowledge': ['bio/hg19_HLA-DRB1', 'bio/hg38_HLA-DRB1'], 'bio/DGA_DOID_8778_CD300E_textmining': ['bio/hg19_CD300E', 'bio/hg38_CD300E'], 'bio/DGA_DOID_8778_hsa-miR-27b-3p_textmining': [], 'bio/DGA_DOID_8778_MMP13_textmining': ['bio/hg19_MMP13', 'bio/hg38_MMP13'], 'bio/DGA_DOID_8778_HAVCR2_textmining': ['bio/hg19_HAVCR2', 'bio/hg38_HAVCR2'], 'bio/DGA_DOID_8778_CXCL3_textmining': ['bio/hg19_CXCL3', 'bio/hg38_CXCL3'], 'bio/DGA_DOID_8778_IFIT3_textmining': ['bio/hg19_IFIT3', 'bio/hg38_IFIT3'], 'bio/DGA_DOID_8778_SNRNP70_textmining': ['bio/hg19_SNRNP70', 'bio/hg38_SNRNP70'], 'bio/DGA_DOID_8778_ATF6_textmining': ['bio/hg19_ATF6', 'bio/hg38_ATF6'], 'bio/DGA_DOID_8778_PLEKHH1_textmining': ['bio/hg19_PLEKHH1', 'bio/hg38_PLEKHH1'], 'bio/DGA_DOID_8778_HTR1A_textmining': ['bio/hg19_HTR1A', 'bio/hg38_HTR1A'], 'bio/DGA_DOID_8778_TTC7A_textmining': ['bio/hg19_TTC7A', 'bio/hg38_TTC7A'], 'bio/DGA_DOID_8778_MREG_textmining': ['bio/hg19_MREG', 'bio/hg38_MREG'], 'bio/DGA_DOID_8778_ST3GAL4_textmining': ['bio/hg19_ST3GAL4', 'bio/hg38_ST3GAL4'], 'bio/DGA_DOID_8778_CD247_textmining': ['bio/hg19_CD247', 'bio/hg38_CD247'], 'bio/DGA_DOID_8778_SLC10A4_textmining': ['bio/hg19_SLC10A4', 'bio/hg38_SLC10A4'], 'bio/DGA_DOID_8778_SCTR_textmining': ['bio/hg19_SCTR', 'bio/hg38_SCTR'], 'bio/DGA_DOID_8778_TNFSF15_textmining': ['bio/hg19_TNFSF15', 'bio/hg38_TNFSF15'], 'bio/DGA_DOID_8778_PSTPIP1_textmining': ['bio/hg19_PSTPIP1', 'bio/hg38_PSTPIP1'], 'bio/DGA_DOID_8778_ANG_textmining': ['bio/hg19_ANG', 'bio/hg38_ANG'], 'bio/DGA_DOID_8778_AQP11_textmining': ['bio/hg19_AQP11', 'bio/hg38_AQP11'], 'bio/DGA_DOID_8778_DEFB124_textmining': ['bio/hg19_DEFB124', 'bio/hg38_DEFB124'], 'bio/DGA_DOID_8778_LGR5_textmining': ['bio/hg19_LGR5', 'bio/hg38_LGR5'], 'bio/DGA_DOID_8778_RNF138_textmining': ['bio/hg19_RNF138', 'bio/hg38_RNF138'], 'bio/DGA_DOID_8778_S1PR5_textmining': ['bio/hg19_S1PR5', 'bio/hg38_S1PR5'], 'bio/DGA_DOID_8778_SLAMF1_textmining': ['bio/hg19_SLAMF1', 'bio/hg38_SLAMF1'], 'bio/DGA_DOID_8778_SULF1_textmining': ['bio/hg19_SULF1', 'bio/hg38_SULF1'], 'bio/DGA_DOID_8778_BMP7_textmining': ['bio/hg19_BMP7', 'bio/hg38_BMP7'], 'bio/DGA_DOID_8778_CDK6_textmining': ['bio/hg19_CDK6', 'bio/hg38_CDK6'], 'bio/DGA_DOID_8778_PECAM1_textmining': ['bio/hg19_PECAM1', 'bio/hg38_PECAM1'], 'bio/DGA_DOID_8778_B7RP1_experiments': [], 'bio/DGA_DOID_8778_PGAP3_textmining': ['bio/hg19_PGAP3', 'bio/hg38_PGAP3'], 'bio/DGA_DOID_8778_SP7_textmining': ['bio/hg19_SP7', 'bio/hg38_SP7'], 'bio/DGA_DOID_8778_MST1R_textmining': ['bio/hg19_MST1R', 'bio/hg38_MST1R'], 'bio/DGA_DOID_8778_ADIPOR2_textmining': ['bio/hg19_ADIPOR2', 'bio/hg38_ADIPOR2'], 'bio/DGA_DOID_8778_NCMAP_textmining': ['bio/hg19_NCMAP', 'bio/hg38_NCMAP'], 'bio/DGA_DOID_8778_RNF31_textmining': ['bio/hg19_RNF31', 'bio/hg38_RNF31'], 'bio/DGA_DOID_8778_RHBDF2_textmining': ['bio/hg19_RHBDF2', 'bio/hg38_RHBDF2'], 'bio/DGA_DOID_8778_NLRX1_textmining': ['bio/hg19_NLRX1', 'bio/hg38_NLRX1'], 'bio/DGA_DOID_8778_TXK_textmining': ['bio/hg19_TXK', 'bio/hg38_TXK'], 'bio/DGA_DOID_8778_LIF_textmining': ['bio/hg19_LIF', 'bio/hg38_LIF'], 'bio/DGA_DOID_8778_VAMP8_textmining': ['bio/hg19_VAMP8', 'bio/hg38_VAMP8'], 'bio/DGA_DOID_8778_C1S_textmining': ['bio/hg19_C1S', 'bio/hg38_C1S'], 'bio/DGA_DOID_8778_NKD1_experiments': ['bio/hg19_NKD1', 'bio/hg38_NKD1'], 'bio/DGA_DOID_8778_IRAK4_textmining': ['bio/hg19_IRAK4', 'bio/hg38_IRAK4'], 'bio/DGA_DOID_8778_RAB2A_textmining': ['bio/hg19_RAB2A', 'bio/hg38_RAB2A'], 'bio/DGA_DOID_8778_RORC_textmining': ['bio/hg19_RORC', 'bio/hg38_RORC'], 'bio/DGA_DOID_8778_IER3IP1_textmining': ['bio/hg19_IER3IP1', 'bio/hg38_IER3IP1'], 'bio/DGA_DOID_8778_SELP_textmining': ['bio/hg19_SELP', 'bio/hg38_SELP'], 'bio/DGA_DOID_8778_P2RX5_textmining': ['bio/hg19_P2RX5', 'bio/hg38_P2RX5'], 'bio/DGA_DOID_8778_ENSP00000478610_textmining': [], 'bio/DGA_DOID_8778_CA13_textmining': ['bio/hg19_CA13', 'bio/hg38_CA13'], 'bio/DGA_DOID_8778_CCNY_experiments': ['bio/hg19_CCNY', 'bio/hg38_CCNY'], 'bio/DGA_DOID_8778_hsa-miR-19a-3p_textmining': [], 'bio/DGA_DOID_8778_C3_textmining': ['bio/hg19_C3', 'bio/hg38_C3'], 'bio/DGA_DOID_8778_PREP_textmining': ['bio/hg19_PREP', 'bio/hg38_PREP'], 'bio/DGA_DOID_8778_NFATC3_textmining': ['bio/hg19_NFATC3', 'bio/hg38_NFATC3'], 'bio/DGA_DOID_8778_ABL1_textmining': ['bio/hg19_ABL1', 'bio/hg38_ABL1'], 'bio/DGA_DOID_8778_CLDN5_textmining': ['bio/hg19_CLDN5', 'bio/hg38_CLDN5'], 'bio/DGA_DOID_8778_ORM1_textmining': ['bio/hg19_ORM1', 'bio/hg38_ORM1'], 'bio/DGA_DOID_8778_VCL_textmining': ['bio/hg19_VCL', 'bio/hg38_VCL'], 'bio/DGA_DOID_8778_ST5_textmining': ['bio/hg19_ST5', 'bio/hg38_ST5'], 'bio/DGA_DOID_8778_SLC36A4_experiments': ['bio/hg19_SLC36A4', 'bio/hg38_SLC36A4'], 'bio/DGA_DOID_8778_BPI_textmining': ['bio/hg19_BPI', 'bio/hg38_BPI'], 'bio/DGA_DOID_8778_C5orf56_textmining': ['bio/hg19_C5orf56', 'bio/hg38_C5orf56'], 'bio/DGA_DOID_8778_ENO3_textmining': ['bio/hg19_ENO3', 'bio/hg38_ENO3'], 'bio/DGA_DOID_8778_LGALS7_textmining': ['bio/hg19_LGALS7', 'bio/hg38_LGALS7'], 'bio/DGA_DOID_8778_PPT1_textmining': ['bio/hg19_PPT1', 'bio/hg38_PPT1'], 'bio/DGA_DOID_8778_TRAF3IP2_textmining': ['bio/hg19_TRAF3IP2', 'bio/hg38_TRAF3IP2'], 'bio/DGA_DOID_8778_CX3CR1_textmining': ['bio/hg19_CX3CR1', 'bio/hg38_CX3CR1'], 'bio/DGA_DOID_8778_DRD5_textmining': ['bio/hg19_DRD5', 'bio/hg38_DRD5'], 'bio/DGA_DOID_8778_LRIG1_textmining': ['bio/hg19_LRIG1', 'bio/hg38_LRIG1'], 'bio/DGA_DOID_8778_hsa-miR-26a-5p_textmining': [], 'bio/DGA_DOID_8778_CARD8_experiments': ['bio/hg19_CARD8', 'bio/hg38_CARD8'], 'bio/DGA_DOID_8778_PAX5_textmining': ['bio/hg19_PAX5', 'bio/hg38_PAX5'], 'bio/DGA_DOID_8778_SDHB_textmining': ['bio/hg19_SDHB', 'bio/hg38_SDHB'], 'bio/DGA_DOID_8778_hsa-miR-16-5p_textmining': [], 'bio/DGA_DOID_8778_NPSR1_textmining': ['bio/hg19_NPSR1', 'bio/hg38_NPSR1'], 'bio/DGA_DOID_8778_SLC30A8_textmining': ['bio/hg19_SLC30A8', 'bio/hg38_SLC30A8'], 'bio/DGA_DOID_8778_STC1_textmining': ['bio/hg19_STC1', 'bio/hg38_STC1'], 'bio/DGA_DOID_8778_LMX1B_textmining': ['bio/hg19_LMX1B', 'bio/hg38_LMX1B'], 'bio/DGA_DOID_8778_LILRB2_textmining': ['bio/hg19_LILRB2', 'bio/hg38_LILRB2'], 'bio/DGA_DOID_8778_SLC1A7_textmining': ['bio/hg19_SLC1A7', 'bio/hg38_SLC1A7'], 'bio/DGA_DOID_8778_ZG16_textmining': ['bio/hg19_ZG16', 'bio/hg38_ZG16'], 'bio/DGA_DOID_8778_TAPBP_textmining': ['bio/hg19_TAPBP', 'bio/hg38_TAPBP'], 'bio/DGA_DOID_8778_MIB2_textmining': ['bio/hg19_MIB2', 'bio/hg38_MIB2'], 'bio/DGA_DOID_8778_HMBS_textmining': ['bio/hg19_HMBS', 'bio/hg38_HMBS'], 'bio/DGA_DOID_8778_SIRT3_textmining': ['bio/hg19_SIRT3', 'bio/hg38_SIRT3'], 'bio/DGA_DOID_8778_PRUNE_textmining': ['bio/hg19_PRUNE'], 'bio/DGA_DOID_8778_SLC22A5_textmining': ['bio/hg19_SLC22A5', 'bio/hg38_SLC22A5'], 'bio/DGA_DOID_8778_TNFSF13B_textmining': ['bio/hg19_TNFSF13B', 'bio/hg38_TNFSF13B'], 'bio/DGA_DOID_8778_hsa-miR-10a-5p_textmining': [], 'bio/DGA_DOID_8778_C1orf106_experiments': ['bio/hg19_C1orf106'], 'bio/DGA_DOID_8778_AZGP1_textmining': ['bio/hg19_AZGP1', 'bio/hg38_AZGP1'], 'bio/DGA_DOID_8778_MSH2_textmining': ['bio/hg19_MSH2', 'bio/hg38_MSH2'], 'bio/DGA_DOID_8778_PPM1G_experiments': ['bio/hg19_PPM1G', 'bio/hg38_PPM1G'], 'bio/DGA_DOID_8778_KLRD1_textmining': ['bio/hg19_KLRD1', 'bio/hg38_KLRD1'], 'bio/DGA_DOID_8778_B7RP1_textmining': [], 'bio/DGA_DOID_8778_LALBA_textmining': ['bio/hg19_LALBA', 'bio/hg38_LALBA'], 'bio/DGA_DOID_8778_GAST_textmining': ['bio/hg19_GAST', 'bio/hg38_GAST'], 'bio/DGA_DOID_8778_MSH3_textmining': ['bio/hg19_MSH3', 'bio/hg38_MSH3'], 'bio/DGA_DOID_8778_AVP_textmining': ['bio/hg19_AVP', 'bio/hg38_AVP'], 'bio/DGA_DOID_8778_PHOX2B_textmining': ['bio/hg19_PHOX2B', 'bio/hg38_PHOX2B'], 'bio/DGA_DOID_8778_MDM2_textmining': ['bio/hg19_MDM2', 'bio/hg38_MDM2'], 'bio/DGA_DOID_8778_SGSH_textmining': ['bio/hg19_SGSH', 'bio/hg38_SGSH'], 'bio/DGA_DOID_8778_MGMT_textmining': ['bio/hg19_MGMT', 'bio/hg38_MGMT'], 'bio/DGA_DOID_8778_RARA_textmining': ['bio/hg19_RARA', 'bio/hg38_RARA'], 'bio/DGA_DOID_8778_XKR6_textmining': ['bio/hg19_XKR6', 'bio/hg38_XKR6'], 'bio/DGA_DOID_8778_TF_textmining': ['bio/hg19_TF', 'bio/hg38_TF'], 'bio/DGA_DOID_8778_hsa-miR-324-3p_textmining': [], 'bio/DGA_DOID_8778_hsa-miR-193b-3p_textmining': [], 'bio/DGA_DOID_8778_CD46_textmining': ['bio/hg19_CD46', 'bio/hg38_CD46'], 'bio/DGA_DOID_8778_SIK2_textmining': ['bio/hg19_SIK2', 'bio/hg38_SIK2'], 'bio/DGA_DOID_8778_APOH_textmining': ['bio/hg19_APOH', 'bio/hg38_APOH'], 'bio/DGA_DOID_8778_CALR_textmining': ['bio/hg19_CALR', 'bio/hg38_CALR'], 'bio/DGA_DOID_8778_RPS6KA2_textmining': ['bio/hg19_RPS6KA2', 'bio/hg38_RPS6KA2'], 'bio/DGA_DOID_8778_HLA-B_textmining': ['bio/hg19_HLA-B', 'bio/hg38_HLA-B'], 'bio/DGA_DOID_8778_NOTCH4_textmining': ['bio/hg19_NOTCH4', 'bio/hg38_NOTCH4'], 'bio/DGA_DOID_8778_ST6GAL1_textmining': ['bio/hg19_ST6GAL1', 'bio/hg38_ST6GAL1'], 'bio/DGA_DOID_8778_USP7_textmining': ['bio/hg19_USP7', 'bio/hg38_USP7'], 'bio/DGA_DOID_8778_RNF125_textmining': ['bio/hg19_RNF125', 'bio/hg38_RNF125'], 'bio/DGA_DOID_8778_AGR2_textmining': ['bio/hg19_AGR2', 'bio/hg38_AGR2'], 'bio/DGA_DOID_8778_MRAP_textmining': ['bio/hg19_MRAP', 'bio/hg38_MRAP'], 'bio/DGA_DOID_8778_CASP6_textmining': ['bio/hg19_CASP6', 'bio/hg38_CASP6'], 'bio/DGA_DOID_8778_BANF1_textmining': ['bio/hg19_BANF1', 'bio/hg38_BANF1'], 'bio/DGA_DOID_8778_FERMT1_textmining': ['bio/hg19_FERMT1', 'bio/hg38_FERMT1'], 'bio/DGA_DOID_8778_GOPC_textmining': ['bio/hg19_GOPC', 'bio/hg38_GOPC'], 'bio/DGA_DOID_8778_HGF_textmining': ['bio/hg19_HGF', 'bio/hg38_HGF'], 'bio/DGA_DOID_8778_FAM107B_textmining': ['bio/hg19_FAM107B', 'bio/hg38_FAM107B'], 'bio/DGA_DOID_8778_CASP5_textmining': ['bio/hg19_CASP5', 'bio/hg38_CASP5'], 'bio/DGA_DOID_8778_hsa-miR-151a-5p_textmining': [], 'bio/DGA_DOID_8778_GRASP_textmining': ['bio/hg19_GRASP', 'bio/hg38_GRASP'], 'bio/DGA_DOID_8778_LAG3_textmining': ['bio/hg19_LAG3', 'bio/hg38_LAG3'], 'bio/DGA_DOID_8778_RAN_textmining': ['bio/hg19_RAN', 'bio/hg38_RAN'], 'bio/DGA_DOID_8778_KRTAP1-3_textmining': ['bio/hg19_KRTAP1-3', 'bio/hg38_KRTAP1-3'], 'bio/DGA_DOID_8778_ALDH7A1_textmining': ['bio/hg19_ALDH7A1', 'bio/hg38_ALDH7A1'], 'bio/DGA_DOID_8778_P2RX4_textmining': ['bio/hg19_P2RX4', 'bio/hg38_P2RX4'], 'bio/DGA_DOID_8778_ZNF683_textmining': ['bio/hg19_ZNF683', 'bio/hg38_ZNF683'], 'bio/DGA_DOID_8778_STEAP2-AS1_textmining': ['bio/hg19_STEAP2-AS1', 'bio/hg38_STEAP2-AS1'], 'bio/DGA_DOID_8778_BLOC1S3_textmining': ['bio/hg19_BLOC1S3', 'bio/hg38_BLOC1S3'], 'bio/DGA_DOID_8778_SOD1_textmining': ['bio/hg19_SOD1', 'bio/hg38_SOD1'], 'bio/DGA_DOID_8778_WNT2_textmining': ['bio/hg19_WNT2', 'bio/hg38_WNT2'], 'bio/DGA_DOID_8778_EHMT2_textmining': ['bio/hg19_EHMT2', 'bio/hg38_EHMT2'], 'bio/DGA_DOID_8778_ANO6_textmining': ['bio/hg19_ANO6', 'bio/hg38_ANO6'], 'bio/DGA_DOID_8778_PTGER1_textmining': ['bio/hg19_PTGER1', 'bio/hg38_PTGER1'], 'bio/DGA_DOID_8778_ULBP1_textmining': ['bio/hg19_ULBP1', 'bio/hg38_ULBP1'], 'bio/DGA_DOID_8778_MAPK9_textmining': ['bio/hg19_MAPK9', 'bio/hg38_MAPK9'], 'bio/DGA_DOID_8778_CD72_textmining': ['bio/hg19_CD72', 'bio/hg38_CD72'], 'bio/DGA_DOID_8778_EHD4_textmining': ['bio/hg19_EHD4', 'bio/hg38_EHD4'], 'bio/DGA_DOID_8778_GBGT1_textmining': ['bio/hg19_GBGT1', 'bio/hg38_GBGT1'], 'bio/DGA_DOID_8778_USP8_textmining': ['bio/hg19_USP8', 'bio/hg38_USP8'], 'bio/DGA_DOID_8778_SP140_textmining': ['bio/hg19_SP140', 'bio/hg38_SP140'], 'bio/DGA_DOID_8778_FCRL3_textmining': ['bio/hg19_FCRL3', 'bio/hg38_FCRL3'], 'bio/DGA_DOID_8778_TRPC4_textmining': ['bio/hg19_TRPC4', 'bio/hg38_TRPC4'], 'bio/DGA_DOID_8778_hsa-miR-1910-5p_textmining': [], 'bio/DGA_DOID_8778_RAG1_textmining': ['bio/hg19_RAG1', 'bio/hg38_RAG1'], 'bio/DGA_DOID_8778_CD200_textmining': ['bio/hg19_CD200', 'bio/hg38_CD200'], 'bio/DGA_DOID_8778_BTNL9_textmining': ['bio/hg19_BTNL9', 'bio/hg38_BTNL9'], 'bio/DGA_DOID_8778_ALOX15B_textmining': ['bio/hg19_ALOX15B', 'bio/hg38_ALOX15B'], 'bio/DGA_DOID_8778_IGF2_textmining': ['bio/hg19_IGF2', 'bio/hg38_IGF2'], 'bio/DGA_DOID_8778_ALAD_textmining': ['bio/hg19_ALAD', 'bio/hg38_ALAD'], 'bio/DGA_DOID_8778_ADAMTS12_textmining': ['bio/hg19_ADAMTS12', 'bio/hg38_ADAMTS12'], 'bio/DGA_DOID_8778_RNF43_textmining': ['bio/hg19_RNF43', 'bio/hg38_RNF43'], 'bio/DGA_DOID_8778_PARP1_textmining': ['bio/hg19_PARP1', 'bio/hg38_PARP1'], 'bio/DGA_DOID_8778_RNH1_textmining': ['bio/hg19_RNH1', 'bio/hg38_RNH1'], 'bio/DGA_DOID_8778_DNAJC17_textmining': ['bio/hg19_DNAJC17', 'bio/hg38_DNAJC17'], 'bio/DGA_DOID_8778_SULF2_textmining': ['bio/hg19_SULF2', 'bio/hg38_SULF2'], 'bio/DGA_DOID_8778_ABCG5_textmining': ['bio/hg19_ABCG5', 'bio/hg38_ABCG5'], 'bio/DGA_DOID_8778_CD2_textmining': ['bio/hg19_CD2', 'bio/hg38_CD2'], 'bio/DGA_DOID_8778_IL22RA2_textmining': ['bio/hg19_IL22RA2', 'bio/hg38_IL22RA2'], 'bio/DGA_DOID_8778_LSR_textmining': ['bio/hg19_LSR', 'bio/hg38_LSR'], 'bio/DGA_DOID_8778_NR1H2_textmining': ['bio/hg19_NR1H2', 'bio/hg38_NR1H2'], 'bio/DGA_DOID_8778_UMOD_textmining': ['bio/hg19_UMOD', 'bio/hg38_UMOD'], 'bio/DGA_DOID_8778_PIPOX_textmining': ['bio/hg19_PIPOX', 'bio/hg38_PIPOX'], 'bio/DGA_DOID_8778_PITX1_textmining': ['bio/hg19_PITX1', 'bio/hg38_PITX1'], 'bio/DGA_DOID_8778_OTUB1_textmining': ['bio/hg19_OTUB1', 'bio/hg38_OTUB1'], 'bio/DGA_DOID_8778_MSN_textmining': ['bio/hg19_MSN', 'bio/hg38_MSN'], 'bio/DGA_DOID_8778_TMEM17_textmining': ['bio/hg19_TMEM17', 'bio/hg38_TMEM17'], 'bio/DGA_DOID_8778_TEK_textmining': ['bio/hg19_TEK', 'bio/hg38_TEK'], 'bio/DGA_DOID_8778_SLC9A3R1_textmining': ['bio/hg19_SLC9A3R1', 'bio/hg38_SLC9A3R1'], 'bio/DGA_DOID_8778_EBF1_textmining': ['bio/hg19_EBF1', 'bio/hg38_EBF1'], 'bio/DGA_DOID_8778_UNC93B1_textmining': ['bio/hg19_UNC93B1', 'bio/hg38_UNC93B1'], 'bio/DGA_DOID_8778_HDAC1_textmining': ['bio/hg19_HDAC1', 'bio/hg38_HDAC1'], 'bio/DGA_DOID_8778_AQP10_textmining': ['bio/hg19_AQP10', 'bio/hg38_AQP10'], 'bio/DGA_DOID_8778_DNAJB9_textmining': ['bio/hg19_DNAJB9', 'bio/hg38_DNAJB9'], 'bio/DGA_DOID_8778_NEUROG3_textmining': ['bio/hg19_NEUROG3', 'bio/hg38_NEUROG3'], 'bio/DGA_DOID_8778_DHCR7_textmining': ['bio/hg19_DHCR7', 'bio/hg38_DHCR7'], 'bio/DGA_DOID_8778_CXCL2_textmining': ['bio/hg19_CXCL2', 'bio/hg38_CXCL2'], 'bio/DGA_DOID_8778_PER3_experiments': ['bio/hg19_PER3', 'bio/hg38_PER3'], 'bio/DGA_DOID_8778_PLEK_textmining': ['bio/hg19_PLEK', 'bio/hg38_PLEK'], 'bio/DGA_DOID_8778_AFF3_textmining': ['bio/hg19_AFF3', 'bio/hg38_AFF3'], 'bio/DGA_DOID_8778_PRKG1_textmining': ['bio/hg19_PRKG1', 'bio/hg38_PRKG1'], 'bio/DGA_DOID_8778_ACKR2_textmining': ['bio/hg19_ACKR2', 'bio/hg38_ACKR2'], 'bio/DGA_DOID_8778_hsa-miR-146b-5p_textmining': [], 'bio/DGA_DOID_8778_SGPL1_textmining': ['bio/hg19_SGPL1', 'bio/hg38_SGPL1'], 'bio/DGA_DOID_8778_GMPS_textmining': ['bio/hg19_GMPS', 'bio/hg38_GMPS'], 'bio/DGA_DOID_8778_MOCOS_textmining': ['bio/hg19_MOCOS', 'bio/hg38_MOCOS'], 'bio/DGA_DOID_8778_CSNK2B_textmining': ['bio/hg19_CSNK2B', 'bio/hg38_CSNK2B'], 'bio/DGA_DOID_8778_ID1_textmining': ['bio/hg19_ID1', 'bio/hg38_ID1'], 'bio/DGA_DOID_8778_SPINK1_textmining': ['bio/hg19_SPINK1', 'bio/hg38_SPINK1'], 'bio/DGA_DOID_8778_PRDX1_textmining': ['bio/hg19_PRDX1', 'bio/hg38_PRDX1'], 'bio/DGA_DOID_8778_ENTPD3_textmining': ['bio/hg19_ENTPD3', 'bio/hg38_ENTPD3'], 'bio/DGA_DOID_8778_CPAMD8_textmining': ['bio/hg19_CPAMD8', 'bio/hg38_CPAMD8'], 'bio/DGA_DOID_8778_ENSP00000480348_textmining': [], 'bio/DGA_DOID_8778_H2AFX_textmining': ['bio/hg19_H2AFX', 'bio/hg38_H2AFX'], 'bio/DGA_DOID_8778_CDA_textmining': ['bio/hg19_CDA', 'bio/hg38_CDA'], 'bio/DGA_DOID_8778_C1GALT1C1_textmining': ['bio/hg19_C1GALT1C1', 'bio/hg38_C1GALT1C1']}\n", - "all associated genes: ['bio/hg19_OSMR', 'bio/hg38_OSMR', 'bio/hg19_CGNL1', 'bio/hg38_CGNL1', 'bio/hg19_NR3C1', 'bio/hg38_NR3C1', 'bio/hg19_ISG15', 'bio/hg38_ISG15', 'bio/hg19_IL36A', 'bio/hg38_IL36A', 'bio/hg19_SIRT1', 'bio/hg38_SIRT1', 'bio/hg19_MXD4', 'bio/hg38_MXD4', 'bio/hg19_PLD4', 'bio/hg38_PLD4', 'bio/hg19_CD177', 'bio/hg38_CD177', 'bio/hg19_PLG', 'bio/hg38_PLG', 'bio/hg19_LGALS7B', 'bio/hg38_LGALS7B', 'bio/hg19_TMEM232', 'bio/hg38_TMEM232', 'bio/hg19_MLKL', 'bio/hg38_MLKL', 'bio/hg19_UBE2I', 'bio/hg38_UBE2I', 'bio/hg19_GPR132', 'bio/hg38_GPR132', 'bio/hg19_ATXN2', 'bio/hg38_ATXN2', 'bio/hg19_COMP', 'bio/hg38_COMP', 'bio/hg19_EGFR', 'bio/hg38_EGFR', 'bio/hg19_SUCNR1', 'bio/hg38_SUCNR1', 'bio/hg19_CD6', 'bio/hg38_CD6', 'bio/hg19_LAT', 'bio/hg38_LAT', 'bio/hg19_ASPRV1', 'bio/hg38_ASPRV1', 'bio/hg19_MLLT4', 'bio/hg19_GNA11', 'bio/hg38_GNA11', 'bio/hg19_IL18RAP', 'bio/hg38_IL18RAP', 'bio/hg19_RGS14', 'bio/hg38_RGS14', 'bio/hg19_IFIT1', 'bio/hg38_IFIT1', 'bio/hg19_OGFR', 'bio/hg38_OGFR', 'bio/hg19_SORCS2', 'bio/hg38_SORCS2', 'bio/hg19_CSF2RB', 'bio/hg38_CSF2RB', 'bio/hg19_MAP3K11', 'bio/hg38_MAP3K11', 'bio/hg19_ITGA2', 'bio/hg38_ITGA2', 'bio/hg19_JARID2', 'bio/hg38_JARID2', 'bio/hg19_TTC37', 'bio/hg38_TTC37', 'bio/hg19_CAPN14', 'bio/hg38_CAPN14', 'bio/hg19_CYR61', 'bio/hg38_CYR61', 'bio/hg19_UBAC2', 'bio/hg38_UBAC2', 'bio/hg19_RHCE', 'bio/hg38_RHCE', 'bio/hg19_ADRB2', 'bio/hg38_ADRB2', 'bio/hg19_PIGR', 'bio/hg38_PIGR', 'bio/hg19_TCF7', 'bio/hg38_TCF7', 'bio/hg19_CGB', 'bio/hg19_TRIAP1', 'bio/hg38_TRIAP1', 'bio/hg19_SLC2A4', 'bio/hg38_SLC2A4', 'bio/hg19_TRAIP', 'bio/hg38_TRAIP', 'bio/hg19_VAMP7', 'bio/hg38_VAMP7', 'bio/hg19_CD6', 'bio/hg38_CD6', 'bio/hg19_HECA', 'bio/hg38_HECA', 'bio/hg19_MLST8', 'bio/hg38_MLST8', 'bio/hg19_RNASE6', 'bio/hg38_RNASE6', 'bio/hg19_FOXO1', 'bio/hg38_FOXO1', 'bio/hg19_SH2D1A', 'bio/hg38_SH2D1A', 'bio/hg19_TTK', 'bio/hg38_TTK', 'bio/hg19_PRKAA1', 'bio/hg38_PRKAA1', 'bio/hg19_DIABLO', 'bio/hg38_DIABLO', 'bio/hg19_NTSR1', 'bio/hg38_NTSR1', 'bio/hg19_EOMES', 'bio/hg38_EOMES', 'bio/hg19_SERPINA5', 'bio/hg38_SERPINA5', 'bio/hg19_KCNA3', 'bio/hg38_KCNA3', 'bio/hg19_NLRP10', 'bio/hg38_NLRP10', 'bio/hg19_POLB', 'bio/hg38_POLB', 'bio/hg19_C4BPA', 'bio/hg38_C4BPA', 'bio/hg19_NFKB2', 'bio/hg38_NFKB2', 'bio/hg19_HNRNPD', 'bio/hg38_HNRNPD', 'bio/hg19_CARD18', 'bio/hg38_CARD18', 'bio/hg19_TNFRSF25', 'bio/hg38_TNFRSF25', 'bio/hg19_FZD5', 'bio/hg38_FZD5', 'bio/hg19_SRGN', 'bio/hg38_SRGN', 'bio/hg19_RAB3D', 'bio/hg38_RAB3D', 'bio/hg19_SST', 'bio/hg38_SST', 'bio/hg19_FNDC5', 'bio/hg38_FNDC5', 'bio/hg19_BDKRB2', 'bio/hg38_BDKRB2', 'bio/hg19_CDC42', 'bio/hg38_CDC42', 'bio/hg19_BLK', 'bio/hg38_BLK', 'bio/hg19_ACKR3', 'bio/hg38_ACKR3', 'bio/hg19_IL18R1', 'bio/hg38_IL18R1', 'bio/hg19_CXCL8', 'bio/hg38_CXCL8', 'bio/hg19_DOK2', 'bio/hg38_DOK2', 'bio/hg19_THNSL1', 'bio/hg38_THNSL1', 'bio/hg19_SEMA3C', 'bio/hg38_SEMA3C', 'bio/hg19_DCX', 'bio/hg38_DCX', 'bio/hg19_IL20RA', 'bio/hg38_IL20RA', 'bio/hg19_ADAR', 'bio/hg38_ADAR', 'bio/hg19_PMS1', 'bio/hg38_PMS1', 'bio/hg19_PLXNB2', 'bio/hg38_PLXNB2', 'bio/hg19_SLC26A3', 'bio/hg38_SLC26A3', 'bio/hg19_HHIP', 'bio/hg38_HHIP', 'bio/hg19_PDZK1', 'bio/hg38_PDZK1', 'bio/hg19_TNFRSF17', 'bio/hg38_TNFRSF17', 'bio/hg19_XBP1', 'bio/hg38_XBP1', 'bio/hg19_COBL', 'bio/hg38_COBL', 'bio/hg19_PSMA7', 'bio/hg38_PSMA7', 'bio/hg19_IL1RAP', 'bio/hg38_IL1RAP', 'bio/hg19_TTR', 'bio/hg38_TTR', 'bio/hg19_C1GALT1', 'bio/hg38_C1GALT1', 'bio/hg19_CDKN2A', 'bio/hg38_CDKN2A', 'bio/hg19_ELOVL5', 'bio/hg38_ELOVL5', 'bio/hg19_PHTF1', 'bio/hg38_PHTF1', 'bio/hg19_JAKMIP1', 'bio/hg38_JAKMIP1', 'bio/hg19_ADSL', 'bio/hg38_ADSL', 'bio/hg19_EMR2', 'bio/hg19_SLC39A8', 'bio/hg38_SLC39A8', 'bio/hg19_CXCR1', 'bio/hg38_CXCR1', 'bio/hg19_LOR', 'bio/hg38_LOR', 'bio/hg19_GRIN2A', 'bio/hg38_GRIN2A', 'bio/hg19_KLK3', 'bio/hg38_KLK3', 'bio/hg19_ADK', 'bio/hg38_ADK', 'bio/hg19_MYB', 'bio/hg38_MYB', 'bio/hg19_DCXR', 'bio/hg38_DCXR', 'bio/hg19_IL34', 'bio/hg38_IL34', 'bio/hg19_APOL1', 'bio/hg38_APOL1', 'bio/hg19_MYO5B', 'bio/hg38_MYO5B', 'bio/hg19_ARSH', 'bio/hg38_ARSH', 'bio/hg19_MS4A2', 'bio/hg38_MS4A2', 'bio/hg19_SOCS1', 'bio/hg38_SOCS1', 'bio/hg19_DLG4', 'bio/hg38_DLG4', 'bio/hg19_TBC1D23', 'bio/hg38_TBC1D23', 'bio/hg19_KRT19', 'bio/hg38_KRT19', 'bio/hg19_GSDMC', 'bio/hg38_GSDMC', 'bio/hg19_VIP', 'bio/hg38_VIP', 'bio/hg19_GPR65', 'bio/hg38_GPR65', 'bio/hg19_FERMT2', 'bio/hg38_FERMT2', 'bio/hg19_SLC25A20', 'bio/hg38_SLC25A20', 'bio/hg19_RIT1', 'bio/hg38_RIT1', 'bio/hg19_PTGES', 'bio/hg38_PTGES', 'bio/hg19_ZSCAN2', 'bio/hg38_ZSCAN2', 'bio/hg19_SIGIRR', 'bio/hg38_SIGIRR', 'bio/hg19_GAS6', 'bio/hg38_GAS6', 'bio/hg19_CALCA', 'bio/hg38_CALCA', 'bio/hg19_HIST2H2AA3', 'bio/hg38_HIST2H2AA3', 'bio/hg19_STAT5B', 'bio/hg38_STAT5B', 'bio/hg19_RAET1L', 'bio/hg38_RAET1L', 'bio/hg19_FIS1', 'bio/hg38_FIS1', 'bio/hg19_TNFRSF21', 'bio/hg38_TNFRSF21', 'bio/hg19_TIGD1', 'bio/hg38_TIGD1', 'bio/hg19_CA3', 'bio/hg38_CA3', 'bio/hg19_FCGR2A', 'bio/hg38_FCGR2A', 'bio/hg19_HIST1H4I', 'bio/hg38_HIST1H4I', 'bio/hg19_MMP19', 'bio/hg38_MMP19', 'bio/hg19_ITGB8', 'bio/hg38_ITGB8', 'bio/hg19_SEPSECS', 'bio/hg38_SEPSECS', 'bio/hg19_CDKAL1', 'bio/hg38_CDKAL1', 'bio/hg19_AXIN1', 'bio/hg38_AXIN1', 'bio/hg19_PIAS1', 'bio/hg38_PIAS1', 'bio/hg19_POTEF', 'bio/hg38_POTEF', 'bio/hg19_TRIM31', 'bio/hg38_TRIM31', 'bio/hg19_FAS', 'bio/hg38_FAS', 'bio/hg19_LEAP2', 'bio/hg38_LEAP2', 'bio/hg19_NCF2', 'bio/hg38_NCF2', 'bio/hg19_EEF1A1', 'bio/hg38_EEF1A1', 'bio/hg19_PNKD', 'bio/hg38_PNKD', 'bio/hg19_NTS', 'bio/hg38_NTS', 'bio/hg19_IFI6', 'bio/hg38_IFI6', 'bio/hg19_DHFR', 'bio/hg38_DHFR', 'bio/hg19_NEGR1', 'bio/hg38_NEGR1', 'bio/hg19_UPK1A', 'bio/hg38_UPK1A', 'bio/hg19_IFNL2', 'bio/hg38_IFNL2', 'bio/hg19_CUX2', 'bio/hg38_CUX2', 'bio/hg19_SMAD9', 'bio/hg38_SMAD9', 'bio/hg19_PIK3R4', 'bio/hg38_PIK3R4', 'bio/hg19_S100A4', 'bio/hg38_S100A4', 'bio/hg19_LAP3', 'bio/hg38_LAP3', 'bio/hg19_S100A6', 'bio/hg38_S100A6', 'bio/hg19_DIO2', 'bio/hg38_DIO2', 'bio/hg19_NLRP4', 'bio/hg38_NLRP4', 'bio/hg19_GPBAR1', 'bio/hg38_GPBAR1', 'bio/hg19_SELL', 'bio/hg38_SELL', 'bio/hg19_LRP5', 'bio/hg38_LRP5', 'bio/hg19_RAB27A', 'bio/hg38_RAB27A', 'bio/hg19_MAP3K1', 'bio/hg38_MAP3K1', 'bio/hg19_SYNGR1', 'bio/hg38_SYNGR1', 'bio/hg19_PTGR2', 'bio/hg38_PTGR2', 'bio/hg19_CYP3A5', 'bio/hg38_CYP3A5', 'bio/hg19_TIRAP', 'bio/hg38_TIRAP', 'bio/hg19_TGM5', 'bio/hg38_TGM5', 'bio/hg19_IGHV4-38-2', 'bio/hg38_IGHV4-38-2', 'bio/hg19_GHR', 'bio/hg38_GHR', 'bio/hg19_EPRS', 'bio/hg38_EPRS', 'bio/hg19_BCL2A1', 'bio/hg38_BCL2A1', 'bio/hg19_TLR1', 'bio/hg38_TLR1', 'bio/hg19_CD40', 'bio/hg38_CD40', 'bio/hg19_DLL4', 'bio/hg38_DLL4', 'bio/hg19_TLR4', 'bio/hg38_TLR4', 'bio/hg19_MAP2K7', 'bio/hg38_MAP2K7', 'bio/hg19_GAD2', 'bio/hg38_GAD2', 'bio/hg19_GCDH', 'bio/hg38_GCDH', 'bio/hg19_HFE', 'bio/hg38_HFE', 'bio/hg19_APOB', 'bio/hg38_APOB', 'bio/hg19_MYOD1', 'bio/hg38_MYOD1', 'bio/hg19_TYMP', 'bio/hg38_TYMP', 'bio/hg19_BCAR1', 'bio/hg38_BCAR1', 'bio/hg19_MAP1LC3B', 'bio/hg38_MAP1LC3B', 'bio/hg19_FLNC', 'bio/hg38_FLNC', 'bio/hg19_USP17L4', 'bio/hg38_USP17L4', 'bio/hg19_ARF6', 'bio/hg38_ARF6', 'bio/hg19_FZD2', 'bio/hg38_FZD2', 'bio/hg19_PRSS8', 'bio/hg38_PRSS8', 'bio/hg19_ABCA12', 'bio/hg38_ABCA12', 'bio/hg19_ALPL', 'bio/hg38_ALPL', 'bio/hg19_DHODH', 'bio/hg38_DHODH', 'bio/hg19_GZMM', 'bio/hg38_GZMM', 'bio/hg19_HCP5', 'bio/hg38_HCP5', 'bio/hg19_IQCB1', 'bio/hg38_IQCB1', 'bio/hg19_PUS10', 'bio/hg38_PUS10', 'bio/hg19_SLC22A23', 'bio/hg38_SLC22A23', 'bio/hg19_ZBTB7B', 'bio/hg38_ZBTB7B', 'bio/hg19_NCF4', 'bio/hg38_NCF4', 'bio/hg19_IL17RD', 'bio/hg38_IL17RD', 'bio/hg19_RAB5A', 'bio/hg38_RAB5A', 'bio/hg19_RICTOR', 'bio/hg38_RICTOR', 'bio/hg19_IL17RA', 'bio/hg38_IL17RA', 'bio/hg19_IL6ST', 'bio/hg38_IL6ST', 'bio/hg19_REL', 'bio/hg38_REL', 'bio/hg19_SEMA6D', 'bio/hg38_SEMA6D', 'bio/hg19_KITLG', 'bio/hg38_KITLG', 'bio/hg19_MUC12', 'bio/hg38_MUC12', 'bio/hg19_UBAC2', 'bio/hg38_UBAC2', 'bio/hg19_HNF4A', 'bio/hg38_HNF4A', 'bio/hg19_PROM1', 'bio/hg38_PROM1', 'bio/hg19_HSPA1L', 'bio/hg38_HSPA1L', 'bio/hg19_KIR2DL3', 'bio/hg38_KIR2DL3', 'bio/hg19_CCL27', 'bio/hg38_CCL27', 'bio/hg19_PTGIS', 'bio/hg38_PTGIS', 'bio/hg19_GSN', 'bio/hg38_GSN', 'bio/hg19_APOA5', 'bio/hg38_APOA5', 'bio/hg19_CLN3', 'bio/hg38_CLN3', 'bio/hg19_GNAS', 'bio/hg38_GNAS', 'bio/hg19_RSPO1', 'bio/hg38_RSPO1', 'bio/hg19_TALDO1', 'bio/hg38_TALDO1', 'bio/hg19_TNFAIP3', 'bio/hg38_TNFAIP3', 'bio/hg19_RAB10', 'bio/hg38_RAB10', 'bio/hg19_DRD1', 'bio/hg38_DRD1', 'bio/hg19_S100G', 'bio/hg38_S100G', 'bio/hg19_ITGAL', 'bio/hg38_ITGAL', 'bio/hg19_ESR1', 'bio/hg38_ESR1', 'bio/hg19_YDJC', 'bio/hg38_YDJC', 'bio/hg19_CCDC174', 'bio/hg38_CCDC174', 'bio/hg19_APCS', 'bio/hg38_APCS', 'bio/hg19_PSMB10', 'bio/hg38_PSMB10', 'bio/hg19_MMP14', 'bio/hg38_MMP14', 'bio/hg19_F5', 'bio/hg38_F5', 'bio/hg19_ANXA8', 'bio/hg38_ANXA8', 'bio/hg19_UBE2E2', 'bio/hg38_UBE2E2', 'bio/hg19_ARSD', 'bio/hg38_ARSD', 'bio/hg19_KLRF1', 'bio/hg38_KLRF1', 'bio/hg19_LRRK1', 'bio/hg38_LRRK1', 'bio/hg19_SLCO6A1', 'bio/hg38_SLCO6A1', 'bio/hg19_EHBP1L1', 'bio/hg38_EHBP1L1', 'bio/hg19_FERMT3', 'bio/hg38_FERMT3', 'bio/hg19_OR6J1', 'bio/hg38_OR6J1', 'bio/hg19_TRAF1', 'bio/hg38_TRAF1', 'bio/hg19_SLCO2B1', 'bio/hg38_SLCO2B1', 'bio/hg19_DPP9', 'bio/hg38_DPP9', 'bio/hg19_ERAS', 'bio/hg38_ERAS', 'bio/hg19_CALU', 'bio/hg38_CALU', 'bio/hg19_HDAC6', 'bio/hg38_HDAC6', 'bio/hg19_CX3CL1', 'bio/hg38_CX3CL1', 'bio/hg19_SERPINB2', 'bio/hg38_SERPINB2', 'bio/hg19_TYK2', 'bio/hg38_TYK2', 'bio/hg19_HSPA1A', 'bio/hg38_HSPA1A', 'bio/hg19_AHSG', 'bio/hg38_AHSG', 'bio/hg19_SNORA75', 'bio/hg38_SNORA75', 'bio/hg19_TNFRSF10A', 'bio/hg38_TNFRSF10A', 'bio/hg19_RELB', 'bio/hg38_RELB', 'bio/hg19_TXNDC9', 'bio/hg38_TXNDC9', 'bio/hg19_NF1', 'bio/hg38_NF1', 'bio/hg19_TNFRSF13C', 'bio/hg38_TNFRSF13C', 'bio/hg19_ITIH4', 'bio/hg38_ITIH4', 'bio/hg19_ADGB', 'bio/hg38_ADGB', 'bio/hg19_SOX9', 'bio/hg38_SOX9', 'bio/hg19_VNN1', 'bio/hg38_VNN1', 'bio/hg19_SMAD4', 'bio/hg38_SMAD4', 'bio/hg19_C22orf34', 'bio/hg38_C22orf34', 'bio/hg19_ALB', 'bio/hg38_ALB', 'bio/hg19_LILRA4', 'bio/hg38_LILRA4', 'bio/hg19_ACLY', 'bio/hg38_ACLY', 'bio/hg19_CRTC3', 'bio/hg38_CRTC3', 'bio/hg19_PROK2', 'bio/hg38_PROK2', 'bio/hg19_MT1X', 'bio/hg38_MT1X', 'bio/hg19_ZXDC', 'bio/hg38_ZXDC', 'bio/hg19_GPX7', 'bio/hg38_GPX7', 'bio/hg19_GUCY1A3', 'bio/hg19_PIWIL4', 'bio/hg38_PIWIL4', 'bio/hg19_NR1H4', 'bio/hg38_NR1H4', 'bio/hg19_TRIM33', 'bio/hg38_TRIM33', 'bio/hg19_APAF1', 'bio/hg38_APAF1', 'bio/hg19_AOC3', 'bio/hg38_AOC3', 'bio/hg19_GCKR', 'bio/hg38_GCKR', 'bio/hg19_P2RX1', 'bio/hg38_P2RX1', 'bio/hg19_BDKRB1', 'bio/hg38_BDKRB1', 'bio/hg19_SEPT4', 'bio/hg38_SEPT4', 'bio/hg19_S100A12', 'bio/hg38_S100A12', 'bio/hg19_NRAS', 'bio/hg38_NRAS', 'bio/hg19_FAM156B', 'bio/hg38_FAM156B', 'bio/hg19_KIR2DL4', 'bio/hg38_KIR2DL4', 'bio/hg19_IPMK', 'bio/hg38_IPMK', 'bio/hg19_JUN', 'bio/hg38_JUN', 'bio/hg19_SHROOM2', 'bio/hg38_SHROOM2', 'bio/hg19_WNT1', 'bio/hg38_WNT1', 'bio/hg19_IFNA21', 'bio/hg38_IFNA21', 'bio/hg19_SH3GLB1', 'bio/hg38_SH3GLB1', 'bio/hg19_ITGB7', 'bio/hg38_ITGB7', 'bio/hg19_PTX3', 'bio/hg38_PTX3', 'bio/hg19_TCOF1', 'bio/hg38_TCOF1', 'bio/hg19_CSF2RA', 'bio/hg38_CSF2RA', 'bio/hg19_NEU2', 'bio/hg38_NEU2', 'bio/hg19_PSMB9', 'bio/hg38_PSMB9', 'bio/hg19_DAP', 'bio/hg38_DAP', 'bio/hg19_ICAM2', 'bio/hg38_ICAM2', 'bio/hg19_TYROBP', 'bio/hg38_TYROBP', 'bio/hg19_NXPE1', 'bio/hg38_NXPE1', 'bio/hg19_SLC26A2', 'bio/hg38_SLC26A2', 'bio/hg19_RSPO3', 'bio/hg38_RSPO3', 'bio/hg19_LINC01475', 'bio/hg38_LINC01475', 'bio/hg19_ATG7', 'bio/hg38_ATG7', 'bio/hg19_LY96', 'bio/hg38_LY96', 'bio/hg19_NR1I3', 'bio/hg38_NR1I3', 'bio/hg19_SBNO2', 'bio/hg38_SBNO2', 'bio/hg19_CLEC10A', 'bio/hg38_CLEC10A', 'bio/hg19_CUL5', 'bio/hg38_CUL5', 'bio/hg19_IFNGR2', 'bio/hg38_IFNGR2', 'bio/hg19_UBD', 'bio/hg38_UBD', 'bio/hg19_MAP3K3', 'bio/hg38_MAP3K3', 'bio/hg19_PTGER4', 'bio/hg38_PTGER4', 'bio/hg19_DNER', 'bio/hg38_DNER', 'bio/hg19_GLP2R', 'bio/hg38_GLP2R', 'bio/hg19_IRGM', 'bio/hg38_IRGM', 'bio/hg19_C2orf49', 'bio/hg38_C2orf49', 'bio/hg19_OR10A3', 'bio/hg38_OR10A3', 'bio/hg19_ODC1', 'bio/hg38_ODC1', 'bio/hg19_SCN5A', 'bio/hg38_SCN5A', 'bio/hg19_LRRIQ3', 'bio/hg38_LRRIQ3', 'bio/hg19_CD200R1', 'bio/hg38_CD200R1', 'bio/hg19_ANXA2', 'bio/hg38_ANXA2', 'bio/hg19_FYB', 'bio/hg19_KCNK2', 'bio/hg38_KCNK2', 'bio/hg19_SPNS1', 'bio/hg38_SPNS1', 'bio/hg19_MAMSTR', 'bio/hg38_MAMSTR', 'bio/hg19_TNXB', 'bio/hg38_TNXB', 'bio/hg19_TBX21', 'bio/hg38_TBX21', 'bio/hg19_ARF3', 'bio/hg38_ARF3', 'bio/hg19_RALB', 'bio/hg38_RALB', 'bio/hg19_CBL', 'bio/hg38_CBL', 'bio/hg19_CD5L', 'bio/hg38_CD5L', 'bio/hg19_DNAJC13', 'bio/hg38_DNAJC13', 'bio/hg19_ST3GAL2', 'bio/hg38_ST3GAL2', 'bio/hg19_TRAT1', 'bio/hg38_TRAT1', 'bio/hg19_SENP8', 'bio/hg38_SENP8', 'bio/hg19_PDGFB', 'bio/hg38_PDGFB', 'bio/hg19_CHAT', 'bio/hg38_CHAT', 'bio/hg19_WNT2', 'bio/hg38_WNT2', 'bio/hg19_CSF3', 'bio/hg38_CSF3', 'bio/hg19_HPSE', 'bio/hg38_HPSE', 'bio/hg19_EPHB3', 'bio/hg38_EPHB3', 'bio/hg19_ACHE', 'bio/hg38_ACHE', 'bio/hg19_CSK', 'bio/hg38_CSK', 'bio/hg19_SLCO1C1', 'bio/hg38_SLCO1C1', 'bio/hg19_SCGB1A1', 'bio/hg38_SCGB1A1', 'bio/hg19_CRLF2', 'bio/hg38_CRLF2', 'bio/hg19_SEC11A', 'bio/hg38_SEC11A', 'bio/hg19_HPX', 'bio/hg38_HPX', 'bio/hg19_HIST2H3PS2', 'bio/hg38_HIST2H3PS2', 'bio/hg19_IPP', 'bio/hg38_IPP', 'bio/hg19_ZEB1', 'bio/hg38_ZEB1', 'bio/hg19_MMP8', 'bio/hg38_MMP8', 'bio/hg19_UBLCP1', 'bio/hg38_UBLCP1', 'bio/hg19_FCGR2A', 'bio/hg38_FCGR2A', 'bio/hg19_SLC6A14', 'bio/hg38_SLC6A14', 'bio/hg19_ACE2', 'bio/hg38_ACE2', 'bio/hg19_DNAH3', 'bio/hg38_DNAH3', 'bio/hg19_CCL23', 'bio/hg38_CCL23', 'bio/hg19_HBS1L', 'bio/hg38_HBS1L', 'bio/hg19_CNTF', 'bio/hg38_CNTF', 'bio/hg19_MGAM', 'bio/hg38_MGAM', 'bio/hg19_GPR84', 'bio/hg38_GPR84', 'bio/hg19_CSHL1', 'bio/hg38_CSHL1', 'bio/hg19_ACTA2', 'bio/hg38_ACTA2', 'bio/hg19_PDLIM5', 'bio/hg38_PDLIM5', 'bio/hg19_RNF5', 'bio/hg38_RNF5', 'bio/hg19_C1orf68', 'bio/hg38_C1orf68', 'bio/hg19_CMA1', 'bio/hg38_CMA1', 'bio/hg19_CD80', 'bio/hg38_CD80', 'bio/hg19_GRP', 'bio/hg38_GRP', 'bio/hg19_DUSP16', 'bio/hg38_DUSP16', 'bio/hg19_UGT1A1', 'bio/hg38_UGT1A1', 'bio/hg19_MRPS7', 'bio/hg38_MRPS7', 'bio/hg19_MS4A4A', 'bio/hg38_MS4A4A', 'bio/hg19_SEMA3G', 'bio/hg38_SEMA3G', 'bio/hg19_GBP6', 'bio/hg38_GBP6', 'bio/hg19_TGM6', 'bio/hg38_TGM6', 'bio/hg19_KIR2DL1', 'bio/hg38_KIR2DL1', 'bio/hg19_LAT2', 'bio/hg38_LAT2', 'bio/hg19_TOR1A', 'bio/hg38_TOR1A', 'bio/hg19_PPP2R3C', 'bio/hg38_PPP2R3C', 'bio/hg19_GSDMD', 'bio/hg38_GSDMD', 'bio/hg19_BTNL2', 'bio/hg38_BTNL2', 'bio/hg19_DCT', 'bio/hg38_DCT', 'bio/hg19_CPSF3L', 'bio/hg19_HBEGF', 'bio/hg38_HBEGF', 'bio/hg19_KLF5', 'bio/hg38_KLF5', 'bio/hg19_CEBPE', 'bio/hg38_CEBPE', 'bio/hg19_FRG1B', 'bio/hg19_SPN', 'bio/hg38_SPN', 'bio/hg19_FUT4', 'bio/hg38_FUT4', 'bio/hg19_RHOB', 'bio/hg38_RHOB', 'bio/hg19_PCK1', 'bio/hg38_PCK1', 'bio/hg19_CXCL11', 'bio/hg38_CXCL11', 'bio/hg19_TAB3', 'bio/hg38_TAB3', 'bio/hg19_SNAI2', 'bio/hg38_SNAI2', 'bio/hg19_LANCL2', 'bio/hg38_LANCL2', 'bio/hg19_HBA2', 'bio/hg38_HBA2', 'bio/hg19_MGP', 'bio/hg38_MGP', 'bio/hg19_TMEM173', 'bio/hg38_TMEM173', 'bio/hg19_GPX3', 'bio/hg38_GPX3', 'bio/hg19_NUP210', 'bio/hg38_NUP210', 'bio/hg19_ORMDL3', 'bio/hg38_ORMDL3', 'bio/hg19_SRI', 'bio/hg38_SRI', 'bio/hg19_CASP7', 'bio/hg38_CASP7', 'bio/hg19_FGG', 'bio/hg38_FGG', 'bio/hg19_CPEB4', 'bio/hg38_CPEB4', 'bio/hg19_CD3G', 'bio/hg38_CD3G', 'bio/hg19_DSG1', 'bio/hg38_DSG1', 'bio/hg19_PERP', 'bio/hg38_PERP', 'bio/hg19_GLG1', 'bio/hg38_GLG1', 'bio/hg19_TIMP3', 'bio/hg38_TIMP3', 'bio/hg19_NPIPB8', 'bio/hg38_NPIPB8', 'bio/hg19_IFNAR1', 'bio/hg38_IFNAR1', 'bio/hg19_JAG1', 'bio/hg38_JAG1', 'bio/hg19_NES', 'bio/hg38_NES', 'bio/hg19_CA7', 'bio/hg38_CA7', 'bio/hg19_GSTM1', 'bio/hg38_GSTM1', 'bio/hg19_LOH12CR1', 'bio/hg19_KLKB1', 'bio/hg38_KLKB1', 'bio/hg19_PTGER3', 'bio/hg38_PTGER3', 'bio/hg19_SPESP1', 'bio/hg38_SPESP1', 'bio/hg19_CSMD1', 'bio/hg38_CSMD1', 'bio/hg19_MZF1', 'bio/hg38_MZF1', 'bio/hg19_DSC1', 'bio/hg38_DSC1', 'bio/hg19_HIST1H4H', 'bio/hg38_HIST1H4H', 'bio/hg19_PYDC1', 'bio/hg38_PYDC1', 'bio/hg19_TNFRSF14', 'bio/hg38_TNFRSF14', 'bio/hg19_TNFRSF6B', 'bio/hg38_TNFRSF6B', 'bio/hg19_CHST4', 'bio/hg38_CHST4', 'bio/hg19_FCRL4', 'bio/hg38_FCRL4', 'bio/hg19_CRHR1', 'bio/hg38_CRHR1', 'bio/hg19_CA1', 'bio/hg38_CA1', 'bio/hg19_CDKN3', 'bio/hg38_CDKN3', 'bio/hg19_SLC7A2', 'bio/hg38_SLC7A2', 'bio/hg19_THEMIS', 'bio/hg38_THEMIS', 'bio/hg19_PLA2G5', 'bio/hg38_PLA2G5', 'bio/hg19_ABHD8', 'bio/hg38_ABHD8', 'bio/hg19_TSPO', 'bio/hg38_TSPO', 'bio/hg19_RNASET2', 'bio/hg38_RNASET2', 'bio/hg19_RBFOX3', 'bio/hg38_RBFOX3', 'bio/hg19_TGM2', 'bio/hg38_TGM2', 'bio/hg19_TPI1', 'bio/hg38_TPI1', 'bio/hg19_RGS4', 'bio/hg38_RGS4', 'bio/hg19_HNMT', 'bio/hg38_HNMT', 'bio/hg19_GNA12', 'bio/hg38_GNA12', 'bio/hg19_ERBB3', 'bio/hg38_ERBB3', 'bio/hg19_IL17B', 'bio/hg38_IL17B', 'bio/hg19_SBK1', 'bio/hg38_SBK1', 'bio/hg19_LPO', 'bio/hg38_LPO', 'bio/hg19_CRTC3', 'bio/hg38_CRTC3', 'bio/hg19_RCL1', 'bio/hg38_RCL1', 'bio/hg19_MYLK3', 'bio/hg38_MYLK3', 'bio/hg19_FABP4', 'bio/hg38_FABP4', 'bio/hg19_SFTPC', 'bio/hg38_SFTPC', 'bio/hg19_BAG3', 'bio/hg38_BAG3', 'bio/hg19_UHRF1', 'bio/hg38_UHRF1', 'bio/hg19_USP17L3', 'bio/hg38_USP17L3', 'bio/hg19_TNFAIP2', 'bio/hg38_TNFAIP2', 'bio/hg19_BSN', 'bio/hg38_BSN', 'bio/hg19_CSNK2A1', 'bio/hg38_CSNK2A1', 'bio/hg19_CSF3R', 'bio/hg38_CSF3R', 'bio/hg19_UGT1A6', 'bio/hg38_UGT1A6', 'bio/hg19_CEMIP', 'bio/hg38_CEMIP', 'bio/hg19_PAH', 'bio/hg38_PAH', 'bio/hg19_HEATR3', 'bio/hg38_HEATR3', 'bio/hg19_CD207', 'bio/hg38_CD207', 'bio/hg19_GNB2L1', 'bio/hg19_ARG1', 'bio/hg38_ARG1', 'bio/hg19_CNR2', 'bio/hg38_CNR2', 'bio/hg19_MCL1', 'bio/hg38_MCL1', 'bio/hg19_IFITM1', 'bio/hg38_IFITM1', 'bio/hg19_ZPBP2', 'bio/hg38_ZPBP2', 'bio/hg19_TXNDC15', 'bio/hg38_TXNDC15', 'bio/hg19_CCL5', 'bio/hg38_CCL5', 'bio/hg19_PCSK7', 'bio/hg38_PCSK7', 'bio/hg19_SOCS7', 'bio/hg38_SOCS7', 'bio/hg19_DUSP1', 'bio/hg38_DUSP1', 'bio/hg19_IL5', 'bio/hg38_IL5', 'bio/hg19_RHOH', 'bio/hg38_RHOH', 'bio/hg19_PLA2G4B', 'bio/hg38_PLA2G4B', 'bio/hg19_YES1', 'bio/hg38_YES1', 'bio/hg19_TSPAN14', 'bio/hg38_TSPAN14', 'bio/hg19_TSC22D3', 'bio/hg38_TSC22D3', 'bio/hg19_SELE', 'bio/hg38_SELE', 'bio/hg19_GATA2', 'bio/hg38_GATA2', 'bio/hg19_APBA1', 'bio/hg38_APBA1', 'bio/hg19_STAT3', 'bio/hg38_STAT3', 'bio/hg19_SULT1A2', 'bio/hg38_SULT1A2', 'bio/hg19_ASIC3', 'bio/hg38_ASIC3', 'bio/hg19_CLDN3', 'bio/hg38_CLDN3', 'bio/hg19_IL13', 'bio/hg38_IL13', 'bio/hg19_CUBN', 'bio/hg38_CUBN', 'bio/hg19_CTSB', 'bio/hg38_CTSB', 'bio/hg19_NOXO1', 'bio/hg38_NOXO1', 'bio/hg19_WDR6', 'bio/hg38_WDR6', 'bio/hg19_MAP3K7', 'bio/hg38_MAP3K7', 'bio/hg19_UBASH3A', 'bio/hg38_UBASH3A', 'bio/hg19_CD34', 'bio/hg38_CD34', 'bio/hg19_IFNGR1', 'bio/hg38_IFNGR1', 'bio/hg19_NAT1', 'bio/hg38_NAT1', 'bio/hg19_SLC30A1', 'bio/hg38_SLC30A1', 'bio/hg19_CDH5', 'bio/hg38_CDH5', 'bio/hg19_A2M', 'bio/hg38_A2M', 'bio/hg19_EFNB2', 'bio/hg38_EFNB2', 'bio/hg19_TRIM41', 'bio/hg38_TRIM41', 'bio/hg19_NOD1', 'bio/hg38_NOD1', 'bio/hg19_MTRR', 'bio/hg38_MTRR', 'bio/hg19_PDE4A', 'bio/hg38_PDE4A', 'bio/hg19_MKKS', 'bio/hg38_MKKS', 'bio/hg19_SFRP2', 'bio/hg38_SFRP2', 'bio/hg19_ZNF740', 'bio/hg38_ZNF740', 'bio/hg19_UBE2V1', 'bio/hg38_UBE2V1', 'bio/hg19_IGFBP4', 'bio/hg38_IGFBP4', 'bio/hg19_AGPS', 'bio/hg38_AGPS', 'bio/hg19_GP6', 'bio/hg38_GP6', 'bio/hg19_SIL1', 'bio/hg38_SIL1', 'bio/hg19_PGM1', 'bio/hg38_PGM1', 'bio/hg19_IMPDH2', 'bio/hg38_IMPDH2', 'bio/hg19_ELF3', 'bio/hg38_ELF3', 'bio/hg19_RXRA', 'bio/hg38_RXRA', 'bio/hg19_HIST2H4A', 'bio/hg38_HIST2H4A', 'bio/hg19_GATA1', 'bio/hg38_GATA1', 'bio/hg19_ACP5', 'bio/hg38_ACP5', 'bio/hg19_MT1F', 'bio/hg38_MT1F', 'bio/hg19_RAB8A', 'bio/hg38_RAB8A', 'bio/hg19_PMCH', 'bio/hg38_PMCH', 'bio/hg19_CD69', 'bio/hg38_CD69', 'bio/hg19_NISCH', 'bio/hg38_NISCH', 'bio/hg19_PLA2G2D', 'bio/hg38_PLA2G2D', 'bio/hg19_TFEB', 'bio/hg38_TFEB', 'bio/hg19_IFNA1', 'bio/hg38_IFNA1', 'bio/hg19_CALCOCO2', 'bio/hg38_CALCOCO2', 'bio/hg19_BTLA', 'bio/hg38_BTLA', 'bio/hg19_CXCL13', 'bio/hg38_CXCL13', 'bio/hg19_LTB', 'bio/hg38_LTB', 'bio/hg19_VMP1', 'bio/hg38_VMP1', 'bio/hg19_FFAR3', 'bio/hg38_FFAR3', 'bio/hg19_APPL1', 'bio/hg38_APPL1', 'bio/hg19_TRIM35', 'bio/hg38_TRIM35', 'bio/hg19_STAT1', 'bio/hg38_STAT1', 'bio/hg19_HNF4A-AS1', 'bio/hg38_HNF4A-AS1', 'bio/hg19_NFIC', 'bio/hg38_NFIC', 'bio/hg19_CRH', 'bio/hg38_CRH', 'bio/hg19_MUT', 'bio/hg38_MUT', 'bio/hg19_ALPI', 'bio/hg38_ALPI', 'bio/hg19_P2RX2', 'bio/hg38_P2RX2', 'bio/hg19_UTS2', 'bio/hg38_UTS2', 'bio/hg19_CDC25A', 'bio/hg38_CDC25A', 'bio/hg19_TNFRSF18', 'bio/hg38_TNFRSF18', 'bio/hg19_THADA', 'bio/hg38_THADA', 'bio/hg19_SLC1A5', 'bio/hg38_SLC1A5', 'bio/hg19_SNAPC4', 'bio/hg38_SNAPC4', 'bio/hg19_FBN1', 'bio/hg38_FBN1', 'bio/hg19_INSRR', 'bio/hg38_INSRR', 'bio/hg19_NOTCH2', 'bio/hg38_NOTCH2', 'bio/hg19_MDK', 'bio/hg38_MDK', 'bio/hg19_AIRE', 'bio/hg38_AIRE', 'bio/hg19_LILRA6', 'bio/hg38_LILRA6', 'bio/hg19_C2orf43', 'bio/hg19_UST', 'bio/hg38_UST', 'bio/hg19_F2', 'bio/hg38_F2', 'bio/hg19_RNASET2', 'bio/hg38_RNASET2', 'bio/hg19_CD83', 'bio/hg38_CD83', 'bio/hg19_CTSV', 'bio/hg38_CTSV', 'bio/hg19_PRDM1', 'bio/hg38_PRDM1', 'bio/hg19_HHEX', 'bio/hg38_HHEX', 'bio/hg19_DISC1', 'bio/hg38_DISC1', 'bio/hg19_C10orf67', 'bio/hg38_C10orf67', 'bio/hg19_HOMER1', 'bio/hg38_HOMER1', 'bio/hg19_PGAM5', 'bio/hg38_PGAM5', 'bio/hg19_COL18A1', 'bio/hg38_COL18A1', 'bio/hg19_CCL4L1', 'bio/hg38_CCL4L1', 'bio/hg19_ALYREF', 'bio/hg38_ALYREF', 'bio/hg19_C16orf45', 'bio/hg38_C16orf45', 'bio/hg19_GFI1', 'bio/hg38_GFI1', 'bio/hg19_MUC15', 'bio/hg38_MUC15', 'bio/hg19_LMNB1', 'bio/hg38_LMNB1', 'bio/hg19_P2RX7', 'bio/hg38_P2RX7', 'bio/hg19_WNT2B', 'bio/hg38_WNT2B', 'bio/hg19_VLDLR', 'bio/hg38_VLDLR', 'bio/hg19_DHRS9', 'bio/hg38_DHRS9', 'bio/hg19_KLRC2', 'bio/hg38_KLRC2', 'bio/hg19_SLC7A3', 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'bio/hg19_MLN', 'bio/hg38_MLN', 'bio/hg19_FKBP1A', 'bio/hg38_FKBP1A', 'bio/hg19_SLC11A1', 'bio/hg38_SLC11A1', 'bio/hg19_TAGAP', 'bio/hg38_TAGAP', 'bio/hg19_CD93', 'bio/hg38_CD93', 'bio/hg19_CYP1B1', 'bio/hg38_CYP1B1', 'bio/hg19_GPR39', 'bio/hg38_GPR39', 'bio/hg19_RGS18', 'bio/hg38_RGS18', 'bio/hg19_PTGDR2', 'bio/hg38_PTGDR2', 'bio/hg19_SERPINB5', 'bio/hg38_SERPINB5', 'bio/hg19_CPE', 'bio/hg38_CPE', 'bio/hg19_PRF1', 'bio/hg38_PRF1', 'bio/hg19_ICAM3', 'bio/hg38_ICAM3', 'bio/hg19_BMP6', 'bio/hg38_BMP6', 'bio/hg19_ENPP3', 'bio/hg38_ENPP3', 'bio/hg19_CELSR2', 'bio/hg38_CELSR2', 'bio/hg19_P2RX6', 'bio/hg38_P2RX6', 'bio/hg19_FHL2', 'bio/hg38_FHL2', 'bio/hg19_IL2RG', 'bio/hg38_IL2RG', 'bio/hg19_IL6', 'bio/hg38_IL6', 'bio/hg19_SERPINA4', 'bio/hg38_SERPINA4', 'bio/hg19_CLDN8', 'bio/hg38_CLDN8', 'bio/hg19_FCGBP', 'bio/hg38_FCGBP', 'bio/hg19_SFTPD', 'bio/hg38_SFTPD', 'bio/hg19_IL1F10', 'bio/hg38_IL1F10', 'bio/hg19_DEFA3', 'bio/hg38_DEFA3', 'bio/hg19_PHGDH', 'bio/hg38_PHGDH', 'bio/hg19_SLC26A6', 'bio/hg38_SLC26A6', 'bio/hg19_LPL', 'bio/hg38_LPL', 'bio/hg19_TAGLN', 'bio/hg38_TAGLN', 'bio/hg19_CLDN4', 'bio/hg38_CLDN4', 'bio/hg19_PRKCQ', 'bio/hg38_PRKCQ', 'bio/hg19_NQO1', 'bio/hg38_NQO1', 'bio/hg19_TRAF7', 'bio/hg38_TRAF7', 'bio/hg19_NPFFR2', 'bio/hg38_NPFFR2', 'bio/hg19_USP4', 'bio/hg38_USP4', 'bio/hg19_USP45', 'bio/hg38_USP45', 'bio/hg19_KAT2B', 'bio/hg38_KAT2B', 'bio/hg19_PPY', 'bio/hg38_PPY', 'bio/hg19_STAT3', 'bio/hg38_STAT3', 'bio/hg19_FLT3LG', 'bio/hg38_FLT3LG', 'bio/hg19_SORT1', 'bio/hg38_SORT1', 'bio/hg19_SLC39A11', 'bio/hg38_SLC39A11', 'bio/hg19_C22orf29', 'bio/hg19_PTGES2', 'bio/hg38_PTGES2', 'bio/hg19_IL24', 'bio/hg38_IL24', 'bio/hg19_RPS6KA4', 'bio/hg38_RPS6KA4', 'bio/hg19_EPO', 'bio/hg38_EPO', 'bio/hg19_ITIH3', 'bio/hg38_ITIH3', 'bio/hg19_LMNA', 'bio/hg38_LMNA', 'bio/hg19_COLEC12', 'bio/hg38_COLEC12', 'bio/hg19_EIF3C', 'bio/hg38_EIF3C', 'bio/hg19_NUPR1', 'bio/hg38_NUPR1', 'bio/hg19_HNF1A', 'bio/hg38_HNF1A', 'bio/hg19_HSPA4', 'bio/hg38_HSPA4', 'bio/hg19_CDK1', 'bio/hg38_CDK1', 'bio/hg19_MC4R', 'bio/hg38_MC4R', 'bio/hg19_PSMD4', 'bio/hg38_PSMD4', 'bio/hg19_PTPN1', 'bio/hg38_PTPN1', 'bio/hg19_ADCY8', 'bio/hg38_ADCY8', 'bio/hg19_CYSLTR1', 'bio/hg38_CYSLTR1', 'bio/hg19_ESX1', 'bio/hg38_ESX1', 'bio/hg19_DLG5', 'bio/hg38_DLG5', 'bio/hg19_HIST1H4C', 'bio/hg38_HIST1H4C', 'bio/hg19_BAK1', 'bio/hg38_BAK1', 'bio/hg19_SND1-IT1', 'bio/hg38_SND1-IT1', 'bio/hg19_TSC2', 'bio/hg38_TSC2', 'bio/hg19_RERE', 'bio/hg38_RERE', 'bio/hg19_IL36B', 'bio/hg38_IL36B', 'bio/hg19_APEH', 'bio/hg38_APEH', 'bio/hg19_CTSK', 'bio/hg38_CTSK', 'bio/hg19_AIM2', 'bio/hg38_AIM2', 'bio/hg19_RET', 'bio/hg38_RET', 'bio/hg19_DUSP4', 'bio/hg38_DUSP4', 'bio/hg19_ERBB4', 'bio/hg38_ERBB4', 'bio/hg19_TCHP', 'bio/hg38_TCHP', 'bio/hg19_MUC13', 'bio/hg38_MUC13', 'bio/hg19_EPHX2', 'bio/hg38_EPHX2', 'bio/hg19_PSMD3', 'bio/hg38_PSMD3', 'bio/hg19_XPO5', 'bio/hg38_XPO5', 'bio/hg19_FCN3', 'bio/hg38_FCN3', 'bio/hg19_DNAJC3', 'bio/hg38_DNAJC3', 'bio/hg19_TLR9', 'bio/hg38_TLR9', 'bio/hg19_TBXAS1', 'bio/hg38_TBXAS1', 'bio/hg19_IL3RA', 'bio/hg38_IL3RA', 'bio/hg19_SLC6A3', 'bio/hg38_SLC6A3', 'bio/hg19_CYP8B1', 'bio/hg38_CYP8B1', 'bio/hg19_LTF', 'bio/hg38_LTF', 'bio/hg19_DDT', 'bio/hg38_DDT', 'bio/hg19_BCL2L1', 'bio/hg38_BCL2L1', 'bio/hg19_TRPM8', 'bio/hg38_TRPM8', 'bio/hg19_RAC1', 'bio/hg38_RAC1', 'bio/hg19_PPARA', 'bio/hg38_PPARA', 'bio/hg19_PPARGC1A', 'bio/hg38_PPARGC1A', 'bio/hg19_NFATC1', 'bio/hg38_NFATC1', 'bio/hg19_RAB33A', 'bio/hg38_RAB33A', 'bio/hg19_MIF', 'bio/hg38_MIF', 'bio/hg19_TICAM1', 'bio/hg38_TICAM1', 'bio/hg19_TRIM21', 'bio/hg38_TRIM21', 'bio/hg19_PPP1R14B', 'bio/hg38_PPP1R14B', 'bio/hg19_PRKCA', 'bio/hg38_PRKCA', 'bio/hg19_LY9', 'bio/hg38_LY9', 'bio/hg19_F2R', 'bio/hg38_F2R', 'bio/hg19_SNX21', 'bio/hg38_SNX21', 'bio/hg19_HNRNPH3', 'bio/hg38_HNRNPH3', 'bio/hg19_DARS', 'bio/hg38_DARS', 'bio/hg19_IL1B', 'bio/hg38_IL1B', 'bio/hg19_RHAG', 'bio/hg38_RHAG', 'bio/hg19_KLRG1', 'bio/hg38_KLRG1', 'bio/hg19_SOCS3', 'bio/hg38_SOCS3', 'bio/hg19_NPIPB6', 'bio/hg38_NPIPB6', 'bio/hg19_BST2', 'bio/hg38_BST2', 'bio/hg19_ITGAE', 'bio/hg38_ITGAE', 'bio/hg19_PTRF', 'bio/hg19_CNOT1', 'bio/hg38_CNOT1', 'bio/hg19_ULK2', 'bio/hg38_ULK2', 'bio/hg19_ZNF365', 'bio/hg38_ZNF365', 'bio/hg19_ZGPAT', 'bio/hg38_ZGPAT', 'bio/hg19_NLRP11', 'bio/hg38_NLRP11', 'bio/hg19_HIST4H4', 'bio/hg38_HIST4H4', 'bio/hg19_ATG16L1', 'bio/hg38_ATG16L1', 'bio/hg19_ATF2', 'bio/hg38_ATF2', 'bio/hg19_HIST2H4B', 'bio/hg38_HIST2H4B', 'bio/hg19_SEPP1', 'bio/hg19_CD180', 'bio/hg38_CD180', 'bio/hg19_KNG1', 'bio/hg38_KNG1', 'bio/hg19_PYHIN1', 'bio/hg38_PYHIN1', 'bio/hg19_ACAT1', 'bio/hg38_ACAT1', 'bio/hg19_SLC25A15', 'bio/hg38_SLC25A15', 'bio/hg19_REG4', 'bio/hg38_REG4', 'bio/hg19_SPRED2', 'bio/hg38_SPRED2', 'bio/hg19_CBX8', 'bio/hg38_CBX8', 'bio/hg19_OPRL1', 'bio/hg38_OPRL1', 'bio/hg19_ST6GALNAC1', 'bio/hg38_ST6GALNAC1', 'bio/hg19_IL16', 'bio/hg38_IL16', 'bio/hg19_TUBB6', 'bio/hg38_TUBB6', 'bio/hg19_DEFB1', 'bio/hg38_DEFB1', 'bio/hg19_ATG9A', 'bio/hg38_ATG9A', 'bio/hg19_ITPR1', 'bio/hg38_ITPR1', 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'bio/hg38_DEFB103B', 'bio/hg19_MICA', 'bio/hg38_MICA', 'bio/hg19_MAPKBP1', 'bio/hg38_MAPKBP1', 'bio/hg19_NLRP6', 'bio/hg38_NLRP6', 'bio/hg19_HDC', 'bio/hg38_HDC', 'bio/hg19_CCKAR', 'bio/hg38_CCKAR', 'bio/hg19_TMEM258', 'bio/hg38_TMEM258', 'bio/hg19_DSG3', 'bio/hg38_DSG3', 'bio/hg19_DEFB105B', 'bio/hg38_DEFB105B', 'bio/hg19_SNX25', 'bio/hg38_SNX25', 'bio/hg19_PARK7', 'bio/hg38_PARK7', 'bio/hg19_F7', 'bio/hg38_F7', 'bio/hg19_KRT18', 'bio/hg38_KRT18', 'bio/hg19_GSDMB', 'bio/hg38_GSDMB', 'bio/hg19_HTRA1', 'bio/hg38_HTRA1', 'bio/hg19_LOXL2', 'bio/hg38_LOXL2', 'bio/hg19_SIAE', 'bio/hg38_SIAE', 'bio/hg19_GTPBP3', 'bio/hg38_GTPBP3', 'bio/hg19_KCNN4', 'bio/hg38_KCNN4', 'bio/hg19_TCTA', 'bio/hg38_TCTA', 'bio/hg19_LRRC32', 'bio/hg38_LRRC32', 'bio/hg19_CCR9', 'bio/hg38_CCR9', 'bio/hg19_ALOX15', 'bio/hg38_ALOX15', 'bio/hg19_ALPPL2', 'bio/hg19_IDO2', 'bio/hg38_IDO2', 'bio/hg19_LAMA5', 'bio/hg38_LAMA5', 'bio/hg19_DDX58', 'bio/hg38_DDX58', 'bio/hg19_PARK7', 'bio/hg38_PARK7', 'bio/hg19_ADAMDEC1', 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'bio/hg19_FFAR2', 'bio/hg38_FFAR2', 'bio/hg19_ARFRP1', 'bio/hg38_ARFRP1', 'bio/hg19_MET', 'bio/hg38_MET', 'bio/hg19_TRIM39', 'bio/hg38_TRIM39', 'bio/hg19_RAET1G', 'bio/hg38_RAET1G', 'bio/hg19_WNT3', 'bio/hg38_WNT3', 'bio/hg19_ABCC1', 'bio/hg38_ABCC1', 'bio/hg19_MEP1B', 'bio/hg38_MEP1B', 'bio/hg19_SHC1', 'bio/hg38_SHC1', 'bio/hg19_DPYD', 'bio/hg38_DPYD', 'bio/hg19_CYP24A1', 'bio/hg38_CYP24A1', 'bio/hg19_XCL1', 'bio/hg38_XCL1', 'bio/hg19_TERT', 'bio/hg38_TERT', 'bio/hg19_THBS1', 'bio/hg38_THBS1', 'bio/hg19_DEF8', 'bio/hg38_DEF8', 'bio/hg19_HHEX', 'bio/hg38_HHEX', 'bio/hg19_HP', 'bio/hg38_HP', 'bio/hg19_NPY', 'bio/hg38_NPY', 'bio/hg19_HLA-DPB1', 'bio/hg38_HLA-DPB1', 'bio/hg19_THADA', 'bio/hg38_THADA', 'bio/hg19_CFHR3', 'bio/hg38_CFHR3', 'bio/hg19_CLEC2L', 'bio/hg38_CLEC2L', 'bio/hg19_CANX', 'bio/hg38_CANX', 'bio/hg19_TRAF3IP2', 'bio/hg38_TRAF3IP2', 'bio/hg19_SLA', 'bio/hg38_SLA', 'bio/hg19_FCER2', 'bio/hg38_FCER2', 'bio/hg19_ERICD', 'bio/hg38_ERICD', 'bio/hg19_ADAM30', 'bio/hg38_ADAM30', 'bio/hg19_CTNND1', 'bio/hg38_CTNND1', 'bio/hg19_ARID3B', 'bio/hg38_ARID3B', 'bio/hg19_PPARD', 'bio/hg38_PPARD', 'bio/hg19_CA2', 'bio/hg38_CA2', 'bio/hg19_IFNA17', 'bio/hg38_IFNA17', 'bio/hg19_RAP1GAP2', 'bio/hg38_RAP1GAP2', 'bio/hg19_CLCA1', 'bio/hg38_CLCA1', 'bio/hg19_SSTR5', 'bio/hg38_SSTR5', 'bio/hg19_SPON1', 'bio/hg38_SPON1', 'bio/hg19_GRB10', 'bio/hg38_GRB10', 'bio/hg19_CALB1', 'bio/hg38_CALB1', 'bio/hg19_CAPN10', 'bio/hg38_CAPN10', 'bio/hg19_PLP1', 'bio/hg38_PLP1', 'bio/hg19_BECN1', 'bio/hg38_BECN1', 'bio/hg19_GML', 'bio/hg38_GML', 'bio/hg19_HPS6', 'bio/hg38_HPS6', 'bio/hg19_CASP1', 'bio/hg38_CASP1', 'bio/hg19_CHP1', 'bio/hg38_CHP1', 'bio/hg19_TFAM', 'bio/hg38_TFAM', 'bio/hg19_RAG2', 'bio/hg38_RAG2', 'bio/hg19_SHFM1', 'bio/hg19_CARD8', 'bio/hg38_CARD8', 'bio/hg19_RASGRP1', 'bio/hg38_RASGRP1', 'bio/hg19_NFKB1', 'bio/hg38_NFKB1', 'bio/hg19_PDZD3', 'bio/hg38_PDZD3', 'bio/hg19_GLRX', 'bio/hg38_GLRX', 'bio/hg19_NKRF', 'bio/hg38_NKRF', 'bio/hg19_PGLYRP2', 'bio/hg38_PGLYRP2', 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'bio/hg19_CADM1', 'bio/hg38_CADM1', 'bio/hg19_KCNJ6', 'bio/hg38_KCNJ6', 'bio/hg19_IL37', 'bio/hg38_IL37', 'bio/hg19_CD300LF', 'bio/hg38_CD300LF', 'bio/hg19_LSP1', 'bio/hg38_LSP1', 'bio/hg19_DNMT3B', 'bio/hg38_DNMT3B', 'bio/hg19_GNAT3', 'bio/hg38_GNAT3', 'bio/hg19_DNAJB1', 'bio/hg38_DNAJB1', 'bio/hg19_COMMD9', 'bio/hg38_COMMD9', 'bio/hg19_LCN2', 'bio/hg38_LCN2', 'bio/hg19_LCK', 'bio/hg38_LCK', 'bio/hg19_CXCL16', 'bio/hg38_CXCL16', 'bio/hg19_CGN', 'bio/hg38_CGN', 'bio/hg19_NOX4', 'bio/hg38_NOX4', 'bio/hg19_KIAA0226', 'bio/hg19_HMGA2', 'bio/hg38_HMGA2', 'bio/hg19_EPHA4', 'bio/hg38_EPHA4', 'bio/hg19_ZBTB22', 'bio/hg38_ZBTB22', 'bio/hg19_FOXP2', 'bio/hg38_FOXP2', 'bio/hg19_PRSS53', 'bio/hg38_PRSS53', 'bio/hg19_SRC', 'bio/hg38_SRC', 'bio/hg19_LINC00994', 'bio/hg38_LINC00994', 'bio/hg19_AES', 'bio/hg38_AES', 'bio/hg19_PRKCZ', 'bio/hg38_PRKCZ', 'bio/hg19_PIWIL1', 'bio/hg38_PIWIL1', 'bio/hg19_CMKLR1', 'bio/hg38_CMKLR1', 'bio/hg19_DAP', 'bio/hg38_DAP', 'bio/hg19_ADAD1', 'bio/hg38_ADAD1', 'bio/hg19_LPXN', 'bio/hg38_LPXN', 'bio/hg19_CLEC2D', 'bio/hg38_CLEC2D', 'bio/hg19_PGK1', 'bio/hg38_PGK1', 'bio/hg19_RIPK4', 'bio/hg38_RIPK4', 'bio/hg19_PSKH1', 'bio/hg38_PSKH1', 'bio/hg19_LCE4A', 'bio/hg38_LCE4A', 'bio/hg19_NPY1R', 'bio/hg38_NPY1R', 'bio/hg19_FAF1', 'bio/hg38_FAF1', 'bio/hg19_DNTT', 'bio/hg38_DNTT', 'bio/hg19_BANK1', 'bio/hg38_BANK1', 'bio/hg19_FUT8', 'bio/hg38_FUT8', 'bio/hg19_IFI16', 'bio/hg38_IFI16', 'bio/hg19_KANSL1', 'bio/hg38_KANSL1', 'bio/hg19_JAK3', 'bio/hg38_JAK3', 'bio/hg19_PER3', 'bio/hg38_PER3', 'bio/hg19_C6orf10', 'bio/hg38_C6orf10', 'bio/hg19_DDC', 'bio/hg38_DDC', 'bio/hg19_SHBG', 'bio/hg38_SHBG', 'bio/hg19_TMEM17', 'bio/hg38_TMEM17', 'bio/hg19_PER2', 'bio/hg38_PER2', 'bio/hg19_FAM155A', 'bio/hg38_FAM155A', 'bio/hg19_BCO2', 'bio/hg38_BCO2', 'bio/hg19_MAPK10', 'bio/hg38_MAPK10', 'bio/hg19_FGF19', 'bio/hg38_FGF19', 'bio/hg19_S100B', 'bio/hg38_S100B', 'bio/hg19_KL', 'bio/hg38_KL', 'bio/hg19_CYP26A1', 'bio/hg38_CYP26A1', 'bio/hg19_SLC2A3', 'bio/hg38_SLC2A3', 'bio/hg19_KRT8', 'bio/hg38_KRT8', 'bio/hg19_CCDC122', 'bio/hg38_CCDC122', 'bio/hg19_ADAM15', 'bio/hg38_ADAM15', 'bio/hg19_SAMHD1', 'bio/hg38_SAMHD1', 'bio/hg19_BANK1', 'bio/hg38_BANK1', 'bio/hg19_C7orf72', 'bio/hg19_CD1C', 'bio/hg38_CD1C', 'bio/hg19_TRPC6', 'bio/hg38_TRPC6', 'bio/hg19_SSTR4', 'bio/hg38_SSTR4', 'bio/hg19_ARG2', 'bio/hg38_ARG2', 'bio/hg19_COL7A1', 'bio/hg38_COL7A1', 'bio/hg19_ETS2', 'bio/hg38_ETS2', 'bio/hg19_SMPD1', 'bio/hg38_SMPD1', 'bio/hg19_AQP8', 'bio/hg38_AQP8', 'bio/hg19_USP3', 'bio/hg38_USP3', 'bio/hg19_PDIA3', 'bio/hg38_PDIA3', 'bio/hg19_ADORA1', 'bio/hg38_ADORA1', 'bio/hg19_FST', 'bio/hg38_FST', 'bio/hg19_FDCSP', 'bio/hg38_FDCSP', 'bio/hg19_ZSCAN1', 'bio/hg38_ZSCAN1', 'bio/hg19_GLS2', 'bio/hg38_GLS2', 'bio/hg19_SMAD6', 'bio/hg38_SMAD6', 'bio/hg19_TXLNA', 'bio/hg38_TXLNA', 'bio/hg19_RC3H2', 'bio/hg38_RC3H2', 'bio/hg19_SRSF6', 'bio/hg38_SRSF6', 'bio/hg19_PDGFC', 'bio/hg38_PDGFC', 'bio/hg19_LGALS9', 'bio/hg38_LGALS9', 'bio/hg19_PCDH9', 'bio/hg38_PCDH9', 'bio/hg19_LYZ', 'bio/hg38_LYZ', 'bio/hg19_CLDN18', 'bio/hg38_CLDN18', 'bio/hg19_FCN2', 'bio/hg38_FCN2', 'bio/hg19_SLCO1B1', 'bio/hg38_SLCO1B1', 'bio/hg19_F10', 'bio/hg38_F10', 'bio/hg19_SIRPA', 'bio/hg38_SIRPA', 'bio/hg19_USP15', 'bio/hg38_USP15', 'bio/hg19_NPY4R', 'bio/hg38_NPY4R', 'bio/hg19_GZMA', 'bio/hg38_GZMA', 'bio/hg19_GATA3', 'bio/hg38_GATA3', 'bio/hg19_DAG1', 'bio/hg38_DAG1', 'bio/hg19_OLFM4', 'bio/hg38_OLFM4', 'bio/hg19_TPH1', 'bio/hg38_TPH1', 'bio/hg19_RHOA', 'bio/hg38_RHOA', 'bio/hg19_F3', 'bio/hg38_F3', 'bio/hg19_TAC1', 'bio/hg38_TAC1', 'bio/hg19_ALDH1A2', 'bio/hg38_ALDH1A2', 'bio/hg19_SPP1', 'bio/hg38_SPP1', 'bio/hg19_LRRK2', 'bio/hg38_LRRK2', 'bio/hg19_MMD', 'bio/hg38_MMD', 'bio/hg19_IL21-AS1', 'bio/hg38_IL21-AS1', 'bio/hg19_TOLLIP', 'bio/hg38_TOLLIP', 'bio/hg19_EXOC8', 'bio/hg38_EXOC8', 'bio/hg19_SLC51A', 'bio/hg38_SLC51A', 'bio/hg19_NGF', 'bio/hg38_NGF', 'bio/hg19_DTNBP1', 'bio/hg38_DTNBP1', 'bio/hg19_CHST15', 'bio/hg38_CHST15', 'bio/hg19_CCL24', 'bio/hg38_CCL24', 'bio/hg19_LIPE', 'bio/hg38_LIPE', 'bio/hg19_JAM3', 'bio/hg38_JAM3', 'bio/hg19_SLC51B', 'bio/hg38_SLC51B', 'bio/hg19_PRSS3', 'bio/hg38_PRSS3', 'bio/hg19_CYP7A1', 'bio/hg38_CYP7A1', 'bio/hg19_TUBB4A', 'bio/hg38_TUBB4A', 'bio/hg19_TFF3', 'bio/hg38_TFF3', 'bio/hg19_AKAP11', 'bio/hg38_AKAP11', 'bio/hg19_HNRNPL', 'bio/hg38_HNRNPL', 'bio/hg19_LTBR', 'bio/hg38_LTBR', 'bio/hg19_ARHGEF2', 'bio/hg38_ARHGEF2', 'bio/hg19_CXCR5', 'bio/hg38_CXCR5', 'bio/hg19_FOXO4', 'bio/hg38_FOXO4', 'bio/hg19_IL12B', 'bio/hg38_IL12B', 'bio/hg19_SAMD14', 'bio/hg38_SAMD14', 'bio/hg19_P4HB', 'bio/hg38_P4HB', 'bio/hg19_CLPB', 'bio/hg38_CLPB', 'bio/hg19_ETS1', 'bio/hg38_ETS1', 'bio/hg19_GAPDH', 'bio/hg38_GAPDH', 'bio/hg19_CCL2', 'bio/hg38_CCL2', 'bio/hg19_ERN1', 'bio/hg38_ERN1', 'bio/hg19_VTN', 'bio/hg38_VTN', 'bio/hg19_HPS5', 'bio/hg38_HPS5', 'bio/hg19_RAF1', 'bio/hg38_RAF1', 'bio/hg19_DPP4', 'bio/hg38_DPP4', 'bio/hg19_MAPK8', 'bio/hg38_MAPK8', 'bio/hg19_FOXA1', 'bio/hg38_FOXA1', 'bio/hg19_TAF1', 'bio/hg38_TAF1', 'bio/hg19_NRXN1', 'bio/hg38_NRXN1', 'bio/hg19_VPS16', 'bio/hg38_VPS16', 'bio/hg19_SCT', 'bio/hg38_SCT', 'bio/hg19_SPATA6', 'bio/hg38_SPATA6', 'bio/hg19_USE1', 'bio/hg38_USE1', 'bio/hg19_SH2B3', 'bio/hg38_SH2B3', 'bio/hg19_SHMT1', 'bio/hg38_SHMT1', 'bio/hg19_ELN', 'bio/hg38_ELN', 'bio/hg19_HIST1H4E', 'bio/hg38_HIST1H4E', 'bio/hg19_UGT2B17', 'bio/hg38_UGT2B17', 'bio/hg19_SEMA6C', 'bio/hg38_SEMA6C', 'bio/hg19_PML', 'bio/hg38_PML', 'bio/hg19_SFMBT1', 'bio/hg38_SFMBT1', 'bio/hg19_PRKCE', 'bio/hg38_PRKCE', 'bio/hg19_INSC', 'bio/hg38_INSC', 'bio/hg19_TRPM7', 'bio/hg38_TRPM7', 'bio/hg19_ADAMTSL5', 'bio/hg38_ADAMTSL5', 'bio/hg19_BRINP3', 'bio/hg38_BRINP3', 'bio/hg19_C1QBP', 'bio/hg38_C1QBP', 'bio/hg19_UBE2K', 'bio/hg38_UBE2K', 'bio/hg19_TFG', 'bio/hg38_TFG', 'bio/hg19_NOX3', 'bio/hg38_NOX3', 'bio/hg19_IL17REL', 'bio/hg38_IL17REL', 'bio/hg19_NFIA', 'bio/hg38_NFIA', 'bio/hg19_RPTOR', 'bio/hg38_RPTOR', 'bio/hg19_CXCR4', 'bio/hg38_CXCR4', 'bio/hg19_HSH2D', 'bio/hg38_HSH2D', 'bio/hg19_STAT4', 'bio/hg38_STAT4', 'bio/hg19_CCR8', 'bio/hg38_CCR8', 'bio/hg19_FUT3', 'bio/hg38_FUT3', 'bio/hg19_DENND1B', 'bio/hg38_DENND1B', 'bio/hg19_HTR2A', 'bio/hg38_HTR2A', 'bio/hg19_AMBP', 'bio/hg38_AMBP', 'bio/hg19_NCAM1', 'bio/hg38_NCAM1', 'bio/hg19_HSPB2', 'bio/hg38_HSPB2', 'bio/hg19_AOAH', 'bio/hg38_AOAH', 'bio/hg19_UBE2J1', 'bio/hg38_UBE2J1', 'bio/hg19_LCE2C', 'bio/hg38_LCE2C', 'bio/hg19_MAF', 'bio/hg38_MAF', 'bio/hg19_KRAS', 'bio/hg38_KRAS', 'bio/hg19_IKBKE', 'bio/hg38_IKBKE', 'bio/hg19_ST8SIA6', 'bio/hg38_ST8SIA6', 'bio/hg19_PRKCB', 'bio/hg38_PRKCB', 'bio/hg19_SEL1L', 'bio/hg38_SEL1L', 'bio/hg19_MAF1', 'bio/hg38_MAF1', 'bio/hg19_TNFSF8', 'bio/hg38_TNFSF8', 'bio/hg19_SLC12A2', 'bio/hg38_SLC12A2', 'bio/hg19_SLC25A46', 'bio/hg38_SLC25A46', 'bio/hg19_FOXP2', 'bio/hg38_FOXP2', 'bio/hg19_ARIH1', 'bio/hg38_ARIH1', 'bio/hg19_SLC30A4', 'bio/hg38_SLC30A4', 'bio/hg19_CAV1', 'bio/hg38_CAV1', 'bio/hg19_PSMB8', 'bio/hg38_PSMB8', 'bio/hg19_NDUFB9', 'bio/hg38_NDUFB9', 'bio/hg19_CD8A', 'bio/hg38_CD8A', 'bio/hg19_SCN11A', 'bio/hg38_SCN11A', 'bio/hg19_HBA1', 'bio/hg38_HBA1', 'bio/hg19_RAD51B', 'bio/hg38_RAD51B', 'bio/hg19_TECPR1', 'bio/hg38_TECPR1', 'bio/hg19_ALDH1A1', 'bio/hg38_ALDH1A1', 'bio/hg19_IFRD1', 'bio/hg38_IFRD1', 'bio/hg19_SGPP2', 'bio/hg38_SGPP2', 'bio/hg19_RAB32', 'bio/hg38_RAB32', 'bio/hg19_C5orf56', 'bio/hg38_C5orf56', 'bio/hg19_MAST3', 'bio/hg38_MAST3', 'bio/hg19_ADORA3', 'bio/hg38_ADORA3', 'bio/hg19_SLC22A7', 'bio/hg38_SLC22A7', 'bio/hg19_ALLC', 'bio/hg38_ALLC', 'bio/hg19_ZNF300', 'bio/hg38_ZNF300', 'bio/hg19_TUBB', 'bio/hg38_TUBB', 'bio/hg19_GNLY', 'bio/hg38_GNLY', 'bio/hg19_ZNF649', 'bio/hg38_ZNF649', 'bio/hg19_HIST2H2AC', 'bio/hg38_HIST2H2AC', 'bio/hg19_PDZD2', 'bio/hg38_PDZD2', 'bio/hg19_MOXD1', 'bio/hg38_MOXD1', 'bio/hg19_MRPL49', 'bio/hg38_MRPL49', 'bio/hg19_CR1', 'bio/hg38_CR1', 'bio/hg19_AHR', 'bio/hg38_AHR', 'bio/hg19_EPHX1', 'bio/hg38_EPHX1', 'bio/hg19_IL17C', 'bio/hg38_IL17C', 'bio/hg19_MAPKAPK2', 'bio/hg38_MAPKAPK2', 'bio/hg19_FADS3', 'bio/hg38_FADS3', 'bio/hg19_B2M', 'bio/hg38_B2M', 'bio/hg19_RGS10', 'bio/hg38_RGS10', 'bio/hg19_MASP1', 'bio/hg38_MASP1', 'bio/hg19_FAM118A', 'bio/hg38_FAM118A', 'bio/hg19_P2RY6', 'bio/hg38_P2RY6', 'bio/hg19_ITGB3', 'bio/hg38_ITGB3', 'bio/hg19_GFM2', 'bio/hg38_GFM2', 'bio/hg19_DUSP5', 'bio/hg38_DUSP5', 'bio/hg19_NOS3', 'bio/hg38_NOS3', 'bio/hg19_ST6GALNAC6', 'bio/hg38_ST6GALNAC6', 'bio/hg19_NRON', 'bio/hg38_NRON', 'bio/hg19_TMEM135', 'bio/hg38_TMEM135', 'bio/hg19_IL25', 'bio/hg38_IL25', 'bio/hg19_TIMP1', 'bio/hg38_TIMP1', 'bio/hg19_DNMT3A', 'bio/hg38_DNMT3A', 'bio/hg19_BTC', 'bio/hg38_BTC', 'bio/hg19_CD300A', 'bio/hg38_CD300A', 'bio/hg19_CYP3A4', 'bio/hg38_CYP3A4', 'bio/hg19_MAPT', 'bio/hg38_MAPT', 'bio/hg19_TYRO3', 'bio/hg38_TYRO3', 'bio/hg19_MT1G', 'bio/hg38_MT1G', 'bio/hg19_DCD', 'bio/hg38_DCD', 'bio/hg19_MAP2K1', 'bio/hg38_MAP2K1', 'bio/hg19_TMEM201', 'bio/hg38_TMEM201', 'bio/hg19_DEFB134', 'bio/hg38_DEFB134', 'bio/hg19_MYLK', 'bio/hg38_MYLK', 'bio/hg19_DSC2', 'bio/hg38_DSC2', 'bio/hg19_ALG10', 'bio/hg38_ALG10', 'bio/hg19_CDK5', 'bio/hg38_CDK5', 'bio/hg19_TEX9', 'bio/hg38_TEX9', 'bio/hg19_MMP24', 'bio/hg38_MMP24', 'bio/hg19_TRAF4', 'bio/hg38_TRAF4', 'bio/hg19_EGR3', 'bio/hg38_EGR3', 'bio/hg19_IKZF3', 'bio/hg38_IKZF3', 'bio/hg19_ALPP', 'bio/hg38_ALPP', 'bio/hg19_BACE1', 'bio/hg38_BACE1', 'bio/hg19_LIN9', 'bio/hg38_LIN9', 'bio/hg19_HMGCS2', 'bio/hg38_HMGCS2', 'bio/hg19_PPIA', 'bio/hg38_PPIA', 'bio/hg19_ULBP3', 'bio/hg38_ULBP3', 'bio/hg19_SERPINB6', 'bio/hg38_SERPINB6', 'bio/hg19_STX3', 'bio/hg38_STX3', 'bio/hg19_MARVELD2', 'bio/hg38_MARVELD2', 'bio/hg19_TOP3A', 'bio/hg38_TOP3A', 'bio/hg19_PLIN1', 'bio/hg38_PLIN1', 'bio/hg19_IFITM3', 'bio/hg38_IFITM3', 'bio/hg19_MTFMT', 'bio/hg38_MTFMT', 'bio/hg19_FRZB', 'bio/hg38_FRZB', 'bio/hg19_ERAP2', 'bio/hg38_ERAP2', 'bio/hg19_GSTA1', 'bio/hg38_GSTA1', 'bio/hg19_STX7', 'bio/hg38_STX7', 'bio/hg19_WFS1', 'bio/hg38_WFS1', 'bio/hg19_YWHAZ', 'bio/hg38_YWHAZ', 'bio/hg19_SEPHS1', 'bio/hg38_SEPHS1', 'bio/hg19_IQGAP2', 'bio/hg38_IQGAP2', 'bio/hg19_FAM189A1', 'bio/hg38_FAM189A1', 'bio/hg19_EHD1', 'bio/hg38_EHD1', 'bio/hg19_RPL32', 'bio/hg38_RPL32', 'bio/hg19_CD3E', 'bio/hg38_CD3E', 'bio/hg19_FAM167A', 'bio/hg38_FAM167A', 'bio/hg19_LSM5', 'bio/hg38_LSM5', 'bio/hg19_CLK3', 'bio/hg38_CLK3', 'bio/hg19_PIDD1', 'bio/hg38_PIDD1', 'bio/hg19_PTBP2', 'bio/hg38_PTBP2', 'bio/hg19_OAS1', 'bio/hg38_OAS1', 'bio/hg19_WBP4', 'bio/hg38_WBP4', 'bio/hg19_IL18', 'bio/hg38_IL18', 'bio/hg19_TRDN', 'bio/hg38_TRDN', 'bio/hg19_IFIH1', 'bio/hg38_IFIH1', 'bio/hg19_SLCO2A1', 'bio/hg38_SLCO2A1', 'bio/hg19_MORN2', 'bio/hg38_MORN2', 'bio/hg19_BCKDHA', 'bio/hg38_BCKDHA', 'bio/hg19_RAB4A', 'bio/hg38_RAB4A', 'bio/hg19_ADIPOR1', 'bio/hg38_ADIPOR1', 'bio/hg19_ITGA1', 'bio/hg38_ITGA1', 'bio/hg19_SPIB', 'bio/hg38_SPIB', 'bio/hg19_FURIN', 'bio/hg38_FURIN', 'bio/hg19_NPFFR1', 'bio/hg38_NPFFR1', 'bio/hg19_THBD', 'bio/hg38_THBD', 'bio/hg19_AKAP13', 'bio/hg38_AKAP13', 'bio/hg19_SOD2', 'bio/hg38_SOD2', 'bio/hg19_WNT3A', 'bio/hg38_WNT3A', 'bio/hg19_DR1', 'bio/hg38_DR1', 'bio/hg19_LOX', 'bio/hg38_LOX', 'bio/hg19_HCG9', 'bio/hg38_HCG9', 'bio/hg19_BMPR1A', 'bio/hg38_BMPR1A', 'bio/hg19_PARVB', 'bio/hg38_PARVB', 'bio/hg19_CCL18', 'bio/hg38_CCL18', 'bio/hg19_CARD9', 'bio/hg38_CARD9', 'bio/hg19_RHOA', 'bio/hg38_RHOA', 'bio/hg19_LNPEP', 'bio/hg38_LNPEP', 'bio/hg19_ANXA3', 'bio/hg38_ANXA3', 'bio/hg19_ENPP2', 'bio/hg38_ENPP2', 'bio/hg19_TET2', 'bio/hg38_TET2', 'bio/hg19_CHRNA4', 'bio/hg38_CHRNA4', 'bio/hg19_AP5B1', 'bio/hg38_AP5B1', 'bio/hg19_IGFBP5', 'bio/hg38_IGFBP5', 'bio/hg19_ENO2', 'bio/hg38_ENO2', 'bio/hg19_ZGPAT', 'bio/hg38_ZGPAT', 'bio/hg19_TPM2', 'bio/hg38_TPM2', 'bio/hg19_CAT', 'bio/hg38_CAT', 'bio/hg19_FAAH', 'bio/hg38_FAAH', 'bio/hg19_NEDD8', 'bio/hg38_NEDD8', 'bio/hg19_MPP1', 'bio/hg38_MPP1', 'bio/hg19_FGR', 'bio/hg38_FGR', 'bio/hg19_SIRT5', 'bio/hg38_SIRT5', 'bio/hg19_IL9R', 'bio/hg38_IL9R', 'bio/hg19_MAGI2', 'bio/hg38_MAGI2', 'bio/hg19_POU5F1', 'bio/hg38_POU5F1', 'bio/hg19_HPS4', 'bio/hg38_HPS4', 'bio/hg19_GPI', 'bio/hg38_GPI', 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'bio/hg38_ATG10', 'bio/hg19_CD33', 'bio/hg38_CD33', 'bio/hg19_NOX1', 'bio/hg38_NOX1', 'bio/hg19_BGN', 'bio/hg38_BGN', 'bio/hg19_EPGN', 'bio/hg38_EPGN', 'bio/hg19_BLOC1S6', 'bio/hg38_BLOC1S6', 'bio/hg19_AMZ1', 'bio/hg38_AMZ1', 'bio/hg19_BCKDHB', 'bio/hg38_BCKDHB', 'bio/hg19_SLC22A15', 'bio/hg38_SLC22A15', 'bio/hg19_NR1D1', 'bio/hg38_NR1D1', 'bio/hg19_LEP', 'bio/hg38_LEP', 'bio/hg19_CD244', 'bio/hg38_CD244', 'bio/hg19_NT5E', 'bio/hg38_NT5E', 'bio/hg19_MSTN', 'bio/hg38_MSTN', 'bio/hg19_HAMP', 'bio/hg38_HAMP', 'bio/hg19_PDX1', 'bio/hg38_PDX1', 'bio/hg19_NLRP2', 'bio/hg38_NLRP2', 'bio/hg19_C4B', 'bio/hg38_C4B', 'bio/hg19_ACACA', 'bio/hg38_ACACA', 'bio/hg19_RBP2', 'bio/hg38_RBP2', 'bio/hg19_NR5A2', 'bio/hg38_NR5A2', 'bio/hg19_SP1', 'bio/hg38_SP1', 'bio/hg19_GZMB', 'bio/hg38_GZMB', 'bio/hg19_PFKFB3', 'bio/hg38_PFKFB3', 'bio/hg19_BATF3', 'bio/hg38_BATF3', 'bio/hg19_ABCC4', 'bio/hg38_ABCC4', 'bio/hg19_REEP5', 'bio/hg38_REEP5', 'bio/hg19_COL4A2', 'bio/hg38_COL4A2', 'bio/hg19_TTC4', 'bio/hg38_TTC4', 'bio/hg19_IL11', 'bio/hg38_IL11', 'bio/hg19_HTR3E', 'bio/hg38_HTR3E', 'bio/hg19_RNF216', 'bio/hg38_RNF216', 'bio/hg19_PGLYRP4', 'bio/hg38_PGLYRP4', 'bio/hg19_ZFP36L1', 'bio/hg38_ZFP36L1', 'bio/hg19_TJP1', 'bio/hg38_TJP1', 'bio/hg19_TGFB1', 'bio/hg38_TGFB1', 'bio/hg19_YBX1', 'bio/hg38_YBX1', 'bio/hg19_FOXD3', 'bio/hg38_FOXD3', 'bio/hg19_DKK1', 'bio/hg38_DKK1', 'bio/hg19_ADRBK1', 'bio/hg19_MAATS1', 'bio/hg38_MAATS1', 'bio/hg19_CLEC4C', 'bio/hg38_CLEC4C', 'bio/hg19_IL23R', 'bio/hg38_IL23R', 'bio/hg19_PPP5C', 'bio/hg38_PPP5C', 'bio/hg19_MOG', 'bio/hg38_MOG', 'bio/hg19_FNBP1L', 'bio/hg38_FNBP1L', 'bio/hg19_SLC35D1', 'bio/hg38_SLC35D1', 'bio/hg19_MMP10', 'bio/hg38_MMP10', 'bio/hg19_LGALS1', 'bio/hg38_LGALS1', 'bio/hg19_PLCB2', 'bio/hg38_PLCB2', 'bio/hg19_IPMK', 'bio/hg38_IPMK', 'bio/hg19_GUCY2C', 'bio/hg38_GUCY2C', 'bio/hg19_SUMO4', 'bio/hg38_SUMO4', 'bio/hg19_PBOV1', 'bio/hg38_PBOV1', 'bio/hg19_RAB11A', 'bio/hg38_RAB11A', 'bio/hg19_INPPL1', 'bio/hg38_INPPL1', 'bio/hg19_NTRK1', 'bio/hg38_NTRK1', 'bio/hg19_FANCC', 'bio/hg38_FANCC', 'bio/hg19_ITGA2B', 'bio/hg38_ITGA2B', 'bio/hg19_TXNL4A', 'bio/hg38_TXNL4A', 'bio/hg19_NOS1', 'bio/hg38_NOS1', 'bio/hg19_PLA2G2A', 'bio/hg38_PLA2G2A', 'bio/hg19_CXCL14', 'bio/hg38_CXCL14', 'bio/hg19_RPS3A', 'bio/hg38_RPS3A', 'bio/hg19_PRDX5', 'bio/hg38_PRDX5', 'bio/hg19_IRGM', 'bio/hg38_IRGM', 'bio/hg19_AQP5', 'bio/hg38_AQP5', 'bio/hg19_SHISA4', 'bio/hg38_SHISA4', 'bio/hg19_ABRACL', 'bio/hg38_ABRACL', 'bio/hg19_CISD1', 'bio/hg38_CISD1', 'bio/hg19_HSPA1B', 'bio/hg38_HSPA1B', 'bio/hg19_CLEC1A', 'bio/hg38_CLEC1A', 'bio/hg19_TNFRSF12A', 'bio/hg38_TNFRSF12A', 'bio/hg19_CD28', 'bio/hg38_CD28', 'bio/hg19_SNORA26', 'bio/hg38_SNORA26', 'bio/hg19_PDE4D', 'bio/hg38_PDE4D', 'bio/hg19_MTHFR', 'bio/hg38_MTHFR', 'bio/hg19_RHOG', 'bio/hg38_RHOG', 'bio/hg19_NTF4', 'bio/hg38_NTF4', 'bio/hg19_SULT1A1', 'bio/hg38_SULT1A1', 'bio/hg19_HMOX2', 'bio/hg38_HMOX2', 'bio/hg19_NDUFA5', 'bio/hg38_NDUFA5', 'bio/hg19_ENTPD8', 'bio/hg38_ENTPD8', 'bio/hg19_CTIF', 'bio/hg38_CTIF', 'bio/hg19_EPCAM', 'bio/hg38_EPCAM', 'bio/hg19_THY1', 'bio/hg38_THY1', 'bio/hg19_ETV5', 'bio/hg38_ETV5', 'bio/hg19_ADCYAP1R1', 'bio/hg38_ADCYAP1R1', 'bio/hg19_ANGPT1', 'bio/hg38_ANGPT1', 'bio/hg19_ZNF804A', 'bio/hg38_ZNF804A', 'bio/hg19_PDGFRB', 'bio/hg38_PDGFRB', 'bio/hg19_GCK', 'bio/hg38_GCK', 'bio/hg19_FBLIM1', 'bio/hg38_FBLIM1', 'bio/hg19_EP300', 'bio/hg38_EP300', 'bio/hg19_DNM2', 'bio/hg38_DNM2', 'bio/hg19_ACSL1', 'bio/hg38_ACSL1', 'bio/hg19_HLA-DOA', 'bio/hg38_HLA-DOA', 'bio/hg19_CLDN15', 'bio/hg38_CLDN15', 'bio/hg19_LRRC15', 'bio/hg38_LRRC15', 'bio/hg19_EDAR', 'bio/hg38_EDAR', 'bio/hg19_SYVN1', 'bio/hg38_SYVN1', 'bio/hg19_PRDX6', 'bio/hg38_PRDX6', 'bio/hg19_PDGFA', 'bio/hg38_PDGFA', 'bio/hg19_NPBWR2', 'bio/hg38_NPBWR2', 'bio/hg19_ERF', 'bio/hg38_ERF', 'bio/hg19_MSH5', 'bio/hg38_MSH5', 'bio/hg19_ACTG1', 'bio/hg38_ACTG1', 'bio/hg19_HLA-G', 'bio/hg38_HLA-G', 'bio/hg19_MUC5B', 'bio/hg38_MUC5B', 'bio/hg19_MSR1', 'bio/hg38_MSR1', 'bio/hg19_CDC42SE2', 'bio/hg38_CDC42SE2', 'bio/hg19_WDFY3', 'bio/hg38_WDFY3', 'bio/hg19_MUTYH', 'bio/hg38_MUTYH', 'bio/hg19_ELMO1', 'bio/hg38_ELMO1', 'bio/hg19_LCT', 'bio/hg38_LCT', 'bio/hg19_CAPN11', 'bio/hg38_CAPN11', 'bio/hg19_ITGAM', 'bio/hg38_ITGAM', 'bio/hg19_GIF', 'bio/hg38_GIF', 'bio/hg19_PPP3R1', 'bio/hg38_PPP3R1', 'bio/hg19_DCN', 'bio/hg38_DCN', 'bio/hg19_ECHDC1', 'bio/hg38_ECHDC1', 'bio/hg19_RB1CC1', 'bio/hg38_RB1CC1', 'bio/hg19_MT1B', 'bio/hg38_MT1B', 'bio/hg19_BCL3', 'bio/hg38_BCL3', 'bio/hg19_GUSB', 'bio/hg38_GUSB', 'bio/hg19_ADCY3', 'bio/hg38_ADCY3', 'bio/hg19_SLC4A4', 'bio/hg38_SLC4A4', 'bio/hg19_SLC9A4', 'bio/hg38_SLC9A4', 'bio/hg19_EDA', 'bio/hg38_EDA', 'bio/hg19_P2RY12', 'bio/hg38_P2RY12', 'bio/hg19_DNASE2', 'bio/hg38_DNASE2', 'bio/hg19_NCR2', 'bio/hg38_NCR2', 'bio/hg19_MRPS22', 'bio/hg38_MRPS22', 'bio/hg19_UHRF1BP1', 'bio/hg38_UHRF1BP1', 'bio/hg19_AQP7', 'bio/hg38_AQP7', 'bio/hg19_MECP2', 'bio/hg38_MECP2', 'bio/hg19_TNFRSF9', 'bio/hg38_TNFRSF9', 'bio/hg19_LRRC3C', 'bio/hg38_LRRC3C', 'bio/hg19_HTR7', 'bio/hg38_HTR7', 'bio/hg19_SDHC', 'bio/hg38_SDHC', 'bio/hg19_PGR', 'bio/hg38_PGR', 'bio/hg19_NLRP3', 'bio/hg38_NLRP3', 'bio/hg19_MYO9A', 'bio/hg38_MYO9A', 'bio/hg19_CD55', 'bio/hg38_CD55', 'bio/hg19_SIGLEC1', 'bio/hg38_SIGLEC1', 'bio/hg19_FIBP', 'bio/hg38_FIBP', 'bio/hg19_GNS', 'bio/hg38_GNS', 'bio/hg19_ZFYVE1', 'bio/hg38_ZFYVE1', 'bio/hg19_ENPP1', 'bio/hg38_ENPP1', 'bio/hg19_CAPN8', 'bio/hg38_CAPN8', 'bio/hg19_SERPINA12', 'bio/hg38_SERPINA12', 'bio/hg19_NDUFS3', 'bio/hg38_NDUFS3', 'bio/hg19_CD2AP', 'bio/hg38_CD2AP', 'bio/hg19_IL7R', 'bio/hg38_IL7R', 'bio/hg19_HSD11B1', 'bio/hg38_HSD11B1', 'bio/hg19_NPS', 'bio/hg38_NPS', 'bio/hg19_FFAR4', 'bio/hg38_FFAR4', 'bio/hg19_SELPLG', 'bio/hg38_SELPLG', 'bio/hg19_IRF2', 'bio/hg38_IRF2', 'bio/hg19_HAS2', 'bio/hg38_HAS2', 'bio/hg19_BLNK', 'bio/hg38_BLNK', 'bio/hg19_CTNNB1', 'bio/hg38_CTNNB1', 'bio/hg19_RPS6KA4', 'bio/hg38_RPS6KA4', 'bio/hg19_PMEL', 'bio/hg38_PMEL', 'bio/hg19_KIF21B', 'bio/hg38_KIF21B', 'bio/hg19_RAPGEF4', 'bio/hg38_RAPGEF4', 'bio/hg19_ZFAND3', 'bio/hg38_ZFAND3', 'bio/hg19_FADD', 'bio/hg38_FADD', 'bio/hg19_JAM2', 'bio/hg38_JAM2', 'bio/hg19_PLA2G10', 'bio/hg38_PLA2G10', 'bio/hg19_LRRC19', 'bio/hg38_LRRC19', 'bio/hg19_PTGDR', 'bio/hg38_PTGDR', 'bio/hg19_CD1D', 'bio/hg38_CD1D', 'bio/hg19_SPICE1', 'bio/hg38_SPICE1', 'bio/hg19_SLC24A4', 'bio/hg38_SLC24A4', 'bio/hg19_RPL13A', 'bio/hg38_RPL13A', 'bio/hg19_VTCN1', 'bio/hg38_VTCN1', 'bio/hg19_NLRP14', 'bio/hg38_NLRP14', 'bio/hg19_TNFSF11', 'bio/hg38_TNFSF11', 'bio/hg19_C14orf177', 'bio/hg38_C14orf177', 'bio/hg19_MIP', 'bio/hg38_MIP', 'bio/hg19_WNT5A', 'bio/hg38_WNT5A', 'bio/hg19_SETD1A', 'bio/hg38_SETD1A', 'bio/hg19_POSTN', 'bio/hg38_POSTN', 'bio/hg19_ARHGEF3', 'bio/hg38_ARHGEF3', 'bio/hg19_VAMP2', 'bio/hg38_VAMP2', 'bio/hg19_LTA', 'bio/hg38_LTA', 'bio/hg19_CD9', 'bio/hg38_CD9', 'bio/hg19_ITGA5', 'bio/hg38_ITGA5', 'bio/hg19_ASGR1', 'bio/hg38_ASGR1', 'bio/hg19_FRMPD2', 'bio/hg38_FRMPD2', 'bio/hg19_SLC6A19', 'bio/hg38_SLC6A19', 'bio/hg19_BCL2L12', 'bio/hg38_BCL2L12', 'bio/hg19_SLC2A4RG', 'bio/hg38_SLC2A4RG', 'bio/hg19_SFRP1', 'bio/hg38_SFRP1', 'bio/hg19_UNC13D', 'bio/hg38_UNC13D', 'bio/hg19_KSR1', 'bio/hg38_KSR1', 'bio/hg19_CHGA', 'bio/hg38_CHGA', 'bio/hg19_DEFB107B', 'bio/hg38_DEFB107B', 'bio/hg19_CYP1A1', 'bio/hg38_CYP1A1', 'bio/hg19_PDGFRA', 'bio/hg38_PDGFRA', 'bio/hg19_PXK', 'bio/hg38_PXK', 'bio/hg19_SUCO', 'bio/hg38_SUCO', 'bio/hg19_MAZ', 'bio/hg38_MAZ', 'bio/hg19_IL18BP', 'bio/hg38_IL18BP', 'bio/hg19_LPIN2', 'bio/hg38_LPIN2', 'bio/hg19_SCN10A', 'bio/hg38_SCN10A', 'bio/hg19_SCUBE3', 'bio/hg38_SCUBE3', 'bio/hg19_MST1', 'bio/hg38_MST1', 'bio/hg19_GNA12', 'bio/hg38_GNA12', 'bio/hg19_REG3A', 'bio/hg38_REG3A', 'bio/hg19_TGFB2', 'bio/hg38_TGFB2', 'bio/hg19_VASP', 'bio/hg38_VASP', 'bio/hg19_ANXA6', 'bio/hg38_ANXA6', 'bio/hg19_LACC1', 'bio/hg38_LACC1', 'bio/hg19_EGR2', 'bio/hg38_EGR2', 'bio/hg19_TNFSF10', 'bio/hg38_TNFSF10', 'bio/hg19_SMAD2', 'bio/hg38_SMAD2', 'bio/hg19_NADSYN1', 'bio/hg38_NADSYN1', 'bio/hg19_KIF5A', 'bio/hg38_KIF5A', 'bio/hg19_GH1', 'bio/hg38_GH1', 'bio/hg19_CAPSL', 'bio/hg38_CAPSL', 'bio/hg19_KRT7', 'bio/hg38_KRT7', 'bio/hg19_ST3GAL6', 'bio/hg38_ST3GAL6', 'bio/hg19_LINC01556', 'bio/hg38_LINC01556', 'bio/hg19_SETD2', 'bio/hg38_SETD2', 'bio/hg19_FAM213A', 'bio/hg19_SLC22A12', 'bio/hg38_SLC22A12', 'bio/hg19_CEACAM6', 'bio/hg38_CEACAM6', 'bio/hg19_TBP', 'bio/hg38_TBP', 'bio/hg19_AGER', 'bio/hg38_AGER', 'bio/hg19_EIF2AK2', 'bio/hg38_EIF2AK2', 'bio/hg19_RNF186', 'bio/hg38_RNF186', 'bio/hg19_GRAP2', 'bio/hg38_GRAP2', 'bio/hg19_SRCIN1', 'bio/hg38_SRCIN1', 'bio/hg19_DEXI', 'bio/hg38_DEXI', 'bio/hg19_STAT2', 'bio/hg38_STAT2', 'bio/hg19_DMBT1', 'bio/hg38_DMBT1', 'bio/hg19_ERC1', 'bio/hg38_ERC1', 'bio/hg19_PYCARD', 'bio/hg38_PYCARD', 'bio/hg19_EPHA3', 'bio/hg38_EPHA3', 'bio/hg19_UCP1', 'bio/hg38_UCP1', 'bio/hg19_CCL22', 'bio/hg38_CCL22', 'bio/hg19_CCL21', 'bio/hg38_CCL21', 'bio/hg19_MED19', 'bio/hg38_MED19', 'bio/hg19_SECISBP2L', 'bio/hg38_SECISBP2L', 'bio/hg19_UNC50', 'bio/hg38_UNC50', 'bio/hg19_MPL', 'bio/hg38_MPL', 'bio/hg19_OR10P1', 'bio/hg38_OR10P1', 'bio/hg19_MBP', 'bio/hg38_MBP', 'bio/hg19_BAX', 'bio/hg38_BAX', 'bio/hg19_DFFB', 'bio/hg38_DFFB', 'bio/hg19_SERPINE1', 'bio/hg38_SERPINE1', 'bio/hg19_NELFCD', 'bio/hg38_NELFCD', 'bio/hg19_CDKN1C', 'bio/hg38_CDKN1C', 'bio/hg19_SHH', 'bio/hg38_SHH', 'bio/hg19_NAALADL1', 'bio/hg38_NAALADL1', 'bio/hg19_PYCR1', 'bio/hg38_PYCR1', 'bio/hg19_BTBD8', 'bio/hg38_BTBD8', 'bio/hg19_CLEC1B', 'bio/hg38_CLEC1B', 'bio/hg19_CAPN7', 'bio/hg38_CAPN7', 'bio/hg19_TRADD', 'bio/hg38_TRADD', 'bio/hg19_CCR3', 'bio/hg38_CCR3', 'bio/hg19_S1PR4', 'bio/hg38_S1PR4', 'bio/hg19_REEP3', 'bio/hg38_REEP3', 'bio/hg19_SNX20', 'bio/hg38_SNX20', 'bio/hg19_SULT1A3', 'bio/hg38_SULT1A3', 'bio/hg19_HIST1H4J', 'bio/hg38_HIST1H4J', 'bio/hg19_SIRT6', 'bio/hg38_SIRT6', 'bio/hg19_SLC39A4', 'bio/hg38_SLC39A4', 'bio/hg19_DLL1', 'bio/hg38_DLL1', 'bio/hg19_SNCA', 'bio/hg38_SNCA', 'bio/hg19_ZNF436', 'bio/hg38_ZNF436', 'bio/hg19_TLR10', 'bio/hg38_TLR10', 'bio/hg19_BCHE', 'bio/hg38_BCHE', 'bio/hg19_RBX1', 'bio/hg38_RBX1', 'bio/hg19_KRT20', 'bio/hg38_KRT20', 'bio/hg19_UBE3A', 'bio/hg38_UBE3A', 'bio/hg19_ST6GALNAC2', 'bio/hg38_ST6GALNAC2', 'bio/hg19_FOXP1', 'bio/hg38_FOXP1', 'bio/hg19_PKM', 'bio/hg38_PKM', 'bio/hg19_MEG8', 'bio/hg38_MEG8', 'bio/hg19_SYMPK', 'bio/hg38_SYMPK', 'bio/hg19_CXCL10', 'bio/hg38_CXCL10', 'bio/hg19_IKZF1', 'bio/hg38_IKZF1', 'bio/hg19_TSPAN4', 'bio/hg38_TSPAN4', 'bio/hg19_MAP2K3', 'bio/hg38_MAP2K3', 'bio/hg19_LBR', 'bio/hg38_LBR', 'bio/hg19_LSP1', 'bio/hg38_LSP1', 'bio/hg19_WASL', 'bio/hg38_WASL', 'bio/hg19_KLRB1', 'bio/hg38_KLRB1', 'bio/hg19_PDPN', 'bio/hg38_PDPN', 'bio/hg19_SLC9A3', 'bio/hg38_SLC9A3', 'bio/hg19_ZBTB46', 'bio/hg38_ZBTB46', 'bio/hg19_CD160', 'bio/hg38_CD160', 'bio/hg19_SEMA4A', 'bio/hg38_SEMA4A', 'bio/hg19_C2orf69', 'bio/hg38_C2orf69', 'bio/hg19_CCHCR1', 'bio/hg38_CCHCR1', 'bio/hg19_SOX2', 'bio/hg38_SOX2', 'bio/hg19_GALNT2', 'bio/hg38_GALNT2', 'bio/hg19_ACSM2A', 'bio/hg38_ACSM2A', 'bio/hg19_KLRC4', 'bio/hg38_KLRC4', 'bio/hg19_ITPA', 'bio/hg38_ITPA', 'bio/hg19_ADIRF', 'bio/hg38_ADIRF', 'bio/hg19_PRKCB', 'bio/hg38_PRKCB', 'bio/hg19_NR4A1', 'bio/hg38_NR4A1', 'bio/hg19_C5orf66', 'bio/hg38_C5orf66', 'bio/hg19_PLET1', 'bio/hg38_PLET1', 'bio/hg19_IL2RA', 'bio/hg38_IL2RA', 'bio/hg19_RAB29', 'bio/hg38_RAB29', 'bio/hg19_EIF5B', 'bio/hg38_EIF5B', 'bio/hg19_KCNG4', 'bio/hg38_KCNG4', 'bio/hg19_BRD1', 'bio/hg38_BRD1', 'bio/hg19_AQP1', 'bio/hg38_AQP1', 'bio/hg19_LPP', 'bio/hg38_LPP', 'bio/hg19_TLR6', 'bio/hg38_TLR6', 'bio/hg19_DENND1B', 'bio/hg38_DENND1B', 'bio/hg19_KRT16', 'bio/hg38_KRT16', 'bio/hg19_KLF13', 'bio/hg38_KLF13', 'bio/hg19_CENPW', 'bio/hg38_CENPW', 'bio/hg19_SLC43A3', 'bio/hg38_SLC43A3', 'bio/hg19_ADAM10', 'bio/hg38_ADAM10', 'bio/hg19_SLC29A3', 'bio/hg38_SLC29A3', 'bio/hg19_SCARB1', 'bio/hg38_SCARB1', 'bio/hg19_CARTPT', 'bio/hg38_CARTPT', 'bio/hg19_PIEZO1', 'bio/hg38_PIEZO1', 'bio/hg19_IKZF2', 'bio/hg38_IKZF2', 'bio/hg19_MUC6', 'bio/hg38_MUC6', 'bio/hg19_IL36RN', 'bio/hg38_IL36RN', 'bio/hg19_HAPLN1', 'bio/hg38_HAPLN1', 'bio/hg19_OR13C4', 'bio/hg38_OR13C4', 'bio/hg19_MLNR', 'bio/hg38_MLNR', 'bio/hg19_KIAA1614', 'bio/hg38_KIAA1614', 'bio/hg19_EDIL3', 'bio/hg38_EDIL3', 'bio/hg19_AXL', 'bio/hg38_AXL', 'bio/hg19_CD276', 'bio/hg38_CD276', 'bio/hg19_STARD13', 'bio/hg38_STARD13', 'bio/hg19_CD44', 'bio/hg38_CD44', 'bio/hg19_HECTD4', 'bio/hg38_HECTD4', 'bio/hg19_PTPRN2', 'bio/hg38_PTPRN2', 'bio/hg19_OR5V1', 'bio/hg38_OR5V1', 'bio/hg19_THPO', 'bio/hg38_THPO', 'bio/hg19_CPB2', 'bio/hg38_CPB2', 'bio/hg19_ZNF174', 'bio/hg38_ZNF174', 'bio/hg19_OAS3', 'bio/hg38_OAS3', 'bio/hg19_AHSP', 'bio/hg38_AHSP', 'bio/hg19_ALDH9A1', 'bio/hg38_ALDH9A1', 'bio/hg19_YY1', 'bio/hg38_YY1', 'bio/hg19_PBX2', 'bio/hg38_PBX2', 'bio/hg19_CISH', 'bio/hg38_CISH', 'bio/hg19_CDR2', 'bio/hg38_CDR2', 'bio/hg19_GCG', 'bio/hg38_GCG', 'bio/hg19_SCAMP3', 'bio/hg38_SCAMP3', 'bio/hg19_AGRP', 'bio/hg38_AGRP', 'bio/hg19_G6PC', 'bio/hg38_G6PC', 'bio/hg19_MBL2', 'bio/hg38_MBL2', 'bio/hg19_MEP1A', 'bio/hg38_MEP1A', 'bio/hg19_DUOXA1', 'bio/hg38_DUOXA1', 'bio/hg19_SYK', 'bio/hg38_SYK', 'bio/hg19_ATG16L2', 'bio/hg38_ATG16L2', 'bio/hg19_IL2RB', 'bio/hg38_IL2RB', 'bio/hg19_KIF9-AS1', 'bio/hg38_KIF9-AS1', 'bio/hg19_FLG2', 'bio/hg38_FLG2', 'bio/hg19_LRPAP1', 'bio/hg38_LRPAP1', 'bio/hg19_VEGFB', 'bio/hg38_VEGFB', 'bio/hg19_CTNNA3', 'bio/hg38_CTNNA3', 'bio/hg19_TLR8', 'bio/hg38_TLR8', 'bio/hg19_ORMDL1', 'bio/hg38_ORMDL1', 'bio/hg19_TOP3B', 'bio/hg38_TOP3B', 'bio/hg19_ST3GAL3', 'bio/hg38_ST3GAL3', 'bio/hg19_PTPN6', 'bio/hg38_PTPN6', 'bio/hg19_GPR83', 'bio/hg38_GPR83', 'bio/hg19_CORT', 'bio/hg38_CORT', 'bio/hg19_IRF5', 'bio/hg38_IRF5', 'bio/hg19_CDK2', 'bio/hg38_CDK2', 'bio/hg19_RAPGEF3', 'bio/hg38_RAPGEF3', 'bio/hg19_IFNG', 'bio/hg38_IFNG', 'bio/hg19_AK3', 'bio/hg38_AK3', 'bio/hg19_XCR1', 'bio/hg38_XCR1', 'bio/hg19_HMOX1', 'bio/hg38_HMOX1', 'bio/hg19_TAF1L', 'bio/hg38_TAF1L', 'bio/hg19_VAV3', 'bio/hg38_VAV3', 'bio/hg19_MRPL20', 'bio/hg38_MRPL20', 'bio/hg19_ZNF133', 'bio/hg38_ZNF133', 'bio/hg19_LGR4', 'bio/hg38_LGR4', 'bio/hg19_GPX1', 'bio/hg38_GPX1', 'bio/hg19_MAP3K14', 'bio/hg38_MAP3K14', 'bio/hg19_STUB1', 'bio/hg38_STUB1', 'bio/hg19_NPC1', 'bio/hg38_NPC1', 'bio/hg19_CELA1', 'bio/hg38_CELA1', 'bio/hg19_TRPV5', 'bio/hg38_TRPV5', 'bio/hg19_RBP3', 'bio/hg38_RBP3', 'bio/hg19_CCL25', 'bio/hg38_CCL25', 'bio/hg19_ITLN1', 'bio/hg38_ITLN1', 'bio/hg19_UBA1', 'bio/hg38_UBA1', 'bio/hg19_RHOD', 'bio/hg38_RHOD', 'bio/hg19_ABCA1', 'bio/hg38_ABCA1', 'bio/hg19_SKAP2', 'bio/hg38_SKAP2', 'bio/hg19_IFNA2', 'bio/hg38_IFNA2', 'bio/hg19_TMEM39A', 'bio/hg38_TMEM39A', 'bio/hg19_DEFB106A', 'bio/hg38_DEFB106A', 'bio/hg19_VWA5B2', 'bio/hg38_VWA5B2', 'bio/hg19_ACO1', 'bio/hg38_ACO1', 'bio/hg19_KLK1', 'bio/hg38_KLK1', 'bio/hg19_MT4', 'bio/hg38_MT4', 'bio/hg19_GPR1', 'bio/hg38_GPR1', 'bio/hg19_NKX6-2', 'bio/hg38_NKX6-2', 'bio/hg19_LILRB4', 'bio/hg38_LILRB4', 'bio/hg19_ARHGEF7', 'bio/hg38_ARHGEF7', 'bio/hg19_STAT5A', 'bio/hg38_STAT5A', 'bio/hg19_CFHR1', 'bio/hg38_CFHR1', 'bio/hg19_PAX4', 'bio/hg38_PAX4', 'bio/hg19_UBE2N', 'bio/hg38_UBE2N', 'bio/hg19_SMAD3', 'bio/hg38_SMAD3', 'bio/hg19_CYP2C19', 'bio/hg38_CYP2C19', 'bio/hg19_USP40', 'bio/hg38_USP40', 'bio/hg19_BAAT', 'bio/hg38_BAAT', 'bio/hg19_DEFB4B', 'bio/hg38_DEFB4B', 'bio/hg19_NEDD4L', 'bio/hg38_NEDD4L', 'bio/hg19_SKAP2', 'bio/hg38_SKAP2', 'bio/hg19_TGM1', 'bio/hg38_TGM1', 'bio/hg19_NOTCH1', 'bio/hg38_NOTCH1', 'bio/hg19_CKAP5', 'bio/hg38_CKAP5', 'bio/hg19_HLA-E', 'bio/hg38_HLA-E', 'bio/hg19_FGF7', 'bio/hg38_FGF7', 'bio/hg19_KLHL7', 'bio/hg38_KLHL7', 'bio/hg19_RUNX3', 'bio/hg38_RUNX3', 'bio/hg19_CCL8', 'bio/hg38_CCL8', 'bio/hg19_CYBRD1', 'bio/hg38_CYBRD1', 'bio/hg19_EHBP1', 'bio/hg38_EHBP1', 'bio/hg19_SIRT7', 'bio/hg38_SIRT7', 'bio/hg19_DEFB4A', 'bio/hg38_DEFB4A', 'bio/hg19_SLC16A9', 'bio/hg38_SLC16A9', 'bio/hg19_NELL1', 'bio/hg38_NELL1', 'bio/hg19_RCHY1', 'bio/hg38_RCHY1', 'bio/hg19_OAS2', 'bio/hg38_OAS2', 'bio/hg19_AGFG1', 'bio/hg38_AGFG1', 'bio/hg19_UBE2D2', 'bio/hg38_UBE2D2', 'bio/hg19_LRRC6', 'bio/hg38_LRRC6', 'bio/hg19_RASIP1', 'bio/hg38_RASIP1', 'bio/hg19_RORC', 'bio/hg38_RORC', 'bio/hg19_STIM1', 'bio/hg38_STIM1', 'bio/hg19_CR2', 'bio/hg38_CR2', 'bio/hg19_PTK2', 'bio/hg38_PTK2', 'bio/hg19_HSP90AA1', 'bio/hg38_HSP90AA1', 'bio/hg19_MTX1', 'bio/hg38_MTX1', 'bio/hg19_ZC3H12A', 'bio/hg38_ZC3H12A', 'bio/hg19_TNFSF8', 'bio/hg38_TNFSF8', 'bio/hg19_SRL', 'bio/hg38_SRL', 'bio/hg19_ATP5SL', 'bio/hg19_CYP2E1', 'bio/hg38_CYP2E1', 'bio/hg19_GSTP1', 'bio/hg38_GSTP1', 'bio/hg19_UCN2', 'bio/hg38_UCN2', 'bio/hg19_MIA3', 'bio/hg38_MIA3', 'bio/hg19_HDAC9', 'bio/hg38_HDAC9', 'bio/hg19_BCL11B', 'bio/hg38_BCL11B', 'bio/hg19_IL17RE', 'bio/hg38_IL17RE', 'bio/hg19_WDR36', 'bio/hg38_WDR36', 'bio/hg19_NOS2', 'bio/hg38_NOS2', 'bio/hg19_TIA1', 'bio/hg38_TIA1', 'bio/hg19_JAK1', 'bio/hg38_JAK1', 'bio/hg19_MUC21', 'bio/hg38_MUC21', 'bio/hg19_IHH', 'bio/hg38_IHH', 'bio/hg19_HSPD1', 'bio/hg38_HSPD1', 'bio/hg19_NLRP7', 'bio/hg38_NLRP7', 'bio/hg19_BMP1', 'bio/hg38_BMP1', 'bio/hg19_GABARAP', 'bio/hg38_GABARAP', 'bio/hg19_GPX2', 'bio/hg38_GPX2', 'bio/hg19_GJB2', 'bio/hg38_GJB2', 'bio/hg19_SP8', 'bio/hg38_SP8', 'bio/hg19_TBL1X', 'bio/hg38_TBL1X', 'bio/hg19_ITK', 'bio/hg38_ITK', 'bio/hg19_DHPS', 'bio/hg38_DHPS', 'bio/hg19_MMD2', 'bio/hg38_MMD2', 'bio/hg19_MVK', 'bio/hg38_MVK', 'bio/hg19_FASN', 'bio/hg38_FASN', 'bio/hg19_AKT2', 'bio/hg38_AKT2', 'bio/hg19_SAMD12', 'bio/hg38_SAMD12', 'bio/hg19_CD59', 'bio/hg38_CD59', 'bio/hg19_CYP2B6', 'bio/hg38_CYP2B6', 'bio/hg19_PXN', 'bio/hg38_PXN', 'bio/hg19_TROVE2', 'bio/hg38_TROVE2', 'bio/hg19_CD19', 'bio/hg38_CD19', 'bio/hg19_SLC5A6', 'bio/hg38_SLC5A6', 'bio/hg19_HSP90B1', 'bio/hg38_HSP90B1', 'bio/hg19_IKZF4', 'bio/hg38_IKZF4', 'bio/hg19_MUC4', 'bio/hg38_MUC4', 'bio/hg19_TAB2', 'bio/hg38_TAB2', 'bio/hg19_BCL2L13', 'bio/hg38_BCL2L13', 'bio/hg19_SLC29A4', 'bio/hg38_SLC29A4', 'bio/hg19_FGF20', 'bio/hg38_FGF20', 'bio/hg19_EGLN3', 'bio/hg38_EGLN3', 'bio/hg19_DUSP22', 'bio/hg38_DUSP22', 'bio/hg19_RAB38', 'bio/hg38_RAB38', 'bio/hg19_DEPTOR', 'bio/hg38_DEPTOR', 'bio/hg19_MMP7', 'bio/hg38_MMP7', 'bio/hg19_TRPV6', 'bio/hg38_TRPV6', 'bio/hg19_NR1I2', 'bio/hg38_NR1I2', 'bio/hg19_AVPR2', 'bio/hg38_AVPR2', 'bio/hg19_NSL1', 'bio/hg38_NSL1', 'bio/hg19_SLC46A1', 'bio/hg38_SLC46A1', 'bio/hg19_SMAD7', 'bio/hg38_SMAD7', 'bio/hg19_FBXO8', 'bio/hg38_FBXO8', 'bio/hg19_USP4', 'bio/hg38_USP4', 'bio/hg19_SLC15A1', 'bio/hg38_SLC15A1', 'bio/hg19_DPP10', 'bio/hg38_DPP10', 'bio/hg19_ECE1', 'bio/hg38_ECE1', 'bio/hg19_SLC9A2', 'bio/hg38_SLC9A2', 'bio/hg19_AMICA1', 'bio/hg19_DOLPP1', 'bio/hg38_DOLPP1', 'bio/hg19_DEFB108B', 'bio/hg38_DEFB108B', 'bio/hg19_ACSS2', 'bio/hg38_ACSS2', 'bio/hg19_PRDM10', 'bio/hg38_PRDM10', 'bio/hg19_FYCO1', 'bio/hg38_FYCO1', 'bio/hg19_CALCR', 'bio/hg38_CALCR', 'bio/hg19_CARD17', 'bio/hg38_CARD17', 'bio/hg19_SMOC2', 'bio/hg38_SMOC2', 'bio/hg19_DRD2', 'bio/hg38_DRD2', 'bio/hg19_SOCS2', 'bio/hg38_SOCS2', 'bio/hg19_CYLD', 'bio/hg38_CYLD', 'bio/hg19_XDH', 'bio/hg38_XDH', 'bio/hg19_CHGB', 'bio/hg38_CHGB', 'bio/hg19_HOXA13', 'bio/hg38_HOXA13', 'bio/hg19_MT1H', 'bio/hg38_MT1H', 'bio/hg19_TAGAP', 'bio/hg38_TAGAP', 'bio/hg19_EDNRB', 'bio/hg38_EDNRB', 'bio/hg19_EPHA1', 'bio/hg38_EPHA1', 'bio/hg19_SSTR2', 'bio/hg38_SSTR2', 'bio/hg19_KIAA0101', 'bio/hg19_FCN1', 'bio/hg38_FCN1', 'bio/hg19_DSP', 'bio/hg38_DSP', 'bio/hg19_APLNR', 'bio/hg38_APLNR', 'bio/hg19_CASR', 'bio/hg38_CASR', 'bio/hg19_HMG20A', 'bio/hg38_HMG20A', 'bio/hg19_JMJD6', 'bio/hg38_JMJD6', 'bio/hg19_MUC20', 'bio/hg38_MUC20', 'bio/hg19_CLEC7A', 'bio/hg38_CLEC7A', 'bio/hg19_DSG2', 'bio/hg38_DSG2', 'bio/hg19_NUCB1', 'bio/hg38_NUCB1', 'bio/hg19_ADRA1D', 'bio/hg38_ADRA1D', 'bio/hg19_MT-CYB', 'bio/hg38_MT-CYB', 'bio/hg19_BACH2', 'bio/hg38_BACH2', 'bio/hg19_LEPREL2', 'bio/hg19_RSPO3', 'bio/hg38_RSPO3', 'bio/hg19_LDLR', 'bio/hg38_LDLR', 'bio/hg19_SPINK13', 'bio/hg38_SPINK13', 'bio/hg19_PPA2', 'bio/hg38_PPA2', 'bio/hg19_CPA3', 'bio/hg38_CPA3', 'bio/hg19_CD1A', 'bio/hg38_CD1A', 'bio/hg19_APBA2', 'bio/hg38_APBA2', 'bio/hg19_PMS2', 'bio/hg38_PMS2', 'bio/hg19_LRP6', 'bio/hg38_LRP6', 'bio/hg19_CAPN13', 'bio/hg38_CAPN13', 'bio/hg19_PTPN22', 'bio/hg38_PTPN22', 'bio/hg19_CXCR5', 'bio/hg38_CXCR5', 'bio/hg19_TWIST1', 'bio/hg38_TWIST1', 'bio/hg19_LRRK2', 'bio/hg38_LRRK2', 'bio/hg19_MT-CO2', 'bio/hg38_MT-CO2', 'bio/hg19_ANGPT2', 'bio/hg38_ANGPT2', 'bio/hg19_SDF4', 'bio/hg38_SDF4', 'bio/hg19_SLC6A20', 'bio/hg38_SLC6A20', 'bio/hg19_NKX2-3', 'bio/hg38_NKX2-3', 'bio/hg19_NPL', 'bio/hg38_NPL', 'bio/hg19_LAMP3', 'bio/hg38_LAMP3', 'bio/hg19_SRF', 'bio/hg38_SRF', 'bio/hg19_ENKUR', 'bio/hg38_ENKUR', 'bio/hg19_NR3C2', 'bio/hg38_NR3C2', 'bio/hg19_IL32', 'bio/hg38_IL32', 'bio/hg19_GBP3', 'bio/hg38_GBP3', 'bio/hg19_CCR1', 'bio/hg38_CCR1', 'bio/hg19_NDFIP1', 'bio/hg38_NDFIP1', 'bio/hg19_C3AR1', 'bio/hg38_C3AR1', 'bio/hg19_EPO', 'bio/hg38_EPO', 'bio/hg19_TSPAN8', 'bio/hg38_TSPAN8', 'bio/hg19_ELOVL2', 'bio/hg38_ELOVL2', 'bio/hg19_PVRL2', 'bio/hg19_C5', 'bio/hg38_C5', 'bio/hg19_PINX1', 'bio/hg38_PINX1', 'bio/hg19_CEACAM8', 'bio/hg38_CEACAM8', 'bio/hg19_CCR7', 'bio/hg38_CCR7', 'bio/hg19_MEF2C', 'bio/hg38_MEF2C', 'bio/hg19_F11', 'bio/hg38_F11', 'bio/hg19_PTK2B', 'bio/hg38_PTK2B', 'bio/hg19_RIPK1', 'bio/hg38_RIPK1', 'bio/hg19_NEDD4L', 'bio/hg38_NEDD4L', 'bio/hg19_FOLR2', 'bio/hg38_FOLR2', 'bio/hg19_RUNX2', 'bio/hg38_RUNX2', 'bio/hg19_FAM92B', 'bio/hg38_FAM92B', 'bio/hg19_CLEC4E', 'bio/hg38_CLEC4E', 'bio/hg19_CLEC4A', 'bio/hg38_CLEC4A', 'bio/hg19_FRK', 'bio/hg38_FRK', 'bio/hg19_DNM1L', 'bio/hg38_DNM1L', 'bio/hg19_CPEB4', 'bio/hg38_CPEB4', 'bio/hg19_GPR25', 'bio/hg38_GPR25', 'bio/hg19_ANKRD55', 'bio/hg38_ANKRD55', 'bio/hg19_NPY2R', 'bio/hg38_NPY2R', 'bio/hg19_PTPN1', 'bio/hg38_PTPN1', 'bio/hg19_FABP3', 'bio/hg38_FABP3', 'bio/hg19_MUC7', 'bio/hg38_MUC7', 'bio/hg19_RNASE1', 'bio/hg38_RNASE1', 'bio/hg19_IFNB1', 'bio/hg38_IFNB1', 'bio/hg19_BRD4', 'bio/hg38_BRD4', 'bio/hg19_ST6GALNAC4', 'bio/hg38_ST6GALNAC4', 'bio/hg19_IL1RL1', 'bio/hg38_IL1RL1', 'bio/hg19_RPS23', 'bio/hg38_RPS23', 'bio/hg19_CALB2', 'bio/hg38_CALB2', 'bio/hg19_PTPN2', 'bio/hg38_PTPN2', 'bio/hg19_NFKBIA', 'bio/hg38_NFKBIA', 'bio/hg19_CD14', 'bio/hg38_CD14', 'bio/hg19_CCDC88B', 'bio/hg38_CCDC88B', 'bio/hg19_VAV2', 'bio/hg38_VAV2', 'bio/hg19_IL5RA', 'bio/hg38_IL5RA', 'bio/hg19_FGF4', 'bio/hg38_FGF4', 'bio/hg19_KCNQ1', 'bio/hg38_KCNQ1', 'bio/hg19_ZSCAN9', 'bio/hg38_ZSCAN9', 'bio/hg19_EID1', 'bio/hg38_EID1', 'bio/hg19_GIPC2', 'bio/hg38_GIPC2', 'bio/hg19_NAMPT', 'bio/hg38_NAMPT', 'bio/hg19_BIRC3', 'bio/hg38_BIRC3', 'bio/hg19_NAT2', 'bio/hg38_NAT2', 'bio/hg19_CPQ', 'bio/hg38_CPQ', 'bio/hg19_CLDN1', 'bio/hg38_CLDN1', 'bio/hg19_GCSAML', 'bio/hg38_GCSAML', 'bio/hg19_DEFB106B', 'bio/hg38_DEFB106B', 'bio/hg19_CD209', 'bio/hg38_CD209', 'bio/hg19_EXOC2', 'bio/hg38_EXOC2', 'bio/hg19_UBE2L3', 'bio/hg38_UBE2L3', 'bio/hg19_MUC3A', 'bio/hg38_MUC3A', 'bio/hg19_SMURF2', 'bio/hg38_SMURF2', 'bio/hg19_FGF1', 'bio/hg38_FGF1', 'bio/hg19_SPHK1', 'bio/hg38_SPHK1', 'bio/hg19_PGLYRP3', 'bio/hg38_PGLYRP3', 'bio/hg19_C10orf55', 'bio/hg38_C10orf55', 'bio/hg19_DCLRE1C', 'bio/hg38_DCLRE1C', 'bio/hg19_IRX3', 'bio/hg38_IRX3', 'bio/hg19_CD38', 'bio/hg38_CD38', 'bio/hg19_ADCY10', 'bio/hg38_ADCY10', 'bio/hg19_PLCL1', 'bio/hg38_PLCL1', 'bio/hg19_YIPF4', 'bio/hg38_YIPF4', 'bio/hg19_DDR1', 'bio/hg38_DDR1', 'bio/hg19_RNASE3', 'bio/hg38_RNASE3', 'bio/hg19_GTPBP4', 'bio/hg38_GTPBP4', 'bio/hg19_SNAI1', 'bio/hg38_SNAI1', 'bio/hg19_BDNF', 'bio/hg38_BDNF', 'bio/hg19_CLEC9A', 'bio/hg38_CLEC9A', 'bio/hg19_VDR', 'bio/hg38_VDR', 'bio/hg19_LGALS4', 'bio/hg38_LGALS4', 'bio/hg19_CLPS', 'bio/hg38_CLPS', 'bio/hg19_NLRP13', 'bio/hg38_NLRP13', 'bio/hg19_NPR3', 'bio/hg38_NPR3', 'bio/hg19_HMGCR', 'bio/hg38_HMGCR', 'bio/hg19_CHPF', 'bio/hg38_CHPF', 'bio/hg19_TRIP6', 'bio/hg38_TRIP6', 'bio/hg19_SLC16A1', 'bio/hg38_SLC16A1', 'bio/hg19_SLC2A1', 'bio/hg38_SLC2A1', 'bio/hg19_SPHK2', 'bio/hg38_SPHK2', 'bio/hg19_PLA2G4A', 'bio/hg38_PLA2G4A', 'bio/hg19_ITGAV', 'bio/hg38_ITGAV', 'bio/hg19_KPNA7', 'bio/hg38_KPNA7', 'bio/hg19_SET', 'bio/hg38_SET', 'bio/hg19_OR4A16', 'bio/hg38_OR4A16', 'bio/hg19_P4HA2', 'bio/hg38_P4HA2', 'bio/hg19_OAT', 'bio/hg38_OAT', 'bio/hg19_RGS1', 'bio/hg38_RGS1', 'bio/hg19_SCAI', 'bio/hg38_SCAI', 'bio/hg19_ZC3H12C', 'bio/hg38_ZC3H12C', 'bio/hg19_PPP1R12A', 'bio/hg38_PPP1R12A', 'bio/hg19_FADS2', 'bio/hg38_FADS2', 'bio/hg19_ADAMTS13', 'bio/hg38_ADAMTS13', 'bio/hg19_IL23R', 'bio/hg38_IL23R', 'bio/hg19_KEAP1', 'bio/hg38_KEAP1', 'bio/hg19_NRP1', 'bio/hg38_NRP1', 'bio/hg19_STX4', 'bio/hg38_STX4', 'bio/hg19_IFNG', 'bio/hg38_IFNG', 'bio/hg19_IFI35', 'bio/hg38_IFI35', 'bio/hg19_FAM134B', 'bio/hg19_TYMS', 'bio/hg38_TYMS', 'bio/hg19_NICN1', 'bio/hg38_NICN1', 'bio/hg19_CLCN5', 'bio/hg38_CLCN5', 'bio/hg19_JAZF1', 'bio/hg38_JAZF1', 'bio/hg19_HIST1H4L', 'bio/hg38_HIST1H4L', 'bio/hg19_FCER1A', 'bio/hg38_FCER1A', 'bio/hg19_GPT', 'bio/hg38_GPT', 'bio/hg19_ARHGAP9', 'bio/hg38_ARHGAP9', 'bio/hg19_ATP5A1', 'bio/hg19_SNRPA', 'bio/hg38_SNRPA', 'bio/hg19_REG3G', 'bio/hg38_REG3G', 'bio/hg19_PANX2', 'bio/hg38_PANX2', 'bio/hg19_SERPINC1', 'bio/hg38_SERPINC1', 'bio/hg19_MSI1', 'bio/hg38_MSI1', 'bio/hg19_FOS', 'bio/hg38_FOS', 'bio/hg19_TRIM8', 'bio/hg38_TRIM8', 'bio/hg19_IRGM', 'bio/hg38_IRGM', 'bio/hg19_TP53', 'bio/hg38_TP53', 'bio/hg19_LGALS8', 'bio/hg38_LGALS8', 'bio/hg19_FCGR1A', 'bio/hg38_FCGR1A', 'bio/hg19_EIF4EBP1', 'bio/hg38_EIF4EBP1', 'bio/hg19_MAP3K13', 'bio/hg38_MAP3K13', 'bio/hg19_ZDHHC1', 'bio/hg38_ZDHHC1', 'bio/hg19_TNFSF18', 'bio/hg38_TNFSF18', 'bio/hg19_CXCL17', 'bio/hg38_CXCL17', 'bio/hg19_ANXA5', 'bio/hg38_ANXA5', 'bio/hg19_HDAC3', 'bio/hg38_HDAC3', 'bio/hg19_EXO1', 'bio/hg38_EXO1', 'bio/hg19_CLEC2A', 'bio/hg38_CLEC2A', 'bio/hg19_RSPO2', 'bio/hg38_RSPO2', 'bio/hg19_MB21D1', 'bio/hg19_USP38', 'bio/hg38_USP38', 'bio/hg19_NEDD4', 'bio/hg38_NEDD4', 'bio/hg19_VWF', 'bio/hg38_VWF', 'bio/hg19_ACVR2A', 'bio/hg38_ACVR2A', 'bio/hg19_TRIL', 'bio/hg38_TRIL', 'bio/hg19_CASP8', 'bio/hg38_CASP8', 'bio/hg19_IGF1', 'bio/hg38_IGF1', 'bio/hg19_TSHR', 'bio/hg38_TSHR', 'bio/hg19_ZFP36', 'bio/hg38_ZFP36', 'bio/hg19_RNASEH2C', 'bio/hg38_RNASEH2C', 'bio/hg19_HSPA5', 'bio/hg38_HSPA5', 'bio/hg19_ABHD3', 'bio/hg38_ABHD3', 'bio/hg19_TMBIM1', 'bio/hg38_TMBIM1', 'bio/hg19_RORA', 'bio/hg38_RORA', 'bio/hg19_ATM', 'bio/hg38_ATM', 'bio/hg19_FLT1', 'bio/hg38_FLT1', 'bio/hg19_CTSL', 'bio/hg38_CTSL', 'bio/hg19_IL15RA', 'bio/hg38_IL15RA', 'bio/hg19_VCAN', 'bio/hg38_VCAN', 'bio/hg19_FTO', 'bio/hg38_FTO', 'bio/hg19_CYP2C8', 'bio/hg38_CYP2C8', 'bio/hg19_HLA-DRB1', 'bio/hg38_HLA-DRB1', 'bio/hg19_CHRM1', 'bio/hg38_CHRM1', 'bio/hg19_C5orf30', 'bio/hg38_C5orf30', 'bio/hg19_MAP3K5', 'bio/hg38_MAP3K5', 'bio/hg19_ST3GAL1', 'bio/hg38_ST3GAL1', 'bio/hg19_MRC1', 'bio/hg38_MRC1', 'bio/hg19_P2RY13', 'bio/hg38_P2RY13', 'bio/hg19_PLCL2', 'bio/hg38_PLCL2', 'bio/hg19_IL26', 'bio/hg38_IL26', 'bio/hg19_HRH2', 'bio/hg38_HRH2', 'bio/hg19_CTF1', 'bio/hg38_CTF1', 'bio/hg19_RRAS', 'bio/hg38_RRAS', 'bio/hg19_GHITM', 'bio/hg38_GHITM', 'bio/hg19_CRHR2', 'bio/hg38_CRHR2', 'bio/hg19_PLEKHM1', 'bio/hg38_PLEKHM1', 'bio/hg19_IRAK3', 'bio/hg38_IRAK3', 'bio/hg19_CXCR6', 'bio/hg38_CXCR6', 'bio/hg19_ORM2', 'bio/hg38_ORM2', 'bio/hg19_SATB1', 'bio/hg38_SATB1', 'bio/hg19_LTB4R2', 'bio/hg38_LTB4R2', 'bio/hg19_CD300LB', 'bio/hg38_CD300LB', 'bio/hg19_CD22', 'bio/hg38_CD22', 'bio/hg19_PIM1', 'bio/hg38_PIM1', 'bio/hg19_CYP2C9', 'bio/hg38_CYP2C9', 'bio/hg19_UBE2D3', 'bio/hg38_UBE2D3', 'bio/hg19_DICER1', 'bio/hg38_DICER1', 'bio/hg19_CDKN1B', 'bio/hg38_CDKN1B', 'bio/hg19_MYH9', 'bio/hg38_MYH9', 'bio/hg19_KMT2A', 'bio/hg38_KMT2A', 'bio/hg19_NTAN1', 'bio/hg38_NTAN1', 'bio/hg19_PIK3CG', 'bio/hg38_PIK3CG', 'bio/hg19_MIS12', 'bio/hg38_MIS12', 'bio/hg19_NR1D2', 'bio/hg38_NR1D2', 'bio/hg19_ABCC8', 'bio/hg38_ABCC8', 'bio/hg19_DENND2D', 'bio/hg38_DENND2D', 'bio/hg19_ZNF629', 'bio/hg38_ZNF629', 'bio/hg19_PDE6B', 'bio/hg38_PDE6B', 'bio/hg19_CDH11', 'bio/hg38_CDH11', 'bio/hg19_ZBTB10', 'bio/hg38_ZBTB10', 'bio/hg19_BBC3', 'bio/hg38_BBC3', 'bio/hg19_SBNO2', 'bio/hg38_SBNO2', 'bio/hg19_MNAT1', 'bio/hg38_MNAT1', 'bio/hg19_BGLAP', 'bio/hg38_BGLAP', 'bio/hg19_MUC16', 'bio/hg38_MUC16', 'bio/hg19_CETP', 'bio/hg38_CETP', 'bio/hg19_ATG13', 'bio/hg38_ATG13', 'bio/hg19_CAMLG', 'bio/hg38_CAMLG', 'bio/hg19_CECR1', 'bio/hg19_MMP12', 'bio/hg38_MMP12', 'bio/hg19_RARS', 'bio/hg38_RARS', 'bio/hg19_ALDH2', 'bio/hg38_ALDH2', 'bio/hg19_SELK', 'bio/hg19_CTRL', 'bio/hg38_CTRL', 'bio/hg19_OTUD1', 'bio/hg38_OTUD1', 'bio/hg19_MMP3', 'bio/hg38_MMP3', 'bio/hg19_IL27', 'bio/hg38_IL27', 'bio/hg19_FUT7', 'bio/hg38_FUT7', 'bio/hg19_DEFA4', 'bio/hg38_DEFA4', 'bio/hg19_NPEPPS', 'bio/hg38_NPEPPS', 'bio/hg19_OSGIN2', 'bio/hg38_OSGIN2', 'bio/hg19_BAZ1A', 'bio/hg38_BAZ1A', 'bio/hg19_ATG2B', 'bio/hg38_ATG2B', 'bio/hg19_PIN1', 'bio/hg38_PIN1', 'bio/hg19_SLC22A5', 'bio/hg38_SLC22A5', 'bio/hg19_DEFA1', 'bio/hg38_DEFA1', 'bio/hg19_LBP', 'bio/hg38_LBP', 'bio/hg19_REM1', 'bio/hg38_REM1', 'bio/hg19_PTHLH', 'bio/hg38_PTHLH', 'bio/hg19_NR0B2', 'bio/hg38_NR0B2', 'bio/hg19_NAA50', 'bio/hg38_NAA50', 'bio/hg19_HRH4', 'bio/hg38_HRH4', 'bio/hg19_CDX2', 'bio/hg38_CDX2', 'bio/hg19_CCL11', 'bio/hg38_CCL11', 'bio/hg19_PMP22', 'bio/hg38_PMP22', 'bio/hg19_PLAUR', 'bio/hg38_PLAUR', 'bio/hg19_LAMP1', 'bio/hg38_LAMP1', 'bio/hg19_CD74', 'bio/hg38_CD74', 'bio/hg19_EDN3', 'bio/hg38_EDN3', 'bio/hg19_FGFR4', 'bio/hg38_FGFR4', 'bio/hg19_ELOVL6', 'bio/hg38_ELOVL6', 'bio/hg19_DLD', 'bio/hg38_DLD', 'bio/hg19_NKG7', 'bio/hg38_NKG7', 'bio/hg19_TRPV3', 'bio/hg38_TRPV3', 'bio/hg19_ADM', 'bio/hg38_ADM', 'bio/hg19_MCAM', 'bio/hg38_MCAM', 'bio/hg19_CD68', 'bio/hg38_CD68', 'bio/hg19_CHRNA7', 'bio/hg38_CHRNA7', 'bio/hg19_ARPC2', 'bio/hg38_ARPC2', 'bio/hg19_CXADR', 'bio/hg38_CXADR', 'bio/hg19_HLA-A', 'bio/hg38_HLA-A', 'bio/hg19_CD7', 'bio/hg38_CD7', 'bio/hg19_PADI2', 'bio/hg38_PADI2', 'bio/hg19_ULK4', 'bio/hg38_ULK4', 'bio/hg19_B3GNT2', 'bio/hg38_B3GNT2', 'bio/hg19_CAPN5', 'bio/hg38_CAPN5', 'bio/hg19_DNASE1', 'bio/hg38_DNASE1', 'bio/hg19_ASIC2', 'bio/hg38_ASIC2', 'bio/hg19_CD3D', 'bio/hg38_CD3D', 'bio/hg19_HIST1H4F', 'bio/hg38_HIST1H4F', 'bio/hg19_MTMR3', 'bio/hg38_MTMR3', 'bio/hg19_SARM1', 'bio/hg38_SARM1', 'bio/hg19_UCP2', 'bio/hg38_UCP2', 'bio/hg19_HSPB1', 'bio/hg38_HSPB1', 'bio/hg19_KIR3DL3', 'bio/hg38_KIR3DL3', 'bio/hg19_PCSK9', 'bio/hg38_PCSK9', 'bio/hg19_CBFA2T2', 'bio/hg38_CBFA2T2', 'bio/hg19_OTULIN', 'bio/hg38_OTULIN', 'bio/hg19_GDF15', 'bio/hg38_GDF15', 'bio/hg19_PRG2', 'bio/hg38_PRG2', 'bio/hg19_ARHGEF6', 'bio/hg38_ARHGEF6', 'bio/hg19_PIK3CA', 'bio/hg38_PIK3CA', 'bio/hg19_RPS26', 'bio/hg38_RPS26', 'bio/hg19_EGF', 'bio/hg38_EGF', 'bio/hg19_OTUD5', 'bio/hg38_OTUD5', 'bio/hg19_EIF2AK3', 'bio/hg38_EIF2AK3', 'bio/hg19_PANX3', 'bio/hg38_PANX3', 'bio/hg19_GRM7', 'bio/hg38_GRM7', 'bio/hg19_IMMT', 'bio/hg38_IMMT', 'bio/hg19_FOSL1', 'bio/hg38_FOSL1', 'bio/hg19_IL1RL2', 'bio/hg38_IL1RL2', 'bio/hg19_S1PR3', 'bio/hg38_S1PR3', 'bio/hg19_SEMA5A', 'bio/hg38_SEMA5A', 'bio/hg19_SLC15A3', 'bio/hg38_SLC15A3', 'bio/hg19_FCRL5', 'bio/hg38_FCRL5', 'bio/hg19_SERPINB8', 'bio/hg38_SERPINB8', 'bio/hg19_LINC01194', 'bio/hg38_LINC01194', 'bio/hg19_HDAC2', 'bio/hg38_HDAC2', 'bio/hg19_ZMIZ1', 'bio/hg38_ZMIZ1', 'bio/hg19_SLC7A10', 'bio/hg38_SLC7A10', 'bio/hg19_RAP2B', 'bio/hg38_RAP2B', 'bio/hg19_KALRN', 'bio/hg38_KALRN', 'bio/hg19_NFKBIZ', 'bio/hg38_NFKBIZ', 'bio/hg19_ANGPT4', 'bio/hg38_ANGPT4', 'bio/hg19_PUS10', 'bio/hg38_PUS10', 'bio/hg19_HOPX', 'bio/hg38_HOPX', 'bio/hg19_MBTPS1', 'bio/hg38_MBTPS1', 'bio/hg19_CHI3L1', 'bio/hg38_CHI3L1', 'bio/hg19_CXCL5', 'bio/hg38_CXCL5', 'bio/hg19_CLDN7', 'bio/hg38_CLDN7', 'bio/hg19_TREM2', 'bio/hg38_TREM2', 'bio/hg19_ATG4D', 'bio/hg38_ATG4D', 'bio/hg19_DVL1', 'bio/hg38_DVL1', 'bio/hg19_CSNK1E', 'bio/hg38_CSNK1E', 'bio/hg19_MDFIC', 'bio/hg38_MDFIC', 'bio/hg19_CTCF', 'bio/hg38_CTCF', 'bio/hg19_PRTN3', 'bio/hg38_PRTN3', 'bio/hg19_PDLIM7', 'bio/hg38_PDLIM7', 'bio/hg19_CCL14', 'bio/hg38_CCL14', 'bio/hg19_CACNA1B', 'bio/hg38_CACNA1B', 'bio/hg19_DDX5', 'bio/hg38_DDX5', 'bio/hg19_PLA2G2E', 'bio/hg38_PLA2G2E', 'bio/hg19_ITGA4', 'bio/hg38_ITGA4', 'bio/hg19_DNAL1', 'bio/hg38_DNAL1', 'bio/hg19_AKR1B1', 'bio/hg38_AKR1B1', 'bio/hg19_F11R', 'bio/hg38_F11R', 'bio/hg19_CCL7', 'bio/hg38_CCL7', 'bio/hg19_CYP27B1', 'bio/hg38_CYP27B1', 'bio/hg19_CLN3', 'bio/hg38_CLN3', 'bio/hg19_FABP2', 'bio/hg38_FABP2', 'bio/hg19_NCF1', 'bio/hg38_NCF1', 'bio/hg19_RAB13', 'bio/hg38_RAB13', 'bio/hg19_ORAI1', 'bio/hg38_ORAI1', 'bio/hg19_CD1B', 'bio/hg38_CD1B', 'bio/hg19_SPNS2', 'bio/hg38_SPNS2', 'bio/hg19_GGT1', 'bio/hg38_GGT1', 'bio/hg19_DPP8', 'bio/hg38_DPP8', 'bio/hg19_CRYGC', 'bio/hg38_CRYGC', 'bio/hg19_IL12RB1', 'bio/hg38_IL12RB1', 'bio/hg19_DAZAP2', 'bio/hg38_DAZAP2', 'bio/hg19_PTEN', 'bio/hg38_PTEN', 'bio/hg19_TSPAN32', 'bio/hg38_TSPAN32', 'bio/hg19_GUCA2A', 'bio/hg38_GUCA2A', 'bio/hg19_TRPV4', 'bio/hg38_TRPV4', 'bio/hg19_OGT', 'bio/hg38_OGT', 'bio/hg19_RAB7A', 'bio/hg38_RAB7A', 'bio/hg19_HSPE1', 'bio/hg38_HSPE1', 'bio/hg19_LRSAM1', 'bio/hg38_LRSAM1', 'bio/hg19_SMPD2', 'bio/hg38_SMPD2', 'bio/hg19_ERBB2', 'bio/hg38_ERBB2', 'bio/hg19_CD1E', 'bio/hg38_CD1E', 'bio/hg19_BAI1', 'bio/hg19_CYGB', 'bio/hg38_CYGB', 'bio/hg19_CDX1', 'bio/hg38_CDX1', 'bio/hg19_UCN', 'bio/hg38_UCN', 'bio/hg19_TANK', 'bio/hg38_TANK', 'bio/hg19_KLK11', 'bio/hg38_KLK11', 'bio/hg19_IRF1', 'bio/hg38_IRF1', 'bio/hg19_HLA-DMB', 'bio/hg38_HLA-DMB', 'bio/hg19_LCE3D', 'bio/hg38_LCE3D', 'bio/hg19_FTH1', 'bio/hg38_FTH1', 'bio/hg19_BIN2', 'bio/hg38_BIN2', 'bio/hg19_SFTPA1', 'bio/hg38_SFTPA1', 'bio/hg19_AFP', 'bio/hg38_AFP', 'bio/hg19_WAPAL', 'bio/hg19_HCAR2', 'bio/hg38_HCAR2', 'bio/hg19_NCOR1', 'bio/hg38_NCOR1', 'bio/hg19_SPG7', 'bio/hg38_SPG7', 'bio/hg19_RBM17', 'bio/hg38_RBM17', 'bio/hg19_PF4', 'bio/hg38_PF4', 'bio/hg19_TCF3', 'bio/hg38_TCF3', 'bio/hg19_CCL16', 'bio/hg38_CCL16', 'bio/hg19_GHRH', 'bio/hg38_GHRH', 'bio/hg19_RDH10', 'bio/hg38_RDH10', 'bio/hg19_GPR126', 'bio/hg19_EPHB2', 'bio/hg38_EPHB2', 'bio/hg19_MANBA', 'bio/hg38_MANBA', 'bio/hg19_NOD2', 'bio/hg38_NOD2', 'bio/hg19_RTEL1', 'bio/hg38_RTEL1', 'bio/hg19_PPP6C', 'bio/hg38_PPP6C', 'bio/hg19_C1QTNF6', 'bio/hg38_C1QTNF6', 'bio/hg19_HSPA8', 'bio/hg38_HSPA8', 'bio/hg19_SCAMP3', 'bio/hg38_SCAMP3', 'bio/hg19_TBC1D3D', 'bio/hg38_TBC1D3D', 'bio/hg19_IL1R2', 'bio/hg38_IL1R2', 'bio/hg19_SOD3', 'bio/hg38_SOD3', 'bio/hg19_IL23A', 'bio/hg38_IL23A', 'bio/hg19_HNF4G', 'bio/hg38_HNF4G', 'bio/hg19_CD24', 'bio/hg38_CD24', 'bio/hg19_ERAP1', 'bio/hg38_ERAP1', 'bio/hg19_S100A10', 'bio/hg38_S100A10', 'bio/hg19_IRGQ', 'bio/hg38_IRGQ', 'bio/hg19_ZFP90', 'bio/hg38_ZFP90', 'bio/hg19_MKL1', 'bio/hg19_CXCL5', 'bio/hg38_CXCL5', 'bio/hg19_SFTA3', 'bio/hg38_SFTA3', 'bio/hg19_CAPN9', 'bio/hg38_CAPN9', 'bio/hg19_GADD45G', 'bio/hg38_GADD45G', 'bio/hg19_GGT2', 'bio/hg38_GGT2', 'bio/hg19_IL10', 'bio/hg38_IL10', 'bio/hg19_IBSP', 'bio/hg38_IBSP', 'bio/hg19_ELANE', 'bio/hg38_ELANE', 'bio/hg19_JUND', 'bio/hg38_JUND', 'bio/hg19_IL3', 'bio/hg38_IL3', 'bio/hg19_RPE', 'bio/hg38_RPE', 'bio/hg19_SLC45A2', 'bio/hg38_SLC45A2', 'bio/hg19_FAM92B', 'bio/hg38_FAM92B', 'bio/hg19_GLI1', 'bio/hg38_GLI1', 'bio/hg19_CTGF', 'bio/hg38_CTGF', 'bio/hg19_GCC1', 'bio/hg38_GCC1', 'bio/hg19_AQP9', 'bio/hg38_AQP9', 'bio/hg19_ADARB2', 'bio/hg38_ADARB2', 'bio/hg19_HLA-DQB1', 'bio/hg38_HLA-DQB1', 'bio/hg19_ATG14', 'bio/hg38_ATG14', 'bio/hg19_P2RX3', 'bio/hg38_P2RX3', 'bio/hg19_CSF2', 'bio/hg38_CSF2', 'bio/hg19_SLC35A2', 'bio/hg38_SLC35A2', 'bio/hg19_OSM', 'bio/hg38_OSM', 'bio/hg19_MUC1', 'bio/hg38_MUC1', 'bio/hg19_ST8SIA2', 'bio/hg38_ST8SIA2', 'bio/hg19_RAP1A', 'bio/hg38_RAP1A', 'bio/hg19_B3GAT1', 'bio/hg38_B3GAT1', 'bio/hg19_BEST1', 'bio/hg38_BEST1', 'bio/hg19_ELF1', 'bio/hg38_ELF1', 'bio/hg19_IFNG-AS1', 'bio/hg38_IFNG-AS1', 'bio/hg19_SLC12A8', 'bio/hg38_SLC12A8', 'bio/hg19_ACKR4', 'bio/hg38_ACKR4', 'bio/hg19_ZSWIM2', 'bio/hg38_ZSWIM2', 'bio/hg19_RTN4IP1', 'bio/hg38_RTN4IP1', 'bio/hg19_CYP4F2', 'bio/hg38_CYP4F2', 'bio/hg19_PAEP', 'bio/hg38_PAEP', 'bio/hg19_ADAM19', 'bio/hg38_ADAM19', 'bio/hg19_SLC7A10', 'bio/hg38_SLC7A10', 'bio/hg19_TRPC3', 'bio/hg38_TRPC3', 'bio/hg19_UNG', 'bio/hg38_UNG', 'bio/hg19_SLC18A3', 'bio/hg38_SLC18A3', 'bio/hg19_CTSD', 'bio/hg38_CTSD', 'bio/hg19_MX2', 'bio/hg38_MX2', 'bio/hg19_HLA-F', 'bio/hg38_HLA-F', 'bio/hg19_ADCYAP1', 'bio/hg38_ADCYAP1', 'bio/hg19_SEMA7A', 'bio/hg38_SEMA7A', 'bio/hg19_DDIT4', 'bio/hg38_DDIT4', 'bio/hg19_MMP9', 'bio/hg38_MMP9', 'bio/hg19_ALOX5AP', 'bio/hg38_ALOX5AP', 'bio/hg19_KCNK4', 'bio/hg38_KCNK4', 'bio/hg19_MYC', 'bio/hg38_MYC', 'bio/hg19_TXN', 'bio/hg38_TXN', 'bio/hg19_STAB1', 'bio/hg38_STAB1', 'bio/hg19_CASP9', 'bio/hg38_CASP9', 'bio/hg19_SKIV2L', 'bio/hg38_SKIV2L', 'bio/hg19_IL1A', 'bio/hg38_IL1A', 'bio/hg19_CFH', 'bio/hg38_CFH', 'bio/hg19_COX5A', 'bio/hg38_COX5A', 'bio/hg19_PSTPIP2', 'bio/hg38_PSTPIP2', 'bio/hg19_RETNLB', 'bio/hg38_RETNLB', 'bio/hg19_LONRF2', 'bio/hg38_LONRF2', 'bio/hg19_FCAR', 'bio/hg38_FCAR', 'bio/hg19_IRGC', 'bio/hg38_IRGC', 'bio/hg19_MT-CO1', 'bio/hg38_MT-CO1', 'bio/hg19_ABCF2', 'bio/hg38_ABCF2', 'bio/hg19_LINC01554', 'bio/hg38_LINC01554', 'bio/hg19_SLAMF7', 'bio/hg38_SLAMF7', 'bio/hg19_VPS35', 'bio/hg38_VPS35', 'bio/hg19_RPS18', 'bio/hg38_RPS18', 'bio/hg19_RNASEL', 'bio/hg38_RNASEL', 'bio/hg19_ST8SIA4', 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'bio/hg19_HDAC4', 'bio/hg38_HDAC4', 'bio/hg19_MYD88', 'bio/hg38_MYD88', 'bio/hg19_RHD', 'bio/hg38_RHD', 'bio/hg19_C10orf54', 'bio/hg19_FAM69A', 'bio/hg38_FAM69A', 'bio/hg19_CLEC6A', 'bio/hg38_CLEC6A', 'bio/hg19_DEFB115', 'bio/hg38_DEFB115', 'bio/hg19_SLCO4A1', 'bio/hg38_SLCO4A1', 'bio/hg19_JAK2', 'bio/hg38_JAK2', 'bio/hg19_P2RY2', 'bio/hg38_P2RY2', 'bio/hg19_SLC9A3R2', 'bio/hg38_SLC9A3R2', 'bio/hg19_OR5D13', 'bio/hg38_OR5D13', 'bio/hg19_ITGB2', 'bio/hg38_ITGB2', 'bio/hg19_TRIM27', 'bio/hg38_TRIM27', 'bio/hg19_CD274', 'bio/hg38_CD274', 'bio/hg19_BIRC2', 'bio/hg38_BIRC2', 'bio/hg19_DBT', 'bio/hg38_DBT', 'bio/hg19_EHD3', 'bio/hg38_EHD3', 'bio/hg19_PTS', 'bio/hg38_PTS', 'bio/hg19_P2RY11', 'bio/hg38_P2RY11', 'bio/hg19_CCL2', 'bio/hg38_CCL2', 'bio/hg19_DCLK1', 'bio/hg38_DCLK1', 'bio/hg19_IGBP1', 'bio/hg38_IGBP1', 'bio/hg19_IRS1', 'bio/hg38_IRS1', 'bio/hg19_FHIT', 'bio/hg38_FHIT', 'bio/hg19_FABP1', 'bio/hg38_FABP1', 'bio/hg19_SSTR1', 'bio/hg38_SSTR1', 'bio/hg19_KDM6B', 'bio/hg38_KDM6B', 'bio/hg19_CHRM2', 'bio/hg38_CHRM2', 'bio/hg19_LIPC', 'bio/hg38_LIPC', 'bio/hg19_ZMIZ1', 'bio/hg38_ZMIZ1', 'bio/hg19_RHOJ', 'bio/hg38_RHOJ', 'bio/hg19_GABARAPL1', 'bio/hg38_GABARAPL1', 'bio/hg19_FGF10', 'bio/hg38_FGF10', 'bio/hg19_SH3GL1', 'bio/hg38_SH3GL1', 'bio/hg19_ZBTB44', 'bio/hg38_ZBTB44', 'bio/hg19_C11orf30', 'bio/hg19_FLNA', 'bio/hg38_FLNA', 'bio/hg19_RAB1A', 'bio/hg38_RAB1A', 'bio/hg19_DEFB107A', 'bio/hg38_DEFB107A', 'bio/hg19_FGFR1OP', 'bio/hg38_FGFR1OP', 'bio/hg19_STS', 'bio/hg38_STS', 'bio/hg19_ANKRD55', 'bio/hg38_ANKRD55', 'bio/hg19_CAMP', 'bio/hg38_CAMP', 'bio/hg19_TBKBP1', 'bio/hg38_TBKBP1', 'bio/hg19_OCA2', 'bio/hg38_OCA2', 'bio/hg19_CARD11', 'bio/hg38_CARD11', 'bio/hg19_SCARF1', 'bio/hg38_SCARF1', 'bio/hg19_SLC29A2', 'bio/hg38_SLC29A2', 'bio/hg19_SERPINA1', 'bio/hg38_SERPINA1', 'bio/hg19_CYBA', 'bio/hg38_CYBA', 'bio/hg19_COL1A2', 'bio/hg38_COL1A2', 'bio/hg19_METTL13', 'bio/hg38_METTL13', 'bio/hg19_CD27', 'bio/hg38_CD27', 'bio/hg19_CD86', 'bio/hg38_CD86', 'bio/hg19_CCT3', 'bio/hg38_CCT3', 'bio/hg19_FLT4', 'bio/hg38_FLT4', 'bio/hg19_C8orf74', 'bio/hg38_C8orf74', 'bio/hg19_CYCS', 'bio/hg38_CYCS', 'bio/hg19_TMEM183A', 'bio/hg38_TMEM183A', 'bio/hg19_SLC30A10', 'bio/hg38_SLC30A10', 'bio/hg19_C10orf76', 'bio/hg19_WDR45', 'bio/hg38_WDR45', 'bio/hg19_PNPLA2', 'bio/hg38_PNPLA2', 'bio/hg19_RB1', 'bio/hg38_RB1', 'bio/hg19_DUOX1', 'bio/hg38_DUOX1', 'bio/hg19_KCNK16', 'bio/hg38_KCNK16', 'bio/hg19_CHD7', 'bio/hg38_CHD7', 'bio/hg19_GPR35', 'bio/hg38_GPR35', 'bio/hg19_CYP4F3', 'bio/hg38_CYP4F3', 'bio/hg19_STAU1', 'bio/hg38_STAU1', 'bio/hg19_MRPL19', 'bio/hg38_MRPL19', 'bio/hg19_OR51F2', 'bio/hg38_OR51F2', 'bio/hg19_SEPT9', 'bio/hg38_SEPT9', 'bio/hg19_EDEM1', 'bio/hg38_EDEM1', 'bio/hg19_PTPRK', 'bio/hg38_PTPRK', 'bio/hg19_NAAA', 'bio/hg38_NAAA', 'bio/hg19_ITLN1', 'bio/hg38_ITLN1', 'bio/hg19_KPNA1', 'bio/hg38_KPNA1', 'bio/hg19_AMT', 'bio/hg38_AMT', 'bio/hg19_MB', 'bio/hg38_MB', 'bio/hg19_LUM', 'bio/hg38_LUM', 'bio/hg19_GLUL', 'bio/hg38_GLUL', 'bio/hg19_JAK2', 'bio/hg38_JAK2', 'bio/hg19_PODXL', 'bio/hg38_PODXL', 'bio/hg19_SMARCA4', 'bio/hg38_SMARCA4', 'bio/hg19_CREB3L4', 'bio/hg38_CREB3L4', 'bio/hg19_CREB3', 'bio/hg38_CREB3', 'bio/hg19_WRNIP1', 'bio/hg38_WRNIP1', 'bio/hg19_NFKBIB', 'bio/hg38_NFKBIB', 'bio/hg19_PDCD1', 'bio/hg38_PDCD1', 'bio/hg19_GPR65', 'bio/hg38_GPR65', 'bio/hg19_RPLP0', 'bio/hg38_RPLP0', 'bio/hg19_MAPKAPK5', 'bio/hg38_MAPKAPK5', 'bio/hg19_KIAA1467', 'bio/hg19_TRPV2', 'bio/hg38_TRPV2', 'bio/hg19_SETD7', 'bio/hg38_SETD7', 'bio/hg19_TRIM10', 'bio/hg38_TRIM10', 'bio/hg19_ATG4B', 'bio/hg38_ATG4B', 'bio/hg19_CREB1', 'bio/hg38_CREB1', 'bio/hg19_NRG4', 'bio/hg38_NRG4', 'bio/hg19_CXCR3', 'bio/hg38_CXCR3', 'bio/hg19_TGFBR2', 'bio/hg38_TGFBR2', 'bio/hg19_TFF1', 'bio/hg38_TFF1', 'bio/hg19_AUTS2', 'bio/hg38_AUTS2', 'bio/hg19_TPM1', 'bio/hg38_TPM1', 'bio/hg19_KLRK1', 'bio/hg38_KLRK1', 'bio/hg19_IL12B', 'bio/hg38_IL12B', 'bio/hg19_LTA4H', 'bio/hg38_LTA4H', 'bio/hg19_SLC39A14', 'bio/hg38_SLC39A14', 'bio/hg19_CYP27A1', 'bio/hg38_CYP27A1', 'bio/hg19_SPINK5', 'bio/hg38_SPINK5', 'bio/hg19_SLK', 'bio/hg38_SLK', 'bio/hg19_DHX9', 'bio/hg38_DHX9', 'bio/hg19_NOTCH4', 'bio/hg38_NOTCH4', 'bio/hg19_ADORA2A', 'bio/hg38_ADORA2A', 'bio/hg19_TNFRSF4', 'bio/hg38_TNFRSF4', 'bio/hg19_FGFR2', 'bio/hg38_FGFR2', 'bio/hg19_ADCY5', 'bio/hg38_ADCY5', 'bio/hg19_PDHX', 'bio/hg38_PDHX', 'bio/hg19_PLAU', 'bio/hg38_PLAU', 'bio/hg19_CCL3L3', 'bio/hg38_CCL3L3', 'bio/hg19_TIMP2', 'bio/hg38_TIMP2', 'bio/hg19_CLEC5A', 'bio/hg38_CLEC5A', 'bio/hg19_FGF2', 'bio/hg38_FGF2', 'bio/hg19_SLAIN2', 'bio/hg38_SLAIN2', 'bio/hg19_NGFR', 'bio/hg38_NGFR', 'bio/hg19_RPS6KB1', 'bio/hg38_RPS6KB1', 'bio/hg19_TNFSF15', 'bio/hg38_TNFSF15', 'bio/hg19_NOXA1', 'bio/hg38_NOXA1', 'bio/hg19_DUSP12', 'bio/hg38_DUSP12', 'bio/hg19_HTT', 'bio/hg38_HTT', 'bio/hg19_UGT1A8', 'bio/hg38_UGT1A8', 'bio/hg19_BSN', 'bio/hg38_BSN', 'bio/hg19_S100A9', 'bio/hg38_S100A9', 'bio/hg19_GPR68', 'bio/hg38_GPR68', 'bio/hg19_CD4', 'bio/hg38_CD4', 'bio/hg19_KDR', 'bio/hg38_KDR', 'bio/hg19_PIP4K2C', 'bio/hg38_PIP4K2C', 'bio/hg19_BDH1', 'bio/hg38_BDH1', 'bio/hg19_NUDT3', 'bio/hg38_NUDT3', 'bio/hg19_TNFRSF10D', 'bio/hg38_TNFRSF10D', 'bio/hg19_PHACTR1', 'bio/hg38_PHACTR1', 'bio/hg19_LPA', 'bio/hg38_LPA', 'bio/hg19_IL31', 'bio/hg38_IL31', 'bio/hg19_ACKR1', 'bio/hg38_ACKR1', 'bio/hg19_IDH1', 'bio/hg38_IDH1', 'bio/hg19_HNF1B', 'bio/hg38_HNF1B', 'bio/hg19_VCAM1', 'bio/hg38_VCAM1', 'bio/hg19_TCF7L2', 'bio/hg38_TCF7L2', 'bio/hg19_RPS13', 'bio/hg38_RPS13', 'bio/hg19_TES', 'bio/hg38_TES', 'bio/hg19_TNFSF4', 'bio/hg38_TNFSF4', 'bio/hg19_PROCR', 'bio/hg38_PROCR', 'bio/hg19_AGTR1', 'bio/hg38_AGTR1', 'bio/hg19_NFE2', 'bio/hg38_NFE2', 'bio/hg19_TNPO3', 'bio/hg38_TNPO3', 'bio/hg19_CTSA', 'bio/hg38_CTSA', 'bio/hg19_BRCA1', 'bio/hg38_BRCA1', 'bio/hg19_DUOX2', 'bio/hg38_DUOX2', 'bio/hg19_NKX2-3', 'bio/hg38_NKX2-3', 'bio/hg19_DNMT3A', 'bio/hg38_DNMT3A', 'bio/hg19_SGTA', 'bio/hg38_SGTA', 'bio/hg19_TMEM174', 'bio/hg38_TMEM174', 'bio/hg19_IRF6', 'bio/hg38_IRF6', 'bio/hg19_DAPK1', 'bio/hg38_DAPK1', 'bio/hg19_LPCAT3', 'bio/hg38_LPCAT3', 'bio/hg19_BIN3', 'bio/hg38_BIN3', 'bio/hg19_CYP19A1', 'bio/hg38_CYP19A1', 'bio/hg19_ITGA6', 'bio/hg38_ITGA6', 'bio/hg19_TM9SF4', 'bio/hg38_TM9SF4', 'bio/hg19_NBR1', 'bio/hg38_NBR1', 'bio/hg19_BMI1', 'bio/hg38_BMI1', 'bio/hg19_KLF6', 'bio/hg38_KLF6', 'bio/hg19_EEA1', 'bio/hg38_EEA1', 'bio/hg19_FZD1', 'bio/hg38_FZD1', 'bio/hg19_IL1R1', 'bio/hg38_IL1R1', 'bio/hg19_C10orf90', 'bio/hg38_C10orf90', 'bio/hg19_IL12B', 'bio/hg38_IL12B', 'bio/hg19_HGS', 'bio/hg38_HGS', 'bio/hg19_KLHL6', 'bio/hg38_KLHL6', 'bio/hg19_TNFRSF11B', 'bio/hg38_TNFRSF11B', 'bio/hg19_MALT1', 'bio/hg38_MALT1', 'bio/hg19_PTPN2', 'bio/hg38_PTPN2', 'bio/hg19_SLC38A4', 'bio/hg38_SLC38A4', 'bio/hg19_ACAP1', 'bio/hg38_ACAP1', 'bio/hg19_SLC25A16', 'bio/hg38_SLC25A16', 'bio/hg19_CORO1A', 'bio/hg38_CORO1A', 'bio/hg19_BAZ2A', 'bio/hg38_BAZ2A', 'bio/hg19_SIRT2', 'bio/hg38_SIRT2', 'bio/hg19_OTUD3', 'bio/hg38_OTUD3', 'bio/hg19_IRF7', 'bio/hg38_IRF7', 'bio/hg19_MYH10', 'bio/hg38_MYH10', 'bio/hg19_IGF1R', 'bio/hg38_IGF1R', 'bio/hg19_MPZL3', 'bio/hg38_MPZL3', 'bio/hg19_DPPA3', 'bio/hg38_DPPA3', 'bio/hg19_USP2', 'bio/hg38_USP2', 'bio/hg19_OPRD1', 'bio/hg38_OPRD1', 'bio/hg19_CARD6', 'bio/hg38_CARD6', 'bio/hg19_ZPBP2', 'bio/hg38_ZPBP2', 'bio/hg19_BCL2L10', 'bio/hg38_BCL2L10', 'bio/hg19_MAP3K8', 'bio/hg38_MAP3K8', 'bio/hg19_CCL7', 'bio/hg38_CCL7', 'bio/hg19_MED28', 'bio/hg38_MED28', 'bio/hg19_TXNRD1', 'bio/hg38_TXNRD1', 'bio/hg19_OPRM1', 'bio/hg38_OPRM1', 'bio/hg19_EDN1', 'bio/hg38_EDN1', 'bio/hg19_CUL3', 'bio/hg38_CUL3', 'bio/hg19_ARNTL', 'bio/hg38_ARNTL', 'bio/hg19_ADCY3', 'bio/hg38_ADCY3', 'bio/hg19_BNIP3', 'bio/hg38_BNIP3', 'bio/hg19_HORMAD2', 'bio/hg38_HORMAD2', 'bio/hg19_PPBP', 'bio/hg38_PPBP', 'bio/hg19_CEP72', 'bio/hg38_CEP72', 'bio/hg19_CXCL12', 'bio/hg38_CXCL12', 'bio/hg19_NPBWR1', 'bio/hg38_NPBWR1', 'bio/hg19_PMAIP1', 'bio/hg38_PMAIP1', 'bio/hg19_HDGF', 'bio/hg38_HDGF', 'bio/hg19_STX17', 'bio/hg38_STX17', 'bio/hg19_NFIL3', 'bio/hg38_NFIL3', 'bio/hg19_IFNAR2', 'bio/hg38_IFNAR2', 'bio/hg19_DLAT', 'bio/hg38_DLAT', 'bio/hg19_CFB', 'bio/hg38_CFB', 'bio/hg19_STX8', 'bio/hg38_STX8', 'bio/hg19_HPGDS', 'bio/hg38_HPGDS', 'bio/hg19_SEMA3F', 'bio/hg38_SEMA3F', 'bio/hg19_PTGER2', 'bio/hg38_PTGER2', 'bio/hg19_MYOCD', 'bio/hg38_MYOCD', 'bio/hg19_CD163', 'bio/hg38_CD163', 'bio/hg19_REG1B', 'bio/hg38_REG1B', 'bio/hg19_ASPA', 'bio/hg38_ASPA', 'bio/hg19_UGDH', 'bio/hg38_UGDH', 'bio/hg19_CTSC', 'bio/hg38_CTSC', 'bio/hg19_ITIH2', 'bio/hg38_ITIH2', 'bio/hg19_FIBP', 'bio/hg38_FIBP', 'bio/hg19_PNLIP', 'bio/hg38_PNLIP', 'bio/hg19_PSMG1', 'bio/hg38_PSMG1', 'bio/hg19_CPXM1', 'bio/hg38_CPXM1', 'bio/hg19_GPA33', 'bio/hg38_GPA33', 'bio/hg19_MARCH1', 'bio/hg38_MARCH1', 'bio/hg19_LYVE1', 'bio/hg38_LYVE1', 'bio/hg19_NFYA', 'bio/hg38_NFYA', 'bio/hg19_THEMIS', 'bio/hg38_THEMIS', 'bio/hg19_TMBIM6', 'bio/hg38_TMBIM6', 'bio/hg19_IRF2BP1', 'bio/hg38_IRF2BP1', 'bio/hg19_GRB2', 'bio/hg38_GRB2', 'bio/hg19_FPR1', 'bio/hg38_FPR1', 'bio/hg19_SLTM', 'bio/hg38_SLTM', 'bio/hg19_GGTLC3', 'bio/hg38_GGTLC3', 'bio/hg19_LITAF', 'bio/hg38_LITAF', 'bio/hg19_RNF114', 'bio/hg38_RNF114', 'bio/hg19_IL23R', 'bio/hg38_IL23R', 'bio/hg19_ADAMTS7', 'bio/hg38_ADAMTS7', 'bio/hg19_MASP2', 'bio/hg38_MASP2', 'bio/hg19_RAB40AL', 'bio/hg38_RAB40AL', 'bio/hg19_TAOK3', 'bio/hg38_TAOK3', 'bio/hg19_CCL20', 'bio/hg38_CCL20', 'bio/hg19_AREG', 'bio/hg38_AREG', 'bio/hg19_GIMAP5', 'bio/hg38_GIMAP5', 'bio/hg19_MGLL', 'bio/hg38_MGLL', 'bio/hg19_NOD2', 'bio/hg38_NOD2', 'bio/hg19_IRX5', 'bio/hg38_IRX5', 'bio/hg19_PEPD', 'bio/hg38_PEPD', 'bio/hg19_GBP7', 'bio/hg38_GBP7', 'bio/hg19_USP18', 'bio/hg38_USP18', 'bio/hg19_NOS1AP', 'bio/hg38_NOS1AP', 'bio/hg19_MAP2K5', 'bio/hg38_MAP2K5', 'bio/hg19_COG2', 'bio/hg38_COG2', 'bio/hg19_ADAMTS4', 'bio/hg38_ADAMTS4', 'bio/hg19_XPNPEP1', 'bio/hg38_XPNPEP1', 'bio/hg19_NRIP1', 'bio/hg38_NRIP1', 'bio/hg19_LILRB3', 'bio/hg38_LILRB3', 'bio/hg19_SCD', 'bio/hg38_SCD', 'bio/hg19_APOBEC3G', 'bio/hg38_APOBEC3G', 'bio/hg19_PCSK5', 'bio/hg38_PCSK5', 'bio/hg19_CCND1', 'bio/hg38_CCND1', 'bio/hg19_NRBF2', 'bio/hg38_NRBF2', 'bio/hg19_HLA-DRB1', 'bio/hg38_HLA-DRB1', 'bio/hg19_CD300E', 'bio/hg38_CD300E', 'bio/hg19_MMP13', 'bio/hg38_MMP13', 'bio/hg19_HAVCR2', 'bio/hg38_HAVCR2', 'bio/hg19_CXCL3', 'bio/hg38_CXCL3', 'bio/hg19_IFIT3', 'bio/hg38_IFIT3', 'bio/hg19_SNRNP70', 'bio/hg38_SNRNP70', 'bio/hg19_ATF6', 'bio/hg38_ATF6', 'bio/hg19_PLEKHH1', 'bio/hg38_PLEKHH1', 'bio/hg19_HTR1A', 'bio/hg38_HTR1A', 'bio/hg19_TTC7A', 'bio/hg38_TTC7A', 'bio/hg19_MREG', 'bio/hg38_MREG', 'bio/hg19_ST3GAL4', 'bio/hg38_ST3GAL4', 'bio/hg19_CD247', 'bio/hg38_CD247', 'bio/hg19_SLC10A4', 'bio/hg38_SLC10A4', 'bio/hg19_SCTR', 'bio/hg38_SCTR', 'bio/hg19_TNFSF15', 'bio/hg38_TNFSF15', 'bio/hg19_PSTPIP1', 'bio/hg38_PSTPIP1', 'bio/hg19_ANG', 'bio/hg38_ANG', 'bio/hg19_AQP11', 'bio/hg38_AQP11', 'bio/hg19_DEFB124', 'bio/hg38_DEFB124', 'bio/hg19_LGR5', 'bio/hg38_LGR5', 'bio/hg19_RNF138', 'bio/hg38_RNF138', 'bio/hg19_S1PR5', 'bio/hg38_S1PR5', 'bio/hg19_SLAMF1', 'bio/hg38_SLAMF1', 'bio/hg19_SULF1', 'bio/hg38_SULF1', 'bio/hg19_BMP7', 'bio/hg38_BMP7', 'bio/hg19_CDK6', 'bio/hg38_CDK6', 'bio/hg19_PECAM1', 'bio/hg38_PECAM1', 'bio/hg19_PGAP3', 'bio/hg38_PGAP3', 'bio/hg19_SP7', 'bio/hg38_SP7', 'bio/hg19_MST1R', 'bio/hg38_MST1R', 'bio/hg19_ADIPOR2', 'bio/hg38_ADIPOR2', 'bio/hg19_NCMAP', 'bio/hg38_NCMAP', 'bio/hg19_RNF31', 'bio/hg38_RNF31', 'bio/hg19_RHBDF2', 'bio/hg38_RHBDF2', 'bio/hg19_NLRX1', 'bio/hg38_NLRX1', 'bio/hg19_TXK', 'bio/hg38_TXK', 'bio/hg19_LIF', 'bio/hg38_LIF', 'bio/hg19_VAMP8', 'bio/hg38_VAMP8', 'bio/hg19_C1S', 'bio/hg38_C1S', 'bio/hg19_NKD1', 'bio/hg38_NKD1', 'bio/hg19_IRAK4', 'bio/hg38_IRAK4', 'bio/hg19_RAB2A', 'bio/hg38_RAB2A', 'bio/hg19_RORC', 'bio/hg38_RORC', 'bio/hg19_IER3IP1', 'bio/hg38_IER3IP1', 'bio/hg19_SELP', 'bio/hg38_SELP', 'bio/hg19_P2RX5', 'bio/hg38_P2RX5', 'bio/hg19_CA13', 'bio/hg38_CA13', 'bio/hg19_CCNY', 'bio/hg38_CCNY', 'bio/hg19_C3', 'bio/hg38_C3', 'bio/hg19_PREP', 'bio/hg38_PREP', 'bio/hg19_NFATC3', 'bio/hg38_NFATC3', 'bio/hg19_ABL1', 'bio/hg38_ABL1', 'bio/hg19_CLDN5', 'bio/hg38_CLDN5', 'bio/hg19_ORM1', 'bio/hg38_ORM1', 'bio/hg19_VCL', 'bio/hg38_VCL', 'bio/hg19_ST5', 'bio/hg38_ST5', 'bio/hg19_SLC36A4', 'bio/hg38_SLC36A4', 'bio/hg19_BPI', 'bio/hg38_BPI', 'bio/hg19_C5orf56', 'bio/hg38_C5orf56', 'bio/hg19_ENO3', 'bio/hg38_ENO3', 'bio/hg19_LGALS7', 'bio/hg38_LGALS7', 'bio/hg19_PPT1', 'bio/hg38_PPT1', 'bio/hg19_TRAF3IP2', 'bio/hg38_TRAF3IP2', 'bio/hg19_CX3CR1', 'bio/hg38_CX3CR1', 'bio/hg19_DRD5', 'bio/hg38_DRD5', 'bio/hg19_LRIG1', 'bio/hg38_LRIG1', 'bio/hg19_CARD8', 'bio/hg38_CARD8', 'bio/hg19_PAX5', 'bio/hg38_PAX5', 'bio/hg19_SDHB', 'bio/hg38_SDHB', 'bio/hg19_NPSR1', 'bio/hg38_NPSR1', 'bio/hg19_SLC30A8', 'bio/hg38_SLC30A8', 'bio/hg19_STC1', 'bio/hg38_STC1', 'bio/hg19_LMX1B', 'bio/hg38_LMX1B', 'bio/hg19_LILRB2', 'bio/hg38_LILRB2', 'bio/hg19_SLC1A7', 'bio/hg38_SLC1A7', 'bio/hg19_ZG16', 'bio/hg38_ZG16', 'bio/hg19_TAPBP', 'bio/hg38_TAPBP', 'bio/hg19_MIB2', 'bio/hg38_MIB2', 'bio/hg19_HMBS', 'bio/hg38_HMBS', 'bio/hg19_SIRT3', 'bio/hg38_SIRT3', 'bio/hg19_PRUNE', 'bio/hg19_SLC22A5', 'bio/hg38_SLC22A5', 'bio/hg19_TNFSF13B', 'bio/hg38_TNFSF13B', 'bio/hg19_C1orf106', 'bio/hg19_AZGP1', 'bio/hg38_AZGP1', 'bio/hg19_MSH2', 'bio/hg38_MSH2', 'bio/hg19_PPM1G', 'bio/hg38_PPM1G', 'bio/hg19_KLRD1', 'bio/hg38_KLRD1', 'bio/hg19_LALBA', 'bio/hg38_LALBA', 'bio/hg19_GAST', 'bio/hg38_GAST', 'bio/hg19_MSH3', 'bio/hg38_MSH3', 'bio/hg19_AVP', 'bio/hg38_AVP', 'bio/hg19_PHOX2B', 'bio/hg38_PHOX2B', 'bio/hg19_MDM2', 'bio/hg38_MDM2', 'bio/hg19_SGSH', 'bio/hg38_SGSH', 'bio/hg19_MGMT', 'bio/hg38_MGMT', 'bio/hg19_RARA', 'bio/hg38_RARA', 'bio/hg19_XKR6', 'bio/hg38_XKR6', 'bio/hg19_TF', 'bio/hg38_TF', 'bio/hg19_CD46', 'bio/hg38_CD46', 'bio/hg19_SIK2', 'bio/hg38_SIK2', 'bio/hg19_APOH', 'bio/hg38_APOH', 'bio/hg19_CALR', 'bio/hg38_CALR', 'bio/hg19_RPS6KA2', 'bio/hg38_RPS6KA2', 'bio/hg19_HLA-B', 'bio/hg38_HLA-B', 'bio/hg19_NOTCH4', 'bio/hg38_NOTCH4', 'bio/hg19_ST6GAL1', 'bio/hg38_ST6GAL1', 'bio/hg19_USP7', 'bio/hg38_USP7', 'bio/hg19_RNF125', 'bio/hg38_RNF125', 'bio/hg19_AGR2', 'bio/hg38_AGR2', 'bio/hg19_MRAP', 'bio/hg38_MRAP', 'bio/hg19_CASP6', 'bio/hg38_CASP6', 'bio/hg19_BANF1', 'bio/hg38_BANF1', 'bio/hg19_FERMT1', 'bio/hg38_FERMT1', 'bio/hg19_GOPC', 'bio/hg38_GOPC', 'bio/hg19_HGF', 'bio/hg38_HGF', 'bio/hg19_FAM107B', 'bio/hg38_FAM107B', 'bio/hg19_CASP5', 'bio/hg38_CASP5', 'bio/hg19_GRASP', 'bio/hg38_GRASP', 'bio/hg19_LAG3', 'bio/hg38_LAG3', 'bio/hg19_RAN', 'bio/hg38_RAN', 'bio/hg19_KRTAP1-3', 'bio/hg38_KRTAP1-3', 'bio/hg19_ALDH7A1', 'bio/hg38_ALDH7A1', 'bio/hg19_P2RX4', 'bio/hg38_P2RX4', 'bio/hg19_ZNF683', 'bio/hg38_ZNF683', 'bio/hg19_STEAP2-AS1', 'bio/hg38_STEAP2-AS1', 'bio/hg19_BLOC1S3', 'bio/hg38_BLOC1S3', 'bio/hg19_SOD1', 'bio/hg38_SOD1', 'bio/hg19_WNT2', 'bio/hg38_WNT2', 'bio/hg19_EHMT2', 'bio/hg38_EHMT2', 'bio/hg19_ANO6', 'bio/hg38_ANO6', 'bio/hg19_PTGER1', 'bio/hg38_PTGER1', 'bio/hg19_ULBP1', 'bio/hg38_ULBP1', 'bio/hg19_MAPK9', 'bio/hg38_MAPK9', 'bio/hg19_CD72', 'bio/hg38_CD72', 'bio/hg19_EHD4', 'bio/hg38_EHD4', 'bio/hg19_GBGT1', 'bio/hg38_GBGT1', 'bio/hg19_USP8', 'bio/hg38_USP8', 'bio/hg19_SP140', 'bio/hg38_SP140', 'bio/hg19_FCRL3', 'bio/hg38_FCRL3', 'bio/hg19_TRPC4', 'bio/hg38_TRPC4', 'bio/hg19_RAG1', 'bio/hg38_RAG1', 'bio/hg19_CD200', 'bio/hg38_CD200', 'bio/hg19_BTNL9', 'bio/hg38_BTNL9', 'bio/hg19_ALOX15B', 'bio/hg38_ALOX15B', 'bio/hg19_IGF2', 'bio/hg38_IGF2', 'bio/hg19_ALAD', 'bio/hg38_ALAD', 'bio/hg19_ADAMTS12', 'bio/hg38_ADAMTS12', 'bio/hg19_RNF43', 'bio/hg38_RNF43', 'bio/hg19_PARP1', 'bio/hg38_PARP1', 'bio/hg19_RNH1', 'bio/hg38_RNH1', 'bio/hg19_DNAJC17', 'bio/hg38_DNAJC17', 'bio/hg19_SULF2', 'bio/hg38_SULF2', 'bio/hg19_ABCG5', 'bio/hg38_ABCG5', 'bio/hg19_CD2', 'bio/hg38_CD2', 'bio/hg19_IL22RA2', 'bio/hg38_IL22RA2', 'bio/hg19_LSR', 'bio/hg38_LSR', 'bio/hg19_NR1H2', 'bio/hg38_NR1H2', 'bio/hg19_UMOD', 'bio/hg38_UMOD', 'bio/hg19_PIPOX', 'bio/hg38_PIPOX', 'bio/hg19_PITX1', 'bio/hg38_PITX1', 'bio/hg19_OTUB1', 'bio/hg38_OTUB1', 'bio/hg19_MSN', 'bio/hg38_MSN', 'bio/hg19_TMEM17', 'bio/hg38_TMEM17', 'bio/hg19_TEK', 'bio/hg38_TEK', 'bio/hg19_SLC9A3R1', 'bio/hg38_SLC9A3R1', 'bio/hg19_EBF1', 'bio/hg38_EBF1', 'bio/hg19_UNC93B1', 'bio/hg38_UNC93B1', 'bio/hg19_HDAC1', 'bio/hg38_HDAC1', 'bio/hg19_AQP10', 'bio/hg38_AQP10', 'bio/hg19_DNAJB9', 'bio/hg38_DNAJB9', 'bio/hg19_NEUROG3', 'bio/hg38_NEUROG3', 'bio/hg19_DHCR7', 'bio/hg38_DHCR7', 'bio/hg19_CXCL2', 'bio/hg38_CXCL2', 'bio/hg19_PER3', 'bio/hg38_PER3', 'bio/hg19_PLEK', 'bio/hg38_PLEK', 'bio/hg19_AFF3', 'bio/hg38_AFF3', 'bio/hg19_PRKG1', 'bio/hg38_PRKG1', 'bio/hg19_ACKR2', 'bio/hg38_ACKR2', 'bio/hg19_SGPL1', 'bio/hg38_SGPL1', 'bio/hg19_GMPS', 'bio/hg38_GMPS', 'bio/hg19_MOCOS', 'bio/hg38_MOCOS', 'bio/hg19_CSNK2B', 'bio/hg38_CSNK2B', 'bio/hg19_ID1', 'bio/hg38_ID1', 'bio/hg19_SPINK1', 'bio/hg38_SPINK1', 'bio/hg19_PRDX1', 'bio/hg38_PRDX1', 'bio/hg19_ENTPD3', 'bio/hg38_ENTPD3', 'bio/hg19_CPAMD8', 'bio/hg38_CPAMD8', 'bio/hg19_H2AFX', 'bio/hg38_H2AFX', 'bio/hg19_CDA', 'bio/hg38_CDA', 'bio/hg19_C1GALT1C1', 'bio/hg38_C1GALT1C1']\n", - "7993\n", - "associated hg38 genes: ['bio/hg38_OSMR', 'bio/hg38_CGNL1', 'bio/hg38_NR3C1', 'bio/hg38_ISG15', 'bio/hg38_IL36A', 'bio/hg38_SIRT1', 'bio/hg38_MXD4', 'bio/hg38_PLD4', 'bio/hg38_CD177', 'bio/hg38_PLG', 'bio/hg38_LGALS7B', 'bio/hg38_TMEM232', 'bio/hg38_MLKL', 'bio/hg38_UBE2I', 'bio/hg38_GPR132', 'bio/hg38_ATXN2', 'bio/hg38_COMP', 'bio/hg38_EGFR', 'bio/hg38_SUCNR1', 'bio/hg38_CD6', 'bio/hg38_LAT', 'bio/hg38_ASPRV1', 'bio/hg38_GNA11', 'bio/hg38_IL18RAP', 'bio/hg38_RGS14', 'bio/hg38_IFIT1', 'bio/hg38_OGFR', 'bio/hg38_SORCS2', 'bio/hg38_CSF2RB', 'bio/hg38_MAP3K11', 'bio/hg38_ITGA2', 'bio/hg38_JARID2', 'bio/hg38_TTC37', 'bio/hg38_CAPN14', 'bio/hg38_CYR61', 'bio/hg38_UBAC2', 'bio/hg38_RHCE', 'bio/hg38_ADRB2', 'bio/hg38_PIGR', 'bio/hg38_TCF7', 'bio/hg38_TRIAP1', 'bio/hg38_SLC2A4', 'bio/hg38_TRAIP', 'bio/hg38_VAMP7', 'bio/hg38_CD6', 'bio/hg38_HECA', 'bio/hg38_MLST8', 'bio/hg38_RNASE6', 'bio/hg38_FOXO1', 'bio/hg38_SH2D1A', 'bio/hg38_TTK', 'bio/hg38_PRKAA1', 'bio/hg38_DIABLO', 'bio/hg38_NTSR1', 'bio/hg38_EOMES', 'bio/hg38_SERPINA5', 'bio/hg38_KCNA3', 'bio/hg38_NLRP10', 'bio/hg38_POLB', 'bio/hg38_C4BPA', 'bio/hg38_NFKB2', 'bio/hg38_HNRNPD', 'bio/hg38_CARD18', 'bio/hg38_TNFRSF25', 'bio/hg38_FZD5', 'bio/hg38_SRGN', 'bio/hg38_RAB3D', 'bio/hg38_SST', 'bio/hg38_FNDC5', 'bio/hg38_BDKRB2', 'bio/hg38_CDC42', 'bio/hg38_BLK', 'bio/hg38_ACKR3', 'bio/hg38_IL18R1', 'bio/hg38_CXCL8', 'bio/hg38_DOK2', 'bio/hg38_THNSL1', 'bio/hg38_SEMA3C', 'bio/hg38_DCX', 'bio/hg38_IL20RA', 'bio/hg38_ADAR', 'bio/hg38_PMS1', 'bio/hg38_PLXNB2', 'bio/hg38_SLC26A3', 'bio/hg38_HHIP', 'bio/hg38_PDZK1', 'bio/hg38_TNFRSF17', 'bio/hg38_XBP1', 'bio/hg38_COBL', 'bio/hg38_PSMA7', 'bio/hg38_IL1RAP', 'bio/hg38_TTR', 'bio/hg38_C1GALT1', 'bio/hg38_CDKN2A', 'bio/hg38_ELOVL5', 'bio/hg38_PHTF1', 'bio/hg38_JAKMIP1', 'bio/hg38_ADSL', 'bio/hg38_SLC39A8', 'bio/hg38_CXCR1', 'bio/hg38_LOR', 'bio/hg38_GRIN2A', 'bio/hg38_KLK3', 'bio/hg38_ADK', 'bio/hg38_MYB', 'bio/hg38_DCXR', 'bio/hg38_IL34', 'bio/hg38_APOL1', 'bio/hg38_MYO5B', 'bio/hg38_ARSH', 'bio/hg38_MS4A2', 'bio/hg38_SOCS1', 'bio/hg38_DLG4', 'bio/hg38_TBC1D23', 'bio/hg38_KRT19', 'bio/hg38_GSDMC', 'bio/hg38_VIP', 'bio/hg38_GPR65', 'bio/hg38_FERMT2', 'bio/hg38_SLC25A20', 'bio/hg38_RIT1', 'bio/hg38_PTGES', 'bio/hg38_ZSCAN2', 'bio/hg38_SIGIRR', 'bio/hg38_GAS6', 'bio/hg38_CALCA', 'bio/hg38_HIST2H2AA3', 'bio/hg38_STAT5B', 'bio/hg38_RAET1L', 'bio/hg38_FIS1', 'bio/hg38_TNFRSF21', 'bio/hg38_TIGD1', 'bio/hg38_CA3', 'bio/hg38_FCGR2A', 'bio/hg38_HIST1H4I', 'bio/hg38_MMP19', 'bio/hg38_ITGB8', 'bio/hg38_SEPSECS', 'bio/hg38_CDKAL1', 'bio/hg38_AXIN1', 'bio/hg38_PIAS1', 'bio/hg38_POTEF', 'bio/hg38_TRIM31', 'bio/hg38_FAS', 'bio/hg38_LEAP2', 'bio/hg38_NCF2', 'bio/hg38_EEF1A1', 'bio/hg38_PNKD', 'bio/hg38_NTS', 'bio/hg38_IFI6', 'bio/hg38_DHFR', 'bio/hg38_NEGR1', 'bio/hg38_UPK1A', 'bio/hg38_IFNL2', 'bio/hg38_CUX2', 'bio/hg38_SMAD9', 'bio/hg38_PIK3R4', 'bio/hg38_S100A4', 'bio/hg38_LAP3', 'bio/hg38_S100A6', 'bio/hg38_DIO2', 'bio/hg38_NLRP4', 'bio/hg38_GPBAR1', 'bio/hg38_SELL', 'bio/hg38_LRP5', 'bio/hg38_RAB27A', 'bio/hg38_MAP3K1', 'bio/hg38_SYNGR1', 'bio/hg38_PTGR2', 'bio/hg38_CYP3A5', 'bio/hg38_TIRAP', 'bio/hg38_TGM5', 'bio/hg38_IGHV4-38-2', 'bio/hg38_GHR', 'bio/hg38_EPRS', 'bio/hg38_BCL2A1', 'bio/hg38_TLR1', 'bio/hg38_CD40', 'bio/hg38_DLL4', 'bio/hg38_TLR4', 'bio/hg38_MAP2K7', 'bio/hg38_GAD2', 'bio/hg38_GCDH', 'bio/hg38_HFE', 'bio/hg38_APOB', 'bio/hg38_MYOD1', 'bio/hg38_TYMP', 'bio/hg38_BCAR1', 'bio/hg38_MAP1LC3B', 'bio/hg38_FLNC', 'bio/hg38_USP17L4', 'bio/hg38_ARF6', 'bio/hg38_FZD2', 'bio/hg38_PRSS8', 'bio/hg38_ABCA12', 'bio/hg38_ALPL', 'bio/hg38_DHODH', 'bio/hg38_GZMM', 'bio/hg38_HCP5', 'bio/hg38_IQCB1', 'bio/hg38_PUS10', 'bio/hg38_SLC22A23', 'bio/hg38_ZBTB7B', 'bio/hg38_NCF4', 'bio/hg38_IL17RD', 'bio/hg38_RAB5A', 'bio/hg38_RICTOR', 'bio/hg38_IL17RA', 'bio/hg38_IL6ST', 'bio/hg38_REL', 'bio/hg38_SEMA6D', 'bio/hg38_KITLG', 'bio/hg38_MUC12', 'bio/hg38_UBAC2', 'bio/hg38_HNF4A', 'bio/hg38_PROM1', 'bio/hg38_HSPA1L', 'bio/hg38_KIR2DL3', 'bio/hg38_CCL27', 'bio/hg38_PTGIS', 'bio/hg38_GSN', 'bio/hg38_APOA5', 'bio/hg38_CLN3', 'bio/hg38_GNAS', 'bio/hg38_RSPO1', 'bio/hg38_TALDO1', 'bio/hg38_TNFAIP3', 'bio/hg38_RAB10', 'bio/hg38_DRD1', 'bio/hg38_S100G', 'bio/hg38_ITGAL', 'bio/hg38_ESR1', 'bio/hg38_YDJC', 'bio/hg38_CCDC174', 'bio/hg38_APCS', 'bio/hg38_PSMB10', 'bio/hg38_MMP14', 'bio/hg38_F5', 'bio/hg38_ANXA8', 'bio/hg38_UBE2E2', 'bio/hg38_ARSD', 'bio/hg38_KLRF1', 'bio/hg38_LRRK1', 'bio/hg38_SLCO6A1', 'bio/hg38_EHBP1L1', 'bio/hg38_FERMT3', 'bio/hg38_OR6J1', 'bio/hg38_TRAF1', 'bio/hg38_SLCO2B1', 'bio/hg38_DPP9', 'bio/hg38_ERAS', 'bio/hg38_CALU', 'bio/hg38_HDAC6', 'bio/hg38_CX3CL1', 'bio/hg38_SERPINB2', 'bio/hg38_TYK2', 'bio/hg38_HSPA1A', 'bio/hg38_AHSG', 'bio/hg38_SNORA75', 'bio/hg38_TNFRSF10A', 'bio/hg38_RELB', 'bio/hg38_TXNDC9', 'bio/hg38_NF1', 'bio/hg38_TNFRSF13C', 'bio/hg38_ITIH4', 'bio/hg38_ADGB', 'bio/hg38_SOX9', 'bio/hg38_VNN1', 'bio/hg38_SMAD4', 'bio/hg38_C22orf34', 'bio/hg38_ALB', 'bio/hg38_LILRA4', 'bio/hg38_ACLY', 'bio/hg38_CRTC3', 'bio/hg38_PROK2', 'bio/hg38_MT1X', 'bio/hg38_ZXDC', 'bio/hg38_GPX7', 'bio/hg38_PIWIL4', 'bio/hg38_NR1H4', 'bio/hg38_TRIM33', 'bio/hg38_APAF1', 'bio/hg38_AOC3', 'bio/hg38_GCKR', 'bio/hg38_P2RX1', 'bio/hg38_BDKRB1', 'bio/hg38_SEPT4', 'bio/hg38_S100A12', 'bio/hg38_NRAS', 'bio/hg38_FAM156B', 'bio/hg38_KIR2DL4', 'bio/hg38_IPMK', 'bio/hg38_JUN', 'bio/hg38_SHROOM2', 'bio/hg38_WNT1', 'bio/hg38_IFNA21', 'bio/hg38_SH3GLB1', 'bio/hg38_ITGB7', 'bio/hg38_PTX3', 'bio/hg38_TCOF1', 'bio/hg38_CSF2RA', 'bio/hg38_NEU2', 'bio/hg38_PSMB9', 'bio/hg38_DAP', 'bio/hg38_ICAM2', 'bio/hg38_TYROBP', 'bio/hg38_NXPE1', 'bio/hg38_SLC26A2', 'bio/hg38_RSPO3', 'bio/hg38_LINC01475', 'bio/hg38_ATG7', 'bio/hg38_LY96', 'bio/hg38_NR1I3', 'bio/hg38_SBNO2', 'bio/hg38_CLEC10A', 'bio/hg38_CUL5', 'bio/hg38_IFNGR2', 'bio/hg38_UBD', 'bio/hg38_MAP3K3', 'bio/hg38_PTGER4', 'bio/hg38_DNER', 'bio/hg38_GLP2R', 'bio/hg38_IRGM', 'bio/hg38_C2orf49', 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'bio/hg38_UGT1A1', 'bio/hg38_MRPS7', 'bio/hg38_MS4A4A', 'bio/hg38_SEMA3G', 'bio/hg38_GBP6', 'bio/hg38_TGM6', 'bio/hg38_KIR2DL1', 'bio/hg38_LAT2', 'bio/hg38_TOR1A', 'bio/hg38_PPP2R3C', 'bio/hg38_GSDMD', 'bio/hg38_BTNL2', 'bio/hg38_DCT', 'bio/hg38_HBEGF', 'bio/hg38_KLF5', 'bio/hg38_CEBPE', 'bio/hg38_SPN', 'bio/hg38_FUT4', 'bio/hg38_RHOB', 'bio/hg38_PCK1', 'bio/hg38_CXCL11', 'bio/hg38_TAB3', 'bio/hg38_SNAI2', 'bio/hg38_LANCL2', 'bio/hg38_HBA2', 'bio/hg38_MGP', 'bio/hg38_TMEM173', 'bio/hg38_GPX3', 'bio/hg38_NUP210', 'bio/hg38_ORMDL3', 'bio/hg38_SRI', 'bio/hg38_CASP7', 'bio/hg38_FGG', 'bio/hg38_CPEB4', 'bio/hg38_CD3G', 'bio/hg38_DSG1', 'bio/hg38_PERP', 'bio/hg38_GLG1', 'bio/hg38_TIMP3', 'bio/hg38_NPIPB8', 'bio/hg38_IFNAR1', 'bio/hg38_JAG1', 'bio/hg38_NES', 'bio/hg38_CA7', 'bio/hg38_GSTM1', 'bio/hg38_KLKB1', 'bio/hg38_PTGER3', 'bio/hg38_SPESP1', 'bio/hg38_CSMD1', 'bio/hg38_MZF1', 'bio/hg38_DSC1', 'bio/hg38_HIST1H4H', 'bio/hg38_PYDC1', 'bio/hg38_TNFRSF14', 'bio/hg38_TNFRSF6B', 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'bio/hg38_TIMP2', 'bio/hg38_CLEC5A', 'bio/hg38_FGF2', 'bio/hg38_SLAIN2', 'bio/hg38_NGFR', 'bio/hg38_RPS6KB1', 'bio/hg38_TNFSF15', 'bio/hg38_NOXA1', 'bio/hg38_DUSP12', 'bio/hg38_HTT', 'bio/hg38_UGT1A8', 'bio/hg38_BSN', 'bio/hg38_S100A9', 'bio/hg38_GPR68', 'bio/hg38_CD4', 'bio/hg38_KDR', 'bio/hg38_PIP4K2C', 'bio/hg38_BDH1', 'bio/hg38_NUDT3', 'bio/hg38_TNFRSF10D', 'bio/hg38_PHACTR1', 'bio/hg38_LPA', 'bio/hg38_IL31', 'bio/hg38_ACKR1', 'bio/hg38_IDH1', 'bio/hg38_HNF1B', 'bio/hg38_VCAM1', 'bio/hg38_TCF7L2', 'bio/hg38_RPS13', 'bio/hg38_TES', 'bio/hg38_TNFSF4', 'bio/hg38_PROCR', 'bio/hg38_AGTR1', 'bio/hg38_NFE2', 'bio/hg38_TNPO3', 'bio/hg38_CTSA', 'bio/hg38_BRCA1', 'bio/hg38_DUOX2', 'bio/hg38_NKX2-3', 'bio/hg38_DNMT3A', 'bio/hg38_SGTA', 'bio/hg38_TMEM174', 'bio/hg38_IRF6', 'bio/hg38_DAPK1', 'bio/hg38_LPCAT3', 'bio/hg38_BIN3', 'bio/hg38_CYP19A1', 'bio/hg38_ITGA6', 'bio/hg38_TM9SF4', 'bio/hg38_NBR1', 'bio/hg38_BMI1', 'bio/hg38_KLF6', 'bio/hg38_EEA1', 'bio/hg38_FZD1', 'bio/hg38_IL1R1', 'bio/hg38_C10orf90', 'bio/hg38_IL12B', 'bio/hg38_HGS', 'bio/hg38_KLHL6', 'bio/hg38_TNFRSF11B', 'bio/hg38_MALT1', 'bio/hg38_PTPN2', 'bio/hg38_SLC38A4', 'bio/hg38_ACAP1', 'bio/hg38_SLC25A16', 'bio/hg38_CORO1A', 'bio/hg38_BAZ2A', 'bio/hg38_SIRT2', 'bio/hg38_OTUD3', 'bio/hg38_IRF7', 'bio/hg38_MYH10', 'bio/hg38_IGF1R', 'bio/hg38_MPZL3', 'bio/hg38_DPPA3', 'bio/hg38_USP2', 'bio/hg38_OPRD1', 'bio/hg38_CARD6', 'bio/hg38_ZPBP2', 'bio/hg38_BCL2L10', 'bio/hg38_MAP3K8', 'bio/hg38_CCL7', 'bio/hg38_MED28', 'bio/hg38_TXNRD1', 'bio/hg38_OPRM1', 'bio/hg38_EDN1', 'bio/hg38_CUL3', 'bio/hg38_ARNTL', 'bio/hg38_ADCY3', 'bio/hg38_BNIP3', 'bio/hg38_HORMAD2', 'bio/hg38_PPBP', 'bio/hg38_CEP72', 'bio/hg38_CXCL12', 'bio/hg38_NPBWR1', 'bio/hg38_PMAIP1', 'bio/hg38_HDGF', 'bio/hg38_STX17', 'bio/hg38_NFIL3', 'bio/hg38_IFNAR2', 'bio/hg38_DLAT', 'bio/hg38_CFB', 'bio/hg38_STX8', 'bio/hg38_HPGDS', 'bio/hg38_SEMA3F', 'bio/hg38_PTGER2', 'bio/hg38_MYOCD', 'bio/hg38_CD163', 'bio/hg38_REG1B', 'bio/hg38_ASPA', 'bio/hg38_UGDH', 'bio/hg38_CTSC', 'bio/hg38_ITIH2', 'bio/hg38_FIBP', 'bio/hg38_PNLIP', 'bio/hg38_PSMG1', 'bio/hg38_CPXM1', 'bio/hg38_GPA33', 'bio/hg38_MARCH1', 'bio/hg38_LYVE1', 'bio/hg38_NFYA', 'bio/hg38_THEMIS', 'bio/hg38_TMBIM6', 'bio/hg38_IRF2BP1', 'bio/hg38_GRB2', 'bio/hg38_FPR1', 'bio/hg38_SLTM', 'bio/hg38_GGTLC3', 'bio/hg38_LITAF', 'bio/hg38_RNF114', 'bio/hg38_IL23R', 'bio/hg38_ADAMTS7', 'bio/hg38_MASP2', 'bio/hg38_RAB40AL', 'bio/hg38_TAOK3', 'bio/hg38_CCL20', 'bio/hg38_AREG', 'bio/hg38_GIMAP5', 'bio/hg38_MGLL', 'bio/hg38_NOD2', 'bio/hg38_IRX5', 'bio/hg38_PEPD', 'bio/hg38_GBP7', 'bio/hg38_USP18', 'bio/hg38_NOS1AP', 'bio/hg38_MAP2K5', 'bio/hg38_COG2', 'bio/hg38_ADAMTS4', 'bio/hg38_XPNPEP1', 'bio/hg38_NRIP1', 'bio/hg38_LILRB3', 'bio/hg38_SCD', 'bio/hg38_APOBEC3G', 'bio/hg38_PCSK5', 'bio/hg38_CCND1', 'bio/hg38_NRBF2', 'bio/hg38_HLA-DRB1', 'bio/hg38_CD300E', 'bio/hg38_MMP13', 'bio/hg38_HAVCR2', 'bio/hg38_CXCL3', 'bio/hg38_IFIT3', 'bio/hg38_SNRNP70', 'bio/hg38_ATF6', 'bio/hg38_PLEKHH1', 'bio/hg38_HTR1A', 'bio/hg38_TTC7A', 'bio/hg38_MREG', 'bio/hg38_ST3GAL4', 'bio/hg38_CD247', 'bio/hg38_SLC10A4', 'bio/hg38_SCTR', 'bio/hg38_TNFSF15', 'bio/hg38_PSTPIP1', 'bio/hg38_ANG', 'bio/hg38_AQP11', 'bio/hg38_DEFB124', 'bio/hg38_LGR5', 'bio/hg38_RNF138', 'bio/hg38_S1PR5', 'bio/hg38_SLAMF1', 'bio/hg38_SULF1', 'bio/hg38_BMP7', 'bio/hg38_CDK6', 'bio/hg38_PECAM1', 'bio/hg38_PGAP3', 'bio/hg38_SP7', 'bio/hg38_MST1R', 'bio/hg38_ADIPOR2', 'bio/hg38_NCMAP', 'bio/hg38_RNF31', 'bio/hg38_RHBDF2', 'bio/hg38_NLRX1', 'bio/hg38_TXK', 'bio/hg38_LIF', 'bio/hg38_VAMP8', 'bio/hg38_C1S', 'bio/hg38_NKD1', 'bio/hg38_IRAK4', 'bio/hg38_RAB2A', 'bio/hg38_RORC', 'bio/hg38_IER3IP1', 'bio/hg38_SELP', 'bio/hg38_P2RX5', 'bio/hg38_CA13', 'bio/hg38_CCNY', 'bio/hg38_C3', 'bio/hg38_PREP', 'bio/hg38_NFATC3', 'bio/hg38_ABL1', 'bio/hg38_CLDN5', 'bio/hg38_ORM1', 'bio/hg38_VCL', 'bio/hg38_ST5', 'bio/hg38_SLC36A4', 'bio/hg38_BPI', 'bio/hg38_C5orf56', 'bio/hg38_ENO3', 'bio/hg38_LGALS7', 'bio/hg38_PPT1', 'bio/hg38_TRAF3IP2', 'bio/hg38_CX3CR1', 'bio/hg38_DRD5', 'bio/hg38_LRIG1', 'bio/hg38_CARD8', 'bio/hg38_PAX5', 'bio/hg38_SDHB', 'bio/hg38_NPSR1', 'bio/hg38_SLC30A8', 'bio/hg38_STC1', 'bio/hg38_LMX1B', 'bio/hg38_LILRB2', 'bio/hg38_SLC1A7', 'bio/hg38_ZG16', 'bio/hg38_TAPBP', 'bio/hg38_MIB2', 'bio/hg38_HMBS', 'bio/hg38_SIRT3', 'bio/hg38_SLC22A5', 'bio/hg38_TNFSF13B', 'bio/hg38_AZGP1', 'bio/hg38_MSH2', 'bio/hg38_PPM1G', 'bio/hg38_KLRD1', 'bio/hg38_LALBA', 'bio/hg38_GAST', 'bio/hg38_MSH3', 'bio/hg38_AVP', 'bio/hg38_PHOX2B', 'bio/hg38_MDM2', 'bio/hg38_SGSH', 'bio/hg38_MGMT', 'bio/hg38_RARA', 'bio/hg38_XKR6', 'bio/hg38_TF', 'bio/hg38_CD46', 'bio/hg38_SIK2', 'bio/hg38_APOH', 'bio/hg38_CALR', 'bio/hg38_RPS6KA2', 'bio/hg38_HLA-B', 'bio/hg38_NOTCH4', 'bio/hg38_ST6GAL1', 'bio/hg38_USP7', 'bio/hg38_RNF125', 'bio/hg38_AGR2', 'bio/hg38_MRAP', 'bio/hg38_CASP6', 'bio/hg38_BANF1', 'bio/hg38_FERMT1', 'bio/hg38_GOPC', 'bio/hg38_HGF', 'bio/hg38_FAM107B', 'bio/hg38_CASP5', 'bio/hg38_GRASP', 'bio/hg38_LAG3', 'bio/hg38_RAN', 'bio/hg38_KRTAP1-3', 'bio/hg38_ALDH7A1', 'bio/hg38_P2RX4', 'bio/hg38_ZNF683', 'bio/hg38_STEAP2-AS1', 'bio/hg38_BLOC1S3', 'bio/hg38_SOD1', 'bio/hg38_WNT2', 'bio/hg38_EHMT2', 'bio/hg38_ANO6', 'bio/hg38_PTGER1', 'bio/hg38_ULBP1', 'bio/hg38_MAPK9', 'bio/hg38_CD72', 'bio/hg38_EHD4', 'bio/hg38_GBGT1', 'bio/hg38_USP8', 'bio/hg38_SP140', 'bio/hg38_FCRL3', 'bio/hg38_TRPC4', 'bio/hg38_RAG1', 'bio/hg38_CD200', 'bio/hg38_BTNL9', 'bio/hg38_ALOX15B', 'bio/hg38_IGF2', 'bio/hg38_ALAD', 'bio/hg38_ADAMTS12', 'bio/hg38_RNF43', 'bio/hg38_PARP1', 'bio/hg38_RNH1', 'bio/hg38_DNAJC17', 'bio/hg38_SULF2', 'bio/hg38_ABCG5', 'bio/hg38_CD2', 'bio/hg38_IL22RA2', 'bio/hg38_LSR', 'bio/hg38_NR1H2', 'bio/hg38_UMOD', 'bio/hg38_PIPOX', 'bio/hg38_PITX1', 'bio/hg38_OTUB1', 'bio/hg38_MSN', 'bio/hg38_TMEM17', 'bio/hg38_TEK', 'bio/hg38_SLC9A3R1', 'bio/hg38_EBF1', 'bio/hg38_UNC93B1', 'bio/hg38_HDAC1', 'bio/hg38_AQP10', 'bio/hg38_DNAJB9', 'bio/hg38_NEUROG3', 'bio/hg38_DHCR7', 'bio/hg38_CXCL2', 'bio/hg38_PER3', 'bio/hg38_PLEK', 'bio/hg38_AFF3', 'bio/hg38_PRKG1', 'bio/hg38_ACKR2', 'bio/hg38_SGPL1', 'bio/hg38_GMPS', 'bio/hg38_MOCOS', 'bio/hg38_CSNK2B', 'bio/hg38_ID1', 'bio/hg38_SPINK1', 'bio/hg38_PRDX1', 'bio/hg38_ENTPD3', 'bio/hg38_CPAMD8', 'bio/hg38_H2AFX', 'bio/hg38_CDA', 'bio/hg38_C1GALT1C1']\n", - "3967\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "dVDg8KVpDa15" - }, - "source": [ - "## Drug-Gene Associations Query \n", - "\n", - "Using the genes we found above, we can find chemcial compounds that are associated with the genes via ChemicalCompoundGeneAssociation nodes in Data Commons. We will be storing the relationship of candidate to gene targets in the form of a dictionary. Later on, we will use these relationships to rank certain candidates against the the treatment compounds we found earlier." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "v1PoHE2wQiaA", - "outputId": "af053d82-5e2b-4118-b3b5-a027dca24d8d", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "source": [ - "# Find ChemicalCompoundGeneAssociation nodes involving the newly found \n", - "# associated genes\n", - "query_str = '''\n", - "SELECT ?cga_dcid ?gene\n", - "WHERE {{\n", - "?gene dcid (\"{0}\") .\n", - "?cga_dcid typeOf ChemicalCompoundGeneAssociation .\n", - "?cga_dcid geneID ?gene . \n", - "}}\n", - "'''\n", - "\n", - "result = conduct_query(query_str, hg38_associated_genes)\n", - "\n", - "candidate_to_genes = {}\n", - "print(result)\n", - "\n", - "if not result:\n", - " print('no drug-gene associations found')\n", - "else:\n", - " # retreive the compound dcids involved in the found \n", - " # ChemicalCompoundGeneAssociation nodes\n", - " cga_list = [row['?cga_dcid'] for row in result]\n", - " cga_to_candidate = dc.get_property_values(cga_list, 'compoundID')\n", - " print(cga_to_candidate)\n", - " \n", - " for row in result:\n", - " candidate = cga_to_candidate[row['?cga_dcid']][0]\n", - "\n", - " # ensure we have limited targets to hg38\n", - " if not row['?gene'].startswith('bio/hg38'):\n", - " continue\n", - " # save candidate to gene targets relationship\n", - " if candidate in candidate_to_genes:\n", - " candidate_to_genes[candidate].add(row['?gene'])\n", - " else:\n", - " candidate_to_genes[candidate] = {row['?gene']}\n", - " \n", - "print(candidate_to_genes)\n", - "print(len(candidate_to_genes))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "\n", - "SELECT ?cga_dcid ?gene\n", - "WHERE {\n", - "?gene dcid (\"bio/hg38_CXCR3\" \"bio/hg38_TGFBR2\" \"bio/hg38_TFF1\" \"bio/hg38_AUTS2\" \"bio/hg38_TPM1\" \"bio/hg38_KLRK1\" \"bio/hg38_IL12B\" \"bio/hg38_LTA4H\" \"bio/hg38_SLC39A14\" \"bio/hg38_CYP27A1\" \"bio/hg38_SPINK5\" \"bio/hg38_SLK\" \"bio/hg38_DHX9\" \"bio/hg38_NOTCH4\" \"bio/hg38_ADORA2A\" \"bio/hg38_TNFRSF4\" \"bio/hg38_FGFR2\" \"bio/hg38_ADCY5\" \"bio/hg38_PDHX\" \"bio/hg38_PLAU\" \"bio/hg38_CCL3L3\" \"bio/hg38_TIMP2\" \"bio/hg38_CLEC5A\" \"bio/hg38_FGF2\" \"bio/hg38_SLAIN2\" \"bio/hg38_NGFR\" \"bio/hg38_RPS6KB1\" \"bio/hg38_TNFSF15\" \"bio/hg38_NOXA1\" \"bio/hg38_DUSP12\" \"bio/hg38_HTT\" \"bio/hg38_UGT1A8\" \"bio/hg38_BSN\" \"bio/hg38_S100A9\" \"bio/hg38_GPR68\" \"bio/hg38_CD4\" \"bio/hg38_KDR\" \"bio/hg38_PIP4K2C\" \"bio/hg38_BDH1\" \"bio/hg38_NUDT3\" \"bio/hg38_TNFRSF10D\" \"bio/hg38_PHACTR1\" \"bio/hg38_LPA\" \"bio/hg38_IL31\" \"bio/hg38_ACKR1\" \"bio/hg38_IDH1\" \"bio/hg38_HNF1B\" \"bio/hg38_VCAM1\" \"bio/hg38_TCF7L2\" \"bio/hg38_RPS13\" \"bio/hg38_TES\" \"bio/hg38_TNFSF4\" \"bio/hg38_PROCR\" \"bio/hg38_AGTR1\" \"bio/hg38_NFE2\" \"bio/hg38_TNPO3\" \"bio/hg38_CTSA\" \"bio/hg38_BRCA1\" \"bio/hg38_DUOX2\" \"bio/hg38_NKX2-3\" \"bio/hg38_DNMT3A\" \"bio/hg38_SGTA\" \"bio/hg38_TMEM174\" \"bio/hg38_IRF6\" \"bio/hg38_DAPK1\" \"bio/hg38_LPCAT3\" \"bio/hg38_BIN3\" \"bio/hg38_CYP19A1\" \"bio/hg38_ITGA6\" \"bio/hg38_TM9SF4\" \"bio/hg38_NBR1\" \"bio/hg38_BMI1\" \"bio/hg38_KLF6\" \"bio/hg38_EEA1\" \"bio/hg38_FZD1\" \"bio/hg38_IL1R1\" \"bio/hg38_C10orf90\" \"bio/hg38_IL12B\" \"bio/hg38_HGS\" \"bio/hg38_KLHL6\" \"bio/hg38_TNFRSF11B\" \"bio/hg38_MALT1\" \"bio/hg38_PTPN2\" \"bio/hg38_SLC38A4\" \"bio/hg38_ACAP1\" \"bio/hg38_SLC25A16\" \"bio/hg38_CORO1A\" \"bio/hg38_BAZ2A\" \"bio/hg38_SIRT2\" \"bio/hg38_OTUD3\" \"bio/hg38_IRF7\" \"bio/hg38_MYH10\" \"bio/hg38_IGF1R\" \"bio/hg38_MPZL3\" \"bio/hg38_DPPA3\" \"bio/hg38_USP2\" \"bio/hg38_OPRD1\" \"bio/hg38_CARD6\" \"bio/hg38_ZPBP2\" \"bio/hg38_BCL2L10\" \"bio/hg38_MAP3K8\" \"bio/hg38_CCL7\" \"bio/hg38_MED28\" \"bio/hg38_TXNRD1\" \"bio/hg38_OPRM1\" \"bio/hg38_EDN1\" \"bio/hg38_CUL3\" \"bio/hg38_ARNTL\" \"bio/hg38_ADCY3\" \"bio/hg38_BNIP3\" \"bio/hg38_HORMAD2\" \"bio/hg38_PPBP\" \"bio/hg38_CEP72\" \"bio/hg38_CXCL12\" \"bio/hg38_NPBWR1\" \"bio/hg38_PMAIP1\" \"bio/hg38_HDGF\" \"bio/hg38_STX17\" \"bio/hg38_NFIL3\" \"bio/hg38_IFNAR2\" \"bio/hg38_DLAT\" \"bio/hg38_CFB\" \"bio/hg38_STX8\" \"bio/hg38_HPGDS\" \"bio/hg38_SEMA3F\" \"bio/hg38_PTGER2\" \"bio/hg38_MYOCD\" \"bio/hg38_CD163\" \"bio/hg38_REG1B\" \"bio/hg38_ASPA\" \"bio/hg38_UGDH\" \"bio/hg38_CTSC\" \"bio/hg38_ITIH2\" \"bio/hg38_FIBP\" \"bio/hg38_PNLIP\" \"bio/hg38_PSMG1\" \"bio/hg38_CPXM1\" \"bio/hg38_GPA33\" \"bio/hg38_MARCH1\" \"bio/hg38_LYVE1\" \"bio/hg38_NFYA\" \"bio/hg38_THEMIS\" \"bio/hg38_TMBIM6\" \"bio/hg38_IRF2BP1\" \"bio/hg38_GRB2\" \"bio/hg38_FPR1\" \"bio/hg38_SLTM\" \"bio/hg38_GGTLC3\" \"bio/hg38_LITAF\" \"bio/hg38_RNF114\" \"bio/hg38_IL23R\" \"bio/hg38_ADAMTS7\" \"bio/hg38_MASP2\" \"bio/hg38_RAB40AL\" \"bio/hg38_TAOK3\" \"bio/hg38_CCL20\" \"bio/hg38_AREG\" \"bio/hg38_GIMAP5\" \"bio/hg38_MGLL\" \"bio/hg38_NOD2\" \"bio/hg38_IRX5\" \"bio/hg38_PEPD\" \"bio/hg38_GBP7\" \"bio/hg38_USP18\" \"bio/hg38_NOS1AP\" \"bio/hg38_MAP2K5\" \"bio/hg38_COG2\" \"bio/hg38_ADAMTS4\" \"bio/hg38_XPNPEP1\" \"bio/hg38_NRIP1\" \"bio/hg38_LILRB3\" \"bio/hg38_SCD\" \"bio/hg38_APOBEC3G\" \"bio/hg38_PCSK5\" \"bio/hg38_CCND1\" \"bio/hg38_NRBF2\" \"bio/hg38_HLA-DRB1\" \"bio/hg38_CD300E\" \"bio/hg38_MMP13\" \"bio/hg38_HAVCR2\" \"bio/hg38_CXCL3\" \"bio/hg38_IFIT3\" \"bio/hg38_SNRNP70\" \"bio/hg38_ATF6\" \"bio/hg38_PLEKHH1\" \"bio/hg38_HTR1A\" \"bio/hg38_TTC7A\" \"bio/hg38_MREG\" \"bio/hg38_ST3GAL4\" \"bio/hg38_CD247\" \"bio/hg38_SLC10A4\" \"bio/hg38_SCTR\" \"bio/hg38_TNFSF15\" \"bio/hg38_PSTPIP1\" \"bio/hg38_ANG\" \"bio/hg38_AQP11\" \"bio/hg38_DEFB124\" \"bio/hg38_LGR5\" \"bio/hg38_RNF138\" \"bio/hg38_S1PR5\" \"bio/hg38_SLAMF1\" \"bio/hg38_SULF1\" \"bio/hg38_BMP7\" \"bio/hg38_CDK6\" \"bio/hg38_PECAM1\" \"bio/hg38_PGAP3\" \"bio/hg38_SP7\" \"bio/hg38_MST1R\" \"bio/hg38_ADIPOR2\" \"bio/hg38_NCMAP\" \"bio/hg38_RNF31\" \"bio/hg38_RHBDF2\" \"bio/hg38_NLRX1\" \"bio/hg38_TXK\" \"bio/hg38_LIF\" \"bio/hg38_VAMP8\" \"bio/hg38_C1S\" \"bio/hg38_NKD1\" \"bio/hg38_IRAK4\" \"bio/hg38_RAB2A\" \"bio/hg38_RORC\" \"bio/hg38_IER3IP1\" \"bio/hg38_SELP\" \"bio/hg38_P2RX5\" \"bio/hg38_CA13\" \"bio/hg38_CCNY\" \"bio/hg38_C3\" \"bio/hg38_PREP\" \"bio/hg38_NFATC3\" \"bio/hg38_ABL1\" \"bio/hg38_CLDN5\" \"bio/hg38_ORM1\" \"bio/hg38_VCL\" \"bio/hg38_ST5\" \"bio/hg38_SLC36A4\" \"bio/hg38_BPI\" \"bio/hg38_C5orf56\" \"bio/hg38_ENO3\" \"bio/hg38_LGALS7\" \"bio/hg38_PPT1\" \"bio/hg38_TRAF3IP2\" \"bio/hg38_CX3CR1\" \"bio/hg38_DRD5\" \"bio/hg38_LRIG1\" \"bio/hg38_CARD8\" \"bio/hg38_PAX5\" \"bio/hg38_SDHB\" \"bio/hg38_NPSR1\" \"bio/hg38_SLC30A8\" \"bio/hg38_STC1\" \"bio/hg38_LMX1B\" \"bio/hg38_LILRB2\" \"bio/hg38_SLC1A7\" \"bio/hg38_ZG16\" \"bio/hg38_TAPBP\" \"bio/hg38_MIB2\" \"bio/hg38_HMBS\" \"bio/hg38_SIRT3\" \"bio/hg38_SLC22A5\" \"bio/hg38_TNFSF13B\" \"bio/hg38_AZGP1\" \"bio/hg38_MSH2\" \"bio/hg38_PPM1G\" \"bio/hg38_KLRD1\" \"bio/hg38_LALBA\" \"bio/hg38_GAST\" \"bio/hg38_MSH3\" \"bio/hg38_AVP\" \"bio/hg38_PHOX2B\" \"bio/hg38_MDM2\" \"bio/hg38_SGSH\" \"bio/hg38_MGMT\" \"bio/hg38_RARA\" \"bio/hg38_XKR6\" \"bio/hg38_TF\" \"bio/hg38_CD46\" \"bio/hg38_SIK2\" \"bio/hg38_APOH\" \"bio/hg38_CALR\" \"bio/hg38_RPS6KA2\" \"bio/hg38_HLA-B\" \"bio/hg38_NOTCH4\" \"bio/hg38_ST6GAL1\" \"bio/hg38_USP7\" \"bio/hg38_RNF125\" \"bio/hg38_AGR2\" \"bio/hg38_MRAP\" \"bio/hg38_CASP6\" \"bio/hg38_BANF1\" \"bio/hg38_FERMT1\" \"bio/hg38_GOPC\" \"bio/hg38_HGF\" \"bio/hg38_FAM107B\" \"bio/hg38_CASP5\" \"bio/hg38_GRASP\" \"bio/hg38_LAG3\" \"bio/hg38_RAN\" \"bio/hg38_KRTAP1-3\" \"bio/hg38_ALDH7A1\" \"bio/hg38_P2RX4\" \"bio/hg38_ZNF683\" \"bio/hg38_STEAP2-AS1\" \"bio/hg38_BLOC1S3\" \"bio/hg38_SOD1\" \"bio/hg38_WNT2\" \"bio/hg38_EHMT2\" \"bio/hg38_ANO6\" \"bio/hg38_PTGER1\" \"bio/hg38_ULBP1\" \"bio/hg38_MAPK9\" \"bio/hg38_CD72\" \"bio/hg38_EHD4\" \"bio/hg38_GBGT1\" \"bio/hg38_USP8\" \"bio/hg38_SP140\" \"bio/hg38_FCRL3\" \"bio/hg38_TRPC4\" \"bio/hg38_RAG1\" \"bio/hg38_CD200\" \"bio/hg38_BTNL9\" \"bio/hg38_ALOX15B\" \"bio/hg38_IGF2\" \"bio/hg38_ALAD\" \"bio/hg38_ADAMTS12\" \"bio/hg38_RNF43\" \"bio/hg38_PARP1\" \"bio/hg38_RNH1\" \"bio/hg38_DNAJC17\" \"bio/hg38_SULF2\" \"bio/hg38_ABCG5\" \"bio/hg38_CD2\" \"bio/hg38_IL22RA2\" \"bio/hg38_LSR\" \"bio/hg38_NR1H2\" \"bio/hg38_UMOD\" \"bio/hg38_PIPOX\" \"bio/hg38_PITX1\" \"bio/hg38_OTUB1\" \"bio/hg38_MSN\" \"bio/hg38_TMEM17\" \"bio/hg38_TEK\" \"bio/hg38_SLC9A3R1\" \"bio/hg38_EBF1\" \"bio/hg38_UNC93B1\" \"bio/hg38_HDAC1\" \"bio/hg38_AQP10\" \"bio/hg38_DNAJB9\" \"bio/hg38_NEUROG3\" \"bio/hg38_DHCR7\" \"bio/hg38_CXCL2\" \"bio/hg38_PER3\" \"bio/hg38_PLEK\" \"bio/hg38_AFF3\" \"bio/hg38_PRKG1\" \"bio/hg38_ACKR2\" \"bio/hg38_SGPL1\" \"bio/hg38_GMPS\" \"bio/hg38_MOCOS\" \"bio/hg38_CSNK2B\" \"bio/hg38_ID1\" \"bio/hg38_SPINK1\" \"bio/hg38_PRDX1\" \"bio/hg38_ENTPD3\" \"bio/hg38_CPAMD8\" \"bio/hg38_H2AFX\" \"bio/hg38_CDA\" \"bio/hg38_C1GALT1C1\") .\n", - "?cga_dcid typeOf ChemicalCompoundGeneAssociation .\n", - "?cga_dcid geneID ?gene . \n", - "}\n", - "\n", - "[{'?cga_dcid': 'bio/CGA_CHEMBL960_hg38_DHODH', '?gene': 'bio/hg38_DHODH'}, {'?cga_dcid': 'bio/CGA_CHEMBL350239_hg38_SLCO2B1', '?gene': 'bio/hg38_SLCO2B1'}, {'?cga_dcid': 'bio/CGA_PA164713366_hg38_CDKAL1', '?gene': 'bio/hg38_CDKAL1'}, {'?cga_dcid': 'bio/CGA_PA164754825_hg38_CALCA', '?gene': 'bio/hg38_CALCA'}, {'?cga_dcid': 'bio/CGA_CHEMBL1908360_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_CHEMBL83_hg38_F5', '?gene': 'bio/hg38_F5'}, {'?cga_dcid': 'bio/CGA_CHEMBL481_hg38_UBE2I', '?gene': 'bio/hg38_UBE2I'}, {'?cga_dcid': 'bio/CGA_CHEMBL384467_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1330_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_PA449014_hg38_NRAS', '?gene': 'bio/hg38_NRAS'}, {'?cga_dcid': 'bio/CGA_PA451743_hg38_FCGR2A', '?gene': 'bio/hg38_FCGR2A'}, {'?cga_dcid': 'bio/CGA_CHEMBL1329_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_CHEMBL2103875_hg38_NRAS', '?gene': 'bio/hg38_NRAS'}, {'?cga_dcid': 'bio/CGA_CHEMBL960_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_PA452639_hg38_TRAF1', '?gene': 'bio/hg38_TRAF1'}, {'?cga_dcid': 'bio/CGA_CHEMBL428647_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1093458_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL941_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL612_hg38_DRD1', '?gene': 'bio/hg38_DRD1'}, {'?cga_dcid': 'bio/CGA_CHEMBL3545110_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_PA164713366_hg38_TNFAIP3', '?gene': 'bio/hg38_TNFAIP3'}, {'?cga_dcid': 'bio/CGA_PA164712331_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_CHEMBL1522_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1393_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_PA452632_hg38_CALU', '?gene': 'bio/hg38_CALU'}, {'?cga_dcid': 'bio/CGA_CHEMBL926_hg38_GNAS', '?gene': 'bio/hg38_GNAS'}, {'?cga_dcid': 'bio/CGA_CHEMBL1683544_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_PA448803_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_PA164712505_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_CHEMBL2133738_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1163_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_PA131548935_hg38_F5', '?gene': 'bio/hg38_F5'}, {'?cga_dcid': 'bio/CGA_CHEMBL25_hg38_NCF4', '?gene': 'bio/hg38_NCF4'}, {'?cga_dcid': 'bio/CGA_CHEMBL81_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1234004_hg38_SCN5A', '?gene': 'bio/hg38_SCN5A'}, {'?cga_dcid': 'bio/CGA_CHEMBL92_hg38_NR1I3', '?gene': 'bio/hg38_NR1I3'}, {'?cga_dcid': 'bio/CGA_CHEMBL978_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL489_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1643_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_CHEMBL649_hg38_SLCO2B1', '?gene': 'bio/hg38_SLCO2B1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1241951_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_PA166114911_hg38_NRAS', '?gene': 'bio/hg38_NRAS'}, {'?cga_dcid': 'bio/CGA_CHEMBL723_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1399_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_PA166182279_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_PA449515_hg38_SLCO1C1', '?gene': 'bio/hg38_SLCO1C1'}, {'?cga_dcid': 'bio/CGA_PA449456_hg38_BDKRB2', '?gene': 'bio/hg38_BDKRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL92_hg38_HNF4A', '?gene': 'bio/hg38_HNF4A'}, {'?cga_dcid': 'bio/CGA_CHEMBL185_hg38_FOXO1', '?gene': 'bio/hg38_FOXO1'}, {'?cga_dcid': 'bio/CGA_PA164712308_hg38_BDKRB2', '?gene': 'bio/hg38_BDKRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL517_hg38_SCN5A', '?gene': 'bio/hg38_SCN5A'}, {'?cga_dcid': 'bio/CGA_CHEMBL85_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_CHEMBL191_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1390_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL640_hg38_SCN5A', '?gene': 'bio/hg38_SCN5A'}, {'?cga_dcid': 'bio/CGA_CHEMBL20883_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_PA164924493_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL554_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_CHEMBL118_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1201258_hg38_DHFR', '?gene': 'bio/hg38_DHFR'}, {'?cga_dcid': 'bio/CGA_PA166115442_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_PA10004_hg38_HFE', '?gene': 'bio/hg38_HFE'}, {'?cga_dcid': 'bio/CGA_CHEMBL1336_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_PA10004_hg38_FCGR2A', '?gene': 'bio/hg38_FCGR2A'}, {'?cga_dcid': 'bio/CGA_CHEMBL1431_hg38_PRKAA1', '?gene': 'bio/hg38_PRKAA1'}, {'?cga_dcid': 'bio/CGA_CHEMBL796_hg38_DRD1', '?gene': 'bio/hg38_DRD1'}, {'?cga_dcid': 'bio/CGA_CHEMBL3189058_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL481_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_CHEMBL656_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_PA166124615_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_CHEMBL1643_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_PA165110439_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_CHEMBL54_hg38_NTS', '?gene': 'bio/hg38_NTS'}, {'?cga_dcid': 'bio/CGA_CHEMBL672_hg38_APOB', '?gene': 'bio/hg38_APOB'}, {'?cga_dcid': 'bio/CGA_CHEMBL88_hg38_FOXO1', '?gene': 'bio/hg38_FOXO1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1624_hg38_DIO2', '?gene': 'bio/hg38_DIO2'}, {'?cga_dcid': 'bio/CGA_CHEMBL941_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_PA164712331_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1487_hg38_APOA5', '?gene': 'bio/hg38_APOA5'}, {'?cga_dcid': 'bio/CGA_CHEMBL211456_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL7252_hg38_NR1I3', '?gene': 'bio/hg38_NR1I3'}, {'?cga_dcid': 'bio/CGA_PA165958521_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_PA162373091_hg38_NRAS', '?gene': 'bio/hg38_NRAS'}, {'?cga_dcid': 'bio/CGA_PA164713366_hg38_GBP6', '?gene': 'bio/hg38_GBP6'}, {'?cga_dcid': 'bio/CGA_CHEMBL191_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_PA133950441_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_PA166114922_hg38_APOB', '?gene': 'bio/hg38_APOB'}, {'?cga_dcid': 'bio/CGA_CHEMBL1760_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL3353410_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_PA131285527_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_CHEMBL729_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1263_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL92_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_PA449061_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_CHEMBL607_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL223228_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_CHEMBL502_hg38_CHAT', '?gene': 'bio/hg38_CHAT'}, {'?cga_dcid': 'bio/CGA_CHEMBL779_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1467_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_CHEMBL54_hg38_DRD1', '?gene': 'bio/hg38_DRD1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1163_hg38_SORCS2', '?gene': 'bio/hg38_SORCS2'}, {'?cga_dcid': 'bio/CGA_CHEMBL1173655_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_CHEMBL92_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_PA451365_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1473_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL888_hg38_HCP5', '?gene': 'bio/hg38_HCP5'}, {'?cga_dcid': 'bio/CGA_PA162373091_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_CHEMBL92_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_PA164713366_hg38_TLR4', '?gene': 'bio/hg38_TLR4'}, {'?cga_dcid': 'bio/CGA_PA449515_hg38_FCGR2A', '?gene': 'bio/hg38_FCGR2A'}, {'?cga_dcid': 'bio/CGA_PA10832_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_PA165110351_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL596_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL398707_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL88_hg38_RAB27A', '?gene': 'bio/hg38_RAB27A'}, {'?cga_dcid': 'bio/CGA_PA164713366_hg38_TNFRSF10A', '?gene': 'bio/hg38_TNFRSF10A'}, {'?cga_dcid': 'bio/CGA_PA450688_hg38_CHAT', '?gene': 'bio/hg38_CHAT'}, {'?cga_dcid': 'bio/CGA_CHEMBL435_hg38_CSK', '?gene': 'bio/hg38_CSK'}, {'?cga_dcid': 'bio/CGA_PA130232992_hg38_CXCL8', '?gene': 'bio/hg38_CXCL8'}, {'?cga_dcid': 'bio/CGA_CHEMBL1741_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1487_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_PA166127651_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL503_hg38_SLCO2B1', '?gene': 'bio/hg38_SLCO2B1'}, {'?cga_dcid': 'bio/CGA_CHEMBL923_hg38_LRP5', '?gene': 'bio/hg38_LRP5'}, {'?cga_dcid': 'bio/CGA_PA448685_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1256786_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL1428_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL679_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL1908360_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_PA165290929_hg38_F5', '?gene': 'bio/hg38_F5'}, {'?cga_dcid': 'bio/CGA_CHEMBL1358_hg38_ESR1', '?gene': 'bio/hg38_ESR1'}, {'?cga_dcid': 'bio/CGA_PA164760843_hg38_UGT1A1', '?gene': 'bio/hg38_UGT1A1'}, {'?cga_dcid': 'bio/CGA_PA448803_hg38_EGFR', '?gene': 'bio/hg38_EGFR'}, {'?cga_dcid': 'bio/CGA_CHEMBL1419_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL27_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL500_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL659_hg38_CHAT', '?gene': 'bio/hg38_CHAT'}, {'?cga_dcid': 'bio/CGA_CHEMBL49_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 'bio/CGA_CHEMBL535_hg38_CXCL8', '?gene': 'bio/hg38_CXCL8'}, {'?cga_dcid': 'bio/CGA_CHEMBL13_hg38_ADRB2', '?gene': 'bio/hg38_ADRB2'}, {'?cga_dcid': 'bio/CGA_PA164713366_hg38_TRAF1', '?gene': 'bio/hg38_TRAF1'}, {'?cga_dcid': 'bio/CGA_CHEMBL503_hg38_APOA5', '?gene': 'bio/hg38_APOA5'}, {'?cga_dcid': 'bio/CGA_CHEMBL866_hg38_CYP3A5', '?gene': 'bio/hg38_CYP3A5'}, {'?cga_dcid': 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{'?cga_dcid': 'bio/CGA_CHEMBL796_hg38_HTT', '?gene': 'bio/hg38_HTT'}, {'?cga_dcid': 'bio/CGA_PA166129559_hg38_CYP19A1', '?gene': 'bio/hg38_CYP19A1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1082_hg38_HLA-B', '?gene': 'bio/hg38_HLA-B'}, {'?cga_dcid': 'bio/CGA_CHEMBL3545376_hg38_FGFR2', '?gene': 'bio/hg38_FGFR2'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg38_NOD2', '?gene': 'bio/hg38_NOD2'}, {'?cga_dcid': 'bio/CGA_CHEMBL108_hg38_HLA-DRB1', '?gene': 'bio/hg38_HLA-DRB1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1456_hg38_UGT1A8', '?gene': 'bio/hg38_UGT1A8'}, {'?cga_dcid': 'bio/CGA_PA452639_hg38_IL12B', '?gene': 'bio/hg38_IL12B'}, {'?cga_dcid': 'bio/CGA_CHEMBL255044_hg38_HLA-DRB1', '?gene': 'bio/hg38_HLA-DRB1'}, {'?cga_dcid': 'bio/CGA_CHEMBL1773_hg38_CDA', '?gene': 'bio/hg38_CDA'}, {'?cga_dcid': 'bio/CGA_PA10715_hg38_HLA-B', '?gene': 'bio/hg38_HLA-B'}, {'?cga_dcid': 'bio/CGA_CHEMBL40274_hg38_TXNRD1', '?gene': 'bio/hg38_TXNRD1'}, {'?cga_dcid': 'bio/CGA_CHEMBL941_hg38_ABL1', '?gene': 'bio/hg38_ABL1'}, {'?cga_dcid': 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['bio/CHEMBL803'], 'bio/CGA_PA133950441_hg38_LPA': ['bio/PA133950441'], 'bio/CGA_CHEMBL1094636_hg38_BRCA1': ['bio/CHEMBL1094636'], 'bio/CGA_CHEMBL796_hg38_HTT': ['bio/CHEMBL796'], 'bio/CGA_PA166129559_hg38_CYP19A1': ['bio/PA166129559'], 'bio/CGA_CHEMBL1082_hg38_HLA-B': ['bio/CHEMBL1082'], 'bio/CGA_CHEMBL3545376_hg38_FGFR2': ['bio/CHEMBL3545376'], 'bio/CGA_CHEMBL1456_hg38_UGT1A8': ['bio/CHEMBL1456'], 'bio/CGA_CHEMBL1773_hg38_CDA': ['bio/CHEMBL1773'], 'bio/CGA_PA10715_hg38_HLA-B': ['bio/PA10715'], 'bio/CGA_CHEMBL40274_hg38_TXNRD1': ['bio/CHEMBL40274'], 'bio/CGA_CHEMBL941_hg38_ABL1': ['bio/CHEMBL941'], 'bio/CGA_CHEMBL53463_hg38_BMP7': ['bio/CHEMBL53463'], 'bio/CGA_CHEMBL1335656_hg38_HLA-B': ['bio/CHEMBL1335656']}\n", - "{'bio/CHEMBL960': {'bio/hg38_DHODH', 'bio/hg38_CYP1A2', 'bio/hg38_ESR1'}, 'bio/CHEMBL350239': {'bio/hg38_ABCG2', 'bio/hg38_SLCO1B1', 'bio/hg38_CYP3A5', 'bio/hg38_LIPC', 'bio/hg38_CYP2C8', 'bio/hg38_APOE', 'bio/hg38_SLCO2B1', 'bio/hg38_ACE', 'bio/hg38_CYP2C9', 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'bio/CHEMBL1093458': {'bio/hg38_CYP3A5', 'bio/hg38_CYP2C9', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_CYP2C19'}, 'bio/CHEMBL941': {'bio/hg38_SLC22A1', 'bio/hg38_SLC22A5', 'bio/hg38_SLCO1A2', 'bio/hg38_PDGFRB', 'bio/hg38_ABCB1', 'bio/hg38_NQO1', 'bio/hg38_CYP1A2', 'bio/hg38_EGFR', 'bio/hg38_KIT', 'bio/hg38_GSTM1', 'bio/hg38_CYP2B6', 'bio/hg38_ABCG2', 'bio/hg38_BCL2L11', 'bio/hg38_PDGFRA', 'bio/hg38_ABCB4', 'bio/hg38_SLC22A4', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_ABCC4', 'bio/hg38_ABL1'}, 'bio/CHEMBL612': {'bio/hg38_KAT2B', 'bio/hg38_CYP2D6', 'bio/hg38_DRD1', 'bio/hg38_OPRM1', 'bio/hg38_DRD2'}, 'bio/CHEMBL3545110': {'bio/hg38_ESR2', 'bio/hg38_ERBB2', 'bio/hg38_ESR1', 'bio/hg38_PGR'}, 'bio/PA164712331': {'bio/hg38_EGFR', 'bio/hg38_NQO1', 'bio/hg38_ESR1'}, 'bio/CHEMBL1522': {'bio/hg38_CYP3A5'}, 'bio/CHEMBL1393': {'bio/hg38_ACE', 'bio/hg38_NOS3', 'bio/hg38_NR1I2', 'bio/hg38_ADRB2', 'bio/hg38_ABCB1'}, 'bio/PA452632': {'bio/hg38_CYP4F2', 'bio/hg38_APOE', 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'bio/CHEMBL2133738': {'bio/hg38_ESR2', 'bio/hg38_ESR1', 'bio/hg38_PGR'}, 'bio/CHEMBL1163': {'bio/hg38_SLCO1B1', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_NR1I2', 'bio/hg38_UGT1A1', 'bio/hg38_ABCB1', 'bio/hg38_SORCS2', 'bio/hg38_CYP2C19'}, 'bio/PA131548935': {'bio/hg38_DRD1', 'bio/hg38_F5'}, 'bio/CHEMBL25': {'bio/hg38_UGT1A6', 'bio/hg38_HLA-DPB1', 'bio/hg38_ZBTB22', 'bio/hg38_ITGB3', 'bio/hg38_G6PD', 'bio/hg38_AGT', 'bio/hg38_PTGER3', 'bio/hg38_TBXAS1', 'bio/hg38_ACE', 'bio/hg38_CYP2C9', 'bio/hg38_TLR3', 'bio/hg38_IRS1', 'bio/hg38_PTGS2', 'bio/hg38_IL4', 'bio/hg38_PPARG', 'bio/hg38_FCER1G', 'bio/hg38_HLA-DQB1', 'bio/hg38_NTRK1', 'bio/hg38_HLA-DRB1', 'bio/hg38_TGFB1', 'bio/hg38_PTGS1', 'bio/hg38_TNFRSF11A', 'bio/hg38_CHIA', 'bio/hg38_ODC1', 'bio/hg38_GP1BA', 'bio/hg38_HNMT', 'bio/hg38_NAT2', 'bio/hg38_IKBKB', 'bio/hg38_PTGER2', 'bio/hg38_HLA-DQA1', 'bio/hg38_GP6', 'bio/hg38_PTGIR', 'bio/hg38_CYP2C19', 'bio/hg38_P2RY1', 'bio/hg38_CYP4F2', 'bio/hg38_TAPBP', 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'bio/hg38_CYP2D6'}, 'bio/PA166169875': {'bio/hg38_CD274'}, 'bio/PA164712760': {'bio/hg38_ACE'}, 'bio/CHEMBL2111112': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL2104993': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL75880': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL17860': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL642': {'bio/hg38_CYP2D6'}, 'bio/PA451406': {'bio/hg38_ACE'}, 'bio/PA166177476': {'bio/hg38_CYP2D6'}, 'bio/PA164712948': {'bio/hg38_ABCG2', 'bio/hg38_OPRM1'}, 'bio/CHEMBL169901': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL93': {'bio/hg38_ALOX5'}, 'bio/CHEMBL3622821': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL499': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL296035': {'bio/hg38_CYP2D6'}, 'bio/PA164754754': {'bio/hg38_CYP2D6'}, 'bio/PA161199368': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL1118': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL1168': {'bio/hg38_ACE'}, 'bio/PA166169881': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL1282': {'bio/hg38_TLR7'}, 'bio/CHEMBL1738797': {'bio/hg38_ALK'}, 'bio/CHEMBL362071': {'bio/hg38_CYP2D6'}, 'bio/PA166175998': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL643': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL645': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL462605': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL1346': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL1290': {'bio/hg38_CYP2D6'}, 'bio/PA164712951': {'bio/hg38_CYP2D6'}, 'bio/PA144614922': {'bio/hg38_CYP2D6'}, 'bio/PA134687942': {'bio/hg38_CYP2D6'}, 'bio/PA165291493': {'bio/hg38_MS4A1'}, 'bio/CHEMBL457': {'bio/hg38_ACE'}, 'bio/CHEMBL668': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL1148': {'bio/hg38_ACE'}, 'bio/PA166184235': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL469': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL1623': {'bio/hg38_CYP2D6'}, 'bio/PA164781375': {'bio/hg38_MS4A1'}, 'bio/PA166122586': {'bio/hg38_MS4A1'}, 'bio/CHEMBL3286830': {'bio/hg38_ALK'}, 'bio/CHEMBL15245': {'bio/hg38_ADRA2A', 'bio/hg38_CYP2D6'}, 'bio/CHEMBL1544': {'bio/hg38_HTR1B'}, 'bio/PA166169883': {'bio/hg38_CD274'}, 'bio/PA164712887': {'bio/hg38_TLR3'}, 'bio/CHEMBL963': {'bio/hg38_CYP2D6'}, 'bio/PA450203': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL2105760': {'bio/hg38_CYP2D6'}, 'bio/CHEMBL667': {'bio/hg38_ACE'}, 'bio/PA166114906': {'bio/hg38_ABL1'}, 'bio/PA166104276': {'bio/hg38_UGT1A8'}, 'bio/PA166129524': {'bio/hg38_ABL1'}, 'bio/PA451776': {'bio/hg38_CYP19A1'}, 'bio/CHEMBL1201336': {'bio/hg38_HLA-B'}, 'bio/PA166184503': {'bio/hg38_HLA-B'}, 'bio/PA164713301': {'bio/hg38_OPRM1'}, 'bio/PA166177510': {'bio/hg38_ABL1'}, 'bio/CHEMBL1289110': {'bio/hg38_OPRM1'}, 'bio/PA166190681': {'bio/hg38_HMBS'}, 'bio/PA164783958': {'bio/hg38_CXCL12'}, 'bio/PA166177229': {'bio/hg38_OPRM1'}, 'bio/PA165290931': {'bio/hg38_MDM2'}, 'bio/PA164744571': {'bio/hg38_SLC30A8'}, 'bio/CHEMBL3989958': {'bio/hg38_IDH1'}, 'bio/PA164712688': {'bio/hg38_NOS1AP'}, 'bio/PA166184501': {'bio/hg38_HLA-B'}, 'bio/PA166131569': {'bio/hg38_CDA'}, 'bio/PA166184505': {'bio/hg38_HLA-B'}, 'bio/CHEMBL279816': {'bio/hg38_HLA-B'}, 'bio/CHEMBL1237021': {'bio/hg38_HTR1A'}, 'bio/PA166114929': {'bio/hg38_ABL1'}, 'bio/PA164712499': {'bio/hg38_EHMT2', 'bio/hg38_HLA-B'}, 'bio/PA166109554': {'bio/hg38_AGTR1'}, 'bio/PA166114904': {'bio/hg38_TNFSF13B'}, 'bio/PA451961': {'bio/hg38_SLC30A8'}, 'bio/CHEMBL20': {'bio/hg38_HLA-B'}, 'bio/CHEMBL634': {'bio/hg38_OPRM1'}, 'bio/CHEMBL80': {'bio/hg38_OPRM1'}, 'bio/PA166129559': {'bio/hg38_CYP19A1'}}\n", - "1023\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "-djueI0eTMJC", - "outputId": "a3b71c69-1c6c-40cf-c6fa-4b02ebe98226", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "source": [ - "len(result)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "4218" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 11 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "e4F28StXeT9r" - }, - "source": [ - "Now lets conduct the same query to find gene targets, but on the treatment compounds we found earlier. We will later compare candidates to the treatment compounds which share gene targets." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "epEk0RgVwaxK", - "outputId": "9df0e01d-ff19-4d94-93f9-d0e27c28dbab", - "colab": { - "background_save": true, - "base_uri": "https://localhost:8080/" - } - }, - "source": [ - "# Find ChemicalCompoundGeneAssociation nodes involving the treatment compounds\n", - "query_str = '''\n", - "SELECT ?cga_dcid ?reference_drug\n", - "WHERE {{\n", - "?reference_drug dcid (\"{0}\") .\n", - "?cga_dcid typeOf ChemicalCompoundGeneAssociation .\n", - "?cga_dcid compoundID ?reference_drug\n", - "}}\n", - "'''\n", - "rows = conduct_query(query_str, treatment_compounds)\n", - "\n", - "gene_to_references = {}\n", - "print(rows)\n", - "\n", - "if not rows:\n", - " print('no reference compound-gene associations found')\n", - "else:\n", - " # extract gene target to treatment compound information\n", - " for row in rows:\n", - " gene = dc.get_property_values([row['?cga_dcid']], 'geneID')[row['?cga_dcid']][0]\n", - " \n", - " # limit to using genome assembly hg38 \n", - " if not gene.startswith('bio/hg38'):\n", - " continue\n", - " # save gene target to treatment compounds mapping\n", - " if gene in gene_to_references:\n", - " gene_to_references[gene].add(row['?reference_drug'])\n", - " else:\n", - " gene_to_references[gene] = {row['?reference_drug']}\n", - "print(gene_to_references)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "\n", - "SELECT ?cga_dcid ?reference_drug\n", - "WHERE {\n", - "?reference_drug dcid (\"bio/CHEMBL1542\" \"bio/CHEMBL90593\" \"bio/CHEMBL635\" \"bio/CHEMBL643\" \"bio/CHEMBL389621\" \"bio/CHEMBL1743068\" \"bio/CHEMBL2109070\" \"bio/CHEMBL1743020\" \"bio/CHEMBL1201587\" \"bio/CHEMBL1201567\" \"bio/CHEMBL116438\" \"bio/CHEMBL930\" \"bio/CHEMBL2108326\" \"bio/CHEMBL866\" \"bio/CHEMBL393220\" \"bio/CHEMBL671\" \"bio/CHEMBL2107614\" \"bio/CHEMBL3833374\" \"bio/CHEMBL113\" \"bio/CHEMBL8\" \"bio/CHEMBL2104987\" \"bio/CHEMBL74415\" \"bio/CHEMBL1742995\" \"bio/CHEMBL1237023\" \"bio/CHEMBL2109511\" \"bio/CHEMBL2108046\" \"bio/CHEMBL3990031\" \"bio/CHEMBL262777\" \"bio/CHEMBL4297252\" \"bio/CHEMBL1464\" \"bio/CHEMBL4297331\" \"bio/CHEMBL450940\" \"bio/CHEMBL4297344\" \"bio/CHEMBL1496\" \"bio/CHEMBL1742996\" \"bio/CHEMBL186141\" \"bio/CHEMBL4297761\" \"bio/CHEMBL1456\" \"bio/CHEMBL4297477\" \"bio/CHEMBL1201507\" \"bio/CHEMBL269732\" \"bio/CHEMBL384467\" \"bio/CHEMBL846\" \"bio/CHEMBL4175981\" \"bio/CHEMBL3990014\" \"bio/CHEMBL444633\" \"bio/CHEMBL1743087\" \"bio/CHEMBL1201581\" \"bio/CHEMBL1201479\" \"bio/CHEMBL460026\" \"bio/CHEMBL1096882\" \"bio/CHEMBL1536\" \"bio/CHEMBL2107779\" \"bio/CHEMBL367149\" \"bio/CHEMBL2021430\" \"bio/CHEMBL1201607\" \"bio/CHEMBL2109465\" \"bio/CHEMBL19019\" \"bio/CHEMBL3622821\" \"bio/CHEMBL6966\" \"bio/CHEMBL852\" \"bio/CHEMBL190461\" \"bio/CHEMBL3301607\" \"bio/CHEMBL2108751\" \"bio/CHEMBL1200796\" \"bio/CHEMBL1169\" \"bio/CHEMBL3137327\" \"bio/CHEMBL25202\" \"bio/CHEMBL1201438\" \"bio/CHEMBL3989751\" \"bio/CHEMBL704\" \"bio/CHEMBL2109606\" \"bio/CHEMBL1743050\" \"bio/CHEMBL1201716\" \"bio/CHEMBL4085457\" \"bio/CHEMBL3990029\" \"bio/CHEMBL3833372\" \"bio/CHEMBL2178578\" \"bio/CHEMBL131\" \"bio/CHEMBL3707374\" \"bio/CHEMBL3137351\" \"bio/CHEMBL98\" \"bio/CHEMBL848\" \"bio/CHEMBL3707247\" \"bio/CHEMBL4297942\" \"bio/CHEMBL1617\" \"bio/CHEMBL1201580\" \"bio/CHEMBL1200574\" \"bio/CHEMBL1201835\" \"bio/CHEMBL595\" \"bio/CHEMBL2109664\" \"bio/CHEMBL4243974\" \"bio/CHEMBL975\" \"bio/CHEMBL1201562\" \"bio/CHEMBL1743015\" \"bio/CHEMBL2364648\" \"bio/CHEMBL1201519\" \"bio/CHEMBL52440\" \"bio/CHEMBL1201823\" \"bio/CHEMBL106\" \"bio/CHEMBL650\" \"bio/CHEMBL221959\" \"bio/CHEMBL1200751\" \"bio/CHEMBL3039505\" \"bio/CHEMBL2108922\" \"bio/CHEMBL1741\" \"bio/CHEMBL4297643\" \"bio/CHEMBL1292\" \"bio/CHEMBL1201670\" \"bio/CHEMBL416\" \"bio/CHEMBL1042\" \"bio/CHEMBL468\" \"bio/CHEMBL1503\" \"bio/CHEMBL2107867\" \"bio/CHEMBL4298111\" \"bio/CHEMBL3707383\" \"bio/CHEMBL1201576\" \"bio/CHEMBL2108589\" \"bio/CHEMBL1201831\" \"bio/CHEMBL1401\" \"bio/CHEMBL137\" \"bio/CHEMBL332750\" \"bio/CHEMBL1293\" \"bio/CHEMBL1213492\" \"bio/CHEMBL2109613\" \"bio/CHEMBL34259\" \"bio/CHEMBL1535\" \"bio/CHEMBL1200699\" \"bio/CHEMBL894\" \"bio/CHEMBL2108811\" \"bio/CHEMBL655\" \"bio/CHEMBL66092\" \"bio/CHEMBL1201621\" \"bio/CHEMBL1370\") .\n", - "?cga_dcid typeOf ChemicalCompoundGeneAssociation .\n", - "?cga_dcid compoundID ?reference_drug\n", - "}\n", - "\n", - "[{'?cga_dcid': 'bio/CGA_CHEMBL866_hg38_IMPDH2', '?reference_drug': 'bio/CHEMBL866'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg19_KCNQ1', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL1741_hg38_CYP3A4', '?reference_drug': 'bio/CHEMBL1741'}, {'?cga_dcid': 'bio/CGA_CHEMBL384467_hg19_CRISPLD2', '?reference_drug': 'bio/CHEMBL384467'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_DROSHA', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_GSTP1', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg19_SUMO4', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL1456_hg19_IL12A', '?reference_drug': 'bio/CHEMBL1456'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_GATA3', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL1096882_hg38_SLCO1B1', '?reference_drug': 'bio/CHEMBL1096882'}, {'?cga_dcid': 'bio/CGA_CHEMBL866_hg38_IMPDH1', '?reference_drug': 'bio/CHEMBL866'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_NOS3', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL1456_hg38_UGT2B7', '?reference_drug': 'bio/CHEMBL1456'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_MTHFD1', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_SLC22A11', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_FGFR4', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg19_CYP2A6', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg19_CRTC2', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL52440_hg19_CYP2D6', '?reference_drug': 'bio/CHEMBL52440'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg19_TLR4', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg38_CAPN10', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL1503_hg38_AHR', '?reference_drug': 'bio/CHEMBL1503'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_ADORA2A-AS1', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg19_FKBP5', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg38_CYP2C8', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL1169_hg19_G6PD', '?reference_drug': 'bio/CHEMBL1169'}, {'?cga_dcid': 'bio/CGA_CHEMBL468_hg38_FGF2', '?reference_drug': 'bio/CHEMBL468'}, {'?cga_dcid': 'bio/CGA_CHEMBL1542_hg19_GSTT1', '?reference_drug': 'bio/CHEMBL1542'}, {'?cga_dcid': 'bio/CGA_CHEMBL384467_hg38_UGT1A1', '?reference_drug': 'bio/CHEMBL384467'}, {'?cga_dcid': 'bio/CGA_CHEMBL866_hg19_IMPDH1', '?reference_drug': 'bio/CHEMBL866'}, {'?cga_dcid': 'bio/CGA_CHEMBL1456_hg19_IMPDH2', '?reference_drug': 'bio/CHEMBL1456'}, {'?cga_dcid': 'bio/CGA_CHEMBL635_hg38_ABCB1', '?reference_drug': 'bio/CHEMBL635'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_SLCO1B1', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg38_DRD2', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg19_EPB41', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_SLC22A6', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL704_hg19_NAT1', '?reference_drug': 'bio/CHEMBL704'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg19_CYP3A7', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_MTHFD1', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL635_hg19_GATA3', '?reference_drug': 'bio/CHEMBL635'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_NALCN', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL1503_hg19_CYP2C19', '?reference_drug': 'bio/CHEMBL1503'}, {'?cga_dcid': 'bio/CGA_CHEMBL1535_hg19_C18orf56', '?reference_drug': 'bio/CHEMBL1535'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_NOS3', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL6966_hg19_NOS1AP', '?reference_drug': 'bio/CHEMBL6966'}, {'?cga_dcid': 'bio/CGA_CHEMBL1503_hg19_CYP2C9', '?reference_drug': 'bio/CHEMBL1503'}, {'?cga_dcid': 'bio/CGA_CHEMBL131_hg38_PNPLA3', '?reference_drug': 'bio/CHEMBL131'}, {'?cga_dcid': 'bio/CGA_CHEMBL635_hg19_TYMS', '?reference_drug': 'bio/CHEMBL635'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg38_CYP2J2', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL1456_hg19_SLCO1B1', '?reference_drug': 'bio/CHEMBL1456'}, {'?cga_dcid': 'bio/CGA_CHEMBL389621_hg19_NR1I2', '?reference_drug': 'bio/CHEMBL389621'}, {'?cga_dcid': 'bio/CGA_CHEMBL1456_hg38_CES1', '?reference_drug': 'bio/CHEMBL1456'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_ATIC', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL468_hg19_CYP2C19', '?reference_drug': 'bio/CHEMBL468'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg19_ANKK1', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL106_hg38_CYP2C19', '?reference_drug': 'bio/CHEMBL106'}, {'?cga_dcid': 'bio/CGA_CHEMBL1096882_hg38_CXCL12', '?reference_drug': 'bio/CHEMBL1096882'}, {'?cga_dcid': 'bio/CGA_CHEMBL468_hg38_CYP2C19', '?reference_drug': 'bio/CHEMBL468'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_NALCN', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL1741_hg38_ABCB1', '?reference_drug': 'bio/CHEMBL1741'}, {'?cga_dcid': 'bio/CGA_CHEMBL389621_hg38_NR1I2', '?reference_drug': 'bio/CHEMBL389621'}, {'?cga_dcid': 'bio/CGA_CHEMBL866_hg19_UGT2B7', '?reference_drug': 'bio/CHEMBL866'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_C18orf56', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL1542_hg38_GSTP1', '?reference_drug': 'bio/CHEMBL1542'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_UGT1A9', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL1542_hg38_TYMS', '?reference_drug': 'bio/CHEMBL1542'}, {'?cga_dcid': 'bio/CGA_CHEMBL635_hg38_GATA3', '?reference_drug': 'bio/CHEMBL635'}, {'?cga_dcid': 'bio/CGA_CHEMBL1456_hg38_CYP2C8', '?reference_drug': 'bio/CHEMBL1456'}, {'?cga_dcid': 'bio/CGA_CHEMBL635_hg38_DOK5', '?reference_drug': 'bio/CHEMBL635'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg19_CAPN10', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_FOXP3', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL1096882_hg38_SLC22A12', '?reference_drug': 'bio/CHEMBL1096882'}, {'?cga_dcid': 'bio/CGA_CHEMBL1503_hg38_NR1I2', '?reference_drug': 'bio/CHEMBL1503'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg38_CCDC22', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL595_hg38_ADIPOQ', '?reference_drug': 'bio/CHEMBL595'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg38_CHRNA5', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL468_hg38_SULT1C4', '?reference_drug': 'bio/CHEMBL468'}, {'?cga_dcid': 'bio/CGA_CHEMBL866_hg38_UGT1A7', '?reference_drug': 'bio/CHEMBL866'}, {'?cga_dcid': 'bio/CGA_CHEMBL848_hg19_CTNNB1', '?reference_drug': 'bio/CHEMBL848'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg38_POR', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL1542_hg38_NUDT15', '?reference_drug': 'bio/CHEMBL1542'}, {'?cga_dcid': 'bio/CGA_CHEMBL389621_hg38_ABCB1', '?reference_drug': 'bio/CHEMBL389621'}, {'?cga_dcid': 'bio/CGA_CHEMBL468_hg38_RPL13', '?reference_drug': 'bio/CHEMBL468'}, {'?cga_dcid': 'bio/CGA_CHEMBL384467_hg38_LINC00251', '?reference_drug': 'bio/CHEMBL384467'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg19_CHRNA5', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL384467_hg38_ABCB1', '?reference_drug': 'bio/CHEMBL384467'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_ABCG2', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL416_hg38_CYP2A6', '?reference_drug': 'bio/CHEMBL416'}, {'?cga_dcid': 'bio/CGA_CHEMBL635_hg38_LINC00251', '?reference_drug': 'bio/CHEMBL635'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_SLCO1B3', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_HLA-G', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL866_hg38_ABCC2', '?reference_drug': 'bio/CHEMBL866'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_MTRR', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_PYGL', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL468_hg19_SPG7', '?reference_drug': 'bio/CHEMBL468'}, {'?cga_dcid': 'bio/CGA_CHEMBL19019_hg19_OPRM1', '?reference_drug': 'bio/CHEMBL19019'}, {'?cga_dcid': 'bio/CGA_CHEMBL384467_hg38_VDR', '?reference_drug': 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'bio/CGA_CHEMBL34259_hg19_PTPRM', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_LINC00251', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_UGT1A6', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_GGH', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL866_hg19_SLCO1B1', '?reference_drug': 'bio/CHEMBL866'}, {'?cga_dcid': 'bio/CGA_CHEMBL1542_hg38_ITPA', '?reference_drug': 'bio/CHEMBL1542'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg19_TCF7L2', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL468_hg38_PPARD', '?reference_drug': 'bio/CHEMBL468'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg19_CYP2B6', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_UGT1A1', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_UGT1A5', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL866_hg19_UGT1A10', '?reference_drug': 'bio/CHEMBL866'}, {'?cga_dcid': 'bio/CGA_CHEMBL468_hg38_XRCC5', '?reference_drug': 'bio/CHEMBL468'}, {'?cga_dcid': 'bio/CGA_CHEMBL1503_hg38_CYP3A5', '?reference_drug': 'bio/CHEMBL1503'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg38_CYP2C19', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL468_hg19_CHST3', '?reference_drug': 'bio/CHEMBL468'}, {'?cga_dcid': 'bio/CGA_CHEMBL131_hg38_ABCB1', '?reference_drug': 'bio/CHEMBL131'}, {'?cga_dcid': 'bio/CGA_CHEMBL1535_hg38_TYMS', '?reference_drug': 'bio/CHEMBL1535'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg38_ANKK1', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg19_NR1I2', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg19_ACE', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_HLA-E', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL635_hg19_DROSHA', '?reference_drug': 'bio/CHEMBL635'}, {'?cga_dcid': 'bio/CGA_CHEMBL866_hg38_HPRT1', '?reference_drug': 'bio/CHEMBL866'}, {'?cga_dcid': 'bio/CGA_CHEMBL6966_hg38_KCNIP1', '?reference_drug': 'bio/CHEMBL6966'}, {'?cga_dcid': 'bio/CGA_CHEMBL1535_hg19_TYMS', '?reference_drug': 'bio/CHEMBL1535'}, {'?cga_dcid': 'bio/CGA_CHEMBL1503_hg38_CYP1A2', '?reference_drug': 'bio/CHEMBL1503'}, {'?cga_dcid': 'bio/CGA_CHEMBL389621_hg38_CYP3A4', '?reference_drug': 'bio/CHEMBL389621'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg38_CYP2A6', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_ABCC3', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_ADORA2A-AS1', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL8_hg19_CYP2D6', '?reference_drug': 'bio/CHEMBL8'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_FOLH1', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL866_hg19_IMPDH2', '?reference_drug': 'bio/CHEMBL866'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_ITPA', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_TPMT', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL384467_hg38_CRISPLD2', '?reference_drug': 'bio/CHEMBL384467'}, {'?cga_dcid': 'bio/CGA_CHEMBL468_hg38_SPG7', '?reference_drug': 'bio/CHEMBL468'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg38_FPGS', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL269732_hg38_CRTC2', '?reference_drug': 'bio/CHEMBL269732'}, {'?cga_dcid': 'bio/CGA_CHEMBL595_hg38_CYP2C9', '?reference_drug': 'bio/CHEMBL595'}, {'?cga_dcid': 'bio/CGA_CHEMBL894_hg38_ACE', '?reference_drug': 'bio/CHEMBL894'}, {'?cga_dcid': 'bio/CGA_CHEMBL34259_hg19_MTR', '?reference_drug': 'bio/CHEMBL34259'}, {'?cga_dcid': 'bio/CGA_CHEMBL635_hg19_C18orf56', '?reference_drug': 'bio/CHEMBL635'}]\n", - "{'bio/hg38_IMPDH2': {'bio/CHEMBL1456', 'bio/CHEMBL866'}, 'bio/hg38_CYP3A4': {'bio/CHEMBL655', 'bio/CHEMBL1503', 'bio/CHEMBL269732', 'bio/CHEMBL866', 'bio/CHEMBL1741', 'bio/CHEMBL131', 'bio/CHEMBL389621', 'bio/CHEMBL6966', 'bio/CHEMBL52440'}, 'bio/hg38_DROSHA': {'bio/CHEMBL34259', 'bio/CHEMBL635'}, 'bio/hg38_GSTP1': {'bio/CHEMBL1542', 'bio/CHEMBL34259'}, 'bio/hg38_GATA3': {'bio/CHEMBL384467', 'bio/CHEMBL34259', 'bio/CHEMBL635'}, 'bio/hg38_SLCO1B1': {'bio/CHEMBL1456', 'bio/CHEMBL1096882', 'bio/CHEMBL34259', 'bio/CHEMBL866'}, 'bio/hg38_IMPDH1': {'bio/CHEMBL1456', 'bio/CHEMBL866'}, 'bio/hg38_UGT2B7': {'bio/CHEMBL1456', 'bio/CHEMBL866'}, 'bio/hg38_MTHFD1': {'bio/CHEMBL34259'}, 'bio/hg38_FGFR4': {'bio/CHEMBL34259'}, 'bio/hg38_CAPN10': {'bio/CHEMBL269732'}, 'bio/hg38_AHR': {'bio/CHEMBL1503'}, 'bio/hg38_CYP2C8': {'bio/CHEMBL1456', 'bio/CHEMBL595', 'bio/CHEMBL269732', 'bio/CHEMBL866'}, 'bio/hg38_FGF2': {'bio/CHEMBL468', 'bio/CHEMBL848'}, 'bio/hg38_UGT1A1': {'bio/CHEMBL34259', 'bio/CHEMBL384467'}, 'bio/hg38_ABCB1': {'bio/CHEMBL655', 'bio/CHEMBL1503', 'bio/CHEMBL269732', 'bio/CHEMBL384467', 'bio/CHEMBL34259', 'bio/CHEMBL848', 'bio/CHEMBL650', 'bio/CHEMBL1741', 'bio/CHEMBL1456', 'bio/CHEMBL131', 'bio/CHEMBL389621', 'bio/CHEMBL6966', 'bio/CHEMBL635'}, 'bio/hg38_DRD2': {'bio/CHEMBL894'}, 'bio/hg38_SLC22A6': {'bio/CHEMBL34259'}, 'bio/hg38_NOS3': {'bio/CHEMBL34259'}, 'bio/hg38_PNPLA3': {'bio/CHEMBL131'}, 'bio/hg38_CYP2J2': {'bio/CHEMBL269732'}, 'bio/hg38_CES1': {'bio/CHEMBL1456', 'bio/CHEMBL866'}, 'bio/hg38_ATIC': {'bio/CHEMBL34259'}, 'bio/hg38_CYP2C19': {'bio/CHEMBL1503', 'bio/CHEMBL269732', 'bio/CHEMBL106', 'bio/CHEMBL894', 'bio/CHEMBL468', 'bio/CHEMBL635'}, 'bio/hg38_CXCL12': {'bio/CHEMBL1096882', 'bio/CHEMBL635'}, 'bio/hg38_NALCN': {'bio/CHEMBL34259'}, 'bio/hg38_NR1I2': {'bio/CHEMBL1503', 'bio/CHEMBL269732', 'bio/CHEMBL444633', 'bio/CHEMBL384467', 'bio/CHEMBL389621', 'bio/CHEMBL595'}, 'bio/hg38_UGT1A9': {'bio/CHEMBL1456', 'bio/CHEMBL34259', 'bio/CHEMBL866'}, 'bio/hg38_TYMS': {'bio/CHEMBL1542', 'bio/CHEMBL34259', 'bio/CHEMBL384467', 'bio/CHEMBL1535', 'bio/CHEMBL635'}, 'bio/hg38_DOK5': {'bio/CHEMBL34259', 'bio/CHEMBL384467', 'bio/CHEMBL635'}, 'bio/hg38_SLC22A12': {'bio/CHEMBL1096882'}, 'bio/hg38_CCDC22': {'bio/CHEMBL269732'}, 'bio/hg38_ADIPOQ': {'bio/CHEMBL595'}, 'bio/hg38_CHRNA5': {'bio/CHEMBL894'}, 'bio/hg38_SULT1C4': {'bio/CHEMBL468'}, 'bio/hg38_UGT1A7': {'bio/CHEMBL34259', 'bio/CHEMBL866'}, 'bio/hg38_POR': {'bio/CHEMBL655', 'bio/CHEMBL269732'}, 'bio/hg38_NUDT15': {'bio/CHEMBL1542'}, 'bio/hg38_RPL13': {'bio/CHEMBL468'}, 'bio/hg38_LINC00251': {'bio/CHEMBL34259', 'bio/CHEMBL384467', 'bio/CHEMBL635'}, 'bio/hg38_ABCG2': {'bio/CHEMBL34259'}, 'bio/hg38_CYP2A6': {'bio/CHEMBL1503', 'bio/CHEMBL113', 'bio/CHEMBL894', 'bio/CHEMBL416', 'bio/CHEMBL137'}, 'bio/hg38_SLCO1B3': {'bio/CHEMBL1456', 'bio/CHEMBL34259', 'bio/CHEMBL866'}, 'bio/hg38_ABCC2': {'bio/CHEMBL269732', 'bio/CHEMBL34259', 'bio/CHEMBL866'}, 'bio/hg38_MTRR': {'bio/CHEMBL34259'}, 'bio/hg38_VDR': {'bio/CHEMBL655', 'bio/CHEMBL384467'}, 'bio/hg38_KIR2DS4': {'bio/CHEMBL34259'}, 'bio/hg38_SACM1L': {'bio/CHEMBL894'}, 'bio/hg38_MIR618': {'bio/CHEMBL34259', 'bio/CHEMBL635'}, 'bio/hg38_BMP7': {'bio/CHEMBL34259', 'bio/CHEMBL384467', 'bio/CHEMBL635'}, 'bio/hg38_MIR449B': {'bio/CHEMBL34259', 'bio/CHEMBL635'}, 'bio/hg38_ABCC4': {'bio/CHEMBL1542', 'bio/CHEMBL34259'}, 'bio/hg38_C18orf56': {'bio/CHEMBL1542', 'bio/CHEMBL34259', 'bio/CHEMBL384467', 'bio/CHEMBL1535', 'bio/CHEMBL635'}, 'bio/hg38_CYP1A2': {'bio/CHEMBL1503', 'bio/CHEMBL113'}, 'bio/hg38_HLA-DQA1': {'bio/CHEMBL1542'}, 'bio/hg38_COMT': {'bio/CHEMBL894'}, 'bio/hg38_HSD11B1': {'bio/CHEMBL269732'}, 'bio/hg38_MIR595': {'bio/CHEMBL34259'}, 'bio/hg38_TPMT': {'bio/CHEMBL1542', 'bio/CHEMBL34259', 'bio/CHEMBL635'}, 'bio/hg38_CYP2E1': {'bio/CHEMBL1096882', 'bio/CHEMBL1503'}, 'bio/hg38_AOX1': {'bio/CHEMBL1542'}, 'bio/hg38_CYP2D6': {'bio/CHEMBL1503', 'bio/CHEMBL643', 'bio/CHEMBL8', 'bio/CHEMBL3622821', 'bio/CHEMBL52440'}, 'bio/hg38_FMO3': {'bio/CHEMBL269732'}, 'bio/hg38_G6PD': {'bio/CHEMBL1169', 'bio/CHEMBL262777', 'bio/CHEMBL8', 'bio/CHEMBL595', 'bio/CHEMBL1535'}, 'bio/hg38_IL12A': {'bio/CHEMBL1456'}, 'bio/hg38_ABCC6': {'bio/CHEMBL468'}, 'bio/hg38_SLC22A11': {'bio/CHEMBL34259'}, 'bio/hg38_AMPD1': {'bio/CHEMBL34259'}, 'bio/hg38_DBH': {'bio/CHEMBL19019', 'bio/CHEMBL894'}, 'bio/hg38_SLC19A1': {'bio/CHEMBL34259'}, 'bio/hg38_CTLA4': {'bio/CHEMBL384467', 'bio/CHEMBL635', 'bio/CHEMBL269732'}, 'bio/hg38_CYP3A5': {'bio/CHEMBL655', 'bio/CHEMBL1503', 'bio/CHEMBL269732', 'bio/CHEMBL1741', 'bio/CHEMBL595', 'bio/CHEMBL866'}, 'bio/hg38_GSTT1': {'bio/CHEMBL468', 'bio/CHEMBL1542'}, 'bio/hg38_NAT1': {'bio/CHEMBL704'}, 'bio/hg38_ITPA': {'bio/CHEMBL1542', 'bio/CHEMBL34259'}, 'bio/hg38_NR1H3': {'bio/CHEMBL6966'}, 'bio/hg38_PTPRD': {'bio/CHEMBL595', 'bio/CHEMBL6966'}, 'bio/hg38_CYP2B6': {'bio/CHEMBL655', 'bio/CHEMBL894', 'bio/CHEMBL1096882'}, 'bio/hg38_SERPINE1': {'bio/CHEMBL384467'}, 'bio/hg38_PACSIN2': {'bio/CHEMBL34259'}, 'bio/hg38_GALR1': {'bio/CHEMBL894'}, 'bio/hg38_GRK4': {'bio/CHEMBL6966'}, 'bio/hg38_ARID5B': {'bio/CHEMBL34259'}, 'bio/hg38_MTHFR': {'bio/CHEMBL34259'}, 'bio/hg38_CYP2D7': {'bio/CHEMBL52440'}, 'bio/hg38_UGT1A8': {'bio/CHEMBL1456', 'bio/CHEMBL34259', 'bio/CHEMBL269732', 'bio/CHEMBL866'}, 'bio/hg38_ENOSF1': {'bio/CHEMBL34259'}, 'bio/hg38_SLC18A2': {'bio/CHEMBL894'}, 'bio/hg38_FOXP3': {'bio/CHEMBL34259', 'bio/CHEMBL269732'}, 'bio/hg38_OPRM1': {'bio/CHEMBL19019'}, 'bio/hg38_GSTM1': {'bio/CHEMBL1542'}, 'bio/hg38_PPP3CA': {'bio/CHEMBL269732'}, 'bio/hg38_UGT1A10': {'bio/CHEMBL34259', 'bio/CHEMBL866'}, 'bio/hg38_UGT1A4': {'bio/CHEMBL655', 'bio/CHEMBL34259'}, 'bio/hg38_C6': {'bio/CHEMBL269732'}, 'bio/hg38_PPARA': {'bio/CHEMBL269732'}, 'bio/hg38_ADORA2A': {'bio/CHEMBL34259', 'bio/CHEMBL113'}, 'bio/hg38_FKBP5': {'bio/CHEMBL894'}, 'bio/hg38_MTR': {'bio/CHEMBL34259'}, 'bio/hg38_CYP3A': {'bio/CHEMBL655', 'bio/CHEMBL269732'}, 'bio/hg38_TLR4': {'bio/CHEMBL34259', 'bio/CHEMBL269732'}, 'bio/hg38_KLRC1': {'bio/CHEMBL34259'}, 'bio/hg38_IL10': {'bio/CHEMBL1456', 'bio/CHEMBL269732'}, 'bio/hg38_CYP2C9': {'bio/CHEMBL595', 'bio/CHEMBL1503', 'bio/CHEMBL106'}, 'bio/hg38_IL3': {'bio/CHEMBL269732'}, 'bio/hg38_CTNNB1': {'bio/CHEMBL468', 'bio/CHEMBL384467', 'bio/CHEMBL848'}, 'bio/hg38_TSPYL1': {'bio/CHEMBL131'}, 'bio/hg38_CHST3': {'bio/CHEMBL468'}, 'bio/hg38_SULT2B1': {'bio/CHEMBL1096882'}, 'bio/hg38_EPB41': {'bio/CHEMBL894'}, 'bio/hg38_DHFR': {'bio/CHEMBL34259'}, 'bio/hg38_SNORD68': {'bio/CHEMBL468'}, 'bio/hg38_IL1B': {'bio/CHEMBL1503'}, 'bio/hg38_SLC6A4': {'bio/CHEMBL894'}, 'bio/hg38_KCNMB1': {'bio/CHEMBL6966'}, 'bio/hg38_SLC46A1': {'bio/CHEMBL34259'}, 'bio/hg38_PYGL': {'bio/CHEMBL384467', 'bio/CHEMBL34259'}, 'bio/hg38_KLRD1': {'bio/CHEMBL34259'}, 'bio/hg38_TNF': {'bio/CHEMBL1456'}, 'bio/hg38_UGT1A3': {'bio/CHEMBL34259'}, 'bio/hg38_RYR1': {'bio/CHEMBL113'}, 'bio/hg38_KCNJ11': {'bio/CHEMBL269732'}, 'bio/hg38_ABCC1': {'bio/CHEMBL34259'}, 'bio/hg38_DDRGK1': {'bio/CHEMBL1542'}, 'bio/hg38_CYP3A7': {'bio/CHEMBL269732'}, 'bio/hg38_HLA-DRB1': {'bio/CHEMBL1542'}, 'bio/hg38_SLC10A2': {'bio/CHEMBL468'}, 'bio/hg38_CACNA1C': {'bio/CHEMBL6966'}, 'bio/hg38_CCND1': {'bio/CHEMBL34259'}, 'bio/hg38_GSTA1': {'bio/CHEMBL635'}, 'bio/hg38_HLA-C': {'bio/CHEMBL34259'}, 'bio/hg38_TCF7L2': {'bio/CHEMBL269732'}, 'bio/hg38_SLC22A8': {'bio/CHEMBL34259'}, 'bio/hg38_HLA-A': {'bio/CHEMBL262777'}, 'bio/hg38_IL18': {'bio/CHEMBL269732'}, 'bio/hg38_GGH': {'bio/CHEMBL34259'}, 'bio/hg38_ERCC1': {'bio/CHEMBL468'}, 'bio/hg38_ZSCAN25': {'bio/CHEMBL269732'}, 'bio/hg38_SPECC1L': {'bio/CHEMBL34259'}, 'bio/hg38_UGT1A6': {'bio/CHEMBL34259'}, 'bio/hg38_CYP4B1': {'bio/CHEMBL468'}, 'bio/hg38_TNFAIP3': {'bio/CHEMBL34259'}, 'bio/hg38_SLC22A9': {'bio/CHEMBL34259'}, 'bio/hg38_KCNQ1': {'bio/CHEMBL269732'}, 'bio/hg38_SHMT1': {'bio/CHEMBL34259'}, 'bio/hg38_FOLR1': {'bio/CHEMBL34259'}, 'bio/hg38_NAT2': {'bio/CHEMBL468', 'bio/CHEMBL113'}, 'bio/hg38_PTPRM': {'bio/CHEMBL34259'}, 'bio/hg38_ATP5F1E': {'bio/CHEMBL34259'}, 'bio/hg38_CHD4': {'bio/CHEMBL98'}, 'bio/hg38_ATP7A': {'bio/CHEMBL468'}, 'bio/hg38_HTR2A': {'bio/CHEMBL894'}, 'bio/hg38_OPRD1': {'bio/CHEMBL19019'}, 'bio/hg38_CES2': {'bio/CHEMBL1456', 'bio/CHEMBL866'}, 'bio/hg38_NOD2': {'bio/CHEMBL269732'}, 'bio/hg38_FTO': {'bio/CHEMBL1542'}, 'bio/hg38_HLA-G': {'bio/CHEMBL34259'}, 'bio/hg38_SLC16A7': {'bio/CHEMBL34259'}, 'bio/hg38_DSE': {'bio/CHEMBL131'}, 'bio/hg38_SUMO4': {'bio/CHEMBL269732'}, 'bio/hg38_SLCO1A2': {'bio/CHEMBL34259'}, 'bio/hg38_PPARG': {'bio/CHEMBL595'}, 'bio/hg38_SOD2': {'bio/CHEMBL34259'}, 'bio/hg38_PLEKHH2': {'bio/CHEMBL6966'}, 'bio/hg38_NOS1AP': {'bio/CHEMBL6966'}, 'bio/hg38_DRD1': {'bio/CHEMBL894'}, 'bio/hg38_PPARD': {'bio/CHEMBL468'}, 'bio/hg38_UGT1A5': {'bio/CHEMBL34259'}, 'bio/hg38_XRCC5': {'bio/CHEMBL468'}, 'bio/hg38_ANKK1': {'bio/CHEMBL894'}, 'bio/hg38_HLA-E': {'bio/CHEMBL34259'}, 'bio/hg38_HPRT1': {'bio/CHEMBL866'}, 'bio/hg38_KCNIP1': {'bio/CHEMBL6966'}, 'bio/hg38_ABCC3': {'bio/CHEMBL34259'}, 'bio/hg38_ADORA2A-AS1': {'bio/CHEMBL34259'}, 'bio/hg38_FOLH1': {'bio/CHEMBL34259'}, 'bio/hg38_CRISPLD2': {'bio/CHEMBL384467'}, 'bio/hg38_SPG7': {'bio/CHEMBL468'}, 'bio/hg38_FPGS': {'bio/CHEMBL34259'}, 'bio/hg38_CRTC2': {'bio/CHEMBL269732'}, 'bio/hg38_ACE': {'bio/CHEMBL894'}}\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "lsHOs0qBDgpP" - }, - "source": [ - "## Filter and Split Candidates\n", - "After creating a list of candidate drugs, we need to remove any drugs that have been already established as treatment or have been declared as contraindications to the drug. We are left with a set of filtered candidate compounds that might be tested to treat the given disease.\n", - "\n", - "Additionally, we are splitting the candidates into two groups:\n", - "* The first group is comprised of candidates that do not share any gene targets with any of the treatment compounds. These candidates will remain unranked as we do not have a basis to compare them to the treatment compounds with. \n", - "\n", - "* The second group is comprised of the candidates that share at least one gene target with a treatment compound. In the next section, we will be ranking these compounds by comparing their structural similiarity to the treatment compounds they share a gene target with." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "R1IyfS6OKOVb", - "outputId": "1aec41d3-7ed3-4e02-9d37-a7f0b85ad114", - "colab": { - "background_save": true - } - }, - "source": [ - "candidates = list(candidate_to_genes.keys()) # all candidates\n", - "candidate_to_established_target = defaultdict(list) # group of candidates to be ranked\n", - "candidate_to_novel_target = defaultdict(list) # group of candidates to remain unranked\n", - "\n", - "# determine which group each candidate falls under\n", - "for candidate in candidates:\n", - " if (candidate in treatment_compounds) or (candidate in inadvisable_compounds):\n", - " continue\n", - " gene_targets = list(candidate_to_genes[candidate])\n", - " for gene_target in gene_targets:\n", - " # check if gene is targeted by a treatment compound\n", - " if gene_target in gene_to_references:\n", - " candidate_to_established_target[candidate].append(gene_target)\n", - " # otherwise add to list of candidates that shall remain unranked\n", - " else:\n", - " candidate_to_novel_target[candidate].append(gene_target)\n", - "\n", - "# candidates that share targets with reference compounds:\n", - "print(candidate_to_established_target)\n", - "print(len(candidate_to_established_target))\n", - "\n", - "# candidates with novel gene targets:\n", - "print(candidate_to_novel_target)\n", - "print(len(candidate_to_novel_target))\n", - "print('\\n')\n", - "# create dataframe to store and print the unranked candidates\n", - "print('Unranked Candidates with Novel Gene Targets:')\n", - "unranked_candidate_df = pd.DataFrame(\n", - " [(key, L) for (key, L) in candidate_to_novel_target.items()], \n", - " columns=['candidate_dcid', 'gene_target_list'])\n", - "unranked_candidate_df" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "defaultdict(, {'bio/CHEMBL960': ['bio/hg38_CYP1A2'], 'bio/CHEMBL350239': ['bio/hg38_ABCG2', 'bio/hg38_SLCO1B1', 'bio/hg38_CYP3A5', 'bio/hg38_CYP2C8', 'bio/hg38_ACE', 'bio/hg38_CYP2C9', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_NR1I2', 'bio/hg38_UGT1A1', 'bio/hg38_ABCB1', 'bio/hg38_CYP2C19', 'bio/hg38_HLA-DRB1'], 'bio/PA164713366': ['bio/hg38_CTLA4', 'bio/hg38_HLA-DRB1', 'bio/hg38_HLA-C', 'bio/hg38_TNFAIP3', 'bio/hg38_TNF', 'bio/hg38_TLR4', 'bio/hg38_IL1B'], 'bio/CHEMBL1908360': ['bio/hg38_CYP3A5', 'bio/hg38_CYP2C8', 'bio/hg38_CYP3A4', 'bio/hg38_ABCB1', 'bio/hg38_FGFR4'], 'bio/CHEMBL83': ['bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP1A2', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2C9', 'bio/hg38_CYP2D6', 'bio/hg38_NR1I2', 'bio/hg38_ABCB1', 'bio/hg38_CYP2C19', 'bio/hg38_CYP2B6'], 'bio/CHEMBL481': ['bio/hg38_UGT1A6', 'bio/hg38_ABCC1', 'bio/hg38_ABCB1', 'bio/hg38_GSTM1', 'bio/hg38_SLCO1B1', 'bio/hg38_ABCG2', 'bio/hg38_VDR', 'bio/hg38_SHMT1', 'bio/hg38_CYP2A6', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_ABCC4', 'bio/hg38_TYMS', 'bio/hg38_NR1I2', 'bio/hg38_UGT1A1', 'bio/hg38_CES2'], 'bio/CHEMBL1330': ['bio/hg38_OPRM1', 'bio/hg38_UGT1A1'], 'bio/PA449014': ['bio/hg38_MTR', 'bio/hg38_ABCC3', 'bio/hg38_GSTA1', 'bio/hg38_ABCB1', 'bio/hg38_COMT', 'bio/hg38_CYP2E1', 'bio/hg38_GSTM1', 'bio/hg38_NAT2', 'bio/hg38_TPMT', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_ABCC4', 'bio/hg38_TYMS', 'bio/hg38_GSTP1', 'bio/hg38_NR1I2', 'bio/hg38_MTHFR'], 'bio/PA451743': ['bio/hg38_HLA-DRB1', 'bio/hg38_CYP3A4', 'bio/hg38_GSTM1'], 'bio/CHEMBL1329': ['bio/hg38_UGT1A1'], 'bio/CHEMBL2103875': ['bio/hg38_G6PD'], 'bio/PA452639': ['bio/hg38_TNF', 'bio/hg38_KLRD1', 'bio/hg38_KLRC1', 'bio/hg38_HLA-DRB1', 'bio/hg38_IL1B', 'bio/hg38_HLA-E'], 'bio/CHEMBL428647': ['bio/hg38_SOD2', 'bio/hg38_ABCC1', 'bio/hg38_ABCB1', 'bio/hg38_OPRM1', 'bio/hg38_GSTM1', 'bio/hg38_ABCG2', 'bio/hg38_SLCO1B1', 'bio/hg38_CYP2C8', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_TYMS', 'bio/hg38_NR1I2'], 'bio/CHEMBL1093458': ['bio/hg38_CYP3A5', 'bio/hg38_CYP2C9', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_CYP2C19'], 'bio/CHEMBL941': ['bio/hg38_SLCO1A2', 'bio/hg38_ABCB1', 'bio/hg38_CYP1A2', 'bio/hg38_GSTM1', 'bio/hg38_CYP2B6', 'bio/hg38_ABCG2', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_ABCC4'], 'bio/CHEMBL612': ['bio/hg38_CYP2D6', 'bio/hg38_DRD1', 'bio/hg38_OPRM1', 'bio/hg38_DRD2'], 'bio/CHEMBL1522': ['bio/hg38_CYP3A5'], 'bio/CHEMBL1393': ['bio/hg38_ACE', 'bio/hg38_NOS3', 'bio/hg38_NR1I2', 'bio/hg38_ABCB1'], 'bio/PA452632': ['bio/hg38_CYP2C9', 'bio/hg38_CYP3A4', 'bio/hg38_ABCB1', 'bio/hg38_CYP2C19'], 'bio/PA448803': ['bio/hg38_MTR', 'bio/hg38_OPRM1', 'bio/hg38_CYP2C8', 'bio/hg38_HLA-C', 'bio/hg38_TNF', 'bio/hg38_CYP3A5', 'bio/hg38_TYMS', 'bio/hg38_UGT1A1', 'bio/hg38_MTHFR'], 'bio/PA164712505': ['bio/hg38_NAT2', 'bio/hg38_UGT1A1', 'bio/hg38_ABCB1', 'bio/hg38_GSTM1', 'bio/hg38_CYP2B6'], 'bio/CHEMBL1163': ['bio/hg38_SLCO1B1', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_NR1I2', 'bio/hg38_UGT1A1', 'bio/hg38_ABCB1', 'bio/hg38_CYP2C19'], 'bio/PA131548935': ['bio/hg38_DRD1'], 'bio/CHEMBL25': ['bio/hg38_UGT1A6', 'bio/hg38_G6PD', 'bio/hg38_ACE', 'bio/hg38_CYP2C9', 'bio/hg38_PPARG', 'bio/hg38_HLA-DRB1', 'bio/hg38_NAT2', 'bio/hg38_HLA-DQA1', 'bio/hg38_CYP2C19', 'bio/hg38_CYP2D6', 'bio/hg38_IL1B', 'bio/hg38_NOS3'], 'bio/CHEMBL81': ['bio/hg38_UGT1A8', 'bio/hg38_VDR', 'bio/hg38_CYP2D6', 'bio/hg38_UGT1A1'], 'bio/CHEMBL1234004': ['bio/hg38_COMT', 'bio/hg38_FKBP5', 'bio/hg38_ABCB1', 'bio/hg38_DRD1'], 'bio/CHEMBL92': ['bio/hg38_ABCC1', 'bio/hg38_SLC10A2', 'bio/hg38_ABCB1', 'bio/hg38_PPARD', 'bio/hg38_OPRM1', 'bio/hg38_SPG7', 'bio/hg38_GSTM1', 'bio/hg38_ATP7A', 'bio/hg38_ABCG2', 'bio/hg38_SLCO1B1', 'bio/hg38_NAT2', 'bio/hg38_CYP2A6', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_TYMS', 'bio/hg38_NR1I2'], 'bio/CHEMBL489': ['bio/hg38_CYP3A5', 'bio/hg38_CYP2C9', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_CYP2C19'], 'bio/CHEMBL1643': ['bio/hg38_SLC6A4', 'bio/hg38_VDR', 'bio/hg38_HLA-C', 'bio/hg38_IL18', 'bio/hg38_FTO', 'bio/hg38_HLA-A', 'bio/hg38_UGT1A1', 'bio/hg38_ITPA'], 'bio/CHEMBL649': ['bio/hg38_SLCO1A2'], 'bio/CHEMBL1241951': ['bio/hg38_SLCO1B1', 'bio/hg38_UGT1A1'], 'bio/PA166114911': ['bio/hg38_G6PD', 'bio/hg38_HLA-DRB1'], 'bio/CHEMBL723': ['bio/hg38_CYP2C9', 'bio/hg38_CYP2D6', 'bio/hg38_UGT1A1', 'bio/hg38_ABCB1', 'bio/hg38_CYP2C19'], 'bio/CHEMBL1399': ['bio/hg38_ABCB1'], 'bio/PA449515': ['bio/hg38_TNF', 'bio/hg38_KLRD1', 'bio/hg38_KLRC1', 'bio/hg38_HLA-DRB1', 'bio/hg38_HLA-E'], 'bio/PA449456': ['bio/hg38_SLCO1B1', 'bio/hg38_ACE', 'bio/hg38_CYP3A4', 'bio/hg38_NOS3'], 'bio/CHEMBL185': ['bio/hg38_CCND1', 'bio/hg38_HLA-G', 'bio/hg38_ABCB1', 'bio/hg38_FGFR4', 'bio/hg38_GSTM1', 'bio/hg38_ABCG2', 'bio/hg38_SLCO1B1', 'bio/hg38_CYP2C8', 'bio/hg38_SHMT1', 'bio/hg38_TPMT', 'bio/hg38_CYP2A6', 'bio/hg38_CYP2C19', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_ABCC4', 'bio/hg38_TYMS', 'bio/hg38_NOS3', 'bio/hg38_GSTP1', 'bio/hg38_UGT1A1', 'bio/hg38_MTHFR'], 'bio/PA164712308': ['bio/hg38_ACE', 'bio/hg38_NOS3'], 'bio/CHEMBL517': ['bio/hg38_CYP2D6'], 'bio/CHEMBL85': ['bio/hg38_HTR2A', 'bio/hg38_UGT1A6', 'bio/hg38_ANKK1', 'bio/hg38_ABCB1', 'bio/hg38_COMT', 'bio/hg38_CYP2C9', 'bio/hg38_CYP2E1', 'bio/hg38_DRD2', 'bio/hg38_UGT1A8', 'bio/hg38_CYP2C19', 'bio/hg38_SLC6A4', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_NR1I2', 'bio/hg38_UGT1A1'], 'bio/CHEMBL191': ['bio/hg38_CYP3A5', 'bio/hg38_CYP2C9', 'bio/hg38_CYP3A4', 'bio/hg38_UGT1A1', 'bio/hg38_ABCB1'], 'bio/CHEMBL1390': ['bio/hg38_CYP3A5', 'bio/hg38_VDR'], 'bio/CHEMBL640': ['bio/hg38_NAT2'], 'bio/CHEMBL20883': ['bio/hg38_CYP2A6', 'bio/hg38_TYMS'], 'bio/PA164924493': ['bio/hg38_CYP3A5', 'bio/hg38_CYP3A4', 'bio/hg38_UGT1A1', 'bio/hg38_CYP2C19'], 'bio/CHEMBL554': ['bio/hg38_CCND1', 'bio/hg38_HLA-DQA1', 'bio/hg38_HLA-DRB1'], 'bio/CHEMBL118': ['bio/hg38_CYP2C9', 'bio/hg38_PPARG', 'bio/hg38_CYP2C8', 'bio/hg38_CACNA1C', 'bio/hg38_KCNQ1', 'bio/hg38_CTNNB1', 'bio/hg38_CYP2C19', 'bio/hg38_CYP3A5', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6'], 'bio/CHEMBL1201258': ['bio/hg38_ABCC2', 'bio/hg38_GGH', 'bio/hg38_DHFR', 'bio/hg38_TYMS', 'bio/hg38_MTHFR'], 'bio/PA166115442': ['bio/hg38_UGT1A6', 'bio/hg38_CYP2A6', 'bio/hg38_UGT1A1'], 'bio/PA10004': ['bio/hg38_TNF', 'bio/hg38_KLRD1', 'bio/hg38_KLRC1', 'bio/hg38_HLA-DRB1', 'bio/hg38_HLA-E'], 'bio/CHEMBL1336': ['bio/hg38_ABCB1', 'bio/hg38_CYP2C9', 'bio/hg38_CYP2B6', 'bio/hg38_SLCO1B1', 'bio/hg38_CYP2C8', 'bio/hg38_TNF', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_NOS3', 'bio/hg38_UGT1A1'], 'bio/CHEMBL1431': ['bio/hg38_KCNJ11', 'bio/hg38_PPARA', 'bio/hg38_NR1I2', 'bio/hg38_CAPN10'], 'bio/CHEMBL796': ['bio/hg38_SLC6A4', 'bio/hg38_GGH', 'bio/hg38_COMT', 'bio/hg38_CYP2D6', 'bio/hg38_ABCB1', 'bio/hg38_DRD2', 'bio/hg38_DRD1'], 'bio/CHEMBL3189058': ['bio/hg38_CYP2D6'], 'bio/CHEMBL656': ['bio/hg38_CYP3A5', 'bio/hg38_COMT', 'bio/hg38_CYP2D6', 'bio/hg38_OPRD1', 'bio/hg38_ABCB1', 'bio/hg38_OPRM1'], 'bio/CHEMBL54': ['bio/hg38_ANKK1', 'bio/hg38_ABCB1', 'bio/hg38_DRD1', 'bio/hg38_COMT', 'bio/hg38_DRD2', 'bio/hg38_CACNA1C', 'bio/hg38_CYP3A5', 'bio/hg38_ARID5B', 'bio/hg38_SLC6A4', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6'], 'bio/CHEMBL672': ['bio/hg38_SLCO1B1', 'bio/hg38_CYP3A5', 'bio/hg38_PPARA', 'bio/hg38_HLA-A'], 'bio/CHEMBL88': ['bio/hg38_SOD2', 'bio/hg38_ABCC3', 'bio/hg38_GSTA1', 'bio/hg38_ABCB1', 'bio/hg38_BMP7', 'bio/hg38_CXCL12', 'bio/hg38_DROSHA', 'bio/hg38_CYP2C9', 'bio/hg38_CYP2E1', 'bio/hg38_FGFR4', 'bio/hg38_GSTM1', 'bio/hg38_CYP2B6', 'bio/hg38_ABCG2', 'bio/hg38_SLCO1B1', 'bio/hg38_CYP2C8', 'bio/hg38_NAT2', 'bio/hg38_GATA3', 'bio/hg38_TPMT', 'bio/hg38_CYP2A6', 'bio/hg38_CTNNB1', 'bio/hg38_CYP2C19', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_ABCC4', 'bio/hg38_TYMS', 'bio/hg38_NOS3', 'bio/hg38_GSTP1', 'bio/hg38_NR1I2'], 'bio/CHEMBL1487': ['bio/hg38_ABCB1', 'bio/hg38_ACE', 'bio/hg38_CYP2C9', 'bio/hg38_HLA-DRB1', 'bio/hg38_ABCG2', 'bio/hg38_SLCO1B1', 'bio/hg38_CYP2C8', 'bio/hg38_CYP2C19', 'bio/hg38_TNF', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_NR1I2', 'bio/hg38_UGT1A1'], 'bio/CHEMBL7252': ['bio/hg38_ABCB1', 'bio/hg38_CYP1A2', 'bio/hg38_CYP2C9', 'bio/hg38_VDR', 'bio/hg38_CYP2C19', 'bio/hg38_CYP3A5', 'bio/hg38_CYP3A4', 'bio/hg38_NR1I2', 'bio/hg38_UGT1A1'], 'bio/PA165958521': ['bio/hg38_UGT1A6', 'bio/hg38_UGT1A8', 'bio/hg38_AOX1', 'bio/hg38_UGT1A1'], 'bio/PA133950441': ['bio/hg38_SLCO1A2', 'bio/hg38_HLA-G', 'bio/hg38_ABCB1', 'bio/hg38_ACE', 'bio/hg38_CYP2C9', 'bio/hg38_HLA-DRB1', 'bio/hg38_ABCG2', 'bio/hg38_SLCO1B1', 'bio/hg38_CYP2C8', 'bio/hg38_CYP2C19', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_NOS3', 'bio/hg38_UGT1A1'], 'bio/PA131285527': ['bio/hg38_ABCG2', 'bio/hg38_UGT1A6', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_TYMS', 'bio/hg38_NOS3', 'bio/hg38_GSTP1', 'bio/hg38_UGT1A1', 'bio/hg38_ABCB1', 'bio/hg38_CYP2A6', 'bio/hg38_MTHFR', 'bio/hg38_GSTM1'], 'bio/CHEMBL729': ['bio/hg38_SLCO1B1', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_ABCC1', 'bio/hg38_CYP3A4', 'bio/hg38_ABCB1'], 'bio/CHEMBL1263': ['bio/hg38_CYP3A5'], 'bio/PA449061': ['bio/hg38_HTR2A', 'bio/hg38_ANKK1', 'bio/hg38_FKBP5', 'bio/hg38_ABCB1', 'bio/hg38_DRD1', 'bio/hg38_COMT', 'bio/hg38_CYP1A2', 'bio/hg38_GSTM1', 'bio/hg38_HLA-DRB1', 'bio/hg38_DRD2', 'bio/hg38_HLA-C', 'bio/hg38_PPARA', 'bio/hg38_CYP2C19', 'bio/hg38_SLC6A4', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_UGT1A1', 'bio/hg38_MTHFR'], 'bio/CHEMBL607': ['bio/hg38_CYP3A5', 'bio/hg38_CYP2B6'], 'bio/CHEMBL223228': ['bio/hg38_HTR2A', 'bio/hg38_ABCG2', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_NAT2', 'bio/hg38_NR1I2', 'bio/hg38_UGT1A1', 'bio/hg38_ABCB1', 'bio/hg38_IL10', 'bio/hg38_CYP2A6', 'bio/hg38_HLA-DRB1', 'bio/hg38_CYP2C19', 'bio/hg38_CYP2B6'], 'bio/CHEMBL502': ['bio/hg38_CYP3A5', 'bio/hg38_CYP2D6'], 'bio/CHEMBL779': ['bio/hg38_CYP3A5'], 'bio/CHEMBL1467': ['bio/hg38_ABCG2', 'bio/hg38_UGT1A6', 'bio/hg38_UGT1A8', 'bio/hg38_HLA-C', 'bio/hg38_AOX1', 'bio/hg38_HLA-A', 'bio/hg38_UGT1A1', 'bio/hg38_HLA-DRB1'], 'bio/PA451365': ['bio/hg38_UGT1A8', 'bio/hg38_CYP3A5', 'bio/hg38_TCF7L2', 'bio/hg38_CYP3A4', 'bio/hg38_NR1I2', 'bio/hg38_ABCB1', 'bio/hg38_IL10'], 'bio/CHEMBL1473': ['bio/hg38_CYP3A5'], 'bio/CHEMBL888': ['bio/hg38_FKBP5', 'bio/hg38_ABCB1', 'bio/hg38_GSTM1', 'bio/hg38_ABCG2', 'bio/hg38_CYP2C8', 'bio/hg38_HLA-C', 'bio/hg38_TNF', 'bio/hg38_TYMS'], 'bio/PA10832': ['bio/hg38_FKBP5', 'bio/hg38_ABCB1', 'bio/hg38_GSTM1'], 'bio/PA165110351': ['bio/hg38_CYP3A5', 'bio/hg38_ABCB1'], 'bio/CHEMBL596': ['bio/hg38_CYP3A5', 'bio/hg38_COMT', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_OPRD1', 'bio/hg38_ABCB1', 'bio/hg38_OPRM1'], 'bio/CHEMBL398707': ['bio/hg38_CYP2C19', 'bio/hg38_CYP3A5', 'bio/hg38_CYP2D6'], 'bio/PA450688': ['bio/hg38_HTR2A', 'bio/hg38_ANKK1', 'bio/hg38_ABCB1', 'bio/hg38_COMT', 'bio/hg38_CYP1A2', 'bio/hg38_CYP2C9', 'bio/hg38_PPARG', 'bio/hg38_AHR', 'bio/hg38_DRD2', 'bio/hg38_TPMT', 'bio/hg38_CYP3A5', 'bio/hg38_SLC6A4', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_UGT1A1', 'bio/hg38_MTHFR'], 'bio/CHEMBL435': ['bio/hg38_ACE', 'bio/hg38_TCF7L2'], 'bio/PA130232992': ['bio/hg38_GGH', 'bio/hg38_CYP3A4', 'bio/hg38_SHMT1', 'bio/hg38_UGT1A1', 'bio/hg38_MTHFR', 'bio/hg38_GSTM1'], 'bio/PA166127651': ['bio/hg38_CYP3A5', 'bio/hg38_CYP2C9', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_CYP2C19'], 'bio/CHEMBL503': ['bio/hg38_SLCO1B1', 'bio/hg38_CYP3A5', 'bio/hg38_CYP2C8', 'bio/hg38_ABCC2', 'bio/hg38_CYP2C9', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_NR1I2', 'bio/hg38_UGT1A1', 'bio/hg38_ABCB1', 'bio/hg38_CYP2C19'], 'bio/CHEMBL923': ['bio/hg38_IL1B'], 'bio/PA448685': ['bio/hg38_CYP3A5', 'bio/hg38_SLC6A4', 'bio/hg38_COMT', 'bio/hg38_CYP3A4', 'bio/hg38_OPRD1', 'bio/hg38_OPRM1'], 'bio/CHEMBL1256786': ['bio/hg38_CYP2C19', 'bio/hg38_CYP2D6'], 'bio/CHEMBL1428': ['bio/hg38_CACNA1C', 'bio/hg38_CYP3A5'], 'bio/PA164760843': ['bio/hg38_ABCG2', 'bio/hg38_ABCC2', 'bio/hg38_VDR', 'bio/hg38_CYP1A2', 'bio/hg38_UGT1A1'], 'bio/CHEMBL1419': ['bio/hg38_CYP3A5', 'bio/hg38_CYP2B6'], 'bio/CHEMBL27': ['bio/hg38_CYP2D6', 'bio/hg38_ABCB1'], 'bio/CHEMBL500': ['bio/hg38_SLC6A4', 'bio/hg38_CYP2D6'], 'bio/CHEMBL659': ['bio/hg38_CYP2D6'], 'bio/CHEMBL49': ['bio/hg38_CYP3A5'], 'bio/CHEMBL535': ['bio/hg38_ABCG2', 'bio/hg38_CYP3A5', 'bio/hg38_CYP3A4', 'bio/hg38_NR1I2', 'bio/hg38_ABCB1'], 'bio/CHEMBL13': ['bio/hg38_ACE', 'bio/hg38_CYP2D6', 'bio/hg38_CYP2C19'], 'bio/CHEMBL1064': ['bio/hg38_ABCB1', 'bio/hg38_CYP2C9', 'bio/hg38_HLA-DRB1', 'bio/hg38_ABCG2', 'bio/hg38_SLCO1B1', 'bio/hg38_CYP2C8', 'bio/hg38_PPARA', 'bio/hg38_CYP2C19', 'bio/hg38_CYP3A5', 'bio/hg38_ABCC2', 'bio/hg38_CYP3A4', 'bio/hg38_CYP2D6', 'bio/hg38_NR1I2', 'bio/hg38_UGT1A1'], 'bio/CHEMBL1491': ['bio/hg38_CYP3A4', 'bio/hg38_ACE', 'bio/hg38_CYP3A5'], 'bio/CHEMBL1771': ['bio/hg38_CYP3A5', 'bio/hg38_CYP2C8', 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['bio/hg38_G6PD'], 'bio/CHEMBL76': ['bio/hg38_G6PD'], 'bio/CHEMBL295124': ['bio/hg38_SLC6A4', 'bio/hg38_CYP2D6'], 'bio/PA166184497': ['bio/hg38_G6PD', 'bio/hg38_CYP2D6'], 'bio/PA166182885': ['bio/hg38_G6PD'], 'bio/PA450645': ['bio/hg38_MTHFR'], 'bio/CHEMBL222334': ['bio/hg38_G6PD'], 'bio/PA165860788': ['bio/hg38_SLC6A4'], 'bio/CHEMBL822': ['bio/hg38_HLA-A', 'bio/hg38_NR1I2', 'bio/hg38_CYP2D6'], 'bio/CHEMBL564085': ['bio/hg38_NR1I2'], 'bio/PA165290928': ['bio/hg38_CYP2C19'], 'bio/CHEMBL86304': ['bio/hg38_CYP2C19'], 'bio/CHEMBL607400': ['bio/hg38_CYP2C19', 'bio/hg38_CYP2C9'], 'bio/CHEMBL58323': ['bio/hg38_CYP2C19'], 'bio/CHEMBL104': ['bio/hg38_NR1I2'], 'bio/CHEMBL1670': ['bio/hg38_CYP2B6'], 'bio/CHEMBL515': ['bio/hg38_CXCL12', 'bio/hg38_CYP2B6'], 'bio/CHEMBL487894': ['bio/hg38_CYP2C19', 'bio/hg38_NAT2'], 'bio/CHEMBL1023': ['bio/hg38_NR1I2'], 'bio/PA166176033': ['bio/hg38_CYP2B6'], 'bio/CHEMBL220492': ['bio/hg38_NR1I2', 'bio/hg38_CYP2C19'], 'bio/CHEMBL870': ['bio/hg38_VDR'], 'bio/CHEMBL2107333': ['bio/hg38_GSTP1'], 'bio/PA166118565': ['bio/hg38_CYP2C19'], 'bio/CHEMBL82202': ['bio/hg38_CYP2E1', 'bio/hg38_NAT2'], 'bio/PA164924486': ['bio/hg38_NR1I2'], 'bio/CHEMBL1233': ['bio/hg38_CYP2C19'], 'bio/CHEMBL466': ['bio/hg38_NR1I2'], 'bio/PA164783809': ['bio/hg38_NR1I2'], 'bio/CHEMBL1555813': ['bio/hg38_NR1I2'], 'bio/PA164754742': ['bio/hg38_NR1I2'], 'bio/CHEMBL45029': ['bio/hg38_CYP2C19'], 'bio/CHEMBL1076211': ['bio/hg38_CYP2C19', 'bio/hg38_CYP2D6'], 'bio/CHEMBL1525': ['bio/hg38_NR1I2'], 'bio/CHEMBL429': ['bio/hg38_CYP2C19', 'bio/hg38_CYP2D6'], 'bio/CHEMBL808': ['bio/hg38_NR1I2'], 'bio/CHEMBL70418': ['bio/hg38_CYP2C19'], 'bio/CHEMBL1201863': ['bio/hg38_CYP2C19'], 'bio/PA164783990': ['bio/hg38_FTO', 'bio/hg38_ITPA'], 'bio/CHEMBL887': ['bio/hg38_DRD2'], 'bio/PA166131507': ['bio/hg38_CYP2C19', 'bio/hg38_CYP2D6'], 'bio/CHEMBL43048': ['bio/hg38_CYP2C19', 'bio/hg38_CYP2D6', 'bio/hg38_CYP2B6'], 'bio/CHEMBL174': ['bio/hg38_HLA-A', 'bio/hg38_NR1I2'], 'bio/CHEMBL615': ['bio/hg38_NR1I2'], 'bio/CHEMBL1648': ['bio/hg38_NR1I2'], 'bio/CHEMBL2105395': ['bio/hg38_CYP2C9', 'bio/hg38_CYP2B6'], 'bio/CHEMBL1709464': ['bio/hg38_CYP2C19'], 'bio/CHEMBL807': ['bio/hg38_NR1I2'], 'bio/CHEMBL308954': ['bio/hg38_CYP2C19'], 'bio/CHEMBL1443': ['bio/hg38_NR1I2'], 'bio/CHEMBL8867': ['bio/hg38_NR1I2'], 'bio/CHEMBL742': ['bio/hg38_CYP2B6'], 'bio/PA450519': ['bio/hg38_NR1I2'], 'bio/CHEMBL531': ['bio/hg38_DRD2'], 'bio/CHEMBL3682538': ['bio/hg38_CYP2C19'], 'bio/PA164745513': ['bio/hg38_NR1I2'], 'bio/CHEMBL446': ['bio/hg38_NR1I2', 'bio/hg38_NAT2'], 'bio/CHEMBL644': ['bio/hg38_CYP2C19', 'bio/hg38_CYP2C9', 'bio/hg38_CYP2D6'], 'bio/CHEMBL1201087': ['bio/hg38_DRD2'], 'bio/PA164713207': ['bio/hg38_CYP2C19'], 'bio/CHEMBL434394': ['bio/hg38_CYP2C19', 'bio/hg38_CYP2D6'], 'bio/CHEMBL562': ['bio/hg38_NR1I2'], 'bio/CHEMBL411': ['bio/hg38_NR1I2'], 'bio/CHEMBL1604': ['bio/hg38_NR1I2'], 'bio/CHEMBL589': ['bio/hg38_DRD2'], 'bio/CHEMBL1727': ['bio/hg38_NR1I2'], 'bio/PA452609': ['bio/hg38_CYP2B6'], 'bio/CHEMBL934': ['bio/hg38_NR1I2'], 'bio/CHEMBL142130': ['bio/hg38_NR1I2'], 'bio/CHEMBL453': ['bio/hg38_NR1I2'], 'bio/PA166163659': ['bio/hg38_CYP2C19'], 'bio/CHEMBL1742461': ['bio/hg38_CYP2C19'], 'bio/CHEMBL902': ['bio/hg38_CYP2C19'], 'bio/CHEMBL2087361': ['bio/hg38_CYP2C19'], 'bio/CHEMBL1162': ['bio/hg38_CYP2C19'], 'bio/PA164712580': ['bio/hg38_CYP2C8'], 'bio/CHEMBL1583': ['bio/hg38_HLA-A'], 'bio/CHEMBL1518': ['bio/hg38_HLA-DRB1'], 'bio/CHEMBL3545376': ['bio/hg38_CYP2C9'], 'bio/CHEMBL255044': ['bio/hg38_HLA-DRB1'], 'bio/CHEMBL80830': ['bio/hg38_HLA-DRB1'], 'bio/CHEMBL731': ['bio/hg38_CYP2C9'], 'bio/PA448714': ['bio/hg38_VDR'], 'bio/PA166165147': ['bio/hg38_NAT2'], 'bio/PA450985': ['bio/hg38_CYP2C9'], 'bio/PA164712830': ['bio/hg38_HLA-DRB1'], 'bio/CHEMBL3348945': ['bio/hg38_VDR'], 'bio/PA165958395': ['bio/hg38_CYP2C9'], 'bio/CHEMBL1158': ['bio/hg38_NAT2'], 'bio/PA134852920': ['bio/hg38_CYP2C9'], 'bio/CHEMBL225071': ['bio/hg38_TYMS'], 'bio/CHEMBL834': ['bio/hg38_CYP2C8'], 'bio/CHEMBL114283': ['bio/hg38_NAT2'], 'bio/CHEMBL354077': ['bio/hg38_NAT2'], 'bio/CHEMBL3301611': ['bio/hg38_NAT2'], 'bio/CHEMBL1489': ['bio/hg38_TYMS'], 'bio/PA451632': ['bio/hg38_HLA-A'], 'bio/CHEMBL563': ['bio/hg38_CYP2C9'], 'bio/PA449760': ['bio/hg38_HLA-DRB1'], 'bio/CHEMBL700': ['bio/hg38_NAT2'], 'bio/CHEMBL1515': ['bio/hg38_HLA-DRB1'], 'bio/CHEMBL2336071': ['bio/hg38_CYP2C9'], 'bio/PA166176017': ['bio/hg38_NAT2'], 'bio/CHEMBL2105720': ['bio/hg38_CYP2C9'], 'bio/CHEMBL276832': ['bio/hg38_NAT2'], 'bio/CHEMBL427947': ['bio/hg38_TYMS'], 'bio/PA164712582': ['bio/hg38_VDR'], 'bio/CHEMBL1335656': ['bio/hg38_HLA-A', 'bio/hg38_HLA-C'], 'bio/PA131890625': ['bio/hg38_CYP2C9'], 'bio/CHEMBL508102': ['bio/hg38_HLA-DRB1'], 'bio/PA166176022': ['bio/hg38_NAT2'], 'bio/CHEMBL465': ['bio/hg38_CYP2C9'], 'bio/PA451899': ['bio/hg38_VDR'], 'bio/CHEMBL3527338': ['bio/hg38_CYP2C8'], 'bio/PA166182718': ['bio/hg38_HLA-A'], 'bio/CHEMBL134': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1873475': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1712170': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1510': ['bio/hg38_CYP2D6'], 'bio/CHEMBL2219425': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1421': ['bio/hg38_ABCG2'], 'bio/CHEMBL641': ['bio/hg38_CYP2D6'], 'bio/CHEMBL2364639': ['bio/hg38_CYP2D6'], 'bio/PA164748302': ['bio/hg38_ACE'], 'bio/PA165946747': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1595': ['bio/hg38_CYP2D6'], 'bio/CHEMBL571': ['bio/hg38_CYP2D6'], 'bio/PA452610': ['bio/hg38_CYP2D6'], 'bio/CHEMBL314010': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1113': ['bio/hg38_CYP2D6'], 'bio/PA164713083': ['bio/hg38_ABCG2', 'bio/hg38_OPRM1'], 'bio/CHEMBL471': ['bio/hg38_CYP2D6'], 'bio/CHEMBL2095212': ['bio/hg38_CYP2D6'], 'bio/PA166131630': ['bio/hg38_ABCG2', 'bio/hg38_OPRM1'], 'bio/PA166131548': ['bio/hg38_CYP2D6'], 'bio/CHEMBL53904': ['bio/hg38_CYP2D6'], 'bio/PA166176027': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1072': ['bio/hg38_ACE'], 'bio/CHEMBL2110588': ['bio/hg38_CYP2D6'], 'bio/CHEMBL2110900': ['bio/hg38_CYP2D6'], 'bio/CHEMBL546': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1187833': ['bio/hg38_CYP2D6'], 'bio/PA164712732': ['bio/hg38_CYP2D6'], 'bio/PA164712760': ['bio/hg38_ACE'], 'bio/CHEMBL2111112': ['bio/hg38_CYP2D6'], 'bio/CHEMBL2104993': ['bio/hg38_CYP2D6'], 'bio/CHEMBL75880': ['bio/hg38_CYP2D6'], 'bio/CHEMBL17860': ['bio/hg38_CYP2D6'], 'bio/CHEMBL642': ['bio/hg38_CYP2D6'], 'bio/PA451406': ['bio/hg38_ACE'], 'bio/PA166177476': ['bio/hg38_CYP2D6'], 'bio/PA164712948': ['bio/hg38_ABCG2', 'bio/hg38_OPRM1'], 'bio/CHEMBL169901': ['bio/hg38_CYP2D6'], 'bio/CHEMBL499': ['bio/hg38_CYP2D6'], 'bio/CHEMBL296035': ['bio/hg38_CYP2D6'], 'bio/PA164754754': ['bio/hg38_CYP2D6'], 'bio/PA161199368': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1118': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1168': ['bio/hg38_ACE'], 'bio/PA166169881': ['bio/hg38_CYP2D6'], 'bio/CHEMBL362071': ['bio/hg38_CYP2D6'], 'bio/PA166175998': ['bio/hg38_CYP2D6'], 'bio/CHEMBL645': ['bio/hg38_CYP2D6'], 'bio/CHEMBL462605': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1346': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1290': ['bio/hg38_CYP2D6'], 'bio/PA164712951': ['bio/hg38_CYP2D6'], 'bio/PA144614922': ['bio/hg38_CYP2D6'], 'bio/PA134687942': ['bio/hg38_CYP2D6'], 'bio/CHEMBL457': ['bio/hg38_ACE'], 'bio/CHEMBL668': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1148': ['bio/hg38_ACE'], 'bio/PA166184235': ['bio/hg38_CYP2D6'], 'bio/CHEMBL469': ['bio/hg38_CYP2D6'], 'bio/CHEMBL1623': ['bio/hg38_CYP2D6'], 'bio/CHEMBL15245': ['bio/hg38_CYP2D6'], 'bio/CHEMBL963': ['bio/hg38_CYP2D6'], 'bio/PA450203': ['bio/hg38_CYP2D6'], 'bio/CHEMBL2105760': ['bio/hg38_CYP2D6'], 'bio/CHEMBL667': ['bio/hg38_ACE'], 'bio/PA166104276': ['bio/hg38_UGT1A8'], 'bio/PA164713301': ['bio/hg38_OPRM1'], 'bio/CHEMBL1289110': ['bio/hg38_OPRM1'], 'bio/PA164783958': ['bio/hg38_CXCL12'], 'bio/PA166177229': ['bio/hg38_OPRM1'], 'bio/PA164712688': ['bio/hg38_NOS1AP'], 'bio/CHEMBL634': ['bio/hg38_OPRM1'], 'bio/CHEMBL80': ['bio/hg38_OPRM1']})\n", - "772\n", - "defaultdict(, {'bio/CHEMBL960': ['bio/hg38_DHODH', 'bio/hg38_ESR1'], 'bio/CHEMBL350239': ['bio/hg38_LIPC', 'bio/hg38_APOE', 'bio/hg38_SLCO2B1', 'bio/hg38_SREBF1', 'bio/hg38_SLC15A1', 'bio/hg38_HMGCR', 'bio/hg38_CETP'], 'bio/PA164713366': ['bio/hg38_TNFRSF10A', 'bio/hg38_SLCO1C1', 'bio/hg38_TNFRSF1A', 'bio/hg38_PTPRC', 'bio/hg38_CDKAL1', 'bio/hg38_SLC12A8', 'bio/hg38_FBXL19', 'bio/hg38_MAP3K1', 'bio/hg38_PON1', 'bio/hg38_IFNG', 'bio/hg38_TRAF1', 'bio/hg38_TLR9', 'bio/hg38_TLR5', 'bio/hg38_LY96', 'bio/hg38_IL23R', 'bio/hg38_IL17RA', 'bio/hg38_IL1RN', 'bio/hg38_IL12B', 'bio/hg38_IL17A', 'bio/hg38_PGLYRP4', 'bio/hg38_TLR2', 'bio/hg38_CD14', 'bio/hg38_TNFRSF1B', 'bio/hg38_IL6', 'bio/hg38_GBP6'], 'bio/PA164754825': ['bio/hg38_CALCA'], 'bio/CHEMBL1908360': ['bio/hg38_ESR2', 'bio/hg38_MTOR', 'bio/hg38_ESR1', 'bio/hg38_RPTOR', 'bio/hg38_ERBB2', 'bio/hg38_PIK3R1'], 'bio/CHEMBL83': ['bio/hg38_ESR2', 'bio/hg38_F5', 'bio/hg38_F2', 'bio/hg38_PGR', 'bio/hg38_ESR1', 'bio/hg38_CCNA2', 'bio/hg38_BRCA1', 'bio/hg38_CYP19A1'], 'bio/CHEMBL481': ['bio/hg38_DPYD', 'bio/hg38_PIN1', 'bio/hg38_EGFR', 'bio/hg38_ABCG1', 'bio/hg38_TGFB1', 'bio/hg38_BCHE', 'bio/hg38_VEGFA', 'bio/hg38_TOP1', 'bio/hg38_TGFBR2', 'bio/hg38_SEMA3C', 'bio/hg38_UBE2I', 'bio/hg38_AREG'], 'bio/PA449014': ['bio/hg38_EPHX1', 'bio/hg38_PTEN', 'bio/hg38_MUTYH', 'bio/hg38_RRM1', 'bio/hg38_NQO1', 'bio/hg38_MAP3K1', 'bio/hg38_RAF1', 'bio/hg38_RARS', 'bio/hg38_LRP2', 'bio/hg38_PIK3CA', 'bio/hg38_AKT1', 'bio/hg38_ACSS2', 'bio/hg38_LIG3', 'bio/hg38_SLC22A2', 'bio/hg38_AQP1', 'bio/hg38_ESR1', 'bio/hg38_VEGFA', 'bio/hg38_NRAS', 'bio/hg38_UBE2I'], 'bio/PA451743': ['bio/hg38_FCGR2A', 'bio/hg38_ESR2', 'bio/hg38_PGR', 'bio/hg38_FCGR2B', 'bio/hg38_ESR1', 'bio/hg38_ERBB2', 'bio/hg38_PIK3CA', 'bio/hg38_ERBB3', 'bio/hg38_FCGR3A'], 'bio/CHEMBL2103875': ['bio/hg38_KRAS', 'bio/hg38_NRAS', 'bio/hg38_HRAS'], 'bio/PA452639': ['bio/hg38_FCGR2A', 'bio/hg38_SLCO1C1', 'bio/hg38_TNFRSF1A', 'bio/hg38_TNFRSF1B', 'bio/hg38_PTPRC', 'bio/hg38_IL6', 'bio/hg38_IL12B', 'bio/hg38_FCGR3A', 'bio/hg38_TRAF1'], 'bio/CHEMBL428647': ['bio/hg38_MAP3K1', 'bio/hg38_RAF1', 'bio/hg38_CYP1B1', 'bio/hg38_SOX10', 'bio/hg38_EGFR', 'bio/hg38_ACSS2', 'bio/hg38_SLC29A1', 'bio/hg38_CYP19A1', 'bio/hg38_TRIM5', 'bio/hg38_CASP7'], 'bio/CHEMBL941': ['bio/hg38_SLC22A1', 'bio/hg38_SLC22A5', 'bio/hg38_PDGFRB', 'bio/hg38_NQO1', 'bio/hg38_EGFR', 'bio/hg38_KIT', 'bio/hg38_BCL2L11', 'bio/hg38_PDGFRA', 'bio/hg38_ABCB4', 'bio/hg38_SLC22A4', 'bio/hg38_ABL1'], 'bio/CHEMBL612': ['bio/hg38_KAT2B'], 'bio/CHEMBL3545110': ['bio/hg38_ESR2', 'bio/hg38_ERBB2', 'bio/hg38_ESR1', 'bio/hg38_PGR'], 'bio/PA164712331': ['bio/hg38_EGFR', 'bio/hg38_NQO1', 'bio/hg38_ESR1'], 'bio/CHEMBL1393': ['bio/hg38_ADRB2'], 'bio/PA452632': ['bio/hg38_CYP4F2', 'bio/hg38_APOE', 'bio/hg38_CALU', 'bio/hg38_VKORC1'], 'bio/CHEMBL926': ['bio/hg38_GNAS'], 'bio/CHEMBL1683544': ['bio/hg38_ESR2', 'bio/hg38_ERBB2', 'bio/hg38_ESR1', 'bio/hg38_PGR'], 'bio/PA448803': ['bio/hg38_PRRC2A', 'bio/hg38_PTEN', 'bio/hg38_DOCK8', 'bio/hg38_ALDH1A1', 'bio/hg38_MAP3K1', 'bio/hg38_RAF1', 'bio/hg38_SOX10', 'bio/hg38_CDSN', 'bio/hg38_SERPINC1', 'bio/hg38_EGFR', 'bio/hg38_PIK3CA', 'bio/hg38_ERBB3', 'bio/hg38_GSR', 'bio/hg38_AKT1', 'bio/hg38_SERPINA5', 'bio/hg38_ACSS2', 'bio/hg38_VEGFA', 'bio/hg38_SCN10A', 'bio/hg38_NRAS', 'bio/hg38_TRIM5', 'bio/hg38_PSORS1C1', 'bio/hg38_HCP5', 'bio/hg38_ERBB2', 'bio/hg38_MSH5', 'bio/hg38_ETS2'], 'bio/PA164712505': ['bio/hg38_APOE'], 'bio/CHEMBL2133738': ['bio/hg38_ESR2', 'bio/hg38_ESR1', 'bio/hg38_PGR'], 'bio/CHEMBL1163': ['bio/hg38_SORCS2'], 'bio/PA131548935': ['bio/hg38_F5'], 'bio/CHEMBL25': ['bio/hg38_HLA-DPB1', 'bio/hg38_ZBTB22', 'bio/hg38_ITGB3', 'bio/hg38_AGT', 'bio/hg38_PTGER3', 'bio/hg38_TBXAS1', 'bio/hg38_TLR3', 'bio/hg38_IRS1', 'bio/hg38_PTGS2', 'bio/hg38_IL4', 'bio/hg38_FCER1G', 'bio/hg38_HLA-DQB1', 'bio/hg38_NTRK1', 'bio/hg38_TGFB1', 'bio/hg38_PTGS1', 'bio/hg38_TNFRSF11A', 'bio/hg38_CHIA', 'bio/hg38_ODC1', 'bio/hg38_GP1BA', 'bio/hg38_HNMT', 'bio/hg38_IKBKB', 'bio/hg38_PTGER2', 'bio/hg38_GP6', 'bio/hg38_PTGIR', 'bio/hg38_P2RY1', 'bio/hg38_CYP4F2', 'bio/hg38_TAPBP', 'bio/hg38_ITGA2', 'bio/hg38_NCF4', 'bio/hg38_ADORA1', 'bio/hg38_PLA2G4A', 'bio/hg38_F13A1', 'bio/hg38_LTC4S'], 'bio/CHEMBL81': ['bio/hg38_ESR2', 'bio/hg38_ESR1'], 'bio/CHEMBL1234004': ['bio/hg38_ASIC2', 'bio/hg38_HTR1B', 'bio/hg38_CRY1', 'bio/hg38_BDNF', 'bio/hg38_CREB1', 'bio/hg38_TPH1', 'bio/hg38_SCN5A', 'bio/hg38_ZNF804A', 'bio/hg38_NTRK2', 'bio/hg38_NR1D1', 'bio/hg38_EPHX2', 'bio/hg38_GSK3B'], 'bio/CHEMBL92': ['bio/hg38_ESR2', 'bio/hg38_EPHX1', 'bio/hg38_PGR', 'bio/hg38_RXRA', 'bio/hg38_CYP1A1', 'bio/hg38_MAP3K1', 'bio/hg38_RAF1', 'bio/hg38_CYP1B1', 'bio/hg38_ORM2', 'bio/hg38_SOX10', 'bio/hg38_HNF4A', 'bio/hg38_EGFR', 'bio/hg38_RAB27A', 'bio/hg38_PIK3CA', 'bio/hg38_ERBB3', 'bio/hg38_ACSS2', 'bio/hg38_ESR1', 'bio/hg38_VEGFA', 'bio/hg38_CYP19A1', 'bio/hg38_CASP7', 'bio/hg38_ERBB2', 'bio/hg38_NR1I3'], 'bio/CHEMBL978': ['bio/hg38_ADRB2'], 'bio/CHEMBL1643': ['bio/hg38_SLC29A1', 'bio/hg38_OASL', 'bio/hg38_HLA-B', 'bio/hg38_CYP2R1', 'bio/hg38_SCARB1', 'bio/hg38_IFNL3', 'bio/hg38_SLC28A2', 'bio/hg38_IL6', 'bio/hg38_EGFR', 'bio/hg38_CYP27B1', 'bio/hg38_LDLR', 'bio/hg38_MICB'], 'bio/CHEMBL649': ['bio/hg38_SLCO2B1'], 'bio/PA166114911': ['bio/hg38_KRAS', 'bio/hg38_NRAS', 'bio/hg38_HRAS'], 'bio/CHEMBL723': ['bio/hg38_ADRB2'], 'bio/CHEMBL1399': ['bio/hg38_ESR2', 'bio/hg38_PGR', 'bio/hg38_ESR1', 'bio/hg38_MAP4K4', 'bio/hg38_TNFRSF11B', 'bio/hg38_TNFSF11', 'bio/hg38_CYP19A1'], 'bio/PA166182279': ['bio/hg38_EGFR'], 'bio/PA449515': ['bio/hg38_STAT4', 'bio/hg38_FCGR2A', 'bio/hg38_PSORS1C1', 'bio/hg38_SLCO1C1', 'bio/hg38_TNFRSF1A', 'bio/hg38_TNFRSF1B', 'bio/hg38_PTPRC', 'bio/hg38_IL6', 'bio/hg38_CD84', 'bio/hg38_IL12B', 'bio/hg38_FCGR3A', 'bio/hg38_TRAF1'], 'bio/PA449456': ['bio/hg38_NR3C2', 'bio/hg38_BDKRB2', 'bio/hg38_VEGFA', 'bio/hg38_ADRB2'], 'bio/CHEMBL185': ['bio/hg38_SELE', 'bio/hg38_PTEN', 'bio/hg38_DPYD', 'bio/hg38_NQO1', 'bio/hg38_PON1', 'bio/hg38_CYP1B1', 'bio/hg38_TYMP', 'bio/hg38_IGFBP3', 'bio/hg38_OGG1', 'bio/hg38_NOS1', 'bio/hg38_EGFR', 'bio/hg38_WNT5B', 'bio/hg38_DLG5', 'bio/hg38_IRS1', 'bio/hg38_MSH3', 'bio/hg38_RAB27A', 'bio/hg38_ABCG1', 'bio/hg38_EXO1', 'bio/hg38_RBX1', 'bio/hg38_TOP2A', 'bio/hg38_VEGFA', 'bio/hg38_SPARC', 'bio/hg38_CYP19A1', 'bio/hg38_TNFSF13B', 'bio/hg38_PERP', 'bio/hg38_FOXO1', 'bio/hg38_ATM', 'bio/hg38_TP53', 'bio/hg38_LGR5'], 'bio/PA164712308': ['bio/hg38_AGT', 'bio/hg38_ABO', 'bio/hg38_PTGER3', 'bio/hg38_AGTR1', 'bio/hg38_BDKRB2', 'bio/hg38_ADRB2', 'bio/hg38_MME'], 'bio/CHEMBL517': ['bio/hg38_SCN5A'], 'bio/CHEMBL85': ['bio/hg38_MC4R', 'bio/hg38_CCL2', 'bio/hg38_FAAH', 'bio/hg38_DRD3', 'bio/hg38_CYP1B1', 'bio/hg38_GRM7', 'bio/hg38_HTR1A', 'bio/hg38_HRH4', 'bio/hg38_TJP1', 'bio/hg38_EIF2AK4', 'bio/hg38_AKT1', 'bio/hg38_TNFRSF11A', 'bio/hg38_HTT', 'bio/hg38_LEP', 'bio/hg38_CNR1', 'bio/hg38_RGS4', 'bio/hg38_PPA2', 'bio/hg38_ADRB2'], 'bio/CHEMBL191': ['bio/hg38_AGTR1', 'bio/hg38_STK39'], 'bio/CHEMBL1390': ['bio/hg38_ESR1'], 'bio/CHEMBL640': ['bio/hg38_SCN5A'], 'bio/CHEMBL20883': ['bio/hg38_DPYD', 'bio/hg38_EGFR'], 'bio/PA164924493': ['bio/hg38_KDR', 'bio/hg38_ABL1', 'bio/hg38_FLT1', 'bio/hg38_HIF1A'], 'bio/CHEMBL554': ['bio/hg38_ESR2', 'bio/hg38_PGR', 'bio/hg38_ESR1', 'bio/hg38_EGFR', 'bio/hg38_ERBB4', 'bio/hg38_ERBB2', 'bio/hg38_PIK3CA', 'bio/hg38_ABCB11', 'bio/hg38_ERBB3'], 'bio/CHEMBL118': ['bio/hg38_CACNA1E', 'bio/hg38_PTGER4', 'bio/hg38_CASP9', 'bio/hg38_CACNA1B', 'bio/hg38_CDKN1A', 'bio/hg38_IGFBP3', 'bio/hg38_MMP9', 'bio/hg38_PTGS2', 'bio/hg38_PTGES', 'bio/hg38_IL23R', 'bio/hg38_CDKN1B', 'bio/hg38_ALOX12', 'bio/hg38_VEGFA', 'bio/hg38_CASP3', 'bio/hg38_BCAR1', 'bio/hg38_DDIT3'], 'bio/PA166115442': ['bio/hg38_DPYD'], 'bio/PA10004': ['bio/hg38_FCGR2A', 'bio/hg38_TRAF1', 'bio/hg38_TF', 'bio/hg38_HFE', 'bio/hg38_TNFRSF1A', 'bio/hg38_ATG5', 'bio/hg38_PTPRC', 'bio/hg38_IL6', 'bio/hg38_CRP', 'bio/hg38_IL12B', 'bio/hg38_FCGR3A', 'bio/hg38_ATG16L1'], 'bio/CHEMBL1336': ['bio/hg38_SLC22A1', 'bio/hg38_MAPK10', 'bio/hg38_PDGFRB', 'bio/hg38_FLT1', 'bio/hg38_RAF1', 'bio/hg38_MAPK8', 'bio/hg38_MAPK1', 'bio/hg38_MAPK9', 'bio/hg38_KIT', 'bio/hg38_MAPK14', 'bio/hg38_VEGFA', 'bio/hg38_MAPK13', 'bio/hg38_MAPK7', 'bio/hg38_FLT3', 'bio/hg38_RET', 'bio/hg38_KDR', 'bio/hg38_MAPK3', 'bio/hg38_FLT4', 'bio/hg38_HIF1A', 'bio/hg38_SLC15A2', 'bio/hg38_FGFR1'], 'bio/CHEMBL1431': ['bio/hg38_PRKAA1', 'bio/hg38_SLC22A1', 'bio/hg38_HNF1B', 'bio/hg38_SLC22A2', 'bio/hg38_SLC29A4', 'bio/hg38_SLC2A2', 'bio/hg38_SP1', 'bio/hg38_ATM', 'bio/hg38_SLC22A4'], 'bio/CHEMBL796': ['bio/hg38_ADRA2A', 'bio/hg38_TH', 'bio/hg38_GRM7', 'bio/hg38_HTT', 'bio/hg38_TRIB3', 'bio/hg38_DRD3'], 'bio/CHEMBL3189058': ['bio/hg38_ADRB2'], 'bio/CHEMBL656': ['bio/hg38_RHBDF2', 'bio/hg38_OPRK1'], 'bio/PA166124615': ['bio/hg38_EGFR', 'bio/hg38_CD274', 'bio/hg38_ALK'], 'bio/PA165110439': ['bio/hg38_ESR2', 'bio/hg38_ERBB2', 'bio/hg38_ESR1', 'bio/hg38_PGR'], 'bio/CHEMBL54': ['bio/hg38_MC4R', 'bio/hg38_AKAP13', 'bio/hg38_TOR1A', 'bio/hg38_FAAH', 'bio/hg38_GRIN2A', 'bio/hg38_EIF2AK4', 'bio/hg38_HOMER1', 'bio/hg38_HTR3A', 'bio/hg38_IL1RN', 'bio/hg38_HSPG2', 'bio/hg38_CNR1', 'bio/hg38_DTNBP1', 'bio/hg38_NTS', 'bio/hg38_SLC6A3', 'bio/hg38_HTR3E'], 'bio/CHEMBL672': ['bio/hg38_APOA1', 'bio/hg38_ABCA1', 'bio/hg38_APOE', 'bio/hg38_SCARB1', 'bio/hg38_FABP1', 'bio/hg38_IL6', 'bio/hg38_APOB', 'bio/hg38_APOA5', 'bio/hg38_LPL', 'bio/hg38_CRP'], 'bio/CHEMBL88': ['bio/hg38_EPHX1', 'bio/hg38_MUTYH', 'bio/hg38_ALDH1A1', 'bio/hg38_CYP1B1', 'bio/hg38_NOS1', 'bio/hg38_IRS1', 'bio/hg38_RAB27A', 'bio/hg38_LIG3', 'bio/hg38_RBX1', 'bio/hg38_TOP2A', 'bio/hg38_VEGFA', 'bio/hg38_TNFSF13B', 'bio/hg38_CYP19A1', 'bio/hg38_PERP', 'bio/hg38_FOXO1', 'bio/hg38_ATM', 'bio/hg38_TP53'], 'bio/CHEMBL1624': ['bio/hg38_DIO2'], 'bio/CHEMBL1487': ['bio/hg38_BDKRB2', 'bio/hg38_SLCO2B1', 'bio/hg38_HTR7', 'bio/hg38_HMGCR', 'bio/hg38_LDLR', 'bio/hg38_PON1', 'bio/hg38_ABCG8', 'bio/hg38_CYP7A1', 'bio/hg38_LEPR', 'bio/hg38_CETP', 'bio/hg38_AGTR1', 'bio/hg38_APOA5', 'bio/hg38_ABCA1', 'bio/hg38_APOE', 'bio/hg38_SCARB1'], 'bio/CHEMBL211456': ['bio/hg38_ADRB2'], 'bio/CHEMBL7252': ['bio/hg38_EPHX1', 'bio/hg38_CYP1A1', 'bio/hg38_DNMT3A', 'bio/hg38_GATA4', 'bio/hg38_NEDD4', 'bio/hg38_VKORC1', 'bio/hg38_NQO1', 'bio/hg38_PROC', 'bio/hg38_ORM2', 'bio/hg38_HNF4A', 'bio/hg38_STX4', 'bio/hg38_APOB', 'bio/hg38_ORM1', 'bio/hg38_PROS1', 'bio/hg38_PRSS53', 'bio/hg38_CYP4F2', 'bio/hg38_APOE', 'bio/hg38_THBD', 'bio/hg38_CALU', 'bio/hg38_F13A1', 'bio/hg38_NR1I3'], 'bio/PA165958521': ['bio/hg38_XDH'], 'bio/PA162373091': ['bio/hg38_BTC', 'bio/hg38_TGFA', 'bio/hg38_HBEGF', 'bio/hg38_EGFR', 'bio/hg38_KRAS', 'bio/hg38_NRG1', 'bio/hg38_EGF', 'bio/hg38_EREG', 'bio/hg38_NRAS', 'bio/hg38_AREG'], 'bio/PA133950441': ['bio/hg38_HTR7', 'bio/hg38_SLCO2B1', 'bio/hg38_HMGCR', 'bio/hg38_SREBF1', 'bio/hg38_SLC15A1', 'bio/hg38_CETP', 'bio/hg38_LPA', 'bio/hg38_ABCB11', 'bio/hg38_CYP19A1', 'bio/hg38_CXCL5', 'bio/hg38_APOE', 'bio/hg38_CELSR2'], 'bio/PA166114922': ['bio/hg38_LDLR', 'bio/hg38_PCSK9', 'bio/hg38_APOB'], 'bio/CHEMBL1760': ['bio/hg38_ADRB2'], 'bio/CHEMBL3353410': ['bio/hg38_EGFR'], 'bio/PA131285527': ['bio/hg38_SELE', 'bio/hg38_CSMD1', 'bio/hg38_PIN1', 'bio/hg38_PON1', 'bio/hg38_VEGFA', 'bio/hg38_MT1A', 'bio/hg38_PTGS2', 'bio/hg38_NQO1'], 'bio/CHEMBL1263': ['bio/hg38_ADRB2'], 'bio/PA449061': ['bio/hg38_MC4R', 'bio/hg38_HLA-DPB1', 'bio/hg38_HLA-B', 'bio/hg38_FAAH', 'bio/hg38_DRD3', 'bio/hg38_HTR1A', 'bio/hg38_NTRK2', 'bio/hg38_HLA-DQB1', 'bio/hg38_HTR3A', 'bio/hg38_DTNBP1', 'bio/hg38_CNR1', 'bio/hg38_GCG', 'bio/hg38_ITIH3', 'bio/hg38_SLC6A3', 'bio/hg38_HLA-DRB5', 'bio/hg38_C3', 'bio/hg38_MPO'], 'bio/CHEMBL223228': ['bio/hg38_HNF4A', 'bio/hg38_NR1I3'], 'bio/CHEMBL502': ['bio/hg38_CHRNA7', 'bio/hg38_BCHE', 'bio/hg38_CHAT'], 'bio/CHEMBL1467': ['bio/hg38_HLA-B', 'bio/hg38_PSORS1C1', 'bio/hg38_PSORS1C3', 'bio/hg38_NOTCH4', 'bio/hg38_XDH', 'bio/hg38_POU5F1', 'bio/hg38_HLA-DQB1'], 'bio/CHEMBL1173655': ['bio/hg38_EGFR'], 'bio/CHEMBL1473': ['bio/hg38_CRHR1', 'bio/hg38_GLCCI1'], 'bio/CHEMBL888': ['bio/hg38_ESR2', 'bio/hg38_PRRC2A', 'bio/hg38_FHL2', 'bio/hg38_DOCK8', 'bio/hg38_RRM1', 'bio/hg38_RAF1', 'bio/hg38_SLC29A2', 'bio/hg38_CDSN', 'bio/hg38_SLC29A3', 'bio/hg38_SERPINC1', 'bio/hg38_EGFR', 'bio/hg38_SLC28A3', 'bio/hg38_SERPINA5', 'bio/hg38_ACSS2', 'bio/hg38_SLC29A1', 'bio/hg38_NRAS', 'bio/hg38_SPARC', 'bio/hg38_CDA', 'bio/hg38_PSORS1C1', 'bio/hg38_NT5C', 'bio/hg38_DAPK1', 'bio/hg38_HCP5', 'bio/hg38_SLC28A2', 'bio/hg38_CASP7', 'bio/hg38_MSH5', 'bio/hg38_ETS2', 'bio/hg38_ALG10'], 'bio/PA10832': ['bio/hg38_BCL2L11', 'bio/hg38_CRHR1', 'bio/hg38_DTNBP1', 'bio/hg38_HDAC1', 'bio/hg38_TBX21', 'bio/hg38_ADRB2', 'bio/hg38_KL', 'bio/hg38_GLCCI1'], 'bio/CHEMBL596': ['bio/hg38_ARRB2', 'bio/hg38_MYD88', 'bio/hg38_CACNA1E', 'bio/hg38_RHBDF2', 'bio/hg38_P2RX7', 'bio/hg38_ADRB2', 'bio/hg38_ATF2', 'bio/hg38_KCNJ6'], 'bio/PA450688': ['bio/hg38_MC4R', 'bio/hg38_CYP1A1', 'bio/hg38_PMCH', 'bio/hg38_FAAH', 'bio/hg38_DRD3', 'bio/hg38_HTR1A', 'bio/hg38_CHAT', 'bio/hg38_IL1A', 'bio/hg38_EIF2AK4', 'bio/hg38_BDNF', 'bio/hg38_LEP', 'bio/hg38_CNR1', 'bio/hg38_GCG', 'bio/hg38_RGS4'], 'bio/CHEMBL435': ['bio/hg38_CSMD1', 'bio/hg38_CSK', 'bio/hg38_LRRC15', 'bio/hg38_GPR83', 'bio/hg38_VASP', 'bio/hg38_HMGCS2', 'bio/hg38_C5orf56', 'bio/hg38_NELFCD', 'bio/hg38_NEDD4L', 'bio/hg38_TET2', 'bio/hg38_ALDH1A2', 'bio/hg38_PRKCA'], 'bio/PA130232992': ['bio/hg38_HSP90AB1', 'bio/hg38_CXCL8', 'bio/hg38_FHIT', 'bio/hg38_CFH', 'bio/hg38_CXCR4', 'bio/hg38_VEGFA', 'bio/hg38_GC', 'bio/hg38_VEGFC', 'bio/hg38_VEGFB', 'bio/hg38_EDN1', 'bio/hg38_HTRA1', 'bio/hg38_PRKCA'], 'bio/CHEMBL503': ['bio/hg38_CYP4F2', 'bio/hg38_SLCO2B1', 'bio/hg38_HMGCR', 'bio/hg38_LDLR', 'bio/hg38_APOA5', 'bio/hg38_CETP'], 'bio/CHEMBL923': ['bio/hg38_LRP5'], 'bio/PA448685': ['bio/hg38_ARRB2'], 'bio/CHEMBL1256786': ['bio/hg38_ADRB2'], 'bio/CHEMBL679': ['bio/hg38_ADRA2A', 'bio/hg38_ADRA1D', 'bio/hg38_ADRB2'], 'bio/PA165290929': ['bio/hg38_SERPINC1', 'bio/hg38_PROS1', 'bio/hg38_F5', 'bio/hg38_PROC'], 'bio/CHEMBL1358': ['bio/hg38_ESR2', 'bio/hg38_ERBB2', 'bio/hg38_ESR1', 'bio/hg38_PGR'], 'bio/PA164760843': ['bio/hg38_CYP24A1', 'bio/hg38_CYP1A1', 'bio/hg38_GC', 'bio/hg38_CYP27B1'], 'bio/CHEMBL27': ['bio/hg38_ADRB2'], 'bio/CHEMBL500': ['bio/hg38_ADRB2'], 'bio/CHEMBL659': ['bio/hg38_CHRNA7', 'bio/hg38_CHAT'], 'bio/CHEMBL535': ['bio/hg38_CXCL8', 'bio/hg38_RET', 'bio/hg38_KDR', 'bio/hg38_FLT4', 'bio/hg38_PDGFRB', 'bio/hg38_VEGFA', 'bio/hg38_FLT1', 'bio/hg38_KIT', 'bio/hg38_FLT3', 'bio/hg38_NR1I3', 'bio/hg38_IL13'], 'bio/CHEMBL13': ['bio/hg38_LRRC15', 'bio/hg38_ADRB2'], 'bio/CHEMBL1064': ['bio/hg38_LIPC', 'bio/hg38_HTR7', 'bio/hg38_SLCO2B1', 'bio/hg38_HMGCR', 'bio/hg38_RHOA', 'bio/hg38_PON1', 'bio/hg38_F3', 'bio/hg38_LEPR', 'bio/hg38_CETP', 'bio/hg38_APOA5', 'bio/hg38_ABCA1', 'bio/hg38_APOE', 'bio/hg38_CYBA'], 'bio/CHEMBL1491': ['bio/hg38_AGT'], 'bio/CHEMBL1771': ['bio/hg38_PTGS1', 'bio/hg38_P2RY12', 'bio/hg38_CYP4F2', 'bio/hg38_ITGA2', 'bio/hg38_IRS1', 'bio/hg38_ITGB3', 'bio/hg38_PON1'], 'bio/CHEMBL1144': ['bio/hg38_LIPC', 'bio/hg38_HTR7', 'bio/hg38_SLCO2B1', 'bio/hg38_GPR1', 'bio/hg38_HMGCR', 'bio/hg38_LDLR', 'bio/hg38_RHOA', 'bio/hg38_CETP', 'bio/hg38_MMP3', 'bio/hg38_NPC1L1', 'bio/hg38_ABCB11', 'bio/hg38_ABCA1', 'bio/hg38_APOE', 'bio/hg38_LPL'], 'bio/CHEMBL24828': ['bio/hg38_EGFR', 'bio/hg38_RET', 'bio/hg38_KDR'], 'bio/PA150481186': ['bio/hg38_EGFR'], 'bio/CHEMBL1201733': ['bio/hg38_KDR', 'bio/hg38_HLA-B'], 'bio/CHEMBL1200374': ['bio/hg38_ESR2', 'bio/hg38_PGR', 'bio/hg38_CYP1A1', 'bio/hg38_ESR1', 'bio/hg38_MAP4K4', 'bio/hg38_CYP19A1'], 'bio/CHEMBL19151': ['bio/hg38_KAT2B', 'bio/hg38_BCHE', 'bio/hg38_SLC6A3', 'bio/hg38_CHRNA3', 'bio/hg38_SCN5A', 'bio/hg38_CNR1'], 'bio/CHEMBL914': ['bio/hg38_SLCO2B1'], 'bio/PA164712689': ['bio/hg38_CDKAL1'], 'bio/CHEMBL44657': ['bio/hg38_PLA2G6'], 'bio/CHEMBL180022': ['bio/hg38_ESR2', 'bio/hg38_PGR', 'bio/hg38_ESR1', 'bio/hg38_EGFR', 'bio/hg38_ERBB2'], 'bio/PA164712535': ['bio/hg38_GRK5', 'bio/hg38_ADRB2', 'bio/hg38_KL'], 'bio/PA10040': ['bio/hg38_BTC', 'bio/hg38_FCGR2A', 'bio/hg38_TGFA', 'bio/hg38_HBEGF', 'bio/hg38_EGFR', 'bio/hg38_GC', 'bio/hg38_KRAS', 'bio/hg38_NRG1', 'bio/hg38_EGF', 'bio/hg38_EREG', 'bio/hg38_NRAS', 'bio/hg38_AREG', 'bio/hg38_FCGR3A'], 'bio/CHEMBL1380': ['bio/hg38_LTA', 'bio/hg38_ADK', 'bio/hg38_LTB', 'bio/hg38_HLA-B'], 'bio/CHEMBL526': ['bio/hg38_ADRB2'], 'bio/CHEMBL837': ['bio/hg38_BCHE', 'bio/hg38_TOP1'], 'bio/CHEMBL53463': ['bio/hg38_ALDH1A1', 'bio/hg38_NQO1', 'bio/hg38_CYP1B1', 'bio/hg38_NOS2', 'bio/hg38_NOS1', 'bio/hg38_SLC28A3', 'bio/hg38_RAC2', 'bio/hg38_TOP2A', 'bio/hg38_CYP19A1', 'bio/hg38_ATM', 'bio/hg38_NCF4', 'bio/hg38_CYBA'], 'bio/CHEMBL90555': ['bio/hg38_ACTG1', 'bio/hg38_CEP72', 'bio/hg38_ABL1'], 'bio/CHEMBL1215': ['bio/hg38_ADRA1D', 'bio/hg38_ADRB2'], 'bio/PA451250': ['bio/hg38_CUX2', 'bio/hg38_NOS2', 'bio/hg38_HLA-DQB1'], 'bio/PA164784024': ['bio/hg38_SLC29A1', 'bio/hg38_CXCL10', 'bio/hg38_OASL', 'bio/hg38_HLA-B', 'bio/hg38_CYP2R1', 'bio/hg38_IFNL3', 'bio/hg38_SLC28A2', 'bio/hg38_IL6', 'bio/hg38_EGFR', 'bio/hg38_CYP27B1', 'bio/hg38_HLA-DPA1', 'bio/hg38_IDO1', 'bio/hg38_LDLR', 'bio/hg38_MICB'], 'bio/CHEMBL708': ['bio/hg38_MC4R', 'bio/hg38_EIF2AK4', 'bio/hg38_RGS4'], 'bio/CHEMBL584744': ['bio/hg38_CCR5'], 'bio/PA166114943': ['bio/hg38_KRAS', 'bio/hg38_EGFR', 'bio/hg38_VEGFA'], 'bio/CHEMBL553': ['bio/hg38_EGFR', 'bio/hg38_ERBB4', 'bio/hg38_ERBB2', 'bio/hg38_ERBB3', 'bio/hg38_MAP3K1'], 'bio/PA153561371': ['bio/hg38_NRAS', 'bio/hg38_EGFR'], 'bio/PA166129523': ['bio/hg38_EGFR', 'bio/hg38_CD274', 'bio/hg38_ALK'], 'bio/PA166182763': ['bio/hg38_XIAP', 'bio/hg38_SH2D1A', 'bio/hg38_UNC13D', 'bio/hg38_STXBP2', 'bio/hg38_RAB27A', 'bio/hg38_STX11', 'bio/hg38_PRF1'], 'bio/CHEMBL1117': ['bio/hg38_RAC2', 'bio/hg38_NCF4', 'bio/hg38_CYBA'], 'bio/CHEMBL1200694': ['bio/hg38_ADRB2'], 'bio/CHEMBL1175': ['bio/hg38_TTC37', 'bio/hg38_FCN2', 'bio/hg38_NCAM1', 'bio/hg38_NRXN1', 'bio/hg38_DRD3'], 'bio/CHEMBL545': ['bio/hg38_MAP2K4', 'bio/hg38_CHRNA3', 'bio/hg38_GHSR', 'bio/hg38_ALDH2', 'bio/hg38_GATA4', 'bio/hg38_ALDH1A1', 'bio/hg38_CAT', 'bio/hg38_MED19', 'bio/hg38_OPRK1', 'bio/hg38_SLC39A8', 'bio/hg38_ACSS2', 'bio/hg38_FUT2', 'bio/hg38_CHRNA4', 'bio/hg38_KLB', 'bio/hg38_GCKR', 'bio/hg38_SLC4A8', 'bio/hg38_SLC6A3'], 'bio/PA164712372': ['bio/hg38_ADRB2'], 'bio/CHEMBL108': ['bio/hg38_EPHX1', 'bio/hg38_PRRC2A', 'bio/hg38_HLA-B', 'bio/hg38_CYP1A1', 'bio/hg38_HSPA1A', 'bio/hg38_HNF4A', 'bio/hg38_LTA', 'bio/hg38_HLA-DQB1', 'bio/hg38_NR1I3', 'bio/hg38_POU5F1', 'bio/hg38_HSPA1L'], 'bio/CHEMBL163': ['bio/hg38_APOE', 'bio/hg38_APOC3'], 'bio/CHEMBL189963': ['bio/hg38_ESR2', 'bio/hg38_ERBB2', 'bio/hg38_ESR1', 'bio/hg38_PGR'], 'bio/CHEMBL436921': ['bio/hg38_ESR1'], 'bio/PA165958360': ['bio/hg38_F5'], 'bio/CHEMBL1294': ['bio/hg38_SCN5A'], 'bio/CHEMBL785': ['bio/hg38_ADRB2'], 'bio/CHEMBL838': ['bio/hg38_AGT', 'bio/hg38_ADRB2'], 'bio/CHEMBL636': ['bio/hg38_BCHE', 'bio/hg38_CHRNA7', 'bio/hg38_CHAT', 'bio/hg38_ACHE'], 'bio/CHEMBL939': ['bio/hg38_SIRT2', 'bio/hg38_NFKBIA', 'bio/hg38_RELA', 'bio/hg38_IKBKB', 'bio/hg38_NR1H2', 'bio/hg38_IKBKE', 'bio/hg38_EGFR', 'bio/hg38_ERBB4', 'bio/hg38_TAB2', 'bio/hg38_ERBB2', 'bio/hg38_NFKBIB', 'bio/hg38_ERBB3', 'bio/hg38_MAP3K1'], 'bio/CHEMBL809': ['bio/hg38_HTR1A', 'bio/hg38_REEP5'], 'bio/CHEMBL490': ['bio/hg38_HTR1B', 'bio/hg38_GDNF', 'bio/hg38_BDNF', 'bio/hg38_TPH1', 'bio/hg38_HTR1A', 'bio/hg38_ADM', 'bio/hg38_REEP5', 'bio/hg38_DRD3'], 'bio/CHEMBL1679': ['bio/hg38_SELE', 'bio/hg38_DPYD', 'bio/hg38_VEGFA', 'bio/hg38_EGFR', 'bio/hg38_ABCG1'], 'bio/CHEMBL741': ['bio/hg38_SLC22A1', 'bio/hg38_HLA-B', 'bio/hg38_HNF4A', 'bio/hg38_HLA-DQB1'], 'bio/CHEMBL2106240': ['bio/hg38_SULT1A1', 'bio/hg38_ESR1'], 'bio/CHEMBL631': ['bio/hg38_SCN5A'], 'bio/PA451261': ['bio/hg38_TGFB1', 'bio/hg38_FCGR2A', 'bio/hg38_CXCL13', 'bio/hg38_MS4A1', 'bio/hg38_IL6', 'bio/hg38_IL2', 'bio/hg38_FCGR3A'], 'bio/CHEMBL1066': ['bio/hg38_ARRB2', 'bio/hg38_SULT1A3', 'bio/hg38_SLC22A1'], 'bio/PA164920420': ['bio/hg38_ESR2', 'bio/hg38_PGR', 'bio/hg38_ESR1', 'bio/hg38_ERBB2', 'bio/hg38_BRCA2', 'bio/hg38_BRCA1'], 'bio/CHEMBL787': ['bio/hg38_LTA4H', 'bio/hg38_SLCO2B1', 'bio/hg38_CYSLTR1', 'bio/hg38_ALOX5', 'bio/hg38_LTC4S'], 'bio/CHEMBL714': ['bio/hg38_CRHR2', 'bio/hg38_ADRB2', 'bio/hg38_DUSP1'], 'bio/CHEMBL192': ['bio/hg38_VEGFA'], 'bio/PA134308647': ['bio/hg38_SLCO2B1', 'bio/hg38_ABCB11', 'bio/hg38_CRP'], 'bio/CHEMBL57': ['bio/hg38_HLA-B', 'bio/hg38_PSORS1C1', 'bio/hg38_CCHCR1', 'bio/hg38_HCP5', 'bio/hg38_TRAF3IP2', 'bio/hg38_HLA-DQB1'], 'bio/PA151249535': ['bio/hg38_PDE4D', 'bio/hg38_ADRB2', 'bio/hg38_NEDD4L', 'bio/hg38_NELFCD'], 'bio/CHEMBL417': ['bio/hg38_CYP1B1', 'bio/hg38_PERP', 'bio/hg38_RBX1', 'bio/hg38_CYP19A1', 'bio/hg38_FOXO1', 'bio/hg38_TOP2A', 'bio/hg38_NOS1', 'bio/hg38_TP53', 'bio/hg38_IRS1', 'bio/hg38_RAB27A', 'bio/hg38_TNFSF13B', 'bio/hg38_PON1'], 'bio/PA166048654': ['bio/hg38_TIRAP', 'bio/hg38_TLR5', 'bio/hg38_IL23A', 'bio/hg38_IL12B'], 'bio/PA152031327': ['bio/hg38_EGFR'], 'bio/PA449319': ['bio/hg38_ADRB2'], 'bio/PA452640': ['bio/hg38_AGT', 'bio/hg38_BDKRB2'], 'bio/CHEMBL434': ['bio/hg38_ADRA2A', 'bio/hg38_ADRA1D', 'bio/hg38_ADRB2'], 'bio/PA165290933': ['bio/hg38_ESR2', 'bio/hg38_ERBB2', 'bio/hg38_ESR1', 'bio/hg38_PGR'], 'bio/PA164712541': ['bio/hg38_ADRB2'], 'bio/PA166184558': ['bio/hg38_KRAS', 'bio/hg38_EGFR', 'bio/hg38_ALK'], 'bio/CHEMBL2105758': ['bio/hg38_F5', 'bio/hg38_F2', 'bio/hg38_PROS1', 'bio/hg38_SERPINC1', 'bio/hg38_PROC'], 'bio/CHEMBL1581': ['bio/hg38_BDKRB1', 'bio/hg38_AGTR1'], 'bio/CHEMBL1655': ['bio/hg38_ESR2', 'bio/hg38_ESR1'], 'bio/CHEMBL41': ['bio/hg38_HTR1B', 'bio/hg38_BDNF', 'bio/hg38_TPH1', 'bio/hg38_CRHR1', 'bio/hg38_HTR1A', 'bio/hg38_REEP5', 'bio/hg38_GSK3B'], 'bio/CHEMBL3301610': ['bio/hg38_ESR2', 'bio/hg38_ERBB2', 'bio/hg38_ESR1', 'bio/hg38_PGR'], 'bio/PA166182756': ['bio/hg38_TTR'], 'bio/PA166129522': ['bio/hg38_EGFR', 'bio/hg38_CD274', 'bio/hg38_ALK'], 'bio/CHEMBL1173055': ['bio/hg38_PARP1', 'bio/hg38_BRCA2', 'bio/hg38_BRCA1'], 'bio/CHEMBL1513': ['bio/hg38_AGT', 'bio/hg38_APOB', 'bio/hg38_EDN1'], 'bio/CHEMBL70': ['bio/hg38_SULT1A3', 'bio/hg38_SLC22A1', 'bio/hg38_RHBDF2', 'bio/hg38_OPRK1', 'bio/hg38_KCNJ6', 'bio/hg38_TAOK3', 'bio/hg38_FAAH'], 'bio/CHEMBL24': ['bio/hg38_AGT', 'bio/hg38_ADRA2A', 'bio/hg38_LRRC15', 'bio/hg38_PRKCB', 'bio/hg38_GALNT2', 'bio/hg38_ADRB2', 'bio/hg38_PTGS2', 'bio/hg38_PROX1', 'bio/hg38_EDN1', 'bio/hg38_PLA2G4A', 'bio/hg38_LDLR', 'bio/hg38_ALDH1A2'], 'bio/CHEMBL654': ['bio/hg38_GAL'], 'bio/CHEMBL633': ['bio/hg38_SCN5A'], 'bio/CHEMBL776': ['bio/hg38_ADRB2'], 'bio/PA452637': ['bio/hg38_ABO', 'bio/hg38_F5', 'bio/hg38_F2', 'bio/hg38_KNG1', 'bio/hg38_F11'], 'bio/PA164713176': ['bio/hg38_IL16', 'bio/hg38_RRM1', 'bio/hg38_NQO1', 'bio/hg38_APEX1', 'bio/hg38_AXIN2', 'bio/hg38_OGG1', 'bio/hg38_WNT5B', 'bio/hg38_MSH3', 'bio/hg38_HSPA5', 'bio/hg38_SLC22A2', 'bio/hg38_IGF2', 'bio/hg38_MDM2', 'bio/hg38_XBP1', 'bio/hg38_CASP7', 'bio/hg38_WIF1'], 'bio/CHEMBL558': ['bio/hg38_SCN5A'], 'bio/CHEMBL1235644': ['bio/hg38_PML', 'bio/hg38_RARA'], 'bio/CHEMBL32800': ['bio/hg38_ADRB2'], 'bio/CHEMBL255863': ['bio/hg38_ABL1'], 'bio/CHEMBL376185': ['bio/hg38_HLA-B'], 'bio/CHEMBL1773': ['bio/hg38_SELE', 'bio/hg38_PTEN', 'bio/hg38_DPYD', 'bio/hg38_CYP1A1', 'bio/hg38_SLC22A7', 'bio/hg38_TYMP', 'bio/hg38_DLG5', 'bio/hg38_PTGS2', 'bio/hg38_EXO1', 'bio/hg38_VEGFA', 'bio/hg38_SPARC', 'bio/hg38_CYP19A1', 'bio/hg38_CDA', 'bio/hg38_AREG'], 'bio/CHEMBL637': ['bio/hg38_HTR1B'], 'bio/CHEMBL716': ['bio/hg38_MC4R', 'bio/hg38_RGS4', 'bio/hg38_HTR1A', 'bio/hg38_PDE4D', 'bio/hg38_CNR1', 'bio/hg38_EIF2AK4', 'bio/hg38_FAAH', 'bio/hg38_DRD3'], 'bio/CHEMBL440464': ['bio/hg38_CHRM2', 'bio/hg38_CHRNA7', 'bio/hg38_CHRNA3', 'bio/hg38_CHRNA4', 'bio/hg38_DDC', 'bio/hg38_HINT1'], 'bio/CHEMBL1229517': ['bio/hg38_KRAS', 'bio/hg38_NRAS', 'bio/hg38_HRAS'], 'bio/CHEMBL549': ['bio/hg38_IL11', 'bio/hg38_NEDD4L', 'bio/hg38_HTR1B', 'bio/hg38_CREB1', 'bio/hg38_GRK5', 'bio/hg38_RORA', 'bio/hg38_BDNF', 'bio/hg38_CRHR2', 'bio/hg38_DTNBP1', 'bio/hg38_GSK3B', 'bio/hg38_TPH1', 'bio/hg38_REEP5'], 'bio/CHEMBL79': ['bio/hg38_SCN5A'], 'bio/CHEMBL289469': ['bio/hg38_CYP1A1', 'bio/hg38_TACR1'], 'bio/CHEMBL1444': ['bio/hg38_ESR2', 'bio/hg38_PGR', 'bio/hg38_ESR1', 'bio/hg38_TNFRSF11B', 'bio/hg38_TNFSF11', 'bio/hg38_CYP19A1'], 'bio/PA450353': ['bio/hg38_PTGS2'], 'bio/CHEMBL652': ['bio/hg38_SCN5A'], 'bio/CHEMBL218394': ['bio/hg38_IFNL3', 'bio/hg38_SLC28A2'], 'bio/CHEMBL1201772': ['bio/hg38_P2RY12', 'bio/hg38_NTRK1'], 'bio/CHEMBL1095777': ['bio/hg38_ADRB2'], 'bio/CHEMBL1005': ['bio/hg38_ADRB2'], 'bio/CHEMBL1201201': ['bio/hg38_ARRB2', 'bio/hg38_BDNF', 'bio/hg38_HTR1A', 'bio/hg38_ESR1', 'bio/hg38_DTNBP1', 'bio/hg38_FAAH', 'bio/hg38_DRD3'], 'bio/CHEMBL1560': ['bio/hg38_ACE2', 'bio/hg38_AGTR1'], 'bio/PA449509': ['bio/hg38_SULT1A1', 'bio/hg38_F5'], 'bio/CHEMBL2107831': ['bio/hg38_F5', 'bio/hg38_F2', 'bio/hg38_PROS1', 'bio/hg38_SERPINC1', 'bio/hg38_PROC'], 'bio/CHEMBL163238': ['bio/hg38_SCN5A'], 'bio/PA165981594': ['bio/hg38_SERPINC1', 'bio/hg38_F5'], 'bio/PA164749390': ['bio/hg38_SLC29A1', 'bio/hg38_CXCL10', 'bio/hg38_HLA-B', 'bio/hg38_SCARB1', 'bio/hg38_IFNL3', 'bio/hg38_IL6', 'bio/hg38_EGFR', 'bio/hg38_LDLR', 'bio/hg38_MICB'], 'bio/CHEMBL2396661': ['bio/hg38_ESR2', 'bio/hg38_ERBB2', 'bio/hg38_ESR1', 'bio/hg38_PIK3CA'], 'bio/CHEMBL2103837': ['bio/hg38_TTR'], 'bio/PA449167': ['bio/hg38_UMOD'], 'bio/PA10389': ['bio/hg38_SCN5A'], 'bio/CHEMBL112': ['bio/hg38_SULT1A3', 'bio/hg38_TNFRSF11A', 'bio/hg38_SULT1A1', 'bio/hg38_HLA-B', 'bio/hg38_PLA2G4A', 'bio/hg38_HLA-DQB1', 'bio/hg38_NPIPB8', 'bio/hg38_SULT2A1'], 'bio/CHEMBL1237': ['bio/hg38_AGT', 'bio/hg38_MMP3', 'bio/hg38_BDKRB2'], 'bio/PA164712789': ['bio/hg38_IL4R', 'bio/hg38_IL13'], 'bio/PA130620651': ['bio/hg38_CYP4F2', 'bio/hg38_SLC22A2', 'bio/hg38_HNMT', 'bio/hg38_SLC28A3', 'bio/hg38_NQO1', 'bio/hg38_CAT', 'bio/hg38_ABCB4'], 'bio/PA165984462': ['bio/hg38_F13A1', 'bio/hg38_CFH'], 'bio/CHEMBL170365': ['bio/hg38_ALDH2', 'bio/hg38_PGM1'], 'bio/CHEMBL445': ['bio/hg38_BDNF', 'bio/hg38_UST', 'bio/hg38_SLC39A14'], 'bio/PA150481189': ['bio/hg38_VEGFA', 'bio/hg38_SCN10A', 'bio/hg38_GSR'], 'bio/PA452229': ['bio/hg38_BDNF', 'bio/hg38_CREB1', 'bio/hg38_TPH1', 'bio/hg38_CRHR1', 'bio/hg38_HTR1A', 'bio/hg38_NTRK2', 'bio/hg38_GAL', 'bio/hg38_CRH', 'bio/hg38_FHIT', 'bio/hg38_CTNNA3'], 'bio/CHEMBL4303580': ['bio/hg38_ITGB3', 'bio/hg38_FGG', 'bio/hg38_ITGA2B'], 'bio/PA164750594': ['bio/hg38_IL2RA'], 'bio/CHEMBL58': ['bio/hg38_C10orf67'], 'bio/CHEMBL301523': ['bio/hg38_PAH'], 'bio/CHEMBL4101807': ['bio/hg38_HBB'], 'bio/CHEMBL16': ['bio/hg38_EPHX1', 'bio/hg38_HLA-B', 'bio/hg38_CYP1A1', 'bio/hg38_CFHR4', 'bio/hg38_POU5F1'], 'bio/PA164712734': ['bio/hg38_A2M'], 'bio/PA165290926': ['bio/hg38_CRHR1'], 'bio/CHEMBL178': ['bio/hg38_SLC28A3'], 'bio/CHEMBL1451': ['bio/hg38_CRHR1', 'bio/hg38_GLCCI1'], 'bio/PA452233': ['bio/hg38_MC4R', 'bio/hg38_HTR1A', 'bio/hg38_LEPR', 'bio/hg38_BDNF', 'bio/hg38_ZNF804A', 'bio/hg38_NRG1', 'bio/hg38_LEP', 'bio/hg38_HSPG2', 'bio/hg38_NRXN1', 'bio/hg38_RGS4'], 'bio/PA448681': ['bio/hg38_CRHR1', 'bio/hg38_GLCCI1'], 'bio/PA134687887': ['bio/hg38_ARG1', 'bio/hg38_CRHR2'], 'bio/CHEMBL396416': ['bio/hg38_PAH'], 'bio/PA166190001': ['bio/hg38_HBB'], 'bio/PA452621': ['bio/hg38_DPYD', 'bio/hg38_TP53'], 'bio/PA448006': ['bio/hg38_ITGB3', 'bio/hg38_FGG', 'bio/hg38_ITGA2B'], 'bio/CHEMBL64': ['bio/hg38_NOS2', 'bio/hg38_HLA-DQB1', 'bio/hg38_XPO1'], 'bio/CHEMBL1201776': ['bio/hg38_NPIPB8', 'bio/hg38_SULT1A3', 'bio/hg38_SULT1A1'], 'bio/PA166115366': ['bio/hg38_GBA'], 'bio/CHEMBL1082': ['bio/hg38_HLA-B', 'bio/hg38_HLA-DRB5', 'bio/hg38_HLA-DQB1', 'bio/hg38_HLA-DRA'], 'bio/CHEMBL777': ['bio/hg38_HLA-B', 'bio/hg38_HLA-DRB5', 'bio/hg38_HLA-DQB1', 'bio/hg38_HLA-DRA'], 'bio/CHEMBL109': ['bio/hg38_HLA-B', 'bio/hg38_CYP1A1', 'bio/hg38_LEPR', 'bio/hg38_HDAC11', 'bio/hg38_OGDH', 'bio/hg38_HDAC1', 'bio/hg38_COL1A1', 'bio/hg38_HDAC9'], 'bio/PA166163690': ['bio/hg38_NPIPB8', 'bio/hg38_SULT1A1'], 'bio/CHEMBL916': ['bio/hg38_ITGB3', 'bio/hg38_FGG', 'bio/hg38_ITGA2B'], 'bio/PA165948903': ['bio/hg38_TNFRSF8', 'bio/hg38_ALK'], 'bio/CHEMBL820': ['bio/hg38_ABL1'], 'bio/PA449197': ['bio/hg38_CYP1A1'], 'bio/PA452618': ['bio/hg38_KAT2B', 'bio/hg38_HNF1A', 'bio/hg38_FAAH', 'bio/hg38_DRD3', 'bio/hg38_TH', 'bio/hg38_RHBDF2', 'bio/hg38_PDYN', 'bio/hg38_OPRK1', 'bio/hg38_TAOK3', 'bio/hg38_ADRA2A', 'bio/hg38_BDNF', 'bio/hg38_HTR3A', 'bio/hg38_OPRL1', 'bio/hg38_ARRB2', 'bio/hg38_IL17A', 'bio/hg38_GAL', 'bio/hg38_MUC16'], 'bio/PA451999': ['bio/hg38_HLA-B', 'bio/hg38_IFNL3', 'bio/hg38_STAT3'], 'bio/CHEMBL614': ['bio/hg38_HLA-DQB1'], 'bio/PA166176020': ['bio/hg38_ARG1'], 'bio/PA451881': ['bio/hg38_CASP7'], 'bio/CHEMBL222645': ['bio/hg38_HLA-B', 'bio/hg38_ST6GAL1', 'bio/hg38_HLA-DQB1', 'bio/hg38_HLA-DRA'], 'bio/PA164712708': ['bio/hg38_HLA-DQB1', 'bio/hg38_XPO1'], 'bio/CHEMBL578211': ['bio/hg38_CHRNA3'], 'bio/CHEMBL567': ['bio/hg38_RGS4'], 'bio/PA166122986': ['bio/hg38_CDK1', 'bio/hg38_CYP19A1', 'bio/hg38_OGG1', 'bio/hg38_MSH3', 'bio/hg38_PRKCE', 'bio/hg38_AREG'], 'bio/PA165292659': ['bio/hg38_CD69', 'bio/hg38_FCGR3A', 'bio/hg38_IL6R'], 'bio/CHEMBL40': ['bio/hg38_HLA-B', 'bio/hg38_CYP1A1'], 'bio/CHEMBL1009': ['bio/hg38_SLC22A1', 'bio/hg38_SLC6A3', 'bio/hg38_HOMER1', 'bio/hg38_DRD3'], 'bio/PA166183787': ['bio/hg38_DPYD'], 'bio/CHEMBL601719': ['bio/hg38_ALK', 'bio/hg38_MET'], 'bio/CHEMBL295698': ['bio/hg38_CYP4F2'], 'bio/CHEMBL1171837': ['bio/hg38_ABL1'], 'bio/CHEMBL1508': ['bio/hg38_HTR1B', 'bio/hg38_BDNF', 'bio/hg38_TPH1', 'bio/hg38_IL11', 'bio/hg38_GRK5'], 'bio/PA10268': ['bio/hg38_NFKB1'], 'bio/CHEMBL810': ['bio/hg38_MGMT', 'bio/hg38_HDAC4'], 'bio/CHEMBL16694': ['bio/hg38_CYP4F2', 'bio/hg38_EPHX1', 'bio/hg38_STX4', 'bio/hg38_VKORC1', 'bio/hg38_PROC'], 'bio/CHEMBL651': ['bio/hg38_OPRK1', 'bio/hg38_NTRK2', 'bio/hg38_BDNF', 'bio/hg38_CDH2', 'bio/hg38_CCL11', 'bio/hg38_KCNJ6', 'bio/hg38_NGF'], 'bio/CHEMBL1112': ['bio/hg38_MC4R', 'bio/hg38_CNR1', 'bio/hg38_FAAH'], 'bio/CHEMBL459324': ['bio/hg38_BDNF', 'bio/hg38_ALDH2', 'bio/hg38_CSNK1E', 'bio/hg38_OPRK1', 'bio/hg38_GAL'], 'bio/CHEMBL506': ['bio/hg38_IKBKG'], 'bio/PA449298': ['bio/hg38_NQO1'], 'bio/CHEMBL1068': ['bio/hg38_HLA-B'], 'bio/CHEMBL47': ['bio/hg38_CYP4F2'], 'bio/CHEMBL1486': ['bio/hg38_SLC28A2', 'bio/hg38_CYP24A1', 'bio/hg38_CYP27B1'], 'bio/PA164713257': ['bio/hg38_ADRA2A', 'bio/hg38_BDNF', 'bio/hg38_TPH1', 'bio/hg38_HTR7', 'bio/hg38_HTR1A', 'bio/hg38_GAL'], 'bio/CHEMBL1400': ['bio/hg38_SULT1A3', 'bio/hg38_SLC22A1'], 'bio/PA131890620': ['bio/hg38_KAT2B', 'bio/hg38_FAAH'], 'bio/CHEMBL964': ['bio/hg38_SLC6A3'], 'bio/PA164712445': ['bio/hg38_ATP2B1', 'bio/hg38_GRK5'], 'bio/CHEMBL72': ['bio/hg38_MC1R', 'bio/hg38_BDNF'], 'bio/CHEMBL4303318': ['bio/hg38_IFNL3'], 'bio/PA134698661': ['bio/hg38_CYSLTR1'], 'bio/PA143485705': ['bio/hg38_HLA-B'], 'bio/PA164712462': ['bio/hg38_AGT', 'bio/hg38_PTGS1', 'bio/hg38_CDKN2B-AS1', 'bio/hg38_BDNF', 'bio/hg38_PTGS2'], 'bio/PA164924492': ['bio/hg38_KDR', 'bio/hg38_FGFR2', 'bio/hg38_FGFR1', 'bio/hg38_FGFR1OP'], 'bio/CHEMBL603': ['bio/hg38_CYSLTR1'], 'bio/CHEMBL682': ['bio/hg38_CYP1A1', 'bio/hg38_CYP1B1'], 'bio/PA151958596': ['bio/hg38_CFTR'], 'bio/CHEMBL150361': ['bio/hg38_HLA-DQB1'], 'bio/CHEMBL803': ['bio/hg38_P2RY12', 'bio/hg38_CDA', 'bio/hg38_RRM1'], 'bio/CHEMBL623': ['bio/hg38_HTR1B'], 'bio/CHEMBL277500': ['bio/hg38_NQO1'], 'bio/CHEMBL231813': ['bio/hg38_CYP24A1', 'bio/hg38_IFNL3'], 'bio/CHEMBL36': ['bio/hg38_IKBKG'], 'bio/CHEMBL415': ['bio/hg38_HTR1B'], 'bio/PA150595617': ['bio/hg38_HNF1B', 'bio/hg38_LRP1'], 'bio/CHEMBL1463': ['bio/hg38_DPYD'], 'bio/PA164746012': ['bio/hg38_CFH', 'bio/hg38_VEGFA', 'bio/hg38_HTRA1', 'bio/hg38_NRP1', 'bio/hg38_FHIT'], 'bio/CHEMBL1055': ['bio/hg38_AGT', 'bio/hg38_MMP3'], 'bio/CHEMBL1621': ['bio/hg38_MC4R', 'bio/hg38_ERBB4'], 'bio/CHEMBL991': ['bio/hg38_SAMHD1', 'bio/hg38_HLA-B'], 'bio/CHEMBL429405': ['bio/hg38_SLC7A5'], 'bio/PA164712718': ['bio/hg38_GATA4'], 'bio/CHEMBL243712': ['bio/hg38_HTR1A', 'bio/hg38_MC4R'], 'bio/PA164779048': ['bio/hg38_IDO1', 'bio/hg38_HLA-B'], 'bio/CHEMBL129': ['bio/hg38_SLC28A3', 'bio/hg38_SLC22A7'], 'bio/PA166163438': ['bio/hg38_IFNL3'], 'bio/CHEMBL190': ['bio/hg38_XDH'], 'bio/CHEMBL141': ['bio/hg38_SLC22A1', 'bio/hg38_HLA-B', 'bio/hg38_SLC22A2', 'bio/hg38_NT5C', 'bio/hg38_PGK1'], 'bio/CHEMBL1621884': ['bio/hg38_HTR1A'], 'bio/PA165906891': ['bio/hg38_RET'], 'bio/CHEMBL485': ['bio/hg38_SLC22A1'], 'bio/PA164713220': ['bio/hg38_DPYD'], 'bio/PA164745614': ['bio/hg38_CYP2R1'], 'bio/PA164712563': ['bio/hg38_SFRP5', 'bio/hg38_ALDH1A2'], 'bio/CHEMBL1592': ['bio/hg38_AGT'], 'bio/CHEMBL1539': ['bio/hg38_IKBKG'], 'bio/PA165111697': ['bio/hg38_IKBKG'], 'bio/CHEMBL475534': ['bio/hg38_AGTR1'], 'bio/CHEMBL1129': ['bio/hg38_SLC29A1'], 'bio/PA164743704': ['bio/hg38_FCGR3A'], 'bio/CHEMBL1076903': ['bio/hg38_CHRNA4'], 'bio/CHEMBL2103870': ['bio/hg38_CFTR'], 'bio/CHEMBL44': ['bio/hg38_CFTR'], 'bio/PA451446': ['bio/hg38_CDK4', 'bio/hg38_COL1A1'], 'bio/CHEMBL1172': ['bio/hg38_FCER1A', 'bio/hg38_HRH1'], 'bio/CHEMBL3989939': ['bio/hg38_NTRK2', 'bio/hg38_NTRK1'], 'bio/PA166179845': ['bio/hg38_CFTR'], 'bio/CHEMBL746': ['bio/hg38_GLCCI1'], 'bio/PA166163427': ['bio/hg38_IFNL3'], 'bio/CHEMBL660': ['bio/hg38_SLC22A1'], 'bio/CHEMBL256997': ['bio/hg38_CFTR'], 'bio/PA164712406': ['bio/hg38_LGALS3'], 'bio/PA166177517': ['bio/hg38_IFNL3'], 'bio/CHEMBL1512': ['bio/hg38_GLCCI1'], 'bio/CHEMBL792': ['bio/hg38_PADI4'], 'bio/PA164712720': ['bio/hg38_CHRNA3'], 'bio/CHEMBL1983268': ['bio/hg38_NTRK2', 'bio/hg38_NTRK1'], 'bio/PA164712950': ['bio/hg38_CHRNA3'], 'bio/PA164712697': ['bio/hg38_SLC22A1'], 'bio/CHEMBL77921': ['bio/hg38_PRKCB', 'bio/hg38_ADRA2A'], 'bio/PA166153449': ['bio/hg38_CFTR'], 'bio/PA166163408': ['bio/hg38_IFNL3'], 'bio/CHEMBL1259059': ['bio/hg38_IFNL3'], 'bio/CHEMBL3989910': ['bio/hg38_CFTR'], 'bio/PA10407': ['bio/hg38_PICALM'], 'bio/PA164712362': ['bio/hg38_BDNF', 'bio/hg38_KCNJ6'], 'bio/CHEMBL3301622': ['bio/hg38_FLT3'], 'bio/PA166171182': ['bio/hg38_IFNL3'], 'bio/PA165983754': ['bio/hg38_IL4R'], 'bio/CHEMBL608533': ['bio/hg38_KIT', 'bio/hg38_FLT3'], 'bio/CHEMBL2010601': ['bio/hg38_CFTR'], 'bio/PA166152935': ['bio/hg38_CFTR'], 'bio/PA452347': ['bio/hg38_GLCCI1'], 'bio/CHEMBL2403318': ['bio/hg38_IFNL3'], 'bio/PA166190221': ['bio/hg38_SERPINC1', 'bio/hg38_PROS1', 'bio/hg38_PROC'], 'bio/CHEMBL65375': ['bio/hg38_SLC29A1'], 'bio/PA164712420': ['bio/hg38_SLC22A1'], 'bio/PA164712431': ['bio/hg38_SLC22A1'], 'bio/CHEMBL3137312': ['bio/hg38_IFNL3'], 'bio/PA161925594': ['bio/hg38_SLC22A1'], 'bio/CHEMBL1241348': ['bio/hg38_IFNL3'], 'bio/PA166190041': ['bio/hg38_CFTR'], 'bio/CHEMBL972': ['bio/hg38_SLC22A1'], 'bio/CHEMBL602': ['bio/hg38_CFTR'], 'bio/CHEMBL1256759': ['bio/hg38_CFTR'], 'bio/CHEMBL2023898': ['bio/hg38_IFNL3'], 'bio/PA448492': ['bio/hg38_NFATC2'], 'bio/PA162356187': ['bio/hg38_EDN1', 'bio/hg38_REN'], 'bio/CHEMBL1377': ['bio/hg38_SLC22A1'], 'bio/CHEMBL3544914': ['bio/hg38_CFTR'], 'bio/CHEMBL2374220': ['bio/hg38_IFNL3'], 'bio/CHEMBL3137309': ['bio/hg38_TP53', 'bio/hg38_FLT3', 'bio/hg38_IDH1'], 'bio/CHEMBL1276421': ['bio/hg38_TACR1'], 'bio/PA166163416': ['bio/hg38_IFNL3'], 'bio/PA166160002': ['bio/hg38_IFNL3'], 'bio/CHEMBL3545062': ['bio/hg38_IFNL3'], 'bio/CHEMBL521': ['bio/hg38_PTGS1', 'bio/hg38_NOS2', 'bio/hg38_NOS1', 'bio/hg38_UGT2B17', 'bio/hg38_PTGS2', 'bio/hg38_FAAH'], 'bio/CHEMBL398435': ['bio/hg38_P2RY12'], 'bio/CHEMBL600': ['bio/hg38_TOLLIP'], 'bio/CHEMBL128': ['bio/hg38_BDNF'], 'bio/CHEMBL986': ['bio/hg38_ALDH1A1'], 'bio/CHEMBL121': ['bio/hg38_PLIN1', 'bio/hg38_PAX4'], 'bio/CHEMBL205596': ['bio/hg38_CYP7A1', 'bio/hg38_CYP27A1', 'bio/hg38_DHCR7'], 'bio/CHEMBL404108': ['bio/hg38_HLA-DQB1', 'bio/hg38_PTGS2'], 'bio/PA164749431': ['bio/hg38_CD33'], 'bio/PA164712669': ['bio/hg38_PTGS2'], 'bio/CHEMBL1272': ['bio/hg38_SLC30A8', 'bio/hg38_PAX4'], 'bio/CHEMBL56367': ['bio/hg38_PTGS2'], 'bio/PA165980614': ['bio/hg38_VKORC1'], 'bio/CHEMBL1016': ['bio/hg38_SH2B3', 'bio/hg38_AGTR1', 'bio/hg38_GPR83'], 'bio/PA164712741': ['bio/hg38_BDNF'], 'bio/PA164776637': ['bio/hg38_CFH', 'bio/hg38_CR1', 'bio/hg38_C5'], 'bio/PA166184566': ['bio/hg38_KRAS', 'bio/hg38_ERBB2'], 'bio/CHEMBL1201236': ['bio/hg38_DDC'], 'bio/CHEMBL506976': ['bio/hg38_ALDH1A1'], 'bio/CHEMBL12952': ['bio/hg38_PTGS2'], 'bio/CHEMBL750': ['bio/hg38_HLA-B'], 'bio/CHEMBL6': ['bio/hg38_PTGS2'], 'bio/CHEMBL416146': ['bio/hg38_PTGS2'], 'bio/CHEMBL865': ['bio/hg38_PTGS2'], 'bio/CHEMBL1043': ['bio/hg38_HLA-B'], 'bio/CHEMBL1593': ['bio/hg38_ALDH1A1'], 'bio/CHEMBL122': ['bio/hg38_PTGS2'], 'bio/PA448486': ['bio/hg38_PML', 'bio/hg38_RARA', 'bio/hg38_MT1A'], 'bio/PA10402': ['bio/hg38_GAL'], 'bio/CHEMBL842': ['bio/hg38_HMGCS2'], 'bio/CHEMBL622': ['bio/hg38_PTGS2'], 'bio/PA10384': ['bio/hg38_PTGS1', 'bio/hg38_PTGS2'], 'bio/PA164713347': ['bio/hg38_SLCO2A1', 'bio/hg38_AGTR1', 'bio/hg38_NELFCD'], 'bio/CHEMBL139': ['bio/hg38_TNFRSF11A', 'bio/hg38_PTGS2', 'bio/hg38_PLA2G4A'], 'bio/PA451668': ['bio/hg38_ALDH1A1'], 'bio/CHEMBL249420': ['bio/hg38_DRD3'], 'bio/CHEMBL1200862': ['bio/hg38_TH'], 'bio/CHEMBL1619': ['bio/hg38_RRM1'], 'bio/PA166118342': ['bio/hg38_VEGFC', 'bio/hg38_VEGFB', 'bio/hg38_VEGFA'], 'bio/PA451547': ['bio/hg38_HLA-B'], 'bio/PA164771236': ['bio/hg38_VEGFA'], 'bio/PA451140': ['bio/hg38_PLA2G4A', 'bio/hg38_TNFRSF11A'], 'bio/CHEMBL364375': ['bio/hg38_PTGS1'], 'bio/CHEMBL3137320': ['bio/hg38_ERBB2', 'bio/hg38_BRCA1', 'bio/hg38_BRCA2'], 'bio/PA450039': ['bio/hg38_CD58', 'bio/hg38_FHIT', 'bio/hg38_IRF6'], 'bio/PA164713217': ['bio/hg38_PLA2G4A', 'bio/hg38_TNFRSF11A'], 'bio/PA451159': ['bio/hg38_SLC28A2'], 'bio/CHEMBL833': ['bio/hg38_P2RY12', 'bio/hg38_HLA-B', 'bio/hg38_HLA-DQB1'], 'bio/CHEMBL1094636': ['bio/hg38_BRCA1', 'bio/hg38_BRCA2'], 'bio/CHEMBL609587': ['bio/hg38_SULT1A1'], 'bio/CHEMBL1437': ['bio/hg38_ADRA2A', 'bio/hg38_ADRA1D'], 'bio/PA10715': ['bio/hg38_HLA-B'], 'bio/CHEMBL426559': ['bio/hg38_PTGDR'], 'bio/PA166163434': ['bio/hg38_PDGFRA'], 'bio/CHEMBL40274': ['bio/hg38_TXNRD1'], 'bio/PA10390': ['bio/hg38_ABCC8'], 'bio/PA450037': ['bio/hg38_CD58', 'bio/hg38_RORA', 'bio/hg38_HLA-B', 'bio/hg38_IRF6', 'bio/hg38_FHIT'], 'bio/CHEMBL334966': ['bio/hg38_P2RY12'], 'bio/PA166182885': ['bio/hg38_BCHE'], 'bio/CHEMBL1182833': ['bio/hg38_BCHE'], 'bio/CHEMBL870': ['bio/hg38_MVK'], 'bio/PA166159961': ['bio/hg38_LDLR'], 'bio/PA166160027': ['bio/hg38_LDLR'], 'bio/PA164713150': ['bio/hg38_CASR'], 'bio/CHEMBL703': ['bio/hg38_BCHE'], 'bio/PA166114927': ['bio/hg38_LDLR'], 'bio/CHEMBL59': ['bio/hg38_ADRA2A', 'bio/hg38_ADRA1D'], 'bio/CHEMBL1460': ['bio/hg38_XDH'], 'bio/PA450519': ['bio/hg38_HLA-B'], 'bio/PA450529': ['bio/hg38_BCHE'], 'bio/PA164712344': ['bio/hg38_ADRA1D'], 'bio/CHEMBL524': ['bio/hg38_ADRA1D'], 'bio/CHEMBL1518': ['bio/hg38_HLA-B'], 'bio/CHEMBL3545376': ['bio/hg38_FGFR2'], 'bio/CHEMBL255044': ['bio/hg38_HLA-DQB1'], 'bio/CHEMBL80830': ['bio/hg38_HLA-DQB1'], 'bio/CHEMBL2107359': ['bio/hg38_CYP4F2'], 'bio/PA164712830': ['bio/hg38_HLA-DQB1'], 'bio/CHEMBL572881': ['bio/hg38_FLT1', 'bio/hg38_KDR'], 'bio/CHEMBL94454': ['bio/hg38_FCER1A'], 'bio/CHEMBL1489': ['bio/hg38_CDA'], 'bio/CHEMBL1550': ['bio/hg38_CYP4F2'], 'bio/PA165958441': ['bio/hg38_ERBB2'], 'bio/CHEMBL565': ['bio/hg38_CYP4F2'], 'bio/PA166190621': ['bio/hg38_ERBB2'], 'bio/PA164713404': ['bio/hg38_CYP4F2'], 'bio/CHEMBL573': ['bio/hg38_HCAR2'], 'bio/CHEMBL1515': ['bio/hg38_HLA-B'], 'bio/CHEMBL467': ['bio/hg38_MAP3K5'], 'bio/CHEMBL1335656': ['bio/hg38_HLA-B'], 'bio/CHEMBL508102': ['bio/hg38_HLA-B'], 'bio/CHEMBL134': ['bio/hg38_ADRA2A'], 'bio/PA166124616': ['bio/hg38_ALK'], 'bio/CHEMBL1873475': ['bio/hg38_BTK'], 'bio/CHEMBL3545311': ['bio/hg38_ALK'], 'bio/CHEMBL1421': ['bio/hg38_ABL1'], 'bio/PA164712711': ['bio/hg38_IRS1'], 'bio/CHEMBL284348': ['bio/hg38_SLC22A2'], 'bio/CHEMBL252923': ['bio/hg38_ADRA2A', 'bio/hg38_HTR1A'], 'bio/PA164748364': ['bio/hg38_MS4A1'], 'bio/CHEMBL54976': ['bio/hg38_SLC22A2'], 'bio/CHEMBL844': ['bio/hg38_ADRA2A'], 'bio/PA164712732': ['bio/hg38_CYP19A1'], 'bio/PA166169875': ['bio/hg38_CD274'], 'bio/CHEMBL93': ['bio/hg38_ALOX5'], 'bio/CHEMBL1282': ['bio/hg38_TLR7'], 'bio/CHEMBL1738797': ['bio/hg38_ALK'], 'bio/PA165291493': ['bio/hg38_MS4A1'], 'bio/PA164781375': ['bio/hg38_MS4A1'], 'bio/PA166122586': ['bio/hg38_MS4A1'], 'bio/CHEMBL3286830': ['bio/hg38_ALK'], 'bio/CHEMBL15245': ['bio/hg38_ADRA2A'], 'bio/CHEMBL1544': ['bio/hg38_HTR1B'], 'bio/PA166169883': ['bio/hg38_CD274'], 'bio/PA164712887': ['bio/hg38_TLR3'], 'bio/PA166114906': ['bio/hg38_ABL1'], 'bio/PA166129524': ['bio/hg38_ABL1'], 'bio/PA451776': ['bio/hg38_CYP19A1'], 'bio/CHEMBL1201336': ['bio/hg38_HLA-B'], 'bio/PA166184503': ['bio/hg38_HLA-B'], 'bio/PA166177510': ['bio/hg38_ABL1'], 'bio/PA166190681': ['bio/hg38_HMBS'], 'bio/PA165290931': ['bio/hg38_MDM2'], 'bio/PA164744571': ['bio/hg38_SLC30A8'], 'bio/CHEMBL3989958': ['bio/hg38_IDH1'], 'bio/PA166184501': ['bio/hg38_HLA-B'], 'bio/PA166131569': ['bio/hg38_CDA'], 'bio/PA166184505': ['bio/hg38_HLA-B'], 'bio/CHEMBL279816': ['bio/hg38_HLA-B'], 'bio/CHEMBL1237021': ['bio/hg38_HTR1A'], 'bio/PA166114929': ['bio/hg38_ABL1'], 'bio/PA164712499': ['bio/hg38_EHMT2', 'bio/hg38_HLA-B'], 'bio/PA166109554': ['bio/hg38_AGTR1'], 'bio/PA166114904': ['bio/hg38_TNFSF13B'], 'bio/PA451961': ['bio/hg38_SLC30A8'], 'bio/CHEMBL20': ['bio/hg38_HLA-B'], 'bio/PA166129559': ['bio/hg38_CYP19A1']})\n", - "520\n", - "\n", - "\n", - "Unranked Candidates with Novel Gene Targets:\n" - ], - "name": "stdout" - }, - { - "output_type": "execute_result", - "data": { - "text/html": [ - "
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candidate_dcidgene_target_list
0bio/CHEMBL960[bio/hg38_DHODH, bio/hg38_ESR1]
1bio/CHEMBL350239[bio/hg38_LIPC, bio/hg38_APOE, bio/hg38_SLCO2B...
2bio/PA164713366[bio/hg38_TNFRSF10A, bio/hg38_SLCO1C1, bio/hg3...
3bio/PA164754825[bio/hg38_CALCA]
4bio/CHEMBL1908360[bio/hg38_ESR2, bio/hg38_MTOR, bio/hg38_ESR1, ...
.........
515bio/PA166109554[bio/hg38_AGTR1]
516bio/PA166114904[bio/hg38_TNFSF13B]
517bio/PA451961[bio/hg38_SLC30A8]
518bio/CHEMBL20[bio/hg38_HLA-B]
519bio/PA166129559[bio/hg38_CYP19A1]
\n", - "

520 rows × 2 columns

\n", - "
" - ], - "text/plain": [ - " candidate_dcid gene_target_list\n", - "0 bio/CHEMBL960 [bio/hg38_DHODH, bio/hg38_ESR1]\n", - "1 bio/CHEMBL350239 [bio/hg38_LIPC, bio/hg38_APOE, bio/hg38_SLCO2B...\n", - "2 bio/PA164713366 [bio/hg38_TNFRSF10A, bio/hg38_SLCO1C1, bio/hg3...\n", - "3 bio/PA164754825 [bio/hg38_CALCA]\n", - "4 bio/CHEMBL1908360 [bio/hg38_ESR2, bio/hg38_MTOR, bio/hg38_ESR1, ...\n", - ".. ... ...\n", - "515 bio/PA166109554 [bio/hg38_AGTR1]\n", - "516 bio/PA166114904 [bio/hg38_TNFSF13B]\n", - "517 bio/PA451961 [bio/hg38_SLC30A8]\n", - "518 bio/CHEMBL20 [bio/hg38_HLA-B]\n", - "519 bio/PA166129559 [bio/hg38_CYP19A1]\n", - "\n", - "[520 rows x 2 columns]" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 0 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "m_EdetU_mBhE" - }, - "source": [ - "The compounds returned in `unranked_candidate_df` are compounds which target disease-associated genes, but these genes are currently not targeted by any known treatment. These compounds could be interesting new treatment approaches, but we will not focus on them for the remainder of this tutorial.\n", - "\n", - "Instead, we will compare the structural similarity of candidate drugs that target the same genes as current treatment drugs. We expect drugs with similar structure to have similar function. We propose that the similarly structured candidate drugs would be good candidates for drug repurposing." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "oGfsxF_sDqP5" - }, - "source": [ - "# Ranking Candidates with RDKit\n", - "In this section, we will be ranking the candidates from the group that shares at least one gene target with a treatment compound. Throughout this section, treatment compounds will be refered to as the reference compounds. To rank the candidates against the reference compounds, we will be using [Tanimoto Coefficients](https://jcheminf.biomedcentral.com/articles/10.1186/s13321-015-0069-3) to quantify the structural similarities between the compounds. \n", - "\n", - "We will be using the Simplified Molecular Input Line Entry System (SMILES) taken from Data Commons to describe the structure of each compound. From the SMILES, RDKit encodes the compound structure via Morgan Fingerprinting, then determines the Tanimoto Coefficient based on the the computed fingerprints. The closer the coefficient is to 1, the more structurally similar the two molecules are.\n", - "\n", - "Two molecules are considered similar if their Tanimoto coefficient is greater than 0.85. This does not guarantee that the drugs share similiar behavior in the body, but gives us reason to suspect that they might. This makes them candidates for follow-up research on using the drug to treat a disease of interest.\n", - "\n", - "The steps for ranking the candidates will be:\n", - "1. Find SMILES for the reference compounds.\n", - "2. Find SMILES for the candidates and store the SMILES + dcid into a pandas DataFrame called ranked_candidate_df.\n", - "3. For each gene target of a single candidate, find the Tanimoto Coefficient between the candidiate and each of reference compound that shares the target, saving the highest coefficient for that gene target.\n", - "4. Save each of the highest coefficients for each gene target into an array into a list,while saving the pairings of candidate, gene target, reference compound, and coefficient all as columns of the ranked_candidate_df DataFrame.\n", - "5. Sort ranked_candidate_df based on the calculated Tanimoto Coefficients to get a sorted DataFrame of candidates.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "JqSizi27jheQ" - }, - "source": [ - "### Get Reference SMILES\n", - "First we begin by querying Data Commons for SMILES of the reference molecules. The smiles and dcids of the reference molecules are saved in the dictionary called reference_drugs." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "jSDEWQTSR3Eb", - "outputId": "8e047772-29ac-4c87-8add-e5e9a72a24d7", - "colab": { - "background_save": true - } - }, - "source": [ - "# get SMILES for reference drugs, store in reference_drugs dict\n", - "query_str = '''\n", - "SELECT ?smiles ?drug\n", - "WHERE {{\n", - "?drug dcid (\"{0}\") .\n", - "?drug simplifiedMolecularInputLineEntrySystem ?smiles . \n", - "}}\n", - "'''\n", - "\n", - "result = conduct_query(query_str, treatment_compounds)\n", - "print(result)\n", - "\n", - "reference_drugs = {}\n", - "\n", - "if not result:\n", - " print('no smiles found')\n", - "else:\n", - " for row in result:\n", - " reference_drugs[row['?drug']] = row['?smiles']\n" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "\n", - "SELECT ?smiles ?drug\n", - "WHERE {\n", - "?drug dcid (\"bio/CHEMBL1542\" \"bio/CHEMBL90593\" \"bio/CHEMBL635\" \"bio/CHEMBL643\" \"bio/CHEMBL389621\" \"bio/CHEMBL1743068\" \"bio/CHEMBL2109070\" \"bio/CHEMBL1743020\" \"bio/CHEMBL1201587\" \"bio/CHEMBL1201567\" \"bio/CHEMBL116438\" \"bio/CHEMBL930\" \"bio/CHEMBL2108326\" \"bio/CHEMBL866\" \"bio/CHEMBL393220\" \"bio/CHEMBL671\" \"bio/CHEMBL2107614\" \"bio/CHEMBL3833374\" \"bio/CHEMBL113\" \"bio/CHEMBL8\" \"bio/CHEMBL2104987\" \"bio/CHEMBL74415\" \"bio/CHEMBL1742995\" \"bio/CHEMBL1237023\" \"bio/CHEMBL2109511\" \"bio/CHEMBL2108046\" \"bio/CHEMBL3990031\" \"bio/CHEMBL262777\" \"bio/CHEMBL4297252\" \"bio/CHEMBL1464\" \"bio/CHEMBL4297331\" \"bio/CHEMBL450940\" \"bio/CHEMBL4297344\" \"bio/CHEMBL1496\" \"bio/CHEMBL1742996\" \"bio/CHEMBL186141\" \"bio/CHEMBL4297761\" \"bio/CHEMBL1456\" \"bio/CHEMBL4297477\" \"bio/CHEMBL1201507\" \"bio/CHEMBL269732\" \"bio/CHEMBL384467\" \"bio/CHEMBL846\" \"bio/CHEMBL4175981\" \"bio/CHEMBL3990014\" \"bio/CHEMBL444633\" \"bio/CHEMBL1743087\" \"bio/CHEMBL1201581\" \"bio/CHEMBL1201479\" \"bio/CHEMBL460026\" \"bio/CHEMBL1096882\" \"bio/CHEMBL1536\" \"bio/CHEMBL2107779\" \"bio/CHEMBL367149\" \"bio/CHEMBL2021430\" \"bio/CHEMBL1201607\" \"bio/CHEMBL2109465\" \"bio/CHEMBL19019\" \"bio/CHEMBL3622821\" \"bio/CHEMBL6966\" \"bio/CHEMBL852\" \"bio/CHEMBL190461\" \"bio/CHEMBL3301607\" \"bio/CHEMBL2108751\" \"bio/CHEMBL1200796\" \"bio/CHEMBL1169\" \"bio/CHEMBL3137327\" \"bio/CHEMBL25202\" \"bio/CHEMBL1201438\" \"bio/CHEMBL3989751\" \"bio/CHEMBL704\" \"bio/CHEMBL2109606\" \"bio/CHEMBL1743050\" \"bio/CHEMBL1201716\" \"bio/CHEMBL4085457\" \"bio/CHEMBL3990029\" \"bio/CHEMBL3833372\" \"bio/CHEMBL2178578\" \"bio/CHEMBL131\" \"bio/CHEMBL3707374\" \"bio/CHEMBL3137351\" \"bio/CHEMBL98\" \"bio/CHEMBL848\" \"bio/CHEMBL3707247\" \"bio/CHEMBL4297942\" \"bio/CHEMBL1617\" \"bio/CHEMBL1201580\" \"bio/CHEMBL1200574\" \"bio/CHEMBL1201835\" \"bio/CHEMBL595\" \"bio/CHEMBL2109664\" \"bio/CHEMBL4243974\" \"bio/CHEMBL975\" \"bio/CHEMBL1201562\" \"bio/CHEMBL1743015\" \"bio/CHEMBL2364648\" \"bio/CHEMBL1201519\" \"bio/CHEMBL52440\" \"bio/CHEMBL1201823\" \"bio/CHEMBL106\" \"bio/CHEMBL650\" \"bio/CHEMBL221959\" \"bio/CHEMBL1200751\" \"bio/CHEMBL3039505\" \"bio/CHEMBL2108922\" \"bio/CHEMBL1741\" \"bio/CHEMBL4297643\" \"bio/CHEMBL1292\" \"bio/CHEMBL1201670\" \"bio/CHEMBL416\" \"bio/CHEMBL1042\" \"bio/CHEMBL468\" \"bio/CHEMBL1503\" \"bio/CHEMBL2107867\" \"bio/CHEMBL4298111\" \"bio/CHEMBL3707383\" \"bio/CHEMBL1201576\" \"bio/CHEMBL2108589\" \"bio/CHEMBL1201831\" \"bio/CHEMBL1401\" \"bio/CHEMBL137\" \"bio/CHEMBL332750\" \"bio/CHEMBL1293\" \"bio/CHEMBL1213492\" \"bio/CHEMBL2109613\" \"bio/CHEMBL34259\" \"bio/CHEMBL1535\" \"bio/CHEMBL1200699\" \"bio/CHEMBL894\" \"bio/CHEMBL2108811\" \"bio/CHEMBL655\" \"bio/CHEMBL66092\" \"bio/CHEMBL1201621\" \"bio/CHEMBL1370\") .\n", - "?drug simplifiedMolecularInputLineEntrySystem ?smiles . \n", - "}\n", - "\n", - "[{'?smiles': 'CC[C@@H]1CN(C(=O)NCC(F)(F)F)C[C@@H]1c1cnc2cnc3[nH]ccc3n12', '?drug': 'bio/CHEMBL3622821'}, {'?smiles': 'CC/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\CCC(=O)O', '?drug': 'bio/CHEMBL367149'}, {'?smiles': 'CC(C)C(CCCN(C)CCC1=CC(=C(C=C1)OC)OC)(C#N)C2=CC(=C(C=C2)OC)OC', '?drug': 'bio/CHEMBL6966'}, {'?smiles': 'C1CC1N2C=C(C(=O)C3=CC(=C(C=C32)N4CCNCC4)F)C(=O)O', '?drug': 'bio/CHEMBL8'}, {'?smiles': 'C[C@H]1C[C@H]2[C@@H]3CC[C@@]([C@]3(C[C@@H]([C@@H]2[C@@]4(C1=CC(=O)C=C4)C)O)C)(C(=O)CO)O', '?drug': 'bio/CHEMBL650'}, {'?smiles': 'CC1=C(C(=C(C2=C1COC2=O)O)C/C=C(\\\\C)/CCC(=O)O)OC', '?drug': 'bio/CHEMBL866'}, {'?smiles': 'CC1=NC=C2N1C3=C(C=C(C=C3)Cl)C(=NC2)C4=CC=CC=C4F', '?drug': 'bio/CHEMBL655'}, {'?smiles': 'C1=CC(=C(C=C1N)C(=O)O)O', '?drug': 'bio/CHEMBL704'}, {'?smiles': 'C1CC(=O)NC(=O)C1N2CC3=C(C2=O)C=CC=C3N', '?drug': 'bio/CHEMBL848'}, {'?smiles': 'CC(CN1C2=CC=CC=C2SC3=CC=CC=C31)N(C)C', '?drug': 'bio/CHEMBL643'}, {'?smiles': 'C[C@]12CC(=O)[C@H]3[C@H]([C@@H]1CC[C@@]2(C(=O)CO)O)CCC4=CC(=O)C=C[C@]34C', '?drug': 'bio/CHEMBL635'}, {'?smiles': 'C[C@]12CC[C@H]3[C@H]([C@@H]1CCC2=O)CC=C4[C@@]3(CC[C@@H](C4)O)C', '?drug': 'bio/CHEMBL90593'}, {'?smiles': 'CCC1=CN=C(C=C1)CCOC2=CC=C(C=C2)CC3C(=O)NC(=O)S3', '?drug': 'bio/CHEMBL595'}, {'?smiles': 'C(CC(=O)N)[C@@H](C(=O)O)N', '?drug': 'bio/CHEMBL930'}, {'?smiles': 'C1=CC=C(C=C1)NC(=O)CCCCCCC(=O)NO', '?drug': 'bio/CHEMBL98'}, {'?smiles': 'CC(C(=O)C1=CC(=CC=C1)Cl)NC(C)(C)C', '?drug': 'bio/CHEMBL894'}, {'?smiles': 'CC(NC(C)(C)C)C(=O)c1cccc(Cl)c1', '?drug': 'bio/CHEMBL894'}, {'?smiles': 'C[C@H]1C[C@H]2[C@@H]3CC[C@](O)(C(=O)CO)[C@@]3(C)C[C@H](O)[C@@H]2[C@@]2(C)C=CC(=O)C=C12', '?drug': 'bio/CHEMBL650'}, {'?smiles': 'CCc1ccc(CCOc2ccc(CC3SC(=O)NC3=O)cc2)nc1', '?drug': 'bio/CHEMBL595'}, {'?smiles': 'C[C@]12CC(=O)[C@H]3[C@@H](CCC4=CC(=O)C=C[C@@]43C)[C@@H]1CC[C@]2(O)C(=O)CO', '?drug': 'bio/CHEMBL635'}, {'?smiles': 'O=C(CCCCCCC(=O)Nc1ccccc1)NO', '?drug': 'bio/CHEMBL98'}, {'?smiles': 'CCCCCc1cc(O)c2c(c1)OC(C)(C)c1ccc(C)cc1-2', '?drug': 'bio/CHEMBL74415'}, {'?smiles': 'C[C@]12CC[C@H]3[C@@H](CC=C4C[C@@H](O)CC[C@@]43C)[C@@H]1CCC2=O', '?drug': 'bio/CHEMBL90593'}, {'?smiles': 'COc1ccc(CCN(C)CCCC(C#N)(c2ccc(OC)c(OC)c2)C(C)C)cc1OC', '?drug': 'bio/CHEMBL6966'}, {'?smiles': 'CC(CN1c2ccccc2Sc2ccccc21)N(C)C', '?drug': 'bio/CHEMBL643'}, {'?smiles': 'COc1c(C)c2c(c(O)c1C/C=C(\\\\\\\\C)CCC(=O)O)C(=O)OC2', '?drug': 'bio/CHEMBL866'}, {'?smiles': 'Nc1ccc(O)c(C(=O)O)c1', '?drug': 'bio/CHEMBL704'}, {'?smiles': 'C=C1/C(=C\\\\\\\\C=C2/CCC[C@@]3(C)[C@H]2CC[C@@H]3[C@H](C)CCCC(C)(C)O)C[C@@H](O)C[C@@H]1O', '?drug': 'bio/CHEMBL846'}, {'?smiles': 'Cc1ncc2n1-c1ccc(Cl)cc1C(c1ccccc1F)=NC2', '?drug': 'bio/CHEMBL655'}, {'?smiles': 'O=C(O)c1cn(C2CC2)c2cc(N3CCNCC3)c(F)cc2c1=O', '?drug': 'bio/CHEMBL8'}, {'?smiles': 'O=S(=O)([O-])CCS.[Na+]', '?drug': 'bio/CHEMBL975'}, {'?smiles': 'N[C@@H](Cc1ccc(N(CCCl)CCCl)cc1)C(=O)O', '?drug': 'bio/CHEMBL852'}, {'?smiles': 'S=P(N1CC1)(N1CC1)N1CC1', '?drug': 'bio/CHEMBL671'}, {'?smiles': 'Nc1cccc2c1CN(C1CCC(=O)NC1=O)C2=O', '?drug': 'bio/CHEMBL848'}, {'?smiles': 'NC(=O)CC[C@H](N)C(=O)O', '?drug': 'bio/CHEMBL930'}, {'?smiles': 'CCN(C(=O)c1c(O)c2c(Cl)cccc2n(C)c1=O)c1ccccc1', '?drug': 'bio/CHEMBL66092'}, {'?smiles': 'COC1=C2C(=CC3=C1OC=C3)C=CC(=O)O2', '?drug': 'bio/CHEMBL416'}, {'?smiles': 'CC(C)(C)[C@@H](CO)NC(=O)c1nn(-c2c[n+]([O-])ccn2)c2c1C[C@@H]1C[C@H]21', '?drug': 'bio/CHEMBL4175981'}, {'?smiles': 'COc1c2occc2cc2ccc(=O)oc12', '?drug': 'bio/CHEMBL416'}, {'?smiles': 'C=CC(=O)N1C[C@H](Nc2ncnc3[nH]ccc23)CC[C@@H]1C', '?drug': 'bio/CHEMBL4085457'}, {'?smiles': 'CC1=C(CC(=O)NCc2ccccc2)c2cc(F)ccc2/C1=C\\\\\\\\c1ccncc1.Cl', '?drug': 'bio/CHEMBL4243974'}, {'?smiles': 'C1CC1CN2CC[C@]34[C@@H]5C(=O)CC[C@]3([C@H]2CC6=C4C(=C(C=C6)O)O5)O', '?drug': 'bio/CHEMBL19019'}, {'?smiles': 'C=C(C)[C@@H]1CCC(C)=C[C@H]1c1c(O)cc(CCCCC)cc1O', '?drug': 'bio/CHEMBL190461'}, {'?smiles': 'C[C@@H]1C[C@H]2[C@@H]3CCC4=CC(=O)C=C[C@]4(C)[C@@]3(F)[C@@H](O)C[C@]2(C)[C@@]1(O)C(=O)COP(=O)([O-])[O-].[Na+].[Na+]', '?drug': 'bio/CHEMBL2021430'}, {'?smiles': 'O=C1CC[C@@]2(O)[C@H]3Cc4ccc(O)c5c4[C@@]2(CCN3CC2CC2)[C@H]1O5', '?drug': 'bio/CHEMBL19019'}, {'?smiles': 'CN(CC1=CN=C2C(=N1)C(=NC(=N2)N)N)C3=CC=C(C=C3)C(=O)N[C@@H](CCC(=O)O)C(=O)O', '?drug': 'bio/CHEMBL34259'}, {'?smiles': 'O=C(Nc1nc2cccc(-c3ccc(CN4CCS(=O)(=O)CC4)cc3)n2n1)C1CC1', '?drug': 'bio/CHEMBL3301607'}, {'?smiles': 'CN(Cc1cnc2nc(N)nc(N)c2n1)c1ccc(C(=O)N[C@@H](CCC(=O)O)C(=O)O)cc1', '?drug': 'bio/CHEMBL34259'}, {'?smiles': 'CCOc1ccc(-c2nc(-c3cccc(C(=O)O)n3)cs2)cc1OCC', '?drug': 'bio/CHEMBL332750'}, {'?smiles': 'CC1(CCC(C2=C1C=CC(=C2)NC(=O)C3=CC=C(C=C3)C(=O)O)(C)C)C', '?drug': 'bio/CHEMBL25202'}, {'?smiles': 'C[C@H]1[C@H]([C@@](C[C@@H](O1)O[C@@H]2[C@H]([C@@H]([C@H](O[C@H]2OC3=C4C=C5C=C3OC6=C(C=C(C=C6)[C@H]([C@H](C(=O)N[C@H](C(=O)N[C@H]5C(=O)N[C@@H]7C8=CC(=C(C=C8)O)C9=C(C=C(C=C9[C@H](NC(=O)[C@H]([C@@H](C1=CC(=C(O4)C=C1)Cl)O)NC7=O)C(=O)O)O)O)CC(=O)N)NC(=O)[C@@H](CC(C)C)NC)O)Cl)CO)O)O)(C)N)O', '?drug': 'bio/CHEMBL262777'}, {'?smiles': 'C[C@@H]1C[C@@H]([C@@H]2[C@H](C[C@H]([C@@](O2)(C(=O)C(=O)N3CCCC[C@H]3C(=O)O[C@@H]([C@@H]([C@H](CC(=O)[C@@H](/C=C(/C1)\\\\C)CC=C)O)C)/C(=C/[C@@H]4CC[C@H]([C@@H](C4)OC)O)/C)O)C)OC)OC', '?drug': 'bio/CHEMBL269732'}, {'?smiles': 'CC(C)(C)c1ccc(S(=O)(=O)[N-]c2ccc(Cl)cc2C(=O)c2cc[n+]([O-])cc2)cc1.[Na+]', '?drug': 'bio/CHEMBL3039505'}, {'?smiles': 'CN[C@H](CC(C)C)C(=O)N[C@H]1C(=O)N[C@@H](CC(N)=O)C(=O)N[C@H]2C(=O)N[C@H]3C(=O)N[C@H](C(=O)N[C@H](C(=O)O)c4cc(O)cc(O)c4-c4cc3ccc4O)[C@H](O)c3ccc(c(Cl)c3)Oc3cc2cc(c3O[C@@H]2O[C@H](CO)[C@@H](O)[C@H](O)[C@H]2O[C@H]2C[C@](C)(N)[C@H](O)[C@H](C)O2)Oc2ccc(cc2Cl)[C@H]1O', '?drug': 'bio/CHEMBL262777'}, {'?smiles': 'C=CC[C@@H]1/C=C(\\\\\\\\C)C[C@H](C)C[C@H](OC)[C@H]2O[C@@](O)(C(=O)C(=O)N3CCCC[C@H]3C(=O)O[C@H](/C(C)=C/[C@@H]3CC[C@@H](O)[C@H](OC)C3)[C@H](C)[C@@H](O)CC1=O)[C@H](C)C[C@@H]2OC', '?drug': 'bio/CHEMBL269732'}, {'?smiles': 'CC1(C)CCC(C)(C)c2cc(NC(=O)c3ccc(C(=O)O)cc3)ccc21', '?drug': 'bio/CHEMBL25202'}, {'?smiles': 'CC/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\CCC(=O)O.CC/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\CCCC(=O)O.CC/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\CCCCC(=O)O.CC/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\CCCCCC(=O)O.CC/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\CCCCCCC(=O)O.CC/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\CCCCCCCC(=O)O.CCCCC/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\CCC(=O)O.CCCCC/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\CCCCC(=O)O.CCCCC/C=C\\\\\\\\C/C=C\\\\\\\\CCCCCCCC(=O)O', '?drug': 'bio/CHEMBL3137327'}, {'?smiles': 'C1=CC(=C(C=C1F)F)C(CN2C=NC=N2)(CN3C=NC=N3)O', '?drug': 'bio/CHEMBL106'}, {'?smiles': 'CN1C=NC2=C1C(=O)N(C(=O)N2C)C', '?drug': 'bio/CHEMBL113'}, {'?smiles': 'C1=CC(=C(C=C1N)O)C(=O)O', '?drug': 'bio/CHEMBL1169'}, {'?smiles': 'C1=NC2=C(N1[C@H]3[C@H]([C@@H]([C@H](O3)COP(=O)(O)O)O)O)N=C(N=C2N)F', '?drug': 'bio/CHEMBL1096882'}, {'?smiles': 'Cn1c(=O)c2c(ncn2C)n(C)c1=O', '?drug': 'bio/CHEMBL113'}, {'?smiles': 'C[C@H]1c2cccc(O)c2C(=O)C2=C(O)[C@]3(O)C(=O)C(C(N)=O)=C(O)[C@@H](N(C)C)[C@@H]3[C@@H](O)[C@@H]21.O', '?drug': 'bio/CHEMBL1200699'}, {'?smiles': 'Nc1ccc(C(=O)O)c(O)c1', '?drug': 'bio/CHEMBL1169'}, {'?smiles': 'O.O=P1(N(CCCl)CCCl)NCCCO1', '?drug': 'bio/CHEMBL1200796'}, {'?smiles': 'O.Sc1ncnc2nc[nH]c12', '?drug': 'bio/CHEMBL1200751'}, {'?smiles': 'OC(Cn1cncn1)(Cn1cncn1)c1ccc(F)cc1F', '?drug': 'bio/CHEMBL106'}, {'?smiles': 'CCN(CC)Cc1ccc2cc(COC(=O)Nc3ccc(C(=O)NO)cc3)ccc2c1', '?drug': 'bio/CHEMBL1213492'}, {'?smiles': 'C=C1CC[C@H](O)C/C1=C/C=C1\\\\\\\\CCC[C@@]2(C)[C@H]1CC[C@@H]2[C@H](C)CCCC(C)C', '?drug': 'bio/CHEMBL1042'}, {'?smiles': '[Cl-].[Na+]', '?drug': 'bio/CHEMBL1200574'}, {'?smiles': 'COc1cc(/C=C/C(=O)/C=C(O)/C=C/c2ccc(O)c(OC)c2)ccc1O', '?drug': 'bio/CHEMBL116438'}, {'?smiles': 'Nc1nc(F)nc2c1ncn2[C@@H]1O[C@H](COP(=O)(O)O)[C@@H](O)[C@@H]1O', '?drug': 'bio/CHEMBL1096882'}, {'?smiles': 'CC[C@H](C)[C@H](NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](CCCNC(=N)N)NC(=O)[C@H](C)NC(=O)[C@H](C)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](CC(C)C)NC(=O)[C@@H](NC(=O)[C@@H](NC(=O)[C@H](CC(N)=O)NC(=O)[C@H](CCSC)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](CO)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@H](CO)NC(=O)CNC(=O)[C@H](CC(=O)O)NC(=O)CNC(=O)[C@@H](N)Cc1c[nH]cn1)[C@@H](C)O)[C@@H](C)CC)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](Cc1c[nH]c2ccccc12)C(=O)N[C@@H](CC(C)C)C(=O)N[C@H](C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@H](C(=O)N[C@@H](CCCCN)C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@@H](CC(=O)O)C(=O)O)[C@@H](C)O)[C@@H](C)CC)[C@@H](C)O)[C@@H](C)CC', '?drug': 'bio/CHEMBL2104987'}, {'?smiles': 'CCOC(=O)[C@@]1(OC(=O)C(Cl)Cl)CC[C@H]2[C@@H]3CCC4=CC(=O)C=C[C@]4(C)[C@H]3[C@@H](O)C[C@@]21C', '?drug': 'bio/CHEMBL2107614'}, {'?smiles': 'C/C(=N\\\\\\\\NC(=N)N)c1cc(NC(=O)CCCCCCCCC(=O)Nc2cc(/C(C)=N/NC(=N)N)cc(/C(C)=N/NC(=N)N)c2)cc(/C(C)=N/NC(=N)N)c1', '?drug': 'bio/CHEMBL2107779'}, {'?smiles': 'C[C@@H]1CCN(C(=O)CC#N)C[C@@H]1N(C)c1ncnc2[nH]ccc12', '?drug': 'bio/CHEMBL221959'}, {'?smiles': 'CC(C)(C)c1ccc(S(=O)(=O)Nc2ccc(Cl)cc2C(=O)c2cc[n+]([O-])cc2)cc1', '?drug': 'bio/CHEMBL2178578'}, {'?smiles': 'CC(=O)OC1=CC=CC=C1C(=O)NC2=NC=C(S2)[N+](=O)[O-]', '?drug': 'bio/CHEMBL1401'}, {'?smiles': 'CC1=NC=C(N1CCO)[N+](=O)[O-]', '?drug': 'bio/CHEMBL137'}, {'?smiles': 'C[C@]12C[C@@H]([C@H]3[C@H]([C@@H]1CC[C@@]2(C(=O)CO)O)CCC4=CC(=O)C=C[C@]34C)O', '?drug': 'bio/CHEMBL131'}, {'?smiles': 'CC(=O)Oc1ccccc1C(=O)Nc1ncc([N+](=O)[O-])s1', '?drug': 'bio/CHEMBL1401'}, {'?smiles': 'CC1=C(/C=C/C(C)=C/C=C/C(C)=C/C=C/C=C(C)/C=C/C=C(C)/C=C/C2=C(C)CCCC2(C)C)C(C)(C)CCC1', '?drug': 'bio/CHEMBL1293'}, {'?smiles': 'Cc1ncc([N+](=O)[O-])n1CCO', '?drug': 'bio/CHEMBL137'}, {'?smiles': 'CCCC1O[C@@H]2C[C@H]3[C@@H]4CCC5=CC(=O)C=C[C@]5(C)[C@H]4[C@@H](O)C[C@]3(C)[C@]2(C(=O)CO)O1', '?drug': 'bio/CHEMBL1370'}, {'?smiles': 'CC(C)/N=c1\\\\\\\\cc2n(-c3ccc(Cl)cc3)c3ccccc3nc-2cc1Nc1ccc(Cl)cc1', '?drug': 'bio/CHEMBL1292'}, {'?smiles': 'C[C@]12C[C@H](O)[C@H]3[C@@H](CCC4=CC(=O)C=C[C@@]43C)[C@@H]1CC[C@]2(O)C(=O)CO', '?drug': 'bio/CHEMBL131'}, {'?smiles': 'CC[C@@H]1[C@@]([C@@H]([C@H](C(=O)[C@@H](C[C@@]([C@@H]([C@H]([C@@H]([C@H](C(=O)O1)C)O[C@H]2C[C@@]([C@H]([C@@H](O2)C)O)(C)OC)C)O[C@H]3[C@@H]([C@H](C[C@H](O3)C)N(C)C)O)(C)OC)C)C)O)(C)O', '?drug': 'bio/CHEMBL1741'}, {'?smiles': 'C=C1CC[C@H]2[C@@](C)(CC[C@@H](O)[C@@]2(C)CO)[C@@H]1C/C=C1/C(=O)OC[C@H]1O', '?drug': 'bio/CHEMBL186141'}, {'?smiles': 'CC[C@H]1OC(=O)[C@H](C)[C@@H](O[C@H]2C[C@@](C)(OC)[C@@H](O)[C@H](C)O2)[C@H](C)[C@@H](O[C@@H]2O[C@H](C)C[C@H](N(C)C)[C@H]2O)[C@](C)(OC)C[C@@H](C)C(=O)[C@H](C)[C@@H](O)[C@]1(C)O', '?drug': 'bio/CHEMBL1741'}, {'?smiles': 'C1CC(=O)NC(=O)C1N2C(=O)C3=CC=CC=C3C2=O', '?drug': 'bio/CHEMBL468'}, {'?smiles': 'CN1CC[C@@]23CCCC[C@@H]2[C@@H]1CC4=C3C=C(C=C4)OC', '?drug': 'bio/CHEMBL52440'}, {'?smiles': 'C[C@H]1/C=C/C=C(\\\\C(=O)NC2=C3C(=NC4(N3)CCN(CC4)CC(C)C)C5=C6C(=C(C(=C5C2=O)O)C)O[C@@](C6=O)(O/C=C/[C@@H]([C@H]([C@H]([C@@H]([C@@H]([C@@H]([C@H]1O)C)O)C)OC(=O)C)C)OC)C)/C', '?drug': 'bio/CHEMBL444633'}, {'?smiles': 'CC/C=C\\\\C/C=C\\\\C/C=C\\\\C/C=C\\\\C/C=C\\\\CCCC(=O)O', '?drug': 'bio/CHEMBL460026'}, {'?smiles': 'O=C1CCC(N2C(=O)c3ccccc3C2=O)C(=O)N1', '?drug': 'bio/CHEMBL468'}, {'?smiles': 'C[C@@H]1O[C@@H](O[C@H]2[C@H](O[C@H]([C@H](O)CO)[C@H](O)[C@@H](O)C=O)O[C@H](CO)[C@H](O)[C@@H]2O)[C@@H](O)[C@H](O)[C@@H]1O', '?drug': 'bio/CHEMBL4297252'}, {'?smiles': 'CN1C2C(=O)c3ccccc3C1C1=C2C(=O)c2ccccc2C1=O', '?drug': 'bio/CHEMBL4297331'}, {'?smiles': 'Cn1cc(Nc2nccc(N3C[C@@H]4CC[C@H](C3)N4C(=O)[C@@H]3CC3(F)F)n2)cn1', '?drug': 'bio/CHEMBL4297477'}, {'?smiles': 'FC(F)(F)Oc1ccc(Nc2ccc3cccc(Cl)c3n2)cc1', '?drug': 'bio/CHEMBL4297344'}, {'?smiles': 'CO[C@H]1/C=C/O[C@@]2(C)Oc3c(C)c(O)c4c(c3C2=O)C2=NC3(CCN(CC(C)C)CC3)NC2=C(NC(=O)/C(C)=C\\\\\\\\C=C\\\\\\\\[C@H](C)[C@H](O)[C@@H](C)[C@@H](O)[C@@H](C)[C@H](OC(C)=O)[C@@H]1C)C4=O', '?drug': 'bio/CHEMBL444633'}, {'?smiles': 'Cc1cccc(/C=N/Nc2cc(N3CCOCC3)nc(OCCc3ccccn3)n2)c1', '?drug': 'bio/CHEMBL4297643'}, {'?smiles': 'COc1ccc2c(c1)[C@]13CCCC[C@@H]1[C@H](C2)N(C)CC3', '?drug': 'bio/CHEMBL52440'}, {'?smiles': 'C=Cc1cc(O)cc2nc(-c3ccc(O)c(F)c3)oc12', '?drug': 'bio/CHEMBL450940'}, {'?smiles': 'CC/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\C/C=C\\\\\\\\CCCC(=O)O', '?drug': 'bio/CHEMBL460026'}, {'?smiles': 'C[C@]12CCC(=O)C=C1CC[C@@H]3[C@@H]2[C@H](C[C@]4([C@H]3CC[C@@]4(C(=O)CO)O)C)O', '?drug': 'bio/CHEMBL389621'}, {'?smiles': 'C[C@@H]1C[C@H]2[C@@H]3CCC4=CC(=O)C=C[C@@]4([C@]3([C@H](C[C@@]2([C@]1(C(=O)CO)O)C)O)F)C', '?drug': 'bio/CHEMBL384467'}, {'?smiles': 'CCCCCCCOc1ccc(CCC(N)(CO)CO)cc1C(F)(F)F.Cl', '?drug': 'bio/CHEMBL3707374'}, {'?smiles': 'CC(C)Oc1ccc(-c2nc(-c3cccc4c3CC[C@@H]4NCCO)no2)cc1C#N', '?drug': 'bio/CHEMBL3707247'}, {'?smiles': 'C[C@@H]1C[C@H]2[C@@H]3CCC4=CC(=O)C=C[C@]4(C)[C@@]3(F)[C@@H](O)C[C@]2(C)[C@@]1(O)C(=O)CO', '?drug': 'bio/CHEMBL384467'}, {'?smiles': 'CC(C)c1c(C(=O)Nc2ccccc2)c(-c2ccccc2)c(-c2ccc(F)cc2)n1CC[C@@H](O)C[C@@H](O)CC(=O)[O-].CC(C)c1c(C(=O)Nc2ccccc2)c(-c2ccccc2)c(-c2ccc(F)cc2)n1CC[C@@H](O)C[C@@H](O)CC(=O)[O-].[Ca+2]', '?drug': 'bio/CHEMBL393220'}, {'?smiles': 'C[C@]12C[C@H](O)[C@H]3[C@@H](CCC4=CC(=O)CC[C@@]43C)[C@@H]1CC[C@]2(O)C(=O)CO', '?drug': 'bio/CHEMBL389621'}, {'?smiles': 'C[C@H]1/C=C/C=C(\\\\C(=O)NC2=C(C3=C(C4=C(C(=C3O)C)O[C@@](C4=O)(O/C=C/[C@@H]([C@H]([C@H]([C@@H]([C@@H]([C@@H]([C@H]1O)C)O)C)OC(=O)C)C)OC)C)C5=C2N6C=CC(=CC6=N5)C)O)/C', '?drug': 'bio/CHEMBL1617'}, {'?smiles': 'C[C@H](/C=C/[C@H](C)C(C)C)[C@H]1CC[C@@H]\\\\2[C@@]1(CCC/C2=C\\\\C=C/3\\\\C[C@H](CCC3=C)O)C', '?drug': 'bio/CHEMBL1536'}, {'?smiles': 'CN1C=NC(=C1SC2=NC=NC3=C2NC=N3)[N+](=O)[O-]', '?drug': 'bio/CHEMBL1542'}, {'?smiles': 'CC1=C(C(=C(C2=C1COC2=O)O)C/C=C(\\\\C)/CCC(=O)OCCN3CCOCC3)OC', '?drug': 'bio/CHEMBL1456'}, {'?smiles': 'CCN(CCCC(C)NC1=C2C=CC(=CC2=NC=C1)Cl)CCO', '?drug': 'bio/CHEMBL1535'}, {'?smiles': 'CC1=CN=C(C(=C1OC)C)CS(=O)C2=NC3=C(N2)C=C(C=C3)OC', '?drug': 'bio/CHEMBL1503'}, {'?smiles': 'CO[C@H]1/C=C/O[C@@]2(C)Oc3c(C)c(O)c4c(O)c(c5c(nc6cc(C)ccn65)c4c3C2=O)NC(=O)/C(C)=C\\\\\\\\C=C\\\\\\\\[C@H](C)[C@H](O)[C@@H](C)[C@@H](O)[C@@H](C)[C@H](OC(C)=O)[C@@H]1C', '?drug': 'bio/CHEMBL1617'}, {'?smiles': 'COc1c(C)c2c(c(O)c1C/C=C(\\\\\\\\C)CCC(=O)OCCN1CCOCC1)C(=O)OC2', '?drug': 'bio/CHEMBL1456'}, {'?smiles': 'COc1ccc2[nH]c([S+]([O-])Cc3ncc(C)c(OC)c3C)nc2c1', '?drug': 'bio/CHEMBL1503'}, {'?smiles': 'Cn1cnc([N+](=O)[O-])c1Sc1ncnc2nc[nH]c12', '?drug': 'bio/CHEMBL1542'}, {'?smiles': 'CCN(CCO)CCCC(C)Nc1ccnc2cc(Cl)ccc12', '?drug': 'bio/CHEMBL1535'}, {'?smiles': 'C=C1CC[C@H](O)C/C1=C/C=C1\\\\\\\\CCC[C@@]2(C)[C@H]1CC[C@@H]2[C@H](C)/C=C/[C@H](C)C(C)C', '?drug': 'bio/CHEMBL1536'}, {'?smiles': 'CC(=O)CC(c1ccccc1)c1c(O)c2ccccc2oc1=O', '?drug': 'bio/CHEMBL1464'}, {'?smiles': 'CC(C)c1nc(N(C)S(C)(=O)=O)nc(-c2ccc(F)cc2)c1/C=C/[C@@H](O)C[C@@H](O)CC(=O)O', '?drug': 'bio/CHEMBL1496'}]\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "mqwY4BxOj2F8" - }, - "source": [ - "### Get Candidate SMILES and DataFrame\n", - "We now query Data Commons for the SMILES of the candidate molecules. The dcids and SMILES of the candidates are saved in a pandas DataFrame called `ranked_candidate_df`. Each row of this DataFrame represents a single candidate drug. Then we append another column to the DataFrame containing the list of gene targets for each candidate." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "9bkytgCMH8nx", - "outputId": "69837e8e-3d0a-46ad-8174-caccb1f7f147", - "colab": { - "background_save": true - } - }, - "source": [ - "# get the candidates that have established gene targets\n", - "filtered_candidates = list(candidate_to_established_target.keys())\n", - "print(len(filtered_candidates))\n", - "\n", - "# get SMILES of candidates, store in pandas dataframe candidate_df\n", - "query_str = '''\n", - "SELECT ?smiles ?drug\n", - "WHERE {{\n", - "?drug dcid (\"{0}\") .\n", - "?drug simplifiedMolecularInputLineEntrySystem ?smiles . \n", - "}}\n", - "'''\n", - "\n", - "result = conduct_query(query_str, filtered_candidates)\n", - "ranked_candidate_df = pd.DataFrame(columns = ['candidate_dcid', 'smiles'])\n", - "\n", - "if not result:\n", - " print('no smiles found')\n", - "else:\n", - " for row in result:\n", - " ranked_candidate_df = ranked_candidate_df.append({'candidate_dcid': row['?drug'], 'smiles':row['?smiles']}, ignore_index=True)\n", - "\n", - "# add the gene targets for each candidate in the dataframe\n", - "ranked_candidate_df['genes_list'] = ranked_candidate_df.candidate_dcid.apply(lambda dcid: candidate_to_established_target[dcid])\n", - "# print out resulting data frame\n", - "ranked_candidate_df" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "772\n", - "\n", - "SELECT ?smiles ?drug\n", - "WHERE {\n", - "?drug dcid (\"bio/CHEMBL11\" \"bio/PA164924562\" \"bio/CHEMBL1201219\" \"bio/CHEMBL1076903\" \"bio/PA166169432\" \"bio/CHEMBL931\" \"bio/CHEMBL1812063\" \"bio/CHEMBL1172\" \"bio/CHEMBL483\" \"bio/PA164712720\" \"bio/PA164712950\" \"bio/PA166160633\" \"bio/CHEMBL77921\" \"bio/PA166153171\" \"bio/CHEMBL550\" \"bio/PA10407\" \"bio/PA164712362\" \"bio/CHEMBL269671\" \"bio/CHEMBL161\" \"bio/PA142650384\" \"bio/CHEMBL728\" \"bio/PA165958321\" \"bio/PA166160632\" \"bio/PA452347\" \"bio/PA452634\" \"bio/PA151186253\" \"bio/CHEMBL224120\" \"bio/PA161925594\" \"bio/PA166160634\" \"bio/PA134521193\" \"bio/CHEMBL972\" \"bio/PA448492\" \"bio/CHEMBL1024\" \"bio/CHEMBL1377\" \"bio/CHEMBL1276421\" \"bio/CHEMBL1530\" \"bio/PA166184495\" \"bio/CHEMBL521\" \"bio/PA153619853\" \"bio/CHEMBL398435\" \"bio/PA450600\" \"bio/CHEMBL128\" \"bio/CHEMBL121\" \"bio/CHEMBL404108\" \"bio/CHEMBL183041\" \"bio/CHEMBL1789941\" \"bio/CHEMBL1729\" \"bio/CHEMBL696\" \"bio/CHEMBL452\" \"bio/CHEMBL957\" \"bio/CHEMBL806\" \"bio/PA164749431\" \"bio/PA164712446\" \"bio/CHEMBL1272\" \"bio/PA165980614\" \"bio/CHEMBL12713\" \"bio/PA143414738\" \"bio/CHEMBL1094\" \"bio/CHEMBL832\" \"bio/CHEMBL967\" \"bio/CHEMBL1016\" \"bio/CHEMBL1201748\" \"bio/PA164712741\" \"bio/PA165958365\" \"bio/CHEMBL91\" \"bio/CHEMBL6437\" \"bio/CHEMBL1201764\" \"bio/CHEMBL1341\" \"bio/CHEMBL1201236\" \"bio/CHEMBL1664\" \"bio/CHEMBL1371\" \"bio/CHEMBL12952\" \"bio/CHEMBL1201391\" \"bio/CHEMBL750\" \"bio/PA10202\" \"bio/CHEMBL861\" \"bio/CHEMBL6\" \"bio/CHEMBL1485\" \"bio/CHEMBL568\" \"bio/CHEMBL350719\" \"bio/PA165816878\" \"bio/CHEMBL386630\" \"bio/CHEMBL408\" \"bio/PA166128370\" \"bio/CHEMBL1423\" \"bio/CHEMBL1043\" \"bio/PA165860521\" \"bio/PA166184498\" \"bio/CHEMBL1323\" \"bio/PA10402\" \"bio/PA449390\" \"bio/CHEMBL439\" \"bio/CHEMBL499808\" \"bio/PA166183785\" \"bio/PA451271\" \"bio/CHEMBL1200692\" \"bio/PA164713347\" \"bio/CHEMBL1069\" \"bio/PA164748765\" \"bio/CHEMBL695\" \"bio/CHEMBL221872\" \"bio/CHEMBL13280\" \"bio/PA164712509\" \"bio/CHEMBL1208155\" \"bio/CHEMBL139\" \"bio/PA448586\" \"bio/PA166165251\" \"bio/PA164760860\" \"bio/CHEMBL1477\" \"bio/CHEMBL471737\" \"bio/PA451668\" \"bio/CHEMBL1221561\" \"bio/CHEMBL782\" \"bio/PA166184061\" \"bio/CHEMBL101\" \"bio/CHEMBL35\" \"bio/PA451547\" \"bio/PA165107055\" \"bio/CHEMBL181\" \"bio/CHEMBL231616\" \"bio/PA133822447\" \"bio/CHEMBL1625467\" \"bio/PA164713397\" \"bio/CHEMBL5\" \"bio/CHEMBL364375\" 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candidate_dcidsmilesgenes_list
0bio/CHEMBL1095777CCC1=C(C=C2CC(CC2=C1)NC[C@@H](C3=C4C=CC(=O)NC4...[bio/hg38_UGT1A1]
1bio/CHEMBL1204187CC1(CC(=O)N(C(=O)C1)CCCCN2CCN(CC2)C3=NC=CC=N3)...[bio/hg38_UGT1A1]
2bio/CHEMBL1163CC(C)(C)[C@@H](C(=O)N[C@@H](CC1=CC=CC=C1)[C@H]...[bio/hg38_SLCO1B1, bio/hg38_CYP3A5, bio/hg38_A...
3bio/CHEMBL1201772CC(=O)OC1=CC2=C(S1)CCN(C2)C(C3=CC=CC=C3F)C(=O)...[bio/hg38_CYP3A5, bio/hg38_CYP2C9, bio/hg38_CY...
4bio/CHEMBL116CC(C)CN(C[C@H]([C@H](CC1=CC=CC=C1)NC(=O)O[C@H]...[bio/hg38_SLCO1B1, bio/hg38_ABCB1]
............
1106bio/PA448714C[C@H](/C=C/C(C1CC1)O)[C@H]2CC[C@@H]\\3[C@@]2(C...[bio/hg38_VDR]
1107bio/PA165958321C[C@H]1C(=O)N([C@H](S1)C2=CN=CC=C2)C.Cl[bio/hg38_CYP2A6]
1108bio/PA449390C1[C@@H]2CC(CC3N2CC(=O)C1C3)OC(=O)C4=CNC5=CC=C...[bio/hg38_NOS1AP, bio/hg38_CYP3A4, bio/hg38_CY...
1109bio/PA166153171C1[C@@H]([C@H](O[C@H]1N2C3=C(C(=O)N=C(N3)N)NC2...[bio/hg38_NUDT15]
1110bio/PA164783809C[C@H]1/C=C/C=C(\\C(=O)NC\\2=C(C3=C(C(=C4C(=C3C(...[bio/hg38_NR1I2]
\n", - "

1111 rows × 3 columns

\n", - "
" - ], - "text/plain": [ - " candidate_dcid ... genes_list\n", - "0 bio/CHEMBL1095777 ... [bio/hg38_UGT1A1]\n", - "1 bio/CHEMBL1204187 ... [bio/hg38_UGT1A1]\n", - "2 bio/CHEMBL1163 ... [bio/hg38_SLCO1B1, bio/hg38_CYP3A5, bio/hg38_A...\n", - "3 bio/CHEMBL1201772 ... [bio/hg38_CYP3A5, bio/hg38_CYP2C9, bio/hg38_CY...\n", - "4 bio/CHEMBL116 ... [bio/hg38_SLCO1B1, bio/hg38_ABCB1]\n", - "... ... ... ...\n", - "1106 bio/PA448714 ... [bio/hg38_VDR]\n", - "1107 bio/PA165958321 ... [bio/hg38_CYP2A6]\n", - "1108 bio/PA449390 ... [bio/hg38_NOS1AP, bio/hg38_CYP3A4, bio/hg38_CY...\n", - "1109 bio/PA166153171 ... [bio/hg38_NUDT15]\n", - "1110 bio/PA164783809 ... [bio/hg38_NR1I2]\n", - "\n", - "[1111 rows x 3 columns]" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 0 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "5TfRLpgGkWjL" - }, - "source": [ - "### Calculating Tanimoto Similarity\n", - "Now that we have the SMILES for the reference and candidate drugs, we can calculate the similarities using tools from RDKit. We will make a new function called `calculate_tanimoto_similarity` which calculates the similarity of the smiles of a candidate compound and a reference compound using functions from RDKit." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "8vKzWONYQbSo", - "colab": { - "background_save": true - } - }, - "source": [ - "def calculate_tanimoto_coeff(cand_smiles, ref_smiles):\n", - " \"\"\"Calculates Tanimoto Coefficient given SMILES of two compounds.\n", - " \n", - " Find the structural similarity of candidate compound and reference compound\n", - " which share at least one gene target using Morgan Fingerprints and functions\n", - " from RDKit.\n", - "\n", - " Args:\n", - " cand_smiles: SMILES of a candidate compound.\n", - " ref_smiles: SMILES of a reference compound.\n", - " \n", - " Returns:\n", - " The calculated Tanimoto Coefficient for the two compounds.\n", - " \"\"\"\n", - " # construct the molecules from the SMILES using RDKit function\n", - " cand_mol = Chem.MolFromSmiles(cand_smiles)\n", - " ref_mol = Chem.MolFromSmiles(ref_smiles)\n", - "\n", - " # create Morgan Fingerprints of the constructed molecules using RDKit function\n", - " cand_fgprint = AllChem.GetMorganFingerprintAsBitVect(cand_mol,2)\n", - " ref_fgprint = AllChem.GetMorganFingerprintAsBitVect(ref_mol,2)\n", - "\n", - " # calculate Tanimoto similarity coefficient from fingerprints using RDKit function\n", - " similarity = DataStructs.TanimotoSimilarity(cand_fgprint,ref_fgprint)\n", - " return similarity" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "isGT_ggzm6Nx" - }, - "source": [ - "### Ranking Based on Similarity\n", - "Now that we have a function to calculate Tanimoto coefficients, we can rank the compounds in terms of similairty to the reference molecules that they share gene targets with. \n", - "\n", - "For each candidate compound, we examine one gene target at a time in `find_max_sim`. We look through all reference compounds that share the given gene target to find the reference compound which yields the highest Tanimoto coefficient. In `find_gene_sims` we call find_max_sim and combine each returned pair of the most similar reference compound and the coefficient for each gene target into one list and sort from highest to lowest coefficient.The pairs are split into separate lists to make sorting the dataframe more simplistic.\n", - "\n", - "After we have the list of highest Tanimoto Coeffecients, sorted highest to lowest, we can sort the `ranked_candidate_df` DataFrame based on the calculated similairties between each candidiate and the reference compound they share a gene target with.\n", - "\n", - "Some duplicates may occur since their can be multiple SMILES for the same compound. If different SMILES of the same compound yeild the same list of Tanimoto Coefficients, then the duplicate is dropped and you will only be able to the compound in one row of the DataFrame.\n", - "\n", - "Finally, we are only printing at the top 10 drugs, but this number can easily be changed in the argument of `ranked_candidate_df.head()`." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "QEcSSrjF3iWj" - }, - "source": [ - "# given a single gene target and a candidate, find the highest tanimoto \n", - "# coefficient the candidate has with a reference compound that targets the same\n", - "# gene\n", - "def find_max_sim(gene, cand_smiles):\n", - " \"\"\"Finds the treatment compound most similar to the candidate compound out of\n", - " all treatment compounds which target the given gene.\n", - " \n", - " Given a gene and SMILES of a candidate compound, determines the \n", - " Tanimoto Coefficient between each treatment compound that targets the given \n", - " gene and the given candidate SMILES. Uses the gene_to_references dictionary\n", - " created in the Drug-Gene Associations Query section to map genes to the\n", - " treatment compounds which target them. Uses the reference_drugs dictionary\n", - " created in the Get Reference SMILES section to map treatment compound dcids\n", - " to their SMILES.\n", - "\n", - " Args:\n", - " gene: Dcid of the gene to use as the given gene target.\n", - " cand_smiles: SMILES of a candidate compound.\n", - " \n", - " Returns:\n", - " The highest determined Tanimoto Coefficient and the corresponding\n", - " treatment compound in the form of a dictionary.\n", - " \"\"\"\n", - " max = {'coeff': -1, 'ref':''}\n", - " if gene in gene_to_references:\n", - " for ref_mol in gene_to_references[gene]:\n", - " ref_smiles = reference_drugs[ref_mol];\n", - " sim = calculate_tanimoto_coeff(cand_smiles, ref_smiles)\n", - " if sim > max['coeff']:\n", - " max['coeff'] = sim\n", - " max['ref'] = ref_mol\n", - "\n", - " return max\n", - "\n", - "# create list of highest Tanimoto Coefficients for each gene target of a \n", - "# candidate\n", - "def find_gene_sims(row):\n", - " \"\"\"Creates a list of Tanimoto Coefficient for each gene that a candidate\n", - " compound is known to target. \n", - " \n", - " Given a row from ranked_candidate_df, finds the maximum Tanimoto Coefficient\n", - " for each gene target of the candidate. Saves the list of coefficients,\n", - " corresponding treatment compound dcids, and the pairings of coeffcients to\n", - " treatment compounds as separate columns in ranked_candidate_df.\n", - "\n", - " Args:\n", - " row: Row of ranked_candidate_df containing columns for the candidate dcid,\n", - " candidate SMILES, and the candidates' gene targets. \n", - " \n", - " Returns:\n", - " The given row with the new columns 'tanimoto_coefficients', \n", - " 'reference_compounds', and 'similarity_pair' appended.\n", - " \"\"\"\n", - " row['tanimoto_coefficients'] = []\n", - " row['reference_compounds'] = []\n", - " row['similarity_pair'] = []\n", - "\n", - " sim_pairs = []\n", - " for gene in row['genes_list']:\n", - " sim_pairs.append(find_max_sim(gene, row['smiles']))\n", - " sorted_sims = sorted(sim_pairs, key = lambda i: i['coeff'], reverse=True)\n", - " for pair in sorted_sims:\n", - " row['tanimoto_coefficients'].append(pair['coeff'])\n", - " row['reference_compounds'].append(pair['ref'])\n", - " row['similarity_pair'].append(pair)\n", - " return row\n", - "\n", - "# find the list of tanimoto coefficients\n", - "ranked_candidate_df = ranked_candidate_df.apply(lambda row: find_gene_sims(row), axis=1)\n", - "# sort the data frame\n", - "ranked_candidate_df = ranked_candidate_df.sort_values(by='tanimoto_coefficients', ascending=False, ignore_index=True)\n", - "# drop duplicates caused by compounds with multiple SMILES\n", - "ranked_candidate_df.tanimoto_coefficients = ranked_candidate_df.tanimoto_coefficients.astype(str)\n", - "ranked_candidate_df = ranked_candidate_df.drop_duplicates(subset=['candidate_dcid', 'tanimoto_coefficients'],ignore_index=True)\n", - "ranked_candidate_df.tanimoto_coefficients = ranked_candidate_df.tanimoto_coefficients.apply(literal_eval)\n", - "# print top 10 compounds\n", - "ranked_candidate_df.head(10)" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "aDnVlHfbnvQD" - }, - "source": [ - "### Viewing Structures\n", - "Using functions from RDKit, we can view the structures of the molecules. Again, here we are only viewing the top 10 candidates found, but this can also be modified." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "f6lfZVGyXGvR", - "outputId": "c709f6e5-8976-4acc-9729-898f0e8684ae", - "colab": { - "background_save": true - } - }, - "source": [ - "# View Top 10 Structures\n", - "best_mols = ranked_candidate_df.smiles[:10].apply(Chem.MolFromSmiles)\n", - "Chem.Draw.MolsToGridImage(best_mols,molsPerRow=5)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 0 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "c1Y18dEx4cfe" - }, - "source": [ - "We can also use the same logic to view a candidate molecule side by side with a treatment compound." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "T2TbfFYO4X1n" - }, - "source": [ - "# View top molecule vs most similar treatment with shared gene target\n", - "top_mol = Chem.MolFromSmiles(ranked_candidate_df.smiles[0])\n", - "ref_mol = Chem.MolFromSmiles(reference_drugs[ranked_candidate_df.reference_compounds[0][0]])\n", - "Chem.Draw.MolsToGridImage([top_mol, ref_mol], molsPerRow=2)" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "4TeVqlunbih7" - }, - "source": [ - "# Analyzing Top Molecule\n", - "\n", - "Now we can look in depth at higest ranked molecule. By querrying Data Commons, we can find a more information about the drug and determine if it has been approved for human use." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "wiCuzclQcbs1" - }, - "source": [ - "top_mol_dcid = ranked_candidate_df['candidate_dcid'].tolist()[0]\n", - "print('top candidate: ' + top_mol_dcid)\n", - "\n", - "# get outgoing triple labels for the drug\n", - "out_labels = dc.get_property_labels([top_mol_dcid], out=True)[top_mol_dcid]\n", - "print('\\nDrug properties we could examine:')\n", - "for label in out_labels:\n", - " print(label)\n", - "\n", - "print('\\nSome specific values for bio/CHEMBL532:')\n", - "for label in ['administrationRoute', 'commonName', 'dosageForm', 'drugName', 'maximumFDAClinicalTrialPhase', 'propietaryName', 'recognizingAuthority', 'url']:\n", - " value = dc.get_property_values([top_mol_dcid], label, out=True)[top_mol_dcid]\n", - " print(label + ': ' + str(value))" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "s2Qz1SAM7WTg" - }, - "source": [ - "Here we can see what information regarding this compound we can find in the Data Commons Knowledge Graph. We can also view details about the compound in the Data Commons Graph Browser [here](https://datacommons.org/browser/bio/CHEMBL532). We can also learn more by using the IDs listed above to find the drug in other databases like pubChem and ChEMBL.\n", - "\n", - "In terms of finding a new application for a drug we first want to check what stage of clinical trials it has passed. Here, we see that erythromycin has a maximum FDA Clinical Trial Phase of 5, which means that it's approved and it completed the FDA post-market drug safety monitoring. This means this drug could be a candidate for off-label prescription use to treat Crohn's Disease.\n", - "\n", - "It is important to consider whether a drug candidate has attributes that are appropriate for the proposed application of the compound. In this case for Crohn's Disease an administration route of a tablet would be appropriate. Next we should find out which company makes Erythromycin to see if this administration format is currently being produced and marketed. To do that we will examine the FDA application submitted for that particular drug strength. Each drug strength points to an FDA application submitted for that particular strength." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "ZISWqt2Pw8ks", - "outputId": "fda0f639-93c9-476d-8fba-79fa70e19e7f", - "colab": { - "background_save": true - } - }, - "source": [ - "# look at specific drug strength information\n", - "strength_dcid = ''\n", - "try: \n", - " strength_dcid = dc.get_property_values([top_mol_dcid], 'availableStrength', out=True)[top_mol_dcid]\n", - "\n", - " out_labels = dc.get_property_labels(strength_dcid, out=True)[strength_dcid[0]]\n", - " print(strength_dcid)\n", - "\n", - " print('---Outgoing Drug Strength Triples---')\n", - " for label in out_labels:\n", - " value = dc.get_property_values(strength_dcid, label, out=True)[strength_dcid[0]]\n", - " print(label + ': ' + str(value))\n", - "except:\n", - " print('There is no FDA data for this compound.')\n", - "\n", - "if strength_dcid: \n", - " print('\\n')\n", - "\n", - " # look at FDA Application\n", - " fda_app_dcid = dc.get_property_values(strength_dcid, 'submittedFDAApplication', out=True)[strength_dcid[0]]\n", - "\n", - " print(fda_app_dcid)\n", - "\n", - " out_labels = dc.get_property_labels(fda_app_dcid, out=True)[fda_app_dcid[0]]\n", - " print('---Outgoing FDA Application Triples---')\n", - " for label in out_labels:\n", - " value = dc.get_property_values(fda_app_dcid, label, out=True)[fda_app_dcid[0]]\n", - " print(label + ': ' + str(value))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "['bio/CHEMBL532_Strength-208100-1_0', 'bio/CHEMBL532_Strength-208154-1_0', 'bio/CHEMBL532_Strength-209720-1_0', 'bio/CHEMBL532_Strength-209720-2_0', 'bio/CHEMBL532_Strength-210954-1_0', 'bio/CHEMBL532_Strength-210954-2_0', 'bio/CHEMBL532_Strength-210954-3_0', 'bio/CHEMBL532_Strength-50526-1_0', 'bio/CHEMBL532_Strength-50532-1_0', 'bio/CHEMBL532_Strength-50536-1_0', 'bio/CHEMBL532_Strength-50557-1_0', 'bio/CHEMBL532_Strength-50584-1_0', 'bio/CHEMBL532_Strength-50593-1_0', 'bio/CHEMBL532_Strength-50594-1_0', 'bio/CHEMBL532_Strength-50610-1_0', 'bio/CHEMBL532_Strength-50611-1_0', 'bio/CHEMBL532_Strength-50611-2_0', 'bio/CHEMBL532_Strength-50617-1_0', 'bio/CHEMBL532_Strength-60272-1_0', 'bio/CHEMBL532_Strength-60272-2_0', 'bio/CHEMBL532_Strength-61621-1_0', 'bio/CHEMBL532_Strength-61621-2_0', 'bio/CHEMBL532_Strength-61633-1_0', 'bio/CHEMBL532_Strength-62290-1_0', 'bio/CHEMBL532_Strength-62298-1_0', 'bio/CHEMBL532_Strength-62298-2_0', 'bio/CHEMBL532_Strength-62298-3_0', 'bio/CHEMBL532_Strength-62326-1_0', 'bio/CHEMBL532_Strength-62327-1_0', 'bio/CHEMBL532_Strength-62328-1_0', 'bio/CHEMBL532_Strength-62338-1_0', 'bio/CHEMBL532_Strength-62342-1_0', 'bio/CHEMBL532_Strength-62446-1_0', 'bio/CHEMBL532_Strength-62447-1_0', 'bio/CHEMBL532_Strength-62481-1_0', 'bio/CHEMBL532_Strength-62485-1_0', 'bio/CHEMBL532_Strength-62508-2_0', 'bio/CHEMBL532_Strength-62522-1_0', 'bio/CHEMBL532_Strength-62546-1_0', 'bio/CHEMBL532_Strength-62563-1_0', 'bio/CHEMBL532_Strength-62563-2_0', 'bio/CHEMBL532_Strength-62616-1_0', 'bio/CHEMBL532_Strength-62618-1_0', 'bio/CHEMBL532_Strength-62648-1_0', 'bio/CHEMBL532_Strength-62687-1_0', 'bio/CHEMBL532_Strength-62746-1_0', 'bio/CHEMBL532_Strength-62825-1_0', 'bio/CHEMBL532_Strength-62957-1_0', 'bio/CHEMBL532_Strength-63038-1_0', 'bio/CHEMBL532_Strength-63098-1_0', 'bio/CHEMBL532_Strength-63107-1_0', 'bio/CHEMBL532_Strength-63211-1_0', 'bio/CHEMBL532_Strength-64030-1_0', 'bio/CHEMBL532_Strength-64039-1_0', 'bio/CHEMBL532_Strength-64067-1_0', 'bio/CHEMBL532_Strength-64126-1_0', 'bio/CHEMBL532_Strength-64127-1_0', 'bio/CHEMBL532_Strength-64128-1_0', 'bio/CHEMBL532_Strength-64184-1_0', 'bio/CHEMBL532_Strength-64187-1_0', 'bio/CHEMBL532_Strength-65320-1_0', 'bio/CHEMBL532_Strength-90215-1_0']\n", - "---Outgoing Drug Strength Triples---\n", - "activeIngredient: ['Erythromycin']\n", - "fdaProductID: ['1']\n", - "hasActiveIngredientAmount: ['bio/Erythromycin_2_Prct']\n", - "manufacturer: ['Teligent Pharma Inc']\n", - "marketingStatus: ['MarketingStatusPrescription']\n", - "name: ['CHEMBL532_Strength-208100-1_0']\n", - "provenance: ['dc/1yqywl2']\n", - "submittedFDAApplication: ['bio/FDA_Application_208100']\n", - "therapeuticEquivalenceCode: ['TherapeuticEquivalenceCodeAT']\n", - "typeOf: ['DrugStrength']\n", - "\n", - "\n", - "['bio/FDA_Application_208100']\n", - "---Outgoing FDA Application Triples---\n", - "applicationType: ['ApplicationTypeANDA']\n", - "fdaApplicationNumber: ['208100']\n", - "name: ['FDA_Application_208100']\n", - "provenance: ['dc/1yqywl2']\n", - "sponsor: ['Teligent Pharma Inc']\n", - "typeOf: ['FDAApplication']\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Uf4emnDgkPze" - }, - "source": [ - "From this information we can see the marketing status for the drug, the sponsor, and information about the submitted FDA application. We can see that Teligent Pharma Inc. filed the application. A quick google search reveals that Teligent Pharma Inc. only produces Erythromycin in gel and topical cream formats (https://www.teligent.com/pipeline-products/products/).\n", - "\n", - "This would not be an appropriate administration route to treat Crohn's Disease, which is an inflammatory bowel disease. Therefore further work would need to be done to develop an alternative administration route for erythromycin before examining it's effectiveness at treating Crohn's Disease.\n", - "\n", - "Finally, the last thing we may want to check is other diseases that this compound treats. We will do that here with one last query to Data Commons. To check the incoming triples for a given node, the out argument to get_property_labels must be set to False.\n" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "CS14W1-WuQMX" - }, - "source": [ - "# get incoming triple labels for the drug\n", - "in_labels = dc.get_property_labels([top_mol_dcid], out=False)[top_mol_dcid]\n", - "print('in labels: ' + str(in_labels))\n", - "print('\\n---Incoming Triples---')\n", - "for label in in_labels:\n", - " value = dc.get_property_values([top_mol_dcid], label, out=False)[top_mol_dcid]\n", - " print(label + ' of ' + str(value))\n", - "\n", - "try:\n", - " print('\\n' + top_mol_dcid + ' is known to treat:')\n", - " # we want to find the side effects, we can do so by specifiying the type of \n", - " # incoming value we want to find\n", - " treatment_nodes = dc.get_property_values([top_mol_dcid], 'compoundID', out=False, value_type='ChemicalCompoundDiseaseTreatment')[top_mol_dcid]\n", - " treatment_lists = list(dc.get_property_values(treatment_nodes, 'diseaseID', out=True).values())\n", - " diseases = [disease_list[0] for disease_list in treatment_lists]\n", - "\n", - " disease_names = list(dc.get_property_values(diseases, 'commonName', out=True).values())\n", - " for name in disease_names:\n", - " print(name)\n", - "except:\n", - " print('There are no ChemicalCompoundDiseaseTreatment nodes involving this compound.')" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "i55j-6iF_BbE" - }, - "source": [ - "From this information, we can conclude that this drug has been previously approved for human use. A researcher could gather all of the information above to begin more diagnostics, tests, and eventually trials to determine if this compound could be used as a treatment for the given disease.\n", - "\n", - "We can perform the analysis above on any of the ranked or unranked candidates to find out more information about the compound. Now that candidiates have been identified, the next phase of drug discovery can begin in which the candidates are screened based on additional data about each compound." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "N0qniDx1oof6" - }, - "source": [ - "# Conclusion\n", - "In this tutorial, we accessed data from different sources by querying Data Commons. We also found new compounds that may be good candidates to treat the disease `Crohn's disease`. If you'd like to examine drug candidates using this approach for a different disease, then make a copy of this notebook and change the input to your disease of interest." - ] - } - ] -} diff --git a/notebooks/Missing_Data_Imputation_Tutorial.ipynb b/notebooks/Missing_Data_Imputation_Tutorial.ipynb deleted file mode 100644 index bb09a3cc..00000000 --- a/notebooks/Missing_Data_Imputation_Tutorial.ipynb +++ /dev/null @@ -1,884 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Missing Data Imputation Tutorial.ipynb", - "provenance": [], - "collapsed_sections": [], - "include_colab_link": true - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "eWzIlsjpVSXY" - }, - "source": [ - "Copyright 2020 Google LLC.\n", - "SPDX-License-Identifier: Apache-2.0\n", - "\n", - "Author: Mahsa Eftekhari" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "m-Jrb-eMOvMP" - }, - "source": [ - "# Time Series Holes: A Case Study Using Data Commons\n", - "\n", - "In this notebook, we will examine types of missing values in time series and methods of imputing those values. Missing values might happen during data collection, or may be intentionally introduced during processing. Data scientists often impute missing values before using time series for analysis and machine learning.\n", - "\n", - "First, we will survey random statistical variables from Data Commons and visualize their time series for a few counties. This will give us an understanding of the types of time series holes that exist.\n", - "\n", - "Then, we will impute missing values using Pandas imputation methods that the [scipy.interpolate](https://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html) package provides.\n", - "\n", - "\n", - "**To use this notebook, click on 'Runtime' and select 'Run all'**." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "b-Wt5rWaAtSQ", - "cellView": "form" - }, - "source": [ - "#@title Technical details: sampling function\n", - "#\n", - "#\n", - "#@markdown This section contains the functions that we use to retrieve data from Data Commons. We use \n", - "#@markdown [**`build_time_series_dataframe`**](https://docs.datacommons.org/api/pandas/time_series.html) \n", - "#@markdown to access the data for each sampled statistical variable. \n", - "#\n", - "#@markdown **To reveal the hidden code double click on this section.**\n", - "#\n", - "\n", - "\n", - "\"\"\"\n", - "The function input are the total sampled statistical variables and a boolean flag for \n", - "plot/not plot the sampled statistical variables. To avoid value errors for statistical variables \n", - "with no data for our selected state we use try/except. \n", - "\"\"\"\n", - "def select_random_statvars(sample_size, plot_flag, log_p):\n", - " prov = pd.DataFrame(dc.get_property_values([\"StatisticalVariable\"], \"typeOf\", out =False, limit =500))\n", - "\n", - " chosen_idx = np.random.choice(len(prov.index), replace=False, size=sample_size)\n", - " df_trimmed = prov.iloc[chosen_idx]\n", - " allstatvars = set(df_trimmed['StatisticalVariable'])\n", - " pltstats =[]\n", - "\n", - " # Comment the following line if you want to include all statistical variables:\n", - " allstatvars = [x for x in allstatvars if not (x.startswith(\"dc/\"))]\n", - "\n", - " geoids = (dc.get_places_in([_PLACE], \"County\"))[_PLACE]\n", - "\n", - " \"\"\"\n", - " For each statistical variable, a column represents a county (e.g. counties contained in California). \n", - " We select time series with at least four data points, at least four complete counties, and at least \n", - " four missing values. You can change the threshold by setting another value to *threshold*.\n", - " \"\"\"\n", - " for statvar in allstatvars:\n", - " try:\n", - " data = dc.build_time_series_dataframe(geoids, statvar)\n", - "\n", - " # Get all state names and store it in a column \"name\"\n", - " # Get the first name, if there are multiple for a state\n", - " data.insert(0, 'name', data.index.map(dc.get_property_values(data.index, 'name')).str[0])\n", - " data.set_index('name', inplace=True)\n", - " data = data.transpose()\n", - "\n", - " data.dropna(axis=0, how='all', inplace=True)\n", - "\n", - " notNaColumns = data.columns[data.notna().all()].tolist()\n", - " naColumns = data.columns[data.isnull().any()].tolist()\n", - " \n", - " threshold = 4\n", - " if (len(naColumns) > threshold and len(notNaColumns)> threshold and data.size> threshold):\n", - " if (plot_flag):\n", - " plt = data[naColumns].plot(style=['bo-', 'o-', 'ro-'], figsize=(22, 10));\n", - " plt.set_ylabel(statvar, fontsize=14)\n", - " plt.set_xlabel('Date', fontsize=14)\n", - " pltstats.append(statvar)\n", - " except ValueError as e:\n", - " if (log_p):\n", - " print(statvar, ': No data for', _PLACE)\n", - " \n", - " return pltstats" - ], - "execution_count": 1, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "20oMQF58TCZO" - }, - "source": [ - "#@title Technical details: validation\n", - "#\n", - "#\n", - "#@markdown In this section, we explain the implementation details of the cross-validation function for technical readers. \n", - "#\n", - "#@markdown **To reveal the hidden code double click on this section.**\n", - "#\n", - "#\n", - "\n", - "\"\"\"\n", - "The *artificial_score_generator* retrieves data using *build_time_series_dataframe* for each statistical variable.\n", - "It calls the *multiple_rounds_score_validation* to compute a matrix of R2 scores for each method and statistical \n", - "variable. \n", - "\"\"\"\n", - "\n", - "def artificial_score_generator(rand_st, quiet=False):\n", - " if (len(rand_st) < 1):\n", - " print(\"run select_random_statvars again\")\n", - " return\n", - "\n", - " geoids = (dc.get_places_in([_PLACE], \"County\"))[_PLACE]\n", - " all_scores = pd.DataFrame()\n", - " i = -1\n", - " for sv in rand_st:\n", - " i += 1\n", - " data = dc.build_time_series_dataframe(geoids, sv).transpose()\n", - " data.reset_index(level=0, inplace=True)\n", - " data.dropna(axis=1, how='all', inplace=True)\n", - " data['index'] = pd.to_datetime(data['index'])\n", - " data.set_index('index', inplace=True)\n", - "\n", - " current_scores = multiple_rounds_cross_validation(data, 20, sv, quiet)\n", - " # Cap negative values at -100.\n", - " current_scores.iloc[:, 1:2] = current_scores.iloc[:, 1:2].apply(lambda x: [y if y > -100 else -101 for y in x])\n", - " if i > 0:\n", - " all_scores = all_scores.merge(current_scores, on='method', how='left')\n", - " else:\n", - " all_scores = current_scores\n", - " \n", - " return all_scores\n", - "\n", - "\"\"\"\n", - "*multiple_rounds_score_validation* function calls *one_round_cross_validation()* for \n", - "(rounds =) 20 times. In each round, the *one_round_cross_validation()* removes data points \n", - "*independently and uniformly at random* and calls *_FillwithX()* to impute the SAME set of missing \n", - "data points with each method from the set *_METHODS* that we defined earlier. \n", - "To generate a normalized result, we report the average of calculated scores.\n", - "\"\"\"\n", - "\n", - "def multiple_rounds_cross_validation(df, rounds, stvar, quiet=False):\n", - " notNaColumns = df.columns[df.notna().all()].tolist()\n", - " multiple_rsquared_values = one_round_cross_validation(df, stvar, quiet)\n", - " cols = multiple_rsquared_values.columns.difference(['method'])\n", - " for round in range(rounds-1):\n", - " multiple_rsquared_values[cols] = multiple_rsquared_values[cols].add(one_round_cross_validation(df, stvar, quiet)[cols])\n", - " \n", - " multiple_rsquared_values[cols] = multiple_rsquared_values[cols]/rounds\n", - " ave = 'Average of %s rounds for %s'%(rounds, stvar)\n", - " multiple_rsquared_values[ave]=multiple_rsquared_values.mean(axis=1,skipna=True)\n", - " multiple_rsquared_values.sort_values(by=ave, inplace = True, ascending=False)\n", - " return multiple_rsquared_values[['method',ave]].round(3) \n", - "\n", - "def one_round_cross_validation(df, sv, quiet=False):\n", - " rsquared_df = pd.DataFrame({'method': pd.Series(_METHODS)})\n", - " notNaColumns = df.columns[df.notna().all()].tolist()\n", - " df = df[notNaColumns]\n", - "\n", - " # Make a copy of each column and randomly delete values from original columns:\n", - " for col in notNaColumns:\n", - " df[col+\"_ref\"] = df[col].copy()\n", - " df[col] = df[col].sample(frac=0.8)\n", - "\n", - " for col in notNaColumns:\n", - " _FillwithX(df, col, sv, quiet)\n", - " result = []\n", - " # scoring the result and see which is better\n", - " for m in _METHODS:\n", - " r2 = -100\n", - " try:\n", - " r2 = r2_score(df[col+'_ref'], df[\"Fill\"+m+\"_\"+col])\n", - " except ValueError as e:\n", - " warnings.warn(\"r2 returns large negative value for %s :\" %m)\n", - " result += [(m, r2)]\n", - " \n", - " rsquared_df[\"r2_\"+col] = pd.DataFrame(result, columns=['Method', 'R_squared'])['R_squared'].copy()\n", - " rsquared_df[\"r2_\"+col] = pd.to_numeric(rsquared_df[\"r2_\"+col])\n", - " return rsquared_df \n", - "\n", - "\n", - "def _FillwithX(df, geo, sv, quiet=False):\n", - " for meth in _METHODS:\n", - " method = \"Fill\"+meth+\"_\"+geo\n", - " try:\n", - " if (meth == 'Mean'):\n", - " df[method] = df[geo].fillna(df[geo].mean())\n", - " elif (meth == 'Median'):\n", - " df[method] = df[geo].fillna(df[geo].median()).bfill()\n", - " elif (meth == 'Spline_d1'):\n", - " df[method] = df[geo].interpolate(method='spline', order=1).bfill()\n", - " elif (meth == 'Spline_d2'):\n", - " df[method] = df[geo].interpolate(method='spline', order=2).bfill()\n", - " elif (meth == 'Spline_d3'):\n", - " df[method] = df[geo].interpolate(method='spline', order=3).bfill()\n", - " elif (meth == 'Spline_d4'):\n", - " df[method] = df[geo].interpolate(method='spline', order=4).bfill()\n", - " elif (meth == 'Spline_d5'):\n", - " df[method] = df[geo].interpolate(method='spline', order=5).bfill()\n", - " elif (meth == 'InterpolateLinear'):\n", - " df[method] = df[geo].interpolate(method='linear').bfill()\n", - " elif (meth == 'Time'):\n", - " df[method] = df[geo].interpolate(method='time').bfill()\n", - " elif (meth == 'InterpolateAkima'):\n", - " df[method] = df[geo].interpolate(method='akima', order=2).bfill()\n", - " elif (meth == 'InterpolateSLinear'):\n", - " df[method] = df[geo].interpolate(method='slinear').bfill()\n", - " elif (meth == 'InterpolatePoly5'):\n", - " df[method] = df[geo].interpolate(method='polynomial', order=2).bfill()\n", - " elif (meth == 'InterpolatePoly7'):\n", - " df[method] = df[geo].interpolate(method='polynomial', order=7).bfill()\n", - " elif (meth == 'Krogh'):\n", - " df[method] = df[geo].interpolate(method='krogh').bfill()\n", - " elif (meth == 'Pchip'):\n", - " df[method] = df[geo].interpolate(method='pchip').bfill()\n", - " except:\n", - " if not quiet:\n", - " print(meth, \"imputation raised error for \", sv, \" filled missing value with zero instead!\")\n", - " df[method] = df[geo].fillna(0, inplace=True) \n", - " return df" - ], - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "iVcpgbNr_m5l" - }, - "source": [ - "# from google.colab import auth\n", - "# auth.authenticate_user()\n", - "\n", - "# Import the required libraries\n", - "import pandas as pd\n", - "import random\n", - "\n", - "!pip install datacommons --upgrade --quiet\n", - "import datacommons_pandas as dc\n", - "\n", - "# Import other required libraries\n", - "import matplotlib.pyplot as plt\n", - "plt.rcParams.update({'font.size': 22})\n", - "import matplotlib.patches as mpatches\n", - "\n", - "# Import a scoring metric to compare methods\n", - "from sklearn.metrics import r2_score\n", - "# %matplotlib inline\n", - "\n", - "import numpy as np\n", - "\n", - "import warnings\n", - "\n", - "states = pd.DataFrame(dc.get_places_in(['country/USA'], 'State')['country/USA'])\n", - "states.insert(0, 'name', states[0].map(dc.get_property_values(states[0], 'name')).str[0])" - ], - "execution_count": 3, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "9rRpybHcPAWh" - }, - "source": [ - "# Part 1: Sample random statistical variables\n", - "\n", - "In the following block, we will query Data Commons for the time series of 300 statistical variables for your selected state (defaults to California). Then, we will explore the datasets for all counties inside the state and plot the times series that are available for at least 4 counties. In **`select_random_statvars(sample_size, plot_flag, print_flag)`**, you can alter the plot_flag and print_flag to hide the plots and print logs respectively. The third option will let you see the sampled statistical variables with no data within the selected place. \n", - "\n", - "**Note:** For visual purposes, we include dots for a maximum of 3 lines. We use plain lines if there are more than 3 counties to plot. " - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "YaJPrlmKOVfN", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "753e002a-91ad-4df5-c9da-3ae5c5eecded" - }, - "source": [ - "#@title Select a state to plot { run: \"auto\" }\n", - "state_name = \"California\" #@param [\"Missouri\", \"Arkansas\", \"Arizona\", \"Ohio\", \"Connecticut\", \"Vermont\", \"Illinois\", \"South Dakota\", \"Iowa\", \"Oklahoma\", \"Kansas\", \"Washington\", \"Oregon\", \"Hawaii\", \"Minnesota\", \"Idaho\", \"Alaska\", \"Colorado\", \"Delaware\", \"Alabama\", \"North Dakota\", \"Michigan\", \"California\", \"Indiana\", \"Kentucky\", \"Nebraska\", \"Louisiana\", \"New Jersey\", \"Rhode Island\", \"Utah\", \"Nevada\", \"South Carolina\", \"Wisconsin\", \"New York\", \"North Carolina\", \"New Hampshire\", \"Georgia\", \"Pennsylvania\", \"West Virginia\", \"Maine\", \"Mississippi\", \"Montana\", \"Tennessee\", \"New Mexico\", \"Massachusetts\", \"Wyoming\", \"Maryland\", \"Florida\", \"Texas\", \"Virginia\"]\n", - "_PLACE = states.loc[states['name'] == state_name].values[0][1]\n", - "\n", - "# Set the second value to True if you want to plot data for the sampled statistical variable:\n", - "random_stats = select_random_statvars(300, plot_flag=True, log_p=False)\n", - "print(\"Number of valid samples: \" , len(random_stats), random_stats)" - ], - "execution_count": 4, - "outputs": [ - { - "output_type": "stream", - "text": [ - "Number of valid samples: 14 ['Count_Establishment_PrivatelyOwnedEstablishment_NAICSHealthCareSocialAssistance', 'Count_Death_55To64Years_ExternalCauses', 'Count_Death_Female_BlackOrAfricanAmerican', 'ReceiptsOrRevenue_Establishment_NAICSEducationalServices_WithPayroll', 'Count_Death_45To54Years_ExternalCauses', 'WagesTotal_Worker_LocalGovernmentOwnedEstablishment_NAICSPublicAdministration', 'WagesTotal_Worker_StateGovernmentOwnedEstablishment_NAICSServiceProviding', 'WagesTotal_Worker_NAICSAdministrativeSupportWasteManagementRemediationServices', 'Count_Death_DiseasesOfTheDigestiveSystem_Male_White', 'WagesAnnual_Establishment_NAICSInformation', 'Count_Death_55To64Years_Neoplasms_BlackOrAfricanAmerican', 'Count_Death_55To64Years_ExternalCauses_White', 'Count_Death_65To74Years_Female_White', 'Count_Worker_PrivatelyOwnedEstablishment_NAICSEducationalServices']\n" - ], - "name": "stdout" - }, - { - "output_type": "display_data", - "data": { - "image/png": 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ZQnBwMMOHD6dEiRI0aNCALl260KpVK8qVK0eZMmUYO3bsbcskIiIiIiIicre59MsvHHv2WbIWK0rJGdPJWkiFypS4Xaw0xjxojBkHnAA+IG5ZeGNPBxO5W+XLl48tW7YQGhqaUCzcsmUL7dq1Y9u2bU6Xh6enSpUq8dtvv/Huu+9Srlw5tm3bxjfffMO2bdsoWLAgr7/+OpMnT76tmURERERERETuFlHrN3DsuT74lShByenT8Q0M9HakDM2kdOJwkpuMyQN0AXoD5YDvgceBKtba39M14V2gevXqdsuWLS7du3fvXipUqJDOiUTkbqa/R0RERERERDKGqHXrCOvbD78yZQj+Yiq++fJ5O1KGYIzZaq2t7qwvzZmVxpiZQBjQDvgUKGKtfcqzEUVERERERERERO4eF9esIez5vviVvUeFSjf4unDPk8Ao4ENrbUQ65xEREREREREREbmjXVy1irCBL5D93nsJnvI5PnnzejvSHcOVPSs7AVWBMGPMAmNMW2NM1nTOJSIiIiIiIiIicse5sGIFYQMGkr1CBYK/mKpCpZvSLFZaa+dba1sA9wHbgA+Bvx1jHzDGmPSNKCIiIiIiIiIikvFd+N9yjv97EDkqVoybUZk7t7cj3XFcPg3cWhtmrR1hrb2HuMN15gGfAyeNMRPSK6CIiIiIiIiIiEhGd2HZMo6/+CI5KlemxJTP8QkI8HakO5Ire1YmY61dCaw0xuQDngZ6ejSViIiIiIiIiIjIHSJq7VqODx5CjgeqEjxpElly5fJ2pDuWyzMrnbHWRlhrP7XWVvFUIBERERERERERkTvFP9u2JxymU2LiRBUqb1GqMyuNMaNdfI611g70QB4REREREREREZE7wpX9+zn23HP4Fi5Eic8m4+Pv7+1Id7y0loFXcvE59laDiIiIiIiIiIiI3CmuHz/Osd7PkCVbNoKnTMG3QAFvR7orpFqstNY2uF1BRERERERERERE7gTR4eH81as3sVeuUHLmTPyKF/d2pLvGTR2wIyIiIiIiIiIikhnFRF3iWOizXD95kuAvppL9vnu9Hemu4lax0hhzL9ABCAb8EvdZa3UiuIiIiIiIiIiI3LVir10jrH8/ruzdS/GxY8j54IPejnTXcblYaYxpAXwLbAeqAZuBe4BswLp0SSciIiIiIiIiIpIB2JgYTgwewj+/bCTovZEENNDuiekhixv3vgUMt9bWBq4CXYFSwEpgjceTiYiIiIiIiIiIZADWWv4eMYKLy5dTaMgQ8rZp4+1Idy13ipX3AXMd19eBnNbaK8QVMV/wdDCRtMTGxhIcHIwxhsDAQK5fv57q/aVKlcIYw5EjRzzy/t27d8cYw7Rp0zzyvPS2dOlSunbtStmyZfH39ydbtmwUL16cFi1aMHHiRC5evOjtiCIiIiIiIiIZjrWWs2PGEDlnLgV696JAzx7ejnRXc6dYeRHI7rg+CZR1XPsC+TwZSsQVK1as4NixYwCcPXuWhQsXejlRxnT69GlCQkJo0aIFX375JX5+fjRp0oS2bdtSqlQpVq5cSZ8+fShTpgxHjx71dly3GWMwxng7hoiIiIiIiNxlYq9dI/Lb+Rxq2ZKz4yeQp107Al980dux7nruFCt/Beo6rpcAHxlj3gS+AH5x9SHGmGnGGJvK174UxmUxxvQ1xmwxxkQZY84bY9YZY5504T07O+497xi7xfGsVD+/MaaZMeYHY0y4MeYfY8xuY8yrxphsrn5eST9Tp04FoFixYkle3y4jR45k7969tG3b9ra+rzsiIyOpU6cOa9eupXbt2uzcuZPff/+d+fPnM2fOHNavX8/Zs2cZNWoU165dIyIiwtuRRURERERERLwq5vx5zk6azIFGjTj56qsYH1+C3htJ0Ii3NFnmNnDnNPBBgL/jehgQALQH9jv63LUBOOCk/eSNDcYYH2A+0Aq4APxA3ME+jYCvjDG1rLUDnb2JMWYc8DxwBfiRuCXsjYCxQCNjTAdrbayTcUOAUUAMcXtyRgD1gbeBx4wxjay1/7jzgcVzwsPD+f777zHGMGfOHEJCQli+fDknTpygaNGityVDUFAQQUFBt+W9bla/fv04cOAANWvWZNWqVWTPnj3ZPQEBAQwZMoR27dqRK1cuL6QUERERERER8b5rYWGET59B5LffYv/5h1x161JgVA9y1q6tIuVt5PLMSmvtIWvtb47rf6y1fay1la21Hay1f93Ee39ure3u5OsVJ/e+QFyh8nfgXmttO2ttC6AScAoYYIxpfeMgY0x74gqVfwOVrbWPWWvbAuWAvUBboL+TcdWB94B/gDrW2sbW2o5AGeAnoBbwzk185gxp1iwoVQqyZIn7PmuWtxOlbdasWVy9epWQkBDq1q1LkyZNiImJYfr06W4/KyQkBGMMa9asYfXq1TRu3Jh8+fLh7+9P3bp1U1xentKelcOGDcMYw7Bhwzh16hTPPvssxYsXJ1u2bJQuXZqhQ4dy5cqVFPP8+uuvPPHEExQvXhw/Pz8CAwNp1aoV69evd+tzHTx4kNmzZwMwceJEp4XKxMqWLZus+Hr9+nXGjh3LQw89RO7cucmRIwcVKlRg6NChnDt3Ltkz1qxZgzGGkJAQp+9x5MgRjDGUKlUqxXZrLePHj6dq1arkzJmTfPny0bp1a3bv3p1kTPzPOV78cvDEy8J79eqFMYb33nsvxc89ZswYjDF06tQptR+PiIiIiIiI3KUu79pF2L//zcEmTYmYM4fcTZpQ+vvvCP78M3L9618qVN5m7iwD9wrHrMohjpd9rLWn4vustX8CLztevupkeHzh82XHvfHjTgF9HC+HOlkOPhQwwChr7a+JxkUBPYBY4HljTN6b+1QZx6xZEBoKR4+CtXHfQ0MzfsEyfsl39+7dAejRI25z2y+++OKmn7lgwQIaN27M6dOnefTRR6lSpQobNmygdevWfPzxx24/79ixY1SrVo3FixdTu3ZtQkJCOH36NKNGjUqxMPbRRx9Ru3Ztvv76a4oUKULr1q0pW7YsS5YsoX79+nz22Wcuv//ixYuJjY2lUqVKPPDAA27nv3LlCk2aNKF///7s3r2bevXq0bJlSyIjIxk1ahTVqlXj0KFDbj83Ld27d2fQoEEUKlSIFi1akCdPHhYuXEidOnWSvF/VqlXp1q1bwutu3bol+QLo3z/u3yImTZpEbGyyCdQAjB8/HoC+fft6/LOIiIiIiIhIxmWt5fRHH3GkYycurd9AgV49KbtyBUXfG0n2++7zdrxMK9Vl4MaYC0AZa+1ZY8xFwKZ0r7U2t6fDOdQGCgFh1tqfnPTPAz4DahhjillrjwMYY4oD1YBrjntuzLvWGHMcKEbcTMmfHeP8gEcdtyUr2VlrDxljfgHqAM2Br27t47nnhRdgxw7PPW/jRrh6NWnbP/9Ar17gRl0sVVWrwn//65lnAWzfvp0dO3YQEBBAhw4dAGjVqhX58+fnzz//ZN26dTz88MNuP3f06NF88MEHvPTSSwltixYtol27dgwZMoTGjRtTuXJll583depUevfuzbhx4/Dz8wNg79691KxZk0WLFrFhwwbq1KmTcP+yZct46aWXKFq0KPPnz+ehhx5K6NuwYQPNmzenb9++1K9fn3vvvTfN99+6dSsANWrUcDlzYm+88QZr1qyhfPnyrFy5MmFv0MuXL9O1a1e+/fZbunTpwi+/uLxlbZqOHj3KunXr2LNnD/fccw8AV69epV27dixdupSRI0cmFGzbtGlDmzZtEmbTOjuVvWrVqtStW5f169ezdOlSHnvssST9q1atYt++fVSsWJH69et77HOIiIiIiIhIxnd2zFjOffY5eTt2pNDLL+Pjr63RMoK0Zlb2J+4U8Pjr1L7c1cAY87ExZrIxZoQxpmkKB97ETwnb7Owhjn0j9zheVnUybo+19nIKGTbfcC/AfUBOINxae9CNcXekGwuVabVnBPGzKjt16kTOnDkByJYtG126dEnS767q1asnKVQCtGzZks6dOxMTE8OYMWPcel6JEiUYPXp0QqESoEKFCnTt2hWAH3/8Mcn9w4YNA+Dzzz9PUqgEqFOnDq+//jrXr19n0qRJLr3/mTNnAChUqJBbuSGuIDlhwgQgrogbX6gEyJEjBxMnTsTf35+NGzeyYcMGt5+fmtGjRycUKiHud/vmm28CyX9mroifXRk/gzKxcePGAfD888/fTFQRERERERG5Q52dNJmz48eTp0N7igwfpkJlBpLqzEpr7fRE19M8/N5PO2n73RjzhLV2V6K20o7vR1N51l/EFSpLJ2pzdVziexNfp7YPp7Nxt4UnZyhC3B6VR538hEqWhDVrPPtennD16lW++ipuMmv80u94PXr0YMyYMcybN48xY8bg7+/v7BEpii923qhr167MmDGDNW7+QBo2bEiOHDmStZcvXx6AEydOJLSdPXuWTZs2kTt3bpo0aeL0efEz/zw5kzElW7duJSoqiqJFi/LII48k6y9YsCAtW7Zk9uzZrFmzJskM0Vvh6+tLs2bNkrU7+5m5ql27dhQrVozly5dz6NAhypQpA8Dx48dZuHAhAQEBCQVkERERERERufuFT5/OmU8+IfdjjxE0fDgmS4bfJTFTcfm3YYypb4xJtk7S0V7PjffcAQwA7ifudPGiwGPATkfbSmNMsUT3x1ecLqXyzCjH9wAvjkvCGBNqjNlijNkSP8MtI3rnHXBMTkyQM2dce0b03XffER4eTrly5ZIVyB544AGqVKnCpUuXmDt3rtvPLl3aee05/jCYsLAwt54XHBzstD137rgdExIfsnP48GEALly4gK+vb7LDYowx1KxZE/i/GZNpCQwMBOD06dNu5Ya4Qh6k/DMBkhT9PCUoKAhf3+T/hhL/M7t6E1N+fX196dOnD7GxsUycODGhffLkyURHR/P0008TEJDif8oiIiIiIiJyF4mYPZtTI98joEkTir43EuPj4+1IcoNUZ1be4BPgLSftuYFhxO0PmSZr7Y1zAy8BS4wxK4C1xO0f+QrQz41sGY61djIwGaB69eop7vXpbfGTCV99Ff76C4KD4wqVKUwy9Lr4Jd7nz5+nbt26yfrjC3NTp06lV69etzXbjbK48S8zMTExAOTJk4c2bdqkem/BggVdema1atWYOXMmmzc73UHBJZ4+8SylQ27iufMzc0doaCgjRoxg6tSpjBgxgixZsiTsfakl4CIiIiIiIplD5Lfz+Xv4W/g3aECxDz/AOJksI97nzm/lPuJmP95ot6PvllhrrxljRgLfE3dwTbz4WYypbR4QPxvyYqK22z3ujtWlS8YtTiZ27NgxVq5cCcQVJVObMfjzzz/zxx9/cJ8bp3cdOXIk1fbE+zZ6WokSJQDImjWr04NibkaLFi0YNGgQu3btYvv27W6dCB7/WeNnfDoTfzJ34p9L/P6cUVFRTsccdbbnwG0QGBjI448/zowZM5g7dy7Zs2fn5MmThISEcP/993slk4iIiIiIiNw+5xct5uRrr5GrTh2K/fcTTKLzJSRjcWca02UgyEl7MeJO3PaEfYmeGe+I43vJVMaVuOFeT4xzvoY35XGSzqZNm0ZsbCwNGzbEWpviV6dOnQD3D9qZNSvZ4e9J2kNCQm4pf2qKFStGpUqVOHv2rNt7Y6akbNmyPP744wD06dMnzSXUBw8e5OTJk0DcrEx/f3+OHz/u9FCbc+fOsWjRIiDpzyW+cHnw4EGuX7+ebNzSpUtv6rOkJmvWrABER0enel/ig3biD9vp27evx/OIiIiIiIhIxnJh+Q+cGDqUnDVqUHzsGLJky+btSJIKd4qVy4FRxph88Q3GmPzASEefJxRwfE88LWub43sNZwOMMTmB/+d4uT1RV/x1RWNM8lNOkj4z8bh9xBVm8xtj7kk+BICaTsZJOrLWJsw4TOswlPj+mTNnJiyvdsXmzZv55JNPkrQtXbqUL7/8Eh8fH/r1S9+dCUaMGAHAU089xQ8//JCsPyYmhlWrVrFx40aXnzl27FjKlCnDr7/+SsOGDdm1a1eyey5dusTHH39MtWrVOHXqFBB34vdzzz0HwMCBAxOKmBC312afPn2IioqiVq1aSfYOLVmyJPfccw+RkZF89NFHSd7nu+++Y/To0S5nd1V8gXnblJ0AACAASURBVHTv3r2p3le9enVq1arFr7/+ytq1aylatGiaS+5FRERERETkznZx9WqOv/giOSpVosSE8WRxchCuZCzuFCtfAooAR4wx64wx64DDjrYXPZSnk+N74k32fgHOAMVTOMinI5AV2GytTTjpw1p7jLhCp5/jniQchwUVB/52vEf8uGvAMsfLZIujjTFlgNrEzSZd4uoHk1uzZs0aDh06RI4cOWjfvn2q9zZr1ozAwEBOnjzp1ky+AQMG8NJLL1GlShU6d+5M3bp1adGiBdHR0YwcOZKqVave6sdIVevWrfnoo4/4+++/adq0Kffddx+tWrWic+fONGzYkIIFC9KoUSN27Njh8jPz58/P+vXrqVu3Lj///DOVK1emYsWKtG/fnieffJJ69epRoEABXnzxRbJnz07+/PkTxo4YMYKQkBD27NlDuXLlaNWqFY8//jhlypRh3rx5BAcHO52NOnLkSIwxvPLKK1SrVo2OHTtStWpV2rVrx+DBgz3ys0qsbdu2ADRq1IgnnniC3r1707t3b6f3DhgwIOE6NDTU6WE+IiIiIiIicneI2rCB4wMGkr18eUp8NpksuVLb8U8yCpeLldbak0AV4oqWvzm+XgSqWGtPuPIMY0xVY8xjxhifG9p9jTEvEndKOMQd5hP/vjHA+46XE4wxhRKNKwe853jp7PzqkY7vo4wxZRONKwSMd7x8z1p746kf7wEWeNkYUzPROH9gKnE/t/HW2si0PrN4RvyS7jZt2qR5crOvry9PPPFEknGuaNu2LcuXL6dAgQIsWbKE7du3869//YsFCxakS5HNmUGDBrF161Z69epFTEwMK1asYNGiRYSFhVGvXj0+++yzhGXurgoKCmLdunUsWrSIzp07c/nyZf73v/8xf/58Dh06ROPGjZk8eTIHDx5McoJ59uzZ+eGHHxg9ejT3338/q1ev5vvvvyd37twMGTKEbdu2JZwInljHjh357rvvqFWrFnv37mX58uXkzZuXZcuWpVhEvBXvvPMOgwYNwt/fn/nz5zNlyhSmTJni9N7GjRsDcUvHQ0NDPZ5FREREREREMoao9RsIe74vfmXKEPz5Z/ikUUuQjMNYe/sOqjbGtAEWAOHEzXo8TdzS70pAUSAWGGqt/eCGcT6OcS2BC8CPxM2mbAxkB8ZYawfghDFmPNAHuAKsBK4DjYg7xfw7oIOjIHrjuCHAKCAGWAVEAvWBQsCvQENr7T+ufO7q1avbLVu2uHIre/fupUKFCi7dK54REhLC2rVrWb16dbruSyne9+mnn/LCCy/QqVMn5s6d6+046UZ/j4iIiIiISGYWV6h8Hr/SpQme9gW++fKlPUhuK2PMVmttdWd9bq2BNMZUJm5m5f3EzTz8HfjAWrvbxUfsBD4lbs/H+4GHHc8JA74Axllrt944yFob4yh0Pg/0AJoSV0TcStwMx69SekNr7fPGmPVAX+KKjT7E7Us5FZjgZFZl/Lj3jTHxs0drEFcUPQSMBj601qZ+WomIZCgXLlzgww8/BOJmsIqIiIiIiMjdJ2rdesL6OmZUfjFVhco7kMvFSmNMK2A+sI7/29OxLrDdGNPOWrsorWdYaw8DL9xMUEdRcazjy92xXwEpFjRTGfc/4H/ujhORjOODDz5g9+7d/PTTT4SFhdGxY0ceeughb8cSERERERERD4tat46wvv3wu+cegqdOUaHyDuXOzMq3gXestW8mbjTGvOXoS7NYKSJyuy1ZsoS1a9cSGBjIM888k+yUchEREREREbnzRf30U1yhslxZgqeoUHknc6dYeS8w00n7TGCIZ+KI3H5r1qzxdgRJR/r9ioiIiIiI3N2i1q4lrF9//MqVpeTUqfjkzevtSHILXD4NnLjDcKo5aa8GnPJMHBEREREREREREddcXL2asH79yVaunAqVdwl3ZlZ+BkwyxpQFfna01SHuwJ0PUhwlIiIiIiIiIiLiYRdXryZswECy33svwVOn4JMnj7cjiQe4u2dlFHGnY49wtJ0A3iTuhGwREREREREREZF0d3HVasIGDiT7fffFFSpz5/Z2JPEQl4uV1loLfAJ8YowJcLRdTK9gIiIiIiIiIiIiiUVHRHDmv58SOW8e2StWJHjK5ypU3mXcmVmZwFp70RhTzxiTC/jFWhvp4VwiIiIiIiIiIiIA2OvXiZg9hzNjxxJ76RL5nupC4IAB+Pj7ezuaeFiaxUpjTD8gj7X2nURti4Hmjpd/G2MaWWv3plNGERERERERERHJpKI2bODUyJFcO3CQXP/6F4X/8wrZypb1dixJJ66cBt4NOBr/whjTFmgKdAWqA0eA19MjnIiIiIiIiIiIZE7X/vqLY337caxXb+zVaxQfN5YSUz5XofIu58oy8HuA7YleNwcWWmtnARhj/gNMT4dsIiIiIiIiIiKSycReusTZSZMJ/+ILyJqVwEGDyN+9G1n8/LwdTW4DV4qV2YBLiV7XBj5L9PoQUMiToUREREREREREJPO5sGIFp0a8TfTp0+Rp3YrAQS+StbDKTpmJK8XKo0AN4IgxphBQAVifqL8IoAN2RERERERERETkpkRHRHDq7Xe4sGQJ2SpUoPjoT8lRtaq3Y4kXuLJn5XRgnDHmLeAbYK+1dmui/n8Bu9IjnEhqYmNjCQ4OxhhDYGAg169f93Ykjzhy5AjGGEqVKuXtKMmcPn2at956i7p161KoUCGyZs1Knjx5eOCBB+jfvz+bNm3ydkQRERERERG5w1z88UcOtWzFheXLKdi/H6W/nqtCZSbmSrHyA2Ai0JK45eAdb+ivA8z1cC6RNK1YsYJjx44BcPbsWRYuXOjlRHe3qVOnUrp0ad5880127txJ5cqV6dixI/Xq1SMiIoKxY8fy0EMPMXjwYG9HdduwYcMwxjBs2DBvRxEREREREck0YiIjOT54CGF9++EbGEjpb+YR2LcvJmtWb0cTL0pzGbi1NhZ4w/HlrP/G4qXIbTF16lQAihUrxvHjx5k6dSrt27f3cqq709ixY+nfvz9Zs2blww8/pF+/fmTLli3JPRs3buTVV1/lzz//9FJKERERERERuVNcXLWak2++QUxEJAX79qXgs6EYHaAjuLZnZQJjTHbgMeJOCJ9krY00xtwDRFhrw9MjoIgz4eHhfP/99xhjmDNnDiEhISxfvpwTJ05QtGhRb8e7q+zdu5dBgwYBMHfuXNq2bev0vlq1arFy5UrWr1/vtF9EREREREQk5vx5Tr07kvPff0+2++4jeNIkst9/v7djSQbiyjJwAIwxZYF9xC0JfwfI7+jqA7zv+Whyu3y3/Th13ltF6aFLqPPeKr7bftzbkdI0a9Ysrl69SkhICHXr1qVJkybExMQwffr0FMcYYzDGADBt2jSqV69Orly5KFKkCL169eLMmTMAXLlyhTfffJN7772X7NmzExwczKuvvup0T8wzZ87w6aef0qxZM0qXLk327NnJkycPtWrVYty4ccTExKSYZ926dTzyyCPkzp2bgIAA6tSpw4IFC9L87Hv27OHpp5+mRIkSZMuWjYIFC9K8eXOWLVvm9P7u3btjjGHatGn89ttvdOzYkSJFiuDj48N///vfNN9v1KhRXL9+nVatWqVYqIxnjOHhhx++5cwhISEYY1izZk2anyml9gMHDtC5c2cKFy5MtmzZKF++PKNGjSI2NjZZ5uHDhwMwfPjwhD8n8cvCjxw5go+PD/nz5+fy5ctO81y/fp2goCCMMezZsyfVn5GIiIiIiEhmZK9d4/zChRxq2YrzixdT8Pk+lJ73tQqVkozLxUrgv8APQGEg8f+xLwQaeDKU3D7fbT/OK/N3cTzyMhY4HnmZV+bvyvAFy/gl4N27dwegR48eAHzxxRdpjn355Zd59tlnyZ8/P82aNcMYw9SpU2ncuDFRUVE0atSIMWPGULFiRRo2bMi5c+d499136du3b7JnLV++nBdeeIE9e/ZQunRp2rZty4MPPsiOHTvo168f7du3x1qbbNzs2bMJCQlh5cqVlC1blpYtWxIdHU27du0YPXp0itkXLlxItWrVmDlzJnny5KF9+/bcf//9LF++nObNm/P666+nOHbDhg3UrFmTbdu2ERISQrNmzciZM2eqPytrLYsWLQKgW7duqd6bHplv1o4dO6hWrRq//vorDRo0oE6dOhw8eJChQ4cycODAJPd269aNKlWqAFClShW6deuW8FW1alVKlSpFy5YtiYiIYPbs2U7f79tvv+Xvv/8mJCSEihUrevzziIiIiIiI3Kmiw8M5O2ECBxo15sSQl/HJl49Sc+cSOGCAln2LU+4sA/8XUMtaGxM/O83hL0Drbm+T4Yv28PuJCx573va/IrkWk3Sm2eXrMQz55jdmb/rLI+9xf9HcvNnScwWc7du3s2PHDgICAujQoQMArVq1In/+/Pz555+sW7fO6ey+eNOnT2fHjh1UqFABgIiICGrXrs1vv/1G7dq1yZs3L4cPHyZPnjxAXOGrRo0afP7557z66quULFky4VnVqlVj48aNPPTQQ0ne4+TJkzRv3pzvv/+er7/+mscffzyh78SJE4SGhhIbG8uECRN47rnnEvrmzp1L586dneb++++/6dq1K1evXuWjjz5KWJoNsGbNGlq0aMHbb79N3bp1adq0abLx8fnfeustsmRx7d8pDh8+THh43A4PNWrUcGmMJzPfrE8//ZQ333yTN954I+Gz/vTTTzRo0IDx48czZMgQSpQoAcTNsh02bBg7d+6kTZs2Tg/Z6d+/P99//z0TJkygZ8+eyfrHjx8P4LSgLSIiIiIikhld2beP8BkzubB4MfbaNXLVqUPQ2yPI9fDDGBf/n1QyJ3f/dDg7jikYOO+BLOIFNxYq02rPCOJnVXbq1ClhZmC2bNno0qVLkv6UvPXWWwmFSoB8+fIlFAx///13Jk+enFCoBKhatSrNmzfHWsvatWuTPKtChQrJCpUAQUFBvP9+3O4I33zzTZK+KVOmEBUVRf369ZMUKgEef/xx2rRp4zT3Z599xoULF6hTp06Soh/ELZvu378/AB9++KHT8eXLl2f48OEuFyqBhKXxAIUKFXJ5nKcy36waNWrw5ptvJvms9erVo2nTpsTGxrJ69Wq3nteoUSPuv/9+tmzZwqZNm5L07dq1i3Xr1lG0aNEUf3ciIiIiIiKZgY2J4cIPP3C069McbtOWC8uWkaddW8osWUzwlM/xr19fhUpJkzszK38ABgG9HK+tMSY3MBxY4ulg4pwnZygC1HlvFccjk+/DVyxvDuY+W9uj7+UJV69e5auvvgL+b+l3vB49ejBmzBjmzZvHmDFj8Pf3d/qMZs2aJWsrW7YsACVLlkxSyIxXrlw5IG5W5I2io6NZtWoVv/zyC3///TdXrlzBWsvFixcB2L9/f5L74wueTz31lNN8Xbt2Zf78+cna48eltBy7Z8+ejBo1ivXr1xMTE4OPj0+S/tatWydrS2+3mvlmNW/enBtmgANxBdtly5Y5/T2mpV+/fjz//POMHz+emjVrJrTHz6oMDQ3F19etM8tERERERETuCtEREZyfv4CIr77i+vHj+BYNotDgl8jboQM+iSYDibjCnf+zfhFYZYz5A8gOzAXKAqeATumQTW6DwU3v45X5u7h8/f8OgsmR1YfBTe/zYqqUfffdd4SHh1OuXDnq1KmTpO+BBx6gSpUq7Ny5k7lz59KrVy+nzyhevHiytvjCprO+xP1XrlxJ0r5//37atGnD3r17U8x84ULSZfthYWEAlC5d2un9pUqVctp+/PjxNMdlyZKFK1eucO7cuWQzIRMvX3dVYGBgwvXp06cTlk676lYz36zg4GCn7blz5waS/x5d8fTTT/PKK68wd+5cPv74Y/Lnz8+FCxf48ssvyZo1K6GhobeUWURERERE5E5zedcuIr6azYWlS7FXr5KjejUKDRlCQKOGGE3mkJvk8txba+1xoCowCpgEbAGGAA9aa8+kNlYyrjYPFGNku0oUy5sDQ9yMypHtKtHmgWLejuZU/BLv8+fPU7du3WRfp0+fTnKfM6ktg3ZniTRAhw4d2Lt3L61atWL9+vWcO3eO6OhorLX88ccfAE4P2LkVzmYMuiJHjhxujylVqhT58+cHYPPmzTf1vnDzmVNy44neN3L39+iKXLly0bNnT65cuZLw52vGjBlERUXRpk0bgoKCPP6eIiIiIiIiGU3s5ctEfjufwx06cqRjJy4sX06etm0o/f13lPryS3I3baJCpdwSl/70GGOyAseARtbaqUDqmwLKHaXNA8UybHEysWPHjrFy5UogbpZffGHSmZ9//pk//viD++5Lvxmi+/btY9euXRQqVIj58+cnW8J84MABp+OKFSvGH3/8wZEjR5z2p9RerFgx9u3bx6FDh2jUqJHTcbGxsWTPnj2hwHirsmTJwmOPPcaMGTOYPn067dq1c2v8zWb2c5wIFxUV5fS5R48edSuHp/Tt25dPP/2UiRMnMmjQICZMmJDQLiIiIiIicje7duQIEXPmErlgAbHnz+NX9h4Kv/4aeVq3xieFbdhEboZL04+stdeB64Bnp4iJuGHatGnExsbSsGFDrLUpfnXqFLcrQVoH7dyq+FOyixYt6nSvxVmzZjkdV79+/VT70xo3Y8YMp/1ffPEFAHXr1vXo3olDhgzB19eXhQsXsmDBglTvtdayfv36hNc3m7lYsbji+b59+5KNOXXqFNu2bXPvQ6QhvjgaHR2d6n333HMPjz76KAcPHuQ///kPv//+OxUrVkz4nCIiIiIiInebq3/+yV+9n+Fgs0cJ//JL/Ov8i5IzZ1Bm0SLyd+miQqV4nDtrJccArxhjNJdXbjtrLdOmTQPiDqBJTXz/zJkziYmJSfXeW1GuXDmyZMnC7t27+emnn5L0ffHFF8yePdvpuF69epErVy5Wr17NZ599lqTvm2++cXq4DsAzzzxDQEAA69evZ/To0Un6fvrpJ8aMGQPAiy++eLMfyamKFSsmnNb9xBNP8PHHH3P16tVk923dupWmTZsmOdn7ZjPHz8IcN24cJ0+eTGgPDw+nW7duKc64vFnxxdHU9h6NF3+C+ahRowB4/vnnPZpFREREREQkI7AxMZz7/HMOt2vPlT17CBw4gHKrV1Hs44/JWaOGx7f7EonnTrHyYaA1cNwY86MxZmHir3TKJwLAmjVrOHToEDly5KB9+/ap3tusWTMCAwM5efIkS5cuTbdMgYGBPP/880RHR9OgQQMaNmxI586dqVSpEj179mTo0KFOxxUrVoyJEyeSJUsWQkNDqVatGp07d6ZWrVp07NiRgQMHOh1XpEgRZs6cSbZs2Rg4cCCVK1emc+fOhISE0KBBAy5dusRrr73m9LTzWzVw4EAmTZqEj48PL774IoGBgTzyyCN06dKFVq1aUbp0aapXr86KFSsoX778LWfu1KkTDzzwAEeOHKFixYq0bNmSpk2bUrZsWcLCwmjTpo1HP1/Tpk3JmTMn8+fPp169evTo0YPevXuzcGHyv9qaNGmSsL1AQEBAmsVzERERERGRO821I0c4+lRXTn/4Ef4h9SmzeBEF+/TBN9EhrCLpxZ1i5VngW2Ap8Bdw7oYvkXQTv6S7TZs2BAQEpHqvr68vTzzxRJJx6eXTTz9l8uTJVKlShU2bNrFs2TIKFy7MsmXLUj0d+qmnnuLHH3+kUaNG7N+/n0WLFmGMYd68eQwYMCDFca1bt2bLli089dRTnDt3jm+++YZdu3bRpEkTlixZwogRI9LjYwIQGhrK4cOHGTZsGJUqVWLHjh18/fXXrF27lrx58zJgwAC2bt3Ke++9d8uZ/fz8WLlyJX369CFHjhwsX76cffv20a1bN37++Wfy5Mnj0c9WpEgRFi9eTEhICL/99hvTp09nypQpTpebG2No3LgxEHdCeFp/HkVERERERO4UNjaW8C9ncahNW64eOEDR90dRbPRofAsU8HY0yUSMp08qluSqV69ut2zZ4tK9e/fupUKFCumcSERu1rVr1wgODubUqVPs2bOH+++/39uRktHfIyIiIiIi4q7rx49z4tXX+GfjRnLVrUvQ2yPIWqSIt2PJXcoYs9VaW91Zn/afFBFxw7hx4zh16hTNmjXLkIVKERERERERd1hrOT9/PqfeHQnWUuSt4eTt2FF7UorXuFWsNMb0AJ4EggG/xH3W2jIezCUikmH88ccffPDBB5w4cYLly5eTNWvWZMvdRURERERE7jTRZ89y8tXXiFq7lpw1ahA08l38ihf3dizJ5FwuVhpjBgOvAJOAesB4oKzj+sNUhoqI3NFOnjzJlClTyJYtG1WqVOHtt9+mSpUq3o4lIiIiIiJy06LDwznarTvXw8Io/MpQ8nXtisniztEmIunDnZmVzwCh1tpvjDH9gLHW2kPGmNeBkukTT0TE+0JCQtD+viIiIiIicreIOX+ev3r24vrx45T4bDK5atb0diSRBO6UzIsDmxzXl4HcjuvZQHtPhhIREREREREREc+LiYrir2dCuXbwIMXHjlWhUjIcd4qVfwMFHddHgdqO67KAphyJiIiIiIiIiGRgsZcvc+y557iyZw/F/vsJ/nXreDuSSDLuFCtXAa0c11OAj40xq4G5wHxPBxMREREREREREc+IvXaNsH79ubx1G0XfH0VAo0bejiTilDt7VobiKG5aaycaYyKAOsC3xB26IyIiIiIiIiIiGYy9fp3jL/ybSxs2EPTOO+Rp0cLbkURS5HKx0lobC8Qmej2XuFmVIiIiIiIiIiKSAdmYGE68/DJRq1ZR+PXXyNu+nbcjiaQqzWXgxpj/Z4xZZIzJ7aQvj6OvQvrEExERERERERGRm2FjYzn52utcWLqMQoNfIn+XLt6OJJImV/asfBH4zVp74cYOa+15YDsw2NPBRERERERERETk5lhrOfX225xfsICCfftSoFcvb0cScYkrxcr4fSlTsgB42DNxRERERERERETkVtiYGE6NHEnEV7PJ37MnBfv19XYkEZe5smdlMHAulf5woLhn4oiIiIiIiIiIyM2KjojgxEuDubRhA/m6dqXQ4Jcwxng7lojLXClWRgD3AEdT6C8HRHoskYiIiIiIiIiIuO3ynj0cHzCQ6NOnKfLWcPJ16uTtSCJuc2UZ+FrghVT6XwB+8kwcEdctXbqUrl27UrZsWfz9/cmWLRvFixenRYsWTJw4kYsXL3rkfYwx+leo22DXrl0MGDCAypUrky9fPrJmzUrBggV5+OGHGT58OEePpvTvJSIiIiIiIhK54DuOdu6CjYmh5KwvVaiUO5ax1qZ+gzFVgY3AMuA9YJ+jqwIwFGgG1LbWbk/HnHe06tWr2y1btrh07969e6lQQYerp+b06dN06tSJtWvXAlChQgXKly+Pn58fYWFhbN68mWvXrlGwYEG2bNlCyZIlb+n94guVaf23Ijfn+vXr/Pvf/2b8+PFYawkKCuLBBx8kd+7cnD17ls2bNxMZGYmfnx9z5syhbdu23o7slpCQENauXcvq1asJCQm5Le+pv0dERERERDKe2MuXwVqy5Mzp0efaa9c49d57RHw1m5wPPUSxjz/Ct0ABj76HiKcZY7Zaa6s760tzGbi1docxpgMwFfj5hu5zQCcVKuV2iYyMpE6dOhw4cIDatWszceJEKleunOSeixcvMmHCBN555x0iIiJuuVgp/5+9+w7LsmwfOP69QB42uHEiIiWOSkPUcpJmmKLm3lqWZa5sOH6Vr017tSzNlWZq7sydpb6mNNyrcqYojtwKTjacvz+AJ5D1YCCp5+c4ngOe677Ged8gyuk18le3bt1YvHgxpUuXZurUqbRq1Srd9YSEBJYtW8b//d//6exKpZRSSiml8kjMwYPEnz2LS2Ag9u7uBR3OPS0pOprI+fO5PG06WBwo88EHuDVsmCd9x5+/wOnBg4n+7TeKPvccJV8dgilky45/Sv172fQdLCLfGWMqkDyL0g8wwGFgnYhE5WN8SqUzYMAAwsLCqF27Nhs2bMDJySlDHXd3d4YOHUrbtm1xdXUtgCiVrb788ksWL15M4cKF2bRpExUrVsxQp1ChQnTo0IHmzZtz5MiRAohSKaWUUkqpe4ckJnJpylQuTZ4MSUlgb49zjRq41nsct/r1capWDWNvX9Bh3hMkLo7Ib7/l8pSpJFy8iGv9+iScP8epvi9SpGsXSr7xBnbOzrfdf9TOnfz1yhCSoqIo++k4PJo3z8PolSo4tuxZCYCIRIvIMhEZKyJjRGS5JirvEfPmgY8P2Nklf5w3r6AjytTRo0dZsGABAFOnTs00UZmWn58fpUuXtr6/ePEi48ePJzg4mIoVK+Lk5ISnpyd169Zl0qRJJCYm5iqeAwcOMHLkSB5//HHKlCmDxWKhRIkSPP3006xZsyZD/eHDh2OMYciQIVn2+d1332GMoVatjDOhDx48SJ8+fayxFylShKZNm7Jy5cpM+/Lx8cEYw/Hjx1m+fDlBQUEUKVIEYwy//fYbACdOnGD06NEEBQVRvnx5HB0dKVq0KEFBQcyfPz/LONetW0eLFi0oWbIkDg4OFC1aFH9/f5577jl2796d06MDkpfVf/jhhwCMHDky00RlWm5ubtSsWTND+erVq2nevDnFixfHYrFQvnx5evXqxcGDBzPtJ6c9SNM+t6zK//e//9GkSRM8PT1xcXGhbt26Gb4OoaGhGGOs2xUEBQVZxzbGEBoaypw5czDGEBwcnGU8e/fuxRhD2bJlSUhIyLKeUkoppZRSOYk/e5aTvXpzaeJEPFq2wHvmVxR7/nkkJoZLn0/keMdOHHm8Hn8NGcKVJUuIP3euoEO+K0liIleWLedo86c5/+57OHh7U2HuHLy/nI7Pt99StFcvIucvILxtO6L37c99/3FxXJ41ixO9n8Xe1ZWKixZqolLdW0TE5hdQB/g/4DNgQtpXbvq5314BAQFiqwMHDthcN0/MnSvi4iICMzgacgAAIABJREFUf79cXJLL/2U+++wzAeShhx66rfZz5swRQMqVKydBQUHSuXNnady4sTg6OgogrVu3lqSkpAztAEn+o5Jenz59BJAqVapIcHCwdOzYUWrVqmWt/8knn6Srf/DgQQGkZMmSEh8fn2mM7du3F0A+//zzdOULFiwQi8UigFSrVk3atWsnDRs2tJa9/fbbGfqqUKGCADJgwAABpHbt2tKlSxepX7++/P777yIi8t577wkglSpVkqZNm0qnTp2kXr16Ym9vL4AMHDgwQ78zZ84UQOzs7OSxxx6Tzp07S8uWLeWRRx4RY4yMHj066y9CGr/99psAYoyRS5cu2dTmVsOHD7fG0rBhQ+nSpYtUq1ZNAHFycpLvvvsuQ5usvp6pUp9beHh4puVvvfWWGGOkdu3a0rlzZ6lZs6b1PhYvXmytf/DgQenVq5d4eXkJIE899ZT06tXL+jp48KDExMRIyZIlxRgjYWFhmcbz4osvCiCjRo2y+bnc8Z8jSimllFLqX+/a//4nf9auIwdrPipXli/PcD3+8mW5suo7OT18hByu30AOVPaXA5X9JbxzF0m8caMAIr77JCUmytUf1kjY0y3kQGV/OfZMW7n+88+Z/p55Y/NmOdywkRyoVl0uTpkiSVn8jphWzLFjcm7MGPnz8XpyoLK/nOz3siRcu5Yft6JUvgN2ShZ5tBwP2ElljHkdGAOEAWdSfuFPk/OUJ3KXJr1/5OkBO6+8Aimz4vLE1q0QG5ux3NER6tbNmzFq1IDPPvvH3fTs2ZM5c+bw3HPPMWPGjFy3P3jwINeuXaNOnTrpys+ePcvTTz/Nb7/9xsKFC+nUqVO661kdsPPTTz9RoUIFfHx80pVv27aNZs2aER0dzbFjxyhXrpz12mOPPcbWrVtZsWJFhr0ZIyMjKV26NCLC2bNnKVq0KAB//PEHgYGBWCwWvvnmG5qn+R+z/fv307x5c06dOsWGDRsICgqyXvPx8eHEiRMUKlSI5cuX06JFiwzPZMeOHbi4uFCtWrV05UeOHKFJkyacOnWKrVu3pntmvr6+hIeHs2nTJh5//PF07f766y+uXbtG1apVM4x1q6+++oo+ffrg6+vL0aNHc6x/q++//54WLVrg6urK999/T8M0e76MHTuWoUOH4unpyeHDhylZsqT1Wk4HJqU+t/Dw8HRf29Ryi8XCihUr0s2GfP/993n77bfx8/PLsFQ9pwN23n77bd5//31ee+01Pv7443TXrl27RtmyZYmNjeXEiRPpZgpnRw/YUUoppZRSqZJiYrgwZgyR8xfgVLUqZcd9guWW32FuJSLEHjnCjQ0bufjZZxTv358SAwfcmYDvUjd+3cTFceOIOXAAS6VKlBg0CPdmT2a7qivx6lXOvfMu177/HueaNSkz5r9YypdPVycpNpbr69Zx5ZvFRO3YAfb2uAU1pkiHDrg2aICxs3nBrFL/KtkdsJOb7+rBwCAReVBEGotIUJqXJirvVpklKrMrL0AXL14ESJd4yo0qVapkSFQClC5dmjFjxgDw7bff2txfo0aNMiQqAerUqcOAAQOIj49nxYoV6a717t0bgFmzZmVot2DBAmJjYwkJCbEmKgE++OAD4uLiGDNmTLpEJUC1atUYN24cABMnTsw0zmeffTbTRCVAYGBghkQlwAMPPMDbb78NZHwm58+fp3DhwhkSlQDlypWzKVEJ//zr+cknnwAwePDgdIlKgDfeeIO6dety9epVpk+fflv9Z2XgwIEZlm2nJkbDwsI4efJkrvp76aWXKFSoEDNnziQmJibdtdmzZ3Pjxg3atGljc6JSKaWUUkqpVLFhYRzv2InI+Qso2rs3PgsX5JiohOT/4Hd68EGKv/Qi7s2DuTxzJvEXLuR/wHehxBs3OfN/b3Lq+edJvHqV0h+NxnflCjyeapZtohLA3tOTsuM+oczYscSGhRHeug1XlixBRIj58zDnPviQIw0bceaNocSfO0eJIUPw27iB8hMn4taokSYq1T0rN0dEeQDf51cgykZ5MEMxHR8fyOyE5QoVIDQ0b8f6F0hISGDDhg1s2bKFc+fOERMTg4hw/fp1AA4fPpyr/q5fv87q1av57bffiIiIIC4uDsA6u+7W/jp37swrr7zC6tWruXz5MsWKFbNemz17NvB3QhMgKSmJNWvWYIyhffv2mcbQqFEjALZs2ZLp9bZt22Z7DzExMaxdu5YdO3Zw8eJFYlMS1WfPns30HmrXrk1oaCg9e/ZkyJAh1KhRI8e/hPNaQkICmzZtAtI/r7SeffZZtm7dSmhoKG+++Waejd2yZcsMZRaLBV9fX/bs2cOZM2fw9va2ub+yZcvStm1bvvnmGxYuXJjufqZMmQJA//79/3HcSimllFLq/iEiXFm8mPMfjsbOxYXy07647dOnSw4ZwvX1P3Jp4iRKv/tOHkd6d4vavZszQ4cRf+YMxV58kRL9X8ZYLLnuxzOkJS4Bj3Jm+AjOvvkWlyZPIf70aYyDA+5PPknhjh1wqV1bk5PqvpGbZOUCkk8Dn5xPsaiC8MEH0LcvRKU5K8nFJbn8X6ZEiRIAXLjN/9E7fPgwbdq0yfLgFUhedmurFStW8NxzzxEREWFzf56enjzzzDMsWLCA+fPnM3DgQAAOHTrE9u3bKVWqVLpZe5cvX7b2kdMMxNSZireqUKFClm22bNlCx44d+euvv2y+h8mTJ9OyZUvmzJnDnDlz8PT0pHbt2jRt2pSePXtSqlSpbONM9U++npcvXyY2NhY7O7ss78/X1xeA06dP57r/7GSViPTw8ADIMDvSFoMGDeKbb75h8uTJ1mTlxo0bOXjwINWqVbMmpJVSSimllMqJiHBm2DCurVyF6+OPUfqjj3C4zdVMABZvb4p06Uzk3HkU7dUTx0qV8jDau5PEx3Nx0iQuT5uOQ5kyVJg7B5dHH/1HfTqUKYP3rJlEzP6aGxs2UKRHdzxbt6ZQkSJ5FLVSd49sk5XGmFfTvD0FvGOMqQf8AcSnrSsi4/I+PJXvunVL/vjmm3DyJHh7JycqU8v/RQICApgzZw47duy4rfbt27fn4MGDtGrViqFDh1KlShU8PT2xt7fn8OHDVK5cOct9DG/1119/0aVLF6KjoxkxYgRdunTBx8cHV1dX7OzsmDZtGi+++GKm/fXu3ZsFCxYwa9Ysa7IydVZlt27dKFTo7z+WqSeU29vb071799u6b2dn50zLo6KieOaZZzh//jx9+vShX79++Pn54e7ujp2dHevWreOpp57KcA9VqlTh0KFDrF27lg0bNrBp0yY2btzI//73P9555x2WLFmS7enWqQICAgAIDw/PMMs0N/J6VmdSUlK21+3y4X8z69WrR82aNdmxYwe7du0iICCASZMmAfDyyy/n+XhKKaWUUureFXfsGNdWrqJor56UHDYsT2bjFe/Xj6tLl3Hh408oP+X+nr8Ue+wYZ94YSsz+/Xi2bYvX/43A3s0tT/o2dnYUe7Y3xZ7tnSf9KXW3ymlm5cBb3t8AHk95pSWAJivvVt26/SuTk7dq0aIFr776Knv37mXPnj3UrFnT5raHDh1i7969lCxZkqVLl2Jvb5/uelhYWK5i+e6774iOjqZdu3Z8+OGHGa5n11/Tpk0pV64cu3fvZu/evVSrVo05c+YAGZc0Fy9eHGdnZ6Kjo5k4cSJuefSXIMDPP//M+fPnCQgI4Msvv8zVPTg4ONCyZUvrkujIyEjeeecdxo8fT58+fWyazfjwww/j4+PD8ePH+frrrxkyZIjNsRcrVgxHR0diY2M5fvw4DzzwQIY6x44dA5KXWd8ae3x8PDdu3MjwPOPj463L3++0gQMH8txzzzFp0iTef/99VqxYgbu7Oz169CiQeJRSSiml1N3p5rZtABTp1i3Plg0XKlKEYn37cnHcOG5u345r7dp50u/dRESInD+fC2M/xs7JibITxuPRrFlBh6XUPSnbn1wiUtHGl++dCljdv/z8/Kwndffr18+6t2JWjh49ak08pS7VLlOmTIZEJcC8efNyFUtqf+VvOakNIDY2liVLlmTZ1s7Ojp49ewLJMyrXr1/P6dOnCQgIoHr16unqFipUiKZNmwK5O/zHFtndA8D8+fNt7qtIkSKMHTsWOzs7zpw5k+WS9LSMMYwYMQKAd999l/Dw8Gzr37hxgz179gDJz6VevXoAfP3115nWTz3E6NYTuFOTl4cOHcrQZt26dSQkJOQYe25YUvasyanfLl26UKxYMRYuXMhHH31EQkICPXv2xN3dPU/jUUoppZRS97aordsoVKY0Dln8O/92Fe3Zg0KlSnFh7MdIDquR7jXxFy5wqu+LnH/vfVwCA6m4coUmKpXKRzb/N4sxZqQxxiWTcmdjzMi8DUupzE2cOBFfX1+2bdvGE088wd69ezPUuXnzJuPGjSMgIIDz588Dyadb29nZsW/fPn7++ed09WfOnMmCBQtyFYe/vz8AS5YssY4BEBcXx8CBA62z+rKSOoNy3rx5zJgxI13ZrUaOHImDgwODBw9m4cKFGZZliwjbt29n3bp1t3UPGzZsSJe4S0pK4t1337UeYJNWVFQU48aNyzQZuXr1apKSkvDw8KBw4cI2xfDCCy/wzDPPcOXKFerXr8+qVasy1ElMTGTZsmUEBATw008/WctffTV5l4rPPvssQ6zjxo1jy5YteHp68vzzz6e71qRJEyA5QZp6IBLA/v37rcvy81JqcjS7vVIBnJyceOGFF4iOjubzzz8HdAm4UkoppZTKHUlKImr7dlxr18nz7ZLsnJwoMXgwMXv3cn3Nmjzt+98kITKSqD17uLJsORc+/Yy/Br9CeEgronbswGvk25Sf9sU/2gNUKWUDEbHpBSQCJTMpLwYk2trP/fgKCAgQWx04cMDmuverM2fOSP369YXk7QekatWq0rZtW+ncubM0aNBAHB0dBRAvLy85ceKEtd2AAQMEEDs7OwkKCpIuXbpI9erVBZARI0YIIBUqVMgwXuo4acXHx0vNmjUFEHd3dwkJCZEOHTpImTJlxNXVVQYNGiSA9OrVK8v7ePzxx619WywWuXz5cpZ1FyxYIM7OztYYmzdvLt26dZNmzZpJyZIlBZBhw4ala1OhQgUBJDw8PMt+W7ZsKYA4OjpKcHCwdOrUSXx9faVQoUIydOhQAaRRo0bW+pGRkQKIvb291KhRQzp06CCdOnWSWrVqCSDGGJkyZUqW42UmLi5OXnrpJTHGCCBlypSRkJAQ6dq1qzz11FNSpEgRa4zLly9P13bYsGHWr2mjRo3SfU2dnJxk1apVGcYLCwsTDw8PAcTHx0fatWsn9erVE4vFIt27d8/yueX0PBs1aiSAbNy4MV35ihUrrPGHhIRInz59pE+fPnLo0KEMfZw8eVLs7e0FkMaNG+fqOaalP0eUUkoppe5P0YcOyYHK/hK5dFm+9J+UkCBHW7eRI02aSmJsbL6McSfFHD0qFydPltNDh8qxjh3lUO06cqCy/9+vatUl7KlgOTVwkMQcPVrQ4Sp1TwF2SlY5yKwuZKgISUCJTMqbAhdt7ed+fGmyMn+sWrVKunbtKhUrVhQXFxexWCxStmxZadGihUybNk1u3LiRrn5iYqJMmzZNatasKa6urlK4cGFp0qSJ/PDDDxIeHp6rZKWIyLVr12To0KHy4IMPiqOjo5QqVUo6d+4shw4dkpkzZ+aYrJw+fbq173bt2uV4v2FhYTJo0CCpUqWKuLi4iIuLi/j6+kqzZs1k/Pjxcvr06XT1bUlWxsbGykcffSTVqlUTJycnKV68uISEhMjWrVtl48aNGZKV8fHxMmXKFOnUqZNUrlxZPDw8xNnZWfz8/KRr166ydevWHO8jK7/99psMGDBAqlevLp6enlKoUCEpVqyYNGjQQN5//305depUpu1WrVolTz31lBQtWlQcHBykbNmy0qNHD9m/f3+WY+3du1datWolhQsXFicnJ6levbqMHz9ekpKS8jxZKSIyefJkeeSRR6wJ56zqiYhUq1ZNAFm8eHGW8edEf44opZRSSt2fLs+eLQcq+0vcLb8b5KXrv/wqByr7y+VZs/JtjDvh6rp1crBGTTlQ2V8ONw6S4717y5lRo+TSzJlybeNGiQ0Pl6S4uIIOU6l7VnbJSpN8PWvGmOspv1y7AlEpn6eyB5yAqSLSP4dJnPetWrVqyc6dO22qe/DgQapUqZLPESml/o1+//13atSoQZkyZThx4kS6k+FzQ3+OKKWUUkrdn071H0Ds4cP4/S93W0Tl1sk+zxOzbx+V/rcOew+PfB0rr4kIl7/4goufjcfp4Ycp9/kEHLy8Cjospe47xphdIlIrs2u2/CY8ADDAV8CbwNU01+KA4yKy5R9HqZRS97mRI5O3/x00aNBtJyqVUkoppdT9SRITidqxA/dmT+b7WCVff43wtu249MUXeL3xRr6Pl1eSYmI4+39vcu377/EICaH0++9h5+hY0GEppW6R42/DIjIbwBgTDmwWkfh8j0oppe4TK1euZMWKFezdu5cdO3bg4+PDgAEDCjospZRSSil1l4k5dIika9dwrVMn38dyqlIFz1atiJwzl6Jdu+KQcqjkv1n8+fP81X8AMfv3U+LVVyn2wvN5fgiRUipvZHsauDGmaOoL2Au4py275bpSSqlc2r17N1999RWHDh0iODiYNWvW4OrqWtBhKaWUUkqpu0zU1m0AuNTO/2QlQIlXBgNwYfz4OzLePxG9dy/H23cg7tgxyk2aSPG+L2iiUql/sWyTlcAl4GIOr9Q6SimlcmnUqFGICNeuXeOHH36gcuXKBR2SUkoppZS6C93cvg1LxYo4eJW8I+M5lC5N0V49ubZyFTEHDtyRMW/H1e9Wc6J7D4zFQoUFC3B/4omCDkkplYOcloEH3ZEolFJKKaWUUkopdVskIYHonbvwCGl5R8ct1rcvVxZ/y/mxY/H+6isQISkqiqSbUSTdvJny+U2Som6SdDMK+8KFcXzwAQqVKJHvMxslKYmLEyZweeoXONcKoNyECRQqqotClbobZJusFJGf7lQgSimllFJKKaWUyr2Y/ftJunnzjuxXmZa9uzvFX+7H+Q9H8+ejAUh0tG3tChfGsXJlHB98EMcHH8CpcmUc/fywc3H5xzElXL7MjZ9/4eqKFURt3UrhDu0p9fbbGIvlH/etlLozbuu4WWNMKSDdn3QROZknESmllFJKKaWUUspmN7dtB8Cldu07PnaRzp1JuByBxMZi5+KCnatryivlc5e/PyZcvETs4cPEHjlMzJ+HufLtt38nOI3Bwbs8Tg9WxtG/Mk5VquDk70+h0qWznYUpIsQeOsSN0FBuhP5E9B9/gAiFSpTA6623KNKtq+5PqdRdxuZkpTHGE5gAdOSWRGUK+7wKSimllFJKKaWUUraJ2rYNxwf8KFSs2B0f21gslBzyik11HStVwrXu37M/JSmJ+L/+IubPP5OTmIePEHvoENfXrwcRAOw8PXHy98fJ3x/HKv44VamCQ5kyRO3YmZyg/OknEs6fB8DpoYcoPqA/bo0b41SlCsYup2M6lFL/RrmZWfkx8AjQBlgKPAeUBQYDr+V9aEoppZRSSimllMqOxMURtXs3hdu1K+hQcs3Y2WHx9sbi7Q1PPmktT7p5k5jDh4k9dIiYg4eIOXSIyIULkdjYdO3tXFxwrVcPt8aNcWvYgEIlStzpW1BK5YPcJCubA11E5BdjTCKwS0QWGWPOAi8C3+ZLhEoppZRSSimllMpU9L59SHQ0LnXu/BLw/GLn6opLzZq41KxpLZOEBOJOnCDm4CHi/zqF88MP41yrFna6F6VS95zcJCsLAydSPr8KFAPCgC3Al3kcl1JKKaWUUkoppXJwc+tWMAbXwMCCDiVfmUKFcKxUCcdKlQo6FKVUPsvNBg5HAd+Uzw8CnU3yLrVtgYi8DkwppZRSSimllFLZi9q2HUd/f+wLFy7oUJRSKk/kJlk5C3g45fOPSF76HQeMBf6bt2EppZRSSimllFIqO0mxsUTv2YNrAZwCrpRS+cXmZeAi8mmazzcYY/yBWsAREdmbH8EppZRSSimllFIqc9G//Y7ExeFSp07OlZVS6i6Rm5mV6YjISRFZqolKVVC+//57evTogZ+fH25ubjg6OlKuXDlatGjB1KlTuX79ep6MY4wheceDe8+mTZvo27cvVapUwdPTE4vFQqlSpWjatCmffPIJFy5cKOgQlVJKKaWUUlmI2rYN7OxwCaxV0KEopVSeyVWy0hjzsjFmvzEmyhjjm1I23BjT8XYDMMZ8aIyRlNfr2dTraoz5xRhz1Rhzwxiz0xjT3xiT7T0YY4KNMeuMMREpce8zxrxpjHHMoV0dY8wyY8wFY0yMMeaIMWaMMcbzdu9V5Y0LFy7QuHFjWrRowdy5c7FYLDRr1oxnnnkGHx8f1q9fT79+/fD19eXEiRM5d3gfunHjBh06dKB+/fpMnz6d2NhYGjduTPv27alatSpbtmzh9ddfp1KlSmzbtq2gw801Hx8fjDEcP368oENRSimllFIq39zcvg2natWwd3cv6FCUUirP2LwM3BjzCjCU5P0pP0pz6TQwAPgmt4MbYwJT+hQgy6lrxphJwMtADPAjEA80ASYCTYwx7UUkKZN2qfEmAqFAJNAIeB9oaYxpIiJRmbTrAswB7IFNKfdYF3gDeMYYU09EdMpZAbhy5Qr16tUjLCyMxx57jKlTp/Lwww+nq3P9+nWmTJnCBx98QGRkJBUqVCigaP+d4uLieOqpp9i8eTP+/v5MmzaNBg0apKsTGxvL7Nmz+c9//sPZs2cLKFKllFJKKaVUVpKio4n+/Q+K9epZ0KEopVSeys3MypeAF0RkPJCQpnw3UC23A6fMbJwNnAdWZFOvHcmJynPAwyLSUkSeAR4g+VTyZ4CBmbSrRXJSNQqoJyJNRaQDySea/0xy8vGDTNqVA2aQnDxtIyL1RaQTUAlYBPgBX+T2flXeGDBgAGFhYdSuXZsNGzZkSFQCuLu7M3ToUHbt2oWXl1cBRPnv9u6777J582Z8fHzYtGlThkQlgKOjI3379uW3336jSpUqBRClUkoppZRSKjvRe/ZAfLzuV6mUuufkJllZAdiXSXk84HwbY78LVCE5CXo1m3ojUj4OE5EjqYUich7ol/J2eCbLwYeTnHD8r4hsS9PuBvAskAS8bIwpfEu7V0i+n9kisiJNuwSgL3ANaGOMqWrTXao8c/ToURYsWADA1KlTcXJyyra+n58fpUuXTlcWHx/PxIkTqVOnDh4eHjg7O1OlShWGDx/O5cuXcxVPTntZZrUU+cyZMwwYMAA/Pz+cnJxwcXHB29ub4OBgpk2bliHeOXPm0KVLFypXroy7uzsuLi5UrVqVYcOGERERkauYr127xoQJEwAYN24cRYsWzba+l5cXlStXTlcmIsyZM4fGjRtTpEgRnJycqFSpEv379+fUqVMZ+jh+/DjGGHx8fLIcJ6tnmbZ80aJFPPbYY7i5ueHu7k6TJk349ddf09WfNWsWxhjr8v+KFSta+0j9Wrz33nsYY3jppZeyjGfVqlUYY6itpyoqpZRSSql/qZtbt0GhQrg8+mhBh6KUUnkqN8nKY0BmPwWfBg7kZlBjTB3gNWC+iKzKpl45IACIAxbfel1EfiJ5iXYpkmdKprazAM1T3s7LpN0xYAtgSYk/rTbZtLsGrLqlnrpDvvvuO5KSknjooYeoWbNmrtvHxMTQrFkzBg4cyL59+2jYsCEhISFcuXKF//73vwQEBHDs2LF8iPxvZ8+eJSAggEmTJpGQkEBwcDAhISF4e3uzdetWxo0bl67++fPn6dmzJ2vXrqVYsWI8/fTTNGrUiIsXLzJmzBgCAwO5dOmSzeNv3LiR69evU7hwYVq1apXr+EWE7t2707NnTzZv3kxgYCBt2rRBRJg8eTI1atRgx44due43JyNHjqRr165YLBZatGhBuXLl2LBhA02aNGHLli3Wen5+fvTq1QtXV1cA2rVrR69evawvNzc3+vbti8ViYd68eVy7di3T8SZNmgRA//798/xelFJKKaWUygtR27bhXL06din/9lVKqXuFzXtWAh8DE40xLiTPWHzMGNOD5D0nn7O1E2OME8nLvyOAwTlUT81I7ReR6Czq7ADKptTdnFJWGXABIkTkaDbt6qW0m58SmwfJy71Tr2fVrlua2O6sH4bDubvsAPZSD0Hzj3Kul4Ndu3YBEBgYeFvtR44cSWhoKP7+/qxfv56yZcsCEB0dTY8ePViyZAndunVLl/zKa9OnT+fcuXO8+OKLTJkyJd1swtjY2AyH2Xh6erJy5UqCg4NxcHCwlkdHR9O/f39mzpzJ22+/zZQpU2waP/UZPvroo9jb2+c6/ilTpjB//ny8vLz48ccfqVYteQeIxMREhgwZwueff06HDh34888/cXTM9gyrXJk0aRLbt28nICAAgKSkJF566SWmT5/OyJEj+d///gdA/fr1qV+/PqGhody8eZOPP/440xmdHTt2ZO7cuXz99dcMGDAg3bWwsDDWrVtHsWLF6NSpU57dg1JKKaWUUnkl8cZNovfto9jzzxd0KEopledsnlkpIjOBUcCHJCcC5wAvAINEZFEuxvyA5GTiQBHJaUpYxZSP2R3pfPKWumk/P0nWMmvnk/LxSsosSlvbqTvg4sWLAJQsWTLXbaOjo60JvQkTJlgTlQDOzs5MnToVNzc3tm7dyqZNm/Im4EycP38egODg4AzLnh0dHWnYsGG6Mnd3d0JCQtIlKlNjnjhxIoUKFWLJkiU2j/9PniHAJ598AsB7771nTVQC2Nvb8/HHH+Pt7c2JEyf49ttvb6v/rLzzzjvWRCWAnZ0d7733HgC//PIL8fHxuepv4MDkbW4zS/JOmTIFEeG5557LcasBpZRSSimlCkL07l2QmIhrHd22SCl178nNzEpEZDow3RhTHLDL7YnYxpjHSd7PT6SpAAAgAElEQVQTcrmNCU63lI83s6lzI+WjewG2y8AY05fkPS7x9vbOrmru5MEMxfvRrl27uHHjBmXKlOHJJ5/McL148eKEhISwYMECQkNDqVevXr7EUbt2bSZPnsywYcMAePLJJ61LlrOzZ88efvzxR44fP87NmzcREQAsFgsXL14kMjKSIkWK5EvMqf766y+OHTuGnZ0dPXr0yHDdYrHQrVs3Ro8eTWhoKN26dcuzsVu2bJmhzMvLiyJFihAZGcnly5cpVaqUzf3Vrl2b2rVrs337dkJDQ2ncuDGQnNSeNWsWdnZ29OvXL/tOlFJKKaWUKiA3t23DODjgfBvbYyml1L9drpKVqWyYEZmBMcYZmEXyATUv3864dxMRmQZMA6hVq5YUcDj3hBIlSgBw4UKucuQAnD59Gkg+cCUrvr6+6ermhx49erBu3Trmz5/PM888g729PdWrV6dhw4Z07tyZxx9/PF39Gzdu0K1bN1auXJltv9euXbMpWZkXz7B06dJZzjjMr2eYVcLfw8ODyMhIYmJict3noEGD6N69O5MnT7YmKxcuXEhERAQtWrTI9ntFKaWUUkqpghS1bTvOjzyCnfPtnHWrlFL/bjkuAzfGbDTGbMjpZcNYHwIPAK+KyFkb40udxZjd1LPU2ZDXC7CdugNSlwH/kwNcsju9O68lJSVlKLOzs2PevHns3buX0aNH07x5c06ePMnnn39OvXr16NOnT7r6I0aMYOXKlVStWpWVK1dy5swZ4uLiEBFExHraeepMy5ykPsPdu3eTmJh4W/eV188ws+d0Kzu73JwFZpsOHTrg5eXF8uXLOXs2+UfS5MmTAXj55Xv+/1OUUkoppdRdKvHaNWIOHMClTp2CDkUppfKFLRmAfcD+NK96wF+3lO23oZ9ngCSglzEmNO0LCE6p0y+l7MuU98dTPlbIpt/yt9RN+3l2668za5e6N2bhlMN2bG2n7oAWLVpgZ2fH3r172bNnT67apu5RGR4enmWd1JPA0+5nmZ3UfSRv3LiR4Vp8fLw1AZaZ6tWrM3z4cFatWsWlS5dYtWoV7u7ufPXVV6xbt85ab/HixQAsWrSIkJAQSpcubR335s2bnDt3zqZYUwUFBeHm5saVK1dynK15q9TncubMGWJjYzOtk9kztFgsQObPCeDEiey2pM0/FouFF198kfj4eKZPn8727dvZuXMnvr6+BAcH59yBUkoppZRSBSBq505ISsJF96tUSt2jckxWisjAtC8gDhiVSbmt4zXK5OWVct035X2tlPepGalqKcvIMxN4S12AQ0A0UNQYUyljEwBSf7Jb24nIVSD19PCsjpzO0E7dGX5+ftbTmfv165dlwizV0aNHrQnDgIAA3NzcOH36ND/++GOGupcvX2bVqlUA1iXBOUlNyB06dCjDtXXr1pGQkGBTP3Z2drRs2ZLWrVsD8Pvvv1uvRUREAFC+fPkM7ebPn2/zjMpUHh4e1sNlXnvtNWv/Wblw4QJ//vknAOXKlcPX15ekpCTmzp2boW58fDzz5s0D0j/DEiVKYLFYuHz5svWAn7S+//77XN2DLVITpDl9DV566SUcHByYNm0aEyZMAJK/t/JjJqdSSimllFJ5IWrbNoyjI841ahR0KEoplS/u2G/kIuIjIiazFzA7pdobKWU1UtqcAnYDFqDDrX0aYxoB5YBzwJY0Y8UBP6S8zXDKhzHGF3iM5MTr6lsur8imnQcQkvJ2mQ23rfLYxIkT8fX1Zdu2bTzxxBPs3bs3Q52bN28ybtw4AgICrKdvOzs789JLLwEwePDgdLMeY2Ji6NevHzdu3KBu3bo2H67TpEkTAN59913i4uKs5fv377cmBG/19ddfs3v37gzlly9fZsuW5G/hChX+nkjs7+8P/L08OdXOnTsZMWKETXHe6j//+Q916tQhPDyc+vXr8+uvv2aoExcXx1dffUXNmjU5ePCgtfzVV18F4O23306XpE1MTGTo0KGcPHmSChUq0L59e+s1BwcHGjRoYB07bYL1119/ZeTIkbd1H9lJTSSnjT0zpUuXpl27dpw+fZp58+bh5OTEc889l+fxKKWUUkoplVdubtuOc82a2KX8B71SSt1zUve+s/VF8l6Nvrltl0OfswABXs/kWvuUa2cBvzTlJUlefi7A4EzaBZK87PwmUDtNuRsQmtLu00zalQeigESgVZryQsCClHbLcnN/AQEBYqsDBw7YXPd+debMGalfv76kfC2katWq0rZtW+ncubM0aNBAHB0dBRAvLy85ceKEtV10dLQ0btxYAHF1dZWQkBDp2LGjlC5dWgDx9vaWo0ePZhgvdZxbhYWFiYeHhwDi4+Mj7dq1k3r16onFYpHu3btLhQoVBJDw8HBrm9atWwsgZcuWlRYtWki3bt0kODhYXF1dBZAGDRpIXFyctf7ixYut4z/yyCPSuXNnadiwodjZ2UnXrl0zHcMW165dkzZt2lj79vX1ldatW0uXLl3kiSeeEDc3NwHEw8NDtm3bZm2XlJQkXbp0EUAsFos0a9ZMOnfuLL6+vgJIkSJFZPv27RnG27Rpk1gsFgGkSpUq0r59ewkMDBQ7Ozt56623snzGWZWnyur+x48fL4C4u7tLu3btpE+fPtKnTx+5dOlShj42b95sHad37965eIr/XvpzRCmllFLq3hQfESEHKvvLxSlTCjoUpZT6R4CdklWeMKsLWTa4w8nKlOuTU65HA6uApcDV1MQhYJ9Fu6EpdRKAdcA3wPmUsq2ASxbtuqS0SQJ+BhaSvEelAEeAkrm5P01W5o9Vq1ZJ165dpWLFiuLi4iIWi8WaBJw2bZrcuHEjQ5u4uDiZMGGCBAYGipubmzg6OkrlypVl6NChmSayRLJPmO3du1datWolhQsXFicnJ6levbqMHz9ekpKSMk2k/fzzzzJ48GAJDAwULy8vsVgsUqZMGWnQoIHMmDFDYmJiMoyxceNGCQoKkqJFi4qrq6vUqFFDJkyYIImJibedrEwbT58+feTBBx8Ud3d3cXBwEC8vL2natKl8+umnmT6TpKQk+frrr6VBgwbi6ekpFotFfHx8pF+/fnLy5Mksx/rll1+kSZMm4ubmJi4uLhIYGChz584Vkayf8e0mKxMTE+W9994Tf39/a/I6q+eUkJBgTTrv2LEjy7HuJvpzRCmllFLq3hS5bJkcqOwvN3ftLuhQlFLqH8kuWWmSr2fNGNP2lqI5wOspST8rEVmabUfZjzEL6EXyMvCPs6jTFegPPATYk7wv5VfAFBHJ8jhhY0ww8BrJ+2A6AceA+cDHIpLlpofGmDrACJIPFPIATpGcJP1Akve2tFmtWrVk586dNtU9ePAgVapUyU33Sql/YMWKFbRp04batWuzbdu2gg4nT+jPEaWUUkqpe48kJHCsRUuMoyMVly/D6D7rSqm7mDFml4jUyuxaIRvaf5tJ2aRb3gvJCcTbIiK9gd451JlPcpIxt32vAdbcRrttQJvctlNK3T0SEhJ47733gL/341RKKaWUUurf6OqKlcSdOEG5SRM1UamUuqflmKwUEf0pqJS6p8ycOZOff/6Z7du3c+DAAerUqUPHjh0LOiyllFJKKaUyJXFxXJo0Cafq1XF74omCDkcppfKVJiKVUvedn376iVmzZnH27Fk6duzIsmXLMMYUdFhKKaWUUkpl6sqSJcSfOUOJwYP1361KqXtejslKY0x5Y0y1W8qCjDEbjDHbjTHD8y88pZTKe7NmzUJEiIiIYNGiRZQuXbqgQ1JKKaWUUipTSTExXJoyFeeAAFzr1yvocJRSKt/ZMrNyHNAj9Y0xxpvkE7lLAmeBd40xA/MnPKWUUkoppZRS6v4VuXAhCRcuUGLwIJ1VqZS6L9iSrKwNrE7zvhvJScoaItIa+D/g2XyITSmllFJKKaWUum8l3bzJ5elf4vr4Y7jWrl3Q4Sil1B1hS7KyJHAizfvGwHIRSUh5vxKomMdxKaWUUkoppZRS97WIefNJvHyZEoMGFXQoSil1x9iSrLwCFEvzPhDYmua9YMOp4koppZRSSimllLJN4vXrXJ4xA7dGjXCuUaOgw1FKqTvGlmTlNmCIMaaQMaYL4ApsSHP9QeBUfgSnlFJKKaWUUkrdjyJmzSbp6lWKD9IjIpRS9xdbZkSOBH4EoklObn4oIpFprncGQvM+NKWUUkoppZRS6v6TEBlJxKxZuDdrhnO1agUdjlJK3VE5JitF5A9jTBWgHnBORLbdUmUhcCA/glNKKaWUUkoppe43EV99RVJUFCUGDijoUJRS6o6zaa9JEbkErMji2urMypVSSimllFJKKZU7CRcvEjFnLh4tW+L4wAMFHY5SSt1xOe5ZaYxpbow5bozxyOSaZ8q1J/MnPKWUUkoppZRS6v5xafp0JD6eEv1fLuhQlFKqQNhywM4AYKyIXLv1gohcBf4LvJLXgSmllFJKKaWUUveT+LNnubJgIZ7PtMHi41PQ4SilVIGwJVn5MLA+m+sbgEfyJhylsufj44Mxxvqys7PD3d2d8uXL07RpU0aMGMEff/yR5+OOGjUKYwyjRo2yuU1oaKg1zvLlyxMTE5NpvZ07d2KMwec++sdIbGws06ZNo2XLlpQrVw4nJydcXV154IEH6Nq1K8uWLSMpKamgw1RKKaWUUuqOujT1CwQo0a9fQYeilFIFxpZkZQkgu6yBAMXyJhylbPPUU0/Rq1cvevbsSfPmzfHz82Pnzp189NFHPPLII7Rq1Ypz584VdJhWf/31FxMnTizoMKxSE6mNGze+42Nv376dBx98kBdffJG1a9dSrlw5WrduTXBwMC4uLixYsIC2bdtSp06dOx7bP1WQz1UppZRSSt3d4k6d4sqSJRTp0AGHsmULOhyllCowthyw8xfJsyuPZHH9YeB0nkWklA2GDx+eISGUlJTEqlWrePXVV1m1ahWNGjVi8+bNFCtWsLl0Z2dnoqOjGT16NC+88AKenp4FGk9B2rlzJ40aNSImJobnnnuO0aNHU7JkyXR1Tp48yYcffsg333xTQFEqpZRSSil150XOnYuxs6PYiy8WdChKKVWgbJlZuRp4zxjjfOsFY4wL8G5KHaUKlJ2dHa1bt2bnzp34+flx+PBhXnvttYIOC19fX1q2bElERARjxowp6HAKTHx8PB07diQmJoZBgwYxY8aMDIlKAG9vb6ZOncry5csLIEqllFJKKaUKRvyFCziUK4eDV8Z/Iyul1P3ElmTlB4AncNgYM8wY0zrlNRw4nHLtw/wMUqncKFKkCJ999hkAc+fOzXQ5+OXLl3nrrbd46KGHcHNzw9XVlUcffZRPP/2U+Pj4PI/pww8/xM7Ojs8++yzXy9NPnDjByy+/jK+vL46OjhQpUoSgoCDmz5+faf20+2ueOHGCZ599lnLlylGoUCFeeeUVGjduTFBQEAA//fRTuj1Ab52tKiIsXLiQZs2aUbx4cRwdHfH29uaFF17g+PHjubqPefPmER4eTsmSJW1K2jZs2DBD2aVLlxg2bBj+/v44Ozvj4eFB3bp1mTx5MgkJCdk+i8zMmjULYwy9e/fOsvz69eu88cYbVKxYEUdHR8qWLUu/fv2IiIhI1yan5yoiPPDAAxhj2Lp1a5b33a5dO4wxTJ48OYcnpJRSSiml7iUSF4+xWAo6DKWUKnA5LgMXkQvGmMeBKSQnJU3qJWAt0F9EzudfiErl3tNPP03RokWJiIhg48aNdOnSxXpt7969BAcHc+bMGcqVK0fjxo1JSkpi27ZtvPrqq6xevZrvv/8eSx7+Q+Ghhx6iW7duzJkzh3fffdfmRNTWrVtp3rw5V65coWLFijzzzDNEREQQGhpKaGgoa9asYfbs2RhjMrQ9cuQINWvWxMnJiXr16pGQkEDhwoUJDg7GycmJtWvX4uXlRXBwsLWNv7+/9fP4+Hg6d+7M0qVLcXZ2platWnh5ebFv3z6+/PJLlixZwrp166hVq5ZN97JixQoAOnXqhKOjo01t0goLC+OJJ57g1KlTlCpVipCQEKKioti4cSP9+/dn2bJlfPfdd7fVd1auXr1KvXr1OH36NA0bNqR69er8+uuvTJ06le3bt7N161YcHBwAcnyuxhj69+/PkCFDmDx5MnXr1s0w3unTp1m5ciXu7u706NEjz+5DKaWUUkr9+0lsLMZRk5VKKWXLnpWIyAngaWNMEcCP5ITlERGJzM/gVEb/3f5fDkUcKugwcsW/qD/Dag+7o2MaY3j00UdZv349+/fvt5ZHR0fTunVrzpw5w+jRo3n99dcpVCj5j0FERASdOnVi/fr1fPjhh7k6+dsW7777LosWLeLLL7/ktddeo1KlStnWj4mJoWPHjly5coVXXnmFjz/+GHt7ewD27dtHkyZNmDNnDvXq1ePFTPa1mT9/Pr179+aLL77IkHitW7cua9euxd/fn1mzZmU6/ttvv83SpUtp2LAh8+bNo1y5ctZrEydOZODAgXTu3JlDhw5Zn2F2du3aBUBgYGCOdTPTtWtXTp06RYcOHfj6669xcnIC4NSpUzRt2pT169czatQoRo8efVv9Z2b58uU8/fTTbN68GTc3NwDOnDlD3bp12b17N9988w3dunUDkvdRzem5Pvvss7z11lssXryYTz/9NMN+ql988QUJCQn07NkTd3f3PLsPpZRSSin17ydxcdg5aLJSKaVsWQZuJSKRIrJDRLZrolL92xUvXhxIXvKdatasWYSHh9OxY0eGDx+eLslWtGhRZs+ejYODA5MmTUJE8jQeHx8fXnrpJeLj43nrrbdyrL948WJOnTqFj48PY8aMsSYqAapXr84777wDwMcff5xp+2LFijFhwoTbmiEaERHBhAkTcHNzY/HixekSlQADBgygRYsWHD16lB9++MGmPi9evAiQ6T6VOfnll1/YsWMH7u7uTJ061ZqoBChfvjzjx48HYNKkScTExOS6/6y4ubkxY8YMa6ISoEyZMgwYMACAH3/8MVf9eXp60rNnT2JiYpgxY0a6a/Hx8UyfPh2Al19++R9GrpRSSiml7jbJMyvzbpWQUkrdrXKcDmWMmWBLRyIy6J+Ho3Jyp2co3s2SkpKA5IN3Un3//fcAdOjQIdM2ZcqU4YEHHuDAgQMcOXKEBx98ME9jeuutt5g5cyaLFi1i6NCh1KxZM8u6P/30E5A8ozB1qXFavXv35uWXXyYsLIzTp09TtmzZdNebNm1627PzNm7cSHR0NC1atMgyudioUSNWr17Nli1bCAkJua1xbJX6LEJCQihatGiG68HBwZQuXZqzZ8+ya9cu6tWrlyfjBgQEUKpUqQzlqcvlz5w5k+s+BwwYwJQpU/jiiy94/fXXrd+fS5cu5dy5czRu3JiqVav+s8CVUkoppdRdJyk+Dnvds1IppWyaWfmQjS+l/lUuXboEkC65dezYMSA5WZn2AJS0rwMHDgB/zwTMSyVKlODVV19FRBgxYkS2dU+fPg1AxYoVM73u5OREmTJl0tVNq0KFCrcdZ+pzWr16dZbPaejQoYDtz6lEiRIAXLhwIdfx5PQsIPnU9bR184K3t3em5R4eHgC3NYuzatWqNG3alGPHjrFmzRpreeo+pv3797+NSJVSSiml1N1OYuN0ZqVSSmHbATtBdyIQpfKSiLBnzx4g+XCbVImJiQC0aNHCukw8K7fuJ5hXXnvtNSZPnszatWsJDQ1Nt8Q4M5kdnmMLZ2fn22oHfz+nypUrZ3oQTFp16tSxqc+AgABOnTrFjh07bvvwmNt9FllJnX2blbSzcvPSwIEDWb9+PZMnT+bpp59m3759/Pzzz5QpU4Y2bdrky5hKKaWUUurfTeLiMJaMK6qUUup+Y9MBO9kxxlQE+ohIzpvwKXWHrF69msjISBwcHGjcuLG1vHz58vz555/069ePFi1aFEhs7u7uvPnmm7zyyisMHz6ciRMnZlovdVl36izHW8XExFiXId+6BPyfKl++PJCc6M3qAJ7catWqFcuXL2fRokWMHTs2V6d25/Qs0l5L+yxS9+u8ceNGpm1OnDhhcwx5qWXLllSsWJEffviB48ePW2dV9u3b16bDipRSSiml1L1HYmOx05mVSimVuwN2UhljLMaYLsaY9UAY0C1vw1Lq9kVGRjJkyBAAevbsmW7PxebNmwPJh9cUpH79+uHj48O2bdtYunRppnUaNWoEwIIFC0hISMhwffbs2YgIfn5+uU5WpibxMusXkve7dHBwYP369Vy5ciVXfWelW7duVKhQgQsXLjBsWM57r/7yyy/Wz1OfxapVq4iMzHi219q1azl79ixubm4EBARYy1Ofy6FDhzK0EZF0y7DzQk7PNZWdnR0vv/wySUlJjB07lrlz5+Lg4EDfvn3zNB6llFJKKXX3kLg4jJ4GrpRSuUtWGmMeSjlw5xwwFzgKPCYiWW8kp9QdkpSUxMqVKwkMDCQsLAx/f3/Gjh2brk7fvn0pX748s2fPZtSoUURFRWXoJzw8nLlz5+ZrrBaLxXqad+pJ1rfq0KED5cuXJzw8nBEjRqRbsnzgwAH+85//APD666/nevzUJF5YWFimiTUvLy/69+/PlStXaNWqVabJvps3bzJ//nzOnz9v05gWi4VFixbh6OjI+PHjef755zPdv/L06dMMGDAg3XLoBg0aEBgYyPXr1+nfvz+xsbHp6r/yyitA8uE1aU8KDwoKws7OjjVr1rBp0yZreWJiIm+++Sbbt2+3KXZb5fRc0+rTpw8uLi5MnjyZ69ev06ZNG0qXLp2n8SillFJKqbtHUpzuWamUUmDbaeDuQFfgecAfWAJ0Ar4HxovIgXyNUKlMfPTRR9blyTExMVy8eJHdu3dbZwG2adOGL774giJFiqRr5+bmxurVq2nZsiXvvPMOn3/+OQ8//DBlypTh+vXrHDx4kLCwMOrUqUP37t3z9R66d+/O2LFj2bdvX6bXnZyc+Oabb2jevDkff/wxy5YtIzAwkIiICDZu3Eh8fDw9evS4rdl4FSpUoGbNmuzZs4eHH36YgIAAHB0dqVy5Mm+88QYAY8aM4cyZM3zzzTdUr16dGjVq4OvrizGG48eP8/vvvxMbG8vBgwfx8vKyadw6deqwceNGOnbsyIwZM5g9ezaBgYF4e3uTkJDA0aNH+f333xGRDHtlzp8/n6CgIBYsWEBoaCgNGjQgKiqKjRs3cvPmTZo0acKoUaPStfH29qZfv35MmjSJoKAgGjRogIeHB7t37yYyMpJBgwYxYcKEXD+/rNjyXFMVKVKE7t27M23aNEAP1lFKKaWUut8l71mpMyuVUsqWzdFOA1uA8cBSEYmCvD/oQqncWLt2LZD8fejq6krhwoUJCAigdu3adO3alerVq2fZ9qGHHuKPP/5g8uTJrFixgt27d7N582ZKlChB+fLl6dKlC+3bt8/3e7Czs2P06NGEhIRkWadu3br89ttvfPTRR6xZs4alS5fi7OzMY489Rt++fenatett/1lcunQpw4YN46effmLBggUkJibSqFEja1LNwcGBRYsW0b17d2bMmMH27dv5448/cHd3p3Tp0nTp0oXWrVtTqVKlXI372GOPceTIEWbNmsXKlSv5/fff2bVrF/b29pQtW5auXbvSuXPnDHuK+vn5sWfPHsaMGcOKFStYsWIFDg4OVKtWjZ49e9K3b18cHDJuSD5hwgS8vb356quv+PXXX/Hw8CAoKIj333+fzf/P3p3HVVWtfxz/LBTEeUIjDQeyxLQ0h9RwAM3QNHNuIMf8mYpD3XKqa2XXTE27lVNlFkmD4WxXKyslFaXUBs0h08ShzBwzHBhk/f7gcOLAATmGovh9v17nxTlrr7X3s8/2evPhWWutX39R311OLvS9ZtSmTRvefPNNateu7ZzqLiIiIiLXHnv+PKSkaIMdERHAWGtz7mDMEdKme0cBH1prjzvak4G6qqy8sIYNG9pNmzblqu+OHTuoVavWJY5IRK4EnTt3ZsmSJcycOZNBgwbl2Xn194iIiIjI1SX17Fl+ur0+FZ98gvL9++d3OCIil5wxZrO1tqG7Y7lZs7ISMBW4F/jVGLPMGNMdyDnLKSIi2dq8eTPLli2jfPny9OrVK7/DEREREZF8ZB1rsmsauIhILqaBW2uTgfnAfGNMVaAP8JJj7DhjTCSw0tFPRERy0L9/fxISElixYgWpqak8//zzFC9ePL/DEhEREZF8lJqUBIDx0QY7IiIe7QZurd1nrR0HVAfakVZduRA4cgliExEpcObMmcP8+fPx8/PjpZdeYvDgwfkdkoiIiIjkM+tMVqqyUkQkNxvsZGHTFrr8DPjMGFMBuLTbJouIFBAXWidYRERERK49zmRlESUrRUQuKlmZkbX2CPDfPIhFRERERERE5JqjNStFRP52wWSlMWYrF95Mx1pr6+ZNSCIiIiIiIiLXjvTKSq8iWrNSRCQ3lZULcjhWAegH6G9UERERERERkYugNStFRP6Wm93Ax2VuM8YUBZ4AegI/A6PyPjQRERERERGRgi81UbuBi4ik82jNSmOMF9AfeBZIBoYCUVY7RoiIiIiIiIhcFFVWioj8LdfJSmNMJ2AiaVO/XwSmWWsTL1VgIiIiIiIiItcCm5T2T2sv7QYuIoLXhToYY4KNMeuA94ElwI3W2ilKVIqIiIiIiIj8c6qsFBH5W24qK9cCZ4E3gT+AfsaYLJ2stS/nbWgiIiIiIiIiBV9qYlotkNFu4CIiuUpW7gcs0CmHPhZQslJERERERETEQ6qsFBH5W252A692GeIQERERERERuSZZ7QYuIuJ0wTUrPWWM2WqMCcjr84oAVKtWDWMMMTEx+R1KvnjuuecwxvDcc8/lyflCQkL+0fcZHx/PqFGjaNSoEX5+fnh7e1OuXDkaN27MqFGj2L59e57EKSIiIiJSkKVXVnr5eOdzJCIi+S/Pk5VANUB/w4oUcOPHj+fmm29m8uTJ/PLLLzRs2JAePXrQpEkT4uPjmfG9NRUAACAASURBVDx5MrfeeivTpk3L71A91qdPH4wxREZG5ncoIiIiInINsEmJYAx465/SIiK5WbNSRK4QQ4YM4YEHHsDPzy9f4xgxYgRTpkyhVKlSzJ49m549e+Ll9ffvPqy1fP7554wZM4Y9e/bkY6QiIiIiIlc+m5SE8fHB3Wa2IiLXGiUrRa4ifn5++Z6o/OKLL5gyZQre3t6sXLmSxo0bZ+ljjOHuu+8mNDSUTZs25UOUIiIiIiJXj9TEJO0ELiLicCmmgYtcdhmn7W7bto2uXbtSoUIFSpQoQbNmzVi9erWz7//+9z9atmxJ6dKlKVWqFB07duTnn3/Ocs6YmBiMMYSEhHD69GlGjx5NYGAgRYoUISAggKFDh3Ls2LFsYzpw4ADDhw+nZs2aFC1alFKlShEcHExkZCTW2iz9M64fuWbNGtq3b4+fnx9eXl4sWbIEyH7NyuTkZKKionjwwQepWbMmJUuWpFixYtxyyy2MGjWK48ePX+Q3m9X48eMBGDRokNtEZUbe3t40bdo0S/v69evp2rUr/v7++Pj44O/vT7du3YiLi3N7nvS1SuPj490ez27tzYztmzdvpmPHjpQvXx5fX1/q1q3LnDlzXPrHx8djjOHdd98FoG/fvhhjnK/IyEjWrl2LMYZatWple99Hjx7F19eXokWL5vhnREREREQE/q6sFBERJSulgNm0aRN33HEHu3btonXr1tSsWZPY2FjCwsJYu3Yt06ZN47777sNaS1hYGOXKlePjjz+mRYsW2SaVkpKSaN26NdOnT6dOnTrce++9nDt3junTp9O0aVMOHz6cZczq1au59dZbee2110hNTaVt27Y0btyYLVu20LdvX3r37p3tPcyfP5/Q0FD2799PmzZtaN26Nd4XWLvm8OHD9OrVi88++4zy5ctzzz330LJlS44cOcLkyZNp1KgRR48e9ezLdOPEiROsXbsWIMd7yMmsWbNo3rw5ixYtokqVKnTr1o0qVaqwcOFCgoODmT179j+OM7NPP/2Upk2bsnfvXu6++24aNGjAli1b6N+/P1OnTnX2K1GiBL179+bGG28EIDg4mN69eztfNWrUoHnz5tStW5edO3eyatUqt9d76623SExM5IEHHqB8+fJ5fj8iIiIiUrDYxES8lKwUEQE0Dfyq8/uECSTu2JnfYXikSK0g/J966rJca8aMGUydOpV//etfzrZRo0YxefJk+vfvz++//05MTAzNmzcH4Ny5c9x9992sXbuWmTNnMnbs2Czn3LBhAzfffDM//fQTlStXBuCvv/6ic+fOfPnllwwdOpTo6Ghn/0OHDtG1a1cSEhKIjIykV69ezrVnDhw4QMeOHYmKiqJVq1b06dMny/VmzpzJG2+8wYABA3J936VLl2bZsmW0bdvWJbF59uxZIiIieOeddxg7diyzZs3K9Tnd+e6770hNTcXHx4fbbrvN4/E//PADw4YNAyA6Opru3bs7j82bN4/w8HAiIiJo2rQpderU+UexZjRp0iTmzJlDv379nG3vvfcePXv25Pnnn2fQoEEUK1YMPz8/IiMj6dOnD3v27KF///5un9HQoUPp378/M2fOpFWrVi7HUlNTeeONNwCIiIjIs3sQERERkYJLlZUiIn/LdWWlMaaXMSbLIhrGGB9jTK8MTY8CWUvNRC6Dpk2buiQqAUaPHg3Arl27iIiIcCYqAXx9fXn88ccBXKaKZzZ16lRnohKgZMmSvP766xQqVIiFCxdy4MAB57FXXnmFEydO8MQTT9C7d2+XRbIDAgKclYPZ7ZLdpk0bjxKV6fHce++9WSowixYtyvTp0ylcuDALFy706JzuHDlyBIBy5cpRuLDnv+t47bXXSElJ4YEHHnBJVALOtuTkZF599dV/HGtGXbt2dUlUAjz88MPUqlWLU6dOebyu5kMPPUS5cuVYunQpv/32m8ux5cuXEx8fT6NGjWjYsOE/jl1ERERECr7UpEQlK0VEHDzJNrwDfAr8kam9pOPYXABr7Qd5E5q4c7kqFK9Wbdu2zdJWtmxZypcvz7Fjx9wev+mmmwCyJJ3SlSlThg4dOmRpr1GjBk2aNCE2NpY1a9YQHh4OwIoVKwCyJOPSNWjQgBIlSvD9999z7tw5fH19XY536dIlhzvM2XfffceXX35JfHw8p0+fdq6N6ePjw5EjRzhx4gRly5a96PP/U1999RWA22pFgH79+vHRRx9lWXvyn3L3/ACCgoLYsWNHts8+O0WLFqV///5MnjyZN99802UN0ZkzZwKqqhQRERGR3LNJ2mBHRCSdJ8lKA2TdFQSqAH/mTTgi/8wNN9zgtr1EiRIcO3bM7fESJUoAaVPC3alWrVq216tWrRqxsbEcPHjQ2fbLL78A0KhRowvGe+zYMZeKTYCqVatecFxmCQkJhIeHs2zZshz7nTp16h8lKytUqADA8ePHOX/+PIUKFfJo/K+//gpA9erV3R4PDAx06ZdXqlSp4ra9VKlSQPbPPicRERFMnTqV2bNn8+9//5vChQuzZ88e57qh999//z+KWURERESuHTZR08BFRNJdMFlpjNlKWpLSAl8ZY1IyHC4EVAVWXJrwRDzj5ZXzygYXOp4Xzp8/D8D999+fpWoysyJufntatGhRj685ZswYli1bxi233MLEiRNp2LAhfn5+zmnhlSpV4tChQ253IffE7bffjpeXF0lJSfzwww/Ur1//os6TcWp8XkhNTc3x+KV47lWqVKFjx44sXryYJUuW0K1bN2bNmoW1ln79+l3w2YuIiIiIpLNJSXgV1X8/iohA7iorFzh+1gGWAwkZjiUB8cA/XwxP5AoVHx9/wWMZqyMDAgLYvXs3Y8eOpXbt2pc4ujTz588H4KOPPsqyMc3p06f5/fff8+Q6ZcuWpVmzZqxZs4Z3333X42Rl5cqV2bNnD7/88otzx+2M0qtSM1eb+jh+y5yQkJBlDMC+ffs8iiOvDB06lMWLFzNz5kw6dOjAO++8g5eXF4MGDcqXeERERETk6mQTEzGOWT8iIte6C5YbWWvHWWvHAX2BsemfHa8XrbUfWmuTLn2oIvnj5MmTznUoM9qzZw9xcXEYY2jRooWzvV27dsDfCcTL4fjx40BaojSzDz744B9XVGb0lGPd1FmzZvHNN9/k2DclJYW4uDjn55YtWwIwd+5ct/3feecdAEJCQlza05OXO3fuzDLmxx9/dNngKC+kJ0dTUlJy7BcaGkqdOnVYvXo1zz77LMePH6ddu3bZTnMXEREREXHHJmvNShGRdLmeG2mtfddaew7AGFPGGFMu4+vShSiS/5544gkOHTrk/JyQkMDgwYM5f/48nTt3dlkTccSIEZQqVYoJEyYwY8YMtwmvbdu2sWjRojyLLygoCPh7c5d0mzZtYsyYMXl2HYCwsDAee+wxkpOTadOmDXPnzs0yDdtay6pVq7jzzjuZN2+es33YsGEULlyYDz/8kMWLF7uMmT9/PtHR0Xh7ezNs2DCXY61btwZg8uTJnDp1ytl+4MAB+vTpk6fJWPg7Obpjx44L9h0yZIgzNoDBgwfnaSwiIiIiUvClas1KERGnXCcrjTFVjTGfGGPOAseAI47XUcdPkQKpadOmlCpViptvvpn77ruP7t27ExgYyMqVK7nxxhuZMWOGS/+AgACWLFlCyZIlGTJkCFWqVKFNmzaEh4fTvn17qlSpQp06dYiOjs6zGJ955hkgreqxXr16PPjgg7Rs2ZLGjRsTFhZ2UZv25OTll1/mueee48yZM/Tu3ZuKFStyzz33EB4eTocOHahUqRKtW7fm22+/5eabb3aOq1u3Lq+++iqpqal06dKFJk2aEB4eTuPGjenRowcA06dP59Zbb3W5XkREBAEBAWzcuJGaNWvSpUsXWrVqRa1atShVqhR33nlnnt7ffffdh5eXF6+88gphYWE88sgj9O/fn/Xr12fp27NnT+emRYGBgW53nBcRERERyUnabuBKVoqIgAfJSuAd4DrgEaA10MrxCnX8FCmQfHx8WLVqFY8++ihbtmxh2bJl+Pj4EBERQVxcHP7+/lnGhIaGsm3bNp566ikqVqxIXFwcCxcuZNu2bQQGBvLiiy/ywgsv5FmM3bp1Y/Xq1YSGhnLgwAE+/vhjTp06xSuvvEJUVFSeXSedMYZnn32Wn376iREjRlC1alXi4uL46KOPiI2NpUqVKowePZrt27dnqTQcPHgwa9eupXPnzuzdu5fo6Gji4+Pp0qUL69atY8CAAVmuV7ZsWWJjYwkPDyclJYXly5dz8OBBRowYwaeffurcSCiv1KtXj48++ohGjRqxfv163n77bebMmcOuXbuy9C1WrJgzWTpo0KDLsomTiIiIiBQsNjFRlZUiIg4mt9MnjTEJQBNr7Y+XNqSCp2HDhnbTpk256rtjxw5q1ap1iSOS3IiJiSE0NJSWLVsSExOT3+HIFeqPP/4gICCAQoUKcfDgQcqVy/9VMfT3iIiIiMjV5acGDSnTrRvXjRmd36GIiFwWxpjN1tqG7o55UgK0F9CKvyIiGbzwwgskJSXRu3fvKyJRKSIiIiJXH5ukNStFRNIV9qDvcOBFY8xga+3uSxWQiMiVLn1q+J49e4iJiaF06dKMHTs2v8MSERERkauQTU3FJidrN3AREQdPkpVLSaus/MkYkwi4bHFsrS2Vl4GJiFypdu3axZw5cyhWrBjNmjXjpZdeolKlSvkdloiIiIhchWxyMoAqK0VEHDxJVg65ZFGIXIFCQkLI7Zqucm3p06cPffr0ye8wRERERKQAsImJAHhpN3AREcCDZKW19t1LGYiIiIiIiIjItcYmJQGqrBQRSefJBjsYY64zxjxpjJlljPFztAUbY6pfmvBERERERERECq70ykrjozUrRUTAg2SlMaYB8BMQDjwCpK9R2QZ4Ie9DExERERERESnYUlVZKSLiwpPKyinAq9ba24HEDO2fAcF5GpWIiIiIiIjINcA5DVxrVoqIAJ4lKxsA7tatPARclzfhiIiIiIiIiFw7tGaliIgrT5KVZ4GybtqDgD/yJhwRERERERGRa8ffu4FrzUoREfAsWbkUeNYYk/43qDXGVAMmAQvzOC4RERERERGRAk+VlSIirjxJVj4JlAOOAMWAdcBu4CTw77wPTURERERERKRgS3XuBq5kpYgIQOHcdrTWngKaGWNaAfVJS3R+a6394lIFJyIiIiIiIlKQ2aRkAIyPpoGLiIBnlZUAWGtXWWunWGsnX0yi0hgz1BgTbYzZYYw5ZoxJNsYcMcZ8YYx52BhjshnnZYyJMMZsMsYkGGP+NMasNcY8mItrPuTo+6dj7CbHuXK8f2NMW2PMSmPMcWPMGWPMj8aYpzNMhRcRERERERG5aDYpvbLSO58jERG5MuS6shLAGHM7EApUJFOi01o7MpenGeUY/yOwHjgNVAVaAa2BbsaYLtba1AzXLQQsAjoCp4CVQBFH/w+MMU2stcOziXkGMBg4B3wJJDvGTQdaG2O6ZbxWhnEjSVuP8zwQA5wAWgLjgQ7GmNbW2jO5vGfJI9WqVWPfvn2sXr2akJCQ/A4nz6WmpvLRRx+xaNEiNm7cyB9//IG1luuuu4769evTuXNnevToQREtvi0iIiIiUiCkr1mpDXZERNLkOlnpSN5NBPYBhwGb4bB1O8i9B4DvrLWnM52/NmnJxPuA3sA7GQ4/RlqicjvQylp72DHmJmAtMMwYs8pauzTTObuSlqj8HWhhrf3Z0X4dsBroDAwFXs00rqHjXs84rve1o70EsBxoAbwAPO7BfYvk6Oeff6Zr165s3boVYwz16tWjYcOGeHl5ER8fz7Jly1i8eDH//ve/2bFjB8WKFcvvkHMtPj6e6tWrU7VqVeLj4/M7HBERERGRK4bWrBQRceXJNPDHgUHW2urW2ibW2qYZXnfm9iTW2nWZE5WO9m3ADMfHNuntjqrK9KrNQemJSseYn0mr1AR42s3lxjh+jkpPVDrGHQYGOT6OdjMdfDRggEnpiUrHuASgL5AKDDbGlMnpXkVyKz4+njvvvJOtW7fSoUMH9uzZw7fffsuCBQuIjo7mm2++4dChQ4wZM4bff/+dJMdvX0VERERE5Orm3A1clZUiIoBnyUov0iofL6UUx8/EDG1NSZs2ftBau8bNmPmkTe1uZIypnN5ojLkBaAAkOfq4sNZ+BfwK+ANNMozzAdo5Pr7vZtwvwAbAB7gntzcmkpOHH36Yo0eP0qlTJ5YuXUr16tWz9KlQoQITJkxg3bp1mgYuIiIiIlJA2ERHslKVlSIigGfJylmkVRVeEsaY6sBAx8dlGQ7d7vi50d04x7qR2xwf67kZt81aezaby27M1BegJlAMOG6t3ePBOMlHffr0wRhDZGQku3fv5qGHHuK6666jSJEiBAUFMWnSJFJTXZcmbd26NcYY5s2bl+15n3jiCYwxjBzpuiRrcnIy06dPp3HjxpQqVYqiRYtSq1YtRo8ezbFjxzyKPSYmhtjYWHx8fJg1axZeXjn/z7JRo0YULVrUpe306dO88MIL1K1bl+LFi1O8eHHq1avHhAkTOHMm69KqkZGRGGPo06dPtjEZY7KsC5qxPTk5mRdeeIGgoCB8fX2pWLEiDz/8MPv373cZ06dPH2fydd++fRhjnK9q1aoB/+xZiIiIiIhczZyVlUpWiogAnm2wMw5YYYz5jrTNcZIzHrTW9vPkwsaYvqRtWOMN3ADcSVrydIK1dnGGruklZvtyON1+0hKVGcvRcjsuY9+M7/eTPXfj5Arw/fffM3z4cPz8/AgNDeWPP/5g7dq1jB49moMHDzJt2jRn36FDh7Jq1SpmzpzJAw88kOVcZ8+e5Z133sHLy4tBgwY528+dO0e7du2IiYmhWLFihIaGUqxYMdauXcukSZOYN28eq1atIjAwMFcxL12attRqWFgY/v7+Ht/z0aNHadWqFVu3bqVs2bKEhYUBsHr1ap5++mmio6NZtWoV5cqV8/jc2UlOTqZdu3Z8/fXXtGzZklq1arFhwwbef/991qxZw5YtWyhTJm2VhGbNmpGQkMDChQspXrw43bp1c57Hz88PuPhnISIiIiJytbNJiRhvb4wx+R2KiMgVwZNk5QvA3cC3QFk821THnWDSNtJJlwKMBV7O1K+E42eWdS4zSHD8LJmP4y6LtdG7OHog4cIdryB+ASVo3uPmy3KtV199lWeffZZnnnnGWaG4Zs0aQkNDmTlzJiNHjiQgIACAe++9l6pVq7J27Vp+/PFH6tSp43KuDz/8kBMnTtC+fXuXadnPPPMMMTExBAUF8cUXX1C5ctrqA2fPnqVnz54sXLiQ8PBwNmzYkKuYN2/eDKRVTF6MwYMHs3XrVpo3b86yZcucScITJ07QoUMH1q9fT0REBB9++OFFnd+d9evX07BhQ/bs2UPFihUB+PPPP2nVqhXffvstM2bM4Omn05aR7d+/P3fddRcLFy7Ez8+PyMjILOe72GchIiIiInK1s0lJWq9SRCQDT6aBDwYestY2stZ2sNbem/Hl6YWttf2ttYa0Kde1gVeA54A4Y0wlT893pTHGDDDGbDLGbDpy5Eh+h3PNaNSoEc8++6zLVOoWLVoQFhZGamoqq1evdrYXKlSIwYMHAzBz5sws50pvS+8DaQnJWbNmAfDaa685E5UARYsW5fXXX6dEiRLExcURGxubq5jT/3ykJ/08sW/fPhYsWICXlxezZ892JioBypYty+zZs/Hy8iI6OpoDBw54fP7sGGN4++23XWIuXbo0o0al7Xf15ZeeLW97Mc9CRERERKQgSE1M1BRwEZEMPKmsPAt8l9cBONaT3A6MMMb8DkwBpgNdHF3SywiL53Ca9GrIvzK0Xe5xLqy1bwJvAjRs2PCfVqE6Xa4KxavVPffc43b6RFBQEJ988gm//fabS3v//v157rnneO+995g0aRIlS6YVy3799dds3ryZwMBA2rZt6+y/efNmEhISqFSpEm3atCEzPz8/7r33Xj788ENiYmIIDg7O4zt0tXbtWqy1NG3alJo1a2Y5fsstt9C4cWM2bNjAmjVrCA8Pz5PrVqlShVtvvTVLe1BQEECW7zk3PH0WIiIiIiIFgU1KVmWliEgGnlRW/hd4zFzahTQiHT/vNcZ4O97HO35WzWFcQKa+eTGuiofj5ApQpYr7x1aqVCkgbb3JjMqVK0d4eDh//fUXUVFRzvb0Sr5Bgwa5VGn++uuvADlORU5fqzK974VUqFABgD/++CNX/TO6FPHkhqffc254+ixERERERAoCm5iI8fG+cEcRkWuEJ//ybw6EA/HGmE+MMcsyvvIonhOkrV1ZGEjfDeRbx0+3C/oZY4oB6QvcZaz8TH9f2xjjunXy3xpl6guwk7Qq0nLGmBuzGXeHm3FyBbiYZNbQoUMBnNO7jx07RnR0NL6+vvTr537fqLzM2Tdo0ACAjRvdbnifK3n9O4TMO6dndqmShhfzLERERERErmY2KQkvH1VWioik8yTjcBRYBKwCfgeOZXrlhRakJSpPOq4HsAE4AtxgjGnhZkx30nYU32itdZaOWWsPkJbo9HH0cWGMaUnaLuS/O66RPi4J+MTxMcucWWNMINAUSAKWe3Z7ciW67bbbaNGiBT/++CNr1qxhzpw5nDt3jgceeCDLDtrpa1Tu3bs32/P98ssvLn0vpGPHjgB89tlnHD582KPY06+Rfs3cxuPjWBMnIcH9Zk379u3zKI684smzEBEREREpCFKTtGaliEhGuU5WWmv75vTKzTmMMc2MMR2MMVnWyjTGBANzHB/nWGvPO657HpjsaJ9ljKmYYcxNwETHxxfcXPJFx89JxpgaGcZVBNJ38Zhorc1cRjaRtN3ORxlj7sgwrgTwNmnf20xr7ckL3bNcHdIr+qZPn87rr78OQERERJZ+DRo0oESJEvz6669uN5E5duwYH3/8MQAhISG5unZoaChNmzYlKSmJQYMGXbCqcfPmzZw9exaA5s2bY4whLi6OXbt2Zem7Y8cOvv76a7y8vGjR4u9cf3ricufOnW6vsWLFilzFnlvpydGUlJQL9s3tsxARERERKQi0G7iIiKvLvQBcDeBj4Igx5ktjzPuOaeTbgHVAIGnVimMzjfuvY9wtwM/GmEXGmI+BLYA/MM1auzTzxay1C4BZjj5bjTEfG2MWAT87zrWEtM18Mo/bCIwmbafy9caYlcaYaGAP0BL4Gnj6H34XcgXp1KkTAQEBzJ8/n71799KoUSMaNmyYpV/RokUZOHAgAMOHD+fQoUPOY+fOnWPQoEEkJCTQpEkTjzbXee+99yhXrhyLFy+mU6dOxMfHZ+lz/Phxxo4dS3BwMImJiQBUrVqVrl27kpqayqOPPsqff/7p7H/y5EkeffRRUlNT6dGjBwEBAc5jjRo1omTJkmzbto0PP/zQ5TozZ85kwYIFuY49NypUqICPjw+HDx/mxIkTOfbN7bMQERERESkIbFKyKitFRDLI9W7gxphypFUvtgYqkinRaa0tlYvTfAX8h7T1L28C7gQMaVOxFwLvWWuXZB5krT1vjOkEDAb6AmHAeWAzaRWOH2R3QWvtYGPMOiCCtERjIdLWpXwbmOWmqjJ93GRjzBbgCdLWtvQFfgFeA6ZYaxNzcb9ylShcuDCDBg3iqaeeAnKu5PvPf/7Dpk2biImJ4aabbqJVq1YULVqUtWvXcujQIapUqcL777/v0fUDAwNZv349Xbp04eOPP2b58uXUq1ePwMBAvLy82LdvH5s2beL8+fNUr16dIhl+8zpr1ix27txJTEwMgYGBzorO1atXc+LECerWrcuMGTNcrlesWDGeeeYZRowYQXh4ODNmzMDf35+tW7eyd+9eRo4cyeTJk8kr3t7etG/fnsWLF3P77bcTHBxM0aJF8fPzY+LEiS59PXkWIiIiIiJXO5uYiFeJ4vkdhojIFSPXyUrSpmjfDrwJ/EbaNGmPWGv3As94Os4xNpW0KsgslZC5GPsBkG1CM4dxnwKfejpOrk5t2rThqaeeonz58tx///3Z9vP19WXlypW8/vrrREVFsXr1apKTk6lWrRo9e/Zk5MiRlC9f3uPr16xZky1btjBv3jwWLVrExo0b2b59O9Za/P396dSpE127dqVbt254e/+9W6Cfnx8bNmzglVdeITo6mk8+SVty9aabbuLJJ59k+PDhFC+e9T9+nnzyScqVK8drr73Gpk2bKFq0KE2bNiUqKoozZ87kabISYPbs2ZQrV47PPvuM6OhoUlJSqFq1apZkJeT+WYiIiIiIXO3SNthRZaWISDpjbe5yjsaYU0Aba+3Xlzakgqdhw4Z206ZNueq7Y8cOatWqdYkjEncef/xxXnnlFUaOHMmkSZPyO5xrmp7FP6O/R0RERESuHnvC2uJbpw6Vp07J71BERC4bY8xma63bNd88WbPyD8D91sEiV7kDBw4we/ZsfHx8GDJkSH6Hc03TsxARERGRa0lqcpLWrBQRycCTaeBPA88bY3pba5W0lAJh9OjRHDx4kM8//5zTp08zYsQIl41o5PLRsxARERGRa5FNTMIUUbJSRCRdjslKY8xWXNemrA78YYzZByRn7GutvS3vwxO5tObNm8f+/fu5/vrrGTVqFP/5z3/yO6Rrlp6FiIiIiFyLbJIqK0VEMrpQZeWCyxKFSD6Jj4/P7xDEQc9CRERERK5FNjFRG+yIiGSQY7LSWjvucgUiIiIiIiIici2x1joqK4vkdygiIleMXG+wY4ypYIypkOHzrcaY8caYBy9NaCIiIiIiIiIFl01OW11N08BFRP7myW7g0cC9AMYYP2AN0Bl43RjzxCWITURERERERKTAsklJAJgiqqwUEUnnSbLyNiDO8b4bsNtaWxvoBTya14GJiIiIiIiIFGQ2MREA4+Odz5GIiFw5PElWFgUSHO/vApY53n8LBORlUCIiIiIiIiIFXXplpZcqK0VEnDxJVv4MdDHGqet/wwAAIABJREFUBAB3Aysd7dcBJ/M6MBEREREREZGC7O/KSq1ZKSKSzpNk5ThgEhAPxFlrv3a0hwHf5XFcIiIiIiIiIgVaavqaldoNXETEqXBuO1prFxljqgCVgB8yHPoCWJjXgYmIiIiIiIgUZDYxPVmpykoRkXS5TlYCWGsPA4cztX2dTXcRERERERERyYZNTt8NXMlKEZF0OSYrjTGvAWOstacd77NlrR2Wp5GJiIiIiIiIFGDpa1Z6qbJSRMTpQmtW3gp4Z3if3avOpQpQJKNq1aphjCEmJia/QylQtm7dyrBhw7jtttsoW7Ys3t7e+Pn50bx5c8aNG8e+ffvyO0QRERERkQInfTdwo93ARUSccqystNaGunsvIgVDcnIyjz/+ODNnzsRay/XXX09wcDClSpXi6NGjbNy4kXXr1jFhwgTmzZtH586d8ztkj4SEhPDVV1+xevVqQkJC8jscEREREREXqdoNXEQkC4/WrBSRgiU8PJz58+dz/fXX8/rrr9OxY0eX4ykpKSxevJinnnpK1ZUiIiIiInnMJiUD2g1cRCSj3KxZmStas1Lk6vLWW28xf/58ypQpQ2xsLNWrV8/Sp3DhwnTv3p127drx888/50OUIiIiIiIFl1VlpYhIFrlZszI3L61ZKVekffv28eKLLxIaGkpAQABFihShXLlyhIaG8sEHH2Q7buXKlbRv356KFSvi7e1NuXLlCAoKol+/fnz77bcufU+ePMlTTz1F7dq1KVasGL6+vtxwww2EhITw4osvuj3/gQMHGD58ODVr1qRo0aKUKlWK4OBgIiMjsdZm6R8SEuJcq3Pz5s107NiR8uXL4+vrS926dZkzZ45H34u1lgkTJgDwzDPPuE1UZlSiRAluv/32LO3Lly+nXbt2+Pn54ePjQ0BAAL1792bHjh1uz2OMwRiT7XXS1ySNj4/Ptv3zzz+ndevWlC5dmmLFitGkSROWLVvm0j8mJgZjDF999RUAoaGhzmunf49RUVEYY2jbtm228WzduhVjDJUrVyYlJSXbfiIiIiIiFyN9N3Av7QYuIuKU6zUrRa5GUVFRjB07lhtvvJGgoCCCg4M5ePAga9euJSYmhri4OF57zbWAODIykr59++Ll5UXjxo2pWrUqCQkJHDhwgMjISG6++Wbq168PwJkzZwgODmb79u1UrFiRu+66i+LFi3Po0CG2b99OXFwcY8aMcTn/6tWr6dy5M3/++Sc1atSgbdu2JCQkEBcXR9++fVm1ahVz5851ez+ffvopL7/8MjVr1uTuu+9m//79rF+/nv79+3Py5EmeeOKJXH0vW7ZsYe/evRhj6NWr10V8szBmzBgmTpyIl5cXzZo1o3LlymzZsoW5c+cSHR3NggULaN++/UWdOztz5szhhRdeoFGjRtxzzz389NNPfP3113Tq1Ino6Gi6desGgL+/P7179+bTTz/l8OHDhIWF4e/v7zyPv78/TZs25cknn2TlypXs2bOHG2+8Mcv1ZsyYAcCAAQMoXFirZoiIiIhI3lJlpYhIVhf1r29jTAkAa21C3oYjF7I68k3+2PdLfofhkYpVAwntMyBfrh0WFkbnzp2pXbu2S/vPP/9M69atmTZtGuHh4TRu3Nh57Pnnnwdg7dq13HnnnS7jDh48yKlTp5yfFyxYwPbt22nfvj1LlixxSWidP3/eWdmX7tChQ3Tt2pWEhAQiIyPp1auXs9LwwIEDdOzYkaioKFq1akWfPn2y3M+kSZOYM2cO/fr1c7a999579OzZk+eff55BgwZRrFixC34vmzdvBqB69eqUL1/+gv0zW7FiBRMnTqR48eKsWLGCFi1aOI+99NJLjBw5kvDwcHbt2kXFihU9Pn92Jk+ezIoVK1yqIcePH8/YsWMZM2aMM1kZFBREZGQkISEhHD58mNGjR7vdYGfAgAGMHz+eWbNmMWXKFJdjp06d4v3338fb25sBA/Lnz6+IiIiIFGyp2g1cRCSLC00Dd2GMecwYsx/4E/jTGHPAGPO4yWlep0g+atSoUZZEJcBNN93E2LFjgbSEY0aHDx+mTJkyWRKVADfccAO33HKLS1+Au+66K0vlXaFChWjVqpVL2yuvvMKJEyd44okn6N27t8uU6ICAAGbPng3AtGnT3N5P165dXRKVAA8//DC1atXi1KlTbNq0ye24zI4cOQJw0YnEqVOnAjB8+HCXRCXAiBEjaNKkCX/++afzfvLK0KFDs0zbHjlyJKVLl2b37t3s37/fo/MNHDiQwoUL884773Du3DmXY++++y4JCQl06tSJ66+//h/HLiIiIiKSmU1PVqqyUkTEKdeVlcaYycAA4CVgg6O5KfAMcD0wMs+jkyzyq0Lxanbu3Dk+++wzNm7cyJEjR0h0TLU4dOgQALt27XLpf8cddxATE0OvXr14/PHHqVevXrbrLDZq1AhIq3j08/OjQ4cOlClTJttYVqxYAUD37t3dHm/QoAElSpTg+++/59y5c/j6+roc79Chg9txQUFB7Nixg99++y3ba+eVlJQUYmNjAdxWfwL07duXuLg4YmJiePrpp/Ps2u7u38fHh8DAQL777jt+++03qlSpkuvzVa5cmS5duhAdHc28efNc7mfWrFkARERE/OO4RURERETcsYlJ4O2N8fKojkhEpEDzZBp4f6C/tTZjGdoqY8xPwBsoWSlXoA0bNtCjRw8OHjyYbZ+M07oBZs6cSYcOHYiKiiIqKorSpUtzxx13cNddd9GrVy+XtQ9DQkIYOXIkU6ZMoWfPnhhjCAoKolmzZnTt2pWwsDCXc//yS9oU/vQkZ06OHTtG5cqVXdqyS8SVKlUKIEt1YHYqVKgAwB9//JGr/pnjSkxMxMvLi6pVq7rtExgYCMCvv/7q8flzklf3n9GwYcOIjo5m5syZzmTl6tWr2bFjB7Vr16Zly5YXHa+IiIiISE5sUhJe3t75HYaIyBXF0zUrt2TTpl8DyRXnzJkzdO7cmcOHD/PII48waNAgatSoQcmSJfHy8mLlypWEhYVl2X27Vq1a7Ny5k88++4xVq1YRGxvL6tWr+fzzzxk3bhwLFy50mYo8adIkBg4cyNKlS1m3bh2xsbHMnj2b2bNnc/fdd7N8+XLnFPHz588DcP/992epmsysiJt1a7zy6DeuDRo0AGDv3r0cO3bsotatBHLc2ftipKam5ng8r+4/o+DgYG6//XY2btzI5s2badCggXNjncGDB+f59URERERE0tmkRK1XKSKSiSfJyrlABDA8U/sgICrPIhLJI2vWrOHw4cM0aNCAt956K8vx3bt3ZzvW29ubDh06OKcdnzhxgnHjxvHqq6/yyCOPZKkYrF69Oo899hiPPfYYAOvWrePBBx9k5cqVvP32284NWgICAti9ezdjx451u5bm5XLbbbdRrVo14uPjmTt3Lo8//niux5YvX54iRYqQmJhIfHw8N910U5Y+6RWkmStDvb29SU5OJiEhgRIlSrgcS05Odk7Nv9yGDh1Kv379mDFjBuPHj2fp0qWULFmSnj175ks8IiIiInJtSE1K0nqVIiKZ5FimZIx5Lf0F+AB9jTE7jTGRjtcOoB8Xuau4yKV0/PhxIC1B6M4HH3yQ63OVLVuWl156CS8vL3777TfnBjXZadasmXNK8Q8//OBsb9euHQDz58/P9bUvBWMMY8aMAdJ2P9+7d2+O/RMSEvjuu+8AKFy4MMHBwQDMnTvXbf/IyEiALDtwpycvd+7cmWXMypUrSUlJyfU95IaP4z/8LnTeBx98kPLlyzNv3jwmTpxISkoKvXr1omTJknkaj4iIiIhIRjZRyUoRkcwuNKfy1gyvWsBm4BBQ1fH6HfgWCLqEMYpclKCgtD+Wq1atckmOpaam8vzzzzs3icnozJkzvPzyy26TkcuXLyc1NZVSpUo5N9FZvHgxa9asyTJ9+ezZs3zxxRcALus6jhgxglKlSjFhwgRmzJjhNom2bds2Fi1adBF37Jn/+7//o3Pnzpw8eZJmzZrx8ccfZ+lz/vx5Fi9eTIMGDfjqq6+c7f/617+AtN3NM3+PL7/8Mhs2bKB06dL079/f5Vjr1q2BtARpkmPnQ0i756FDh+bZvaVLT47u2LEjx36+vr783//9H2fPnnXuxK4p4CIiIiJyqdmkJEwRJStFRDLKsSLSWht6uQIR8cTgwYOdm6q4s3jxYurXr0+HDh343//+R7169QgNDaV06dJs3LiR/fv3M3LkSCZPnuwyLikpiSeeeIKRI0dy6623ctNNN+Hl5cWePXvYtGkTxhgmTZqEt2MR7K+++opXX32VChUqcPvtt1OhQgX+/PNP1q9fz/HjxwkKCuLRRx91nj8gIIAlS5bQrVs3hgwZwgsvvEDt2rWpWLEiJ0+eZOvWrRw4cID777+fLl26XJovz8EYw0cffcSwYcN444036NixI5UqVaJBgwaULFmSY8eO8c0333DixAmKFClC9erVnWPbt2/PqFGjmDRpEi1atKB58+ZUqlSJrVu38uOPP+Lr68t7773Hdddd53LNMWPGMH/+fD7++GNq1qxJgwYN+P3339m4cSM9evQgNTWVffv25dk9du7cmcjISEaMGMHnn39OxYoVgbSkcc2aNV36Dh48mJdeeonz588TEhLCLbfckmdxiIiIiIi4YxMTVVkpIpKJpm/LVelClXKJiYkALFy4kP/+979ERUURExNDiRIlaNq0KR988AFnz57NkqwsUaIEs2bNIiYmhu+//57PPvuM5ORkKleuzEMPPcSwYcNo3Lixs3+fPn3w9fVl3bp1/Pjjjxw9epQyZcpQo0YNHnzwQR555JEsU4lDQ0PZtm0b06ZNY/ny5cTFxZGcnIy/vz+BgYEMHjyY7t2759E3lTNvb29mzZrFwIEDeeutt4iJiWHNmjWcPn2a0qVLU6dOHcLCwujduzc33HCDy9iJEyfSrFkzpk+fzsaNG1m/fj0VK1akZ8+ejB492m2y78YbbyQ2Npann36aNWvWsHz5cmrUqMFLL73E0KFDXRKieaFjx47MnDmTN954gy+++IKzZ88C8PDDD2dJVgYEBBAUFMS2bduIiIjI0zhERERERNyxSUl4+WiDHRGRjEzmnZBz7GxMKPAgUIW0NSydrLWt8ja0gqNhw4Z206ZNueq7Y8cOatWqdYkjEpHMfvjhB+rVq0elSpXYt2+fcwf3q5H+HhERERG5OsQ//DDGqxBV576b36GIiFxWxpjN1tqG7o5daM3KjCfpA3wClARCgCNAWaA+sP0fRykiko+eeeYZAIYNG3ZVJypFRERE5Ophk5IxRVRZKSKSkSf/In8SGGKtfcsY8xcwxlr7izFmOpBwacITEbl0li1bxtKlS9m6dSsbN26kWrVqDBkyJL/DEhEREZFrhNasFBHJKteVlUAg8IXjfSJQwvF+OtAnD2MSEbksvv32W95++2127txJ27Zt+fTTTylevHh+hyUiIiIi1wiblISXdgMXEXHhSbLyGGlTwAF+Beo43pcHiuZlUCIil8Nzzz2HtZZTp07xySefZNl0R0RERETkUrKJiRhvJStFRDLyZBr4WuBuYCsQDbxmjGkDtAY+vwSxiYiIiIiIiBRYqclJWrNSRCQTT5KVQwBfx/sXgRQgmLTE5fg8jktERERERESkQLOJSVqzUkQkk1wnK621xzO8TwUmXZKIRERERERERK4BNikJozUrRURc5HrNSmPMeWNMRTft5Y0x5/M2LBEREREREZGCy1qr3cBFRNzwZIMdk017ESApD2IRERERERERuTakpIC1eGnNShERFxecBm6M+ZfjrQUGGmMSMhwuBDQHdl6C2EREREREREQKpNTEtJof7QYuIuIqN2tWDnX8NEB/IOOU7yQgHhiYt2GJiIiIiIiIFFw22ZGsVGWliIiLCyYrrbXVAYwxq4Eu1toTlzwqERERERERkQLMJiYCYHy88zkSEZErS67XrLTWhmZOVBpjahhjfPM+LBEREREREZGCyyalVVZqzUoREVee7AY+wRjT2/HeGGO+AHYBh4wxjS9VgCIiIiIiIiIFzd+VlVqzUkQkI092Aw8HfnK8bwfUBZoAc4GJeRyXiFvVqlXDGIMxhtGjR+fY9+GHH3b2DQkJuTwBApGRkRhj6NOnz2W75pVu69atDBs2jNtuu42yZcvi7e2Nn58fzZs3Z9y4cezbty+/QxQRERERuaxSk7RmpYiIO54kK68DDjre3wNEW2u/AaYBt+d1YCIXEhUVxfnz590eO3XqFIsWLbrMEUlmycnJDBkyhLp16zJt2jSOHj1KcHAw3bt3p379+vz4448899xz3HzzzSxevDi/w/VYSEgIxhhiYmLyOxQRERERucpY7QYuIuJWbnYDT3cMqEpawvJuIL2srTBpO4WLXDYNGzZk06ZNfP7557Rt2zbL8Xnz5nH27FkaNWrExo0bL2tsnTt3pkmTJpQuXfqyXvdKFB4ezvz587n++ut5/fXX6dixo8vxlJQUFi9ezFNPPaXqShERERG5plhnZaWSlSIiGXlSWbkQ+MAY8zlQDvjM0V4P2J3XgYnkJH2KdWRkpNvjkZGRFCpUiJ49e16+oBxKly5NUFAQ119//WW/9pXkrbfeYv78+ZQpU4bY2NgsiUqAwoUL0717d7777jtatmyZD1GKiIiIiOQPm+zYYEdrVoqIuPAkWfkv4DVgO9DGWnva0X49MCuvAxPJSePGjalVqxZLly7l5MmTLsd++uknNmzYQFhYWI4Jwy+++IKIiAjq1q1L+fLlKVKkCFWrVqV3797s2LHD7Zg+ffpgjCEyMpItW7bQvXt3/P39KVSoEK+88gqQ/ZqVMTExzvUzT58+zejRowkMDKRIkSIEBAQwdOhQjh07lm2869evp2vXrvj7++Pj44O/vz/dunUjLi7Obf+TJ0/y1FNPUbt2bYoVK4avry833HADISEhvPjii1n6L1y4kH79+lG7dm3KlCmDr68vNWrUICIiggMHDmQblzvWWiZMmADAM888Q/Xq1XPsX6JECW6/PetqEsuXL6ddu3b4+fnh4+NDQEBAjs8nfY3S7KSveRofH59t++eff07r1q0pXbo0xYoVo0mTJixbtsylf/qz/OqrrwAIDQ11Xjt9WnhUVBTGGLeVv+m2bt2KMYbKlSuTkpKSbT8RERERKXi0wY6IiHu5TlZaa1OstVOttcOttd9laP+vtfatSxOeSPb69u3LuXPn+PDDD13a06st+/btm+P4gQMHMmfOHAoXLkyLFi2455578PHxYe7cuTRs2JB169ZlOzY2NpY77riDb7/9lpCQENq2bUuxYsVyFXdSUhKtW7dm+vTp1KlTh3vvvZdz584xffp0mjZtyuHDh7OMmTVrFs2bN2fRokVUqVKFbt26UaVKFRYuXEhwcDCzZ8926X/mzBmCg4N58cUXOXr0KHfddRedO3emRo0abN++nXHjxmW5xv333090dDTFixfnrrvuok2bNiQmJjJz5kzq16/Prl27cnV/AFu2bGHv3r0YY+jVq1eux2U0ZswYOnTowMqVK6lduzbdunWjdOnSzJ07l/r167N8+fKLOm9O5syZQ1hYGAkJCdxzzz0EBQXx9ddf06lTJxYsWODs5+/vT+/evbnuuusACAsLo3fv3s6Xv78/PXr0oGLFiqxcuZI9e/a4vd6MGTMAGDBgAIULe7Iqh4iIiIhc7aw22BERceuC/zo2xkwAxltrzzg+3wOsttaedXwuBUy31l5cRkI8cvLjPST9dvrCHa8gPpWKU+beG/P8vD179mTMmDFERkYyaNAgAM6fP8/cuXMpV64cHTt2zFIRl9GUKVMICQmhTJkyzjZrLW+++SYDBw5kwIABbNu2zW2l3ltvvcXTTz/N888/j5eXJwXKsGHDBm6++WZ++uknKleuDMBff/1F586d+fLLLxk6dCjR0dHO/j/88APDhg0DIDo6mu7duzuPzZs3j/DwcCIiImjatCl16tQBYMGCBWzfvp327duzZMkSl0TY+fPnnRWBGX3wwQd06NDBJemakpLCuHHjGD9+PMOHD+eTTz7J1T1u3rwZgOrVq1O+fPncfjVOK1asYOLEiRQvXpwVK1bQokUL57GXXnqJkSNHEh4ezq5du6hYsaLH58/O5MmTWbFihUs15Pjx4xk7dixjxoyhW7duAAQFBREZGUlISAiHDx9m9OjRbnecHzBgAOPHj2fWrFlMmTLF5dipU6d4//338fb2ZsCAAXl2DyIiIiJydUhN32BHlZUiIi5yk2UZBZTI8HkeaVO/0xUFwvMyKJHc8Pf3p23btnzzzTfOacErV67kt99+46GHHsLnAv+n36lTJ5dEJaRNI3700Ue588472bFjB9u3b3c7NigoiHHjxnmcqEw3depUZ6ISoGTJkrz++usUKlSIhQsXuky7fu2110hJSeGBBx5wSVQCzrbk5GReffVVZ3t6deZdd92VpWKvUKFCtGrVKktMPXr0yFIdWrhwYf7zn/9QqVIlVq5cyV9//ZWr+zty5AjARScSp06dCsDw4cNdEpUAI0aMoEmTJvz5559ZKkr/qaFDh2aZtj1y5EhKly7N7t272b9/v0fnGzhwIIULF+add97h3LlzLsfeffddEhIS6NSp0zW/vqmIiIjItchZWemjykoRkYxyM+8wc1mZdv7OR5eiQvFq1qdPH5YvX05kZCSTJk1yTgHPvF5kdg4ePMjy5cvZuXMnp06d4vz58wD8/vvvAOzatYvatWtnGXffffdRqFChi4q5TJkydOjQIUt7jRo1aNKkCbGxsaxZs4bw8LTfAaRXQWZ3T/369eOjjz4iJibG2daoUSMAJk2ahJ+fHx06dMiSmHVn165dfPrpp+zevZuEhARSU1OBtArL1NRUdu/e7XZtybyUkpJCbGwskP099+3bl7i4OGJiYnj66afz7NrunouPjw+BgYF89913/Pbbb1SpUiXX56tcuTJdunQhOjqaefPmudzPrFlpS/1GRET847hFRERE5Orz95qV3vkciYjIlUWLpMlVrWPHjpQvX56oqChGjBjB0qVLufXWW2nQoMEFxz777LNMmDAhx41NTp065ba9atWqFx1ztWrVcjwWGxvLwYMHnW2//vorQLab1AQGBrr0AwgJCWHkyJFMmTKFnj17YowhKCiIZs2a/T97dx5XVbX/f/y1UEEcyym0VETLoRwSvGY4W6mRhppZDqlljpnduqldy/pe0ysNt7LUiiyuc46hqWmmqDijlkNoaYKzOXs1BIX1+wPO+YEc4BwFMXs/H4/zAPZea+/P3j2uVz981vrQqVMnWrduneEaV65cYeDAgXzxxRdYa7OML6v3cbWyZcsC8Pvvv7s1Pr1Tp06RmJiIl5dXlu/Z1TPnhqwSkSVKlADIVB3pjhdffJFZs2YxYcIEZ7Jy5cqVxMbGcu+996oLuoiIiMhflLMbuPasFBHJ4NrWsIrcJLy9venatStHjx6ld+/eJCYm5thYB1I7X//rX//C19eX8PBw9u3bxx9//IG1FmstTz/9NECWiTtfX99cfQ53ZNfl2pWwsDD27t3LBx98QMeOHTlz5gzh4eG0adOG1q1bZ0jSfvTRR4SHh1O+fHlmzpzJgQMHuHTpkvN9NGrUCMj6fVzNkSzev39/th3Oc+LpM+fEUSmalWtd1p+d4OBg7r//fjZv3uzcy9PRWGfgwIG5fj8RERER+XNIUTdwERGX3P2XeX9jzMvGmJdJrcZ8Lt3P/fMuPJGcOarVvv32WwoWLOhcPp2d2bNnAzBmzBj69OlDQEBAhgTk3r178yRWgLi4uBzPpd/P0vH9b7/95nKO43j6OQ5VqlThpZdeYs6cORw9epQ1a9Zw1113sWzZMr788kvnOMf7+Oyzz+jSpQsVK1bEJ91veD19H3Xq1MHf3x9rLZMnT/ZobunSpfHx8SElJSXLd5XVMxcqlLqE5sKFC5nmXL58maNHj3oUS24ZPHgwkJqkPHLkCJGRkRQvXpwePXrkSzwiIiIikv9sUhIUKIApqAWPIiLpuZOsPAD0BganfY4BXdP93CttjEi+qF+/PsHBwZQuXZrOnTu71dTl9OnTAFSsWDHTudjYWLZt25brcTqcPXuWxYsXZzq+b98+NmzYgDEmQ1MZxzLhrJJ+X331FYDLbtRXa9y4sTO5+9NPPzmPZ/c+vv/+e2fDHHcZY3jttdcA+Ne//sX+/fuzHX/hwgXnOy9YsCDBwcFA1s/s2Jv06md2JC93796dac6yZcuyXfJ/LRxNnHK67tNPP03p0qWZOXMmY8eO5cqVKzzzzDMUL148V+MRERERkT8Pm5ikqkoRERdyTFZaa/2ttVVy+tyIYEWyEh0dzcmTJ5k+fbpb42vUqAFAeHg4SWld+CB1j8WePXvmelLraq+88kqGKr8LFy4wcOBAkpOT6dChQ4a9E1988UUKFizIjBkzmD9/fobrzJ49m1mzZlGoUCFefPFF5/H58+ezevXqTMueExISWL58OZBx303H+5g4cWKGOfv27aN//2srnn7++efp0KEDZ8+epXHjxixcuDDTmOTkZObPn09gYKCzkRDAyy+/DMCHH37obLbj8J///If169dTsmRJ+vTpk+Fcq1atgNQEafr/rrt27XJWN+YmR3LU0Y0+K4ULF+b5558nISGBjz/+GNAScBEREZG/OpuUhJeSlSIimajeXP6SXnrpJSZPnsyiRYuoVq0aDRs2JCEhgVWrVlGxYkVCQ0P55ptv8uTejRo1Ijk5mXvuuYeWLVvi7e3NqlWrOHHiBFWrVnXuZ+hQt25dPvroI1544QU6duxIw4YNqVq1Knv37mXTpk14eXnxySefULt2beecVatW8dFHH1G2bFnuv/9+ypYty7lz51i3bh2nT5+mRo0a9OvXzzn+tdde47vvvuOzzz5j5cqV3H///Zw+fZpVq1bRqFEj/PyCAPovAAAgAElEQVT8WLdunUfPaYzh66+/5sUXX+Szzz6jffv2VKhQgcDAQIoXL86pU6fYtGkTZ86cwcfHJ0MDoZCQEIYNG0ZYWBhNmzalSZMmVKhQgR07drBz504KFy7M1KlTueOOOzLc87XXXmP27NksXLiQ6tWrExgYyLFjx9i8eTNPPvkkKSkpxMfHe/Qc2enQoQMRERG8+uqrfP/9986q3ldffZXq1atnGDtw4EDeffddkpOTad68ObVq1cq1OERERETkz8cmJaqyUkTEhWwrK40xI9393KiARXJDQEAA27Zt46mnnsJay8KFC4mNjaVv377Oqr284u3tzYoVK+jXrx/bt29nwYIFeHt7M2jQIDZs2ICfn1+mOQMHDmTNmjV06NCB/fv3M2vWLOLi4ujYsSPR0dH07ds3w/hevXoxbNgw7rnnHnbu3Mns2bPZtGkT1apV44MPPmDTpk0ZnrFRo0Zs3ryZkJAQzp07R2RkJIcOHWLEiBEsXbrUuRekpwoVKsTEiRPZtm0bL7zwAqVKlWL16tXMmjWLmJgY7rvvPt5++2327t3L448/nmHu2LFjWbhwIQ8//DA7duxgzpw5nDlzhh49erBlyxYee+yxTPerWrUqa9eupX379pw9e5ZFixZx7tw53n33XY/3znRH+/btmTBhAjVq1GD58uVMmjSJSZMmudwbs2LFis4K1kGDBuV6LCIiIiLy52KTkjDqBC4ikonJrruvMWbHVYcqA0WAI2k/VwD+AOKstXXyJMJbQFBQkI2JiXFrbGxsLDVr1szjiCQ/REVF0aJFC5o1a0ZUVFR+hyM32E8//US9evWoUKEC8fHxFMzDjdT154iIiIjIze/QS38n8ZdfqLp4UX6HIiJywxljtlhrg1ydy/Zfy9Za57pSY0xv4Bmgp7X2QNqxSsBXwLTcC1dE5NYzcmRqAbpjD1IRERER+WtTZaWIiGue/It5JBDqSFQCWGsPGGNeASKBL3M7OBGRP7MFCxYQGRnJjh072Lx5M/7+/rzwwgv5HZaIiIiI3ARsYiLG+9q2WxIRuZXl2A08nTsAXxfHCwNlciccEZFbx9atW/nyyy/ZvXs3bdq04bvvvqNo0aL5HZaIiIiI3ARSu4GrslJE5GqeVFZ+D4QbY54HNgMW+BvwWdo5EclG8+bNyW6PWLn1vPXWW7z11lv5HYaIiIiI3IRSkhIpUKx4fochInLT8aSysg9wEFgHXAISgbXAYeD53A9NRERERERE5NZkky5rz0oRERfcrqy01p4AHjXG3APUSDu821r7S55EJiIiIiIiInKLSt2z0ju/wxARuel43JLWWvuLMeYccMJam5IHMYmIiIiIiIjc0mxSEl4+SlaKiFzN7WXgxphCxph3jDH/I3Xpt3/a8TBjzMA8ik9ERERERETklqPKShER1zzZs/JNoB3QndT9Kh02Ab1yMSYRERERERGRW5pNSsIUUrJSRORqniwDfxp41lq7yhiTfvn3TuCe3A1LRERERERE5NaVkpSkBjsiIi54UllZAYh3cbwg17D3pYiIiIiIiMhflU1K0jJwEREXPElW7gKaujj+JLAld8IRERERERERubXZK1cgORmjBjsiIpl4kqz8P+BjY8wIoADQ2RjzFTAcGOXOBdKa9LQyxrxvjIkxxpw3xiQZYw4bY+YYY5rnML+rMWaNMeacMeZC2jUGGWOyfQ5jTBtjzDJjzGljzB/GmJ3GmBHGmGxr7o0xDY0x840xvxtjLhljfk1rMlTSnecVERERERERuZpNSgLAS5WVIiKZuJ2stNYuJLWK8hEghdSGO3cD7ay1y928TDNgOfAycCewGpgPnAY6ASuNMf9yNdEYMx6YBgQBa4DvSd0r8xNgTlYJS2PMUGAJ0BLYCiwCygFvA1HGmCJZzHsaWAuEAr8AkYA38CoQY4wp5+Yzi4iIiIiIiDg5kpXGW3tWiohczZPKSqy1S621zay1xay1Ray1ja21yzy4RAowF2hqrS1vrX3MWtvFWlsbeApIBt4wxrRIP8kY0wkYCBwD6qTN60BqsjQW6AAMvvpmxpggYCzwBxBsrX3IWtsZCCA1UfoAMNrFvLuASYABQtOeswtQFfgaqAZ85sFzSy7x9/fHGIMxhuHDh2c7tnv37s6xzZs3vyHx9erVC2MMERERN+R+12rx4sX06NGDatWqUaxYMXx8fLjrrrsICQnh008/5X//+19+hygiIiIicstKSXQkK1VZKSJyNY+SlQ7GmNuMMaXSf9yZZ61dYa19wlq7xsW5r4GItB+7X3X6tbSvw6y1v6abcxwYkPbjcBfVlcNJTTiGWWs3ppt3AehNavJ0oDHmtqvmvQT4Av+11kamm3cF6AucB0KNMbVyeGTJQ1OmTCE5OdnlufPnzzNv3rwbHNHN7/fff6d58+aEhIQwdepUvL29eeSRR+jQoQP+/v4sX76cAQMGEBAQQHy8q35aNzdHclpERERE5GZmL6clK9UNXEQkE7eTlcaYysaYJcaYBOAUcCLtczLta27Ylvb1rnT3vQsIBJKA2VdPsNauAg4DfqRWSjrmeQNt036c5mLeb8B6Upd2P3rV6dBs5p0HFl41Tm6woKAgjhw5wvfff+/y/MyZM0lISKBBgwY3OLKb19mzZwkODmbVqlU0atSIn376iZ9//pl58+Yxc+ZMoqOjOXnyJGFhYSQlJXHmzJn8DllERERE5JZkExMBMN6F8jkSEZGbjyeVlV8BdwDPAa1I3QOyJdAi7WtuuDvt69F0x+5P+7rLWpuQxbzNV40FqA4UAU5ba/e5O88YU4LU5d7pz7tzP7mBevXqBZDlcuuIiAgKFChAjx49blxQN7kXXniBvXv38re//Y0VK1ZQp06dTGOKFy/O0KFD2bJlC3fccUc+RCkiIiIicutzNthRZaWISCaeJCv/BjxjrZ1urY2y1q5K/7neQIwxfkCvtB/npjtVJe1rdmtSD1w1Nv33B8iaq3n+aV/PplVRujtPbqCGDRtSs2ZNIiMjOXv2bIZze/bsYf369bRu3Zry5ctne51du3bxzDPPULFiRXx8fChTpgyPPvooS5YsyXLOxYsXGTFiBFWrVsXHx4eKFSsycOBATp06le29Ll++zCeffELDhg0pUaIEvr6+1KxZk+HDh2c799SpU4wcOZL777+fEiVKULRoUe6++2569erFunXrsr2nw759+5gxYwYAn376KYULF852fLVq1TK9O0/jj4qKyna/0Li4OIwx+Pv7Z3ncWsuECROoV68eRYoU4fbbb+fxxx9n586dGea89dZbGZZ/O5aDp18W/txzz2GMYezYsVk+98cff4wxhieffDK71yMiIiIicl3+f2Wl9qwUEbmaJ8nK/UCe/NrHGFMQmAqUBH5I6zzuUCzt68VsLnEh7WvxfJyXgTGmrzEmxhgTc+JEbq2Sl/R69+7NpUuXnEk4B0e1Ze/evbOdv2DBAgIDA5kyZQolS5akU6dO1KpVi6VLl/Loo4/yxhtvZJpz8eJFWrRowZgxYzh58iRt27blb3/7GzNnzqRhw4ZZLp2+dOkSjzzyCIMHD2bnzp00bdqUdu3acfbsWcLCwggMDOS3337LNG/btm3Url2bUaNGceDAAed+k6VKlWLGjBl8/vnnbr2rb7/9lpSUFGrXrs3993teEHyt8V+vXr168fLLL1OuXDlCQkIoWbIkCxYsIDg4OMP96tWrR8+ePZ0/9+zZM8MHYPDg1B5cn332GSkpKS7vN2HCBAAGDRqU688iIiIiIuKQom7gIiJZKujB2CHAv40xA621e3M5jk9JXVp+kMzNdf6UrLWfA58DBAUF2dy67pIlSzh27FhuXe6G8PPzo23btjkP9FCPHj147bXXiIiIYMCA1D5LycnJTJ48mVKlStG+fXsWLFjgcu6xY8fo0aMHiYmJvP/++7z88svOc1FRUYSEhPD222/TuHFjWrdu7Tw3cuRINm/eTO3atVm+fDnlypUDUveDDAkJyfJ+I0eOJCoqiho1arB8+XLuvPNOABISEujRowdz586lW7durF+/3jnnwoULtG/fnqNHj9K/f3/+85//4Ovr6zx/4sQJ9uzZ49a72rJlC8A17+F5LfFfr/j4eNasWcOuXbuoWjV1Z4bExEQ6duzI4sWL+fe//014eDgAoaGhhIaG8t///hdwvT1AvXr1aNy4MdHR0SxevJjHHnssw/kVK1awe/du7r33Xpo1a5ZrzyEiIiIicjWrbuAiIlnypLIyEmgO7DHG/GGMOZ/+c60BGGM+InUfzGNAK2vt1Zk4RxVj0Wwu46iG/F8+zpMbzM/PjzZt2rBp0yZiY2MBWLZsGUeOHKFr1654Z/N//OHh4Zw/f57g4OAMiUqA5s2bO6vw3nvvPefxhIQEZyXjuHHjnIlKgNtuu42JEye67ESdkJDAxIkTnfMciT4AX19fPv30U4oVK8aGDRtYu3at89wXX3zBoUOHaNSoERMmTMiQqAQoW7YsjRs3zv4lpXFU96aP2V3XGn9uGDdunDNRCeDj48Obb74JwA8//ODx9Rz/XR0VlOmNHz8egIEDB15LqCIiIiIibvv/3cCVrBQRuZonlZWDgVyrEAQwxrwPvEhqN/FW1tpfXQyLS/taOZtLVbxqbPrvK3k4z7E35m3GmBJZ7Fvpat4NkRcVin9mvXr1YtGiRURERBAWFuasqHM04MnKqlWp26ymXzqc3rPPPktYWBjR0dEkJydToEABtmzZwoULF7jzzjtd7sNYp04d6tSpw08//ZThuGNehQoVePjhhzPNK1OmDO3atWPGjBlERUURHBwMwHfffeeMxVUS9Ea51vivV8GCBWnTpk2m4zVq1ADgyJEjHl+zY8eO3HnnnSxdupTffvuNgIAAAA4fPsyCBQsoXry4mjKJiIiISJ5z7FnppcpKEZFM3K6stNZGWGv/m9XH0xsbY94BXgZOAQ9Za3/OYui2tK/3GmN8sxjT4KqxALuBBKCUMaZq5ilAatOgDPOstecAR/fwrNbMZpon+aN9+/aULl2aKVOmcPLkSSIjI6lduzaBgYHZzjt8+DAAVaq47pHk7++Pl5cXly5dcjaPOXToULZzHPM8vReQIWnmEB+fmjd3JOeuR9myZQH4/fffPZ57rfFfr/Lly1OwYObfp5QoUQJIXRLuqYIFCzJgwABSUlL49NNPncc///xzrly5wjPPPEPx4lluRSsiIiIikisc3cCNuoGLiGTidrLSGPO5MeZpY0yF672pMWYs8CpwBnjYWrs9q7HW2oPAVsAb6OziWs2Au0hdRr4+3bwkwNHSuZuLeQFAIyAJWHTV6chs5pUA2qX9OD+ruOXG8Pb2pmvXrhw9epTevXuTmJiYY2Od9G5kxaKn98rN2BzJ282bN1/zNXL7XWXV5MbBy8uTXSrc17dvX3x8fPjyyy9JTEzk8uXLzr0vtQRcRERERG6EFHUDFxHJkifZgCJAGHDQGPNLWvKyq6fJS2PM28Aw4CypiUp3qhP/nfY1zBhTLd21ygGOzefGWmuvzn6MJXXp+jBjzN/SzSsGfEnq80+w1p69at6HpFZl9jTGtE83ryDwGVAC+CabalC5gRxLvr/99lsKFixIt26ZcsyZOPZdzKqDdVxcHCkpKRQuXJhSpUplmBMXF5fldV2dc8zbv39/lvMccaTfD7JSpdQdDNxtopOdkJAQvLy82LFjB9u2eVYQfK3xO/YMvXDhgss5jsrRG61s2bJ06dKFU6dO8fXXXzN//nyOHj1K8+bNqVWrVr7EJCIiIiJ/LTbpMqDKShERVzxZBt7dWlsJqE5q0tKX1CTiQWOMW9mUtMTfiLQf9wKDjTERLj7Dr7r3HGAi4AfsMMYsNMbMA34FagHfAJ+4iHkzMJzUROs6Y8wyY8wsUpd5NwM2posn/byDpDb9scA3xpjVxpiZaTE/lfa1nzvPLHmvfv36BAcHU7p0aTp37uxWExlHt+fJkye7PP/VV18B0LhxY+dS5MDAQIoWLcqhQ4dYvXp1pjk7d+5k+/bMRcKBgYEUK1aMw4cPu2wKc+rUKRYuXAiQYS9MRxfyL7/8Emuvb7vYatWq0aVLFwAGDBiQ4xLqffv2cfTo0euK35G43LdvH5cvX840b/Hixdf0LNkpVKgQAFeuXMl2XPpGO45mO4MGDcr1eEREREREXHHsWWkKqbJSRORq17LO8jdgJ/AzsAdIJnWJtjtKpfs+COiZxSdTVw1r7UBSl2VvJTXR2JrUpOELQCdrbbKrG1pr3wHaAitJ3YOyHXASeB1oZq39I4t5M4BgYAFQE+gAXAHeBYKstZ5v/id5Jjo6mpMnTzJ9+nS3xj///PMUL16c6Ohoxo0bl+Hc6tWr+fjjjwF45ZVXnMeLFClCnz59ABgyZIizwzbAuXPnGDhwoMukoq+vL/3793fOcyQBAS5dusSAAQO4cOECDzzwQIbmNH369KFChQqsW7eOwYMHc+nSpQzXPXHiBNHR0W49L8Ann3xCQEAAGzdupGXLluzYsSPTmIsXL/Kf//yHwMBAjh8/fl3xV65cmapVq3L27Fnef//9DPf55ptvMr333OBIkDq6w2clKCiIBx54gI0bN7Jq1SoqVKhAaGhorscjIiIiIuKKoxu4l7qBi4hk4nY3cGPMUKA50JjUZN8qYBrwvLXWrfWc1toIIMLTINPNnw64l43KOO874LtrmLcRUAbjFuTn58eUKVPo0qULQ4YM4YsvvuC+++7jyJEjrFmzhpSUFF5//fVM3ajffvtt1qxZw9atW6lWrRotW7akQIECrFy5kttuu4327duzYMGCTPcbNWoUMTExREVFcffdd9OyZUt8fX1Zs2YNR48epVKlSkybNi3DnOLFixMZGUlISAjjx49n5syZBAcHU7hwYeLj49m2bRtPP/00jRs3duuZS5UqRXR0NE8++STR0dHUqVOHWrVqUaNGDby9vTl8+DCbNm0iMTGRO+64w7n8/VrjB/j3v/9Nly5deO2115g9ezYBAQH8+uuvbN++nX/+85+MHj3ardjd1aFDBz744ANatWpFy5YtKVasGABffPFFprEvvvgiGzZsAFL3sXTVzEdEREREJC+kJCaCMaC/g4qIZOJJZeVYIBAYBTS01vZO6wSePxvPiVynxx9/nJiYGLp3786pU6eYM2cOO3bs4JFHHmHRokWMGjUq05xixYqxatUqhg8fTqlSpVi8eDEbNmzgiSeeYOPGjdx+++0u71W4cGGWLVvGuHHjqFWrFitXriQyMpISJUowdOhQtm7d6uyonV5QUBA7duxg+PDh+Pn58f3337No0SJOnz5N165dnRWP7ipfvjxr1qxh4cKFdO3alYSEBL777jvmzZvHb7/9xkMPPcTnn3/Ovn37nHtmXk/8nTt35ptvvuGBBx4gNjaWpUuXctttt7FkyRJnlWpuGj16NC+//DLFihVj3rx5TJo0iUmTJrkc+9BDDwGpS8f79u2b67GIiIiIiGTFJiVhfHxuaMNPEZE/C+PuXnjGmFakVlY2J3UJ914gitTl1austafyJMJbQFBQkI2JiXFrbGxsLDVr1szjiETko48+4qWXXuLJJ5/k66+/zu9wcpX+HBERERG5uR17ezTnFiyg+qaN+R2KiEi+MMZssdYGuTrnds25tfYH4Ie0C/oCD5K6h+QMUis0C11/qCIiee/8+fO89957ALz88sv5HI2IiIiI/NXYpCSMt/arFBFxxaMNMowx5YAWpFZXtgDuAY6Run+liMhN7d1332Xnzp2sXr2aQ4cO0blzZxo2bJjfYYmIiIjIX4xNTMRLyUoREZc8abATS2py8jipyckPgChr7Z48ik1EJFctWrSIVatWUbZsWZ5//vlMXcpFRERERG4Ee1mVlSIiWfGksvJDlJwUkT+xqKio/A5BRERERISUxNQGOyIikpkne1Z+BmCMKZP288m8CkpERERERETkVqU9K0VEsublziBjTAljzMfGmJOkLgM/bow5aYwZZ4wpmbchioiIiIiIiNw6bGIixkfJShERV3KsrDTG3AasAyoD04Cf007dCzwHtDTGBFtrz+VZlCIiIiIiIiK3CJuUhFcR3/wOQ0TkpuTOMvDXAQtUs9YeTX/CGPMm8H3amFdzPzwRERERERGRW4tNSsLcdlt+hyEiclNyZxl4R+DVqxOVANbaI8BQoFNuByYiIiIiIiJyK0pJStSelSIiWXAnWVkB2J7N+Z/SxoiIiIiIiIhIDmzSZXUDFxHJgjvJyrNkn4y8K22MiIiIiIiIiOTAJiZivAvldxgiIjcld5KVK4AR2Zx/LW2MiIiIiIiIiOTAJiXhpcpKERGX3Gmw83/AZmPMJuB9YHfa8VrAK8A9wN/yJjwRERERERGRW4tNTMQU0p6VIiKu5JistNbuMcY8BHwJzCC1MziAAWKBh621u7OaLyIiIiIiIiL/X8pl7VkpIpIVd5aBY63dZK29DwgEnk771LfW3mut3ZiXAYqk5+/vjzEGYwzDhw/Pdmz37t2dY5s3b35jAswHKSkpzJgxg86dO+Pv70+RIkXw9fXF39+fjh07MmXKFBITE/M7TBERERERAWxKCly+rG7gIiJZcCtZCWCMCQW2W2tnpX1+zMO4RHI0ZcoUkpOTXZ47f/488+bNu8ER3Xi//vor9erVo2vXrsydO5dSpUrx6KOP0q5dO8qVK8eCBQt45plnuOeee/jjjz/yO1yPxMXFYYzB398/v0MREREREck1NikJAOOjZKWIiCtuJyuBacBhY0yYMeaevApIxB1BQUEcOXKE77//3uX5mTNnkpCQQIMGDW5wZDdOXFwcDz74IDt27OCxxx5j3759bN26lTlz5jBr1iw2bdrE0aNHee211zh27BhJaX8pEhERERGR/GPTVj15qbJSRMQlT5KVfsCbQDMg1hgTbYzpbYwpmjehiWStV69eAERERLg8HxERQYECBejRo8eNC+oG6969OydPniQ0NJTIyEiqVKmSaUzZsmUZM2YM0dHR+GhPHBERERGRfPf/Kyv193MREVfcTlZaa/9nrf3MWvsAUAfYCPwbOGqMCTfGPJBXQYpcrWHDhtSsWZPIyEjOnj2b4dyePXtYv349rVu3pnz58tleZ9euXTzzzDNUrFgRHx8fypQpw6OPPsqSJUtcju/VqxfGGCIiIti7dy9du3bljjvuwMfHhxo1ahAWFkZKSorLuZcvX+aTTz6hYcOGlChRAl9fX2rWrMnw4cM5deqUR88fFRXF2rVr8fb2ZuLEiXh5Zf8/5QYNGuDr65vh2MWLFxk9ejR169alaNGiFC1alHr16jFmzBiXS8YjIiIwxjgTxa5icrU/aPrjly9fZvTo0dSoUYPChQtTrlw5unfvzoEDBzLM6dWrlzP5Gh8f79x7NP2y8FatWmGMYebMmVk+9yuvvIIxhqFDh2b7fkREREREbpSUxLRkpbqBi4i45EllpZO1dhfwAfA54A10AdYYYzYaY+rkYnwiWerduzeXLl1ixowZGY47qi179+6d7fwFCxYQGBjIlClTKFmyJJ06daJWrVosXbqURx99lDfeeCPLuT/++COBgYFs3LiRFi1aEBwczL59+xg+fDhDhgzJNP7SpUs88sgjDB48mJ07d9K0aVPatWvH2bNnCQsLIzAwkN9++83tZ4+MjASgdevW+Pn5uT3P4eTJkzRq1IjXX3+dgwcP0rp1a1q3bk18fDwjRozgwQcf5PTp0x5fNzuXL1+mbdu2jB07lmrVqtG2bVu8vLyYNm0ajRs3zpB0bty4MZ06dQKgaNGi9OzZ0/l54oknABg8eDAAEyZMcHm/hIQEvvrqK7y8vBgwYECuPouIiIiIyLVSZaWISPYKejLYGFMI6AA8C7QitbqyP/A1cDswJu37mrkbpjj88sso/nchNr/D8EjxYjW5556sE3/XqkePHrz22mtEREQ4k1HJyclMnjyZUqVK0b59exYsWOBy7rFjx+jRoweJiYm8//77vPzyy85zUVFRhISE8Pbbb9O4cWNat26daf5HH33Em2++yciRI51VjatXr6ZFixZMmDCBoUOHUrFiRef4kSNHEhUVRY0aNVi+fDl33nknkJpQ69GjB3PnzqVbt26sX7/erWffsmULwDXvyTlw4EB27NhBkyZNWLBgAbfddhsAZ86c4bHHHmPdunUMGjQoUyL4eqxbt46goCD27dtHuXLlADh37hwtW7Zk69atjB8/nhEjRgDQp08fHnroIebOnUuZMmVcLvdv164dlStXZs2aNezcuZP77rsvw/kZM2Zw5swZQkJCXC6RFxERERHJDzYpdc9K410onyMREbk5edIN/GPgKDAe+Bmoa61tbK2NsNYmWGuPAMOB6nkTqkhGfn5+tGnThk2bNhEbm5rAXbZsGUeOHKFr1654Z7NhdXh4OOfPnyc4ODhDohKgefPmzqq99957z+X8Bg0a8Oabb2ZYft20aVNat25NSkoKK1eudB5PSEhg4sSJAIwbN86ZqATw9fXl008/pVixYmzYsIG1a9e69ewnTpwAcCb9PBEfH8+cOXPw8vIiPDzcmagEuP322wkPD8fLy4tZs2Zx8OBBj6+fFWMMX375ZYaYS5YsybBhwwD44YcfPLpegQIFGDhwIOC6utJxzDFGRERERORm4Kis9FJlpYiIS55UVtYCXgDmWWuzait8Emhx3VFJlvKiQvHPrFevXixatIiIiAjCwsKcFXhZ7avosGrVKgB69uzp8vyzzz5LWFgY0dHRJCcnU6BAgQznH330UYwxmebVqFGDJUuWcOTIEeexLVu2cOHCBSpUqMDDDz+caU6ZMmVo164dM2bMICoqiuDg4Gxjv15r1qzBWkujRo2oXj3z7xZq1apFw4YNWb9+PatXr6Zbt265ct9KlSpRu3btTMdr1KgBkOGduatPnz689dZbTJHypKsAACAASURBVJ06lbCwMIoXLw7Axo0b2bJlCwEBAbRp0+b6AhcRERERyUWObuBG3cBFRFzypMFOK2vtzGwSlVhrr1hrV+VOaCI5a9++PaVLl2bKlCmcPHmSyMhIateuTWBgYLbzDh8+DJDl8mB/f3+8vLy4dOmSy+Y3lSpVcjmvRIkSQOoele7eCyAgICDD2JyULVsWgN9//92t8enlRTzu8OSduatUqVJ069aN//3vf0yZMsV53FFVOWDAgBybD4mIiIiI3Egpjj0rlawUEXEp23/FG2M6uvu5UQGLpOft7U3Xrl05evQovXv3JjExMcfGOum5qo50x7UkwK71Xq44krGbN2++5mvkZjxAll3QHfIqaehYsu9Yan/q1ClmzZpF4cKFefbZZ/PkniIiIiIi18o6uoF7axm4iIgrOWUP5rj5mZ2HMYpky7Hk+9tvv6VgwYJuLVt27BuZVQfuuLg4UlJSKFy4MKVKlbqu+Bz32r9/f5ZjHHGk388yO+3btwdg6dKlHD9+/Jriya77uKt4HHuAXrhwweWc+Ph4j+LILXXq1KFp06bs3LmT1atXM2nSJC5dusRTTz113f/tRERERERym1VlpYhItrJNVlprvdz8FMjuOiJ5qX79+gQHB1O6dGk6d+7sVtOZZs2aATB58mSX57/66isAGjduTMGCnmztmllgYCDFihXj8OHDLpvInDp1ioULFwKpzX3c0aJFCxo1akRSUhIDBgzIsapxy5YtJCQkANCkSROMMWzYsIFffvkl09jY2Fg2btyIl5cXTZs2dR53JC53797t8h6LFy92K3Z3OZKjV65cyXGso7ryk08+4dNPPwVg0KBBuRqPiIiIiEhucHQD9/JRslJExBVt5ia3hOjoaE6ePMn06dPdGv/8889TvHhxoqOjGTduXIZzq1ev5uOPPwbglVdeue7YfH196d+/PwBDhgzh6NGjznOXLl1iwIABXLhwgQceeMCj5jpTp06lVKlSzJ8/n9DQUOLi4jKNOX36NG+88QbBwcEkpm3kXblyZTp16kRKSgr9+vXj3LlzzvFnz56lX79+pKSk8OSTT1KxYkXnuQYNGlC8eHF27drFjBkzMtxnwoQJzJkzx+3Y3VG2bFm8vb05fvw4Z86cyXZsaGgoFStWZPbs2ezfv58GDRoQFBSUq/GIiIiIiOQGVVaKiGTPo5IxY0xbUjuCBwCPWGsPGmP6APuttZlLxkRuUn5+fkyZMoUuXbowZMgQvvjiC+677z6OHDnCmjVrSElJ4fXXX8+1TtKjRo0iJiaGqKgo7r77blq2bImvry9r1qzh6NGjVKpUiWnTpnl0zYCAANatW0fHjh1ZuHAhixYtol69egQEBODl5UV8fDwxMTEkJydTpUoVfHz+/544EydOZPfu3URFRREQEOCs6Fy5ciVnzpyhbt26jB8/PsP9ihQpwsiRI3n11Vfp1q0b48ePx8/Pjx07drB//36GDh3KO++8c93vyqFQoUKEhIQwf/587r//foKDg/H19aVMmTKMHTs2w9iCBQsyYMAA/vnPfwKqqhQRERGRm1eKoxu4j/asFBFxxe3KSmNMN2AW8AvgDxRKO1UAGJrrkYnksccff5yYmBi6d+/OqVOnmDNnDjt27OCRRx5h0aJFjBo1KtfuVbhwYZYtW8a4ceOoVasWK1euJDIykhIlSjB06FC2bt3q7MDtierVq7N9+3amTp1KaGgoJ06c4NtvvyUyMpJjx44RGhrK9OnT2bNnD76+vs55ZcqUYf369YwaNYo777yTJUuWsGTJEipWrMjo0aNZu3aty/0e//GPfzBp0iTq1KlDTEwMP/zwA1WrViU6Opq2bdte1ztyJTw8nOeee47k5GRmzZrFpEmTmDlzpsuxDz/8MAClS5emS5cuuR6LiIiIiEhusEmXAVVWiohkxVhr3RtozE/Av621M40x/wPqWmt/M8bUBZZZa+/Iy0D/zIKCgmxMTIxbY2NjY6lZs2YeRyRy6/n73//Ohx9+yNChQwkLC8vvcPKV/hwRERERuXmd/PQzTnz4IdW3/4SXEpYi8hdljNlirXW5f5sne1beDax3cfwCUOJaAhMRyQ0HDx4kPDwcb29vXnjhhfwOR0REREQkS849KwsVymGkiMhfkyd7Vh4B7gHirzreFNiXaxGJiLhp+PDhHDp0iO+//56LFy/y6quvZmgKJCIiIiJys7GXkzDe3hhj8jsUEZGbkifJys+BcWkNdQAqGmOaAO8Ab+V2YCIiOZk5cyYHDhygfPnyDBs2LFf3GRURERERyQspiYnar1JEJBtuJyutte8YY0oC3wOFgZVAIvCetXZ8tpNFRPJAXFxcfocgIiIiIuIRm5SkTuAiItnwpLISa+0IY8xooBap+13+bK29kCeRiYiIiIiIiNxibGKSKitFRLLhdoMdY8yXxpji1to/rLUx1tpN1toLxpiixpgv8zJIERERERERkVuBTUpSF3ARkWx40g28J+Dr4rgv8EzuhCMiIiIiIiJy67JJ2rNSRCQ7OS4DN8aUAkza53ZjzJV0pwsAIcDxvAlPRERERERE5NaRoj0rRUSy5c6elScBm/b52cV5C7yZm0GJiIiIiIiI3Iq0Z6WISPbcSVa2ILWqcgXQCTid7lwSEG+tPZIHsYmIiIiIiIjcUlK7gStZKSKSlRyTldbaVQDGmCrAQWttSp5HJSIiIiIiInILsomJeBUvlt9hiIjctNyprATAWhsPYIypAFQCvK86vzp3QxMRERERERG5taR2A9eelSIiWXE7WZmWpJwONCV1n0qT9tWhQO6GJiIiIiIiInJrSVE3cBGRbHl5MPZDIBmoBfwBNAE6A7FAm9wPTUREREREROTWYpMuqxu4iEg2PElWNgOGWWt3k1pRecJaOw8YBozKi+BErubv748xJsOncOHCVKlShWeeeYYff/wx05xevXphjCEiIuLGB/wnlJKSwowZM+jcuTP+/v4UKVIEX19f/P396dixI1OmTCExMTG/wxQRERER+VOyiYkY70L5HYaIyE3L7WXggC9wMu3700A54BfgZ6BOLsclkq3WrVvj5+cHwOnTp9m8eTNTpkxhxowZTJkyhaeeeiqfI/xz+vXXX+nUqRM7duzAGEO9evUICgrCy8uLuLg4FixYwPz583n99deJjY2lSJEi+R2y2+Li4qhSpQqVK1cmLi4uv8MRERERkb8om5SkZeAiItnwJFm5G6gBxAE/Av2NMQeBQcDh3A9NJGvDhw+nefPmzp8TEhJ4/vnnmTZtGv369eORRx6hVKlS+Rfgn1BcXBwPPvggJ0+e5LHHHmPcuHFUqVIlw5gTJ07wwQcf8P7775OUlPSnSlaKiIiIiNwMbGIiXloGLiKSJU+WgX8E+KV9/y/gEeA3YCDwz1yOS8Qjvr6+TJw4kaJFi3L+/HmWLl2a3yH96XTv3p2TJ08SGhpKZGRkpkQlQNmyZRkzZgzR0dH46C9YIiIiIiIesdZiL1/GFFJlpYhIVtxOVlprp1lrI9K+3wr4Aw2AStba2XkSnYgHihcvzj333ANAfHx8juNz2svyrbfewhjDW2+9leXxQ4cO0atXL8qXL0+RIkWoX78+c+bMcY5du3Ytjz76KKVLl6ZIkSK0aNGCzZs3u7zf8uXLGTRoEHXr1qV06dL4+PhQuXJlevbsSWxsrMs5ly5dYuzYsdSvX59ixYrh4+ND+fLladSoEa+//jqXLl3K8T0AREVFsXbtWry9vZk4cSJeXtn/0dCgQQN8fX0zHLt48SKjR4+mbt26FC1alKJFi1KvXj3GjBnDH3/8kekaERERGGPo1atXljEZYzJU0F59/PLly4wePZoaNWpQuHBhypUrR/fu3Tlw4ECGOb169XImX+Pj4zPseerv7w9Aq1atMMYwc+bMLJ/7lVdewRjD0KFDs30/IiIiIiKu2KQkADXYERHJhtvLwI0xocAia+1lAGvtH8DWvApM5FqcP38e4IZU/cXFxREYGEixYsVo1qwZhw4dYu3atTz55JNMnz4dHx8funTpQr169Xj44Yf56aefiIqKokWLFmzdutWZWHXo378/hw4d4t5776Vp06YA7Ny5k8mTJzNnzhyWLl1K48aNneNTUlIICQlhxYoVlCxZkmbNmlGyZEmOHz/Onj17GD16NC+88IJzb8/sREZGAhn3AvXEyZMnadmyJTt27OD222+ndevWAKxcuZIRI0Ywa9YsVqxYkatL8y9fvkzbtm3ZuHEjzZo1o2bNmqxfv55p06axevVqtm/fzm233QZA48aNuXDhAnPnzqVo0aI88cQTzuuUKVMGgMGDB7NixQomTJjgcs/ThIQEvvrqK7y8vBgwYECuPYeIiIiI/HU4k5Xas1JEJEue7Fk5HUgwxswGplhr1+ZRTJKNN349xM4LCfkdhkfuK+bLqLvvyvP7/Pjjj+zfvx+AevXq5fn9/vvf/zJkyBDef/99ChQoAMDEiRMZOHAgr776KhcvXmTatGl07twZSE0udu3ala+//pqwsDAmTZqU4XrvvfcezZs3dybYIHWZyOeff07//v3p27cvu3btwhgDQHR0NCtWrKB+/fqsXr2aokWLZpi3bt06SpQo4dazbNmyBUitmLwWAwcOZMeOHTRp0oQFCxY4n+HMmTM89thjrFu3jkGDBjFjxoxrur4r69atIygoiH379lGuXDkAzp07R8uWLdm6dSvjx49nxIgRAPTp04eHHnqIuXPnUqZMGZfVtO3ataNy5cqsWbOGnTt3ct9992U4P2PGDM6cOUNISIjLJfIiIiIiIjmxiYkAGB8lK0VEsuLJnpV3AP8AqgKrjDG/GWPeNsbUyJvQRNxz5swZFixYQMeOHUlJSaFevXo0a9Ysz+/r7+/PO++840xUAvTt25fSpUtz6NAh2rRp40xUAnh5eTFs2DAgteLwaqGhoRkSlQDGGPr168eDDz5IbGwsP//8s/Pc8ePHAWjSpEmGRKVjXnBwsNsNcE6cOAHgTPp5Ij4+njlz5uDl5UV4eHiGZ7j99tsJDw/Hy8uLWbNmcfDgQY+vnxVjDF9++WWGmEuWLOl8xz/88INH1ytQoAADBw4EYMKECZnOO445xoiIiIiIeMpRWemlykoRkSy5XVlprf0f8BXwlTGmAvAU0BV4zRiz1Vp7bSVZ4pEbUaH4Z9CiRQuXx+vXr8+8efNy3HMxt2LwvuovGQUKFMDf359Tp07Rpk2bTHPuvvtuAI4cOeLymocOHWLRokXs3r2b8+fPk5ycDMCxY8cA+OWXX7j33nuB1GctUKAAkyZN4p577qFTp07ccccdufZ87lqzZg3WWho1akT16tUzna9VqxYNGzZk/fr1rF69mm7duuXKfStVqkTt2rUzHa9RI/X3J1m94+z06dOHt956i6lTpxIWFkbx4sUB2LhxI1u2bCEgIMDlf1cREREREXekOCsrtWeliEhWPFkG7mStPWKM+QSIB14H6udqVCI5SL+3oo+PDxUqVKBJkya0aNHCuUw6r911l+vEcbFixbI87ziXmPaXlPTefPNNxowZw5UrV7K8p2NPToCqVavywQcf8I9//INBgwYxaNAgAgICePDBB3n88cfp0KFDhqrP7JQtW5bdu3fz+++/uzU+vcOHDwNkuzQ6ICCA9evXO8fmhkqVKrk87lj67m5zofRKlSpFt27d+OKLL5gyZUqmSssBAwbckES4iIiIiNyabNJlAHUDFxHJhsf/6jbGtDDGfAEcB74gtcnOQ7kdmEh2hg8fTkREBBEREXz22We8+eabtGzZMlcTlSkpKdmezylp5UlSa+7cufzrX//C19eX8PBw9u3bxx9//IG1FmstTz/9NJC6F2V6gwcPJj4+nokTJ9KtWzeSk5OZOnUqnTt3JigoKENyMzuBgYEAWXYqd0duJ4mv9/1fq8GDBwOp+48CnDp1ilmzZlG4cGGeffbZPLmniIiIiPw12CTtWSkikhO3/7VvjHnXGHMQ+A4oC/QF/Ky1z1lrM2/AJ3KTcyzhvnDhgsvz8fHxNyyW2bNnAzBmzBj69OlDQEAAvr6+zvN79+7Ncq6fnx/9+/dn6tSpxMXF8eOPP1K7dm1+/PFHxo4d69b927dvD8DSpUude2G668477wTgt99+y3KM45xjLNxc7z+9OnXq0LRpU3bu3Mnq1auZNGkSly5d4qmnnsrVbuYiIiIi8tejbuAiIjnzpDTpQWAMUN5a+7i1dra1NvNaVpE/CUfibPfu3ZnOJSQkEBUVdcNiOX36NAAVK1bMdC42NpZt27a5fa26desyZMgQAH766Se35rRo0YJGjRqRlJTEgAEDcqxq3LJlCwkJqV3pmzRpgjGGDRs28Msvv7iMf+PGjXh5edG0aVPn8ezeP8DixYvdit1djuRodsvsHRzVlZ988gmffvopAIMGDcrVeERERETkr8fRDdxLe1aKiGTJ7WSltTbYWjvRWns6LwMSuVFatWoFwJQpU9izZ4/zeEJCAgMGDODAgQM3LBZHU5jw8HCS0n7bCvD777/Ts2dPlwm2FStWsHjx4kznkpOTnYm+ypUrux3D1KlTKVWqFPPnzyc0NJS4uLhMY06fPs0bb7xBcHCwc9/NypUr06lTJ1JSUujXrx/nzp1zjj979iz9+vUjJSWFJ598MkMytkGDBhQvXpxdu3YxY8aMDPeZMGECc+bMcTt2d5QtWxZvb2+OHz/OmTNnsh0bGhpKxYoVmT17Nvv376dBgwYEBQXlajwiIiIi8teTospKEZEcZdtgxxjTEVhorb2c9n2WrLXzcjUykTzWuHFjHnvsMb799lvq169PkyZNKFiwIDExMXh5edG7d2+++uqrGxLLSy+9xOTJk1m0aBHVqlWjYcOGJCQksGrVKipWrEhoaCjffPNNhjnbt2/n73//OyVLlqR+/fqUL1+eP/74g40bN3L06FH8/PwYNmyY2zEEBASwbt06OnbsyMKFC1m0aBH16tUjICAALy8v4uPjiYmJITk5mSpVquCT7rfBEydOZPfu3URFRREQEEDz5s0BWLlyJWfOnKFu3bqMHz8+w/2KFCnCyJEjefXVV+nWrRvjx4/Hz8+PHTt2sH//foYOHco777xz7S/1KoUKFSIkJIT58+dz//33ExwcjK+vL2XKlMm0XL5gwYIMGDCAf/7zn4CqKkVEREQkdziXgauyUkQkSzlVVs4Bbk/3fVaf2XkVoEhemj17NsOHD6dcuXKsWLGCrVu3EhISwtatW7PsNp0XAgIC2LZtG0899RTWWhYuXEhsbCx9+/Zl/fr1lCxZMtOcdu3a8eabb1K/fn327t3L3LlzWbNmDX5+fvzf//0f27dv96iyEqB69eps376dqVOnEhoayokTJ/j222+JjIzk2LFjhIaGMn36dPbs2ZNhT80yZcqwfv16Ro0axZ133smSJUtYsmQJFStWZPTo0axdu9blfo//+Mc/mDRpEnXq1CEmJoYffviBqlWrEh0dTdu2bT1/kTkIDw/nueeeIzk5mVmzZjFp0iRmzpzpcuzDDz8MQOnSpenSpUuuxyIiIiIifz02MS1ZqW7gIiJZMld3F5bcFxQUZGNiYtwaGxsbS82aNfM4IhHJyd///nc+/PBDhg4dSlhYWH6H4xH9OSIiIiJyczo7dx5HR4yg2g/LKZSu+aSIyF+NMWaLtdblfmtu7VlpjClkjPnaGFM1d0MTEbn5HDx4kPDwcLy9vXnhhRfyOxwRERERuUXYpNR937VnpYhI1txKVlprLwOPACrDFJFb1vDhw+nevTtBQUFcvHiRIUOGuOzQLiIiIiJyLbRnpYhIztzuBg7MA7JtsiMi8mc2c+ZMpk+fTsGCBRk2bBijR4/O75BERERE5BaSkqhu4CIiOcm2G/hVDgCvG2OaADHAxfQnrbX/yc3ARERutLi4uPwOQURERERuYc7KSiUrRUSy5EmyshdwBqiT9knPAkpWioiIiIiIiGTBJiZCoUIYL08WOYqI/LW4nay01lbJy0BEREREREREbmU2KQkvVVWKiGTLrWSlMaYh0D5t/A/W2mV5GpWIiIiIiIjILSYlKVFLwEVEcpBjstIY0wGYDSQCl4F/GGNesdZ+mNfBiYiIiIiIiNwqbFKSkpUiIjlwZ6OMfwIRQElr7W3Am8DreRmUiIiIiIiIyK3GJiZhfHzyOwwRkZuaO8nK6sA71toraT+/C9xmjCmTd2GJiIiIiIiI3FpSKysL5XcYIiI3NXeSlcWAs44frLWJQAJQ4lpuaIypbowZYoyZaozZbYxJMcZYY8wTbsztaoxZY4w5Z4y5YIyJMcYMMsZk+xzGmDbGmGXGmNPGmD+MMTuNMSOMMdn+SssY09AYM98Y87sx5pIx5ldjzDvGmJKePreIiIiIiIj8tdnERLy8VVkpIpIdd7uBhxhjzqX72QtobYw57jhgrZ3n5rUGAEPcHOtkjBkPDAQuAT+Qun9mK+AToJUx5glrbYqLeUOBMCAZiALOAM2At4HHjPl/7N13eBRV28Dh3+xmN3XTSCOkQeCjI11KhKAIKIKCoiJSxAYiWFHRV15FRcSKBVRUiqIUfSkKCqIEIQFCQCkCSksoIRBIQnp2NzvfH5OEhLTdEAjlua9rrpmdOefMmd0kkCfnnEe5SVXV3ArqDQW+BvRALHAc6AJMBAYpitJdVdVTjj6HEEIIIYQQQohrk2qRNSuFEKI69gYrv6zg3CeljlW0oJ49dqNNJU8AthW13bOqCoqi3IkWqEwBeqiqur/ofCCwDhgEjAdmnFevIzANyAVuVFV1S9F5D2Al0AN4A3jqvHohRf1SgDtUVV1edN4J+Aa4B/is6L5CCCGEEEIIIUS1bLJmpRBCVKvaaeCqqurs2OwNVKKq6heqqj6nqupiVVUP2lltUtH++eJAZVFbJ9FGagK8UMF08BfQAo5vFQcqi+plAw8ANuAxRVG8z6v3JOAKzCsOVBbVswKPAJnAHYqitLCz/0IIIYQQQgghrnGSDVwIIapnz5qVDlEUZaWiKPVrsb0QoANgBpacf11V1fVoU7SD0KZpF9czArcUvVxQQb1DwCbACNx63uU7qqiXCfx4XjlxCe3bt48xY8bQtGlT3NzccHV1JSwsjG7duvHMM8/w66+/lqsTERGBoigkJiZe+g7XkdjYWB555BGaN2+Ol5cXRqORoKAgevfuzbvvvsupU7KKgRBCCCGEEJeSWlCA4izBSiGEqEqtByvRpla71mJ77Yr2f6uqmldJma3nlQUti7kbkFbFCM5y9RRF8QQiz7tuz/3EJbBo0SKuu+46PvvsM3JycoiOjmbw4ME0a9aMf//9l/fee49JkyZV39BVLDs7myFDhhAVFcXs2bMpKCggOjqau+66ixYtWrBp0yaeffZZIiMj2bJlS/UNXmauxcCzEEIIIYS4OqhmMzoZWSmEEFWyd83KutSwaJ9URZkj55UtfXyEylVUL6Jon1E0itLeeuIiS0lJYfTo0ZjNZt5//33Gjx+PXn9uBQKbzcbGjRvZuHFjubq//fYbFouFBg0aXMouX3Jms5m+ffsSFxdHs2bN+Pzzz7nhhhvKlCkoKGDevHn897//5cSJE3XUUyGEEEIIIa49NnMBimQDF0KIKl0JwUqPon1OFWWyi/amOqwnLrKffvqJ3NxcunbtypNPPlnuuk6no0ePHvTo0aPctcjIyHLnrkZTpkwhLi6OiIgIYmNj8fX1LVfG2dmZRx55hNtvv52MjIw66KUQQgghhBDXJtVskTUrhRCiGhdjGrgAFEV5RFGUBEVRElJTU+u6O1eF4jUWAwICHK5b1dRhVVVZuHAhffr0wc/PD2dnZ8LCwnj44YcrLB8TE4OiKERHR5Obm8t//vMfmjVrhqurK23btgXglVdeQVEUXnnlFZKSknjggQcICQnBycmpJNBqsVj4+uuvGTp0KE2bNsVkMuHm5kaLFi14/vnnSUtLc+gZMzMz+fDDDwF47733KgxUlhYYGEjTpk3LvRdff/010dHR+Pj44OLiQmRkJOPGjePo0aPl2khMTERRFCIiIiq9j6IoKIpS5flFixbRtWtXPDw8MJlM3HTTTeVGyM6dOxdFUUhK0gZZN2zYsKSN4s/2tddeQ1EUxowZU2l/fvzxRxRFoXPnzpWWEUIIIYQQ4mLQ1qyUkZVCCFGVKyFYWTyK0b2KMsWjIbPqsF4Zqqp+rqpqR1VVO/r7+1fRlLBXWFgYoE3p3r17d620abFYuOuuuxg6dCgbN26kRYsWDBw4EHd3d7744gvat29PQkJChXXz8/OJjo5mxowZREZGMnDgQBo2LLsywP79+2nXrh2rV6+ma9euDBgwAG9vLfn8yZMnGTFiBKtXr6ZevXrceuut9OzZk9TUVKZPn06nTp04ffq03c+ybt06srKy8Pb2ZuDAgQ6/F6qqcv/99zNixAji4uLo1KkTd9xxB6qqMnPmTNq2bcvWrZUt41pzkydP5r777sNoNNK/f39CQkL4/fffuemmm9i0aVNJucaNGzNy5Ejc3bVvzTvvvJORI0eWbB4eHjzyyCMYjUYWLFhAZmbFqzh88sknAIwbN67Wn0UIIYQQQoiqaNnADXXdDSGEuKxdCdPAE4v24VWUCT2vbOnjMAfrFa+N6a0oimcl61ZWVO+SePXHv9mTXNlSmpenFsGe/HdAywtu5/bbbyc4OJjk5GTatWtHnz596NmzJ+3bt6dTp054eXk53ObLL7/M//73P3r06MGCBQsICQkpufbxxx8zfvx47r33Xvbt24eTU9lvly1bttC2bVsOHDhAYGBghe1/++23jBo1is8++wzjedM9vLy8WLFiBf369cNgOPcflry8PMaNG8ecOXN4+eWXmTVrll3Psm3bNgDat29fZi1Pe82aNYtvv/2WwMBAfvvtN1q21D6zwsJCnnrqKT766COGDBnCahW5JQAAIABJREFUP//8g3Mt/jX4k08+IT4+ng4dOgDa2qNjxoxh9uzZTJ48uSS7e1RUFFFRUcTExJCTk8M777xT4YjOu+++m2+++Yb58+fz+OOPl7l24MAB1qxZQ7169bjnnntq7RmEEEIIIYSojqqqqAUF6GRkpRCiGpZCC8ezjxPoHoirU23msL4y2D2yUlGUHoqilAtuKoripChK6UUCpwKOzV+t2p9F+5aKolT2CXU6ryzAPiAP8FUUpbIFC4vngZbUU1X1LFCcPbxTuRqV1BMXn8lkYu3atXTs2BGr1cqqVat4/vnnufnmm/H19aV79+4sWrTI7vbS0tL48MMP8fDwYMmSJWUClQCPP/44/fv35+DBg/z8888VtvHJJ59UGqgEqFevHh9++GG5QGXx8wwYMKBMoBLA1dWVjz/+GCcnJ3744Qe7n6d4uYGaTJMHePfddwF47bXXSgKVAHq9nnfeeYewsDCSkpL4/vvva9R+ZV599dWSQCVoa4++9tprAGzYsAGLxeJQe+PHjweoMMg7a9YsVFVl9OjRuLi4XECvhRBCCCGEcFDR/2tlzUohBECuJZd/0v7ht6TfmLN7DlM2TeGhNQ/R74d+dFzQkQHLBrAzdWddd7NOODKych1QHzh13nmvomt6AFVV36ydrmlUVT2qKMp2oD0wBJhf+rqiKD2BECAF2FSqnllRlJ+BwcAwYMp59RoBXQEzsPK82y4Hni6q99t59TyBAUUvl17Is9VEbYxQvJI1b96crVu3EhcXx8qVK9myZQvbt28nPT2duLg44uLi+Pnnn5k7d261ba1bt468vDz69+9faYCvZ8+erFy5kk2bNjFgwIAy1wIDA+nWrVuV9+jduzcmU9V5mP78809+++03EhMTycnJQVVVAIxGI6mpqaSnp+Pj41Pt81yIY8eOcejQIXQ6HcOHDy933Wg0MmzYMN58801iYmIYNmxYrd37tttuK3cuMDAQHx8f0tPTOXPmDEFBQXa317lzZzp37kx8fDwxMTFER0cD2ojVuXPnotPpGDt2bG11XwghhBBCCLvYzMXBShlZKcS1xGKzcPjsYf5J+4d/0v5hX/o+DmYc5HRe2WXfvJ29CTWF0sa/Dbc1uo1QUyiNvBrVUa/rliPBSgVQKzhfj6ozZ9eGN4ElwFuKosSpqnoAQFGUAGBmUZlpqqrazqs3DRgEPK8oyi+qqsYX1fMAvkIbWTpTVdXzUyJ/AIwFRiqKskxV1RVF9ZyAzwBPYJmqqntq+0GFfbp161YSKLTZbGzevJlXX32VNWvWMG/ePPr378+QIUOqbOPQoUMArFy5ssIEMKVVlCQpPLyqlQmqL5Odnc2wYcNYsWJFlW1kZmbaFawsXhu1OBGRI44fPw5A/fr1Kx1x2KhRozJla0vxWqTn8/T0JD09nfz8fIfbnDBhAvfffz8zZ84sCVYuXLiQtLQ0+vfvX25tUSGEEEIIIS421VwAyMhKIa5mOZYc9qXtY1/aPi0wmbaPAxkHsNi0P1Y4651p7N2YqAZRhJnCCPUMJdSkbZ5Gzzru/eWj2mCloijFkRQV+EZRlIJSl/VAKyDO3hsqitKecwFGgBZF+6mKojxbfFJV1S6ljr9XFGUWWgBxl6IoawELcBNFgUPg4/PvparqVkVRXgDeAuIURfkdyAB6AgHAFuClCuodVRTlQeBrYJmiKBuBZKAL2tqZB4BH7X1mcXHpdDq6devGqlWr6Ny5M9u3b2fZsmXVBisLCwsBaNq0KV26dKmy7PXXX1/unKtr9etGVFVm0qRJrFixghYtWjBt2jQ6duyIn59fybTw4OBgTpw4UTLSsjrFU6m3b99OYWFhjdatrC5o6yib7fy/H5Sn09V+nq8hQ4bwzDPPsGzZMk6cOEH9+vWZOVP7sfPYY4/V+v2EEEIIIYSojmo2A6A4S7BSiKtFpjmT7Se3k5CSQMLJBPam7cVWNI7O18WXpj5Nub/5/TT1bUoz32aEe4bjpLsS0sfULXveoTNFewVIR1sHspgZ2AjMduCenkD5yA80qaqSqqqPFQUNx6EFG/Vo61J+BcyqYFRlcb3piqLsBJ5BW4PSBTgEfAi8o6pqQSX1vlMU5RAwCehe1OejwNvAG0VrW4rLiF6v58Ybb2T79u0VjoQ8X2ioliepdevWdk0br21LliwBYNGiRbRq1arMtZycHFJSUhxqr1evXnh4eJCRkcGKFSsYNGiQ3XUbNGgAQHJyMgUFBRUm0CkeiVpcFihZizM7O7vCdpOSkio8f7EZjUYeffRRpkyZwuzZs+nXrx8JCQk0atSIfv361UmfhBBCCCHEtU0t0H711MnISiGuWBn5GWw7uY2Ek1pw8p+0f1BRMegMtPFvw8OtH6aNfxua+zbHz9Wv1gcEXSuqDVaqqvoAgKIoiWjBvQua8q2qagxa4LMmdb8Fvq1BvV+AX2pQbwtwh6P1xMWhqmq13+hHjhwBKJcspyK9e/fGYDCwdu1aMjIy8Pb2rpV+2istTctDVRw0Le3bb7+1e0RlMU9PT8aPH8+bb77JM888Q8+ePfH19a20/KlTp0hPT6dp06aEhITQqFEjDh06xDfffMODDz5YpqzFYmHBggUAJdOqQZt6bjQaOXPmDKmpqSVT0YutWrXKoWewR3GA1Gq1VlluzJgxvPnmm3z++ef8+++/AIwdO/aijOQUQgghhBCiOudGVsqalUJczlRVJaMgg6TMJBIzE0nKTCIpM4lDGYc4eFbLx+yid+E6/+sY23YsHQM70sa/Dc56+d6uLXb/1q6q6qsXGqgU4kLMnDmTBx54gPj4+HLXrFYrs2fPLslUfc8991TbXmBgIOPGjSMjI4OBAweyb9++cmVycnL49ttvOXny5IU/wHmaNWsGUDI9uVhCQgKTJk2qUZv//e9/uf766zl8+DBRUVFs3LixXBmz2cxXX31Fu3bt2Lt3b8n5p59+GoCXX365zHtRWFjIc889x5EjRwgPD+euu+4quWYwGLjhhhtK7l06wLpx40YmT55co+eoSvHIztJ9r0j9+vW58847OX78OAsWLMDFxYXRo0fXen+EEEIIIYSwh62gKFgpIyuFuCxYbBYOZRxiTeIaPt3xKZM2TOK+lffRfWF3eizqwfCfh/Ny7MvM3T2X/en7CTGFML7deObfMp+4oXF80fcLxl43lk5BnSRQWcvsniivKIov8AbaOpEBnBfoVFVVVgIVF5XFYmHu3LnMnTuXoKAg2rZti6+vL2lpaezcuZPk5GQAnnvuOfr27WtXm9OnTyc5OZnFixfTqlUr2rZtS6NGjVAUhcTERHbs2EFBQQF79+4lMDCwVp9n8uTJDBkyhBdffJFFixbRvHlzkpOT2bhxI/feey+xsbEOT6N2dnbm119/ZcSIESxbtowbbriBRo0a0bp1a9zc3Dh58iTx8fFkZ2fj6elJcHBwSd3HHnuM2NhYvvvuO6677jqio6Px9fUlPj6eQ4cO4ePjw5IlS8pNEZ8yZQobNmxg1qxZxMTE0LJlS5KSkti2bRsvvvgir7/+eq28X8UGDRpUkpG8T58+JSNi33rrLerVq1em7IQJE1i4cCEA9957b5UjTYUQQgghhLiYSkZWGiRYKcSlZLVZOZJ1hIMZBzmQcYBDGYc4kHGAxMxErLZzM/bqu9cn3DOcWxveSrhnOOGe4UR4RlDfoz4GnaEOn+Da48iqnl8C7YDP0ZLNODZHVYgL9OCDDxIREcHatWuJj49n165dnDp1CoPBQEhICCNHjuShhx4iKirK7jYNBgOLFi3i/vvv58svvyQ+Pp6dO3diMpmoX78+Q4cO5fbbbycyMrLWn+euu+5i3bp1TJkyhR07dnDgwAGaNGnCBx98wLhx40qybzvKZDKxdOlSNmzYwLx589iwYQO///47+fn5+Pr60qVLF/r378/w4cPLBPcURWHBggXccsstzJ49my1btpCXl0dwcDBjx45l0qRJFU5Z79atG7/99huvvPIKW7ZsISkpiZYtWzJ//nyGDRtW68HKxx9/nMzMTBYsWMBPP/1EQdHaP//5z3/KBSs7d+6Mp6cnmZmZjBs3rlb7IYQQQgghhCNKsoFLgh0hap2qqpzJP0NSZhJHMo+Umb6dlJlUko0boIFHAxp7N6ZHSA8aezcm0juShl4NcXWqPomuuDQUe9fFUxQlE7i5aB1H4YCOHTuqCQkJdpXdu3cvzZs3v8g9EuLasHz5cu644w46d+7Mli3Xzo8u+TkihBBCCHH5yf7jD44+8igRC7/DtW3buu6OEFesHEsOO1N3sjN1J4fOHioJSGZbziV+ddI5EWYKI8wzjIZeDc8FJT0b4mZwq8Pei2KKomxTVbVjRdccGVl5Cqg45a8QQlxmrFYrr732GnBuPU4hhBBCCCHqiq2geGSlrG0nhL1UVeVY9jH+OvUXO1J38Nepv9ifsR+bakNBIdgjmHDPcAZEDiiZuh3uGU599/o46RwJeYnLiSOf3EvAFEVRRqqqKkFLIcRlac6cOfzxxx/Ex8ezZ88err/+eu6+++667pYQQgghhLjGlaxZKQl2hKiU1WZl75m9bDu5jb9S/+KvU39xJv8MAO4Gd9r4teHRNo/S1r8trf1bYzKa6rjH4mJwJFj5HyACOKUoShJgKX1RVdU2tdgvIYSokfXr1zNv3jx8fHy4++67+eCDD1AUpa67JYQQQgghrnFqcTZwGVkpRAlLoYW/z/xNwskEElIS+PPUn+RacwEINYXSLbgbbQPacp3/dTT2boxep6/jHotLwZFg5fcXrRdCCFFLijPGCyGEEEIIcTmRbODiWqaqKnnWPHKtuSSeTdSCkycT2HFqB/mF+QA09m7MgMgBdAzqSMfAjvi5+tVxr0VdsTtYqarqqxezI0IIIYQQQgghxNWqOBu4TrKBiyuQudDM2YKzZJozOVtwtuyx+SyZBZmcNZ8lx5JDjiWHXEsuudZcci255FhyyLPmoXIuwbOCwv/5/B93/t+ddAzsSIfADvi4+NThE4rLiUOrjSqK4gLcBkQCn6mqmqEoSiSQrqpq2sXooBBCCCGEEEIIcaWTNSvF5c5is5CcnUxSZhKJZxO1LNtZWqbtlJyUSuspKJiMJjyNnpiMJtwMbvi7+ePm5Ia7wR03g1vJsbvBnQC3ANoFtMPL2esSPp24ktgdrFQUpTGwFvAAvIElQAYwtuj1Qxejg0IIIYQQQgghxJWuJBu4BCvFZeJ03mlWHVpFfEo8SZlJHMs6hlW1llw3GU009GxIp8BOhHqG4uvsi5ezF55GT23v7FkSoNQpujp8EnG1cWRk5QfAGrTgZEap8yuAObXZKSGEEEIIIYQQ4mqimi2g16M4OTTBUYhalWfNY92Rdaw4tIJNyZuwqTYaeTWiiU8Tbg6/mXDP8JLN29lbkpWKOuHIT8luQBdVVQvP+2I9AgTXaq+EEEIIIYQQQoiriFpQIJnARZ2wqTYSUhJYcXAFa4+sJceSQ5B7EKNbjWZAowE08m5U110UogxH/6RjqOBcGHC2FvoihBBCCCGEEEJclVSzGZ2hol+phagZq82KudCsbTYzBYUFJa8LCgvIL8xnc/JmVh5eSUpOCu4Gd24Ov5kBjbSM2zJ1W1yuHAlWrgGeBh4seq0qiuIJvAqsrO2OCSGEEEIIIYQQVwubWUZWipqz2qzsObOH+JR44k/E81fqX+RZ86qtp1f0dA3uytMdniY6NBpXJ9ca3T87vQA3TwM6vQQ4xcXnSLDyaWCdoij/AC7AIqAxcBK4+yL0TQghhBBCCCGEuCqoZrMk17mG5VnzyMjPoFAtxGQ04W5wx0lXeUjGptr4J+0fLTiZEs+2k9vIseQA0Ni7MbdH3k4913o4650x6o0Y9UbtWGcseW3UGWnk3Qg/Vz+H+6uqKmeOZ3N4x2kSd57mVFIWg55pR3ATnxq/B0LYy+5gpaqqyYqitAWGAu0BHfA5sEBV1erD+UIIIYQQQgghxDVKLTDLyMorSLY5m+PZxzmWfYzU3FRsqq3K8ioqWeYsMgoySM9PJz0/XTsuSCcjP4P8wvxydVydXDEZTHgYPTAZi/YGEwWFBWw/tZ2zBdqKexGeEdza8FY61+9Mp8BO1HOtd1GeudBqI3l/Bod3nObwzlSy0wpAgaCGnnS5oxGefjUblSmEoxxas7IoKPlV0SaEEEIIIYQQQgg7yMjKy4u50Myx7GMcyzrG8ezjJGcna8HJoteZ5swatWsymPB28cbH2Qd/N3+a+DTB18UXb2dvfFx80Ck6ss3ZZFmyyDJnkW3OJtuSTZY5i7P5ZzmedRyAXqG96BzUmc5BnQl0D6zNRy8jP8fCkb/PcHjnaY7sPoM5vxAng46Q5r506t+QiNZ+uHnK1624tBwKViqKEgh0BwLQRlaWUFV1Zi32S4hK7du3jw8++IB169Zx9OhRVFXF39+fkJAQunbtSr9+/bj55pvL1ImIiCApKYnDhw8TERFRo/vGxMTQq1cvevbsSUxMjF115s6dywMPPMDIkSOZO3duje57udu1axezZ88mJiaGo0ePkp2djZeXF82bN6d3796MGjWK8PDwuu6mEEIIIYQQdUotKEAnwcpLKseSw9GsoxzJPMLRrKNltpScFFTUkrJGnZFgj2AamBrQxr8NDTwalGyB7oHoFX219/MweGDQX1lJlOJ/PMyumGO4ehpp3CGAiOv8CWnmg8FY/fMKcbHYHaxUFOV+4AtAAdKh1He1dizBSnHRLVq0iBEjRmA2m2nQoAHR0dH4+PiQmprK9u3b2bRpE+vXry8XrBS1z2Kx8NRTTzFz5kxUVaV+/fp0794dT09PTp8+zdatW9m4cSNTp05l4cKFDBo0qK677JDo6GjWr1/PunXriI6OruvuCCGEEEKIK5yMrHRcljmL5OxkUnJSOJFzQtuyT3Ay9yTmQjNW1YrVpm0Wm6XkuPh88RqPxXxdfAkxhdA+sD1hpjBCTaGEmEJo4NEAP1e/azI7duvoBvxf50ACIzxRdEpdd0cIwLGRlW8A04EpqqpaL1J/hKhUSkoKo0ePxmw28/777zN+/Hj0+nN/7bHZbGzcuJGNGzeWq/vbb79hsVho0KDBpewygwYNokuXLnh5eV3S+14Kw4YNY8mSJdSvX59PP/2UgQMHlrlutVpZunQpL774IklJSXXUSyGEEEIIIS4PNrMZvadnXXejTpzOO81PB3/iWPYxbKqt/IYNm03b51pyOZFzgpScFLIt2WXaMegMBLkHEeAWgJeLFwbFgJPOqWTTK/qSY4POgJ+rH6Gm0JLNw+hRR+/A5csnyL2uuyBEOY4EKz2BuRKoFHXlp59+Ijc3l65du/Lkk0+Wu67T6ejRowc9evQody0yMvJSdLEcLy+vqzJQ+cUXX7BkyRK8vb2JjY2lYcOG5co4OTkxZMgQbrnlFvbv318HvRRCCCGEEOLyca2NrCy0FRKbHMv/9v+P9UfXY1WteDt7o1N0ZTa9okdBQa/T9q5OroSaQukc1Jn67vWp71Ff27vXp55rvWty9KMQ1xpHgpULgP7ARxepL0JU6dSpUwAEBAQ4XLeyNSszMjKYPn06y5cv5/Dhw9hsNvz8/GjcuDF9+/Zl0qRJdrV/7Ngx+vfvz86dOxkzZgwff/wxer2+wjUrv/76a0aMGEHfvn355ZdfKmxv165dtGnThuDgYJKSknByOvetGhcXx7vvvktsbCxpaWn4+voSFRXFs88+S5cuXex+9mKOTndWVZWpU6cCMHny5AoDlaV5eHjQrl27cudXrlzJxx9/zNatW8nMzCQwMJAbb7yRF154gebNm5crryhKyf0rUtlzlj6/f/9+pk2bRkJCAhaLhTZt2vDiiy+WGRVavDZpsdLHQMlaqRfyGQohhBBCiGuPajajONd9sDLXksvBjIPsz9jPydyT5FpyybHkkGvV9nmWvDKvFUWhuW9z2vi3oY1fG1r6tcTdUPlovBPZJ1h6YClLDywlJScFXxdfhrcYzuAmg4nwirh0D1rLVFXFUlCIOa8Qc54Vc76VgjyrdpynHVsLCrGabVjNhVgs2t5aUIil6JzVbKNeA3duHt2yrh9HiMuaI789Pw0sUxTlJmAXYCl9UVXVKbXZMSHOFxYWBmhTunfv3k2rVq0uqL3c3Fy6d+/Onj17CAgIoHfv3ri7u3PixAn27NnD5s2b7QpW7tq1i1tvvZXjx48zderUauvcfffdPPvss6xZs4aDBw9WOOrzk08+AeCRRx4pE+SaNWsWjz/+ODabjU6dOnHjjTdy4MABfvjhB5YuXcqnn37Kww8/7OA74ZidO3dy+PBhFEVhxIgRNWpj0qRJTJs2DZ1OR1RUFA0aNGDnzp3Mnz+fxYsX8/3339O/f/9a7feXX37JG2+8QadOnbj11lv5559/2LJlC3fccQeLFy/mrrvuAiAoKIiRI0fyyy+/cPLkSfr27UtQUFBJO0FBQXTt2rXGn6EQQgghhLg2XeoEO4W2Qo5mHeXf9H/Zn7Gf/en7+Tf9X45lHSuTWMZF74KbwQ03JzfcDe64G9zxcvEi2CkYd4M7ZpuZv0//zbqj6wDQKToivSNp49eGNv5taO3XmnDPcP449gc/7P+B2OOxAHQN7srEjhPpFdrrskk6YzEXcuZYNqlHsjh1JIvUI1nkZBRUW0+1qZjzC1FtFQ+cKM3JoMPJqMfJeG5vMOoxuuhx8zTi6edaG48ixFXNkd+gHwX6AaeBxpRPsCPBykvh5xcgZVdd98IxQa3hlmkX3Mztt99OcHAwycnJtGvXjj59+tCzZ0/at29Pp06dHJ5u/f3337Nnzx769+/PsmXLygSUCgsLWb9+fbVtrF27ljvvvJP8/Hy+/vprhg0bVm0dZ2dnHnnkEV5//XVmzZrFO++8U+Z6ZmYmCxYswGAw8Mgjj5Sc37FjBxMmTABg8eLFDBkypOTawoULGTZsGOPGjaNr164XHMityrZt2wBo2LAh9erVc7j+qlWrmDZtGu7u7qxatarMtP23336b5557jmHDhvHvv//WaBRtZaZPn86qVavo169fybnXX3+dl19+mUmTJpUEK5s1a8bcuXOJjo7m5MmTvPDCCxWOOK3JZyiEEEIIIa5dtTUN3GqzklGQwZm8M9qWf4a0/LSS1xmZWWSdzSP17GlsFnCyGTHYnAk0BtHZpQ+3GYOo5+SPt94XF9xQC6Ewv5BCq0qhxUah1YbVYsNWtDe66HmoZwh+LYzsTtvNztSd7Dy9k1+TfuWH/T8AWgDTptoIcA3g4TYPM7jJYBp4XNp8AaWpqkpBrpW0EzmkJmWRelQLTKafyKF4oparyYB/mIn6jby0NMJVUBQFo4seo6sTRlcnnN2K9q5OGF2cis7rMRj1kqRGiFrgSLDyZeAZVVXfv1idEaIqJpOJtWvXMmLECBISEli1ahWrVq0CtPUqu3TpwoQJE7jnnnvsau/kyZMA9O7du9zIN71ez4033lhl/fnz5/PQQw/h5ubGL7/8Um66cFXGjBnDtGnTmDNnDq+//jouLi4l1+bNm0d2djZDhgyhfv36Jec//PBDrFYr9913X5lAJcC9997LsmXLWLRoETNmzGD27Nl298VRqampQM2m4wO8++67ADzxxBPl1hedOHEi//vf/9i8eTOzZ8/mpZdeurDOljJ+/PgygUqA5557jnfeeYcDBw5w5MiRktG79qjJZyiEEEIIIa5dNrMZxehc4/p/n/6br7d9x4HdybiYPXA1m3C1aJubxYSbpSFB1tYEq/oq21HRRiCl6TPQGzJxMujQOxVtBt251wYdRlcnMk7lsnr2bnyC3OjQL5Ixnbqh0+tQVZWkzCR2nt7JgfQDdAjsQPcG3XHS1f6sIlVVMedZyTlrJvdsAbmZZvKyLOTnWMjLtpCfXfZ1QbYFW6lRkG6eRvzDTTRq549/qImAcBPu3s4lS00JIS4vjvwU0QMrLlZHhJ1qYYTilax58+Zs3bqVuLg4Vq5cyZYtW9i+fTvp6enExcURFxfHzz//XLI+ZFU6deoEwFtvvYWfnx+33XYb3t7edvWjeEReaGgoq1atcngkY4MGDRg8eDCLFy9m4cKFjBo1quTarFmzABg3blyZOsUjPUuXLW306NEsWrSImJgYh/pyKVmtVmJjtWkhlT3HAw88wObNm4mJianVYOVtt91W7pzRaKRRo0b8+eefJCcnOxSsrMlnKIQQQgghrl01GVlpU238kbiBH3+PQb/fl9CMnoSiBSMVvYrBQ4erpxGTpwseXm64eRpxMxlxNRkwujqVmYZcPC3ZYNSjN+rQ6+1LVGOzqRzcfoptPyexdu5e4n86TLs+4TTvWp8Irwi716EstNjIz7WUrN1oMZ9b3/HcvpCC0kHJs2ZyivZWi61cm4oCLh4GXNwNuHgY8A50IyjSgGvx6wA3/MNNuHvVPEgshLj0HAlWzgGGIdO9xWWgW7dudOvWDQCbzcbmzZt59dVXWbNmDfPmzaN///7lRh+eLzo6umRk3fDhw1EUhWbNmhEVFcWdd95J3759K6wXGxvL+vXrcXV1ZcOGDYSHh9foGSZMmMDixYuZOXNmSaBr3bp17N27l5YtW9KzZ88y5Y8fPw5QaUKbRo0alSl3sfj7+wPnEh454syZMxQUFKDT6Sp93y7Wc1QWiPT09AQgPz/f4TYd/QyFEEIIIcS1Sy0osDvBTr4ln6Ub1rAzNgn/lEY0KrwBxcNKy94htOgcgpe/KwYX/SUZGajTKTTpGEjjDgEk7jpDwqpE1n/7DwmrEml3cxgtbgjGYCw7mjM/20LqsSxOH83mdNE+IyW3zGjHqhhd9Lh7O+PmZSSwoRfuXkbcvJxx9zbi7qmddzUZcXZ1kmnXQlyFHAlWugEPKYrSF9hJ+QQ7E2qzY0LYS6fT0a1bN1atWkXnzp3Zvn07y5YtqzZYCdqoyjFjxrB8+XI2sDaMAAAgAElEQVQ2btxIbGwss2fPZvbs2fTp04eVK1eWmyLesmVL9Ho927dv54knnmDx4sUYa7D2TPfu3WnXrh1bt25l27ZtdOjQoSQpy2OPPVZpvdr+D4nNVv4vlFXp0KEDAIcPH+bMmTM1WrcSLv1z6HT2/eXYETX9DIUQQgghxLVFtVrBZqt2ZGVSUgqrVm8k628d7gXeBOmb4N1cR8+bWhPe1K9OA3OKotCwjR8RretxbG86CT8nsnHJfrb9kkirniGoNpXTR7M4fSyb7PRzSWvcvYz4hZqIaOOHyccZJ2c9TobSIz6Ljp21Y4OLvlzwU4irjs0G+RmQmwa5Z4q206WOi87fNBkCr73s8Y4EK5sDfxYdNzvvmn1/HhHiIipeZ3L79u0l6yrao2HDhjz55JM8+eSTAGzcuJGhQ4eyZs0avvrqq3IJUry9vVm+fDm33HILy5cvZ+DAgSxduhRXV8ezuo0fP57Ro0fzySef8Prrr7N8+XJMJhPDhw8vV7ZBgwYcPHiQQ4cOVZh9+tChQyXlSisOpGZnZ1fYh6SkJIf63KZNGyIiIkhMTGT+/Pk89dRTdtetV68ezs7OFBQUkJiYSJMmTcqVqew5DAYDFouF7OxsPDw8ylyzWCycOHHCoeeoLY58hkIIIYQQ4tqkFmjBO51z5dORv1u4hrQYJ2x4Yws8ScPugfTu2QOjc+2vAXkhFEUhtIUvoS18ST6QwbafE9n602EUnYJPkBvBTbzxCzHhF+JBvRAP3DwvXQZ0IeqMqkJeOpw9BtmnSgUdSwch08oGI9XCittycgE3P3DzBXPOpX2Oy4TdP/VUVbU/e4gQF4GqqtWOxjty5AgAISEhNb5PVFQUo0aN4vXXX2fHjh0VlvHy8mLNmjUMHDiQ1atXc+utt/Ljjz+WC6JVZ+jQoUycOJGFCxfi4eGB1WplxIgRmEymcmV79uzJwYMHmT9/PjfffHO563PmzAEol7m6QYMG7N+/n3379pVbW3P37t0cPXrUoT4risKkSZN49NFHmTJlCnfccUelU9NBC5Lu37+fdu3a4eTkRPfu3fn999+ZP38+r732WrnyxeuNVvQciYmJ7Nu3j44dO5a5tmbNGqxWq0PPUZ3iIG917TryGQohhBBCiGuTzWwGQDFUHrg78mc6hZ42Bo5rR6vw3peqaxckuLE3wePbkp1egIu7tkamEHXOkgeZyee2/LNgs0ChpWhvLfXaqu1RwegORpO2d/YAY9Hm7KGdc3KFnFQtIHn2SNG+aMs4CpYKAouKXgs6utXTApB+/1d07FsUkKwH7vWKzhVtBjdtQdZr2OX1JxohqjBz5kwSEhIYO3YsnTt3LnPNarUyZ84cvv/+ewC7MoIvXbqUevXqERUVVWaKcF5eHmvXrgWocj1KDw8PVq5cyZ133snPP/9Mnz59+Pnnn/Hy8rL7mVxcXHj44YeZNm0aH330EVD59OEJEyYwf/58vvvuOwYPHsygQYNKri1ZsoTFixdjMBiYMKHsigw33XQTMTExTJ8+nT59+pSs0Xj06FFGjRqFqjo+MPrhhx/ml19+YenSpURFRfHpp58yYMCAMmUKCwtZsWIFL7zwAmPHjqVdu3YAPP300/z+++988MEH9OvXj+7du5fUee+999i0aRNeXl489NBD5Z7jyy+/ZMqUKXz//fclwcS///6b8ePHO/wM1Ske2bl371569678P4uOfIZCCCGEEOLapBYHKysZWZmbn4drpg9q6zO0Cj9/IuPlz8NHEtiIWlSQrY0+tBaANV/bF5Y6LtnyIDsVMo9D1omi4ORxbYRjdRQ96A2gM4DeCVC0UYyFBdVWLeHmB96h4NcEIm8ErxBtM9U/F5B09oKLsCTZ1c7uYKWiKC7AE8BNQABQ5t1WVbVN7XZNiLIsFgtz585l7ty5BAUF0bZtW3x9fUlLS2Pnzp0kJycD8Nxzz1WaHKe09evXM2PGDPz9/WnXrh3+/v6cPXuWuLg40tLSaNasGY8++miVbbi6urJs2TLuvfdeli5dyk033cTq1asdWsfxscce4+2336awsJDo6GhatGhRYbnrrruOGTNm8PjjjzN48GCuv/56IiMjOXDgAPHx8eh0Oj7++GNat25dpt64ceP4/PPP2bp1K02bNqVr165kZGQQHx9P586d6datG3FxcXb3F7TRlYsWLWLChAl89tlnDBw4kODgYDp06IDJZOLMmTPEx8eTnp6Os7NzmZGX/fv35/nnn+ett96iR48e3HDDDQQHB7Nr1y52796Ni4sL33zzDYGBgWXuOWnSJJYsWcKPP/5I06ZN6dChAykpKWzdupW7774bm83m8JT2qgwaNIi5c+cyceJEfv31VwICAgCYOHEiTZs2LVPW3s9QCCGEEEJcm0qClZWsWbl939/oVSeCGwVcym4JUbtshdqoxjLBRbO2LzSfe11wFnJOa9Olc06VP7bkOnZfd38tQOgVCqHXg2dwqa0BuHhrAUmdAfRG0DlVHkAstIA5WwuYmnOKjrO0Y0ueNgrSKwy8GoDB8aXghH0cGVk5ExgELAHikHUqxSX24IMPEhERwdq1a4mPj2fXrl2cOnUKg8FASEgII0eO5KGHHiIqKsqu9kaNGoWLiwsbN25k9+7dnD59Gm9vbxo3bszQoUN58MEH7ZrKazQaWbx4MSNHjuTbb7+lV69e/Prrr+WCbZUJDQ2lWbNm/P3334wbN67Kso899hjXXXcd7777LrGxsWzbtg1fX18GDx7Ms88+S9euXcvV8fHxITY2lkmTJrF69WpWrlxJeHg4EydOZNKkSfTp08eufp7PYDAwa9YsxowZwxdffEFMTAx//PEHOTk5eHl50apVK/r27cvIkSPLTcufNm0aUVFRfPzxx2zdupW4uDgCAgIYPnw4L7zwQoXBvsjISGJjY3nppZf4448/WLlyJY0bN+btt99m/PjxVU5Fr4mBAwcyc+ZMPvvsM9auXUteXh4A999/f7lgpSOfoRBCCCGEuPacW7Oy4mDl3n2HgXq0a3nljaoUV7D8TDjxlzaF2clZC+Q5uWjHxZu+aK/TQ84ZbQRjdgpknTy3zzoB2Se1KdKqAwlcFT24+4F7gLavF6kFHt39tddOLmX7o3cu3zd3P+24tugN4OqjbaLOKPZOAVUUJQ24W1XVtRe3S1efjh07qgkJCXaV3bt3L82bN7/IPRKXkx07dtC2bVuCg4NJSkoql31cXP4ut89Qfo4IIYQQQlxe8vfs4fDgOwn5+CNMFSwxNHX6V7geCeTJj26tdp1+IWrEkgcpu+D4dkj+E5K3w+n91HwcmlI0ojFI2zwCtb2zSQswVhT4dHLRAozOHlqA0tVHpkhfwxRF2aaqaseKrjnyG3Uu4FgmDiFEtSZPngxoa1LWdZBL1Ix8hkIIIYQQoiq2opGVFa1ZqaoqtlRnbH65EqgU9lFVLZu0OUsLQlpywZx77rhkn6sFJJO3w6m9WjIZ0AKLwe2h9RBtX6+RlnSmsPR6kOdN3bZZtDUaTYHgEaQFKvXyu4+4OBz5ypoOPK0oyhi1Jhk5hBAlVqxYwfLly9m1axdbt24lIiKCxx9/vK67JRwgn6EQQgghhLCXarYAFWcDP5JxFM9sfzyami91t8TFZDVD2kEtSJj6D6TuhVP7tOBf6ZGIpiAt+GcK1NZd9AjSMk9nHi+Vbfpo0VYq+7Q1375+uHhDcDvo/oQWmAxup63lKIFxcRmrMlipKMqK8071APopirIHsJS+oKrqwFrumxBXre3bt/PVV19hMpno168fH3zwAe7u7nXdLeEA+QyFEEIIIYS9VHPxyMrywcqEPbvRqy40biLJda5YOafhyCY4+XdRcHIfnDlwbiQjCvg2BP/mYHSDrBStzKH1WrIZe3gEaZmng1pD01uKEsd4aUleDG4V7N3A4ALOnhKYFFec6kZWnjnv9dKL1REhriWvvPIKr7zySl13Q1wA+QyFEEIIIYS9qsoGfnD/cdyJpHXzxpe6W6Kmsk5C0kZIjIWkWC3wCIACPhEQ0Bya3qrt/ZuC3/9VnjnanFs+YY05WwtGeoVom2dw7SaREeIyV2WwUlXVBy5VR4QQQgghhBBCiKvRuWzg5QNOmcfNOBsK8PaXWTqXhKpqaznmntE2c66WAVrnVLQ3aPvSx5ZcOLIZEjdqwckzB7S2jB4Q1gXa3APh3bVRj0Y3x/pjdAPfRtomrn4LFsBLL8GRIxAWBm+8AcOG1XWvLjt2r1mpKIoOQFW1PPSKogQBtwF7VFWNuzjdE0IIIYQQQgghrmy2SkZW5lpyMaSZ0AdaLl1yHVXVpiGf/hfy0kGnB0UHStFepyv72sUTAltp5S5nhZby6zxmp54LSpbe7F3v8XzOXhDeFdqPhIjuEHSdJJkR51QXiFywAB55BHJztddJSdprKB+wvMaDmo58V60EfgFmKIriASQA7oCHoigPqqo6/2J0UAghhBBCCCGEuJKpBUXByvNGVu5I2YlPbn0CrzPU/k0LLZB2GE7/owUmT+/XEr2c3q9lkXaEqy9E3ghNbobIm8DDv/b7q6pany3nZ7U+P8N1njZNujgwmVGUeCbrBHBeLmAXL3Crp22ewRDUBtx8z51z99OmZxdatWzXhZaifenXVi1oG9LxygjaXunsDdLZU662ythTrqpA5L33wtmz8Nxz564Xy82FZ5+FDh3AzU3bfvwRHn/cvqDmVcqRYGVH4Lmi48FAJtAQGAY8C0iwUgghhBBCCCGEOE9la1bu2LcPvRpGs2YNa+9myX/CymfgxI5SCV4AUzD4NYG2Q7U1FP2agLs/qDawFWr74q3kdaG2huKBtdq2+3tAgeC20KQPNL4ZGrQvH8AryCo7wrE4oJifUXHw0ZIH5hztfvbSG8+t6RjZq+g4tNS+QeXrRIrLk70jD+0p9/XX8OijkJd3rszDD5ctc6H3KyiALl201xMmVByIHDEChg/XgvGVSUmB5s2rfm9yc7Vg6TUSrFTUqt6w0gUVJQ/4P1VVjyqK8g2QpKrqS4qihAF7VVWVBTYq0bFjRzUhIcGusnv37qV5dV+kQghRBfk5IoQQQghxeTnz5Zecevsdmm5LQOd+7lfnlz57h+A/2zP89a54+l1gYM1WCHEfwu+vg3sAXHdvUXKXJlCviTad+4Lat8GJv7Sg5f5f4XiCFtB09YWGN4DVfC44mZ9Rtq7OSQuWutcrlbG6oizWruDkqq3jWNE1g7u2N7pr99XpLuyZRO25kFGMqgoHD2qBvzPn53lG+5xDQs6NPPz7by1QeD4nJ/D1haysc0HKihS3k54OhRUEyF1coG9fMBi0bcUKyMlx7P0obfJkrV+vvVbx8/n7w4wZWkAyN1cLfFZEUbTvw6uEoijbVFXtWNE1R0ZWHgG6K4ryI9AXGFJ03hfIrbSWEEIIIYQQQghxDatoZKVNtZF7wobN2YKpnsuF3eDsMfjfo1qG6ha3w20faNOda5NOp42ibNAeej4HuWlw8HcteJkYC84m8A6FsOtLjW4sGuloCrq006ev8fX+Ljl7RihWVOaBB+DDD7XPKSWl8vZtNrjxxnPBvO3bKy5ntcLgweDhAe+8U3l7jz2mtTNzZsXX8/Ph8GGwWLStqkDld99pX2N33w3Hj5e/Hh4Or76qHfv5lX0PQAuavv8+DB167ty772rvz/nCwirvx1XGkWDle8DXQDaQBPxRdL4HsKuW+yWEEEIIIYQQQlwVbAUFWrDP6dyv4IlnE/HODMI1iAtLrrP7B/jpKW1k5e0zoe192gisi83NF1rfpW214VKsHSgBy4vjpZcqnwL9/PPa135ycvlRjBYLbNsG99wDN9wAU6bAiRPl2w8Phzlzzr2OiKg4mBceDrNmacdLllRe5u23teOVKysvs2OHffe7917t+K23Kg5EvvHGudfFX3/VfZ2/8Ub1bV3l7B4zrarqZ0BXYDQQVZwVHDgIvHwR+iaEEEIIIYQQQlzxVLMFxWgsE5T8M/kvfPLqE9LIr2aN5mfC0jHw/WhtmveYDdBumH2BygULtACMTqftFyyoWRl7VddWcYAxKUmbElwcYLS33IcfQkwMfPnluVFzpRWv9ycujiNHKj5vs2nTqW+6qeLp1sVlFiyAMWO0IKKbW9nrFQXp3nij+nK1VcbecsOGweefawFMRdH2n39ePhA5bBgkJmrPnZhYcQDd3rauYo6MrERV1QS0LOClz62s1R4JIYQQQgghhBBXEdVsLpdcZ8/+Q/iq7WncJNTxBo9sgf89rK0P2fN56DER9HZmFK/plN3KRifWZKTjQw9pU3kjI+HYMS3YWFGAcfRoLUhTvMbg6tUVl3viieqfu7KAmrhwYWGVjzz88kvteN266qc22zvy0J5ytVXG0XK1FVCszbauQFUm2FEU5Wlgpqqq+UXHlVJV9b3a7tzVQhLsCCEuJfk5IoQQQghxeTnx8mSyYtbxfxs2lJx7/MOXab6nFyOmdsPka+ealblpsOVT+ONtbS3IwbMhrEvZMlUFD1VVO3fsWPm2PTxg0CAt+LdypbZu3/k8PeHllyEwEAICtCm8r79eNpmJs7OW/TgiQpv6O2dO1clOnJy0tQYr07On1qecHNizp/Jya9ZA48YQHV1xYDI8XBvJJmrf+QFp0ILLpUcD2lNGXFMuJMHOeGAekF90XBkVbU1LIS6KmqzhMnLkSObOnWt3+VGjRjFv3jzmzJnDqFGjHL7f1a6goIB58+axYsUK/vrrL06fPo1eryc4OJhOnToxZMgQbr/9dnSSkU8IIYQQQogyVLMZneHcyMqzBWdRUl3BpRAPH+fKK2anQlKstiXGwqm/tfPXDYVbppfP8F1ZEpNPPgGzGf79V8uUXOG9smHDBi2AVFGgEiAzEyZOrPphCwrgiy+0Yx+fygOViqIlJAkI0EZYVjYyLybm3Ouq1g68+WbteOrUa369v0uuNkcxCkE1wUpVVRtWdCzEpTZy5Mhy51JSUli9ejXu7u7cdVf5RZ2joqIuRdeuCfHx8QwZMoQjR47g5OREhw4d6N69O1arlQMHDvDdd9/x3Xff0bFjR7Zu3VrX3XVITEwMvXr1omfPnsSU/o+QEEIIIYQQtcRmLkBxPheU3JG6A7+cULxCyq5jSeaJssHJ0/9o5w3uENoZWg2CRr0gpMLBSPDii+WnSVssEB+vrRs4cqQW0ExPL183PFzLgAyVBwXDwmDXLjh5Utt69NBGa55PUbR+uLhU3Vb9+tqxvQlF7CknQbG6Yc+05Wt8arOwn0NrVgpRVyoaIRkTE8Pq1avx8/NzaASlcExCQgI9e/YkPz+f0aNH8+abbxIQEFCmzJEjR5g6dSqLFy+uo14KIYQQQghx+SpOsFNsx4md+OY2JTwy6FyhdVNh/VvasbOnNr277VAIj4LgttWvSZmQUHWik9WrteMuXaoP+FUWFJw6VZsK7ukJTZpUvlZhWJgWqKyqrZoEGOti7UAhxCVXZbCyunUqS5M1K4W4+lgsFu6++27y8/OZMGECM2bMqLBcWFgYn376Kffdd98l7qEQQgghhBCXP7Wg7MjK/QeO0pQWNGjoq53ITYPYD6FJX+g1CQJbg97OsUVZWdo6kh99pGXbttnKl3E0iYm9QcHaDkTaE2CUQKQQV73qFpcbb+f2+EXsoxA1cubMGf7zn//QunVrPDw8cHd3p3379rz//vtYLJYq6x44cID77ruPwMBAnJ2dadasGW+99Ra2Cv7hT01NZcaMGfTr14+GDRvi4uKCl5cXXbp04ZNPPqGwsLBcncTERBRFISIiApvNxnvvvUfLli1xdXUlJCSEp59+mtyif/DT09N58skniYiIwNnZmSZNmvDeexX/bSApKYk333yTXr16ERoairOzM76+vvTq1Ytvv/3W4fdwwYIFHD58mICAAKZPn15t+R49epQ7d/r0aZ5//nmaNWuGq6srnp6edOnShZkzZ2KtYCHtV155BUVReOWVVyq8x9y5c1EUpdy6oqXPZ2VlMXHiRBo2bIizszMNGjRg7NixpKWllakTHR1Nr169AFi/fj2KopRs0dHRqKpKkyZNUBSFzZs3V/rcd955J4qiMHPmzGreISGEEEIIcS3SsoFrIyOtNisZx7Q1If3DTFqBhK/Amgc3vwrB7ewPVP74I7RsqWXTHjMGPvtMCxaWVtF06mHDtGQzNpu2ryj4Z2+Zzz/XppAriravKGGKPW0JIUQRu9esFOJKsmvXLvr160dycjIhISFER0djs9nYsmULTz/9NCtXrmTVqlUYS03FKPbXX3/xxBNP4OfnR69evTh16hQbNmzghRde4NixY3z00Udlyq9evZonn3ySkJAQmjRpQpcuXUhJSWHTpk1s2bKFX3/9laVLl1aaJOi+++7jp59+Ijo6msaNG/PHH3/w/vvvs3fvXhYsWECXLl3IysoiKiqK9PR01q9fzzPPPEN+fj4vvvhimba+/vprXn75ZSIjI2nWrBndu3fn2LFjbNiwgZiYGDZv3syHH35o9/u4fPlyAO655x6cnatY+LsSBw4c4MYbb+To0aMEBQUxYMAAcnNzWbduHePGjWPp0qX89NNPNWq7MmfPnqV79+4cP36cHj160KpVKzZu3Minn35KfHw8mzdvxmDQ/qPYr18/XFxcWL16NYGBgfTr16+knWbNmqEoCuPGjeOpp55i5syZdOnSpdz9jh8/zooVKzCZTAwfPrzWnkMIIYQQQlw91IICdO7uAOxP349XZhA6N1VLrmMtgPjPIfImCGheeSOls3wHB2vb1q3QqhUsWgRdu2rlXF0v7XqNMtJRCFHLZM3KK8xb8W+xL21fXXfDIc18m/F85+cv2f3y8vK4/fbbSU5O5s033+TZZ5/FyUn7Uk9LS+Oee+5h7dq1TJ06tcLRezNmzOC///0vkydPLsls/ccff9CrVy9mzpzJc889R2hoaEn5Dh06sHnzZq6//voy7Zw4cYJbb72V5cuXs3jxYu65555y90pKSsLl/9l78wA9ijr//1VV3c89MzlmJncgEBLOoFyCijGiooAICugisrq4KIh+WVdQf64K/lD8yq4KrqAo3oJ4sODBoWhABFYgHAENhDPkPieTmefq7qr6/lH9XDPPJJNkgBD6ndTU0d1V1dXV/XS/612fymRYunQpU6dOBWD58uW8+tWv5tZbb2X+/PkcfPDB/OQnPyET23z5/e9/zwknnMBXvvIVzj//fHJNI6fHHnssJ598MgcccEBLOU8++STHHHMM3/zmN3nf+943rK4jYdGiRQAcfvjho9p/KE4//XSWL1/Oqaeeyo9//OP6OSxfvpw3v/nN3H777Vx00UVceumlO5R/O9x4440cd9xx3HPPPRQKBQBWrVrFkUceyYMPPsgvfvEL3he/TH3605/myCOP5LbbbmPfffdta/v0gx/8IP/xH//BL3/5S77+9a8zceLElu3f+c53iKKIM888k46OjjE7jwQJEiRIkCBBggS7D0wYoFLjAbe4Tk9xBj0zC07Q8NgNMLgWbijCP8v2BOPQVb5XrnTu1FPhpz+FZhHGLkIehiakr9LHxvJGNlU2sbGyEWMNeT9Pzss538/Vw3k/jy/9EUUeCRLsjrDWMqgN64OI9UHIhjBifRCxIY5/eEYve+XGTtzzcsF2kZVCiJOATwD7x0lLgK9Za/9nrCuWIMGO4oc//CHPPvssp512Gp/+9Kdbtk2YMIEf/ehH7LnnnnzrW9/iC1/4wrAfw8MPP3xY+hve8AaOPfZYbrnlFhYuXMiZZ55Z37bffu1HP6dMmcJXv/pV3vrWt/KrX/2qLVkJcMUVV9SJSoAZM2ZwxhlncPnll7Ns2TIWLlxYJ/kAjj/+eObNm8fixYt54IEHWqZej0Qq7rPPPnzuc5/j7LPP5le/+tWoycr169cDDFtQZzS46667uP/+++no6ODb3/52yznMmDGDyy+/nLe//e3169C8fWdQKBS45ppr6kQlwNSpUznvvPP41Kc+xZ/+9Kc6WTkadHV1ceaZZ3LVVVdxzTXXcOGFF9a3hWHId7/7XQDOPffcMal/ggQJEiRIkCBBgt0PthrUbVY+snox00pvYsZe3W4l7ZsvgfUW7l3ldl62zBGTzz8PM2bA4sXOHmWlMjzj++5rJSppJQk3VjY2yMI43hyuRBWkkCihEEK0+FLI+raUSpFWaXzpk1ZpUipVd2mVxhMeW4It9fI2VjbSX+3f7nbyhEdnupM733Pndh+b4JUDay3agsGihECNIcFtraVqLIG1VI2hapwfGEvFWEJjCK0lsjjf2Dhu6/GKMZSNpawNZWPqfkk3wgORYX0QsjGMqBjbti4TfMWJveMSsnJrEEL8O/Bl4MfAD+Pko4BrhRCfs9b+59hXL8FQvJgKxZcrbr75ZgBOPfXUttunTp3KPvvswz/+8Q+efPJJ5syZ07L9uOOOazuat++++3LLLbewatWqYduiKOLPf/4z9957L2vWrKFSqWCtZWBgAIClS5e2rYvv+xxzzDHD0mfPng3AYYcdRnd397Dt++yzD4sXL25bl0qlwm233cb999/P+vXrqVargFN6bq0uY40773QvGO94xzuYMGHCsO1ve9vbmDJlCqtXr2bRokW87nWvG5NyDz30UCZPnjwsfd999wVo22bbwnnnncdVV13Fd77zHT75yU/WFbc33HADa9as4Y1vfCP777//NnJJkCBBggQJEiRI8EqFs1npSMXnnlnDdCQ9Mzvh2b9AsALuGUJElkpQM/mUSkEQUEoJlvemWNWdYmOXx8ZOj41dAZvu/GQLETkSSZhRGSZmJzIhM4Ep+Skc2H0gWS+LthpjTYvTVseEkEZbTaADAhMQ6IBSVGJzdTOBDqjqKoEJiExEZ6qTCZkJ7D1ubw7PHM7E7EQmZmIXlyuFpBgWKUdlimGRUlSiGBZb0rQZbvM/wdjBWq5uCGYAACAASURBVMuAdkRZTcE3oDWeEPhC4Evn1+JeHFdCOBJuCAFX1oaytpTicCUm+II60ReTfdaReIGxhMZicISjthaL803sWwsai7GgLVga5KRuw+sJaKlro+4uXSKa8muUV8vTWIisJYhJyrFEWgqyUpJTkqyUZGN/vK+YnUvTk/LoSfn0pDy6fa8en+h7ePKVqzLeHmXlJ4HzrLXfbUr7vhDiPuCLQEJWJtgl8MwzzwAjk5XNWL9+/TCycmbzSnlN6OzsBBwZ2IylS5dy0kknsWTJkhHL2bJlS9v0yZMno5Qall5TBU6fPr3tcbXtQ+ty7733ctppp7FixYrtrks79PT0sHz5ctatWzfqY2pYuXIlALNmjWz6dq+99mL16tX1fccC23v9RoP999+/Pm391ltv5bjjjgOoL6jz0Y9+dAdrmyBBggQJXqnQg0WitWuI1q1DeB6yowNZ6EB1diDzeUSb94OXI6y1yZTOBAmorQaeYkN5A6x3M4p69+iAm78FgwYedQuAbs4rlvemeH5SiuW9aZb/6yksl1tY/syDbOgYvj5uR9kycdMTTMhMYPa42UzITBhGEk7MTGRCdgI5L5fcjy8hBiPN2iAkMJaCp8grSUFJUnJb6x5D1Rj6Q01fpNkcRmyONP2RpmoMoamp+mir8uuPtCMlw5ANQcSGMKI6gpJvZyCBrJJkpCQjBSkpSEtJSgoyUpISgg7fJ6McmaiEQAJSgESgBCghEDhfClAIRJwuGb5d4sjM2vmOpHQ00FJeu/w8Uauzq3daClKxnxaNc2kmdIcRpNL5aSnISUlGyTFVfb6SsD1kZQFY2CZ9YbwtQYJdArXVt48//vi2qsRmDLU/CNRVc6PFKaecwpIlSzjxxBO58MIL2W+//ejq6kIpxdKlS5k7dy52hNGZbZW1PXUplUqcfPLJrF27lrPOOotzzjmH2bNn09HRgZSSP/zhDxx77LEj1qUdDj30UJYvX87999+/w4vHjPULUbsV2ZuxvddvtPjYxz7G7bffzpVXXslxxx3HY489xl/+8hemTp3KSSed9IKUmSBBggQJXl6w1mKKJfTmPnRfH9HGjURr1hKtW0u4Zi3RmjWEa51visWt5iXzeWRHB6qjgCx0OEWWdkon5xvQBms0TiqiAQtCgnLTOFEKISVICUoihARPITNZl38u1+o3hYWnsFqDtc43FozGGuNW8zUGU61itmxB9/ej+2t+P3pLP2azC5tiEYRAeB74PsLzWhy+h/B9VGcXXk8PXm+v85tdbw9q3LhdgmSxQYDessW5zf2Y4uCI7WO1Aet8GwSxq2KDAFOtYquNNBPPhBFeUxv5HnheI82P20zE11MqkBKhZGuaEFgdQRRhwwgb1VzYkoYQCH9I3kPKA9F6bEuecZqxyHwOFRPusqNQD6vODteP83mste58q01tEIT1NrHVqmuzbUEKZCaDyGSQ2RwyWwtnEen0sH5ircWGYb3cRvkBtlrBlCvYShlTrmAqZWylNc1GESLlI9NpRCqFSMV+OoVMpVyZnueOLxYxpZLzm8OlElFfHzKV4pF1zl6lXxDkw2Xw5G3wZA70IF87bRI/OK6npf695ceZ0TGD13cezMwb72TGykGmrQ/p6Y+YEPmkrrwaTn7p7VO+ElFTKPaFEf2RZnOoWReErA0i1lZD1gYha6sh64KItUFIcYT+7QtBQUnyniSvFAUl8YWgPyYk+0JNeRvfQEMhoU6cdSjlVHspj7n5DN2+H6v3nIKvO+XRoSS6Nq05VhhGbci/ujJQSXJ1laAgG9d5V3hOJ9g9sD1k5Y3AKcBXhqS/G/jNmNUoQYKdxIwZM3jiiSc455xzOP7441/Qsh5//HEeffRRent7ueGGG4apJJ966qkXtPxm/OUvf2Ht2rUceuihfO973xu2fUfqcuKJJ3LjjTdy/fXXc9lll23Xqt3Tpk0DGkrXdqhtq+0L1FdoHxwcbHvMsmXLRl2HscQJJ5zArFmzuOWWW3juuefqqsqzzz67voBTggQJErxSYSoVwlWrCFesIFixgnDlSvSmPmQ2i8zn2hNjuRwim3WkTnUIgRM6QsEEAbYaOPJnW1Byq+SbzOWR2YwjDwYG0AODmMEB9MAAph4exAwMOPJpG7CVCnpzH1FfH3qTIyd1Xx82DIfvLKUj3SZNIr3XXuRf+1r8Sb14kybj9faCjrZaHz0wgI1ChJCOREqnQCqQwpFTSiGkAIQjMWPyskacNROatlIl3NzfQqTYcnn7L3ozfB/V1YXq7ER1deH3TkLtsw+yqwtV6HB1GkJy2SiCWjwM0f39VJcupXj33Zg27wDC95EdHTCKD2GhVJ2Ew/daCcBamlQNAlc1taWUdYLXVquOlIxJWNPfj6ktbrKzkBKRTjuyK3YIUScWCcMmkjGKyegxQq1trHV5R9GOn4PnuXrHZOuuAJHNItNprNb1Z8sOw/cRSrk8tpMswvPi51AOmcuR3X9/CgsW8PD6++gt7sHkWeMQf7sKVBredTHLHvkUPz62m2Me6Oedf93MjAHJ9Iu+QebUDzTyVD97cVf53o0RGONIxGpIX6SHTGkeOs3ZUtS6rmbcHGo2R46gbDclGSCnJJNSHpNSPgd1ZHlzqpPelMfktE9KSopaU9SGwSj2tWFQa0raMBg5m4h7ZtOM8xVdnmK859HlK8Z5ivG+R5fn0tOyoeZrVvzJhDRM8DLHVr+whRCfaIo+BXxaCLEAuDdOOzJ2X3thqpcgwfbj7W9/O7fffju//OUvX3CyctOmTYCzg9luOvfPfvazF7T8dnVpXqm8Gddee+125/m+972Piy++mGXLlvGpT32Kb3zjG1vd/6677uLoo48GYP78+QD89re/pa+vj/Hjx7fse9ttt7F69WoKhQKHHnpoPb1GXD7++PBV76213Hrrrdt9HltDjRyNtvGiLqXk3HPP5YILLuCyyy7jpz/9Kb7vc/bZZ49pfRIkSPDiwlrrSJQgwASBIw4ymRdtCq7Vuq5UImolJ2zoVEvN6ic8v66AahAvbuXUmuLOkVOmxa+FbRgOLyscoppql9ZEKtkoRPdtJly50pGTK1eg129oOS/h+6iJE51CqVhsT+DtqvCc0m9bEKkU3vjxqPHj8adNI3PQgS4+zqWp8ePwJkzAmzQJr7vbXatdFFZrTLkcq8EcgYnRTpFZJ+9iQlQ55Z6QEpFKoTo7EbmxnVpqymWi9eudW7euHtaxLfCtnwxOVRj39baqwkoV00zg1u4da7CmoVwVvo/qGoc/dSqZffd1hOy4LmRnJ6prHKqrE5kvIDw1vH2UAiHraTVCslmJtz2wxjTux1jF2XKva9NIs9YRtjWlZJOita66bc7b2mHkaP05YWn/zPE81y9qeYQhenAQMzg44mAAUiHScTu0qBQbqkVG8+w1BlOpDFNAmkoZW67E28qOLGxRQqaHKCTd815msrE6M4vMZZ1qMyY8m58FtvZb0awIrak1w9AdXyMn83nkkEVvalj8m+9zeOlgJk1NwSPXwcHvhRM/wpViIanq3/mPn6yme9y09kTkLrLK966MyFjWBSFrqiGrqiFrgpB1dd8pHNcGIZvCbQ8A+EKQVaKuJhzneYzzFDMzKUcg+i7e5TfIxJ6Ux+SUT8HbPUx5JHhhYEONqWqsM9oZP8NtI26smz2hLalpBWRu2+8luxu29Sv5sSHxPmBO7JrTPoCzW5kgwUuOs88+m2984xv1Vb8vvPBCcrlcyz7PPvssd999N2ecccZOlbXPPvsgpaxPCW5emfsHP/gB11133U7lvz2oLSDz5z//mccff7weN8ZwySWXcPfdd293nqlUiuuvv5758+dz+eWXMzg4yJe//OVhq4OvXLmSSy+9lOuuu46NGzcCcPTRR3P44Ydz//3389GPfpQf/OAHdWXmypUrOf/88wG3eE3zSuALFixASsmtt97K3XffXV94R2vN5z73Oe67777tPo+toUaOPvXUU0RRtFWV5FlnncUXvvCFuqry1FNPZcqUKWNanwQJEow9+n/7OzZec019+p8J4g/NmuKmjVpGpNOND9YmX2YzTtFmdIPUaKdeqxGDUdhQjzWrpGJigDE24v6iQSn8yZPxp0+ncPQb8KdPIzV9Ov706fjTpuP1dLcSGUFQV/HpYhFbKjm/XAalGuRBOj2MvBCp1KjIYxtFDcKt3TTMYglTKbtpo7Vpqh0djemqHQVkR0fbaaS7O4RSqEIBVdg1LDvJbJbUzJmkRrBD/UqEkBJqCsyxzluInc5b+D7e+PEwZHB6d0KNrJVDviu2B4EOWLu8H4Gkt3I3RBU48lye7HuSW+wS/uWQD9G9+fydruuND63kstueYNXmMlPHZbng2Lmc9Opp2z5wF4a1lkFt6lOr1wYRq6shq6tB7Du3thoy9FfdE9Cb8ulN+czMpji8K8+klM+ktE9vymOi77nFT4YsgOK/ghc3SbDjKD64Fr25iilFmHLsSmFTOIJo9Ert7rMOJLPP7vtsHQlbJSuttSOvjJEgwS6KQqHA73//e0444QQuvvhivvnNbzJv3jymTp3KwMAAS5Ys4amnnuI1r3nNTpOVPT09nHvuufz3f/83CxYsYP78+UyePJlHH32Uxx57jM985jNceumlY3RmW8chhxzCCSecwO9+9zte9apXsWDBArq6urj//vt5/vnnufDCC/nqV7+63fm+5jWvYeHChZx22mlcc801/OhHP+Lwww9n5syZRFHE008/zSOPPIK1liOPPLLl2GuvvZYFCxZw3XXXcccdd3D00UdTKpVYuHAhxWKRY445hosuuqjlmJkzZ3LOOefwrW99iwULFnD00UfT2dnJgw8+SF9fHx//+Me54oordqapWrDHHnvw6le/moceeoh58+Zx6KGHkk6nmTt3LhdccEHLvuPHj+eMM87g6quvBpKFdRIkeLlA5vP4U6c27Iul0jEplmpN831sGGxVqWNKZae4arILKDyv1WZcbVuToom6MqnJFpy3jTTfc9MPa+rPdrbiagooa1qnBTfZsavXLZ6yKXx/uH26JuVU+7TWuMzlRqU+rEGkUqhUCjVuHC+kNkB1db2AuSdIkCDBzmHJpiWMH3AD3b3PXw2z3wK9+/KtheeT9/N88MAP7nQZNz60ks/c8CjlWDm4cnOZz9zwKMAuRVhaaykby+bY3mNfPLV6c6TZGER124/rYtuPa6pRW7uNBSWZkvaZmk4xZ3yGKWm/xU1Ku1WVk2nRCV4sDNy5gmhtCZGSyKyHzPrInIfXnXXxXJyWid/blHDvakrEavw4Hm/zJ+df6lN6SbDrzkdJkGAncNBBB7F48WKuvPJKbrrpJh588EHuueceenp6mDFjBv/0T//EKaecMiZlXX755cybN4+rrrqK++67D9/3OfTQQ7nsssvYd999XzSyEuDXv/41X//61/nJT37CHXfcQaFQ4KijjuLaa6+lXC7vEFkJcNRRR/Hkk0/ywx/+kN/85jc88sgjLFq0CKUU06ZN4/TTT+e9733vsGn3s2fP5qGHHuKrX/0qN910EzfddBO+73PAAQdw5plncvbZZ+O3+di94oormDlzJt///vf561//SmdnJwsWLOCSSy7hnnvu2aFz2BpuuOEGPvWpT3HnnXdy3XXXobVm/vz5w8hKgLe85S1cffXVHHDAAfWp7gkSJNi10fGmBXS8acFLXY0ECRIkSPAKx8PrHqZncAaZbES++iQcdRl/3/B3/vT8n3jTpPdz3NcXbVUNOZJishpplqweYPGKzVx68+N1orKGcqi57LYnXjSysqQNKysBK6sBKyshKyoBK+LwhiCq23vc2orUBSWZlPLpTXsc3JHjrRN9etM+k2K7j70pR0Z2JNOtXzI4ExrWTWeuamzgpjarvI/XnX2pq/eSoffD8xAphfBemIVfXykQ27MysBBiDm6RnZlAyzwBa+2/jG3Vdh8cdthh9oEHHhjVvkuWLGG//fZ7gWuUIEGCHcXJJ5/MjTfeyJVXXsk555zzUlenLZLnSIIECRIkSJAgwa6HT9zxCXp/eyQHyQ0cP+uncM7dfORP5/DQmkfZsvQCykFjED/rKy5910F1gvHGh1by6RsWUwkb6kIlBVM6M6wdqBDGK71YgIzCFDzwJVYJiNVaH3vLHEqmdQGZaIzMkUQW1lVDVlSDYfYgJTAl7TMtk6In5THe8xoLx8R2H8fFi8eM8z3Ge4p8QkK+4LDWggGrDTY0bqpyMcQUI0wxRNfjoZvSXAoxlQYpaaux+ZshKLx2KuNO3PslOKMELzcIIRZZaw9rt23UykohxPHAr4GHgEOB+4G9gTRw1xjUM0GCBAl2aSxatIjf/OY3TJw4kTPPPPOlrk6CBAkSJEiQIEGClwmstTy26h+cWDyOnvztcNRHeXDdQ9y98m7SW05sISrBqSE/9evFfPeuZ9hcClm1ucxQWiiSsFoZjpg/Ezp8NinLo/0lzAiKrm88t5ashYyh7nsWtzI8UC/AWoYVJgVCAEqAECDcMRaDsW6Bp3FRyBHVkJ5KQHcloKdcpbcUMqEUorRFaIEmIqRKIAJCKgSiSoWA5VR5XrhClefxni98ZeS2jBcfAQHC1Q3BDtsbduZWDKaiMZUIG/umEmHLcbiq44VPTLwgiq0viGK1qS+KIqRAeBLhx9N6fWeOpZYmlCOOXcW3WilsYNxCLKHBBhobOlKxJWysu17GXTMb+7Vr6BbkqtXXDFnAZdtEtfAlMu87l/PwO1OItOemOKc9RFohU9KlpRUyrVATMtvMN0GCbWF7poF/EbjYWnupEGIAeD+wCvgJjdXBEyRIkGC3w4c+9CEGBwe5+eabMcbwxS9+kXz+lWk7JEGCBAkSJEiQIMH2Y3VxNXZj2i2u07EBe+C7ueJPH6E7281zjzeERRZACWxKUk5JZG+WnmwHy1b1Y1MSUhKbjpWTWY8qsJCIjnLEPkXLuzdF7D1g2GMgIhNEeJHF14aJvqTgC8BgrMWiMdZgMDHxaLHCYgXOx7p04cg4W9GIQKC0xCdNSmbxZbtFmbzYtS5EpNFYNBKFpL1qMhQBoQgwRrP2igexkcFGFhsZiEwcNwxbQaeGGgcoHKEqauFtoEY2bhOxDcG6r4Rb/Eo10jG2Xk8b2Xq9h5G/2wNPIFPKkZ1+7Nfisuk8a6Rt7NfbQLaziSha0z2JKvjIXExM5j0XTiUK1wQvDbaHrJwLXB+HQyBnra0IIb4I/B742lhXLkGCBAl2BVxzzTVIKdljjz34/Oc/z7nnnvtSVylBggQJEiRIkCDBywgPr3uYnuIMAHqOPJp71z/IorWLOG/eBfzX4gzVyBDt14WennekU4z7a4HOLoSxeIEhGxhmbNa8annI4QOW2YOGSREEhSrrK8tZuuIhnht4DoMeXpEYUnn46TRSbZuMkp5Hvms8+fHjKYyfQH78BPLjJPnOLPnsOLJ+B2mVRfk+IiVbybTYdp+Iz8la66YRD4TowQAzGKIHQ8xgUPdNVbtjYteiUPQbacAQRWFDVWhtY9u2IDyByHjIjEJmvLZhkVL1c9he2Fj5WCdet2Krs1EpGsRksip5glcgtoesHABqet7VwGzgsTiPV9466gkSJHjFYHts+yZIkCBBggQJXhoYa9BWo4RCIHZ4SmiCbcNaS1VXqUQVAhPgSY+0SpNSKTzhvaRtH5mIDeUNZFSGjJchrdK7RF94eP3DTB6cSU5uInf0+/nmwo8xPtXLd37XgzEWc8A49PQ8R62qMnvAMCmwTIkEE6uGcYFlXGjJR43JwyWrWab7sd5aHt/4KH/ZsgyLYfyUqUw//EAO2++dFCZ046fT+Ok0Xjrj/FQaL5VCeaOjAh7/39U8eOsyUlkPP+thpUcQeIgBjyjyKGc90lmFn7GEm8tUSyGVYkS1FFItRlRKIdViSLUUUSmG7HHARI75wP7ItPeKWYRFiJqaEUgnSsUECUaD7SEr/wa8HvgHTkn5X0KIg4GTSaaBJ0iQIEGCBAnGEjqCxT8HIUEo50sZx5vTFLGhqq3nZyIIilAdcH4w6Fw19oOic14G0gVI5SHV4fx0AVLOmVSOoHMqlYl7U9EVylGZSlRpCbdLGxbXFapRFSkknvRanC99FxYunlIp52SKtErjK79OCqRUitSGp8mU+8ioLBkvQ9bLkfVzZLwsGT9H2sshvBRIhTWaclRhIBxkMCwyEBYZjJw/EJUoRmUQCk+l8bwUnpfBUxk8L4PvZfD8LL6XJdAVthTX0V/aQH95I1uqm+mv9rMlHGRLVKQ/KlM04agu9Wc7D+TtmbFYoVaAl2441RT2MjwT9vPtVXeMakrg68btyzt7Dx+DOuH6qEqB9EF5se+D9AmwnPO3i5vqFE/dq89lpL5Nxn0hrdL4ckgfaOobUsg6WaekQgqJRCJl7ItWp4RCCNHiS+Hs3WmjMbE9unZOW01VVwl0QKADFzZBSzzUIdrq1mNxx1pr6/4xM4/h9P1O3762NQZMCDoEE/KHZbdzwd++2Gh6JFIIpFDD/HPmfZgz9nvf1vMXcqv95enNT/Pohkcb967wh93PNReZqNFGbdqrqqtoo1vapbm9ammAu/YyVb/+9b7Q1A9CHba9Hs3xQAdENiIyw11oQ+fr0D23dGXYs2zEZkO0Pqviun7ggA/w7jnv3r5rvANYXVzNcTcc15KW9bJ18jLjZcioDFkvi6/8rV874aGkGrH/18LWWoQQI99bCBY+/yfeNngWvd0Bf1q/mMc2PkZ51bvZq5DnDe+cwc839nPms1VOXNLPFllhYoekkIVAlal6ZdbaIhuKfWzc0ocJ+igFa7FYJkybwYzXHMhh+53C9P0OpDBh4pi2ZybvM2FKnmrZkY1bNlaoliOCcoQOR5qPDamMIp33yeR90jmP/LgMmbzHpFldY1q/BAkS7J7YHrLyE0AhDl8EdADvBpbG2xIkSJAgQYJXNKy19Q/LrX3ca6MJTLDNj8nmj9qWeNN2ix1GQAwlHZRQwz9qmz5sUyqFL30sdsR6186pplZqKWNI+UIIxLYMx0NLHVscEqkD1C3njyIX0EAoBBGCSEAkBBHOD+NwKAQDUjIoJQMyDiufQc9jQCoGpWRQQBRabGjR8WIDGjDCmccyO6jMEYiYRGz9WE6rNNrqtkRBZCIi64iC0IT1a72jyBqDZ6EkBXqMFUaetXRpQ6cxdBlDrzHMNoYcCjmKKzh93V8gHHmq4qhhNOiqI6bboJzyWdLTPaqsZi9dCP3/d+frNApEU3pHtZ9G0I8gkJJASqpx/64KCIDopReOAZBGkkKQEoqUkKSEQlmLxCJtszPORSEyCrEP3gI/OhfyeUin22dutLu+MTmJbSVK9vE9zsvn3P2KiO9bGvGm8N6//ST88mNbPxmhIN0BmU7IdEG6y4XTnZDp5O5gNZf1PzIGrdYesT4UJQQS5ywQWE00otG+bcMDfAS+FXXrgj4CH7fYioe7rz3At9CDIGMhgyBrIYsgg19PSyEIpSKUiqpSVIUiRFI1kgBBYCzVqMr4Jb+HZx9sW6en1g1w/3N9lKsB49JwyPQCe45LNZHREWv6Bli2vp8wjBB+mj0nTWRad1fT4EQGvBTjpOSL3a+jLCVlARUhqGApC0vFGipWs3xLiSWbN1HRIb4HEzt88mlBZDVh/PwtBgHFIMBYgxSSrO+R9f1hv1nlwLK5FBIZgyctnVlF2hMYqzFYjNFUI42oGrKVSSxMbeH22/8vxnRzytyT6JzXyxXL13HasoD3PPoUf1l1vbMjCQgpyRQ6nMvnyUzqYPpek8h1zWXqnH2Zvt+B5LrG7XBfGA32PKibPQ9q/+zUoakTl2FV46cV6bxHOushVftFfhIkSJBgNBDJ9MYXHocddph94IEHRrXvkiVL2G+//V7gGu3esLGtEmPdKmc2tmHS8G38bhv3/eaX+1YRAwgaH4eiFmryxZD7x9L0gS6GZN9UkGiKtfu4sE2f+baR1pyBiCsqaC6z9VxkbERZypf/VChrY8PfsV9D87nXzrGWNppzrpNLbUbJmwma5mdlvQfYYT2ikVarb3NaHB5Wz6YOUUur7WusaYRjZUUt76FkVM1//unnWaKWUEgVSKkU2mgstr1aI/7Qy/k5cl6OvJ8n7+fJebmWtJzvjKSPRL41Kz622eYMb/N29doa+VZzVV2lFJYohkVKUYlSWKIUuXgxLFIKS4QmHE6GxYSYko2pgtpoQhM2VCW1cJPqpKqrW1XKVaLKqNthRyCFbFHQpFQKKeTI/Td2kYkITFC/3rs9LAgk0iiklUirWlxB5sl7nXSoAjlVIK8KFEseK9ZryqEhnVbMmdLBzO6cE3MSIdEs39TP46s20B8IwnQvx+w/jSP3mkwmlSHrOzLy3qe28OO7V7Gu3zCpo5NPvPkATjlk1rDn0Y0PreSy255g1eYyU8dlueDYuZz06pHVhdZaIhsNU6xVdZWguJ5KeROVqEQlLDk/Kjf11TLlqEJoQvIqQ8HPUfCydHp5Cl6Ogp+nw89T8F1cmIgwKhOFZaJmPyoT6SpRWEZJn3G5bjqzPWRz3YhMK4lDqjAqBeNYYFhbvnU2Jx3Y7YjLKHY3/gou/jyElUa9Mmn4zGfg2Le5+G23En3pUrygWs87SqXxPtu6D5deCpXGPu3yadlHAvkM/Nv/gflHN8iXu+5Ef/97KBPWhZQ6lUL903vgkFc7Iu7BRegbfo3SobPPpsBkPOQxb4RZMyGqwLNPYRY/BNIQegItwCiJ2WtvTHe3I0sAs3Ej+rlnMdZihHu9iJSEPfZEjx8fk3gwuG49av1afB1hpCLqnUyhtwcVn4pEUF6zjvSaVWR0hFIK0d3DuO4ufB0iTOSU0SYkKg4iq2VEaNBaEXT1kJs6Hfwc+FlYswHzv4uQ1ai+YIZRCrlgAcyZM/xiC9lGoerVlarOV7HdOuOc0XHY+f9Yrpxq7wAAIABJREFU2cfdT65joBzSkfV5/exu9pvS2VLMktVb+OtTGwgqJSanA46Y4jEjF0F1C1S2QKUfqv0MBoNslsQDJfFgSTxoEjYNmkRC4FtL2tq63whDylpScVwAsV58q9BAIASBqPmiTmCHCHwaZaWET8pLk/JypPwMys87Yk85xbVbjKRJrS4krFwFf18CpRLkcnDggTBjRmslli+Hxx6DcgkKOZizF/RMcP0yarr/avfiCL9BoTYEkcHiiOQQD41HIZchl8mA8ukPYEV/SGAVBkGKkIyImFIQFJSJywycP0pV94uNVcF+/M+mL3Nj9+Os2ecqDs+dxyFHnMQlz6zmHSsCzln0NEvzD/H69/8znRN7yBQK+Jnsy/4dPkGCBAlGghBikbX2sLbbRktWCiGeAQ631m4ckj4OeNBau9dO13Q3xe5KVmptCMu6lYMb+lsqaqQa9VXKhGiQM81pNdjYIHKNlBmaprVGa4PWBqMtVluMsWAE1oAwyQ96O1gsyJhgFS7cQsZiYz60iYAT9dBw49Q7OM5Ry70l73ocLG1IviEEZaO+Q4njxkqGtDmiHep0oa3RvrVw3E+tqKXGxTbC9fQ6SS1a/rXm0Sit5RzqyfWWqP+tfbzW7o+W+0WAoy8NWmg0kVPsEbHymZWc/4/zR3H2uz+kkKRkahj5vDUooYZNAauFW6aQeRlyXm7YtDJf+a2kartpl1I5slGkUcbHj1LIyEdGHjJSyNCDUCGNROEhjCPcMAJj3LPPOUMUGIKqJqw4VUNY0cPixlpyHSkyBZ90h0e6IPHyAj8vUHmLzFnIaNdzjYylSLGzNMJaYHTjOWwiizYGUwvrprpFFhOBjeJ4CCayWN3wLbFRfKDl2QMUqxH95RBjLJ6QdKQ9Mp6KDedDNTSUqhqsI0+kFSgknhAvye+AlAIroaLdcgaOSLBEEmb05pnancdPK/yM4vn+Mn9+agMlY+rPKV8Jjps3hYOmDZ8e56cV2YK7fpmCT7bDJ53zkbuowX1rLTp0fVMogay5F2Dg7MaHVvKZGx6l3KTMzPqKS991UCv5u+eesGzZ8AwKBTjjDDCG6Cc/xSuXhu0SZXN4p57iIr/+NRSLw/PJ5eBtb3PTkm+7DcptpsjmcnDyyeD74PuEP7sWvzQ8ryidwXvD0VAqof92HyoaTrwYpZB77AFKYZ55FqmHq0m1n0K94eh6edEf/ohXrQzbr9o1nvRPfwwTJvDo9Tcz+8rLkNInUimM9Cilcjz94X9j7vvehamGPPHT/2HGL36KZy1GKqyQVL0Uq45/NzOPne94QWtZ9se/Mun2m/GMASEwQhEqj3VveDOTjzwUqw3B1d/DK5WwQiIwSB0hTUTU2UHmim8glUApyd+WbeLXD61k/WCVCYU07z1iBm+Y2xOvgisQEu5Yup4f3buMdQMVujsynDV/FsceNKWeh1SC3z+2ms/e9HdKYeP9dWh/GXWfAkeKhiNPh27dt0GYYkwj3kymIloJQ6GGk4lCDCFhm0nZpjQv6whhP+tI3O3Bz34GZ5/tiMoacjm4+mp43/tGv88o8bqv/JmVm4e34/iczxfecQChNnzp90vYXB5+L0wbl+XuT7+pNdHUyMsKhCV3jZr8T/38b5SLg2RFFZ8IiUFiSSvLPj15sJpl6wcxRte31eBJwZ7d+XixacEz6weJ4lWk3d4Cg0QpxZwpXVgkj60epKohW55NV+kAfnDQ1yh5FUTqIjbuWeAtq6t88oEVVF9rOezkk0e14E2CBAkS7A4YK7LSAJOtteuGpE8CnrfWjjBfI8HuSlYGlYjNa4e/1L+YsFiM0BhhsEI78kqaBskjYz9+kRUi/liSMeEzhEQSdfXiUALKpYmYWWolrmp1AYYqLVupp6HJrcFaoDmPZkKvKb1G5rn/rWGoEbs4lUIsLsDGJJwR9XCDoGuc8wg6za1itLzlrvlZPUZoJuEh/rBomB5rVk/WUb9mtPaJmB22MSmzvQr451Y8zWM3DeJlBColkJ5E+RLlCTxfojyJ5yuUL/E8ifQlVmm0itAqJJIBoQwIRIVAVqhSoSJKoCzSE0iP2BdIJVGyafrvKK6yQNRtpwkjEVoiIgWRRGiFiAQ2EnE/Nk4FhCPcanGL833pkfYyZOMptc5mX5p0TCCmpI81oCNDFJrY1+jIEIbO1lIUaqLIIIy7t2v3jzVD1dm2/hE+VLVt4hUoa2ETmZjUc4RiM7lotHXlVzVRsBNKx1g97fmKVEY5Iiyt8DMefjpOi8MCKA8GlLaElAcCSlsCygMBRo/97AqpXJ/zPNfnlC9Rvmr0v7gPSiVHFN6t7q/wj1X9aONE5RZ3S+3VW6CnI40B7l+2iUqsxGlM17Z4nuRVe4wnspbB+xfx1r/fSTqqokyENJoQ+J9XvRnzuteBFFgB9z23iVJkMPFtqmwshvMkb5zTiwfctXQ9QWBiZRkoK9w+vmTBnF6kbeyjcMqolIWUFeSkZI+uLCbQmNBQKUf4diefiAIyuZi8LPj4mdFosaj/FgpBC9FT86UQIIVbiFYK5Aj76sgQlCM3/a8SEZR1fSpgUI5G7FtSNpGXMYEkZHMdXHlSupEaKYn91uNUHL7r6Y0Uw6iuCqw1ay7lcfxBkxsF//CH9YazQmBi26dGSMhkMVJiqwFWKKwQWKHQysPI2GVyGKHcPSyVSxOOqLNCYqXEKs/lZyxGup5ihcCLqnhRFT8q40kbxyt4pQH8ODz76TvY8/m/Aa4/PzdnHoGfYc7f72t7VS3w1yPeCsby+gf+OOI+S2YdiNIRntbstfLJUf8OX3va9+kbv8co93554s5MyH0ZR/JOzKf4yrvnYazlM79ezKbSKEmx3RUjkftKwaRJLrx2Leg2Mwn22AOee267ipv16d/v6Bg4Anj2K8ePWXlzJ3UgBDy+ZmDE4/ed3IE2FmMtT69vM3gRY/p4t3jMij5HxB5f9JlhND874kJK5Qsozp3H0WuqXPzIRro/MJfefffervNIkCBBgpc7tkZWbtNmpRDiXU3R44UQ/U1xBRwDPLdTNdyFIYQ4HTgHmIc738eBHwBXWftKmU/XHoGssim7Oo4N1Y25UF1RFFvacb6o+6LuNxGALSqyRnkiJn9qI+RKKecLVVcxJdMkxgZ1csw2ODRR/xPHd7Cth+UdEzxxkFFTnzVCKZ72b21DAdpIG0U+sXKxPjVbNPpa7YO+hWxsIiPrROQL3O8aClPq7TWUODMmjhtLaoNi1kHdVMsRYdURdDo06KohiDQ6DF1ajcALjCPbhiEdu4bSq6YYq0PgSKk6AbXttjDaEgWOqGtfbjNGqy6IYjfyR8PWUFd9yZFInKb0EciUWpqokSqexE+3kjJ150lSw4hFhZ/24nRHPNbadNjxSu60qs5aS7UUUR5wxGVlMGp5xg4llNrF1ZBtYoyUc6/7yp9Zmaugcs8BGoQBoRFCQ9G4tB6NEAZEhI06iAbm1Y+/fdVahIC7fvt5pm9ZPyz/iavu5z0H/7weXykiaCs8MjzxzGpCHau/06DyTyBkFTfAI7EI/rJWOpasS8RsWc1ZV3diRXvaIOI0YS2edb+D1iqwCmEl3//AkXjSx5NO4auEhwkslcGQalFTHYwIioagGBGUDGExpFisovtG9+zMqKwj5dsS7/FMhThutkLUSyVIZz1SWWebLNeZYtykXBxXqLTAerVZEM7XkW4h8GvbXN5Nz+6msogHLZxwTDhBWtAQomUqmhzSTZttHusLDSue6GskzDwMIvf0klZDbDNReAoxZx+EgOixx0hFIcIahDVIE+FFVQIZUXj9610/v/l3yIEtSBMhrUYYd01FIY/84AdBgrz6akT/ZkT8mhh5aee6JhKd8E7CwBAFmi3/uwghFJGXZvLafzT6Y2cPZ3zw63hK8LNL3tO2D6/s7OHKsy5GSpi19OER9/naF75fj1/08ePb7remMIHLPnwpmcEBLvnOJxHArKd+zpR0HmkihNVIE3Hn/q/FCHjLw3+spwlrsMLUlf7XHflODBaN5vT7bwTcdmkM0liU0QhjuWrB+xFC8sGF1zKhvMVttwKBhxWK9bmJfOykz8ZmHKSz3Wji90grELZmzdH9FsvaXRffqgo3mCAtjenr8QCDitNXeo3X+I3FgH/98daFBavaKP92Wzz/fPt0reG4eOGa731v+47dCqaOy7ZVVvZ2pPn52UfiK8mp376HNVuqvLqqWFD2iQAtwErBTz53b30wVjW9k0B7k1AfKGcJIjf4ZOvO4nuKV5kCQsKiSkQ50i3vwQLIeIpDdKH+XHysZAi1qT3xW/PqGYeQ8EAFKpFmSiRZ1fUkmcrxrJ9zEEesq/ClJWX2+PejSfd0bHe7JUiQIMHujG0qK2NFJcTChiGbQxxR+e/W2t+Nee1eYgghvgWcC1SAP+HO9xjc4kL/A5wyGsJyd1VWhjpkS7Cl1WaelMNsyr0QcC8IBmsMpsXX8cuI+ziskzs15WFdquZeJFoJ0gb51NLVazYCrW0J1+PxreFIrpgwFTHR0RQecgINzWWduxt7hdNosM02GNoeI+bTHBFNXoN9bkz/l8Pap6Wt6qYBavEaWdieCGk8xxrEZy1Qu+ZD+0IjXDum+ZpSv9a1vGxTnm3LadnOyNe4pSxGqEN9b5r+NOXpwkLG7ShlHHarvT793HOUn3uSVCaL9LzWe6Xp3nEEQLzCaGTQkXVmxjR130SgtXCzy6zEGoG1IvYbcROHa9dMOImWewbUyb5afUHgyKc6yWhDrI3ABlgTYEzYOO+dhBCgYhWo5wlkrDJVnsJLCaRSKM/ZOGtpo1r7mEZ8NKgTOkbH5E8tz8bzqXENbP0Z1ra8+PrK+Po2X3MZX/fR2AV0qnKFVArpee6clYf0FFLFcc9j2/e6bWqfxjm1nGNd2r1tNOrjoZrq9p9/fAojLBPH3Q9IhHUEhbTxAJetkRYuPbA+a8r7ILB0phUfmb8XwhrM5z7vOEUhsIhYWC7cQjn/9m/1dr5h0QpK1RBhLVpItFBoochlM3z4TXNRnsfXFj7DxrLFm3QbpPqdkj9WfbaGoWbjWFqBNDVfIC2x79LFqNWVcf411xyPw3VxPDXfKQhr6j5wSsKPvOrjdKYnElhL1ViqWLf4hYXQQBUL8bNEKlV/vjiCvBZXjFeCI7J+3Ldk03PI9c/fPvM7rnnse4ja+dbPfXgbuHZTWOFhpI+VPkZ4dd9IH0+XyFRWjdjm7klfmzXg+kfO91BIZyIgiLCliCA1ji25MqEXOeJ4fBcimwUMA5s201HqR9bYU1x/Gch10DkxHrQplmDTptroEcJqBBoxcYJbGAbcNPGNGykUfSZv7HAqXCuQfhYpPXf+GkwlIhVpZJPZAivA1O5twMRkqAWUKXHJ9++h5KX56rs+wUXXfxmAi97z/3HhDV8jFzXsaA7dZ7T7rRk/icmb1/HOL83mmWmZUfbP1n5Xpw7j6S22Je4I/lrY9UsRX7sIYSsIU0HQRrHXBhKFFB5hhCP9UWBr1KXD+FyqNtmBvlKIafN8kkLQXUgBsHEwQNd//yXW+GBTpGSa1+41pXWxrE0R3qrB+rO79Xle+31vhGV8z0sr6sSqiDvxsMk5IyEeOENKZ8dUut9bVOzXnLENp00cNqBdmjXuN80q1zhGAlJgJNhHHsIGVUzNdFDtCqfT2Ne8xlX8b/8L1Qq19xxlDH5k8DJZ/Hedgu+n8P00KT+N7zlfyvbfBY+u6Oe3j6wirA9gCnypOOnV0zlk5gQEkkeW9/OrRSsZV84zIxiPsm5AZ7+eLnoLWdDxu4kW9dn1svYOWRtwjN8vN5YCntlQrF9nad0iRntNzDM+52ONpW8wcARq/T3PvYdOn5inuzMd/y4L1hUrLF03gLa2fj2VEOzVnWdiLoW1lk2DASs2lRCyyIoJ/+CWo9/OQX0hly8OmP3RQ/An5Ud58UePn/0MPvtZxx3PnAlf+tLw2fljtU+CBAkS7CjGahr4sziblRvGsnK7KoQQ7wZ+BawB3mCtfTJOnwQsBPYDzrfWXr6tvHZXsjIKAor9fU18Qo18aYRdaJRvX03EzcgkTuNFcLvQjuwSYpvkUm2/rRFrQtSmjTa9lA4hNlvK2QopuP0TsHcOoybYRp3Zi4PaNbRDr9VLjEbfcn+GX+NaWoO4bSVxa2RffExzn2iTZ+0DyJp4EaD43nh2+Qr++t9fHW2lm8gG1UR+ika8ljaK7Jw9RY3RESbSaB1t9X51JJmPSqXwfB/l+3h+Cul5Y3Y/WNuok47iummNiSK01litMUbXSdbG+Q8nCEdVI9E4VtbyEkPInDgu44/MOtkzpLzaMw9bG5BpJZvdtu1pg7gd4vMfeq1Gd3qt7SOb26fmRpGPhabr4OpgmuqgpeT2178DYW2sdHMrCNcVcdbWXddAH/MeX7S1BqgfL+KhV1noqPfzQFsGqxoDKGtQVuNZZ33s5YBb55/MP+Yc7AhZWSOCXlhMW72M02/67k7l0dc5gR+e9jEipbZZ57lPP8qJf7x+p8pbMXkPrjvpX3cqj5Fh67btJAapQ1Q1QGli9aWj7QRxv8XibFRolNFYIdFKESkP6/lYqTBCooXE1KetC/xQE0mFn0mT8Rx5H0aGaGCQjvIgvo4IPZ8tmTx+Rx7Pk1gLGksQWcIwxDM6JkAFUTxIoGKltgkjRBQ6Qr953FYpRGxHz2qNiKf/WgRWujpaOXZ29qQ1ZJUlLQwDxTI6DNzCPVY7BZsATwkmd2UxwNqBCtrYpsEbRyYrARPzftz2UAkjBkohk4vd9YGM2oBa7VhNzYqOIJQhm1ObkGhyvsWTGmtDjAkxNiDfb+jZOJr7rUZ+N8doDDLEAxyOG4yfeViEsQian3cGpTWveejPrYMhoxj4MMI6J134sbmHYaRCGkc0SgtSO7/xzDWkwoBZy58czWXbStmSR/Zv+y26Q7DxYIxz0j33cH6tT9pY6yibfkOaf0uEaf0dGfq7Uj8GGyuDDcpopNFxPMLa2qCr6zUx9Rn3pZp90dq9Iejv6OaP809m9oDhqocDZn/oYFIzGorKsSQYx8Lk6BiaJR1zvJgk6mjLGmk/923oZoU47qV14c4dxS9+ARdfDMuWKaZM8bnkEvWyIKR3lTq5hUxBG8u111m+/o21aLOCyb2Gs/7F8KY3GaRw97Yg/sZHY62hs2Me2ezIiyJuC0PP7/+/xHLaew2RtkTaEhoX/tUNhv/8L8vypRlmTFW75WDBmJCVI2TsW2t3zeXWdhJCiAeAQ4F/ttb+eMi2+cAdOCJz2rbUlbsrWRlUKmxeu6qJTInVdE3hGuEyGoxE4ghRy69BmjSrOOokS3N6O3VeghcczQrHtsT1SOrUerjx491W5diilqRB/kELKdhMSNf7lWja1kwK1vvcyGrOVtJweD/f1frXkiVLmDt3DmGlitHRcGVeMxH3ItTdqTp1g7y0tk5MyjH8uE3w8kdNtXnjouf5wk2P0ff6KfHHvbsPfV8hpYjtE1q0cSSM31dh7yV9fPzNc3nHq6Y1+vnPf47+1w/jVxrTC6NMFu973x32ttdude4TD57szCaEEVEYcMvDy/nenU+yYUuJSYU0/3zUTObP6W4hj+96Yh0/v28ZGwerTOjIcvpRe7Fgv8nDFK1/WLKBb93xDGu2VJjcleW8BbN5e7ONxaFt06SQbqiAXdrN/RWWVEKkEHWbmlLQFI6nvwpISUlaCjJSklaStJSNsJKklUKYJnLbOEJfa42N72NjNGljmSKHKIRb1MFu+qRSsXo3VvE2xwdQ/GAgJC0EvoC0EKQEpIQgLWNfgC8EvVKwty+GqcOHtvnEQob3vmYP3jB30jDV5yYDf6to0h0dCC/lVsm2oK1bLVtbyyMrNvOnx9fRX47oyvosmNvDgW0WPQJHaEXWEhrr/NhFpsmPlfjNZdjYNxZW9Vd4esMg1cCQ9SRzJ3Ww54QcXnzenhA8v6HEg8s2UaxE5DMeh+45gVnd+Xp+xsKzG4ssXtlPKdDkfMW86V3s1Z2Pr7uzQaoQPL1+kAee3cRgNaKQ9jhi1gT2mdQ6/XTNvQ/Scd895ColSpkcA0e8lslHHTLiPpVUhuIRr2Xa0Ye76dfClSmAVX++hwkL/0BXcQvFTI7+Nx3LrLe9sV4nCTz8/GZuXryavkpIZyHF6/btYUZvgaI2DEaaJzcV+fvaAXTtAOv698zxOXoKaSSwqRjwzLrBFtMiUgpm9RSYWEg5MSEWbWFjsUqxr4o1FoUg47u+r2KuUyIIQk2poqlgKGckU8dn6cyl6te5do1DY4iGfEvV3xJ24Oe11jdqBLPrn25wtnYOKSF5dv681uOsbQw+xfeuVLGaPlbPD/29n3PXYrZE2x6Qmbl6BQs//3+wn/k09qSTW+49e9NN2K9/HbtmDXrqVMy552Le/GbCqEo1qBKEFYKwypawyj8xc/sbZDfEPkXN1Q+UmfX+A8nsPa6ePnry0BIEIZ4X4XkhHR0h//VfEW95S0RfX0j/lohzPhKxZUuIUrpJGQudnfCRD7vwt78D/VssSFDS4KkAz4sYPy7iQ2eFeJ7mJz+NKJdDPBXheRHKc+Hu7ohPXhBhTOgGG21EpN1Cj1K4BeOcea7YXEO8OJSIFf7uF2nrEEIxa9Z5bbeNlkQ1xhJoE+dXexaKEc3oWGsJtTumGmoCbfjlrw3/8QXDnns9yHEnXo8VFuFB1wTw0xBEgsAIyhVJseoWVxKxIlkIi9yKZFoKgxTG7Yep7y+FI8eGbxua7srRRhEaj1D7hCaNtmkim6ISpiiWfQKdwlpZP/b/sXfm8VFU2R7/3eol3UlnIRshYUmAEJbIDoMjIwy4gODCwDgqT1kGQVTmOTxXHAfXp4644eg4KIICb5wBRQFxV3CXQCTsSyDBELKHJJ30knT1eX9Udeh0Op3uprNgzvfzqU91V93l1O1TS58695xwIyEsTKnvcBCsFuXlDjklbN06Gzo94cophEGD0Rib1amGhvHmmd5sHN3G3iETHE4nGmSCQ3aioJBw6IgTThCEpPQraQm9ewPRMUpfZ6sIRcXq/z3lnQOEEOiRJNAtRn2mEQIaNb62JAnITmrsw+EkNHjp2+F0ux83OkT5h4ATkqDGMdRodNBKSqJDxbFd+f+oUeVyXW5d4yY3jiHBaiNYrHC9nYLQOFt9x1zy9q9gOxXfaV4WhJJQeVb+CUAhEb2jfn8DwC0ATgC4hoiOhkjeDkcI0RNAAYB6ADFE1CyIihDiNIAUAJcQ0Xe+2vulGisZhumc8HWE+SXgzXjYLBOvP/AcNoYJiM54yvhzPQjZNcNPztfbqi3KBNLWsicdOF1E6NkLuPc+wjUzFEOEUzWKvr8VeOFFQlGhQIownJceEBHKG3x777/zDnDg7WJECytMJmDkSKCfR76ZEyeAfXudqLc5sa0gCXPmS7h8MiA51SnYTtUz1UkACXTrEQ5jTFiTlxJOIshE+M9GwPrJcURr7dAagJSeQEyckofSlbCr/CxQWATYHIAUBiQkA6ZugEO4LQAqzUBJBSA3AHotkBgPxEQq8VEFlKRtAoCwOJB52oqeNw5G2CATbLYzsFoLYLWdxnPPn4YwlEIfWwvJ4ICkcUCSZGg0Tuh0SsxmSZIhSYrxTSYJNocBVocRFnVtdRhgbVDX6vcGpxYyaSA7Ncq68bOkhmjwTqNxRige40IQnKSEAHJCDQnko74kZGiEExohQyPJTdeeRjf373AZ+QRiokd4bXv3bsCmRrMQGieEVobQOKEzOBGX4ITd4US9w9loqPQuX1MDk5MU41oIHB47DYKc0EA1iEL1SFbXaPzuvk2cS8oKAaPhnDHQZRxs9CFqBUkI6DQSdBoBrUaCVlK+788RsFklkCzUuCeKLmk1Ar16AkQCBacEHA2i0d9FAIBEiIgApkxVjaduXpFOImgkAa10rj+dpLR57rMiQ6NxUXVk0UgCzz0LnK0UMEWYER1dqcxSIQGTSeD6GwScTmWcZIIa+kpAkiJAQqcYP53nZJJdRl2nctJLqn5JagJDjSTw1psCNdXq8ZFQQ1hI0EoSMtKVWOaCBA7ul1BvV/bbTsVDrlNCswSRw6xTEypjZS6A+UT0lRDiUgAfAPgjgJkAIohoeqgE7miEEFcD2ALgJyIa2UKZzQCuA3AnEb3sqz02Vp4/wXh/zZkzB2sbs382Z+3atZg3b16r5fwlPz8faWlp6NOnD/I70RXEbDZj1apV+PDDD3Hw4EFUVlZCr9ejd+/eGDduHG688UZcdtllHS0mE0L4OsL8Uvjwww9RXFzcarmkpCRMnTq1xf2y+pbd/eGW3B4qSf3z2mq+JxUB9c2+5PYg6va9MYN2iByXBc55EAR6P3RNc3I9SHdGzuf4OiPuYy57eHI0elm4dDAAvWsP3tsM3H8/MOv3LyK2WwWIAElIGDVCIC1VCZugEYBG9VbVQPV2DAkSJKGFkPTKWmggJJ36WQsh6SDUCexEMkCy22fXNEsnqHG7EkKDoK7dy/sZ4kGZ1SE3tgF1GmBevhN7spQ+hUSQJBk6LeGiYTJSkp2NfReVyDh+3BUiSPlDKoSEjIEaJCcJQGhQeEZCzl4JjgYJBw+NwObNcxFuBF55BbjhRkWOt/8F3H47FG8cAHAKhBsFVq0STQyIGzYAf/3rKVx11ZrGbVot8NtJQEaG8v3oUeDLLwCHm+3QVxkhKUYkvV7Gby51ol9fZQyUWS+usSF1horGw3tOo8YM1oJI0+S3QONnJ/JOObFnt4wRParRzdjQRC41+gBkuanMO0/GwUEajB4jIS1V8eJzxeYVQoKA0p9LP5r2J2PPbicu6l6DMJ3qeQcgKhIwqKFabTagxuwRGcqjTCDlACVsaKWRcNoq40yNBiWWeJRZ41FmiUepJR71zjAvWugfekEwaIFwHVBdLuC0SUCDYugQamBfYxhw2STFSPduK37oAAAgAElEQVTZx4pnonBCMUCSBNkpwRguYfrVEpxOCe9vETDXSoqREhKcsgZOWYIpQoM771BzFrh5twkoRj+XV5trKqtDdioe6Op22f3a6CTVm9jN0NPK/erzz86NNzk0IFkCHBJIlnDbQgl6jQZhOgl6jQS9VoKkGiOdznPXXJeXm8uTWQAI0yrlw7QadS1hwXypsQ+SJZDDtWhw+21KAjDIEl58TtO4392tWgglVKwn3o5XdhKcznMGdXdvRs97yaBBLgs4Kcfvkk2W8PwKRf7Ft7V8P12+XNHdp5/2vr8luc8XNcKRV+LiAJ0OaOmxr71l6ogxyMw89/nAAe9l2kqujuK8soG7kQIgT/18NYCNRPQfIcR+AF+fp4ydjTR1fcpHGVequzQfZZgQMWfOnGbbiouL8fHHHyMiIgKzZs1qtn/8+PHtIZpfpKam4tSpU8jLy0Nqamq79bt9+3bccsstqKiogMFgwNixY5GcnAyr1YrDhw/jjTfewBtvvIFZs2Zh48aN7SZXKAi1sZlhmF8ua7/Lx2PbDrVe8AJAuL2pF6pniEY18J37g4Mmf8IuJJpO1Tv3uTPaMIl+GWPuSdw84EtcpKSVVNm0C8CuDhPpwuEbP8s1T8qu0A/oc/dHAIDlB4Hlfzm3K+GO5sUf3A88eB/gyrjldApI1znxqSGzySz0j34A8IPbhvDmbflTZuv3gPix6ckooHobwZVw79ziy/POG+vzAyoOANjwLYBvA68H4Ny/uQ5CryGkxGiRnmzC6a0xqPzZhIaz4XBawhqvI8k9gG0fKJ+nTwPOFKmVSYDqtXDateiVpMWxvHNj7deUcqePMqqR/CJ4L/PCKmD2FSEdioBIfRw45eVfep8+wOPXhbav+2tb7uuFR899f/f/vJfr3UL0AyEUz79gSTa1LNef1GvFU0+2XObhh5XPb78dmNznS+/eLcvk8vVJTe0cMnXEGOzff+57e49DZyQQY2UNgEQo06MvB/CMur0BQGDpAjs/JnVd56NMrbqO9LZTCLEQwEIA6N2VNKqN8GaM2rFjBz7++GPEx8cHZayaMWMGxo0bh+ho77GoAiUlJQWHDx+GTqcLSXvny5YtWzBjxgwQEe6//34sW7YMkZFN1fXQoUN4+OGHcfz4+QVOZxiGaQt8eUsGwug+3XDvlIxmRj5JNJ3iJLnHp/UBqfEyG6ciOUmdHtTUUyJUuAeBd/fGczrdvENB6lQj13Stc16eru+d1WtRGTe38XT/7uy8BsBGw2orY97oeeQlzlYgetce/HHBOY8P4ZauWkiElSvbVs+bQm6eki5PRVlNCySpISFd2cQBIVzeTMriSljXVjy4rOXcZkPdwknu29dyG65ywZQRgqBkwgGGDCHFY1QQjhwlCAHUeImTN2CAsj52rOX+WisjACz5k/d9GulcrDb32ICS23nSEv6MZ0vjJAA88b/e9wXT3+jRyrmdldVy/V//+tzn71oIBtaSXPEmPXrHRiA1PhzdIw2N47IhTDEM2jwMg0/cA2Sq0QyeuMe78fCJx5v24TJI+goHEKoyHcETT7QwDk90XF/tKZO//YWqTGeUu71l6oj+2luuTol7ogtfC4B1ALIBvA7FUBerbr8WwH5/27kQFgDLoNzD1vso84Ra5p+ttTdq1Cjyl0OHDvldtqvz5ZdfEgDq06dPR4vSKn369CEAlJeX1y79lZeXU3R0NAGg5557rtXyO3fubAepQsuaNWsIAM2ZM6ejRel08HWEYRiGCYY+fUjNZtd0uQAetdoVf8fJn3KhKtMR/YWK9papvcfcX9avV+oJoazXrw+uTFegPcfB377a+7cJlb5cqHK3t0wd0V9XON8B7KaWbG4t7WhWEIgC8BKA9wFMcdv+CIBl/rZzISwA/qQaIjf7KPOiWmZFa+2xsbJt8GWsnDNnDgGgNWvWUE5ODs2aNYu6d+9OkiTR888/T0QtG7tc7U6YMIHq6+vp8ccfp4yMDAoLC6OEhASaPXs2nTp1qlmfeXl5zeRx9dHSkpeXR48++igBoEWLFrV4rFu2bCEANGbMGL/GZvny5QSAhg0bRk6n0686nuTn59PixYspLS2N9Ho9xcTE0MSJE2nDhg1ey7uPuS+Zli9f3uL24uJiWrhwIaWkpJBer6fU1FS67777yGq1NqnjMv56W+bMmUNms5mioqJIo9FQQUFBi8c4cuRIAkAffPBBQGPT2eHrCMMwDBMM69cThYc3NbqEh/8y/yCdD/6Okz/lQlWmI/oLFe0tU3uPOcMwDOMdX8ZKvwOJEFENES0homuJ6CO37cuJKEDn+05Pvrru46NML4+yTCfk22+/xdixY5GdnY2JEydiypQpCA/3EoTHCw0NDZg6dSqeeuop9O/fH1OnToUkSdiwYQPGjx+PqqqqVtvo378/5syZg4iICADAzJkzMWfOnMbFZDJh4cKF0Ov12LBhA2pqary28/LLSg6nO+7wErDIC++//z4A4JZbbglq2t8PP/yA4cOH4x//+AcAZcr8mDFj8O2332L27Nm45ZZbXEb7kFFQUIBRo0Zh27ZtuPjiizFx4kSUlpbi6aefxvXXX9+k7KxZs3DJJZcAAPr169dkTMePHw+TyYR58+ZBlmWsWrWqxWPMzs5G3759MWXKlJAeC8MwDMNciMyercSs69NHmQrbp0/TOHeMgr/j5E+5UJXpiP5CRXvL1N5jzjAMwwROqzEr1diLbxKRXf0+BMBRInKo3yMA3EdEf21TSduXn9T1ECGEkYisXsqM8SjbLhT/7//CfvhIe3Z53oQNGoikZcs6pO/XX38dDz74IB599FFIUmBBvr/77juMHj0aJ06cQGJiIgCguroakyZNQnZ2Nl5++WU8+OCDPtsYP348xo8fjx07dqCurg4rVqzwmmDn+uuvx/r16/HWW2/hzjvvbLIvNzcXn3zyCeLi4vCHP/yhVbkdDgf2qYF9xowZ00rp5thsNlx//fWoqqrCXXfdhRUrVkCjpmI8cOAAJk+ejHXr1uGSSy7BokWLAm6/Jd544w0sWLAAL7/8MvR6PQAlq/XYsWOxdetWfPvtt40GyhUrVmDt2rX49ttvMX78eK8xS++44w6sXLkSr7/+Oh566KFmsURfeeUVAMDixYsD1g2GYRiG+aUyezYbWvzB33Hyp1yoynREf6GivWVq7zFnGIZhAsOff+j/AOCegeR7AO4ZY0wAfFtsLjCIqABKfE49gN977hdCTADQE0AxlPFgOikDBw7EI488EpQxSgiBN954o9FQCQDR0dG47777AACff/55yORcsmQJADR6Mrrzj3/8A0SE+fPnw2BoPZdVRUUFnE4nADSR3V82btyIgoICpKam4m9/+1ujoRIAMjMz8cgjjwBQDIahpFevXli5cmWjoRIABg0ahJtvvhlA4OOdnp6OKVOmoKioCJs3b26yr7y8HP/5z39gMBgwf/788xeeYRiGYRiGYRiGYZiQ4E82cM85pJ0jXWHb8ySAjQCeFkJ8R0S5ACCESATwilrmKVJSFbYbHeWheKFy7bXXNjG2BULv3r1x0UUXNds+cOBAAMCZM2fOSzZ3xo4di7Fjx2LXrl3YsWMHJk6cCACwWq1Yu3YtJEnC4sWLQ9afL3bu3AkAuOmmm7xmNp87dy5uv/125ObmorCwECkpKSHpd9KkSTAajc22n894L1myBB9++CFeeeWVJlPJV69eDbvdjrlz5yI2NjZ4oRmGYRiGYRiGYRiGCSk897EFiGgTFK/SJAD7hRBbhRDvAjgOYDCA9wD8vQNFZPygTx9fYUd907t3b6/bo6KiACjTpUPJn/70JwDnpicDwNtvv43KykpMnToVaWlpfrUTFxfX6ElaWloasByFhYUA0GJ/BoMBycnJTcqGgrYY7ylTpiA9PR07d+7EoUOHAABOpxOvvvoqAP9jgDIMwzAMwzAMwzAM0z6wsdIHRHQ7gNlQpoRPAHAlgFwAdwKYSURyB4rH+IE3Tz1/ae84hr///e/RvXt3vPfeeygqKgJwznB5++23+92OVqvF0KFDAQBZWVlByxNMYh5fuKamt0RbjLcQojEGqGsst2/fjvz8fIwZMwajR48OeZ8MwzAMwzAMwzAMwwSPv9aBaUKI3wkhfqfWudLt+7S2E6/jIaL/I6JLiCiKiCKIaBQRvdze07+ZXz56vR6LFi1CQ0MDXnvtNezatQu7d+8OKlv1NddcAwB46623ApbDNa375MmTXvfbbLbGKdnuU8BdsSZra2u91jt16lTAsoSCuXPnwmQyYd26daitrW00WrJXJcMwDMMwDMMwDMN0Pvw1Vq4GsEldjABedvv+etuIxjC/HFyGPIfD4bPcbbfdBp1Oh1WrVmHlypUAgstWfeeddyIqKgo5OTl44YUXWi3/9ddfN36eMGECAOBf//qXV3nffPNNEBH69+/fxFjp+nzkSPNs9VarFTt27AjoGFrD3zGNiorCnDlzUFNTg0cffRQff/yx35nVGYZhGIZhGIZhGIZpX1q1gBCR5McSXAYThukiuAx5hw8f9lmuR48emDlzJgoLC7Fhw4ags1UnJCRg7dq1EEJg6dKlWLZsGcxmc7Nyx44dw4033tgYLxNQpqP36tULeXl5eOCBB5pM3z506BCWL18OALj77rubtDV58mQAwLp163D06NHG7VarFYsXL8bPP/8c8HH4wt8xBRTjrRACzzzzDJxOp9+Z1RmGYRiGYRiGYRiGaV9CHiROCPGBEKJHqNtlmAuZGTNmAABmz56NWbNmYcGCBViwYAEqKiqalXU3HN5www1BZ6ueMWMG3nvvPcTExODJJ59EYmIiJk6ciJtuugkzZszA4MGDkZGRgbfffrsx4zagJND5z3/+g5iYGKxYsQIDBgzAjTfeiCuvvBLDhw9HSUkJbr75ZixcuLBJf+PHj8f06dNRU1ODkSNHYsqUKZg+fTrS0tLwySefYN68eUEdR0uMGzcOSUlJyM7OxujRozFnzhwsWLAAa9asaVZ24MCBuPzyywGgXTOrMwzDMAzDMAzDMAwTGG2RQeRSKFPFGYZRufPOO/HYY48hJSUF27Ztw+rVq7F69Wqv3o5jx45tzIB9vnEVr7nmGuTl5eGZZ57BxRdfjMOHD2PTpk349NNPIYTAggULsGPHDvzrX/9qUm/cuHHYu3cvbrvtNsiyjHfffRc//vgjLr74Yqxfvx5vvvmm1wQ8GzduxP3334/ExER88cUXyM7OxrRp05Cdnd1itu9gCQsLw0cffYRp06YhLy8P69evx+rVq7Fz506v5V3GykAyqzMMwzAMwzAMwzAM074IIgptg0KYAQwjIu/ZObogo0ePpt27d/tV9vDhwxg0aFAbS8R0Zt5//31cd911GDt2LH788ceOFucXw4gRI7B3715s374dU6dO7Whx2hS+jjAMwzAMwzAMwzCdGSHEHiIa7W1fW3hWMgwTJA6HA4899hgAYOnSpR0szS+HzZs3Y+/evRg0aFDAmdUZhmEYhmEYhmEYhmk/tB0tAMMwwJo1a/DVV19h165dOHToEH71q1/h+uuv72ixLmgqKipw3333obKyEtu3bwcAPPPMM16nrzMMwzAMwzAMwzAM0zlgYyXDdAJ27tyJN998E926dcP111+PF154gY1q54nZbMbq1auh1WrRv39/PPDAA5g2bVpHi8UwDMMwDMMwDMMwjA/YWMkwnYC1a9di7dq1HS3GL4rU1FSEOiYvwzAMwzAMwzAMwzBti98xK4UQlwohmhk3hRBaIcSlbpv+F0BlKIRjGIZhGIZhGIZhGIZhGKbrEEiCnS8BxHrZHq3uAwAQ0ZNEVHW+gjEMwzAMwzAMwzAMwzAM07UIxFgpAHibUxkHoC404jAMwzAMwzAMwzAMwzAM01VpNWalEGKL+pEArBdC2N12awBkAviuDWRjGIZhGIZhGIZhGIZhGKYL4U+CnQp1LQCcBWB121cP4BsAr4VYLoZhGIZhGIZhGIZhGIZhuhitGiuJaB4ACCHyAawgIp7yzTAMwzAMwzAMwzAMwzBMyBFE3sJQMqFECFEG4JQ/ZT/99NOLkpKSHG0sUkiRZVmr0WguKJkZJlAuJD0vLi7WXn755fs7Wg7mgiQeQHlHC8EwbQzrOdMVYD1nugKs50xX4Jes532IKMHbDn+mgQMAhBCxAJ4AMBlAIjyS8xBR1PlI+EumpcH3Rk5OTn5mZuYFpYgHDhwYlJmZebij5WCYtuRC0nNZluOJaHRHy8FceAghdrPuML90WM+ZrgDrOdMVYD1nugJdVc/9NlYCWA1gBIBVAM7Ae2ZwhmEYhmEYhmEYhmEYhmGYoAjEWDkZwOVE9GNbCcMwDMMwDMMwDMMwDMMwTNdFar1II6UAattKEObCJT4+vqw9+pk4cWJ/IcSo3//+96m+yn3wwQcmSZJGRUREjDhy5Ig+kD6OHj2qF0KMSklJuei8hA0xR48e1S9evDglMzNzULdu3YZptdqR0dHRw4cOHTpw8eLFKXv27DF0tIy/dNpLzxmmg1nV0QIwTDvAes50BVjPma4A6znTFeiSeh6IsfJBAI8KIUxtJQxzYZKUlNQuMTbXrl17KioqSt60aVPcv//972hvZWpqaqTbbrstlYjw8MMPFwwcOLC+PWRrS+69994emZmZma+++mrS6dOnwzIzMy1XXXXV2eHDh9cWFhaGvfrqq0ljx44d8sQTTyR2tKyBMnPmzFQhxKiVK1fGdbQsrdFees4wHQkRdcmHIaZrwXrOdAVYz5muAOs50xXoqnoeiLHyLwCuAFAqhDgshNjnvrSRfAzTSGpqasNTTz31MwAsWbKkT3l5ucazzJIlS1JOnz4ddskll9Tcc889F7xxadGiRT2feeaZZIPB4Fy5cmV+RUXF3q+//vr4li1b8nbu3JlbVlaW88477xwfOHCg5cSJE2EdLS/DMAzDMAzDMAzDMMz5EEjMyk1tJgXTBIvFElZVVRVtsVgiLBZLeH19vQEAUlNTT8bHx59tqZ7NZtMVFRX1MJvNUQ0NDXpJkmSj0WhJTEwsjY2NrQ51PQAoKyuLLSsrS7DZbEYAQq/X2+Li4sqTkpLKhBBBj0FlZWVUaWlpd6vVGuF0OoVer6/v1q1bxaJFi0ree++9bp988knMrbfe2mvz5s35avnoDz74IGHdunXRJpMJy5Yti8zOzh4RFhZmi46OPpuUlFSq1WqdQQvUAbz33nuRq1at6q7Vaun9998/PmnSpDrPMpIk4Xe/+13NtGnTzF9//XV4R8gZLBaLJUyWZQMAnD17NmX37t2pQOfS89zc3NSqqqoWvT71er1t6NChB/0+aDeICMXFxQkVFRXx6jlOBoPBmpCQUJaQkFDprU5RUVFibW2tyWazGR0Oh87pdEqSJMkGg8EaFxdXnpCQUHk+5x0TWoQQOgCXArgKwAQAAwAYAJQB+B7A34loh4/6NwFYDGAoAA2AIwDWAPgHEbV4PRNCTAGwFMBotb+TAP4FYAUR2X3U+xWA+wFcAiAKQAGAzQCeICKf9wJfCCEyADwEYBKAOADFALYDeJSIiryUHwxgIYBRAFIBxENJ6vczgM/U48gPVh4mtFwoei6EmKu264seRFTcSplQyXMVgJlQklcmA4gFYANwFMp5t5KIOPxSJ6G99VwI0QvAdCj6NAbAYLXePUS0wg95g7oP+NFuQPcJIcSvAdwMYCSAXlDuAQ2qPNsBPEtEHGank3Ch6LkQ4mEAy30cip2Igg6RFcRxzAYwBcBwAEkAYqCEzzsI4G0A/ySihmDlYUJLe+q5EEICME7taxKAQQBMACoB7AGwiojea0XeLns9F0Sc1LszkZOTkx8dHW0sLy9vNqXXlxHHbDaH5+bmDpBlWaPT6eqNRqPF4XDorFZrOBGJxMTEot69e58JVT0AyMvL611RUZEghCCTyVQjhKDa2toop9MpRUVFVaWnp58IxnBSWFjYvaioqCcAREREmDUajaOuri5SlmWt0Wisi4qKOjls2LBBZ8+e1a5fvz539uzZ1Tk5OWnTpk2LLSwsxOOPP27t2bNnw9y5c6NGjhyJf/7zn9Dr9faBAwce0ev1DkCJATlw4MCLkpOT6wsLC/e7+nbfnp+fv3/58uVJb7/9dlxhYWGYyWSSJ0yYUP3000+fSU9Pbza9/L333ot85513uu3atctUUlKit1gsUnx8fMO4cePMf/nLX4pHjhxpC2Qcxo4dm5GVlWWaO3du6Zo1awoCHkgAn376acSKFSuS9uzZY6qurtZER0fLo0ePNt9zzz0lkydPbmb8TElJuejMmTP6I0eO7M/IyGh2jC6Ztm7demz69Olmb9ujo6Pl5cuXJ2dnZ5usVquUmppqu+2220r//Oc/N3q6usa5JblffPHF/AEDBtinTp2akZaWZjt58uRBoLm+WiwW68SJE6OFENi2bRsGDBgQUj13GSvDw8Nr9Xp9s5uBTqdr6NOnT2FLx9ESRIRjx471M5vNMZIkySaTyUxEora2NoqIRFxcXGlaWlqz33zv3r1DZVnWhoWFWXU6XYMkSc76+nq91WqNAIDIyMiqAQMGnNi3b1/8sGHDUgOViwktQojLAHyqfi2G8lBSB+VhPFPd/hgR/dVL3ZcB3A7FePE5lIeByQAioTxIzGrhgfleAE8DkAHsAHAWyoNYAoAfAEwmIouXejcCWAfloetbAIVQHq56A8gFcAkRlQYxBhMAfAjACCAbwHEAwwAMhPJQOJ6IjnnUWQDgNQBFAI5BGbtIKA9HSVDG8Coi+ipQeZjQc6HouZux8gSAb1o4nP8OxjAfpDzrAcyGouP5ACoAJAK4GEA4lHPl0mCNp0xoaW89F0LcBeB5L6K0aqwM9j7QGsHcJ4QQj0MJJZYP5dwrg2KYHwOgG5ScCBOJ6HCg8jCh50LRczdjZQ6AvV6KNBDRrS3V90WQx/ENlGv3ISgGn2ooL6EuBqCDct5dRkTN/nsx7U976rkQoj+U+zmgGCh3Q7km94VyHQSAtQDmkxfDXJe/nhMRL51o2bt3b35RUVF+fn5+cWlp6QmLxbL/0KFD5qysLCorKztBRLs9F4fDsWfv3r32rKwsOnnyZIksy437qqurD+/Zs8eRlZVFlZWVx0JRj4h2l5WV5WZlZdFPP/1UX1dXt9+13W637923b581KyuLCgsLf/Ymr6+lpqbmUFZWFu3evVuurq4+7Nre0NCQffDgQXNWVhbl5eWVrFmzJhcAxcfH1xcXF/80e/bsCgD029/+toqIdm/duvUoABozZozZVe/48ePlrvaOHDmyDwAlJyfb3ft3337FFVec1el0zksuuaR62rRplUlJSXYAFBsb27B37979nrL36tXLptfrnYMHD6677LLLzl522WVne/fubYPiMSd/9NFHR/wdh9LS0p8kSSIA9PXXXx8KdByJaPdTTz11ytVGZmZm3fTp0ysyMzPrAJAkSbRixYp8zzrJycl2AHTkyJF93tocM2aMGQBt3br1qLftixcvLtJqtc709HTL9OnTK0aMGFELxSOK/vrXvxa4yp85c2bvtddeW9uzZ08HABoxYkTd1Vdf3TBt2jS67rrralxjlZGRYQFA77///lFv+vrAAw+cBkAzZsyoags9P378eHlWVhYVFxfnBfMbtLScPn26ICsri/bt22e12+17Xdvr6ur2//TTTw1ZWVlUXl6e61mvqqrqiMPhyPbcXltbe8BVr7i4OG/v3r35/lxveGnbBcob1E0AfuNl3x8AONTz47ce+2aq24sApLtt7w7lQZigGFU82xwNwAnlgetXbttNAHaq9Z73Uq8nAAuUB6Fr3bZroXgEEIDNQRx/hHoMBOBOj30r1O17oL44dduXCiDDS3s6AM+p9fI86/HCet6Kns9V960N8fEHK89wAN29bI91q/dmR/++vDT+Lu2t59cCeAGKF8sgAG+pZe9uC3304/iDuk9AeTHV28v2CLd6Ozv69+Wl8Xe5UPT8YbXcwyE+/mCPYyyAGC/bewI4rNZ7pKN/X14af5d203MA/aAYNacA0HjsmwDFA5cAzPMiS5e/nvvtWSmEMKsCeIWIovxqiPFJTk5O/rBhw5rEWjx8+HBGXV2dKTU19WTO9jJTZWFtk+m+slPW1jfYDUIIMuiNzd7YOOQGXYOjIUySJDlMZ7Cebz0AsDfYwp1Op6TX6W0aSevwkEdT32A3utqNTTFZJt8yyC/PwGPHjvWtqanp1r179zO9evVqMj3QarXqDx48eJEQgoYNG5bzu9/9rvfWrVtjhw4dWrd///6I6Ohox759+w726tXLsW3btsirr756wJgxY2o//fTTwuPHj2dotdqG4cOH7wNa96wEgNjYWMcnn3xydNSoUTYAsNls4oYbbkh9//33YzMzMy379+9v8tZg3bp1MVOnTjXHx8fLrm1OpxPPPvts/L333tunb9++tuPHjx+UpNZDxW7ZsiXy2muvHaDT6aiuri5bp9P5M3yNfP/998bf/OY3g4hIvPbaayfnz5/f6JG7atWqbosXL+4rSRJ99913h8aMGdPo8Xm+npUA8Pzzz+ffddddFa59r7zySuwdd9yRZjKZ5DNnzuyLjIxsfNs0c+bM1HfffTfuxRdfzL/88svjXXru8iB+/vnn45cuXdrnyiuvPLtu3bqqU6dOpen1entmZuZBIqLevXtfdObMGf3OnTsP9+vXL7KoqKhneHh47eDBg4+6+igrK4t1r6cacBtxefJ61gPOeVb26tUrv3v37hUIAUSEvXv3DpNlWZuenn40Ojq6yTS/kpKSuIKCglSj0WgZMmSI32+mCgoKepSUlCRHR0dXWiwWM3tWdn6EEK8D+COAN4joj27bd0OZAj2HiN7yqDMBypvVYgAp1PTt7SYoD1LLiehRj3p9obzZdUAxkFS57VsB4H8ArCGi+R71XNNCogAMITUCVNwAACAASURBVKJDARzfnQBeAvAlEU3y2KeBMt21H4BpRLTdzzZ1AGqgTIPJIA+vTKbz0Yn0fC4Uz8o3iWhuCI8vKHlaafM3AL4CUEREyaGSlWk7Qq3nXtpfC2AOWvc4C7k+qnVDfp9QpwD/DOX/pZHOYzoj0z50Ij1/GIpn5SNE9HCQh+Ot3ZAch0e9m6EYYb8nol+HSlam7WhrPfeo9xcAjwH4gogme+zr8tfzQBLs3AlgiduyFIrrqAWKOyjTQTidsgYAJEnj8LZfkjSyUs6pIZA433oEEk6nU4IAJA9DJQBoJI0shCAiEk5y+q1jTqdTmM3maACIj49vFrPPaDTWh4eH1xKROHv2bPRrr732c0JCQsO+ffsiiAh/+9vffu7Vq1czeYQQ5L72l//5n/854zJUAoDBYKDXX3/9Z5PJJB84cCD8k08+iXAvf/PNN1e5GyoBJabkPffcUz5ixIi6kydPGrKzs/2Kn1JSUqIFgOjoaEeghkoAeP755xNlWRbTpk2rdDdUAsDChQvPTp069azD4RDPPvts94Ab98GVV1551t1QCQC33357Zd++fW21tbWab775JqC4mrfeemtFdHS0/Nlnn8Xk5uaaACU0gCRJ9O9//zv6zJkz+szMTMull15qiY6OrgEAi8Viqq+vb4zHW1dXF+5ez7OPluq1FTU1NSZZlrVarbbB01AJAPHx8WeFEGS1WsPtdrvfP75Lv70dI9Np+Uld93RtEEL0hPIgVA9go2cFItoJZapGEpTpGq56egBT1a8bvNQ7CSUOjx5K3Bx3rvNRrwbAVo9y/uKrXRnKW9hA23WqCwDwH9sLg86i5yGnDeVxPcuwjl84hEzPg6WNz4+2uE843Nayr4JMp6HD9bytaMPj4Ov5hUd76nmzvtT++HqOABLsENGb3rYLIbKhzNN/KVRCMS3jzUPx5MmTfSorK+MTEhIqvMXPs9vtuv379w8FgL59+xa5kokEW6+ioiI6Ly+vv8FgsGRmZh71rAcAx44d61dTUxOTkpJS3qNHD78CrVqtVgMRSRqNRjYajV4v6OHh4RaLxWKqq6sLT01NrbzrrruKHnzwwd5Dhgyx3HrrrV7jeZ45cyYZAKKiovx+4wAACxcubGYwjY+PlydNmlS9ZcuW2M8//zzyiiuuaOKReuLECd27774bfeTIEaPZbJZkWRYAUFZWpgWAQ4cOGUaPHh1Q7Mpg+OGHHyIBYN68eV69AefPn1/+wQcfdPv+++8jQ9nvVVdd5TXWV79+/WwnT540FBQUBGR5NZlMdOONN5a9+uqrSevWrYuYP38+tFrFQP7qq68mAsDChQtLAUCn0zUaqmtrayNc+up0OjUAGut50lI9d8xmc6TVajU6nU6NVqttiIyMrI2JiakJJiarxWIJB4Dw8HCvcWs0Go0zLCzMZrPZjHV1deFhYWGtxk+zWq36ioqKBACIjo6uqq2tbXOjKxMS0tW1uxf5CHV9kIis8E4WgBS17Hfqtgwoce4qieiEj3qXqPX+D2h8g9rPbX9L9Wa7yeYvrvK+2nUv5xM1SPlDUI4zB8obXKbz0+F67kF/Ne5SIhQv3WwAWyi4ZDahkKcJQggTAFecrC1ByMR0DKHU82AJuT4CbXOfUP+IP6Z+/ZCIvD6jMZ2OzqDn7owUQjwNJV5eJYAfAXxARM1mh/lByI9DCBEP4B71K1/PLxzaU8+99QXw9RxAYNnAW+JLKLEmmA5Cq9U2AIDdbg/ztt9mszVut9vt+vOt5yqv1+tbvBHodLp6X2230J/eva43XElO6uvr9QBgMpmcABAeHu4EgJqamojS0tKEiooKHQDIsmyqra2FyWSq7tWrl9+JUCIjI2VPL0kXffr0sQPA6dOn9e7b//znPye/9NJLSS4DpTeqq6s1/vTfvXt3h1pe63A4oNUGdqqWlpbqASA9Pd2r0XfAgAF2tVzgbps+SE1N9frbRUZGygBgs9kC8eYGACxdurTstddeS9q0aZPhlltugd1uDzt48GDYN998ExUTE+P44x//WKm2HVI9d8czI3hpaSnCwsJsffv2PRkREdHSDcsrrj5aOX/sNpvN2JI8JSUlcWazORKAcCXYISVRUHF8fHxVYWFhfCAyMe2PECIJSgw9AHjHbVeauj7lo7rLSJfmti3NY5+/9VLVdZX6NtXfej5RH4Zi1a8tHYvPdoUQ3XAu8H43KDH+ekOZ9nIj+RvHhukwOpGeu3OJurhzVgixkIg2+WjXG+ctjxDiYgCLoMx2SoTikRENJTHVQwHKw3QAbaDnwRKK88Mbqeo66PuEECId52bixUNJyJAI5U/x4gBkYTqITqTn7lytLu6cFkL8l+rpFgjnfRxCiKuhTNvVAOgB5V5jgJJA5e8BysN0AO2p50KIcAB/8tKXextd+noesOHACzcAKG+1FNNmREVFmQHAbDZHe5s2WlpamuD6LMuy5nzrOZ3K1G5JklqMxaDRaJxqWb+Mc+5lJUlq0XXY1WdL7dpstrCqqqo4m83WGEM1Ojq6sm/fvvlarbZRXlkO7WyTtWvXxrzwwgs9DAYDPfvss6cOHjy432w2ZxPRHiLaM3369EoA8Pe/9cUXX2yRJAkNDQ3ihx9+CGjqtDvBeP75wun0HX7Dn3icgZKenl4/adKkqrKyMmnnzp0wm83RL7zwQnciwh/+8IeK8PBwAkKv54DiyZuSklIwaNCggyNGjPjpoosu2te3b99cg8FgtdvthmPHjg0IZKo24J+eu84fT3lc1NbWmqqqquKqqqpiLRaLCQCSkpIKU1JSmmU0ZzofQggtgPVQDBKfE9FWt90mde0rY6TLA8zdM7q967WGye1zS2231m4ElNhVcwBcA8VQuRfA74kzx3Z6OpmeA4rXwuNQEiHEA4iBkql1MxRj+L+FEFf6aNcboTh/+kHR8ZsBXAllvN6GEmy/pT8STCehjfQ8WNr6en4+7XbHuev5NCh/bD8HcAMR8bNLJ6eT6TmgZCJ+AMpLzGgomZEnQUk60hPAdiHE0ADbDMVxDIOi4/8FZeapAYpT111E1BCgPEw70wF6/goUg+AhAKs89vH1HAEYK4UQ+4UQ+9yW/UKIUgCPAvjfUArFBEZMTIxZjeUoHTt2bEBVVVWkw+GQrFZrWF5eXq/q6upYb/Eag63XmUlMTKwcPXr0ntTU1CMAYLPZ6mtra6MOHjyYWV1d3fjn+cSJEz49Ps1ms6aiosKroejUqVNhAJCSktJ409m0aVMsACxbtuz00qVLywcPHlxvMpkaxy4/P9+vWJUuEhIS5JEjR9YCwOrVq+NaK+9JYmJiPQAcO3bM63G6ticmJja5cep0OgKAmpoar9eGM2fOePX0a2uWLFlSCgCbNm2SbTabtHHjxgRJkrBkyZLyttTz5OTk0h49epRGRETY1OnZDbGxsdWDBw8+bDQa62RZ1p45c6ZHWx+/J/369Ts1evToPSNGjMgeNGjQwbi4uNKSkpLkw4cPDwrUeMp0CK9CeYgtgPJAy3iBiE4TkSAiASAZSuwcCcAeIcSffNdmOgGdSs+J6GMieoiIsoiogoiqiegHIvodlCzzEoBnO0Cu9aqO6wD0BXAHlHE7JIS4tL3lYQKmU+l5Z4WIvlH1XAPlxdPNUPT9gBBiVocKx/hDp9JzIlpHRE8RUQ4R1RBRORF9SUQToXiohaMD7BNE9Liq52EABgD4C4AFAHKEEIPbWx4mYNpNz4UQD0Ex9lUDuP5CSjDWntfzQOaWek6NcQIoA7CDiI6ETiQmGPr3738iNze3n8ViMeXm5g5w3xcfH19aV1dnslqt4Z5x+4Kp5+bd2KKxW5Zll/dlo/fY6dOnk2w2WzOjXf/+/fPdy/ryxnTz6vTpGpmWltYAAAUFBZpevXodz8/PH5iXl9f3oosuOqDRaJzbtm2L9lUfAF577bXY+++/v0m8zYqKCs0XX3wRDQCTJ09uzIZ99uxZDQD07t272Vuz7Oxsw+HDh42t9efJ/fffXzRr1qz09evXJ9xyyy0Vv/3tby0tlW1oaMBXX30VMXny5DoAGDdunLmgoCDszTffjJsxY0Yzz4w1a9bEAcDFF19sdt/evXv3+lOnToUdOHDA6J4lHACysrIMxcXFITVW6vV6AgCHw+HTBfTqq682p6enW3fv3m18/fXX66urq/Xjx4+H1WodcvDgQQCh13NfSJJESUlJRXl5ef1ramqa6FJubm6qZ3mDwWDr2bNnsVq3VT13nT8ajcannms0GoqIiLBFRESc1ul0DUVFRT1PnTrVG8qNj+mECCFehJJhsBjAZCIq9ijiepsZgZZxvXhxP3/btZ4Q4jp4D7z9lPpM4B7/LwLeddKbPF4hoiIA7wshvoISr/J5IcTXRPRTK1WZDqAT6nlrPA7gvwEMEUL0JqKfAUAIcT+AgZ6F6Vw28ZDJo8Z4ygPwihBiD4BvAWwQQmQQUYv3f6bjaEM9D5Zgr+cLAIz3UvZuIioPtl1vqBlyCwCsF0J8C8Vbfo0Q4jv2sOycdEI9b41HoUzFvlwIoXN5NKoZkD3DJJUT0d3q51DqeT2UkDVPCCGOQLGjvCWEGMMhbDon7annQoilUPS0FsBUIjropRhfzxGAZyURPeKxPEZEr7KhsnOg1+sdgwYNOtqvX7/jCQkJxbGxseWJiYlFGRkZh1NTUwsaGhp0ABAeHm4933phYWFN4kZ6o6GhQe9eFlCm4apTV5ssbu3Wu9f1hqtPX/H+AGDAgAH1vXr1spvNZs1zzz0XGRYWZnU4HDqz2Ryxbt26mDVr1iT6qg8AK1asSHbP3m2328XChQt71dbWaoYMGWK58sorG/+Mp6en2wBg9erV8TabrdHwVlhYqJ0zZ06arziWLTFz5sya+fPnlzocDnHNNdcM+Pvf/x7nOX3d6XRiy5YtkSNHjhy0YcMGV3w4/PnPfy7VaDS0bdu22LfeeivGvc4bb7zRbfv27bFarZaWLl1a6r5vwoQJZgB47rnnkiorKxuvD7m5ubp58+alhfr+mpycXA8Ahw8fbtXz9NZbby0FgLVr1+oB4JZbbjnblnreGkaj0QYADoejiSejNx13ZblXZakH/D5//A4QnpiYWA4o5xmA0M7/Z0KCEOJZKLFpyqA8CB33UixfXffx0VQvj7Lun3sHWM8VeydGjTPpb73hODcFxH1JAhqzCbqSnrV0LN7a9QkRnQXwPpTnl0CzkzPtQCfVc5+oeuW6H6a47ZoC73re1vL8COAwlOmMv/K3HtN+tLGeB4urjUD1cTy867nrD2uw9wmfEFEegK/UfgINwcC0A51Uz1vDZZvQo6lxchaa67i7F5hLtlAfx7tQkrmNwrl4gUwnoj31XAixBMosDiuA6UT0fQtFXW106et5wAl2hBCTAAwGQFCyIe0IlTDM+SGEQLdu3Wq6devWxJPOarWGORwOnUajcZhMpmZv5wOtFxERYQEAu91ulGVZaDSaZhYsi8USASgx/1zbBg0a5DVzuIvw8HCbEMIpy7LGarWGecsI7q3dlnj44YcLFyxY0PfJJ59M2bx5szMlJQUFBQWpx48f1995551FL730UovTd3v06FGfmZlpGTdu3OBx48aZo6Ki5D179kQUFxfrY2JiHG+++Waee/l777235J133onbsWNHdFpaWubw4cPrbDabtGvXrsikpKT6yy67rOqzzz6Laam/lnjttdcKYmJiHC+++GKPJUuWpD700EM9hw4dWhcdHS2bzWbNgQMHwsvLy3UajQazZ89ujB178cUXWx9//PGCZcuW9Z4zZ06/Z599tq5Pnz72/Pz8sP3790dIkoQnn3zy57FjxzYxzt1zzz2l69atiz9w4EB4RkZG5ogRI+pqamo0+/btixg6dGjdiBEj6n766Sdfb2ICYubMmVUvvPBC8htvvNH94MGDckJCAnQ6XcKiRYvqL7/88iaxNG677bbKxx9/vGdNTY2mZ8+e9vnz55/UaM45J4Zaz1vD4XBogeaxW0ePHr3HVz3X+ePSZU9kWZbsdrvRvaw/aLVaWQhBRCR8eT0zHYMQ4m8AlgKoAHAZER1qoajLU3CIEMLYQsbBMR5lAeXh3AogVgjRr4XMgWM96xFRtRDiBJS4eWOgxJzxp97DAB5u4RhcZEOZTjMGwD5/2vUTl8d7qy+dmPals+q5H3JroMSoAty8gtUphb5oE3lUWM87Ke2g58ES7H1gLs4llGhGsPcJP2E976R0Yj1vDffwWe7X89RW6rXJcRARCSEqAERB0fO8Vqow7Uh76rkQ4g4AKwHYAFzTShIovp4jsJiVKUKIXQA+BXAfgPsBfC6E+FEIkRwqgZjQU1RU1B0AYmNjyyVJ8ts1rqV6BoOhwWAwWIhIVFRUxHrWq6qqMjkcDp1Wq22IioryFby1CZIkUWRkZA0AlJeXN2vXarXqLRaLSQhBsbGxrU5znT9//tl169blDhs2rC4vL0/64YcfEBUV5di4cePxO+64w2dSKCEEPvjggxN33XVX0c8//xz26aefxtjtdunaa6+t/OGHHw6PGjWqyRTpwYMH12dlZR2aPn16JRGJL774IiY3N9dw0003le3atetIVFRUUBl9JEnCs88+W7Rv374DixYtKklOTq7fu3evafv27bF79uwx9ejRo/72228vzs7OPuA5Zf3+++8v++ijj45cfvnlVadPnw7bvn17t8LCwrArrrii6uOPPz5y9913NxuDhIQE+euvvz5yzTXXVDocDrFjx47o4uJi/eLFi4t37NhxXKvVhtS18te//rX19ddfP5mZmVmXk5Oj2bJlC955551Ib56WkZGRTlccz3nz5pW5GyqB0Ot5a1RWVsYCgNFo9FvHASAqKqpWo9E4HA6Hzj2Oqovy8vJuRCSMRqMlLCzM72Dc1dXVkUQkJEmSWwuTwLQvQoinANwDxdPwciLyZrgDABBRARQjnx7A7720NQGKt1UxgO/d6tVDyR4MALO91OsLJZlIPYAPPHa/76NeFM5l2tzcktwt4KtdDZQEfcG0O0lde3vzzXQQF4Ce+2I6lBhnZpzzymmVtpJHPe9GqV9ZzzsR7aHnwdKG5wfQBvcJNZmFKy4r63knojPruR9cr66PEpHf087b6jjU8y4VSgi9k/7WY9qe9tRzIcRtUDLC2wFcR0Sf+ZKNr+dqu/5O6xRCvAMlwP1Nqpuna5DWAzhDRBwcOQTk5OTkDxs2rIkR6fDhwxl1dXWm1NTUk/Hx8We91aurqzMaDAa7K4swoEwRPnPmTFJxcXGKXq+3Dxky5JD7/vOpV15e3i0/P7+vVqttyMjIOOrygqyvr9cePXo0w263G5KTkwuSk5ObTDNuDbPZHH706NFBQghnenr60aioKAsAOBwO6fjx4+l1dXWm+Pj40tTU1AJXnfr6em1FRUW3hISECveM3wBgs9n0+fn5fWpra6OMRqNlyJAhnEG2k9KanhcWFmrT0tKGSpKEU6dO5XTv3t0V+7FN9Ly2ttZYX1+v79atW7V7VnWn04mioqLuRUVFPQGgX79+xz29NVujsLCwe1FRUc+wsDBbRkbGUb1e7wAAi8USduzYsQyHw6FLS0s7ERcXV+WqU11dbZJlWRMTE1PtmXW9uro64tSpU2n19fVh8fHxJdXV1bZhw4alBiIT0zYIIR4H8CCAKihvbH163qp1ZgHYCOWB5zdElKtuTwTwJZTZDXcR0Yse9cYA+BHKm9jfEtEudbsJwDYAEwC8QER/9qjXC8BRKAHhZxDRFnW7FsA6KEbF94hoRoDHboLywJIE4E4ietlt3zMA7oby1naUewwnIcRdAN5RHwzd24uCEqz+HihGpYEc46xz0Nn1XAgRDmUa1DoiqvVobxqANVCyyT5FRA8EeOzByJMIJabaBvLI+C2ESIUS5P9KALuJaAyYTkF76rmXdtZC0eF7iGiFj3JB3Qf8OI6g7hNq3NfX1Vhp7tsTAayAkpihAMr1nGOzdgI6u54LIXpDmer6DrklJRHKw/p/AfgnACOA24jon63Jfr7HIZTEOcMBvEtENo/2MgGshfLy6R22l3Qe2vm55VYoelkP5fr5IfyAr+eBGStrAEwkomyP7aOhpHZvNWEJ0zo5OTn5ffv2tfz888+N8QnsdrvR6XRKer3ertFoGhOADBkypPHtf25ubmp1dXU3o9Fo0el0DU6nU1gsFpMsy1q9Xm8fMGDAMYPB0Cz+XbD1AODkyZO9KysrE4QQZDKZaoQQVFtbG+l0OjVRUVFV6enpJ9yNPP7iMuQAgMlkqtFoNHJtbW2kLMtao9FYN3DgwGPuRiWbzaY/cODARUIIMhgMFr1eX09EaGho0NtstnAiEnq93p6enn7MaDT6HQOQaVvMZnN4IHo+b968XmvXrk2cOXMmPfroo3VtrecVFRUxeXl5/TQajWwwGOp0Op3D4XBobTab0RWnskePHqdTUlJKAj12IsKxY8f6m83maEmSZJPJZCYiUVtbG0VEIi4urjQtLa2JoaakpCSuoKAgVZIk2XUcsixr6uvrw+x2uwEAIiMjq/v373/iwIEDcWys7HiEENfg3NvL3QC8BdAGgCNE9JRH3VcALIYyVeQzAA1QplRHAXgPwCwiauZBK4S4F8DTAGQAX0B5CJsAZUrGjwAmeXuAEELcCOUBRQLwDYAzAMZBic2TC+ASIgro5ZPa7gQob4aNAPZAMV4OAzAIQDmA8UR01KNOPpQYPYegPEzZocQRHK4evxnADUS0PVB5mNBzIei5ECIGiueEDYpnRAEU74hBOJdA510oeuW3R/t5yJMKZSqgHUpA+lNQzr3eAEZCCdOUC+BKImJPnE5Ae+u5EKIHmnq19IMSf+9nAEVu22eQkoDMvW5Q94HWCOY+IYQgVY59AE6on3tC0XMjgBIocdt2ByoPE3ouBD0XQgyH8qLTDOV6fgZAJIAhANLU8n8noiX+HXVTAj0OIcREKIaqOlWeQihGoFQozy0CwC4AVxFRRTAyMaGlPfVc1ddsKHpwBMo12BvuyZ7c++vS1/NAjZUTyCPzphBiFIAv2FgZGnJycvL79Olj98xY7A332HgVFRUx5eXl8VarNVyWZa0QwhkWFmaLiYk5m5SUVOotruT51HNRVlYWW1ZWlmiz2YxEhLCwMFtcXFx5UlJSWTCGSheVlZVRJSUl3a1WawQRSXq93t6tW7eK5OTkEs+purIsS8XFxQm1tbUmu91udDgcOtd0WIPBYI2JiTmbmJhY3tqxMO1LVVVVZGt6npOTg08++aQ8Pz8/bNeuXZEmk8m5bdu22ujoaGNb67nVatWXlJR0t1gsEfX19XpZlrUAoNPp6iMiImoTExNLIyMjg35rREQoLi5OqKioiLfb7QYhBAwGgyUhIaEsISGh0ps8ZWVl8XV1dab6+vowl8FUq9U2GI3Guri4uEqXJ2ZOTk48Gys7HiHEXCgeW62xk7zExhNC3ATgDgAXAdBAech5A8A/SMnA11K/UwD8D4DRAAxQph39H4AV7l4IXur9CsADAC6B8tBVAMWA8wQRBZ1hXgiRAeCvUB7mukF5mNkO4BHPP9lq+ZugeJWNhuKVGQ3lT8lxAJ8AeIU9KjsPF4KeCyH0AB6CEocpA8qfYT2U+Eq7AbxJRO/6cQwtEqA84VD+7FwKIBOKV6cBikH1AJQ/7697eukwHUd767mbQbs10ogo30v9oO4DrRHofUIoMdouhWK06Q4lA201lOPfBuBVIqryrMd0DBeCngsh4qCEpBsDoD+UGJUSFG+3HwCsIqIv/GizRQI5DiFEAoCFAH4D5eVXApQXTuVQXkb9B8B6by/emI6hPfXczZjdGqeohbiqXfl6HoixcjOUk+9G19Qs1Q17A4AyIvpdKAXrqnibBs4wXZWVK1fG/fd//3eqwWBwDh482PK3v/3t9OTJkwOKEdkVYWMlwzAMwzAMwzAMc6ESiLGyF4AtUN4AuzwakgHsh5LN6HSbSNjFYGMlwzDnCxsrGYZhGIZhGIZhmAsVrb8FiahACDESwGU4F9/nMLWSyYhhGIZhGIZhGIZhGIZhGMYfpNYKCCGmCiHyhRBRpPApEb1ERC8ByFL3Xd4OsjIMwzAMwzAMwzAMwzAM8wumVWMlgDsBPENENZ471MCbTwO4K9SCdWX8nZrPMAzjCV8/GIZhGIZhGIZhmAsZf4yVQ6GkZW+JLwAMC404jBDCKsuyP78LwzBMMxwOh1YIUdvRcjAMwzAMwzAMwzBMMPhjFEsA4PSxnwDEhUYcBsC+urq68I4WgmGYC5OamhoTEX3d0XIwDMMwDMMwDMMwTDD4Y6w8DcW7siWGAigMjThMQ0PD9srKSj1P5WQYJlAcDodUVlYGh8OxsaNlYRiGYRiGYRiGYZhg8MdY+QGAx4QQRs8dQohwAI+qZZjQ8K+ampr9BQUFcVarlY2WDMP4hIjQ0NCgraioiMnNzY2yWq2vA/iyo+ViGIZhGIZhGIZhmGAQrRnDhBCJAH6CMhX87wCOqLsGQUm+IwCMJKKSNpSzS7Fnz54YSZJu0Wg0NxNRPJQxZhiG8YoQopaIvlY9Kr8cNWoUv+VgGOYXixBiLYA56lcHgLMADgLYBGAVETX42c5EKC93EoioPPSSMgzDMAzDMMHQqrESAIQQfQD8A8CVOGc4IwAfA7iDiPLaTEKGYRiGYRiGUVGNlSkAbgaggRJffRKAZQByAUwmojo/2pkINlYyDMMwDMN0OvzKOk1Ep4joKgDxAH4FYByAeCK6ig2VDMMwDMMwTDtjJ6JiIiokor1E9ByAiQBGArgXAIQQ/yWEyBJCmIUQpUKIjUKIFHVfKs6FzCgTQpBqBIVQuFcIcUIIYRVC7BdC/Fc7Hx/DMAzDMEyXxS/PSoZhGIZhGOb/27ufl02nOI7j7+PxK2OlURairBizkIXYzMYk5WfIVtmJUrKa0ihmoZ6l2VD+Axs2yo+FxJ1xFgAAAilJREFUWVsa2Rg0wqgpSWLhWFz3w9PTMIo794zXa3PVOde5Otf20znfL5tgFSrun3Pef465t6qb5pwHxxhPVt+0lDDaX71Sbc05D40xtqqHqjerW6uz1U9zzu/HGMeqx6pnq0+ru6rXq8fnnOq0AwCs2aX/9QYAAOBfcrI6XDXnfGPX+GdjjKeqT8YY1885T48xzq7mzuxcAx9j7Kueq+6Zc55YzZ8aY9xRPZ2mkgAAayesBADgYjFa6qo3xri9OlrdVl3TH3XXb6hO/8n6A9WV1TtjjN3Xjy6rPl/DfgEA2ENYCQDAxeJAyynKfS2NIN9racRzpuUq+Inq8r9Yv1PP/YHqyz1zf6vLOAAA/4ywEgCAC94Y42B1b/VydXNLOHlkpxnkGOORPUt+WT23do2drH6ubpxzfrDeHQMAcC7CSgAALjRXjDGuazkJeW11d3Wk+qjarq5qCR2fGWMcr26pXtrzjS9arozfN8Z4u6XBzg9jjO1qe4wxqg+rq6s7q1/nnK+t/9cAAP7fLjn/KwAAsFEOV1+3XNV+v3qwerE6NOf8cc75XfVE9XDLacmjLY1zfjfn/Go1fqz6tnp1NfXC6lvPVx9X71aPVqfW+UMAACzGnPP8bwEAAAAArJmTlQAAAADARhBWAgAAAAAbQVgJAAAAAGwEYSUAAAAAsBGElQAAAADARhBWAgAAAAAbQVgJAAAAAGwEYSUAAAAAsBGElQAAAADARvgND1v9bGYkc4QAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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FCkaPHs2YMWM8+M1JdtDvFBERERERkdzj42f/xZljhyldpTpFSpelaOkyFC1TlqKly1KkdBnyFwzI6RCzhTFmi7U2xGmdG4nF+GQfk3cygLXW3hCHtyixeGNLTCxOnDiRRx99NEXd8ePHKVOmDH5+fvz111/4+vq6NGa/fv2YO3cuX3/9NZ06dUoqT0wsBgUFsW/fvhQzCOPi4ihdujTR0dHce++9zJ07N8WYW7dupVGjRlSpUoUDBw4klScmJHv16sW8efNSxXL06FGCgoIoUqQIJ06cSHpeyRv0O0VERERERCR3OH86mmnDBhLa5z6adOuV0+HkqPQSi+4shW7loXhEctxdd92Vqqx06dIUK1aMM2fOEB0dTZkyZVLUnzp1iq+//pqdO3dy9uxZYhOmOe/cuROAn3/+OUViMVGrVq1SLUv29vYmKCiI6OhoOnTokKpPjRo1AEeiMLmlS5cCpLnsuly5ctSoUYPdu3fzyy+/pFpGLSIiIiIiIiIZOxDpOPegWnDjHI4kd3M5sWitXZ2VgYhkp0qVKjktL1y4MGfOnCEmJiZF+bRp0xg1ahQXL15Mc8xz5845La9QoYLT8oCAgDTrE+suX76cojxx9mJaicXkTp48qcSiiIiIiIiIyHXYv2UjRUqVpnjFyjkdSq7mzoxFjDGlgUdwnBBtgV3AFGvt8SyITSTLeHm5fiD65s2bGTZsGD4+Prz++ut07tyZChUq4O/vjzGG5557jnHjxpHWtgIZ3cudWOLi4gDo1KkTJUqUSLdt8eLFXR5XRERERERERByuXo7h9x3bqde2vbYYy4DLiUVjTHPgW+A48GNCcX9glDGmvbX2xzQ7i+RhX3zxBdZaHnvsMZ588slU9b/++mu2xVKxYkX27dvHsGHDnC67FhEREREREZHM+W3HdmKvXqFaoyY5HUqu5/pUKXgD+AS4yVo7wFo7ALgJ+BR4MyuCE8kNTp92HHhesWLFVHUnT55MdYJ0VrrzzjsBmD9/frbdU0REREREROSfZH/ERvIV8KdCnbo5HUqu505isQHwprU26XTohPdvAQ09HZhIblGrVi0AZs+ezfnz55PK//rrLwYPHszZs2ezLZahQ4dSsWJFPvzwQ8aMGeN0z8eDBw/y8ccfZ1tMIiIiIiIiIjcKGx/PgchNBDUIxtvHN6fDyfXcSSz+CVRxUl4FyL7Mikg2u//++6lYsSKRkZFUrVqV7t27061bN4KCgoiIiGDw4MHZFktAQABLliyhUqVKjB07looVK9KqVSv69etHly5dqFGjBlWrVmXSpEnZFpOIiIiIiIjIjeKPA79w8c+zVNdp0C5xJ7H4KTDdGNPPGFMl4eoPfIBjibTIDalYsWJEREQwdOjQpMReREQE3bt3JzIy0ukS6axUr149fvrpJ1599VVq1KhBZGQkn3/+OZGRkZQoUYIXX3yR9957L1tjEhEREREREbkR7I/YhPHyIqhhSE6HkieYtE6yTdXQmHzA68DD/H3oy1VgCvBva+2VLIkwm4WEhNiIiAiX2u7Zs4fatWtncUQi8k+h3ykiIiIiIiI5a/ZTj+JXMIDeY17L6VByDWPMFmut00yryzMWrbVXrLUjgWI49ltsAARaa/91oyQVRURERERERETkn+ncyROc/D2KaloG7TKfjJukZK29COzIglhERERERERERERyxP4tGwGoGtwkhyPJO9JNLBpjFgH9rbXnEt6nyVrbxaORiYiIiIiIiIiIZJP9WzZRrFwFAsuVz+lQ8oyMZixGA4mbMJ5O9l5EREREREREROSGcPniRQ7t2kGjjpo35450E4vW2vuTvR+U5dGIiIiIiIiIiIhks99+iiQ+LpZqjbS/ojtcPrzFGDPDGFPISXlBY8wMz4YlIiIiIiIiIiKSPfZHbCR/QCHK1ayd06HkKS4nFoGBQAEn5QWA+zwTjoiIiIiIiIiISPaJj4/jwLYtVGkYgpe3d06Hk6dkeCq0MSYQMAlXMWNMbLJqb6ATcDxrwhMREREREREREck6R3/eS8xf56im06DdlmFiETiF49AWC+x2Um+B0Z4MSkREREREREREJDvsj9iIl7cPQfUb5XQoeY4ricVWOGYr/gD0wHE6dKIrwG/W2qNZEJuIiIiIiIiIiEiWOrBlExXq3Iyfv39Oh5LnZJhYtNauBjDGVAEOWWvjszwqERERERERERGRLHbm2BFOHz1M/XadcjqUPMmVGYsAWGt/AzDGlAMqAfmuqV/j2dBERERERERERESyzv4tmwCoFtw4hyPJm1xOLCYkFOcCLXDsq2gSXhPp2BwREREREREREckzDmzZRIlKQRQpVTqnQ8mTvNxo+z8gDqgDXARuB3oCe4AOng9NREREREREREQka8ScP8/hvbs0WzET3EkstgT+ba3di2Om4klr7QLg38DLWRGc3Dji4+OpVKkSxhhKlizJ1atX020fFBSEMYaoqCiP3H/QoEEYY5g1a5ZHxstqS5cuZcCAAVSvXp2AgAD8/PyoUKECnTp1YurUqfz11185HaKIiIiIiIhInnZwWwQ2Pp6qjZRYvF7uJBYLAKcS3p8GSiW83w3c4smg5MazfPlyDh06BMCpU6dYtGhRDkeUO504cYKwsDA6derExx9/TL58+WjXrh3dunUjKCiIFStWMGzYMKpWrcpvv/2W0+G6zRiDMSanwxARERERERFh/5ZN+BcpStnqN+V0KHmWO4nFvUCthPfbgIeNMZWBR4Ajng5MbiwzZswAoHz58ik+Z5dx48axZ88eunXrlq33dcfZs2dp3rw5q1evplmzZmzfvp3du3ezYMECPv30U8LDwzl16hTjx4/nypUrnDlzJqdDFhEREREREfGIlbPeY9uyJdl2v7jYWKK2baFqo1sxXu6kxyQ5lw9vAd4ByiS8fwn4FrgXuAwM9HBccgM5ffo0X331FcYYPv30U8LCwli2bBlHjx6lXLly2RJD2bJlKVu2bLbc63o9+uij/PrrrzRu3JgffviB/Pnzp2pTqFAhnn76abp3707BggVzIEoRERERERERzzp36iSR3yzCx8+P6o2bEVAsMMvveWTvLi5fvEC14CZZfq8bmcspWWvtHGvtrIT3kUAQcCtQyVo7P0uikxvCnDlzuHz5MmFhYYSGhtKuXTvi4uL48MMP3R4rLCwMYwyrVq1i5cqVtG3blmLFihEQEEBoaGiaS6zT2mNxzJgxGGMYM2YMx48f56GHHqJChQr4+flRpUoVnnnmGWJiYtKMZ+PGjfTp04cKFSqQL18+SpYsSZcuXQgPD3frufbv388nn3wCwNSpU50mFZOrXr16qkTp1atXmTRpEk2aNKFw4cIUKFCA2rVr88wzzxAdHZ1qjFWrVmGMISwszOk9oqKiMMYQFBSUZrm1lsmTJ9OgQQP8/f0pVqwYd999Nzt37kzRJ/F7TpS4JDr50ughQ4ZgjOG1115L87knTpyIMYZevXql9/WIiIiIiIhIHvLzj2sBiLt6lQ0L5mXLPfdHbMTb15fK9Rpky/1uVNc919Nae9FaG2mtPZVxa/GEOXMgKAi8vByvc+bkdESuSVz2PGjQIADuv/9+AGbOnHndY3755Ze0bduWEydOcOedd1K/fn3WrVvH3XffzVtvveX2eIcOHSI4OJivv/6aZs2aERYWxokTJxg/fnyaSaw333yTZs2a8dlnn1GmTBnuvvtuqlevzpIlS2jZsiXvv/++y/f/+uuviY+Pp169ejRs2NDt+GNiYmjXrh0jRoxg586dtGjRgs6dO3P27FnGjx9PcHAwBw4ccHvcjAwaNIhRo0ZRqlQpOnXqRJEiRVi0aBHNmzdPcb8GDRowcODfE5sHDhyY4gIYMWIEANOmTSM+Pt7p/SZPngzAI4884vFnERERERERkZyxd/1aSletzi1t2rPj+285+8exLL3fuVMn+HnjOirdXB/fDCb2SAastWlewASgYLL3aV7pjZOXruDgYOuq3bt3u9w2sz7+2Fp/f2vh78vf31Gem0VGRlrAFipUyF64cMFaa21MTIwNDAy0gF2zZo3TfpUrV7aAPXjwYIryli1bWhynktvXX389Rd2iRYusj4+P9fb2ttu3b09RN3DgQAvYmTNnpigfPXp00ngPPPCAvXz5clLd7t27bUBAgAVseHh4in5Lly61gC1XrpzdsGFDirrw8HBbuHBh6+vra/ft25fhd2SttQMGDLCAHTx4sEvtr/XUU09ZwNaqVcsePnw4qfzixYu2R48eFrBNmzZN0WflypUWsC1btnQ65sGDBy1gK1eu7LQcsFWqVLG//vprUl1MTIzt2LFj0vd5rcR+aQkNDbWAXbx4caq677//3gK2bt26afbP67Lzd4qIiIiIiEhucPrYEftGr05206Iv7F/Rp+z/+ne3X7/z3yy738+b1ttJ9/e2EwbeY3/fuT3jDmKBCJtGHi2jPRbrAb7J3qeZn3Qhh/mP8vjjsG2b58bbsAEuX05ZdvEiDBkCbkyMS1eDBvC//3lmrESJsxV79eqFv78/AH5+fvTr14+JEycyY8YMbr/9drfHDQkJ4cknn0xR1rlzZ/r27cvs2bOZOHGiWzMGK1asyIQJE8iXL19SWe3atRkwYABTpkzh+++/p3nz5kl1Y8aMAeCDDz6gSZOU+zE0b96cF198kaeeeopp06bx5ptvZnj/kydPAlCqVKkMWqZ26dIlpkyZAsCECROSDsgBKFCgAFOnTmXZsmVs2LCBdevWpXiOzJowYQLVqlVL+uzn58fo0aNZunQp33//vdvjjRgxgvDwcCZPnsxdd92Vou7dd98FYPjw4ZkLWkRERERERHKNfesdy6BrNgslILA4je7szKavPufWLj0oFVTVY/eJvXKFNXNmsvXbxZSuWp1OI5+mWJnsOffhRpbuUmhrbStr7dlk79O6WmdPuP9c1yYVMyrPDS5fvszcuXOBv5c/J0r8PH/+fM6fP+/22P369XNaPmDAAMCxf6A7WrduTYECBVKV16rlOAj96NGjSWWnTp1i06ZNFC5cmHbt2jkdr2XLlgD8+OOPbsVxPbZs2cL58+cpV64cd9xxR6r6EiVK0LlzZ8D97yU9Pj4+dOjQIVW5s+/MVd27d6d8+fIsW7YsxVLqI0eOsGjRIgoVKpT0MxYREREREZG8b9/6NZSrWYfCJRwTbW7tcg9+BQsS/ulsj93j9NEjzH3xSbZ+u5jgTndz78uvK6noIe6cCi1u8PTMv6Ag+O231OWVK4MHc0UetXDhQk6fPk2NGjVSzZJr2LAh9evXZ/v27cybN48hQ4a4NXaVKlWcliceNHL48GG3xqtUqZLT8sKFCwOkOMDl4MGDAJw7dw4fn/T/E0qciZiRkiVLAnDixAmX2id35MgRIO3vBKBq1aop2npC2bJlnT5/4nd2+Tqy3j4+PgwbNowXXniBqVOn8t///heA9957j9jYWO677z4KFSqUucBFREREREQkVzh16DdOHfqN1vc/lFSWPyCAxnf3ZO3cWRzevZMKdW7O1D12r13JivffxdvXl65P/4dqwY0zG7Ykk25WxBgzw9WBrLWDXWlnjKkJdMBxonQIcBNggJ7W2s9dvZ+TcfsCw4BbAG9gLzATmGKtdX4SRB7yyiswdKhj+XMif39HeW6VuAz6zz//JDQ0NFV9YhJtxowZbicWPc3Ly/VzjOLi4gAoUqQIXbt2TbdtiRIlXBozODiYjz76iM2bN7scx7WSn7rsCWkdoJLIne/MHUOHDuXll19mxowZvPzyy3h5eSUta9cyaBERERERkRvHvh/XYowXNzVNmTNo2OEuIr9ZxNpPPqTPS/+9rr93r8Rc4ocZU9m1+nvK16pLp8eeolBx1/5GF9dlNGOx5DWfWwDxwI6EzzfjWE69xo17DgNGutE+Q8aYd4HhQAzwPXAVaANMAtoYY+7J68nFxJW/zz8Pv/8OlSo5kopprAjOcYcOHWLFihWAI4GY3ky89evXs2/fPmrWrOny+FFRUemWJ99n0NMqVqwIgK+vL7NmzfLImJ06dWLUqFHs2LGDrVu3unUydOKzJs6kdCZxWXHy7yVxP8m0lqL/5myKbDYoWbIkvXv3Zvbs2cybN4/8+fNz7JRoG7oAACAASURBVNgxwsLCqFOnTo7EJCIiIiIiIp5lrWXf+jVUrFuPgkWLpajz9ctPsx73suKDdzkQuYlqwU3SGMW5E1EH+Pqd/3Lm2BGa9riXZj364OXt7cnwJUFGeyx2TryA9cAyoIK1toW1tgVQEfgW2OjGPXcCrwO9gerA6uuKPIExpgeOpOIfwC3W2rustd2AGsAeoBswIjP3yC369YOoKIiPd7zm1qQiwKxZs4iPj6d169bpnsLdq1cv4O/Zja6aM2dOuuVhYWGZij895cuXp169epw6dcpjexZWr16d3r17AzBs2LAMlxHv37+fY8eOAY7ZjgEBARw5csTpgSnR0dEsXrwYSPm9JCYZ9+/fz9WrV1P1W7p06XU9S3p8fR1nQcXGxqbbbsQIx3+ykydPZvLkyQA88sgjHo9HREREREREcsaJg/s5c+woNW9r4bT+5lZ3ULRMWcI/mU18fJzL4+5a/T1zX3iCK5cu0vOFV2jeq5+SilnInbWMjwFjrLUXEgsS3r+MG4k7a+0H1tqnrbWfWWv3u3H/tDyb8Ppva+0vye5zHMfsSIBnjDFZs25TUrHWJs3ky+igjcT6jz76KGmJsSs2b97M22+/naJs6dKlfPzxx3h7e/Poo4+6F7SbXn75ZQD69+/Pd999l6o+Li6OH374gQ0bNrg85qRJk6hatSobN26kdevW7NixI1WbCxcu8NZbbxEcHMzx48cBx8nPDz/8MAAjR45MSjiCY2/IYcOGcf78eZo2bZpir8vKlStTrVo1zp49m+rk6oULFzJhwgSXY3dVYjJzz5496bYLCQmhadOmbNy4kdWrV1OuXLkMl52LiIiIiIhI3rF3/Rq8vL2p0eQ2p/XePj407z2AU4d+Y294xnPS4uPiWDX7A76d/Dbla9bmvvETqHTzLZ4OW67hTrItAHB2ZE5ZwN8z4bjHGFMBCAauAPOvrbfWrgaOAGWAptkb3T/XqlWrOHDgAAUKFKBHjx7ptu3QoQMlS5bk2LFjbs2Qe+yxx3jyySepX78+ffv2JTQ0lE6dOhEbG8u4ceNo0KBBZh8jXXfffTdvvvkmf/zxB+3bt6dmzZp06dKFvn370rp1a0qUKEGbNm3Ytm2by2MGBgYSHh5OaGgo69ev55ZbbqFu3br06NGDe++9lxYtWlC8eHGeeOIJ8ufPT2BgYFLfl19+mbCwMHbt2kWNGjXo0qULvXv3pmrVqsyfP59KlSo5neU5btw4jDE8++yzBAcH07NnTxo0aED37t156qmnPPJdJdetWzcA2rRpQ58+fXjggQd44IEHnLZ97LHHkt4PHTo0w4NyREREREREJG+w8fHs+3EtQfUbUSAg7QM6azYNpVSVaqz7bA6xTlbaJYo5f54vx49ly5KFNOzQme7PvoR/kaJZEbpcw53E4hfATGNMH2NMUMLVB5gOLMia8DKUuBHdLmvtpTTabL6mrWSxxGXNXbt2zfAEXx8fH/r06ZOinyu6devGsmXLKF68OEuWLGHr1q3cdtttfPnll1mSEHNm1KhRbNmyhSFDhhAXF8fy5ctZvHgxhw8fpkWLFrz//vtJS71dVbZsWdauXcvixYvp27cvly5d4ttvv2XBggUcOHCAtm3b8t5777F///4UJ1nnz5+f7777jgkTJlCnTh1WrlzJV199ReHChXn66aeJjIxMOhk6uZ49e7Jw4UKaNm3Knj17WLZsGUWLFuWbb75JM+GXGa+88gqjRo0iICCABQsWMH36dKZPn+60bdu2bQHH8umhQ4d6PBYRERERERHJGUd/2cdfp06muQw6kfHy4vZ7B3Lu5HF+WvGt0zanjx5m7gtP8PvOn7hj6KO0vv8hvDUxJdsYa61rDY0pALwJDAZ8E4pjcSQWn7TWXkyrbwbjrgJach2nQhtjHgPeARYm7KvorM07OJZxv2mtfTKjMUNCQmxERIRL99+zZw+1a9d2I2LJrLCwMFavXs3KlSuzdB9FyXnvvPMOjz/+OL169WLevHk5HU620O8UERERERH5J/hh5jR2fL+Mh9/7GD//9BfBWmuZ//LznDr0Gw9MeJ98Bf5uf3BrBEsmvI6Xjw9dRj1Lhdo3Z3Xo/0jGmC3W2hBndS7PWLTWXrLWDgeK45j91xAItNYOv96kogcEJLxeSKdN4pG36U+dE5Fc49y5c7zxxhuAY2aoiIiIiIiI3Bji4+PY9+NaqjQKyTCpCGCM4fZ7B3Lp3J9sWfoV4Eg2bl68gC/Hv0ThkqXo/+rbSirmkOuZG1og4dpmrU3/6No8whgzFBgKpFheKiLZ6/XXX2fnzp2sWbOGw4cP07NnT5o0aZLTYYmIiIiIiIiHHN69k4t/nqVWBsugkytboybVb21GxOIF3Bx2B+GffMjutSup0eQ27hw+Ct/8+bMwYkmPyzMWjTGFjDHzgRPAeqB8QvlUY8yYrAkvQ4mzEQum0yZxVuNfaTWw1r5nrQ2x1oaULFnSY8GJiHuWLFnC7NmzuXDhAg8++GCa+y+KiIiIiIhI3rR3/Rp8/fJTpaHTlbVpCu0zgKsxl5n1xDB2r13JbT370fnxZ5RUzGHuzFgcj+NU6EZAeLLyr4FXgDGeC8tlUQmvldNpU/GatpKHrVq1KqdDkCykn6+IiIiIiMiNKy72Kr9sXE+1kCb4+rmXECxeoRL1Wrdjd/hKuox6jhpNbsuiKMUd7iQWuwDdrLXbjDHJT3zZA6Q+bjZ7bE14rWuMKZDGydC3XtNWRERERERERESy2W87thFz/i9qNXd9GXRybR4YRov+g13am1Gyh8tLoYFiQLST8kJAnGfCcY+19hAQCeQDel5bb4xpCVQA/gB+zN7oREREREREREQk0b71a/ErWJDKtzS6rv5eXt5KKuYy7iQWN+OYtZgocdbiQzj2XMwyxphxxpi9xphxTqoTy8YbY6on61MKmJzw8TVrbXxWxigiIiIiIiIiIs7FXrnCr5t/pEbj2/Dx9c3pcMRD3FkK/RywzBhTN6HfqIT3jQGX57AaYxrxd8IPoE7C66vGmCcTC621TZO1KQvUTHhNwVr7uTFmCjAM2GGMWQFcBdoAhYGFwCRX4xMREREREREREc86uC2CK5cuUdON06Al93M5sWitXW+MuQ14EtiPI3EXCTSz1u5w456FgSZOymu4Mca1sQ03xoQDjwAtAW9gLzADmKLZiiIiIiIiIiIirok+fIjVH0+nSKnStBk8zCNj7l2/lgKFi1Cp7i0eGU9yB3dmLJKQQByYmRtaa1cBxs0+g4BBGbSZC8y93rhERERERERERP7JrsbEsOHLeUQs/hKwxMfFEVQ/mGrBjTM17pWYSxzYsom6YW3x8vb2TLCSK7iVWAQwxgQCpbhmf0Zr7W5PBSUiIiIiIiIiItnDWsv+iI38MGsaf506Sd2WbWnepz9fvPIfvp8+hYp165Evf4HrHn//lk3EXrlMrdtu92DUkhu4nFg0xjQEZgL1EotwHOCS+KqUs4iIiIiIiIhIHvLniT/4YeY0DkRupkTFynQc8xoVat8MwB1DR/Dpf55i3byPaTXwweu+x771awgILE75mnUybix5ijszFmcAR4CRwHH+PhVaRERERERERETykNirV4lYvICNC+ZhvL1p2X8wDe/sgrfP36mi8jVrU/+OO9n6zWJqh4ZRppr7x2P8dfoUUdu20KD9XRgvr4w7SJ7iTmKxBtDTWvtrVgUjIiIiIiIiIiJZ6/ed21nxwWTOHDvCTU1DCbvvAQoVL+G0bei9A/k1YiPfvTeR/q++7dYeiVcuXeTL8S/h5ePLLW07eCp8yUXcSRWHA7WzKhC5scXHx1OpUiWMMZQsWZKrV6/mdEgeERUVhTGGoKCgnA4llRMnTvDSSy8RGhpKqVKl8PX1pUiRIjRs2JARI0awadOmnA5RREREREREstm5Uyf54tX/YG08PZ4dS+d/PZNmUhEgf8EAWt//ECejDhC59CuX7xMXG8vit1/j1O9RdPnXMwSWq+CJ8CWXcSexOAQYbowZaYxpY4xpkfzKqgDlxrB8+XIOHToEwKlTp1i0aFEOR3RjmzFjBlWqVGH06NFs376dW265hZ49e9KiRQvOnDnDpEmTaNKkCU899VROh+q2MWPGYIxhzJgxOR2KiIiIiIhInrNv/Rri4+Lo8exLBDUIdqlPjca3UTW4Mevmz+HPE39k2N5ay4oP3iVqeyR3DH3U5ftI3uNOYrEG0BB4G1gOrEp2rfRwXHKDmTFjBgDly5dP8Vk8b9KkSQwZMoSrV6/yxhtvcOrUKVasWMHcuXNZvHgxUVFR/Pjjj7Ru3Zpffvklp8MVERERERGRbLRn3WrK1qhJ0TJlXe5jjKHN4GEY48WK6VOwNv1jNzZ88Sk7Vy6naY97qdeqXWZDllzMncTiNGAFjlOhSwElk12lPB+a3ChOnz7NV199hTGGTz/9FG9vb5YtW8bRo0dzOrQbzp49exg1ahQA8+bN44knnsDPzy9Vu6ZNm7JixQqeeOKJ7A5RREREREREckj04d85GXWAWs3D3O5buERJQnv3J2rbFvatX5Nmu52rVrB+/hzqtmzLbT37ZiJayQvcSSxWAEZba3dZa09Za6OTX1kVoOR9c+bM4fLly4SFhREaGkq7du2Ii4vjww8/TLOPMQZjDACzZs0iJCSEggULUqZMGYYMGcLJkycBiImJYfTo0dx0003kz5+fSpUq8fzzzzvdw/HkyZO88847dOjQgSpVqpA/f36KFClC06ZNeffdd4mLi0sznrVr13LHHXdQuHBhChUqRPPmzfnyyy8zfPZdu3Zx3333UbFiRfz8/ChRogQdO3bkm2++cdp+0KBBGGOYNWsWP/30Ez179qRMmTJ4e3vzv//9L8P7jR8/nqtXr9KlSxe6deuWbltjDLfffnumYw4LC8MYw6pVqzJ8prTKf/31V/r27Uvp0qXx8/OjVq1ajB8/nvj4+FQxjx07FoCxY8cm/TtJXBodFRWFt7c3gYGBXLp0yWk8V69epWzZshhj2LVrV7rfkYiIiIiIyI1k77rVGONFzWah19W/QYe7KF21Bis/fJ9L5/9KVR+1PZLl702k8i0NuWPoo0l/18uNy53E4nJAi+Jz0MKtR2j+2g9UeWYJzV/7gYVbj+R0SC5JXPY8aNAgAO6//34AZs6cmWHff//73zz00EMEBgbSoUMHjDHMmDGDtm3bcv78edq0acPEiROpW7curVu3Jjo6mldffZVHHnkk1VjLli3j8ccfZ9euXVSpUoVu3brRqFEjtm3bxqOPPkqPHj2cTuf+5JNPCAsLY8WKFVSvXp3OnTsTGxtL9+7dmTBhQpqxL1q0iODgYD766COKFClCjx49qFOnDsuWLaNjx468+OKLafZdt24djRs3JjIykrCwMDp06IC/v3+635W1lsWLFwMwcODAdNtmRczXa9u2bQQHB7Nx40ZatWpF8+bN2b9/P8888wwjR45M0XbgwIHUr18fgPr16zNw4MCkq0GDBgQFBdG5c2fOnDnDJ5984vR+X3zxBX/88QdhYWHUrVvX488jIiIiIiKSG1lr2bNuNZXq1adg0WLXNYaXlzftHhrBpb/OsXZOyr/pT0QdYPHb4yheoRKd//Us3j4+nghbcjtrrUsX8DBwCPg/oDfQPfnl6ji5/QoODrau2r17t8ttM+vLyMO21gvf2Mr//jrpqvXCN/bLyMPZFsP1iIyMtIAtVKiQvXDhgrXW2piYGBsYGGgBu2bNGqf9AAvY0qVLp/ieT58+bWvWrGkBe/PNN9vQ0FB79uzZpPqtW7daHx8fa4yxUVFRKcbcvXu33bBhQ6p7HT161DZo0MAC9tNPP01Rd+TIERsQEGABO2XKlBR1n376qfXy8rKArVy5coq6Y8eO2cKFC1vAvvnmmynqVq5caf39/S1gv/322xR1AwcOTHr2559/3sbFxTn9fpzZv39/Ut/ff//d5X6Zjblly5YWsCtXrnQ6buIzzZw502k5YEePHp3iWVevXm29vLysl5dXqmcZPXp0Uh9nVqxYYQEbEhLitP7222+3gJ0/f77T+pyUnb9TRERERETkn+XIvj32jV6d7M5VKzI91qqPpts3enWyv+/6yVpr7Z8nj9spDw2wU4cNtOeiT2Z6fMldgAibRh7NnfTx5ITX55zlJwFvN8a64Y1dvIvdR895bLytv5/lSlzKZaGXrsbx9Oc/8cmm3z1yjzrlCjO6s2dncCXOVuzVq1fSjDs/Pz/69evHxIkTmTFjhtPluIleeuklateunfS5WLFiPPzww/zrX/9i9+7d7Ny5kyJFiiTVN2jQgI4dO7Jo0SJWr17Nfffdl1SXfJzkypYty3//+1/atWvH559/Tu/evZPqpk+fzvnz52nZsiUPP/xwin69e/fms88+Y8GCBanGfP/99zl37hzNmzdP2vMwUVhYGCNGjGD8+PG88cYbtG/fPlX/WrVqMXbsWLy8XJ9UnLg8HKBUKfe3Pc1szNfr1ltvZfTo0SmmyLdo0YL27dvzzTffsHLlyhQ/x4y0adOGOnXqEBERwaZNm2jcuHFS3Y4dO1i7di3lypWja9euHnsGERERERGR3G7vutV4+/pS/dZmmR7rtnv68svGdSx//116jx7HgnFjiL18mT5jx1MosIQHopW8wuWshbXWK51LScUsdm1SMaPy3ODy5cvMnTsX+Hv5c6LEz/Pnz+f8+fNpjtGhQ4dUZdWrVwegcuXKTpOFNWrUAHB6OExsbCzfffcdY8eOZdiwYdx///0MGjSIqVOnAvDzzz+naL969WoA+vfv7zS+AQMGOC1P7JfWkuTBgwcDEB4e7nRvx7vvvhtv7+z9zyqzMV+vjh07Ot13o1atWoDzn2NGHn30UQAmT56cojzx89ChQ/HRtHwREREREfmHiI+LY9+Pa6nWqDF+GWyz5Qrf/PlpO2Q4Z44eZtaTj3Dm2FG6PPE8JSoFZT5YyVP0l3UW8fTMv+av/cCRs6kPoyhftADzHsr8/23ICgsXLuT06dPUqFGD5s2bp6hr2LAh9evXZ/v27cybN48hQ4Y4HaNChQqpygICAtKsS14fExOTovznn3+ma9eu7NmzJ82Yz51LOcv08OHDAFSpUsVp+6CgIKflR44cybCfl5cXMTExREdHp5phWLly5TRjTEvJkiWT3p84cYKKFSu61T+zMV+vSpUqOS0vXLgwkPrn6Ir77ruPZ599lnnz5vHWW28RGBjIuXPn+Pjjj/H19WXo0KGZillERERERCQv+X3ndi7+eZZaoS09NmZQg2BqNW/J3nWr6fjoE1S6+RaPjS15h8szFo3DcGPMLmPMRWNM1YTyZ4wxvbIuRAF4qn1NCvimnMFWwNebp9rXzKGIMpa4DPrPP/8kNDQ01XXixIkU7ZxJbymwO8uEAe655x727NlDly5dCA8PJzo6mtjYWKy17Nu3D8Dp4S2Zcb0nYBUoUMDtPkFBQQQGBgKwefPm67ovXH/Mabn2ZOdruftzdEXBggUZPHgwMTExSf++Zs+ezfnz5+natStly5b1+D1FRERERERyq73rVuPnX5AqDUI8Om77YY8zYPwEat/eyqPjSt7hzl/0I4EXgPeA5JmHI8CjngxKUuvasDzjutejfNECGBwzFcd1r0fXhuVzOjSnDh06xIoVKwDH7Ll169aluo4dOwbA+vXrkxJ7WWXv3r3s2LGDUqVKsWDBApo3b05gYGDScuNff/3Vab/y5R3fb1RUlNP6tMoT+x04cCDNfvHx8eTPnz8pGZhZXl5e3HXXXQB8+OGHbve/3pjz5csHkOaS9t9++83tWDzhkUcewcvLi6lTpxIfH8+UKVOSykVERERERP4prl65zC+b1lOjyW34JPz95ik+vr6UCqrq0TElb3Ensfgw8KC19h0gNll5JODZdb/iVNeG5Vn3TGsOvtaJdc+0zrVJRYBZs2YRHx9P69at0z2Fu1cvx2TX9GYtesLp06cBKFeunNO9C+fMmeO0X8uWLdOtz6jf7NmzndbPnDkTgNDQUI/u9ff000/j4+PDokWL+PLLL9Nta60lPDw86fP1xpyYkNy7d2+qPsePHycyMtK9h8hAYiIzNjY23XbVqlXjzjvvZP/+/Tz33HPs3r2bunXrJj2niIiIiIjIP8HByM1cuXSJWs31t5B4njuJxcrATiflVwH3123KDctay6xZs4C0DzdJlFj/0UcfefRAkGvVqFEDLy8vdu7cyZo1a1LUzZw5k08++cRpvyFDhlCwYEFWrlzJ+++/n6Lu888/d3oiNMCDDz5IoUKFCA8PZ8KECSnq1qxZw8SJEwF44oknrveRnKpbty5vvPEGAH369OGtt97i8uXLqdpt2bKF9u3bJ7XNTMxt2rQB4N13302ahQqOZO7AgQPTPZzneiQmMtPbKzPRiBEjABg/fjwAw4cP92gsIiIiIiIiud2e8NUULBZIxbr1cjoUuQG5k1g8ADRyUt4R2O2ZcORGsGrVKg4cOECBAgXo0aNHum07dOhAyZIlOXbsGEuXLs2ymEqWLMnw4cOJjY2lVatWtG7dmr59+1KvXj0GDx7MM88847Rf+fLlmTp1Kl5eXgwdOpTg4GD69u1L06ZN6dmzJyNHjnTar0yZMnz00Uf4+fkxcuRIbrnlFvr27UtYWBitWrXiwoULvPDCC05Pvc6skSNHMm3aNLy9vXniiScoWbIkd9xxB/369aNLly5UqVKFkJAQli9fnnTycmZi7tWrFw0bNiQqKoq6devSuXNn2rdvT/Xq1Tl8+DBdu3b16PO1b98ef39/FixYQIsWLbj//vt54IEHWLRoUaq27dq1o2ZNxz6khQoVyjDRLSIiIiIiciOJuXCeg1s3U+u22/HySr16TySz3EksvgFMMsb0w7HHYjNjzGjgFeD1rAhO8qbEZc1du3alUKFC6bb18fGhT58+KfpllXfeeYf33nuP+vXrs2nTJr755htKly7NN998k+4pwf379+f777+nTZs2/PzzzyxevBhjDPPnz+exxx5Ls9/dd99NREQE/fv3Jzo6ms8//5wdO3bQrl07lixZwssvv5wVjwnA0KFDOXjwIGPGjKFevXps27aNzz77jNWrV1O0aFEee+wxtmzZwmuvvZbpmPPly8eKFSsYNmwYBQoUYNmyZezdu5eBAweyfv16ihQp4tFnK1OmDF9//TVhYWH89NNPfPjhh0yfPt3pkmtjDG3btgUcJ0Vn9O9RRERERETkRvLLxvXExcZSq3lYTociNyjjzim4xpgHcRzgUjGh6Cgw2lo7PQtiyxEhISE2IiLCpbZ79uyhdu3aWRyRiFyvK1euUKlSJY4fP86uXbuoU6dOToeULv1OERERERERT5r/8nP8FX2K+9+ehjEm4w4iThhjtlhrnR4p7s6MRay171trKwOlgDLW2grW2unGmIoZ9RURyW7vvvsux48fp0OHDrk+qSgiIiIiIuJJ509H8/uuHdRq3lJJRcky13UcrbX2FIAxpgzwIjAYHeAiIrnAvn37eP311zl69CjLli3D19c31ZJvERERERGRG92+H9eCtToNWrJUhjMWjTFFjTFzjDEnjTFHjTGPGYfROA50aYIjsSgikuOOHTvG9OnT+eGHH6hfvz4LFy6kfv36OR2WiIiIiIhIttoTvprSVasTWK5CTociNzBXZiy+CrQAPgQ6AG8DdwAFgTuttauzLjwREfeEhYXhzt6xIiIiIiIiN5rTR49w/MAvtBwwJKdDkRucK4nFTsD91toVxpjJwK/Afmvt/7N333FVV/8Dx18flMtGAQUnAqLiHrhxgJnizpkjNbVMzVH2y7Rhlma2LM311SxzZ5p7USlOEHGFuQIBtyhoiLI5vz8YiVzgXgVxvJ+Px+dx4XzO55z353OBB7w5463CDU0IIYQQQgghhBDi6aSU4sq5M1w+8zflq9WgXFUPNBOjtrp4aGcO7AFNo1rzlo+lP/H8MiSxWA44BaCUOq9pWgKwqFCjEkIIIYQQQgghhHgKRV+6wOn9/pzev4fYG9ezyq3tHajaxIuqzVpSrkq1QksyKqU4c2APFWvUxsa+VKH0IUQmQxKLJkDyfZ+nAvcKJxwhhBBCCCGEEEKIp8ud6JucObCH0wf2cCPiPJpmgnPtujTv3Z9Ktetx8VQIZwP2c+L3bRzdvglrh1JUa+pF1aYtKVulWoHu2hwVHsatq5dp2KVHgbUpRG4MSSxqwHJN0xIzPjcHFmmali25qJTqWtDBCSGEEEIIIYQQQjyJUpKSOLVvF2f27+Hi6ZOgFGXcq+Lz6nCqNWuJVUm7rLrVW3hTvYU3iffucf7IIc4G7uf4zq0c2boRG4fSVG3qRYOO3bAtVfqR4zq93x+TYsWp2sTrkdsSIj+GJBZ/fuDz5YURiBBCCCGEEEIIIcTDijh+hEMbfqXn+59SXKcr9P72rvyJY9s3Y1e2PM179cfDqxV2ZcvneY2ZpSXVW/pQvaUPiffuEhZ8iLMB+zi2YwtnA/fTZ/J07MqUe+iY0tJSOXNwL671G2Jubf3Q7QhhqHwTi0qpIY8jECGEEEIIIYQQQoiHdS7oIJdOnyT8WDBVmjQv1L5UWhrnAvbj3qgpXd/54KGmMptZWlGjVRtqtGpDVMR51k77kDVTJtJ78nTsy1V4qLhO7dnF3VsxVG/h/VDXC2Esg1cK1TTtR03TbPSUW2ma9mPBhiWEEEIIIYQQQghhuKjw8wCc2re70Pu6FvYPd2/fokoTrwJZH9HRxY0+k6eTlpbGmk8mEX3pglHXq7Q0DvyyjJ0LZlGuanUqezZ+5JiEMIQxWxANBiz0lFsAgwomHCGEEEIIIYQQQgjjpKakcPNiBCbFihN+7DAJcXGF2l/o4QA0ExNc6zcssDZLObvQZ/LnAPzyySRuXogw6LrEe/fY8PU0An/7hVo+7eg9efpjmQouBBiQWNQ0Q0QLWgAAIABJREFUzV7TNAfSN3Gxy/g88ygNdAau592KEEIIIYQQQgghROGIuXKJ1ORk6vt2IjUlhXOH9hdqf6HBh6hYoxYW1jkmdj4ShwoV6fPx5xQrVoxfPn2fqIjzedaPuXKZlR++Q/ixYNoMeYN2b4yhuKlpgcYkRF4MGbF4E4gCFHAKuHHfcQ34AZhXWAEKIYQQQgghhBBC5OVGRgKulk877MpV4PR+/0LrK+bKZWIuX6Ryw6aF0r59uQr0mTIDU50Zv079gOvnQ/XWCz9+hJUfjCc+9l96fziN+r5dCmRathDGMCSx6AO8QPqIxV5Am/uOFoCzUuqzQotQPBO2bdvGwIEDcXd3x9raGjMzMypUqECnTp1YsGABd+7cKZB+NE2TH6SPQUhICGPHjqVOnTrY2dlhampKqVKlaNmyJZ988gmRkZFFHaIQQgghhBDiORIVEUZxUx325SpQvUVrLp06SezNqELpKyw4EAD3QkosAtiVKcfLUz5HZ2HBr9M+4FrouaxzSimCNq7ltxlTsC3tyIDp31KxZp1Ci0WIvOSbWFRK7VFK+QOuwMaMzzOPAKXUlUKPUjy1oqKi8Pb2plOnTixfvhydTke7du3o3r07Li4u/PHHH4wcORI3NzdJRj0FkpOTGT16NHXr1uX777/n5s2beHl50bt3bxo0aMDJkyeZMmUKVatWZf369UUdrtG8vb3RNA1/f/+iDkUIIYQQQghhhKjw85Sq5IJJsWJUb+EDwJkDewulr9DDgZR2ccO2tGOhtJ+phGMZXv54BubWNvw67UOunDtNcmIC277/mn0rl1C1aQv6ffoVJRydCjUOIfJS3NCKSqlITdMsNU2rBzjyQFJSKfVbQQcnnm63b9/Gy8uL0NBQmjVrxoIFC6hTJ/t/Ue7cucP8+fP57LPPuHXrFpUqVSqiaIUhBgwYwK+//krZsmVZsGABXbt2zXY+JSWF9evX8/7770uiWAghhBBCCPFYKKWIijxPtWYtASjpVIayVT04vd+fxt16FWhfd2/f4so/Z2jWs1+Btpsb29KOvPzxDNZ8Oom1n02mhKMTNy9G0qLvIBq/1Ftm7IkiZ3BiUdO0tsAqwEHPaQUUK6igxLNh9OjRhIaG0rhxY3bt2oW5uXmOOjY2NkyYMIEePXpgZWVVBFEKQ/3www/8+uuvlCxZkgMHDuDq6pqjTvHixenduzcdOnTgn3/+KYIohRBCCCGEEM+b2BvXSbx7F0eXylllNVr48OeP87kRGU7pSjn/dnlY548eBqVwb1R406AfZONQKj25OPUDYm9E0X3CZNwaNHps/QuRF0PWWMw0C9gKVFBKmTxwSFJRZBMWFsaqVasAWLBggd6k4v3c3d0pW7Zs1uc3btxg1qxZ+Pr64urqirm5OSVKlKBp06bMnTuX1NRUo+I5deoUkydPpnnz5pQrVw6dTkfp0qXp2LEjO3bsyFF/4sSJaJrG22+/nWubW7ZsQdM0GjZsmOPc6dOnGTZsWFbsdnZ2tG3blk2bNulty8XFBU3TiIiIYMOGDfj4+GBnZ4emaRw/fhyAyMhIPv/8c3x8fKhYsSJmZmbY29vj4+PDypUrc43Tz8+PTp064ejoiKmpKfb29nh4eDB06FCOHj2a36MD0v8DOH36dAAmT56sN6l4P2tra+rXr5+jfOvWrXTo0IFSpUqh0+moWLEigwcP5vTp03rbyW/NzPufW27lv//+Oy+88AIlSpTA0tKSpk2b5ngf/P390TSNPXv2AODj45PVd+bU6GXLlqFpGr6+vrnGExISgqZplC9fnpSUlFzrCSGEEEIIIQpOVHj6xi2Orm5ZZVWbtcCkWLEC38Ql9HAAtqUdCzRZaQhrewcGzviOYbMXSVJRPFGMSSy6AFNlTcUitGIFuLiAiUn664oVRR1RrrZs2UJaWhq1a9fWm2DKz86dO3nrrbf4+++/cXV1pXv37jRo0IDjx48zevRoevbsiVLK4PZmzpzJ1KlTuX37NnXr1s1a43H79u106NCBmTNnZqv/6quvArBy5cpcE0Q///xztrqZVq9eTb169fjxxx+xsrKic+fO1KlTh3379tGtWzcmT56ca5zffPMN3bt35969e3To0IEWLVpgYpL+bbps2TLef/99Ll68iIeHB927d6dGjRrs27ePAQMGMHbs2BztLVmyhPbt27Njxw7c3d3p1asXXl5emJubs2TJEvz8/Ax6fn/99Rfh4eFomsagQYMMuuZBkyZNonPnzvj5+VGzZk169epFiRIlWLp0KQ0aNGDr1q0P1W5eFi9eTPv27YmLi6Njx454eHhw6NAhXnrpJdauXZtVr0yZMgwePBgnp/S1Sdq3b8/gwYOzjjJlytCnTx8cHR3x8/MjLCxMb39z584FYPjw4RQvbvCAcCGEEEIIIcQjiIo8j2ZiQilnl6wyS9sSuNRtwOkDe1BpaQXST1JCPJEhx3Fv2LRIpiCbmpljaVvisfcrRJ6UUgYdgB/Q0dD6T+vh6empDHXq1CmD6z6y5cuVsrRUCv47LC3Ty59AAwcOVIAaOnToQ11/6tQpFRgYmKP8ypUrql69egpQq1evznGe9Gn5Ocr9/f1VeHh4jvLAwEBla2urTE1N1cWLF7Oda9q0qQLUxo0bc1wXExOjzMzMlE6nU9HR0VnlJ06cUDqdTllbW6tt27Zlu+bkyZOqYsWKClC7du3Kdq5SpUoKUMWLF1dbtmzJ0Z9SSgUFBamTJ0/mKD937lxWuw8+M1dXVwWoAwcO5Lju4sWL6u+//9bb14MWL16sAOXm5mZQ/Qdt3bpVAcrKykrt2bMn27kvv/xSAapEiRLq+vXr2c7l9n5mynxuD763meU6nU5t374927mpU6cqQLm7u+dor3Xr1gpQu3fv1tvfhx9+qAD1zjvv5Dj377//Kmtra2VqaqquXLmSa8x5eaw/U4QQQgghhHhG/DZjivpp/Mgc5af3+6uv+3RSF06eKJB+zgUeUF/36aQiQwqmPSGeFkCwyiWPZsyQmgXA15qmlQNCgOQHEpSGzal8Xrz1FmRMYS0QgYGQmJi97N49GDYMFi0qmD7q1YPvviuQpm7cuAGAo+PD7ZJVvXp1veVly5blyy+/pF27dqxdu5aXX37ZoPZat26tt7xJkyaMHj2a6dOns3HjRt58882sc6+++iqBgYEsWbIkxyYlq1atIjExkZ49e2Jvb59V/tlnn5GUlMR3331Hhw4dsl1Ts2ZNZs6cSe/evZkzZw4+Pj454hkyZAidOnXSG2ujRvqHu1epUoWPPvqI4cOHs3btWpo0aZJ17vr165QsWZLmzZvnuK5ChQp629PnUd/Pb775BoBx48bRqlWrbOfeffddfvvtNwIDA1m0aBEffPDBQ/Whz5gxY3JMXZ4wYQJff/01oaGhXLhwAWdnZ4PbGzFiBDNmzOCnn35i2rRp2ab4//zzz8TFxdG7d+9s0/qFEEIIIYQQhSsq4jwVa9TOUV65YRNMzS04vd+fijXr6LnSOKHBgZhbWVOhes1HbkuIZ4UxicXMeYML9ZyTzVsK24NJxfzKnwEpKSns2rWLgIAArl27RkJCAkop7ty5A8C5c+eMau/OnTts3bqV48ePExMTQ1JSEkDWJiMPtte3b1/eeusttm7dSnR0NA4O/+1bpG8adFpaGjt27EDTNHr10r/zWGaCMyAgQO/5Hj165HkPCQkJ7Ny5k8OHD3Pjxg0SM97/q1ev6r2Hxo0b4+/vz6BBg3j77bepV6/eYx+yn5KSwoEDB4Cc08YzDRkyhMDAQPz9/Qs0sdi5c+ccZTqdDjc3N44dO8aVK1eMSiyWL1+eHj16sGbNGlavXp3tfubPnw+QLTkthBBCCCGEKFz3Yv8lLiYaRxe3HOdMzcyp0rgZ5wIP0GbICIrrdA/dT1pqKuePHsatQSNMikn6Q4hMxiQWH+/KpE+7Ahr5l8XFBSIjc5ZXqgT+/gXbVwEoXbo0AFFRUQ91/blz53jppZdy3dQDIDY21uD2Nm7cyNChQ4mJiTG4vRIlStC9e3dWrVrFypUrGTNmDABnzpwhKCiIMmXKZBsNFx0dndVGfiP7MkcAPqhSpUq5XhMQEECfPn24dOmSwfcwb948OnfuzLJly1i2bBklSpSgcePGtG3blkGDBlGmTJk848z0KO9ndHQ0iYmJmJiY5Hp/bm7pvwRcvnzZ6PbzklvS0NbWFkhP1Bpr7NixrFmzhnnz5mUlFnfv3s3p06epWbNmrqNjhRBCCCGEEAUvKjx9/XNH18p6z1dv4c2pvbsIPxZMlSY5Z3IZ6vKZv0mIu4N7o2YP3YYQzyKDN29RSkXmdRRmkAL47DOwtMxeZmmZXv4E8vT0BODw4cMPdX2vXr04ffo0Xbt2Zf/+/URHR5OSkoJSirNnzwIYvHnLpUuX6NevHzExMUyaNIm//vqL2NhYUlNTUUrxv//9L9f2MhNHS5YsySrLHK04YMCAbBt0ZO5UXaxYsWwbf+g7BgwYoDdWCwsLveX37t2je/fuXLp0iWHDhhEcHMzt27ez7mHnzp1676F69eqcOXOGzZs38/bbb1OtWjV2797Ne++9R+XKlfXuiK1P5vsZHh5OdHS0QdfoU9CjJdPyWYQ5c+ObguTl5UX9+vU5fPgwR44cAf7btGXUqFEF3p8QQgghhBAid1ER6TtCl9YzYhHAuVZdrEracWrf7kfqJ/RwIMVMTalU1/jNSYV4lhm1bammaR2ANwE3oL1S6qKmaa8B4UqpPwsjQJEhMxH1wQdw4QI4O6cnFXNJUBW1Tp06MX78eEJCQjh27JhRO0OfOXOGkJAQHB0d+e233yj2wDDz0NBQo2LZsmUL8fHx9OzZk+nTp+c4n1d7bdu2pUKFChw9epSQkBBq1qzJsmXLgJzTekuVKoWFhQXx8fHMmTMHa2tro+LMy969e7l+/Tqenp788MMPRt2DqakpnTt3zpoWfOvWLT755BNmzZrFsGHDDBolWKdOHVxcXIiIiGDp0qW8/fbbBsfu4OCAmZkZiYmJREREUKVKlRx1zp9P/2WgfPnyOWJPTk4mLi4ux/NMTk7OmgL+uI0ZM4ahQ4cyd+5cpk2bxsaNG7GxsWHgwIFFEo8QQgghhBDPq6jwMGxLO2JhbaP3vEmxYlRr3ooTfltJiIvD/CH+TlNKERp8iEq166Ez1z8YRIjnlcHDeTRNGwCsAf4hfVq0acapYsCEgg9N5DBgAEREQFpa+usTmlQEcHd3z9pYZeTIkVlrAeYmLCwsK0mUOV25XLlyOZKKACtWrDAqlsz2KlasmONcYmIi69aty/VaExMTBg0aBKSPVPzjjz+4fPkynp6e1KpVK1vd4sWL07ZtWwDWrl2bo61Hkdc9AKxcudLgtuzs7Pjqq68wMTHhypUruU7Lvp+maUyaNAmATz/9lPDw8Dzrx8XFcezYMSD9uXh5eQGwdOlSvfUzR4R6e3tnK89MNJ45cybHNX5+fqSkpOQbuzF0GWuu5Nduv379cHBwYPXq1cyYMYOUlBQGDRqEjY3+X2aEEEIIIYQQhSMqMlzv+or3q97Cm9SUFM4d2v9QfdyIDCf2xnUqN2z6UNcL8SwzZp7gBOB1pdTbwP1/dQcC9Qo0KvFMmDNnDm5ubhw6dIg2bdoQEhKSo87du3eZOXMmnp6eXL9+HUjf5djExISTJ0+yd+/ebPV/+uknVq1aZVQcHh4eAKxbty6rD4CkpCTGjBmTNVouN5kjE1esWMHixYuzlT1o8uTJmJqaMm7cOFavXp1jarJSiqCgIPz8/B7qHnbt2pUtyZaWlsann36atTnK/e7du8fMmTP1Jg63bt1KWloatra2lCxZ0qAYXn/9dbp3787t27dp0aIFmzdvzlEnNTWV9evX4+npyZ49e7LKx48fD8B3332XI9aZM2cSEBBAiRIleO2117Kde+GFF4D0ZGbmZjsAf//9d9aalwUpM5GZ19qeAObm5rz++uvEx8fz/fffAzINWgghhBBCiMctKSGeW1cvU7pS3olFJzd37MpV4PR+/4fqJyz4EGgalT0bP9T1QjzLjEksVgH0bWUbB9gWTDjiWWJvb8/+/ftp0aIFBw8epE6dOtSsWZOePXvSr18/WrVqhYODA++88w7m5ubY29sD6RuFjBo1ipSUFHx8fGjTpg39+/endu3aDB06lIkTJxoVR9euXalfvz4XL16kSpUqdO3alT59+uDq6srKlSsZO3ZsntdXqVKF5s2bc+3aNdasWYNOp6N///566zZs2JClS5eSnJxMv379cHV1pWPHjrzyyiu0b9+eMmXK0KRJE3bt2mXUPTRo0IDOnTsTGxtLvXr16NChA3379qVKlSpMnTqVCRNyDhpOSkrinXfeoWzZstSvX58+ffrQt29fGjVqRPfu3dE0jS+++AJTU1M9PeakaRq//PILI0aM4OrVq3Tt2pXy5cvTtWtXBgwYgK+vL6VLl6ZHjx5ERkbi6vrffk+dOnXivffeIy4ujlatWuHt7Z31nma+/8uXL8fJySlbn5MmTcLW1pbNmzdTrVo1evXqRYsWLWjQoAFeXl55bnbzMLp37w7Au+++S9euXXnttdd47bXXstb1vN+oUaOyRtR6e3tTo0aNAo1FCCGEEEIIkbcbkRGgVK4bt2TSNI3qLVpz6dRJYm8avyFl6OFAylXxwKqk3UNGKsSzy5jE4hWgqp7yVkBYwYQjnjVly5Zl3759bN68mf79+xMfH8+OHTv47bffOH/+PG3btmXhwoWEhYVl28F31qxZLFy4kLp16xIUFMT27dtxcnJi+/btDB8+3KgYihcvzp49e5gwYQJly5bFz8+Pffv20apVK44cOWLQ+o9DhgzJ+rhLly5ZSVB9+vbtS0hICGPHjsXS0pI9e/awfv16QkNDqVevHrNmzco3manPunXrmDFjBu7u7vj7+/Pnn39Ss2ZN9u/fT4cOHXLUt7a2Zv78+fTq1Yv4+Hh27tzJpk2buH37Nv379ycgIIARI0YYFYOpqSnz58/n2LFjjB49Gnt7e/bu3cuaNWsIDg6mVq1aTJs2jdDQULp165bt2hkzZrB582ZefPFFQkJCWLt2Lbdu3WLgwIEcOXIkaw3I+1WuXJkDBw7QtWtXbt++zdatW/n333/56quvcp1W/Si6du3KvHnz8PDw4I8//mDx4sUsXrxY71qOFStWzBpJ+uabbxZ4LEIIIYQQQoi8RUVk7Aidz1RogOotfAA4c2BvPjWzi70ZRVREGO6NZBq0EPpohu6sq2naBGAI8BqwA+gMuABfA1OUUnMLKcbHqmHDhio4ONiguqdPn6Z69eqFHJEQ4kl04sQJ6tWrR7ly5YiMjMy2Q/jDkp8pQgghhBBCGG7ngtmEBgcyatEKNE3Lt/7Kj/6P5IQEBn81x+A+jm7fzO4l/2PIt//Dvlz5/C8Q4hmkadoRpVRDfecMHrGolPoS+A34HbACdgMLgAXPSlJRCCEMNXnyZADGjh1bIElFIYQQQgghhHGiIsJwdHEzKKkI6Zu43LwQwY3IvDejvF9YcCD25StKUlGIXBgzFRql1AdAKaAx0BQorZT6qDACE0KIJ82mTZsYNmwYjRs3ZtOmTbi4uDB69OiiDksIIYQQQojnTmpKCtEXIw2aBp2pWrOWmBQrZvAmLglxcVw8FYJ7wyYPGaUQzz6jEosASql7SqlgpVSQUiquMIISQogn0dGjR/nxxx85c+YMvr6+7NixAysrq6IOSwghhBBCiOdOzOWLpKak5Ltxy/0sbUvgUrcBpw/sQaWl5Vs//NhhVFoa7o2aPUqoQjzTDE4sappmpmna25qmbdI0LVDTtKD7j8IMUgghngRTpkxBKUVsbCzbt2+nWrVqRR2SEEIIIYQQz6WoiPMAOFYyfMQipE+Hjou+id/COVwPz3sf2tDDgVjZ2VOmcpWHjlOIZ50xC4MtIn3Dlo3AKcCwXV+EEEIIIYQQQgghClBUeBjFzcywK1fOqOvcGzenpndbTu/fzcndfpR2caO2z4t4tPDGwtomq15KcjLhJ45SvUVrNBOjJ3sK8dwwJrHYFeimlNpTWMEIIYQQQgghhBBC5Ccq4jylnV0wMSlm1HXFTU3xHfkW3gNf4/QBf07u+p1dP/2PPct/xL1RM2r7tMO5Vh0unjxBckK8TIMWIh/GJBajgJuFFYgQQgghhBBCCCFEflRaGlER56newvuh2zC3tqZ++87Ub9+Z6+FhnNz9O2f2+3P24F5sSztibmWDzsKCijXrFFzgQjyDjEksvg9M1zTtVaXUrcIKSAghhBBCCCGEECI3/0ZdJyn+Ho6uxq2vmBsn18o4uVam9StD+edwACd3/86FkONUb+lDcVPTAulDiGeVMYlFP+ANIErTtGtA8v0nlVIF8x0thBBCCCGEEEIIkYuoyIyNW1wM3xHaEMV1Oqp7taa6V2vu3r6FzsKiQNsX4llkTGJxKVAD+A64jmzeIoQQQgghhBBCiMcsKvw8mokJpSpWKrQ+rEraFVrbQjxLjEksvgi0UUodKqxghBBCCCGEEEIIIfISFRGGQ/mKFNfpijoUIZ57xuyZfgFILKxAhBBCCCGEEEIIIfITFXEeRxdZjU2IJ4ExicW3gS81TXMvrGCEEEIIIYQQQgghcnP39i3u3orB0bVg11cUQjwcY6ZC/wqYAWc1TUsEUu4/qZSyLcjAhBBCCCGEEEIIIe4XFZG5cYuMWBTiSWBMYnF0oUUhnnnbtm1j1apVBAQEcO3aNZKTkyldujR169alS5cuDBgwABsbm0fuR9M0AJR69vYWOnDgAD///DP79u3jypUrxMfHY29vT61atejQoQMDBw7E0dGxqMMUQgghhBBCiEKTmVgsLYlFIZ4IBicWlVI/F2Yg4tkUFRVFnz592LNnDwDVq1enXbt26HQ6Ll26xB9//MG2bdv46KOPCA4OplKlwtvV62kVFxfHkCFDWLt2LQCurq54e3tjZWXFtWvXCAgI4M8//2TKlCn88ccfNGnSpIgjNo6LiwuRkZGEh4fj4uJS1OEIIYQQQgghnmBREecp4eiEuZV1UYcihMC4EYtomuYEDAQqAx8ppW5qmuYFXFFKhRdGgOLpdfv2bby8vAgNDaVZs2YsWLCAOnXqZKtz584d5s+fz2effcatW7cksfiApKQk2rdvz8GDB/Hw8GDhwoW0bNkyW53ExER+/vlnPv74Y65evVpEkQohhBBCCCFE4bsREUbpSjJaUYgnhcGJRU3TPIE/gXCgJvAVcBN4EagK9C+MAMXTa/To0YSGhtK4cWN27dqFubl5jjo2NjZMmDCBHj16YGVlVQRRPtk+/fRTDh48iIuLCwcOHMDe3j5HHTMzM4YPH063bt24fft2EUQphBBCCCGEEIUvKf4et65eoXpLn6IORQiRwZhdob8GZiml6gOJ95XvBLwKNCrx1AsLC2PVqlUALFiwQG9S8X7u7u6ULVs2W1lycjJz5syhSZMm2NraYmFhQfXq1Zk4cSLR0dFGxaNpWtb6i/q4uLigaRoRERHZyq9cucLo0aNxd3fH3NwcS0tLnJ2d8fX1ZeHChTniXbZsGf369aNatWrY2NhgaWlJjRo1eO+994iJiTEq5tjYWGbPng3AzJkz9SYV7+fk5ES1atWylSmlWLZsGd7e3tjZ2WFubk7lypV58803uXjxYo42IiIi0DQtzynJuT3L+8t/+eUXmjVrhrW1NTY2Nrzwwgvs378/W/0lS5agaRqRkZFA+hTvzDYy34upU6eiaRojRozINZ7NmzejaRqNGzfOtY4QQgghhBCiYB3ZuoENX00l9mbUY+szKjJ9oqSji+wILcSTwpjEoiegb53Fq4BTwYQjnhVbtmwhLS2N2rVrU79+faOvT0hIoF27dowZM4aTJ0/SqlUrunTpwu3bt/niiy/w9PTk/PnzhRD5f65evYqnpydz584lJSUFX19funTpgrOzM4GBgcycOTNb/evXrzNo0CB27tyJg4MDHTt2pHXr1ty4cYMvv/ySRo0acfPmTYP73717N3fu3KFkyZJ07drV6PiVUrzyyisMGjSIgwcP0qhRI1566SWUUsybN4969epx+PBho9vNz+TJk+nfvz86nY5OnTpRoUIFdu3axQsvvEBAQEBWPXd3dwYPHpw1UrVnz54MHjw467C2tmb48OHodDpWrFhBbGys3v7mzp0LwJtvvlng9yKEEEIIIYTIKS01laCNawkLPsTSCWM4F7g//4sKQFR4xo7QrjIVWognhTFrLMYDdnrKPYDH9y8K8VQ4cuQIAI0aNXqo6ydPnoy/vz8eHh788ccflC9fHoD4+HgGDhzIunXrGDBgQLZEVUFbtGgR165d44033mD+/PnZRuklJiZy6NChbPVLlCjBpk2b8PX1xdTUNKs8Pj6eN998k59++omPPvqI+fPnG9R/5jNs0KABxYoVMzr++fPns3LlSpycnPjzzz+pWbMmAKmpqbz99tt8//339O7dm7Nnz2JmZmZ0+7mZO3cuQUFBeHp6ApCWlsaIESNYtGgRkydP5vfffwegRYsWtGjRAn9/f+7evcvXX3+td6Rknz59WL58OUuXLmX06Oyb04eGhuLn54eDgwMvv/xygd2DEEIIIYQQIncX/v6Le//epvUrQzkbuJ/N386gdpt2+Awejmk+s9UeRVREGBa2JbC2cyi0PoQQxjEmsbgR+FjTtN4ZnytN01yAL4B1xnasaVp/YCRQBygGnAF+AuYrpdKMbMsOeBfoAriRfl/XgL3AN0qp48bG98i2T4RrIY+920dSpjZ0mFEgTd24cQMAR0dHo6+Nj4/PSr7Nnj07K6kIYGFhwYIFC9i5cyeBgYEcOHAAL6/CmYl//fp1AHx9fXNM/TUzM6NVq1bZymxsbOjSpUuOdiwsLJgzZw7Lli1j3bp1BicWH+UZAnzzzTcATJ06NSs8mcVwAAAgAElEQVSpCFCsWDG+/vprNm7cSGRkJGvXrmXAgAEP1Yc+n3zySVZSEcDExISpU6eyaNEi9u3bR3JycrbEa37GjBnD8uXLmT9/fo7E4vz581FKMXTo0Hyn2wshhBBCCCEKxpkDe9BZWFKvfWfqd+jKwTXLCdq0jstnTtFp3AQcXQpnROGNiHAcXdzyXOZKCPF4GTMV+v8Ae+AGYAnsB0KB28CHxnSqadpcYAXQENgH/E76BjBzgLWaphkcl6ZpzsBxYBJQBtgNbAaSgVeAw5qm9TQmPlG0jhw5QlxcHOXKlePFF1/Mcb5UqVJZCTx/f/9CiyNzzb733nuPDRs2cPfuXYOuO3bsGF9//TWjR49myJAhvPrqq4waNQqdTseNGze4detWocWc6dKlS5w/fx4TExMGDhyY47xOp8tKJhb0M+zcuXOOMicnJ+zs7EhMTDR6fczGjRvTuHFjTp06lS3W+Ph4lixZgomJCSNHjnzUsIUQQgghhBAGSElOJjQogCqNm1Fcp6NY8eK07P8qvT+cRlL8PVZ+MJ4jWzeg0owaL5Sv1JRkbl6MLLSkpRDi4Rg8YlEpFQu00DStDdCA9KTkUaXUH8Z0mJHkG0X6iMJWSql/MsqdSE8KdgfGALMMbHIG4AxsA3orpe5ltGcCTAY+Bv6nadompVSyMbE+kgIa+fe0Kl26NABRUcbPkr98+TKQvplHbtzc3LLVLQwDBw7Ez8+PlStX0r17d4oVK0atWrVo1aoVffv2pXnz5tnqx8XFMWDAADZt2pRnu7GxsdjZ6VtVILuCeIZly5bNdSRfYT1DZ2dnveW2trbcunWLhIQEo9scO3Ysr7zyCvPmzcPb2xuA1atXExMTQ6dOnfL8WhFCCCGEEEIUnIjjR0i8dxeP5tlncDnXqsvAL7/H73+z8V/6AxF/HcN35FtYlcz/bx9DRF+6SFpqiiQWhXjCGDNiEQCl1C6l1NdKqS+NTSpmmJTx+l5mUjGj3eukT40GmGjEqMXMfeanZSYVM9pLA6aSvjakA1DlIWIVDylzKuyjbA7yOIe3p+n5b5qJiQkrVqwgJCSEzz//nA4dOnDhwgW+//57vLy8GDZsWLb6kyZNYtOmTdSoUYNNmzZx5coVkpKSUEqhlMra9VopZVBMmc/w6NGjpKamPtR9FfQz1PecHmRiYvSPlXz17t0bJycnNmzYwNWrVwGYN28eAKNGjSrw/oQQQgghhBD6nTm4FwsbWyrWqpvjnKVtCbr934e8MHQkl/4OYemEMZw/dtjgv4HyEhUeBoCjq+wILcSTxJgpx5NzOT7SNO1dTdO6a5pmkU8bFUjfXToJ+PXB80qpPcBl0qc0NzUwtMR8zmf+BDN8O17xyDp16oSJiQkhISEcO3bMqGsz11QMDw/PtU7mjtD3r7+Yl8w1/eLi4nKcS05OzkpW6VOrVi0mTpzI5s2buXnzJps3b8bGxoYff/wRPz+/rHq//pr+Jf3LL7/QpUsXypYtm9Xv3bt3uXbtmkGxZvLx8cHa2prbt2/nOwryQZnP5cqVKyQm6v8W0fcMdTodoP85AURGRhoVR0HR6XS88cYbJCcns2jRIoKCgggODsbNzQ1fX98iiUkIIYQQQojnTXJCAmFHDlG1qRfFiuufAKlpGvXad2LA9JlY2NiyfsYnLB77Gv5LF3Hp9EnS0h5u0MT18DBMzcyxK1PuUW5BCFHAjBla1Bt4h/Tpxa9lHJNJX3vxDWA1cE7TtLzGJdfPeP1bKRWfS53DD9TNz46M1w81TbPMLNTSh2p9RPp6kJuUUrJz9WPk7u6etUvvyJEjc01uZQoLC8tK7nl6emJtbc3ly5f5888/c9SNjo5m8+bNAFnTYvOTmTw7c+ZMjnN+fn6kpKQY1I6JiQmdO3emW7duAJw4cSLrXExMDAAVK1bMcd3KlSuN/i+dra0tY8aMAeCdd97Jaj83UVFRnD17FoAKFSrg5uZGWloay5cvz1E3OTmZFStWANmfYenSpdHpdERHR2dtHnO/bdu2GXUPhshMZub3HowYMQJTU1MWLlzI7NmzgfSvrcIYISmEEEIIIYTIKezIIVISE/Fo3jrfuqWcXRjw+be8OHwM9uUrcnznVn6ZMpEFwweyc8Eswo4cIjlJ/9+JCXfjiAw5zqENv7Jp5nQWjR7K8Z1bcHStjCa//wvxRDHmO/Ib0pN+LkopZ6WUM+ACHAI+BcoB54CZebSRuRBaXsOeLjxQNz8fAkFARyBS07TNmqatzYjlfWA56Zu4iMdszpw5uLm5cejQIdq0aUNISM5dsu/evcvMmTPx9PTM2oXZwsKCESNGADBu3LhsowkTEhIYOXIkcXFxNG3a1OAdoV944QUAPv30U5KSkrLK//7776zk3YOWLl3K0aNHc5RHR0cTEBAAQKVKlbLKPTw8gP+m6GYKDg5m0qRJPIyPP/6YJk2aEB4eTosWLdi/f3+OOklJSfz444/Ur1+f06dPZ5WPHz8egI8++ihbQjU1NZUJEyZw4cIFKlWqRK9evbLOmZqa0rJly6y+70+G7t+/n8mTJz/UfeQlM+l7f+z6lC1blp49e3L58mVWrFiBubk5Q4cOLfB4hBBCCCGEEPqdObgPa3sHynvUMKi+qc6MOi+0p8fEKYz6YSWd35pIpTr1ORd4gA1fTmX+awPYNHM6J3f/TvCW9Wyd/RWLx73O3KF9WTvtQ/av+pmoiPOUda9Gq1eG4jvyrUK+QyGEsTRDR1FpmhYOdFNK/fVAeT1gg1LKRdO0psBGpZRTLm28D3wGrFBK6U32aZr2GekJwYVKqTcMjM0KmAsMfuDUWeBrpdQPhrQD0LBhQxUcHGxQ3dOnT1O9enVDm34uXb16lT59+mQlxGrUqIGHhwc6nY7Lly8TFBREYmIiTk5OBAUFZW38kZCQQIcOHfD398fKyoo2bdpgYWHBvn37uHr1Ks7OzuzevTtrA5JMmWsKPvh1HRYWRoMGDYiNjcXFxQVPT0+uXbvG4cOH6dOnD/v27SMyMpLw8HBcXFwAeOmll9i4cSPly5enXr16lCxZkujoaPbt28fdu3dp2bIlf/75Z9Z057Vr19K7d28A6tatS/Xq1bly5Qr79++nb9++HDhwIEcfhrhz5w6DBg1iw4YNQPqmK7Vr18bS0pLr168TFBREXFwctra2/P7771m7WSulGDBgAKtWrUKn0+Ht7Y29vT1BQUGcP38eOzs7du7cSaNGjbL1d/DgQXx8fEhKSqJ69erUrFmTyMhIjhw5wvvvv8+0adP0PuPcnn0mFxcXvfc/e/Zsxo0bh42NDe3ataNkyZIAfPHFFzg4OGRrIyAgIGvTnFdffZWffvrJ4Of4NJCfKUIIIYQQ4kmVcDeOBcNfoV77zngPeu2R2kpNSebi3yGEHg4kNDiQu7fSZ2fZOJTGyc2dMpWr4FS5Ck5u7lhY2xRE+EKIR6Bp2hGlVEO9JzM3lsjvAO4BjfWUNwHuZXzsCtzJo433SV/zcHkedT7LqPM/A+PyIH104lXSRyaWAUoAbYAjGW39mE8bw4FgINjZ2VkZ6tSpUwbXfd5t3rxZ9e/fX7m6uipLS0ul0+lU+fLlVadOndTChQtVXFxcjmuSkpLU7NmzVaNGjZS1tbUyMzNT1apVUxMmTFA3b97U20/G+633XEhIiOratasqWbKkMjc3V7Vq1VKzZs1SaWlpqlKlSgpQ4eHhWfX37t2rxo0bpxo1aqScnJyUTqdT5cqVUy1btlSLFy9WCQkJOfrYvXu38vHxUfb29srKykrVq1dPzZ49W6Wmpurtwxh79+5Vw4YNU1WrVlU2NjbK1NRUOTk5qbZt26pvv/1W7zNJS0tTS5cuVS1btlQlSpRQOp1Oubi4qJEjR6oLFy7k2te+ffvUCy+8oKytrZWlpaVq1KiRWr58uVIq92ec17NXSuV6/6mpqWrq1KnKw8NDmZmZZbWj7zmlpKQoW1tbBajDhw/n2tfTSn6mCCGEEEKIJ1XILj/1dZ9O6uo/Zwu03bTUVBUVGa7ibsUUaLtCiIIDBKtccmrGjFjcBFTMSMIdySj2BP4HXFRKddM0rSvpuzPXyaWNscAs0kc4ds+lzixgLPCNUur/8ompOHACqA54KaUCHjhvD5wCnIA2Sqnd+d2njFgU4sm1ceNGXnrpJRo3bsyhQ4eKOpwCJz9ThBBCCCHEk2rtZx/x7/VrDJ21MGu2khDi+ZDXiEVj1lh8DbhO+pqKiRlHYEbZ6xl17pC+mUtuIjJeK+VRJ3Pni4g86mRqAtQAwh9MKgIopWKA7RmftjWgPSHEEyolJYWpU6cC/60fKYQQQgghhCh89/69zYWQE1Rr3kqSikKIbPTvD6+HSt9V2VfTtGpAtYziM0qpc/fVyW9E4LGM15qaplko/TtDN3qgbl6cM17/zaPO7YxXewPaE0I8YX766Sf27t1LUFAQp06dokmTJvTp06eowxJCCCGEEOK5cTZwP0ql4dG8ZVGHIoR4whi9T7tS6qxSalPGcS7/K7JdexE4CuiA3g+e1zStNVABuAbkGIGox5WMVw9N00rmUqdpxmu4MbEKIZ4Me/bsYcmSJVkbAa1fv17+SyqEEEIIIQpNwt24XDckfF6dPbiXUhUrUcrZpahDEUI8YYxKLGqaVlXTtPc1TVugadqP9x9GNPN5xusXmqa539e2IzAv49MZSqm0+86N1jTtjKZpSx9oK4D05KIFsFjTNNv7rjHRNO1D0hOLKcA6I2IUQjwhlixZglKKmJgYfvnlF8qWLVvUIQkhhBDPpaT4e2yfO5NroUaNLRDiqRJ/J5aFI1/l8Cb58zFT7M0bXD5zimrNWxV1KEKIJ5DBiUVN0zoBfwFdgKGkT4fuCHQHShnajlJqLTCf9N2bQzRN26xp2m/AP6Svl7gBmPPAZaUy+nN+oK0k4FUgHugBnNc0bXtGe6HAVCANeEspFWZojEIIIYQQQoj/KKXw+9/3nNq7iz3LjRlTIMTTJfKvYyQnJhC04VcS4uKKOpwnwtmAfQB4SGJRCKGHMSMWPwU+UUo1I33jloGAC/AH4G9Mp0qpUcAA0qdFtwbak54IHA30VEqlGtHW70BdYAEQDXgDnUhfP3I16btFzzUmPiGEEEIIIcR/Tvht42zAPhxdK3Pp9EkZtSieWeHHj1DczIzEe3c5snV9UYfzRDh7cC9lKlehZBmZOSSEyMmYxGI14JeMj5MBS6VUAukJx7eM7VgptVIp5aWUslVKWSmlPJVSc++fAn1f3SlKKU0p5Z1LW/8opUYqpaoppSyUUmZKKWelVD+lVKCxsQkhhBBCCCHSXQv7B/+li3Ct35A+k6ejs7AkeIskXMSzR6WlEXHiKO4Nm1K1aQuObNvEvdi89gl9fIpqzcdbVy9z/XwoHl6ti6R/IcSTz5jE4h3APOPjq0Dm+ojFAbuCDEoIIYQQQghR9BLi4tj87QwsS9jR4c3xmFlaUaetL+cOHeDfqOtFHZ4QBSoqMpx7/97GpW4DmvceQEpi4hOx1mJaWiorPxjP2s8+IuHu452efebgXtA0qjZr8Vj7FUI8PYxJLB4CMn+abAW+0TTtY+AnDNvBWQghhBBCCPGUUEqxY/53xMVE0/mt97CwSd8nsUGHrmiaxtHtm4o4wvQRZn/v+ZPr50OLOhTxDIg4fgQAl7oNcKhQEY8WrTm+cyt3b98q0rjOBuznWtg/RIYcZ/XkCcTeiHrotm5dvYz/0kXcvBiZb12lFGcO7KWCR01s7A3eVkEI8ZwxJrE4HsicVjwF8AN6kr424msFG5YQQgghhBCiKB3Zsp6w4EBavzKEclU9ssptHEpRrXkrQnb5PfbRU/dLuBvHxm8+Y8e8bzmwZnmRxSGeHREnjuLoUhmrkukT8pr16kdqSjKHNqwpspjS0lIJXLeaUhUr0fvDacTFRLPyw3e4FvaPUe0opTi5+3eWvTeOI1s3suy9sexd8RNJCfG5XnPzQgQxly/i4SWbtgghcmdwYlEpdV4p9VfGx/cy1jSso5TqpZS6UHghCiGEEEII8eyIvxNLVMT5og4jT5fPnGLvyiVUadyc+h265jjfsHN3khPi+euPHUUQHURFnGfFpLcJPxZMCUcng0ZfCZGXxHt3uXz2FC71GmSV2ZUpRy3vtvz1+3Zib94okrjOBewn5vJFmvbsi3OtuvSb+hXFTE355ZOJhB0JMqiNhLtxbJn1JTsXzKJM5SoM/GI2NVq14fCmdSwZP4p/Dh3Uu4bjmQN70ExMqNLEq6BvSwjxDDFmxGIWTdNKappmf/9R0IEJIYQQQgjxLNq36mdWvP82l8+cKupQ9LoX+y9bZn2BbWlH2o8ch6ZpOeo4urjhXKsux3ZsJjUl+bHG9/eeP1n14f+RkpRIn49nULtNe+7cvEHivbuPNQ7xbLkQcgKVloZrPc9s5U179EUpOPTbL7lcWXhUWhqBv/2CQwVnqmYk9xwqONN/2jc4lK/Ixq+mcXzn1jzbuHT6JEsnjCE06CAt+g2m10fTcHRxo/2IcfT95EvMrazYNHM662dM4fa1q//1rRRnDu6jUp36WNqWKNT7FEI83QxOLGqaVknTtO2apsUD0cCNjONmxqsQQgghhBAiD0opIo4fJS01lc3fzSjytdsepNLS2D7nG+LvxNLlrYmYWVrlWrdh5+7ExURz9uC+xxJbSlISvy+cw45531K2qgcDv5hN+WrVKeXsAsDNizKJSjy88BNH0FlYUraKR7Zy29KO1GnbnpP+v3P7+rXHGtO5QweIvnSBpj1eRjP57093q5J2vPzxDFwbNOTPH+ezZ/mPqLS0bNempaZyYM1y1nzyPsWKF6ffp1/R5KXemJgUy6pT3qMGr8yYhfeg17l05hRL/m8UAWtXkZKUxLXQc8TeuI5Hc5kGLYTImzEjFn8CnIBhwAtAm4zDJ+NVCCGEEEIIkYdbVy9zJ/oG9dp3IvHuXbbM+oK01NSiDivLoQ2/EnHiKD6Dh+Pk5p5nXZd6njhUcCZ4y3q90ygLUuyNKFZ//B5//bmDRt160euDqViWKAlAqYqVgPT14IR4GJkJ/0q161GsePEc55u81AcTk2IErlv1+GJKSyNg7Srsy1XQuyOzqbk53f7vA+q170Tw5t/Y8t0XJCclAvBv1DVWT3mPwHWrqdGqDQNnzKKMe1W9/ZgUK4Znp24M/XYB7o2acfDXFfz87psc/HUFxUxNcW/UtFDvUwjx9DMmsdgYGKSUWqmU8ldK7bn/KKwAxdPLxcUFTdOyDhMTE2xsbKhYsSJt27Zl0qRJ/PXXXwXe75QpU9A0jSlTphh8jb+/f1acFStWJCEhQW+94OBgNE3DxcWlYIJ9CiQmJrJw4UI6d+5MhQoVMDc3x8rKiipVqtC/f3/Wr19P2gP/IRVCCCGEfpEhxwHw7PgSLw4fzaVTJ9m36ucijirdhZN/cXDNCjy8WlOnrW++9TVNw7PzS9yIDOdCyIlCiyvi+BGWTRzHrauX6fp/H9Cq/6uYFPtv1JVtaUdMzS1knUXx0GIuX+RO9I1s6yvez9regbrtOnJq725irlx6LDH9E3QwfbRiz77ZRhnez8SkGG2GjKD1wGGcCzrI2qkf8tcfO1g6YQwxly7Saey7+I56C52FZb79Wds70HncBHp9MA3NpBgRJ47iWq9hnqOWhRACjEsshgNmhRWIeHa1b9+ewYMHM2jQIDp06IC7uzvBwcHMmDGDunXr0rVrV65de7zTCvJy6dIl5syZU9RhZMlMenp7ez/2voOCgqhatSpvvPEGO3fupEKFCnTr1g1fX18sLS1ZtWoVPXr0oEmTJo89tkdVlM9VCCHE8yvyr+OUcHSiZJmy1GjpkzXa6Fzg/iKNK+5WDFtnf4ld2XK8OHy03nUV9anewgfLEiUJ3rq+wGPKHLG1bsYUrO0deOXzb6nSqFmOepqmUaqiMzcvRhR4DOL5EH4sGACXup651mncrRfFdToO/rqy0ONRaWkErFuNXbkKVGveMs+6mqbRsHN3urw9kajwMH5fNIdSzq4M+vJ7PLxaG913pTr1GPTl97R7YyytXhnysLcghHiO5BznnbtxwOeapo1SSoUWVkDi2TNx4sQcyZu0tDQ2b97M+PHj2bx5M61bt+bgwYM4ODgUTZAZLCwsiI+P5/PPP+f111+nRInnd6Hi4OBgWrduTUJCAkOHDuXzzz/H0dExW50LFy4wffp01qxZU0RRCiGEEE+PtNRULv79V7ZEgfeg17h+PpQd82fhULESDuUrFklsF0KOk5yYSO+PPkNnbmHwdcVNTanv24UDvyzj5oWIrPUOH1Xivbtsm/MN548EUaOlD21ffxNTM/Nc65dyduGfoACUUgYnRYXIFH7iKA4VnLEtVTrXOpYlStKgY1cOrV9Dk+59KF1AX+v6hB4O5OaFCDqOfifX0YoPqtrEC9tSjlw//w+127TPNqrXWMVNTandpt1DXy+EeL4YM2JxI+ANnNU07Z6mabH3H4UTnnhWmZiY0K1bN4KDg3F3d+fcuXO88847RR0Wbm5udO7cmZiYGL788suiDqfIJCcn06dPHxISEhg7diyLFy/OkVQEcHZ2ZsGCBWzYsKEIohRCCCGeLtfCzpEUf49KtetnlRUrbkqXtydRXKdj0zfTSUqIL5LYarRqw2vf/5C1XqEx6r7YgeJmZgRvLZjfB6IvX2TFB+8QfiyYNkPewPfN8XkmFSF9ncWEO7Hc+/d2gcQgnh/JCQlcPn0Sl3q5j1bM5Nm5OzoLSw6uWVFo8aSPVlyFXdnyVPMybuOUMpWrUPfFjo+UVBRCCGMZk1gcDbwODAVGAmMeOIQwmp2dHd999x0Ay5cv1zslOjo6mg8//JDatWtjbW2NlZUVDRo04NtvvyU5ObnAY5o+fTomJiZ89913Rk/RjoyMZNSoUbi5uWFmZoadnR0+Pj6sXKl/ysT960FGRkYyZMgQKlSoQPHixXnrrbfw9vbGx8cHgD179mRbs/LBUaBKKVavXk27du0oVaoUZmZmODs78/rrrxMREWHUfaxYsYLw8HAcHR0NSrC2apXzl56bN2/y3nvv4eHhgYWFBba2tjRt2pR58+aRkpKS57PQZ8mSJWiaxquvvppr+Z07d3j33XdxdXXFzMyM8uXLM3LkSGJiYrJdk99zVUpRpUoVNE0jMDAw1/vu2bMnmqYxb968fJ6QEEIIkT4NGk3DuVadbOU2DqXoPG4Ct65cxm/B7ELfCCU3lrYPN1PDwsaWWt4vcnqfP3G3YvK/IA+hwYdY+cF4EuLu0Pujz6jv28WgEYilKroAcEM2cBFGungqhNSUFFzzmAadycLahoaduxN6OIDr5wtnEl/okUPciAynaY+XDR6tKIQQRcngqdBKqSdjVWnxzOnYsSP29vbExMSwe/du+vXrl3UuJCQEX19frly5QoUKFfD29iYtLY1Dhw4xfvx4tm7dyrZt29DpdAUWT+3atRkwYADLli3j008/NThpFBgYSIcOHbh9+zaurq50796dmJgY/P398ff3Z8eOHfz88896fzn+559/qF+/Pubm5nh5eZGSkkLJkiXx9fXF3NycnTt34uTkhK/vfwupe3h4ZH2cnJxM3759+e2337CwsKBhw4Y4OTlx8uRJfvjhB9atW4efnx8NGzY06F42btwIwMsvv4yZmfFLq4aGhtKmTRsuXrxImTJl6NKlC/fu3WP37t3/z96dh1VZpg8c/z7sKKCyyL4IiLgvgEvmQlouqVmmmZljjVkuNTVNaWOLNdNqM/10lGyxbHJJzX03zV1BFtfEBWQTcGEzXEDgvL8/WEYC4Rw8gOj9uS4u4H2f93nvcyA83ed57pspU6awevVqNmzYUKO5b+fKlSv07NmT1NRUevfuTbt27di3bx/z58/n0KFDhIeHY25uDlDt86qUYsqUKbz22muEhYXRvXvFbnipqamsW7cOW1tbnn32WaM9DiGEEPeupONHcG7hh7WtXYVzXu068uDT49i7ZCGuLQMJevSxeoiw5oIGP8aRbRs5snUDD44eZ/D1pau0Dv68FGfflgx7/e9Vbkv9I0ev4pWWmSlJ+HToXM1oIf4n4UgUZpaWuAe20Wt8l8GPEbN5HfuXL+KJ6TONGoumaYT//BNNXVxrVB9RCCHqgyE1FssopVyAcpkcTdOSjRKRuO8opejSpQvbt2/nt99+Kzt+48YNHnvsMdLS0vj444/529/+hplZ8a9sVlYWTz31FNu3b+ejjz4yqAO0Pj744AOWLVvGt99+y+uvv46fn1+V4/Py8hg1ahQ5OTm8+uqrfP7555iWbEE4ceIE/fr148cff6Rnz568+OKLFa5fsmQJ48eP56uvvqqQJO3evTtbt24lMDCQhQsXVnr/d955h1WrVtG7d28WL16Mh4dH2bm5c+fy8ssvM3r0aE6dOlX2HFYlOjoagJCQkGrHVmbMmDGkpKQwcuRI/vvf/2JlVbx9KSUlhf79+7N9+3ZmzpzJxx9/XKP5K7NmzRoGDx7MgQMHsLGxASAtLY3u3bsTExPD8uXLeeaZZ4Diup/VPa/PPfccb7/9NitWrOCLL76oUP/zq6++orCwkHHjxmFra2u0xyGEEOLedPPGddLPniJ4yOO3HRMybATpZ0+xZ/F3OPv54xHYtg4jvDNNXVxp2bUHR7dtotvwUZhbVb11+Vb516+zed6/iI+KoG2ffvSbMBlzC8PefGxk14RGTZrKikVhsMQjMXi17YCZngsVLBs1ImTYCPYuWUjq6VjcW7U2Wizx0Ye4lBjPwMmvyXZmIUSDoXdiUSnVBJgDjOIPScUS8pfvFp8e+pRTWafqOwyDBNoHMq3rtHq5t6OjI1C87bnUwoULSUhIYNSoUUyfPr3ceHt7e3744Qd8fHyYN28e7733nlELdfv4+PDSSy8xZ84c3n77bZYuXVrl+BUrVpCSkoKPj5cjLYQAACAASURBVA+fffZZWVIRoF27drz//vtMmjSJzz//vNLEooODA3PmzKnRysusrCzmzJmDjY0NK1asqFALcerUqWzZsoWNGzeyefNmhg4dWu2cly9fBqi0rmJ19u7dS2RkJLa2tsyfP78sqQjg6enJ7NmzGTRoUNnPzcqA//Goio2NDQsWLChLKgK4ubkxdepUpk2bxo4dO8oSi/po0qQJ48aN48svv2TBggW8+eabZecKCgr45ptvAJg8ebJR4hdCCHFvOx/7G7qiIrzad7rtGKUUAye/xuK/v8aG//uUZz+ZTeOmzeowyjsTPORxzkYc4MSuX+g8sPrXG1BcT3Ht5x+ScyGN0PET9d76XBlHT28yU5JqdK24P2VfSCPnYjpdDFwh3HnAEKI3rmHNZx8Q0K0nrR7ohUebdne0dVnTNA7+vISmzq60frBvjecRQoi6ZkiNxc+BjsBwIA8YA7wBnAeeMn5o4n6i0+mA4qYupTZt2gTAyJEjK73Gzc2Nli1bkpGRwdmzZ40e09tvv42trS3Lli3j8OHDVY7dvXs3ULxSr3S77a3Gjx+PUoq4uDhSU1MrnO/fv3+NV73t3LmTGzdu0KdPn9smAvv0Kd5KcfDgwRrdwxClz8XQoUOxt7evcH7gwIG4urqSm5tbtjLSGIKCgnBxcalwvHTLeFpamsFzTp06FShenVj6OwqwatUqLly4QN++fWnTRr9tM0IIIe5vSccOY2ZugXurqv/dsGzUmKF//Tv516+x/otPyL9+rY4ivHNuAa1xC2hN9Ka16HRF1Y7/Yz3FLoOG3dEbxY6e3mScT0a75d9sIaqSeKT4tag+9RVvZW5lxRPTZ+LTsQux+3ax4h8z+OqlP7Hjuy85H3uiRr+D52IiuZQQT7fHR8lqRSFEg2LIVuhBwNOapu1VShUB0ZqmLVNKpQMvAj/XSoQNVH2t/GuoMjIyAMolos6dOwfcPrF4q8uXLxMQEGDUmJycnPjrX//K+++/z1tvvcWWLVtuO7Y0WdiiRYtKz1tZWeHm5kZqaiqpqam4u7uXO+/tbXgHxlKlz9PGjRurfTFeuhKxOk5OTqSkpHDp0iWD46nuuYDi7tvp6emVJllrysvLq9LjdnbFdazy8vIMnrNNmzZlW7e3bNnC4MGDAcrqbk6ZMqWG0QohhLjfJB0/gnvrtnptt3Ty8uGRF19h05xZfDPleToNGEKXwcNq3FylLgUPeZx1//6ImE3raObqzo3c37nx+5Xiz7m/c73k67zc38lOT8PZ17+knqLhuyT+yNHLh8L8fK5cukhTF1cjPBpxr0s8GkNTF9ca/b44+/rz6CtvUJCfR8LhKE4f2MuJX3/hyNaN2Ng7END9QVr16IVry1bVvkYvXq24lCbNnWndK7SmD0cIIeqFIYnFpkDp3oIrgAMQBxwEvjVyXOI+omla2YrA9u3blx0vKip+p/vRRx8t2yp9O3+sf2csr7/+OmFhYWzdupVdu3aV22ZbmZq+y25tbV2j6+B/z1OrVq0qbTJyq27duuk1Z1BQECkpKURGRta4MYkxt6YD5VYMVubW1a7G9PLLL7N9+3bCwsIYPHgwJ06cYM+ePbi5uTF8+PBauacQQoh7y9WsTDLPJ9O2Tz+9r2ndsw/2ru5ErFlOxJrlRG9cQ4d+Awge+gS2DlW/LqpPfiHdaOriyu4fF5Q7bmpmhrVdE6xt7bC2tcOuhT+BPfsS8tgIg+sp3o6jZ/EbtZdTEiWxKKpVePMmySeO0S704Tuax9zSioDuDxLQ/UFu5t0gPvoQpw/s5ei2jcRsWkvjZvY0926Bg6c3jiUf9u4emFv+rxxQwpEoLp47yyMvvoKpHvXQhRDibmLIX614wBdIBmKB0UqpQ8ATQFYtxCbuExs3biQ7Oxtzc3P69u1bdtzT05PTp08zadIkHn300XqJzdbWlhkzZvDqq68yffp05s6dW+m40hWIpasH/ygvL69sK+4fVyveKU9PT6A4KXu75i6GGjZsGGvWrGHZsmXMmjXLoO7N1T0Xt5679bkorS959erVSq9JSqqfmklDhgyhRYsWbN68mcTExLLVihMnTtSrEY4QQgiRdPwIAN4Gdit29vVn2F//Tub5FCLX/czhrRs4sm0Tbfs8RMhjT9LMxa02wr0jJiamjPj7P8hKTcHazg5r2yY0srPD3Mra6G86/pGDZ/HuhczkJFqG9KjVe4mG7/yp3yi8mU+LToZtg66KhZU1rXv2oXXPPuRfv0ZcZDiJR2PIPJ9M8omjFBUWFg9UiqbNXUqSjV6ciz6EnZMzbXo/ZLRYhBCirhiyxGch0KHk608o3v58E5gFfGrcsMT9Ijs7m9deew2AcePGlasROGjQIKC4MUp9mjRpEj4+PkRERLBq1apKx5TWMFy6dCmFpS8YbvHDDz+gaRr+/v4GJxZLE26VzQvF9RnNzc3Zvn07OTk5Bs19O8888wze3t5cunSJadOq39a/d+/esq9Ln4v169eTnZ1dYezWrVtJT0/HxsaGoKD/vZArfV5OnarY9EjTtCq3otdEdc9rKRMTEyZPnoxOp2PWrFksWrQIc3NzJk6caNR4hBBC3LuSjx/B2q4JTl4+NbrewcOTgZNf48+zv6FD/wGc3LuT7199iQ2zP+NyUoJxgzWCps4u+HYJwdW/FU2dXbCwblTrSUUoTuo0ae7MZWng0mDoiopIO3MKTdPq/N6JR6IxNTPDs0376gfXgGWjxrTt049HX3mDcZ/9h1f+u5LnvpjP0L++RY8RT9O8hR/Z6akcWvszl5MT6T7iKVmtKIRokPROLGqa9oWmaXNKvv4VCKS4aUsnTdMqX8YlxG3odDrWrVtHSEgIcXFxBAYGMmvWrHJjJk6ciKenJz/88AMzZ87k+vXrFeZJSEhg0aJFtRqrhYUF77//PgCzZ8+udMzIkSPx9PQkISGBt956q9y23ZMnT/Lee+8B8Le//c3g+5cm3OLi4ipNgjk7OzNlyhRycnIYNmxYpYm5a9eusWTJEi5evKjXPS0sLFi2bBmWlpbMnj2bCRMmVFpvMTU1lalTp5bbEtyrVy9CQkLIzc1lypQp5Ofnlxv/6quvAsWNUW7tCB0aGoqJiQlbtmxh//79ZceLioqYMWMGhw4d0it2fVX3vN7qz3/+M40aNSIsLIzc3FyGDx+Oq6tssRJCCFE9TdNIOnEUr3YdUXdYtqNJc2f6PT+JF+Z+R/CwJ0g4HMl/33yZfT/9aKRoGz5HLx/pDH0bv1++xJFtm+oliVeZzPMpLH3nbyx952/EbFpb5/dPPBqDR5v2mN/yerQ2mZiaYu/mQUC3njwwcgxDX5vOc//+klf+u5IJ//mWdn3vbEu2EELUlxq/JaJpWjLF26KFqNInn3xStkU3Ly+Py5cvExMTU7a6bvjw4Xz11Vc0a9as3HU2NjZs3LiRIUOG8P777/Of//yHDh064ObmRm5uLrGxscTFxdGtWzfGjh1bq49h7NixzJo1ixMnTlR63srKiuXLlzNo0CA+//xzVq9eTUhICFlZWezcuZOCggKeffbZGq1y8/b2pnPnzhw+fJgOHToQFBSEpaUlrVq14o033gDgs88+Iy0tjeXLl9OuXTs6deqEr68vSikSExM5evQo+fn5xMbG4uzsrNd9u3Xrxs6dOxk1ahQLFizghx9+ICQkBC8vLwoLC4mPj+fo0aNomlahtuOSJUsIDQ1l6dKl7Nq1i169enH9+nV27tzJtWvX6NevHzNnzix3jZeXF5MmTWLevHmEhobSq1cv7OzsiImJITs7m1deeYU5c+YY/Pzdjj7Pa6lmzZoxduxYvv76a0CatgghhNBf5vlkrmVn4d2hk9HmbNy0Gb3HjKfrsCc5snUDrgGBRpu7oXP09OZcTCSFBQWYmZvXdzh3lYjVyzm2YwserduW1aOsDzpdETEb17Jv2Y+YW1nj6t+KvUt/wKdjEA4ennUSw+8Zl8g8n3zH9RWNwczcnCbNXeo7DCGEqLFqE4tKqSf0mUjTtMr3iIr73tatW4HiZh6NGzemadOmBAUF0bVrV8aMGUO7du1ue2379u05duwYYWFhrF27lpiYGA4cOICTkxOenp48/fTTPPnkk7X+GExMTPj4448ZOnTobcd0796dI0eO8Mknn7BlyxZWrVqFtbU1PXr0YOLEiYwZM6bG24BWrVrFtGnT2L17N0uXLqWoqIg+ffqUJcDMzc1ZtmwZY8eOZcGCBRw6dIhjx45ha2uLq6srTz/9NI899hh+fn4G3bdHjx6cPXuWhQsXsm7dOo4ePUp0dDSmpqa4u7szZswYRo8eXaEGpr+/P4cPH+azzz5j7dq1rF27FnNzc9q2bcu4ceOYOHEi5pW82J8zZw5eXl5899137Nu3Dzs7O0JDQ/nnP//JgQMHavTcVaW65/VWDz/8MF9//TVt27Yt2+4thBBCVCfpWEl9xfbGSyyWsrKxofuI0UaftyFz9PRG0+nITjuPk3eL+g7nrqHpdMRHRwBwLiay3hKL2RfS2BL2f6SdPolfcHcefqH4zdqFf5vC5nn/Zsw/P8fE1LTW40g8EgNg1PqKQghxv1LVLYVXSumA0kG3y4pomqbV/r8AdSA4OFiLiorSa2xsbCytW7eu5YiEEHeDxx9/nDVr1hAWFsakSZNq5R7yN0UIIe49qz6ZSc6FdJ7/v6/qO5T7QkZyIj+8MZXBU1+nda/Q+g7nrpF+9jRL3n4dpUxwa9Wa0e/XbYl8TafjyC+b2LP4e0xNzXjouRdp3Su07E33M+H7WP/FJzww6hl6jHi61uNZ+/mHXDwXxwvzvquT+p9CCNHQKaWiNU0LruycPoVe0oEU4APAR9M0k0o+7omkohBCVCY6Opp169bh4ODAuHHj6jscIYQQDURRYQHnT57AqxZWK4rKNXNzx8TUjAyps1hOXORBlIkJHR4eRNqZWG5cza2ze/9++RI/f/g2v343H4/Atvzp83m06f1QuYReQPcHCezZh/CVP3HxXFytxlNUWEjyiSP4dOoiSUUhhDACfRKLnsAUoCNwSim1TSk1SillUbuhCSFE/ZowYQKjR48mNDQUnU7HBx98QOPGjes7LCGEEA1E+pnTFOTnGbW+oqiaqZk59m7uklj8g7ioCDzbtKNNr1A0nY7EozG1fk9N0zj+6zZ+eGMK6XFneXjiVJ54631sHRwrHd/v+Uk0smvC5nn/prCgoNbiSj9zips3bsg2aCGEMJJqE4uapuk0TduoadoTgA+wDXgPSFNKzVZKSVVkIcQ9acGCBaxYsQJHR0dmzZrF5MmT6zskIYQQDUjSiSMoZYJX2w71Hcp9xdHLRxKLt8hKSyUrNQW/4B64+LfE2taOhJjIWr3nzRvXWf/Fx2z7ag7NW/jxp1n/oUO/gVWuELSyseGRF18h83wyB5YvqrXYEo5GY2Jqile7jrV2DyGEuJ8Y1BVa07RLwOdKqXXAfGAq8D6QVQuxCSFEvaquBq0QQghRlaRjh3Hxb4llI1ntXpccPb05tX83+devY9moUX2HU+/io8IB8A/uhomJKS06B3MuJhJdUVGtNErJTk9l7ecfkpV6nt7PPEfwkMdRJvpslIMWnYPp0G8gketX4RfUDffANkaPL+FING4BreW/SyGEMBL9/sIDSqlGSqnnlFL7gBggFeinaZokFYUQQgghhLhF3rWrXIg7i3eHzvUdyn3H0au443HmeVm1CMXboJ18fLFzag6Ab5cQ8q7mknb2lNHvdS4mksV//yvXruQwYsYHhAwboXdSsVSfZ5+niVNztoR9QUFenlHjy7l4gcuJ5/Dp2MWo8wohxP2s2hWLSqmewPPASCAW+B4YrGna77UcmxBCCCGEEA1SysnjaJoO73ZSX7GuOXoWJxYzUpJwC2hdLzEkHT/CtZxs2tRzZ+rrV3JIOxNbrtOyd4fOmJiakhATiUdgW6PcR9PpiFi9nP0rFuPk3YLHXp9Bk+bONZrLwroRAye9xrIP3mL34u/p/+dJBsVxNTuLnIvp5FxM58rFC+RcSCfn4gWuXEwn79pVoHhlpBBCCOPQZyv0XiAZ+DdwrORY/z/Wx9A0bZVxQxNCCCGEEKJhSjp2BHNLK1wDWtV3KPcdO8fmmFtZk5FcfysWd//3W65mZ9V7YjE++hBoGv4h3cuOWTW2wT2wLediIuk1Zvwd3+Pmjetsnvdv4iLDaf1gXx6eOBVzS6s7mtOjTTuCBj9G9MY1+Id0x6eKlb83cn/nTPh+Th/YQ/rZ0xQW3Cw7p0xMsHNqTlNnV1z8etGkuQtO3i1o7uN7R/EJIYT4H31rLHoB71ZxXgOMX6BDCCGEEEKIBij5+BE827bH1Ez6HNY1ZWKCo4dXvTVwuXLpApeTE4HiFYONmjStlzgA4qLCsXNqjpN3i3LHfTsHs3vRd/x++VLZFumayEo7z9rPPyQ7PZW+416gy+BhVTZoMcSDo8eRcCSarfNn86dZc7FqbFN2Lv/6deKjwjm1fzdJx4+gKyqimZsHHR8ZRFMXd5o6u9DU2RVbRydMzQxqKyCEEMJA1f6V1TTNsKIYQgghhBBC3Md+z7hEdnoqHR8eXN+h3LccvbyJiwxH0zSjJbr0FR8VUfZ1RkoyXvWUWCzIyyP52BHa9x9Q4TnwDerK7kXfcS4mkk4DHq3R/PHRh9j0n88xNTPjyRn/xKudcbufm1lYMGjKX1ny9uvsXPg1/V+YQsLhKE7t301CTBSFBTexdXQi6NHhBPbsg5N3izr/WQshhDCwK7QQQgghhBCiaknHjgDg3UHqK9YXR09vjv+6jetXcmjctFmd3js+OoLGTZtxLSebjJQkoyfc9JV4LIbCgpv4B3evcK6ZqztNnV05d7hmicXI9avYs+g7mrfw47HXZ9zRqsequPi1pNvjTxG+cilnIw5QkJ9HoyZNad9vAK0e6I1by1YGN4cRQghhXAYlFpVSg4CpgC/wiKZpKUqpCUCCpmk7aiNAIYQQQgghGpKk40do3MweBw+v+g7lvuVQ2sAlOalOE4t5V6+ScvIEIUOf4Nj2LfXamTo+KgLLxo1xr6RBi1IK3y4hHN2+mYK8PMyt9K+JmH0hjb1LFuIf0p3Br7yBuYWlMcOuoPsTT5FzIQ0zCwsCH+iDZ9v2mJhKFS4hhLhb6P32jlLqGWA5cAbwAUoLxpgCbxo9MiGEEEIIIRoYTacj+fgRvNt1lG2Z9cjJywegzussJhyORNPp8AvujoOnF5nnk+v0/qV0RUXEx0Ti26XrbWsMtugSQlFBAcm/HTVo7ohVyzA1NaPfnyfXelIRwNTMjEdfeYMBL/0F7w6dJKkohBB3GUPWjb8JvKBp2mtA4S3HwwHZ5yGEEEIIIe57l5MTuZH7O95VdLEVta9Rk6ZY2zUhIyWxTu8bF1W8DdrVPwAHDy8yU5LRNK1OYwBIPX2SvNzf8Q/udtsxHq3bYW5lzbmYSL3nzU5P5eSenXR8ZBA2zeyNEaoQQogGzpDEYkvgYCXHrwJ2xglHCCGEEELcy86E7yNm09r6DqPWJB07DIBXu471HIlw8vKu0xWLhQUFJByJxjeoa3Fnak9v8q5d5Vp2Vp3FUCo+KhxTMzN8Ona57Rgzc3N8OnTm3OEovZOf4auWYWpuTsiwJ40VqhBCiAbOkMRiGhBQyfHeQLxxwhH3qm3btvHcc8/RqlUrmjRpgoWFBU5OTvTs2ZM33niDQ4cOVXqdj48PSikSExPrNuA6lJ+fz9dff82QIUPw8PDAysqKxo0b07JlS8aMGcPq1avR6XT1HaYQQghhFOdiIolYs6JeVnHVNk3TOHc4EgcPL2zsHeo7nPueg6d38YrBOnodlfLbMQrybpQ1S3HwKKnzWMfboTVNIy4yHK/2nbCwblTl2BZdgrmamcHlpIRq581OTyV27y46PjyozhviCCGEuHsZklj8GpijlOpZ8r2nUupPwGfAl0aPTNwTLl68SGhoKAMGDGDhwoUUFRXRt29fRo4cSVBQEHFxcXz++ed069aNZ599tr7DrXOHDh0iICCAF198ka1bt+Lh4cFjjz3GwIEDadSoEUuXLuWJJ56gW7fbb2O5W+3atQulFH379q3vUIQQQtxFXPwCuH4lh9yMy/UdilFpmsau/37L+ZMnaNP7ofoORwCOnj4U5Odx5fKlOrlffFQ45pZWZatVHT2Lm/dkptRtYjEjJYkrly5W2g36j3w7hwDotR06fOVPJasVR9xxjEIIIe4deneF1jTtM6VUE+AXwArYCeQDn2uaNq+W4hMNWFZWFg888ADnzp2jZ8+ezJ07l06dypfj1DSNAwcO8OmnnxIbG1tPkdaPqKgo+vTpQ15eHs8//zwff/wxzZs3LzcmOTmZjz76iOXLl9dTlEIIIYRxufgXb4BJjzuDnVPzakY3DKVJxZhNa+kyaJgkXu4SjmWdoRNp6uxSq/fSNI34qAh8OnbBzMICKKnzaGtX552h4yPDAfAN6lrt2MZNm+Hs25JzhyPp/sRTtx2XlZZK7L7ddHn0MVmtKIQQohxDViyiadoMwBHoCnQHnDRNe6c2AhMN3+TJk8uSir/++muFpCKAUoqePXuybt06wsLC6iHK+lFQUMCoUaPIy8vjlVdeYcGCBRWSigBeXl7Mnz+fNWvW1EOUQgghhPE5eftgambGhfgz9R2KUWiaxu4fi5OKnQcNpe+fXpBu0HeJ0hWDdVFn8eK5OK5mZ+H3h2Ypjp51W+cRIC4qHNeWrfRuruLbJYT0s6e5/vuV244JX1WyWnHoE8YKUwghxD1C78SiUuo7pZStpmnXNU2L0jTtkKZpV5VSjZVS39VmkKLhOXv2LCtWrADgyy+/xKLknduqdO1a/buqt9I0jZ9++olHHnkER0dHLC0t8fLy4oUXXqi0JuOtW3MLCgr48MMPCQwMxMrKiubNmzN27FiSkytuVanpdVVZvHgxCQkJNG/enM8++6za8b17965wLCMjg2nTphEYGIi1tTV2dnZ0796dsLAwCgsLK4yfOXMmSilmzpxZ6T0WLlyIUorx48ff9nhubi5vvPEGLVq0wNLSEnd3dyZNmkRWVvmi5H379iU0NBSA3bt3o5Qq++jbty+aptGyZUuUUoSHh9/2cY8YMQKl1H2VdBZCiHudqZk5Tj6+90RisTipuIDojcVJxdA/TZSk4l3EwroRdk7OdZLYi48KRykTWnQOLnfcwdOLzPMpdVZTNDczg4vn4vDTYxt0Kd8uIaBpJByOqvR8Vtp5Tu3bTacBj8pqRSGEEBXovRUa+BMwHcj9w3FrYBzwvLGCEg3fxo0b0el0dOzYkfbt2xt9/oKCAkaPHs2qVauwtrYmODgYZ2dnTpw4wbfffsvKlSvZtm0bwcHBlV47aNAgIiIi6NOnD61bt+bgwYMsXryYPXv2cOzYMZo2bWq06yqzdm1xN8ynnnoKS0tLgx9/XFwcDz30ECkpKbi4uDB06FCuX7/Ozp07mTJlCqtXr2bDhg01mvt2rly5Qs+ePUlNTaV37960a9eOffv2MX/+fA4dOkR4eDjm5uYADBw4ECsrK7Zu3YqzszMDBw4smycwMBClFFOmTOG1114jLCyM7t0rvvhNTU1l3bp12Nra3pf1N4UQ4l7m4hfAb7u2o9MVYWJiWqv3Sj97mrORBynMz6fwZj4FJZ8Lb94s97W5lRVdBg6l1QO9MTGtPqb/JRXX0HmgJBXvVo5e3mQkJ9b6feKiInAPbEMjuybljjt4eHPzxnVyMzOwc3Sq9TjioyIA9KqvWMq5hR+Nmzbj3OEo2vbpV+F8+MqfMLWQ1YpCCCEqV+2KRaWUvVLKAVBAs5LvSz+cgCHAxdoOVDQs0dHRAJUm9ozhnXfeYdWqVfTu3ZszZ86wZ88eVqxYQWxsLP/5z3/Izs5m9OjRla7cO3DgAFeuXCE+Pp4NGzawevVqTp8+TZcuXUhJSWHevMpLhtb0usqUPj8hISE1evxjxowhJSWFkSNHkpCQwPLly9mwYQOnTp0iICCA7du333ZlYk2tWbMGT09PkpKSWL16NevXr+e3337D09OTmJiYcnUgp0+fzvTp04HiROLChQvLPkqPP/fcczRu3JgVK1aQmZlZ4X5fffUVhYWFjBs3DltbW6M+FiGEEPXL1T+Agvw8slLP1+p9bt64zqpPZhK9YTUn9/5KwuEoLsSfIefiBfKvXcPE1JTGTZvh4O5JQV4em+b+i+//+hIndv5CUSWvIUppmsbuRd8RvXENnQYMIXS8JBXvVo6e3mSnp1JUWFBr97hy6QIZyYkVtkEDOHqUNHCpo87QcVHhNHN1x97dQ+9rlIkJLTqHkHgkusLvfWZqCqf276HTI4/SqIl+b6ALIYS4v+izYjED0Eo+TlZyXgPeM2ZQ94ILH31Efuyp+g7DIJatA3H5+9+NMldGRgYATk6VvzO7bds2lixZUuH4zJkz8fHxqXLurKws5syZg42NDStWrKhQm3Dq1Kls2bKFjRs3snnzZoYOHVruvFKK7777rtx1TZo0Ydq0aTz11FPs2LGDGTNmVLhvTa+rzOXLxZ0wK6urWJ29e/cSGRmJra0t8+fPx8rKquycp6cns2fPZtCgQcybN4/33nuv3Pk7YWNjw4IFC7CxsSk75ubmxtSpU5k2bRo7duzgmWee0Xu+Jk2aMG7cOL788ksWLFjAm2++WXauoKCAb775Biiu1SmEEOLe4uzXEoALcWfKGmzUhsNbN5J3NZdnPvoCl5J73o6m0xEXFU74ymVsnT+bgyt/outjT9K2b3/MSlbkQ3FScc/i74nesJpOAx7loedelKTiXczRywddURFZaak4efnUyj3iIm+/StDhljqPLToF1cr9S+Vfv0bKb8fpMniYwb+Tvl2CObFzG2mnT+LZtkPZ8bLVitKQSAghxG3oU2MxFOhH8YrFJ4GHbvl4EPDSNO3DWotQ3JNO4gVx3AAAIABJREFUnjzJDz/8UOGjNCFZlZ07d3Ljxg369Olz28Rcnz59ADh48GCFc15eXpVuzw4MDAQgLS2t0jlrep2x7d69G4ChQ4dib1+xKPfAgQNxdXUlNze3bGWkMQQFBeHiUrGj4p08/qlTpwLFqxN1Ol3Z8VWrVnHhwgX69u1LmzZtahixEEKIu5W9qzsW1o1qtc7izbwbRG1YTYvOwdUmFaF41VbLrg8w9pP/4/Fp79GoSRO2fzuPBX95gcNb1lNwM78sqRi1flVJUvElSSre5co6Q9dincX46AgcPLxo6uJa4Zy1rR2NmzYjM6X2VywmHI5CV1SIf0gPg6/1bt8JUzMz4mMiy45lpqZw6sAeOg8YUmGLtxBCCFGq2hWLmqbtBlBKtQCStbqqPNzAGWvlX0Pl6OgI/G9l3h+9+uqrvPrqq2Xf+/j4kJSk3wu+c+fOAcV1HKt7MV/Z/b28vCoda2dnB0BeXl6l52t6XWWcnJxISUnh0qVLel9TKjU1FYAWLVrcdoyvry/p6ellY43BmI+/VJs2bejfvz/bt29ny5YtDB48GKCsWcuUKVNqGK0QQoi7mTIxwcWvJelxtZdYPLJ1I3m5v9NjxNMGXaeUwrdLCC06B5N07DDhq37i1++/ImL1clxbBhIXeZCOj0hSsaGwd3PHxNS0uM5izz5Gn//G1VzOx56ockWfg4cXmedrv4FMXGQ4jZo0xbVlgMHXWlg3wqNNexJiIun77J+B4tWK5haWBEttRSGEEFUwpHmLD+ACRAAopcYDE4DfgNc1Tbtq7OBEw9WlSxcWLVpEVFTl3eXuRFFREQCtWrWqtOnHrbp1q1jrxsRE72boRrmuMkFBQaSkpBAZGVnjxiTG/p+ZW1cMVsaYj/9WL7/8Mtu3bycsLIzBgwdz4sQJ9uzZg5ubG8OHD6+VewohhKh/Ln4tidqwmsKbNzGzsDDq3AV5eURtWI1Pxy64tmxVozmUUvh07IJ3h86cP3mcgyt/Kk4qPjyYfs9LUrGhMDUzp5mre62tWEw4HIWm01XZLMXB04sTv/6CptOhaun1VFFhAQlHogno/mCNGyL5dglh58Kvyb6Qhq6wiFMH9hAybISsVhRCCFElQxKL/wfMBFBKtQK+AhZQvB16FjDJ2MGJhuvRRx/l9ddf5+jRo5w4cYJ27doZbW5PT08A2rdvz8KFC402b10aNmwYa9asYdmyZcyaNcug7s3u7u7A/1ZuVqb0XOlYAIuS/2m7erXy9wD0XTFqbEOGDKFFixZs3ryZxMTEstWKEydOxMzMkD9RQgghGhIX/wB0RUVcSjyHW0CgUec++ssmbvx+he4GrlasjFIKz7Yd8GzbgdzMDGzsHSSp2MA4evmQfvZ0rcwdHxlO42b2VW63d/T0piA/j98zLtGkecWyMsaQ8ttxbt64jn+I/t2g/8i3c3FiMSEmkrSzp4tXKw553IhRCiGEuBcZ8paZP3C85OsRwC+apk0GXgCG3vYqcV8KCAjgySefBOCll17i5s2bRpu7f//+mJubs337dnJycow2b1165pln8Pb25tKlS0ybNq3a8Xv37i37urR+5Pr168nOzq4wduvWraSnp2NjY0NQ0P+KhJcmGU+dqthUSNM0tmzZYvDjqEppIrOyzty3MjExYfLkyeh0OmbNmsWiRYswNzdn4sSJRo1HCCHE3cXFv3i7prHrLBbk5xG5fhVe7Tvh3qq1Uee2dXCUpGID5Ojpze+XL3LzxnWjzltYUEDC0Rj8unStciWig0dpncfaq7N49tABzCwt8WrfscZzNHVxxd7NgyO/bOb0wb10Hii1FYUQQlTPkMSiDihdV98PKM1CXAAcjBmUuDeEhYXh4+PD/v376devH0eOHKl03PHjx/n999/1ntfZ2ZkpU6aQk5PDsGHDKk2UXbt2jSVLlnDx4sUax1+bLCwsWLZsGZaWlsyePZsJEyZUWm8xNTWVqVOnltsS3KtXL0JCQsjNzWXKlCnk5+eXG19au3Lq1KnlOkKHhoZiYmLCli1b2L9/f9nxoqIiZsyYwaFDh4z6GEsTmXFxcdUmF//85z/TqFEjwsLCyM3NZfjw4bi6ViyALoQQ4t5ha++ITTN7LsSfNeq8x7Zv5fqVHHqMGG3UeUXD5VjSDdrYib2UE0cpyLuBX0jF0ju3cvAo3m2Teb52Eovx0Yc4vmMbrbr3wtxC/10wlfEN6kp22nnMLa0IktWKQggh9GDIPsNI4B2l1C9AL6B0OZEPkG7kuMQ9wNHRkQMHDjBq1Cj27dtH586d8ff3p23bttja2nL16lViY2M5fbp4a8pDDz2Et7e3XnN/9tlnpKWlsXz5ctq1a0enTp3w9fVFKUViYiJHjx4lPz+f2NhYnJ2da/Nh1li3bt3YuXMno0aNYsGCBfzwww+EhITg5eVFYWEh8fHxHD16FE3TKtSSXLJkCaGhoSxdupRdu3bRq1cvrl+/zs6dO7l27Rr9+vVj5syZ5a7x8vJi0qRJzJs3j9DQUHr16oWdnR0xMTFkZ2fzyiuvMGfOHKM9Pm9vbzp37szhw4fp0KEDQUFBWFpa0qpVK954441yY5s1a8bYsWP5+uuvAWnaIoQQ9wtnvwAuGLGBS8HNfCLX/Yxn2w54tDZeGRbRsN3aGdqY2+7joyMwt7TCq23VqwStGttgY+9AZi3Uebx4Lo4Nsz+leQtfHnr+xTuez7dLCFHrV8lqRSGEEHozZMXiq0AnYC7woaZp8SXHRwIHjR2YuDe4urqyd+9eNm3axLhx4wDYsWMHy5YtY9++fTRr1ozXXnuNiIgIduzYgZOTk17zmpubs2zZMtatW8eQIUNIS0tjzZo1bN++nWvXrvH000+zevVq/Pz8avPh3bEePXpw9uxZvvzySx5++GGSkpJYvXo1mzZt4urVq4wZM4b169dz4MCBctf5+/tz+PBh3njjDWxtbVm7di27du2ibdu2zJ07l82bN1dat3HOnDl8+umn+Pr6sm/fPvbt20e3bt2Iioqic+fORn98q1atYtSoUWRlZbF06VIWLFjAxo0bKx378MMPA9C2bduy7d5CCCHuba7+AWSnp5J3zTg9AI/v2Mq1nGx6PHnntRXFvaOJU3PMLa3ISEk02pyaTkd8VAQ+Hbvo1XzI0dPb6Csmr1y6yOpP36eRXRMen/YeFlbWdzynR+t2DP3rW3SXFb9CCCH0pDRNu7MJlLICijRNKzBOSPUrODhY07eTcWxsLK1bG7d2jxD3q8cff5w1a9YQFhbGpEn3Zy8o+ZsihLjfJB07ws8fvs2TM/6Jd4dOdzRX4c2bLHhlAk1d3Hhq5idGilDcKxbP+CsWVlaMfOcjo8x3Ie4Mi2f8lYGTX6Ntn37Vjt/13285um0TL/93RY27Nt8q7+pVlr77Bteys3j6H7Nw8PC64zmFEEKI21FKRWuaFlzZOUNWLFZK07S8eyWpKISoH9HR0axbtw4HB4eyla1CCCHufc5+/oBxGrgc37mNq9lZslpRVMrR04fzsSdZ/3+fErtv1x2vko2LikCZmODbJUSv8Q6eXhQW3OTKpTuv/11YUMC6f31IzoV0HvvbDEkqCiGEqFeG1FhEKfUc8DTgBZRb869pmq8R4xJC3AcmTJjA1atX2bRpEzqdjg8++IDGjRvXd1hCCCHqiFVjG5q5upN+h3UWCwsKOLT2Z9xatcGzbQcjRSfuJV2HP4lSxY1Ozhzci4mpKR5t2uMf3A2/4G7YOTY3aL74qHDcA9tgbWun13jHks7QmSnJNHNxMzj+UpqmsW3+bFJOHmfw1Nfl910IIUS90zuxqJR6A3gL+AroDYQB/iVff14r0Qkh7mkLFizAxMQEb29v3n33XSZPnlzfIQkhhKhjLv4BpJw4ekdz/LbrF65mZjDgpb+glDJSZOJe0szFjUdefAVNpyM97jRxURHER4bz6/df8ev3X9Hcxw+/4G74BXXFybsFJqa3366cc/ECGSlJ9B03Qe/7l3aGzkhJwj+kezWjb2//skXE7tvFg6PH0bpXaI3nEUIIIYzFkBWLLwATNU37WSk1FZirado5pdQ7gH6tfIUQ4hZ3WuNVCCFEw+fi15LYvTvJzcrA1t7R4OuLCguIWLMC14BAvNvfWZ1Gce9TJia4BbTGLaA1vceMJystlfiocOKiIji4cikHf16Cqbk5jp7eOHm3wMm7Bc29fXH09sGqsQ0A8VERAPgFddP7vhbWjbBzak7m+Zo3cDm2YwsRq5fR/qFH6Dp8ZI3nEUIIIYzJkMSiB3Co5OsbQOm6/6Ulx18wYlxCCCGEEOI+4OIXABQ3w7Dtanhi8bddO8jNuMzDL0yV1YrCYPZu7tgPG0HIsBFcv5JD0rHDXEw8x+WkBOKjD3Fi5y9lY+2cmuPk7UtWajIOHl40dXE16F4OHl5kpiTVKM6EI9Fs/zYMn05B9PvzZPldF0IIcdcwJLF4AXAEkoEkoAdwhOLt0LLsSAghhBBCGKy5jy8mpqZciD9Ly64PGHRtUWEhEWuW4+IfgE/HLrUUobhfNGrSlNa9Qsu2GGuaxrXsLC4nJXApKYHLJR85Fy7w4NOGN5tz8PAi+fgRdEVFVW61/qNLiedY/8UnOHr5MPTVaZiaGVQmXwghhKhVhvyr9CswDIgBFgBfKKVGAV2A5bUQmxBCCCGEuMeZWVjg5N2CCzVo4HJyz6/8fvkS/Z6fJCu4hNEppbCxd8DG3oEWnYPLjhuaGCzl6OlNUWEh2RfScHD31Ouagrw8Vn/6PpaNG/PEtPewsG5k8H2FEEKI2mRIYnEiYAKgadp8pVQ20BNYSXFDFyGEEEIIIQzm4teS2H270XQ6lImJXtfoioqIWLMcZ9+W5ZI+QtS2miQVoTixCJB5PlnvxOKpg3u4mpXJqHc/wsbeoUb3FUIIIWpTta/clFK7lVLvAg8AZW8Fa5q2TNO0VzRNm6tpWkFtBimEEEIIIe5dLn4B3Lxxnaz0VL2vOXVgD1cuXqD7E0/JakXRINi7e4BSZKbo38Dl+Pat2Lt74tGmfS1GJoQQQtScPm8Jp1C8WnEPkK2U2qaUeksp1VUppd9bykIIIYQQQtyGi39xA5eL8Wf1Gq/pdBxaswJHT2/8grrWZmhCGI25pRVNm7uQoWdn6EuJ50iPO02HfgMleS6EEOKuVW1iUNO0sZqmeQCtgNeBTOAVIJziROMGpdRrtRumEEIIIYS4V9m7e2BuaUW6nnUW46IjyDyfTNfhI/XeOi3E3cDBU//O0Md/3YqpuTlteofWclRCCCFEzen9SkzTtLOapn2ladrTmqa5Am2AOUAv4PPaClAIIYQQQtzbTExMcfbz50J89YlFTdM4tHo5TZxdaNWjVx1EJ4TxOHh4kZ2eSlFh1ZWkCvLzOLlnJwHdemJta1dH0QkhhBCGM+gtXqWUk1JqpFIqDFgFTANOAp/VRnBCCCGEEOL+4OIXwOXEc9UmXJKPH+VC/Fm6Dnuyxk00hKgvjh5e6IqKyE5Pq3Lc6QN7uXnjOh36D6yjyIQQQoia0ad5yxNKqTlKqRMU11t8Fcgu+dxM07Qemqa9VctxCiGEEEKIe5iLXwBFhYVcTkqsclzEmuU0bmZPmz796iYwIYzI4ZbO0FU5tmML9m4euAe2rYuwhBBCiBrTZ8Xiz8Aw4D8UJxJ7apo2Q9O0bZqmXavd8ERD5uPjg1KKXbt21XcotUKn07F06VJGjhyJj48PjRo1wtraGh8fH5544gl+/PFH8vPz6ztMIYQQokFwLWngcqGKOotpZ2JJ+e0YwUMex8zcvK5CE8Jo7N08UMqEjCo6Q19OSiD97Gk69JemLUIIIe5++iQW3wXigC+AU0qp/yqlnldK+dZuaELcvc6ePUunTp0YM2YMK1euxN7ensGDBzN06FCaN2/OunXrGDduHAEBAVy/fr2+wzVIYmIiSil8fHzqOxQhhBD3EVtHJxo1acqFKjpDR6xZgZWNrWwPFQ2WmYUFTV1cq2zgcmzHVkzNzGjT+6E6jEwIIYSoGbPqBmia9k/gn0opC6AH0BcYB8xTSl0CdgM7NU37vjYDFeJukZiYyAMPPEBGRgZDhgxhzpw5tGjRotyYy5cv88UXX/Cvf/2Lmzdv0qhRo3qKVgghhGgYlFK4+LW8bQOXy8mJnIs+xAMjn8HCyrqOoxPCeBw8vMi4zVbogvw8YvfupKU0bRFCCNFAGNIV+qamabs1TXtf07S+gCvwX+Ax4Ntaik+Iu87YsWPJyMhg+PDhrF27tkJSEcDJyYmPPvqIffv2YWlpWQ9RCiGEEA2Pi18Amakp3LxRcbX/oTUrMLeyptPAIfUQmRDG4+jlTc6FNAoLKjYqOhO+n/zr1+jYf1A9RCaEEEIYTu/EolLKTCn1oFLqHaXUr0AaMAPIAAxeraiUGqOU2quUuqKUuqqUilJKTVFKGdSp+pb5TJVSLyml9iilMpVSeUqpFKXUeqXU0JrMKWrH+PHjUUqxcOFC4uLiGDNmDM7OzlhaWhIYGMinn36KTqcrd02/fv1QSvHTTz/ddt7XX38dpRRvvvlmueMFBQXMnTuXbt26YWdnh7W1Na1bt2b69OlkZmYaFPuuXbvYv38/FhYWfPnll5iYVP3rGhISgrV1+VUV165d48MPP6Rjx440btyYxo0b06lTJz766KNKt00vXLgQpRTjx4+/bUxKKfr27Xvb4wUFBXz44YcEBgZiZWVF8+bNGTt2LMnJ5d8tHz9+fFmiNCkpCaVU2Ufp1ug7+VkIIYQQVXHxDwBN4+K5uHLHcy6kc/rAXjo+PAhrG9t6ik4I43Dw8ELT6chOO1/h3LHtW2jm5oF7a2naIoQQomHQpyv035VS24AcYA8wAUgGJgE+mqb5aZo2wZCbKqXmAYuBYGAv8AsQAMwFfjY0uaiUcgAOAl8CbUu+XktxF+v+FK+qFHeZI0eOEBQUREREBKGhofTs2ZP4+HimT5/OX/7yl3JjX375ZQDCwsIqnevGjRt8//33mJiYMGnSpLLjeXl5PPLII7z88sucOHGC3r17M3ToUHJycvj0008JCgri3Llzese8du1aAAYMGICLi4uhD5mMjAx69OjB22+/TUpKCgMGDGDAgAEkJSUxY8YMHnjgAbKysgyetyoFBQUMGjSITz75BH9/fwYNGoSJiQmLFy/mwQcfJCcnp2zsgw8+yIgRIwBo3Lgxf/rTn8o+nnzySaDmPwshhBCiOi5+LQFI/0MDl8h1KzExNSHo0eH1EZYQRuXo4QVAxh/qLGYkJ5J2JpYO/QZI0xYhhBANRrU1FoGpwE7gVYprKcbfyQ2VUiOAycAFoLemaWdLjjuX3Odx4GVgtp7zmQDrgJCSa6ZrmpZ3y3lbwOdOYha1Y/bs2bz33nu8++67ZSv/9uzZQ2hoKGFhYbz55pt4enoCMHToULy9vdm7dy8nTpygXbt25eZaunQp2dnZPProo+W2Jr/77rvs2rWLwMBAtm/fjru7O1Cc/Hr22WdZuXIlzzzzDAcPHtQr5ujoaKB4JWJNTJ48mePHj9OrVy/WrVtH06ZNAcjOzmbIkCEcOHCAKVOmsHTp0hrNX5kDBw4QHBxMfHw8zZs3B+DKlSs89NBDxMTEMG/ePGbMmAHAhAkT6N+/PytXrsTR0ZGFCxdWmK+mPwshhBCiOta2djRxdilXZzE3K4Pfdm+nXejD2DSzr8fohDCOZm7umJiakvmHOovStEUIIURDpE/zFjcApZQXxSsAy1HFb6d5appWeQXiit4q+TytNKlYcp+LSqlJwC5gulLqP5qm6Sqb4A9eAB4ANmia9mol8ecCx/WMzWj2Lj9DRsrVur7tHXH0tKHXqIA6u19ISAjvvfdeuXdke/fuzYABA9i8eTM7d+5k3LhxAJiamjJ58mSmTZtGWFhYhdVypd9Pnjy57NiNGzf48ssvAZgzZ05ZUhHA2tqa+fPns3XrVsLDw9m/fz89e/asNubLly8DlCXoDJGUlMTPP/+MiYkJ33zzTVlSEaBZs2Z88803tG/fnuXLl/PZZ5+VJVXvlFKK7777rlzMTZo0Ydq0aTz11FPs2LGjLLGoj5r8LIQQQgh9ufgFkHY6tuz76A1r0Ol0BA8dUY9RCWE8pmbmNHN1JyPlf//7VJCfx8m9v9KyW08a2TWpx+iEEEIIwxiy5TgBcKrkuH3JuWoppTyAIOAmsOKP5zVN2w2kAi5Adz3jmlry+d96jhd3icGDB1e6zSMwMBCAtLS0cscnTJiAtbU1ixYtIjc3t+x4REQE0dHR+Pr6MnDgwLLj0dHRXL16FTc3Nx5++OEK93F0dGTo0OLym7t27TLGQ6rS3r170TSN7t2706pVqwrn27RpQ7du3dDpdOzZs8do9/Xy8qJ9+/YVjt/uedaHoT8LIYQQQl+u/gHkZl7mWk42N3J/5+j2zQT27ENTZ8NLkAhxt3Lw8CLz/P+2Qp8J30/+tWt06C+vn4QQQjQs+myFLqUArZLjNkBeJccr07nk82+apt24zZhIwL1k7IEqA1LKFWgHFAEHlVIBwFOAB5AF7Aa2appWWdy1qi5X/jVUXl5elR63s7MDiusj3sre3p5nnnmGb7/9lh9//LFsRVzpCrlJkyaVa6aSmpoKUOV2XF9f33Jjq+Pk5MSpU6e4dOmSXuNvpW88Bw8e1DsefRj6POvD0J+FEEIIoS/nkjqLF+LPcCE+jsL8fLo+9mQ9RyWEcTl4eHEmYj8F+XmYW1pxbMdWmrm649G6XfUXCyGEEHcRfZq3zFFKzaE4qfhx6fclH/OAn4Ejet6vNKOSVMWY0j0B+hRnK12GlUlxM5nfgA+AicB0YDOwTyll+L5VUetqkngqbRxSusU5MzOT5cuXY2VlxfPPP1/pNcYsfh0UFARAZGRkjecwdjHuP3bQ/qPaSvDV5GchhBBCVMfZxw9lYkLy8aMc3rIO/5DuOHp613dYQhiVo6cXaBpZqefJSEki7fRJadoihBCiQdIn49C+5EMBrW/5vj3gD8QA4/W8n03J52tVjCktTGirx3z2t3z+N8Xbq9sAdsBDQCzF9RcrbLsWDVOHDh3o3bs3J06cYM+ePSxYsIC8vDxGjx6NvX35gu6lNRUTEm6/U7+0I/St9RerMmzYMAC2bt3KxYsXDYq99B5VdaGuLB4LCwsArl6tvGZnUlJVefraY8jPQgghhNCXuZUVjp7eHNm2kfxr1+g6fGR9hySE0TmUJMszzydzvLRpS59+9RyVEEIIYbhqE4uapoVSnKRbCQzUNC30lo8Bmqa9eGsTljpWGr8ZsE/TtDGapsVqmparadpO4BHgBtBbKRV6u0mUUhOVUlFKqajS5hzi7lW6Um7u3LnMnz8fgClTplQYFxQUhI2NDampqezYsaPC+czMTNavXw9A37599bp3aGgoPXr04ObNm0yaNKna1YLR0dHcuFG8679Xr14opQgPD+fMmTMVxsbGxhIREYGJiQm9e/cuO16aZDx16lSl99i0aZNeseurNJFZWFhY7Vh9fxZCCCGEIVz8WqIrKsKrfSdc/SvWJRaioWvm4oapmRkXzp3ltz078O/6gDRtEUII0SDpu0fSBBgO3Gmb2tIlV42rGFO6qjG3ijGlbh3zzR9Papp2HthY8u1tE4uapn2taVqwpmnBTk6V9acRd5Phw4fj6enJihUrSEhIICQkhODg4ArjrK2teemllwD4y1/+Qnp6etm5vLw8Jk2axNWrV+nevbteHaFLLVq0CHt7e1avXs3w4cNJTEysMCYrK4t33nmHnj17kp+fD4C3tzcjRoxAp9Px4osvcuXKlbLxOTk5vPjii+h0OkaNGlWuI3RISAi2trb89ttvLF26tNx9wsLC+Pnnn/WOXR9OTk5YWFhw8eJFsrOzqxyr789CCCGEMIRbqzYAdBs+qp4jEaJ2mJia0szNg+M7thU3beknTVuEEEI0THo1b9E0rUgplQRY3OH9Eks+V1UopzSjkljFmFIJt/m6sjHSSvAeYWZmxqRJk/j73/8OVL1C7h//+AdRUVHs2rWLli1b8tBDD2Ftbc3evXtJT0/Hy8uLxYsXG3R/X19fDhw4wBNPPMH69evZuHEjnTp1wtfXFxMTE5KSkoiKiqKo6P/Zu/f4nsv/j+OPa2wz5nwchqGMJYc5ldNEOSZiSsrkW8q5AzpH6eCcL7F+iYbIqRwiIZkcchjJsJTDHHIqh7Ridrh+f+zwNTv4fLTZxvN+u71v+3yu63pf1+v92ex228t1iMPHxwd3d/fke4ODg/n5558JDQ2lcuXKyTMl161bx/nz56lVqxZTpkxJMV7+/Pl58803GTp0KD169GDKlCmUKVOG8PBwDh8+zLBhwxgzZoxTz5ARV1dX2rdvz+LFi6lTpw6NGzfGw8ODEiVKMGrUqBRtnfleiIiIOKpG0xaUKF+BMlV1GJ7cuoqXr8AfRyMp6lUWb7+a179BREQkB3LmVIeRwChjTIl/Md6PiV/9jDEe6bSpf03bjOznf/s1Fk+nTVK8aW9QJ7nS/fffD0Dx4sV55JFH0m2XL18+Vq9ezaRJk6hRowbr1q1j6dKlFCpUiGHDhrFz587kk6GdUa1aNXbv3s1nn31Gp06d+P3331m+fDlLly7l1KlTdOrUiblz57J//348PP73o16iRAl++OEHRo4cSbly5Vi5ciUrV67E29ubd999l02bNqW5P+GQIUOYPn06d999N2FhYaxdu5YqVaqwceNG2rZt63T81zNt2jT+85//EBcXx4IFC5g+fTrz5s1Ls62j3wsRERFHueTJo6Si3PKSDiWq2bKNDm0REZFcy1hrHWtoTDgJJzW7Ase55gAWa+3dDvazA6gLBFlrZ11T1xwIBU4B5ay1GW9gl3DPPOAR4ENr7cBr6lxJOMClCtDDWjv3ev3Vq1fPhoWFOfIoREREUL16dYfaSuZ6/vnnmThxIsOGDWP7eqz9AAAgAElEQVT06NHZHc5tTd+LzKPfKSIiIreP04cPsnb6VDoNe1P7K4qISI5mjNlhrU1z3zNnEovDM6q31r7lYD9dSTil+RTQ1Fp7ILG8FLCOhFOdn7PW/veqewYAA4Bt1tqe1/RXi4STqWOBjtbaVYnleYCxwPPAb8Ad1tpL14tPicWc79ixY1SvXp2YmBgOHDiQYj9Cubn0vchc+p0iIiIiIiIiOU1GiUWH9lgExxOHDvSzyBgTDPQFwo0x3wIxQEugELAE+PCa20oA1UhIRl7b30/GmOeA/wIrjTHbSJhRWQeoDPwJBDqSVJSc7eWXX+b48eOsWbOGv//+m6FDhyqRlU30vRARERERERERhxOLSYwx95Ewq9ACe621oc72Ya3tZ4zZCPQHmgN5gJ+BGUCwI0ugr+lvcuJS7SFAIxKWWp8EPgbet9ZGOhuj5Dzz5s3j6NGjeHl58dJLLzFy5MjsDum2pe+FiIiIiIiIiDicWDTGlAMWA/7AicTissaYMKCztfZEujenIXG/w+vueZjYdgQw4jptQknYn1FuUZGRkdkdgiTS90JEREREREREnDkVehIQB1S11npba72BOxLLJmVFcCIiIiIiIiIiIpIzObMU+n4gwFp7OKnAWnvIGDMIWJvpkYmIiIiIiIiIiEiO5cyMRUjYV9GRMhEREREREREREbmFOZNYXAtMNsYkH/1qjKkATEQzFkVERERERERERG4rziQWBwEFgEPGmCPGmCPAwcSyQVkRnIiIiIiIiIiIiORMDu+xaK09ZoypC7QCfBOLI6y132ZJZCIiIiIiIiIiIpJjOXN4C9ZaC6xJvEREREREREREROQ25dThLcaYTsaY740xfyReG4wxnbMqOBEREREREREREcmZHE4sGmNeBOYD+4FhidfPwFxjzJCsCU9ERERERERERERyImeWQg8BBlhrp11VNsMYsw14GxiXqZGJiIiIiIiIiIhIjuXMUmhPYF0a5esS60RSqFSpEsYYQkND06wPDw/Hy8sLYwxdu3blypUrNzfATHTmzBnefvttmjRpQqlSpXB1daVw4cLUqVOHgQMHsm3btuwOUUREREREREQkUzmTWFwCdE2jvAuwLHPCkdvF1q1bad68OadOneLJJ59k/vz5uLm5ZXdYN2TGjBn4+PgwfPhwfvrpJ+6++24CAwNp1qwZ58+f58MPP6Rhw4YMHTo0u0N12ogRIzDGMGLEiOwORURERERERERyGGeWQh8AXjbGtAB+SCxrlHhNMMa8kNTQWjsh80KUW813333HQw89RFRUFM899xwTJkzAGJPdYd2QDz/8kIEDB+Lq6sq4ceMYMGAA7u7uKdps2bKF1157jV9//TWbohQRERERERERyXzOJBZ7AeeBOxOvJOeBJ696bwElFiVNy5Yto1u3bkRHRzN8+PBcPRMuIiKCF15IyKfPnz+fzp3TPiC9UaNGfPvtt2zcuPFmhiciIiIiIiIikqUcXgptrfVx8KqclQFL7jVnzhy6dOnClStXmDhxYrpJRWst8+bN44EHHqBEiRK4u7tToUIFnn76aSIjI1O1Dw0NxRhDQEAA//zzD6+//jq+vr54eHhQu3ZtIOWS3tOnT/PMM89Qvnx53N3d8fHx4eWXX+by5ctOPc/o0aOJiYmhY8eO6SYVkxhjaNq0aaryvXv30rNnT7y9vXF3d6dEiRK0a9eOlStXptlPQEBAhvtW9urVC2MMISEh6ZYfOHCAxx57jNKlS+Pu7o6vry+jR48mPj4+VcxvvfUWAG+99RbGmORrxIgRREZGkidPHooVK8alS5fSjCcmJiZ5H829e/dm+BmJiIiIiIiISO7izIzFZMYYTwBrbVTmhiO3quDgYPr374+LiwszZsygV69eabaLiYnh0Ucf5csvv8TDw4N69epRunRp9uzZwyeffMIXX3zB6tWrqVevXqp7L1++TEBAABERETRr1oxatWqlOhDm2LFj+Pv7Y63l3nvv5eLFi2zcuJHRo0ezb98+li1zbLtQay1fffUVAEFBQc59GImunr3p5+dH06ZNOX78OKtWrWLlypW8/vrrjBw58ob6Ts+uXbsYPHgwJUqUoEWLFpw5c4YNGzbw8ssvc/z4cSZPnpzcNigoiF27dvHTTz9Rq1at5CQtQO3atalUqRIPPvggS5cu5fPPP6d3796pxvviiy84deoUAQEB+Pn5ZeqziIiIiIiIiEg2s9Y6fAHPAUeBuMTrGPA8YJzpJydf/v7+1lH79u1zuO3tqGLFihawDz30kAWsm5ub/eKLLzK856WXXrKAbdasmT127FiKusmTJ1vAVqlSxcbExCSXr1u3zpKwBN/Wrl3bnjp1KlW/w4cPT27z1FNP2ejo6OS6ffv2WU9PTwvYjRs3OvRsBw8eTO7v6NGjDt1ztZMnT9pChQpZwI4fPz5F3bp162z+/PktYL/55psUdc2bN7eAXbduXZr9BgUFWcB++umnaZYDdvjw4TYuLi65bv369dbFxcW6uLikepakz2348OFpjvftt99awNarVy/N+qZNm1rALly4MM16SUm/U0RERERERCSnAcJsOnk0h2csGmPGAH2Asfzv8JZ7gDcBL2DYjSQ2b1XrQj7mzJFD2R2GU0pVrEyLXn0yvd+lS5cC8Nxzz/Hwww+n2+7cuXNMmjQJT09PFi5cSKlSpVLUDxgwgG+++YYVK1awcuVKHnzwwVR9TJkyhdKlS6c7hre3N5MmTUpxAnX16tV54oknCA4OZu3atTRu3Pi6z/T7778nv742TkdMmzaNixcv0rhx4+R9GpMEBAQwcOBARo8ezbhx42jdurXT/aenfv36DB8+PMVhOc2aNaN169asXLmSdevW0bNnT4f7a9myJTVq1CAsLIxt27bRoEGD5Lrw8HA2bNhA2bJl6dSpU6Y9g4iIiIiIiIjkDA7vsQg8BTxlrX3XWvtd4vUu8DTwn6wJT24FzZs3B2D8+PEsWLAg3Xbr1q3j0qVLNG/ePN1kXVJfP/zwQ6q60qVLc++992YYy3333YeHh0eqcl9fXwBOnDiR4f2ZZf369UD6y6iTlhVv3LiRuLi4TBu3Xbt2aZ7A/W+ef8CAAQBMnTo1RXnS+z59+pA37w3tuiAiIiIiIiIiOZizf+3vTqfMmQTlbSErZv7lViNGjGDFihWMGzeOHj16ANCtW7dU7Q4dSpjhuWLFijSTX1e7esZgkooVK143lgoVKqRZXqhQIQCHD3ApWbJk8uszZ87g7e3t0H1JfvvtNwB8fHzSrK9UqRIuLi5cvnyZs2fP3tCsyLRk1vNfrWfPnrzyyivMnz+fCRMmUKxYMS5evMhnn32Gq6srffro34KIiIiIiIjIrciZxOIsoD8w+JryvsDsTItIbkljx44FyDC5mDQzr1q1ajRq1CjD/ho2bJiqLK2ZiNdyccmcHHilSpUoVqwY586dY/v27U4nFpNcL4HqrGtPdr5WZj3/1QoUKEDv3r354IMPmDFjBkOGDGHWrFlERUURGBiIl5dXpo8pIiIiIiIiItnPmcSiO/CYMaY1sCWxrCFQFphjjJmU1NBaOyjzQpRbxbXJRWMMgYGByfVJybmaNWsSEhKSHSE6zMXFhQ4dOjBr1ixmzpyZ4d6RaSlXrhw///wzhw4domXLlqnqIyMjiY+PJ1++fBQrViy5PGlvyKiotA9kP3LkiFNxZJb+/fvz3//+l48++ogXXniB4ODg5HIRERERERERuTU5M33JF9gJnAQqJl6nEsuqAzUTr7syOUa5hYwdO5YhQ4YQGxvLY489xsKFC5PrWrVqhaurK99++y0XLlzIxigdM2zYMPLmzcuyZctYvHhxhm2ttWzcuDH5fdJekbNmzUqz/aeffgpAkyZNUuxPWK5cOQB+/vnnVPecPn2anTt3OvcQ15GUyIyNjc2wXZUqVWjbti0HDx7k1VdfZd++ffj5+SU/p4iIiIiIiIjcehxOLFprWzh43ZeVAUvud21ycdGiRUDC4Sv9+/fnwoULdOzYMc3k2d9//83cuXM5ffr0zQ47FT8/P8aNGwfAo48+yoQJE4iOjk7VbseOHbRu3Tq5LcDTTz9NwYIF2bhxI5MmTUrR/vvvv2fy5MkAvPjiiynqkmY3TpkyhZMnTyaXnzt3jqCgoHRnMt6opERmRETEddsOHDgQgNGjRwPQr1+/TI1FRERERERERHIWHdUq2eLqZdHdu3cHoGvXrowZM4YTJ06wYMEC7rrrLmrXrk3lypUxxhAZGclPP/1EdHQ0ERERlC5dOjsfAYDBgwfj4eHBc889x4svvsiIESNo2LAhpUqV4q+//iI8PJzIyEgAXnrppeT7ypQpw+zZs3nkkUcYPHgwn3zyCXfddRcnTpxgw4YNxMfH8/rrr9OmTZsU43Xr1o0JEybw448/4ufnR+PGjbly5Qrbt2+nbNmydOrUiSVLlmTa87Vu3Zr8+fPz5Zdf0qxZM6pUqUKePHno2LEjHTt2TNH2gQceoFq1auzfv5+CBQvyxBNPZFocIiIiIiIiIpLzODxj0RizLKMrK4OUW9PVMxe7d+/OokWLcHV1Zf78+SxbtowOHTpw4sQJlixZwrfffsvff/9N9+7dWbx4MVWqVMnu8JP16dOHw4cPM2LECGrWrMmuXbtYsGAB69evp0iRIgwaNIgdO3YwatSoFPc99NBDhIWF8fjjj3P27FkWLVpEeHg4DzzwACtWrGDkyJGpxnJzc+Pbb7+lb9++eHh4sGrVKn7++WeCgoLYvHkzhQsXztRnK1OmDMuXLycgIIDdu3czc+ZMpk+fnuaSa2MMrVq1AhJOii5YsGCmxiIiIiIiIiIiOYux1jrW0JhPrylyBWoB3sCX1tremRxbtqhXr54NCwtzqG1ERATVq1fP4ohEcocrV65QoUIFTp8+zd69e6lRo0Z2h5Tr6HeKiIiIiIiI5DTGmB3W2npp1Tm8FNpa+2Q6nY8HLt5gbCJyi5gyZQqnT5+mTZs2SiqKiIiIiIiI3AYyY4/F/wM2Am9lQl8ikovs37+fsWPHcuLECVatWoWrq2uqJd8iIiIiIiIicmvKjMRitUzoQ0RyoZMnTzJ9+nTc3d2pVasW77zzDrVq1crusERERERERETkJnA4sWiMmXRtEeAFtAVmZGZQIpI7BAQE4Og+rSIiIiIiIiJya3FmxmLNa97HA78Dz6PEooiIiIiIiIiIyG3FmcNbWmRlICIiIiIiIiIiIpJ7uNzojcaYCsaYGsYYk5kBiYiIiIiIiIiISM533cSiMeYRY0zfa8qCgcNAOBBujCmXRfGJiIiIiIiIiIhIDuTIjMWBJOynCIAxphXwDPAmEAjkAd7IkuhEREREREREREQkR3Jkj8VqwJar3j8ErLbWvgtgjLkMfJgFsYmIiIiIiIiIiEgO5ciMRU/g/FXv7wW+u+r9XqBMZgYlIiIiIiIiIiIiOZsjicXjgB+AMaYQUBPYdFV9cSAq80MTERERERERERGRnMqRpdALgUnGmPeBNsBJUi6Nrgf8nAWxiYiIiIiIiIiISA7lSGJxJFAeGA+cAh631sZdVd8dWJEFsYmIiIiIiIiIiEgOdd2l0NbaS9bantbaotba6tbaDdfUt7DWjs66ECW3qlSpEsYYQkND06wPDw/Hy8sLYwxdu3blypUrAIwYMQJjDCNGjLh5wd5EmzZtok+fPlSvXp3ChQvj5uZGmTJlaNWqFePHj+fMmTPZHaKIiIiIiIiIyHU5ssdiCsaYesaYR4wxBRLfFzDGODLzUSTZ1q1bad68OadOneLJJ59k/vz5uLm5ZXdYWSoqKorAwECaNGnCtGnTiI6OJiAggK5du1KjRg1++OEHhgwZQpUqVdi6dWt2h+u0pERyZGRkdociIiIiIiIiIjeBwwlBY0xpYCnQALDAHcAhYAJwGRicFQHKree7777joYceIioqiueee44JEyZgjEmuHzBgAI8++iglSpTIxigz15UrV2jdujWbN2/G19eXjz/+mKZNm6ZoEx0dzcyZMxk+fDgnT57MpkhFRERERERERBzjzEzDD4DTJJwCffSq8oXA5MwMSm5dy5Yto1u3bkRHRzN8+PA0lzuXKFHilkoqArz99tts3ryZSpUqsWnTJooVK5aqjbu7O3369OGhhx7iwoUL2RCliIiIiIiIiIjjnFkK3RJ4zVp7/pryg0CFzAtJblVz5syhS5cuXLlyhYkTJ6a7h2J6eyyGhIRgjKFXr1789ddfDB06FB8fH9zd3SlXrhx9+/bl3LlzafZpreXjjz+mTp06eHh4ULJkSR5++GHCw8NT9HutefPmcd9991GsWDFcXV0pUaIENWvWpH///hw8eNCh57548SKTJk0CYMKECWkmFa9WunRpqlWrlir+2bNnExAQQNGiRcmXLx9VqlShf//+HDt2LFUfkZGRGGOoVKlSuuMYY1LMFE2rfP78+dxzzz14enpSsGBBWrZsycaNG1O0T/r8jhw5AoCPj09yH0lLo0eOHIkxhmeffTbdeL766iuMMTRo0CDdNiIiIiIiIiKScziTWPQArqRRXpKEpdAi6QoODuaJJ57AWsuMGTMYPPjGV87/+eefNG7cmBkzZlC7dm0eeOAB/vnnHz766CPuv/9+YmJiUt3zzDPP8Mwzz7Bnzx4aN25Mq1atCA8Pp2HDhoSFhaU5zogRI+jevTsbN27k7rvvJjAwkAYNGhAXF8fUqVPZvn27Q/GuW7eOv/76iyJFitCxY0enn9day+OPP07Pnj3ZvHkz9evXp1OnTlhrmTp1KrVr13Y4Fme8+eabPPbYY7i5udG+fXvKly/Pd999R8uWLfnhhx+S21WtWpWgoCAKFCgAQJcuXQgKCkq+PD096dOnD25ubsyZM4eLFy+mOd6UKVMA6N+/f6Y/i4iIiIiIiIhkPmeWQn8P9AJeTXxvjTF5gJeAtZkcl9xCJk6cyNKlS3Fzc+Pzzz/n4Ycf/lf9LVmyhHbt2rF582Y8PT0BOHHiBI0aNWLnzp0sWLCAHj16pGg/bdo0ihQpwtq1a6lbty4A8fHxvPTSS4wbNy7VGNHR0YwZMwZPT0927NjBnXfemaL+119/JW9ex/757NixA4C6deuSJ08ep583ODiYuXPnUrp0adauXYufnx8AcXFxPP/880yePJnAwED279+Pu7u70/2nZ8qUKWzbtg1/f38g4fN69tlnmTZtGm+++SZr1qwBoEmTJjRp0oTQ0FD+/vtvxo0bl+ZMyW7duvHZZ58xa9YsBgwYkKLuwIEDrF69muLFi/PII49k2jOIiIiIiIiISNZxJrE4DFhvjKkPuAPjAT+gMNA4C2LL1S58dZArJ/7O7jCc4la2AEUerJLp/S5duhSA55577l8nFQE8PT2ZPn16clIRoGzZsgwYMICXXnqJtWvXpkgsJi1DfvHFF5OTigAuLi689957zJs3j+PHj6cY4+LFi1y6dIlatWqlSioC3HHHHQ7H+/vvvwNQqlQph++52vjx4wEYOXJkclIRIE+ePIwbN46lS5dy5MgRFi1alOK5/6233norOakICZ/XyJEjmTZtGhs2bCAmJgZXV1eH+xs4cCCfffYZwcHBqRKLwcHBWGvp3bs3+fLly7RnEBEREREREZGs4/BSaGvtPuBuYDOwGshHwsEtday1jm02J7el5s2bAwkJsgULFvzr/vz9/SlTpkyqcl9fXyBh9mKS2NhYNm/eDMBjjz2W6h5XV1e6du2aqrxkyZJUqlSJn376iRdffJGff/75X8d9I44fP86hQ4dwcXHhiSeeSFXv5uaWnEwMDQ3N1LE7dOiQqqx06dIULVqU6Ohozp4961R/DRo0oEGDBuzbty9FrJcuXSIkJAQXFxf69u37b8MWERERERERkZvE4RmLxpg81tqTwPAsjOeWkRUz/3KrESNGsGLFCsaNG5ecBOvWrdsN91ehQtpnBRUqVAiAy5f/t+XnH3/8QXR0NC4uLnh7e6d5X8WKFdMsnzVrFl27dmXChAlMmDCBkiVL0qhRI1q3bs3jjz9O4cKFHYq3ZMmSAJw5c8ah9lf77bffAPDy8kp3Jl/lypVTtM0sGX3O58+fT/E5O2rQoEE8/vjjTJ06lYCAACDhgJxz587Rvn17fHx8/k3IIiIiIiIiInITOXN4yyljzGRjTMMsi0ZuWWPHjmXIkCHExsbSo0ePfzVz0cXFmR/b/0nrBOSM+mvatCmHDx9m/vz59O3bl7Jly7J8+XIGDBhA1apV+fHHHx0aN2k58c6dO4mLi8vU2G9UfHz8ddvc6OeckcDAQEqXLs2SJUs4efIkAFOnTgWgX79+mT6eiIiIiIiIiGQdZzIHrwE1gc3GmF+NMcONMVWzKC65BV2bXFy4cGGWj1m8eHHc3NyIj4/n2LFjabaJjIxM9/78+fPTrVs3pk6dyq5du/jtt9945JFH+OOPPxw+vbhFixZ4enpy4cIFli1b5lT85cqVAxKWd0dHR6fZ5tChQynaQsISaYCoqKg07zly5IhTcWQWNzc3nnnmGWJiYpg2bRrbtm0jLCyMypUr06ZNm2yJSURERERERERujDN7LH5srQ0AKgGfAA8DvxhjthhjHMuwyG3v6uTiY489luXJRVdXV+655x4APv/881T1MTExfPHFFw735+XlxbvvvgvATz/95NA9hQoVYuDAgUDCATLnzp3LsP2ZM2fYv38/AOXLl6dy5crEx8fz2WefpRn/nDlzAJKXFkPC8ms3NzfOnj2bfHjM1b7++muHYndGUjIzNjY2w3bPPvssrq6ufPzxx8kH6/Tt2zdLZkiKiIiIiIiISNZx+i95a+0xa+1oa20toB4JJ0RPyvTI5JZ1bXJx0aJFWTpeUlJv3Lhx7Nq1K7k8Pj6e119/naNHj6a658iRI3zyySdcvHgxVd1XX30FpL83Y1qGDx9Ow4YNOXz4ME2aNGHjxo2p2ly5coUZM2ZQp04dIiIikstfeOEFAN54440Uh8jExcUxbNgwjh49SsWKFVMcQuPq6krTpk2Tx7bWJtdt3LiRN9980+HYHZU0Y/Lq2NPi5eVFly5d+O2335gzZw758uWjd+/emR6PiIiIiIiIiGQthw9vuZoxpgnQAwgE3IDUU6lEMjB27FggIdnXvXt3gDRPZ84MXbp0oXfv3syYMYP69esTEBBAyZIlCQsL49ixY/Tt25fg4ODkGXcA58+f5+mnn6Z///7Url0bHx8f4uPj2bdvH3v37sXV1ZUxY8Y4HIO7uztr1qyhZ8+eLFmyhKZNm1K5cmVq1qxJ/vz5OX36NNu2bSMqKopChQpRtmzZ5Hv79evHpk2b+Pzzz6lVqxYBAQEUK1aMbdu2cejQIYoWLcrChQtxd3dPMebbb7/Nhg0bCA4OJjQ0FD8/P44cOcKOHTt49dVXeeedd/79h3uVzp07ExoaSo8ePXjggQcoUqQIAKNHj6Z48eIp2g4aNIh58+YB8Oijj1KsWLFMjUVEREREREREsp7DMxaNMX7GmPeMMYeB74AKwECgtLU2KKsClFvX1TMXu3fvnqUzF6dNm0ZwcDB+fn5s2LCBVatWUb16dbZs2ZKcxCtRokRy+ypVqvDBBx/Qtm1bzp07x/Lly/nmm2+Ii4ujT58+7Nq1iw4dOjgVQ8GCBVm8eDHff/89//nPf8ibNy/fffcdixYtYu/evTRq1IgPPviAQ4cO0aBBg+T7jDHMmTOHWbNm0bBhQ7Zu3cqXX35JfHw8ffv25aeffqJ+/fqpxrv33ntZu3YtLVu25NixY8nLn2fNmsXIkSNv5GPM0IABAxg5ciTlypVj+fLlTJ8+nenTp/PXX3+latugQYPkU7wd3atSRERERERERHIWc/USyQwbGhMPbAPmAPOstak3brsF1KtXz4aFhTnUNiIigurVq2dxRJLVWrVqxdq1a1m0aBFdunTJ7nBuC0uXLqVTp040aNCArVu3Znc4OYZ+p4iIiIiIiEhOY4zZYa2tl1adM0uhq1lrf82kmERuqr179+Lj40P+/PmTy2JiYhg9ejRr166lZMmStGvXLhsjvH3ExsYmz5hM2j9SRERERERERHIfhxOLSipKbvb++++zePFi6tatS7ly5bhw4QLh4eGcOHECd3d3QkJC8PDwyO4wb2mffvop33//Pdu2bWPfvn00bNiQbt26ZXdYcpuy1vL15HGUqXIn/u0fyu5wREREREREcqUME4vGmItAZWvtH8aYv4B0101bawtldnAimaV79+5ERUWxc+dOdu7cSWxsLF5eXvTs2ZMhQ4ZQs2bN7A7xlrd+/XpmzpxJ0aJF6datGxMnTsQYk91hyW3qeMQeft60nhO/RFC3XUf9LIqIiIiIiNyA681YHAj8ddVrxzZkFMlh2rdvT/v27bM7jNtaSEgIISEh2R2GCADblyYcFnXx9zP8fuQwpSpVzuaIREREREREcp8ME4vW2plXvQ7J8mhERESy2JnIQxzetYM6bR/kx2+WczBsqxKLIiIiIiIiN8DF0YbGmEPGmOJplBcxxhzK3LBERESyxvZlX+Caz4N7u/bA645qHAjbkt0hiYiIiIiI5EoOJxaBSkCeNMrdgfKZEo2IiEgW+vPMKfZv3kCt+9uSz9OTqvUacebwQS7+8Xt2hyYiIiIiIpLrXPdUaGPMw1e9bW+M+fOq93mAlsDhzA5MREQks4UtX4xxcaFuu44AVKnXkA1zQzi4Yyt1WnfI5uhERERERERyl+smFoFFiV8tMP2auhggEngxE2MSERHJdP/8eYE9362hRrP7KFisBADFy3lT1KscB8OUWBQREREREXHWdZdCW2tdrLUuwFGgVNL7xMvdWlvNWrs860MVERG5cT9+8xWxsTHU7/hwivIq9RpybG840f/8nU2RiYiIiIiI5E4O77ForfWx1v6RlcGIiIhkhSuX/uHHVcu5o/49FCubcgnwx6YAACAASURBVFvgqvUaER8Xy+Efw7IpOhERERERkdzJkaXQyYwxRYG2QAXA7eo6a+3bmRiXiIhIptm9dhXRf/9N/Ye6pKrzurMaHoUKcyBsK76Nm2dDdCIiIiIiIrmTw4lFY0wjYAUQDZQEfgO8Et9HAkosiohIjhMXG8OOFUvwrlETr6rVUtW7uOShin8DftmyibjYGPLkdc2GKEVERERERHIfh5dCA2OBOUA54DJwHwkzF8OA0ZkfmoiIyL8XsSGUqHNnafBQ13TbVKnXiCuX/uHYvj03MTIREREREZHczZnE4t3Ah9ZaC8QB7tba08BLwIgsiE1yuUqVKmGMITQ0NMvGCA0NxRhDQEBAlo3hjPDwcAYNGsTdd99N0aJFcXV1pUSJEjRt2pS33nqLI0eOZHeIIrcVGx/PtmVfULJSZSrWqptuu4o1a5HXzZ2DYVtuYnQiIiIiIiK5mzOJxStXvT4NVEx8HQWUdXZgY8xjxpgNxpg/jTFRxpgwY0x/Y4wzMaXXdx9jjE28Pvy3/YlcT0xMDAMGDKBWrVpMnjyZP/74g8aNGxMYGEjdunXZs2cPI0aM4M4772Tx4sXZHa7TAgICsjxJLJIVDuzYyvkTx2nQsQvGmHTbubrno+LddTgYto2E/z8TERERERGR63Hm8JadQH3gFyAUeMcYUxp4HNjtzKDGmClAPxKWVK8FYoCWwIdAS2NMV2ttvDN9XtV3RWAcYIH0/4oUyUQ9evRg4cKFeHl58dFHH9GxY8cU9bGxsSxevJhXX31VsxZFbhJrLduXLKJwqdLc2ajJddtXrdeQg2FbOHP4IKUrV70JEYqIiIiIiORuzswOfA04kfj6deB3YDJQFOjjaCfGmC4kJBVPAXdbaztYazsDdwARQGdgoBNxXd23AaaT8FyzbqQPEWd98sknLFy4kCJFirBp06ZUSUWAvHnzEhgYyI8//kjz5jp1VuRmOB6xh5MH9lPvwS645Mlz3faV/RtgjAsHwrbehOhERERERERyP4cSi4nLk/8BtgFYa3+31ra11hay1taz1oY7MeYriV9fstb+mlSYuF9j38S3L9/gkuhnSZj5+AoJJ1VLLnLkyBHef/99WrRogbe3N+7u7hQrVowWLVowd+5cp/s7fvw4tWrVwhhD3759iYuLS647duwYgwcPplq1anh4eFCoUCEaN25MSEiIU8sgrbW89957ALz55pv4+Phk2N7T05M6deqkKl+xYgVt27alRIkSuLm54e3tTVBQEBEREWn2Y4zJcFln0v6WkZGR6ZavWbOGli1bUrhwYfLnz0+jRo1YtmxZivZJe1iuX78egBYtWiSPnbQ0evbs2RhjaNOmTbrxhIeHY4yhXLlyxMbGpttOJDNtW7qI/IWL4BfQ0qH2+QsVpmw1X+2zKCIiIiIi4iBHk3cW2AV4/ZvBjDHlAX8S9mtcmGoQa9cDvwFlgEZO9u0DjAE2krCkWnKZ2bNn8+qrr3Ls2DF8fX3p3LkzNWrUYMOGDfTo0YNBgwY53Fd4eDj33HMP4eHhvPfeewQHB5MnccbSunXrqFmzJpMmTSI+Pp42bdrQsGFDdu/ezZNPPklQUJDD4+zevZvDhw9jjKFnz55OPzPAK6+8QocOHVi9ejV+fn507dqVwoULM2vWLOrWrcuKFStuqN+MTJ8+ndatWxMVFUW7du3w9fVl69atdOrUiUWLFiW3K1OmDEFBQZQuXRqA1q1bExQUlHyVKVOGbt26UapUKVavXs3BgwfTHG/KlCkA9OnTh7x5ndmBQeTGnIk8ROSuHdRt2xFXN3eH76tSrxG/HznMn2dOO3zPP39eYMnYd7j4x5kbCVVERERERCTXciixmHgS9H6g5L8cL2mq1l5r7aV02my/pu11JS6BnkHCnpH/sdp5P1dq3bo1e/bs4cCBA6xZs4Z58+axceNGIiIi8Pb2ZvLkyWzdev0lit9++y1NmjThzJkzzJ49m1deeSW57uTJk3Tp0oWoqChCQkL45ZdfWLx4MWvWrGHfvn3Url2b2bNnExIS4lDMO3bsAMDHx4fixYs7/cxff/01o0aNokCBAqxbt47169czd+5c9uzZw5gxY7h8+TI9evTgzJnMTViMGTOGr7/+mq1bt/L555+zc+dORo4cibU2xefl6+tLSEgIvr6+ALz88suEhIQkX76+vri7u9OnTx+stQQHB6ca6+LFi8yZMwdXV1f69HF41wSRf2X7si9wzedBrfvbOXVf1XoNATi4w7Hl0PFxcSyfOJojP+3k0l9/OR2niIiIiIhIbubM1KFhwDhjTH/gpxtM3iWtE83o9Iqj17R1xAAgAHjZWvvLDcSV6VauXMmpU6eyOwynlClThrZt22bb+PXr10+z/I477uCNN96gT58+LFq0iIYNG6bbx6xZs3jqqafInz8/33zzDS1atEhRP3HiRM6fP8+wYcNSzUz09vZm2rRp1K9fn8mTJ9OrV6/rxvz7778DUKpUqeu2Tcv48eMBGDx4MM2aNUtRN3ToUL788ku2bNnCtGnTeO21125ojLQMHDgw1dLlYcOGMW7cOA4cOMDRo0epUKGCw/09++yzjBo1ik8//ZR33nmHfPnyJdfNnDmTqKgoAgMD8fL6V5OeRRxy4fQp9m/egH+HTuTz9HTq3qJe5ShWzpuDYVuo2zb1fqnX2vD5TI7tC6dNv+cp7VPlRkMWERERERHJlZzZx3AB0ADYAVw2xly8+nKwj6S/8P7OoE1U4teCjnRojKkCjALCSDgNWnKxy5cvs3TpUl5//XWeeeYZevXqRa9evZKX5/7yS/p543feeSd5ee7GjRtTJRUhYYYgQGBgYJp9+Pv74+npya5du7h8+XImPFH6YmNj2bRpE0C6Scwnn3wSSNjrMDN16NAhVZmbmxuVK1cG4MSJE6nqM1KuXDkefvhhzp07x7x581LUJc1i7N+//w1GK+IcV3d36rZ7kLrtrp8YTEvVeg05tm8Pl6OiMmy3/4eNhH31JbUeaI9fc8f2cRQREREREbmVODNjcSAJey3mGFctgXYlYQl03HVuSa+fPiSebO3MLK2MZOfMv9zqhx9+oFu3bhw/fjzdNhcvpp3D3rRpE+vXr8fDw4MNGzZQsWLFNNsdOnQISH925NXOnj1LuXLlMmxTsmTC7gA3slT57NmzREdH4+Likm68SYm+3377zen+M5Lez3mhQoUAbiipOmjQIBYsWMDUqVOTE6Xr1q0jIiICPz8/nYYtN02BIkUJ6Pn0Dd9fpV4jti1dxOEft1O9aer/oAA4e/woq4In4nVHNVoEPXXDY4mIiIiIiORmDicWrbUhmTBe0vSPAhm0SZrV6MhmVYOAZsDb1trdNxqUtfZj4GOAevXq5ajk6e3in3/+oXPnzpw+fZr//Oc/9O3bl6pVq1KwYEFcXFxYvXo1rVu3TvfEZj8/P/LkycPOnTsZPHgwCxYswM3NLVW7pJOhH3nkkRTLddPi7n79Ax/8/f0BOHz4MGfPnr2hfRaBDE94vhHx8fEZ1ru43Mih6xlr3LgxderUYfv27ezYsQN/f//kQ1v69euX6eOJZBWvqndSoEhRDoRtTTOxGP3PPywd/x6u+fLx4AuvkCevazZEKSIiIiIikv0cTiwaY+IAL2vtmWvKiwNnrLV5HOgmMvFr2tOzEnhf0zYjnRO/3m+MuXY6VKWkNsaYu4Aoa23q9Z+SI3z//fecPn0af39/Pvnkk1T1Bw4cyPD+IkWKsHTpUtq2bcvSpUvp2LEjixcvxsPDI0U7b29vDhw4wBtvvIGfn9+/jvvuu++mUqVKREZGMmvWLJ5//nmH7y1evDju7u5ER0cTGRnJHXfckapN0gzLa2dOurq6EhMTQ1RUFJ7X7CEXExPDyZMnb+Bp/r2BAwfSu3dvpkyZwjvvvMPSpUspWLAgTzzxRLbEI3IjjIsLlf0b8POm74mNiSGv6/8Sh9ZaVgVP5MKpEwS+8S4Fi5XIxkhFRERERESylzPTltKbUuUOXHGwjx8Tv/oZYzzSaVP/mraOuAdofs2VlLwsm/i+iRP9yU127tw5ICHxl5a5c+det4/ChQuzevVqWrRowapVq2jXrh1R1+yRlrREfeHChf8y4gTGmORTlN9++20OHz6cYfuoqCh+/DHhRztv3rw0btwYSDh0Ji1Jp1MHBASkKE9KNP7888+p7lm9ejWxsbEOP4MjkmZ/Xq/f7t27U7x4cebNm8eoUaOIjY2lZ8+eFCzo0JapIjlG1XqNiLl8iWN7U06G377sC37dtplmPZ7Eu0bNbIpOREREREQkZ7huYtEY84Ix5gUS9ld8Nul94jUU+AhInd1Ig7X2GLATcANSnZ6ROOuwPHAK+MGB/gKstSatC3grsdmUxLIijsQo2cPX1xeA7777LkWyLD4+nrfffjv5kJPr8fT0ZMWKFbRt25bQ0FAeeOAB/vzzz+T6oUOHUqhQId577z2mTJmSZqJs7969fPnllw7H/vTTT9O5c2cuXLhAkyZN+Oqrr1K1iYuLY/Hixfj7+7N+/frk8hdeeAFIOK362mecMGECP/zwA4ULF+app1Lu4dayZcJBEW+//TZXrvwvr793714GDhzocOyOSkpkRkREZNguX758PP3001y6dInJkycDWgYtuVOFu2rh6p6Pg2FbksuOhO9i4+ezuPOepvi375SN0YmIiIiIiOQMjiyFTspSGOAp4OoDUq6QsGT5WSfGfB9YCIw2xmy21h4AMMaUAqYmthllrU3eJM4YMwAYAGyz1vZ0YizJAfr165d8KEhaFi9eTN26denQoQPLly+ndu3atGjRgsKFC7N9+3aOHj3KsGHDGDNmjEPjeXh4sGTJEh599FEWL15My5YtWbVqFcWLF8fb25slS5bQtWtXBgwYwLvvvoufnx+lSpXiwoULhIeHc+zYMR555BEefvhhh8YzxjB//nwGDRrE//3f/9GxY0fKli2Lv78/BQsW5OzZs2zbto3z58/j7u6Oj49P8r3t27fnpZdeYvTo0TRr1oymTZtStmxZwsPD2bNnD/ny5eOzzz6jdOnSKcZ85ZVXWLhwIV999RXVqlXD39+fU6dOsX37drp160Z8fDxHjhxxKH5HdO7cmZCQEIYOHcqaNWsoVaoUkJCorVatWoq2/fr1Y+zYscTFxREQEECNGjUyLQ6RmyWvmxuVatXlYNhWWvbuy1/n/mDFf8dQrFx5Wj87KNP3RRUREREREcmNrptYtNb6ABhj1gEPW2vP/5sBrbWLjDHBQF8g3BjzLRADtAQKAUuAD6+5rQRQjYSZjJLLXG+WW3R0NABffPEFH3zwAbNnzyY0NBRPT0/uuece5s6dy6VLlxxOLELC0t0FCxYQFBTE3LlzadGiBWvWrKF06dK0aNGCvXv3MnnyZFasWMGWLVuIiYmhTJkyVK5cmX79+hEYmGpCbYZcXV0JDg7m2Wef5ZNPPiE0NJTvv/+ev//+m8KFC3PXXXfRunVrgoKCKF++fIp7R40aRZMmTfjwww/Zvn07mzdvplSpUjzxxBO8/PLLaSbmqlSpwqZNm3jttdf4/vvvWbFiBVWrVmXs2LEMHDgwRfIyM3Ts2JGpU6fyf//3f3z77bdcunQJgMcffzxVYtHb2xtfX1/27t1L//79MzUOkZupSr2G/LptM7/9EsH6WZ8QFxtDxxdfxS1fejt5iIiIiIiI3F5MeqfsOnSzMVWB49bayzdw72NAf6AmkIeE5dQzgOCrZysmth0BDAfWW2sDHOw/6Z4p1toBjsZVr149GxYW5lDbiIgIqlev7mjXIreFn376idq1a1O2bFmOHDlC3rwOnxF129PvlJzl0l8XCe7zOPkKeHLpr4t0HPIad9S/J7vDEhERERERuamMMTustfXSqnP48BZjzHvGmKDE1yZxpuEvwEljTENng7LWzrXWNrbWFrLWFrDW+ltrp1ybVExsOyJxn8QAJ/pPusfhpKKI/HtvvvkmAIMGDVJSUXI1j4KFKOdbg0t/XaRBp0AlFUVERERERK7hzF/9PYBHEl+3BWoBjRLLRwEtMjc0Ecktli1bxtKlSwkPD2f79u1UqlSJAQOU05fcr2GnbpSqWJnGjzye3aGIiIiIiIjkOM4kFksDxxNftwMWWGu3GWPOAY6tHRaRW9LOnTuZMWMGBQsWpE2bNkycOJECBQpkd1iSg8TFxpInF85grVSrLpVq1c3uMERERERERHIkh5dCA2eBiomvHwDWJr7OS8KJ0SJymxoxYgTWWi5evMjKlStTHegit7fLUVHMGjqAiA3rsjsUERERERERyUTOTB/5AphrjPkFKAasSiyvDRzI7MBERCT3s/HxrJwyngunT1G4tFd2hyMiIiIiIiKZyJnE4gvAEaACMMxa+3diuRcQnNmBiYhI7rd1yUIO7dzOfb2fpeydvtkdjoiIiIiIiGQihxOL1tpYYHwa5R9kakQiInJLiNz9I5sWfEb1JgHUfqB9docjIiIiIiIimSzDxKIxpi6wy1obn/g6XdbanZkamYiI5FoX//idryeNpXg5b+5/egDGaCteERERERGRW831ZiyGAWWAM4mvLWkf1GKBPJkbmoiI5EZxsTEs/2AUcbExdHzxVVzz5cvukERERERERCQLXC+x6AP8ftVrERGRDIXO+oSTB/bz4AuvUKxs+ewOR0RERERERLJIholFa+2RtF6LiIikJWLDOnatWoF/h87c2bBxdocjIiIiIiIiWciZU6ExxuQHagOlAJer66y1X2ZiXCIiksv8cTSS1dM+pJyvH027B2V3OCIiIiIiIpLFHE4sGmNaAZ8DxdOo1h6LIiK3seh//mHZhPdx98hPh+deIk9ep/7fSkRERERERHIhl+s3SfZfYAVQ3lrrcs2lpKKIyG3KWsuq4IlcOH2SDoNfwrNosewOSURERERERG4CZxKLlYCR1toTWRSL3GIqVaqEMYbQ0NDsDuWWEh4ezqBBg7j77rspWrQorq6ulChRgqZNm/LWW29x5Ii2Q5Wba8fyxfy6bTPNHutF+Rp3ZXc4IiIiIiIicpM4k1jcBFTLqkBEJGMxMTEMGDCAWrVqMXnyZP744w8aN25MYGAgdevWZc+ePYwYMYI777yTxYsXZ3e4TgsICFAiOhf6ZctGvp8bwh0N7sW/Q+fsDkdERERERERuImc2wfoIGGeMKQuEAzFXV1prd2ZmYCKSUo8ePVi4cCFeXl589NFHdOzYMUV9bGwsixcv5tVXX9WsRcly8XFxbPh8JmFffYnXHdVo3fc5jDHZHZaIiIiIiIjcRM4kFhclfv04jTod3iKShT755BMWLlxIkSJF2LRpEz4+Pqna5M2bl8DAQNq2bcuvv/6aDVHK7eKfi3+y4r+jObpnN7Xub0dA0NPkdXXN7rBERERERETkJnNmKbRPBlflzA9NbjdHjhzh/fffp0WLFnh7e+Pu7k6xYsVo0aIFc+fOTfe+1atX0759e0qVKoWrqyvFihXD19eX3r17s3Nnyom0Fy5c4NVXX8XPz4/8+fOTL18+ypcvT0BAAO+//36a/R87dozBgwdTrVo1PDw8KFSoEI0bNyYkJARrbar2Vy/p3bFjBx07dqR48eLky5ePWrVqMX36dKc+F2st7733HgBvvvlmmknFq3l6elKnTp1U5StWrKBt27aUKFECNzc3vL29CQoKIiIiIs1+jDEZzkBL2kMzMjIy3fI1a9bQsmVLChcuTP78+WnUqBHLli1L0T40NBRjDOvXrwegRYsWyWMnfY6zZ8/GGEObNm3SjSc8PBxjDOXKlSM2NjbddvLvnDrwC5+9/By/7Y+gdd/naPVUPyUVRUREREREblMOz1i01mptpWSp2bNn88Ybb1ClShV8fX1p3Lgxx48fZ8OGDYSGhrJlyxYmTZqU4p6QkBCefPJJXFxcaNiwIRUrViQqKopjx44REhLCnXfeSd26dQH4559/aNy4Mfv27aNUqVK0atWKAgUKcPLkSfbt28eWLVt45ZVXUvS/bt06OnfuzJ9//knVqlVp06YNUVFRbNmyhSeffJLvvvuOWbNmpfk833zzDRMmTKBatWo88MADHD16lM2bN/PUU09x4cIFXnzxRYc+l927d3P48GGMMfTs2fMGPll45ZVXGDVqFC4uLjRp0oRy5cqxe/duZs2axYIFC1i0aBHt27e/ob7TM336dN59913q169Pu3bt2L9/P1u3bqVTp04sWLCArl27AlCmTBmCgoL45ptvOH36NK1bt6ZMmTLJ/ZQpU4Z77rmHIUOGsHr1ag4ePEiVKlVSjTdlyhQA+vTpQ968zkzGFkftXvsN3834iAJFi9H97bGUrlw1u0MSERERERGR7GStTfcCHgZcr3qd7pVRP7np8vf3t47at2+fw21vRxUrVrSAXbdunUPtt23bZvfs2ZOq/JdffrHe3t4WsFu2bElR5+PjYwG7adOmVPcdO3bM7t27N/n9zJkzLWDbt29vY2JiUrSNjY21a9euTVF24sQJW7RoUZsnTx4bEhJi4+Pjk+uOHj1qa9eubQH76aefprivefPmloTtAez06dNT1M2ePdsCtlChQvbvv//O+ANJNH36dAvYypUrO9T+WitWrLCALVCggF2/fn2KujFjxljAFi5c2J4+fTpFXdIzpCfp+3v48OE0y93c3OzKlStT1I0cOdICtmrVqqn6S/rc0vt5ef311y1gX3zxxVR1f/75p/X09LSurq72xIkT6cac0+XU3ykx0dF21Uf/teO6tbcL33nd/nPxz+wOSURERERERG4SIMymk0e73rSeRUAZ4Az/22Mxzfwk2mMxhV9+GclfUWkvMc2pCnpW584738i28evXr59m+R133MEbb7xBnz59WLRoEQ0bNkyuO336NEWKFOHee+9NdV/58uVTvD99+jQArVq1SjWjLU+ePNx3330pyiZOnMj58+cZNmwYQUFBKeq8vb2ZNm0a9evXZ/LkyfTq1SvV+F26dKF3794pyh5//HHee+89IiIiCAsLo1mzZmk+89V+//13AEqVKnXdtmkZP348AIMHD0413tChQ/nyyy/ZsmUL06ZN47XXXruhMdIycODAVEuXhw0bxrhx4zhw4ABHjx6lQoUKDvf37LPPMmrUKD799FPeeecd8uXLl1w3c+ZMoqKiCAwMxMvLK9OeQeDiH2dYNv59Th/6lYadu3Fvtx64uOjXvYiIiIiIiFxnj0VrrYu19sxVr9O79FemZIrLly+zdOlSXn/9dZ555hl69epFr169WLQoIa/9yy+/pGjfoEEDLly4QM+ePfnxxx/T3PMwSVLicvTo0Xz22WdcuHAhw1i+/vprAAIDA9Os9/f3x9PTk127dnH58uVU9R06dEjzPl9fXwBOnDiR4fiZITY2lk2bNgGkmfwEePLJJ4GEvQ4zU1rP7+b2/+zdd3TUVdrA8e9N75WEFAKhqIEoCEHQpQVRg4gICKgoVUWXqiAqskpREURxFQVZBBFcRRAQEJXyCkGahKaUoIL0NNLbpMzMff9IMktIm0BCfT7nzJnk1uc3wZyTx1scaNSo6EjW6j5/cHAwvXv3JjU1laVLl5aqmzt3LgAjRoy4xGhFec7GHuLLV18gLf4cj7z0L9o/PlCSikIIIYQQQgghLOQgslpyNVf+Xa927txJv379OHv2bIVtMjMzS30/Z84cunfvzpIlS1iyZAmenp60adOG++67j4EDB5Y6qy8yMtKyYm7AgAEopQgLC6N9+/Y8+uijREVFlRr777//BipeSXmhlJQUgoODS5VVtBrPw8MDoNxkZHn8/PwASEpKsqr9xXHl5+djY2NDgwYNym1Tkug7d+5ctcevTE09/4VGjx7NsmXLmDNnjiVRunnzZmJjYwkPD6dTp06XHK8oLSslmdXvT8PZzZ2eL7+BT1Bw1Z2EEEIIIYQQQtxUqpVYVErVBdoB/ly02lFrPacG4xI3mdzcXHr16kViYiJPP/00//znP2nSpAnu7u7Y2NiwYcMGoqKiyqxIbNq0KUePHmX9+vX8/PPPbN++nc2bN7Nx40amTJnCihUrSm3HnTFjBs8//zyrV69m27ZtbN++nfnz5zN//nweeOAB1q1bZ9kmbTKZAHjsscdKbbstj6OjY5kyG5vqXLpesYiICABOnDhBSkoKvr6+lzROZTc8Xwqz2VxpfU09/4XatWtHy5YtiYmJYe/evURERFgubRk+fHiNz3ezMptM/DD7PUwFBZJUFEIIIYQQQghRIasTi0qpp4DPAAWkUXSuYgkNSGJRXLKtW7eSmJhIREQEn332WZn6Y8eOVdjX3t6e7t27W7bepqWlMWXKFD788EOefvrpMivxGjZsyAsvvMALL7wAwLZt23jiiSfYsGEDCxcuZNiwYUDROYrHjh3j9ddfJzw8vKYetdqaN29OaGgoJ0+eZPHixbz44otW9/X19cXR0ZH8/HxOnjzJLbfcUqZNycrMi1dc2tvbU1hYSHZ2Nm5ubqXqCgsLiY+Pv4SnuXyjRo1i6NChfPLJJ7z11lusXr0ad3d3BgwYcFXiuRYl/n3ssm5s3rVyKWdjD/HgiLGSVBRCCCGEEEIIUaHqLCl6G3gXcNVaB2itAy94BdVSfOImkZqaChQl88rz1VdfWT2Wt7c3M2fOxMbGhri4OMvlJxVp3769ZVvtb7/9Zil/8MEHAVi+fLnVc9cGpRQTJkwAYOrUqZw4caLS9tnZ2ezfvx8AOzs72rVrB8DixYvLbb9o0SKgaKv4hUoSjUePHi3TZ8OGDRiNRqufwRoODg4AVY77xBNP4Ovry9KlS5k+fTpGo5GBAwfi7u5eo/Fcr47F7OLLCS+wd93qS+p/5vDv7FrxDeGdutCs471VdxBCCCGEEEIIcdOqTmLRA1ikta7ZbIIQ/O9Ck59//rlUIstsNjN16lTLBSQXys3NZdasWeUmDtetW4fZ8yIcZwAAIABJREFUbMbDwwMvLy8AVq1axdatW8ts4TUYDGzatAmg1DmE48ePx8PDg2nTpvHJJ5+Um/A6fPgwK1euvIQnrp5nn32WXr16kZ6eTvv27Vm7dm2ZNiaTiVWrVhEREUF0dLSlfOzYsUDRLdcXf46zZs1i586deHp68swzz5Sq69KlC1CUzCwoKLCUHz58mFGjRtXYs5UoSWTGxlZ+m7qTkxPPPvssBoOB2bNnA7IN+kINW7bmlrb/YMvi+dVOLuZmZvDD7PfwCgjk3qHP11KEQgghhBBCCCFuFNU5Y/G/wEPA7FqKRdyghg8fbrmwozyrVq2iVatWdO/ene+//54777yTzp074+npSUxMDKdPn+bll1/m3XffLdWvoKCAcePG8fLLL3PHHXdwyy23YGNjw/Hjx9mzZw9KKWbMmIG9vT0A0dHRfPjhh/j5+dGyZUv8/PzIyMhgx44dpKamEhYWxnPPPWcZPyQkhO+++44+ffowcuRI3n77bcLDw/H39yc9PZ2DBw9y5swZHnvsMXr37l07H14xpRTffPMNo0ePZt68efTo0YOgoCAiIiJwd3cnJSWF3bt3k5aWhqOjIw0bNrT0feihh3jllVeYMWMGHTt2pEOHDgQFBXHw4EEOHTqEk5MTX375JXXr1i0154QJE1i+fDlr167ltttuIyIigoSEBGJiYujXrx9ms5lTp07V2DP26tWLRYsWMX78eDZu3Ii/vz9QlOC97bbbSrUdPnw4M2fOxGQyERkZSbNmzWosjuudrZ0dD41+mXUfvcuWxfMBTcRDPavsp7Vm/dx/Y8jKpNerk3Fwcq79YIUQQgghhBBCXNeqk1gcC3ynlOoCHAQKL6zUWk+tycDEjaOqFWj5+fkArFixgg8++IAlS5awZcsW3NzcuOeee/jqq68wGAxlEotubm7MnTuXLVu2cODAAdavX09hYSHBwcH079+f0aNH07ZtW0v7wYMH4+TkxLZt2zh06BDJycl4eXnRpEkTnnjiCZ5++uky22k7d+7M4cOHmT17NuvWrWPXrl0UFhYSEBBAo0aNGD58OH379q2hT6py9vb2zJ07l+eff57PPvuMLVu2sHXrVnJycvD09OT2228nKiqKQYMGUa9evVJ9p0+fTvv27fn444+JiYlhx44d+Pv7M2DAAF599dVyE3ONGzdm+/btTJw4ka1bt7Ju3TqaNGnCzJkzGTVqVKnkZU3o0aMHc+bMYd68eWzatAmDwQDAU089VSaxGBISQlhYGIcPH2bEiBE1GseNoCS5+MNHM9my+DO01rTu3qvSPvt+WM3f+2K4d8hz+Ic2ukKRCiGEEEIIIYS4nqmLb9mtsKFSo4APgWQgiYsub9FaN6/58K681q1b6z179ljVNjY2lqZNm9ZyREKIi/3222/ceeedBAUFcerUKctN3te7mv6dYjIa+WH2e/y5axudnhpK64fLX1mbcPwvvn59PI1atabHuIk1foO4EEIIIYQQQojrl1Jqr9a6dXl11flr/HVgnNb6g5oJSwghLs0bb7wBwOjRo2+YpGJtsLWzo9uolwCI/nIhQJnkYn5uLus+fBdXL28eeH6MJBWFEEIIIYQQQlitOn+R2wJraisQIYSozJo1a1i9ejUHDx4kJiaG0NBQRo4cebXDuuYVbYseD0oR/eVCNHBXcXJRa82mzz4h43wij02ajrOb3KwthBBCCCGEEMJ61bkV+nPgydoKRAghKrNv3z4WLlzI0aNH6dq1Kz/99BOurq5XO6zrgo2tLQ+Neonb7unA1i8XErNmBQCHtmzk6PZo/tH3SYLD5AIcIYQQQgghhBDVU50Viy7AM0qpKOB3yl7eMromAxNCiAtNnjyZyZMnX+0wrls2traWbdFb//s52akp/P5/66l/ewva9OxzlaMTQgghhBBCCHE9qk5isSmwv/jrsIvqrLsBRgghxFVjSS4qxb4f1+Ds4cmDI8dhY2N7tUMTQgghhBBCCHEdsjqxqLXuXJuBCCGEqH02trZ0GzmOOiENqH97C9y8fa52SEIIIYQQQgghrlNynaoQQtxkbGxtubv3Y1c7DCGEEEIIIYQQ17lKE4tKqc1Yuc1Za31vjUQkhBBCCCGEEEIIIYS45lW1YvHQBV/bUnQrdALwa3FZGyAQ+LLmQxNCCCGEEEIIIYQQQlyrKk0saq1HlXytlPoA+AIYo7XWF5T/G1C1FqEQQlyj8nNzMWRl4lHHDxtbuQBFCCGEEEIIIcTNxaYabQcCH1+YVCw2BxhQcyEJIcS1z1hQQHpiPHnZWaTFn8NsMl3tkIQQQgghhBBCiCuqOolFBdxRTnl5ZUIIccMym0ykJ8SjlMLDzx9jQYEkF4UQQgghhBBC3HSqcyv0QuAzpdQtwK7isruBl4HPazowIYS4FmmtyUhKxGQsxDswGAdnZ2xt7UhPjCctPg7vwCDZFi2EEEIIIYQQ4qZQncTiy0ASMAaYVlwWD0wH3q/huIQQ4pqUk5ZKfm4OHnX8cXB2BsDR1RXPugFkJCaQlhCHd4AkF4UQQgghhBBC3Pis3gqttTZrrd/VWgcDXoCX1jpYa/0u4FJrEYrrVmhoKEoplFK8+uqrlbZ96qmnLG0jIyOvSHyDBw9GKcWiRYuuyHy1LSkpialTp9K+fXv8/f2xt7fH09OTli1bMmrUKHbv3n21Q7zu5WVnk52WirOHB84eHqXqnFzd8KwbgDE/n7SEOMxm2RYthBBCCCGEEOLGVp0zFi201pla60ylVHul1CKKVi4KUaElS5ZgquD8uczMTFauXHmFI7qxLFy4kIYNGzJp0iR+++03mjdvTt++fenYsSNpaWl8/PHHtG3blvHjx1/tUKtt8uTJKKWYPHnyVY2jMD+fjPOJ2Ds54eHrh1KqTBsnVzc8/QMozM8jPT4es9l8FSIVQgghhBBCCCGujGonFpVS/kqp8Uqpo8AmwB8YVeORiRtG69atiYuLY+PGjeXWL126FIPBwF133XWFI7sxfPzxxzz99NMUFhby3nvvkZyczKZNm/jqq69Yu3YtJ0+eZOfOndx777389ddfVzvc65LZZCI9MR5lo/CqG4iyqfhXp5ObG17+ARTkG0hPiJPkohBCCCGEEEKIG5ZViUVVpJtSahVwGngEaAK001p301rL5S2iQoMHDwaocMvxokWLsLW1ZcCAAVcuqBtEbGwsY8eOBeCbb75h3LhxODo6lml39913s2nTJsaNG3elQ7zuaa1JT0rAbDTiVTcQW7uqj6Z1cnPH0z+AAoMkF4UQQgghhBBC3LiqTCwqpd6kKJn4IXAAaKa1bg9owFC74YkbQdu2bWnatCmrV68mPT29VN0ff/zBzp07iYqKIjAwsMIxNm3axIgRI2jRogW+vr44OjrSoEEDBg0aRGxsbIX9cnJymDhxIo0bN8bR0ZGQkBCGDx9OSkpKlXGvX7+eHj16ULduXRwcHAgMDOSJJ57g4MGDZdqePHkSpRShoaEYjUbee+89WrRogaurK15eXpZ2v/76K+PHj6d169aWcYOCgujTpw+7du0qM25VZsyYQWFhIT169KBXr16VtlVK0aFDhzLlhw8fZuDAgYSEhODo6EidOnXo1q0bP/74Y7njREZGopRiy5Yt5dZXdHblheXHjh2jf//+1K1bF0dHR8LCwpgxY0aZBJxSiilTpgAwZcoUyzmcJVujT548ia2tLT4+PhgM5f86KiwsJDAwEKUUhw8frvQzKk92agoFubm41/HDwcnZ6n7OklwUQgghhBBCCHGDs2bF4gRgERCmtZ6itf67dkMSN6IhQ4aQl5fH119/Xaq8JPk0ZMiQSvs///zzLFiwADs7Ozp27Ei3bt1wcHBg8eLFtG7dmm3btpXpk5OTQ+fOnZk2bRrJyck8+OCDtGnThqVLl9K2bVvS0tIqnG/MmDF07dqVH3/8kcaNG9OzZ08CAwNZunQpbdq04Ycffii3n9aaRx99lIkTJ+Lv70+PHj0IDw+31E+cOJEPPviAwsJC2rRpQ48ePfD19WXFihW0b9+e5cuXV/o5XDzX2rVrARg0aJDV/S60Zs0aIiIiWLJkCZ6enjz66KM0a9aM9evX061bN15//fVLGrcyBw4cICIigl9//ZXOnTvTrl07jh8/zquvvsqYMWNKtR00aBAtWrQAoEWLFgwaNMjyuvPOOwkNDeXhhx8mLS2tzL+tEitWrCAhIYHIyMhSPwtrGLKzyElPw8XDExcPz2o/q7O7O57+dSkwGMjLzqp2fyGEEEIIIYQQ4pqmta70BYwFDlF0QcsHQMvi8kKKVi9WOcb19IqIiNDWOnLkiNVtb0YNGjTQgI6JidHx8fHa1tZWt2nTxlJvNBp1UFCQ9vHx0fn5+Xr58uUa0J06dSoz1qpVq3RaWlqpMrPZrD/99FMN6KZNm2qz2VyqfuzYsRrQd9xxh05MTLSUp6Wl6X/84x+aolW3+vPPPy/Vb+7cuRrQ4eHhOjY2tkwcdnZ22svLS6emplrKT5w4YRmvfv36+q+//ir3M/nxxx91QkJCmfI1a9Zoe3t77ePjo3Nycsrte7Hjx49b5jx9+rRVfS4UHx+vPTw8NKDff//9UnWbN2/WLi4uGtA//fRTqbpOnTppQG/evLnccQcNGlTu51pSDuhJkyZpk8lkqYuOjtY2NjbaxsamzLNMmjTJ0qc8mzZt0oBu3bp1ufUdOnTQgF6+fHm59eUxm806PzdXJxz/S6ecPaPNZlPVnSpRkGco8++zPPI7RQghhBBCCCHEtQbYoyvIo1V5WJjWehYwSyl1D/A0EK2UOgMooC5w5HKTmzei1/86y6Hs62un+O1uzrx5S71aGTsgIICuXbuybt06YmNjadq0KRs2bCAuLo6RI0fi4OBQaf+ePXuWKVNK8dxzz7F48WJ27NjBkSNHLCvSDAYD//nPfwD46KOP8Pf3t/Tz8vJi7ty53HnnnSXJcwuTycTUqVMBWLZsGWFhYWXieO655/jkk0/48ssvGTWq7L1F77zzDk2aNCn3Obp27Vpu+cMPP0zfvn356quv2Lx5Mw899FBFH4XF+fPnLV9f+HzWmj9/PpmZmbRr185yTmOJyMhIRo0axYwZM3jvvfeIioqq9vgVueuuu5g0aVKpW5U7duxIVFQUP/74I5s3b2bgwIFWj9elSxeaNWvGnj172L17N23atLHUHTx4kF9++YWgoKBy/w1prTEbjRgLCjAW5he9F7+01tja2eFZNwClqn3PVSn2jk6X1V8IIYQQQgghhLgWWf3XstZ6p9b6GSCQopWLMcD/KaX2KKVeqa0AxY3j4ktcSt5Lyqty9uxZ5s2bx4svvsjTTz/N4MGDGTx4MAkJCQD8+eeflrZ79+4lOzub4OBgIiMjy4zVvHlzmjdvXqb8wIEDxMfHEx4eTrNmzcqNo1OnTgDs3Lmz3PqqzjpMTk5m0aJFvPTSSzzzzDOW5zh06FCZ56hN0dHRQMXbqIcOHQrAtm3bMJlMNTZvt27dSiUVS5QkcePi4qo95siRIwGYM2dOqfKS74cNG4Zd8aUrZrOZrOTzpJw7Q9LJvzl/+iRpCXFkpaRQYDBgY2uLi6cnnn518QkOseqyFiGEEEIIIYQQ4mZU7b+YtdY5wGfAZ0qpcOAZirZLz6jh2K5rtbXy73pWcp7gkiVLGD9+PKtXr+aOO+4gIiKiyr6TJk1i2rRpGI3GCttkZmZavj579iwADRs2rLB9aGgov/32W6myv/8uOkL08OHD5Sa/LnThisES/v7+ODtXfMHHvHnzGDt2LLm5uRW2ufA5KuPn52f5OikpiZCQEKv6lTh37hxQ8WcUGhqKjY0NeXl5pKSkXNKqyPLUr1+/3HIPDw8A8vLyyq3XWmM2m7GxKfv/QwYOHMiECRP45ptvmDVrFj4+PmRmZvLll19ib2/PsGHDADAZjaQnxFGYn4+DszPO7u7YOThiZ++AnYMDNra2NfKMQgghhBBCCCHEzeCyluJorQ8DLyqlXq6heMQNzMHBgf79+zN79myGDBlCfn5+lZe2QNHlG1OnTsXd3Z1Zs2Zx7733EhgYaEng9e/fn6+//rrMtuZLUbIyLzg4mPvuu6/SthdvkwYqTSrGxMTwz3/+Ezs7O2bOnMnDDz9MvXr1cHFxQSnFa6+9xjvvvGP1c4SGhuLj40NqaioxMTHVTiyWqCqBWl1V3X5cXmKwMqbiZHJOehrnT53Ao44fzu4epdq4uroydOhQPvjgAxYuXMhLL73E4sWLyc7Opm/fvgQGBmIsyCctIR6zyYhXQBBOrq7VezAhhBBCCCGEEEKUUmViUSnlBjhqrVMuKGsKjAfcgJVa66W1F6K4kQwePJjZs2fz/fffY2dnx5NPPllln5KbkqdNm8YzzzxTpv7YsWNlyoKDgwE4efJkheOWV1eSnAsMDLRs1a4pK1asQGvN6NGjeemll8rUl/cclbGxsaF79+4sXryYL774gt69e1erf3BwMEePHuXvv/+mS5cuZepPnjyJ2WzGyckJHx8fS3nJeZjZ2dnljnvq1KlqxVEerc3k5eRgyMjAkJkBgJ2DA3YOjmQkJVKQm4t7Hb9SKwxHjBjBhx9+yKeffsrYsWOZO3eupTzfkEtGQjzYKHyC6smZh0IIIYQQQgghRA2wZunQXGBKyTdKqTrAL0B34Dbgv0qp/rUTnrjRtGrVinbt2uHr60vfvn2t2l6bmpoKUO6KvNjYWPbv31+mPCIiAldXV86ePcvWrVvL1B86dIjff/+9THmbNm3w9fVl//791U70VaWy5zh//jwbN26s9pgvv/wydnZ2rFmzhlWrVlXaVmvNtm3bLN+XnBW5ePHictt//vnnALRv395yPiH8L2l79OjRMn0SExPZt29f9R7iIgWGXM6fOklGYgImkxE3Ty8A7Byd8AkKxs3bB0NOFinnzlCQ978Lkho3bsyDDz7I8ePHee211yyX+bRp1ZL0+Dhs7OzwDQqRpKIQQgghhBBCCFFDrEks3gNcmLEYABQAt2itWwDvASNrITZxg9q2bRvJycl89dVXVrUv2XI8f/58CgoKLOVJSUkMGjSo3HMXXVxcLKsbx4wZU+o8xIyMDIYPH17ulmN7e3tef/11TCYTPXv2ZPfu3WXaFBQUsGbNmnITa9Y8R8kW3RJZWVkMHTqU9PT0ao0HEB4eznvvvQfA448/zqxZs8jPzy/Tbu/evURFRVnaAjz77LO4u7uzbds2Pvroo1Ltt27dyuzZswEYN25cqbqS1Y2ffPIJ8fHxlvLU1FQGDRpU4UrGyhQYDORlZ1m+tnd0wjswiDohDWhYfMN2bGwsSincfHzxCSo6wzQ17izZqSmWn2XJLd0zZhQd+fr0oEFkJCVi7+SET1A9bO3tqx2bEEIIIYQQQgghymdNYjEQOH7B952BFVrrjOLvvwBuqenAhCjxwgsv4Onpybp162jSpAl9+/ale/fuNG7cmOzsbHr27Fluv7feeotWrVpx4MABmjRpQq9evejTpw+NGjXi3Llz9OjRo9x+Y8aM4cUXX+Tw4cO0bduWFi1a0Lt3bx5//HE6dOiAj48PjzzySKXbrMszZMgQQkJC2LdvH40aNaJ379706tWL0NBQ9uzZY7mFubrGjBnDvHnzsLW1Zdy4cfj5+XH//ffz5JNP0qNHDxo2bEjr1q3ZuHFjqXMhAwICWLJkCY6OjowZM4bmzZvTv39/IiMj6dy5Mzk5OfzrX/+ia9eupebr168fLVu25OTJk4SHh/Pwww8TFRVFkyZNOHv2bIU/j/KYTSYyzieSGnfWcpaii6cX3oFBOLq4opQiKioKFxcXVq5cSceOHRkyZAjDR45i+74DOLu5k52WSmrcOYyFhTzwwAPcdtttALi7ufHwA/fh7O6Od2CQXMwihBBCCCGEEELUMGsSi7nAhbcctAF2XfB9HuBSk0EJcaFGjRqxf/9+Hn/8cbTWrF27ltjYWIYNG8bOnTvx9PQst5+bmxvR0dG8+uqr+Pj48MMPP7Br1y769OnDr7/+ire3d4Vzzpo1i+joaB5//HHS0tJYt24dP/30E8nJyXTv3p3//ve/dOjQoVrP4e3tzZ49exg2bBhubm6sW7eOPXv20Lt3b/bt23fJl68ADBs2jBMnTjB58mTuuOMODhw4wLJly4iOjsbLy4vRo0ezd+9epk+fXqrfI488wp49e3jqqadISUnh22+/5eDBgzzwwAOsW7eON998s8xcDg4ObNq0iX/+8584Ozuzfv16jh49yqBBg9ixY0eFP4+L5efmknL2NIbMTFy9vHEp3vJ8cQIwICCA77//nsjISH7//Xe++OILFixYwIEDB/D0D8DTvy7GgnxSzp4mLyfbsqKyT89HCAipj4dfXZSq3oUxQgghhBBCCCGEqJqq6gZapdQm4IDW+iWlVCTwf0A9rXV8cf39wByt9Q2xarF169Z6z549VrWNjY2ladOmtRyREDcWs9lEdkoKuZkZ2Dk44OHnj4NTxbdpW8NYWEhGUgI5mZm07hjJ+eRk9u7+lVZ3tamhqK8M+Z0ihBBCCCGEEOJao5Taq7VuXV5dlbdCA28CPyql+gF+wKKSpGKxXsC2cnsKIa4rWmsK8gzkpKfh4OiEm49vjY6fb8gl83wSpsJCXL28cPX2xcbm8lcT2tnb4xNUj/mL3uZ8cjIP3H//dZdUFEIIIYQQQgghrjdVJha11tFKqdbA/UACsPyiJgeAsjdcCCGuKwWGXLLTUikwGFA2NhTk5qJsbHH18rrssc1mM9mpyeRmZGBbnAR0cL68VYol/vjjD2bOnElcXBzr16/H3t6ed2fOrJGxhRBCCCGEEEIIUTFrViyitT4CHKmg7j81GpEQ4ooqMBjITkuhwGDAxs4O9zp+OLt7kJmUSFbKeWztbHFyc7+s8TPOJ2IqLMTF0ws3n5pZpVgiPj6eBQsW4OjoSIsWLXjrrbdo0aJFjY0vhBBCCCGEEEKI8lWZWFRK3QN8BHTRWmdeVOcJbARGaq1l1aIQl0BrjVLqis9bkGcoWqGYm4uNrS3uvn44e3hYkn4e/nUxxZvISErExtau2isMtdbkpKeRnZpS46sULxQZGUlVZ8UKIYQQQgghhBCi5lmzbGgssOLipCKA1joD+BZ4qaYDE+JmUGAwcP7UCXLS067cnHl5pMWfI/XcWYz5+bj71qFO/VBcvbxKrSS0sbHBOyAQW3t70hPjMBbkWz2H2WwmIymR7NQUnNzc8a1Xv1aSikIIIYQQQgghhLh6rEkstga+r6T+B+CumglHiJtHgcFAWkIc2mwmKyWZAoOhdufLMxQnFM9QmJ+Pu69vcULRu8KtyTa2tngFBIFSpMXHYTIaq5zHZDSSFneOvOws3Hx88fSvW6Nbn4UQQgghhBBCCHFtsOav/UAgp5L63OI2QggrlSQVbe3s8K1XH1t7ezKSEjCbTLUyV2rxCsXC/HzcfHypU78Brl4+ViX87Ozt8Q4Iwmw2k5YQV2mMhXl5pJ47g7GwAK+AQNy8fa7KNm8hhBBCCCGEEELUPmsSi0lAWCX1TYvbCCGscGFS0TswGDsHB7zqBmA2mcg4n1hj5wUWGHJJjTtLalzpLc9u3j7Y2NhWayx7Rye86gZgKiggPTEBrc1l2hiys0iNOwuAT1A9nFzdauQ5hBBCCCGEEEIIcW2yJrG4EXhdlbPsSCllA7xW3EYIUYWLk4q2dkX3J9k7OuHmU4f8nBxyMzMueXytNfmWhOI5jIUFF5yhWPGWZ2s4urji4edPgSGXzPNJlgSo1prs1BQyEhOwc3TCJzgEe0fHS55HCCGEEEIIIYQQ14cqb4UG3gb2ATFKqZnA0eLypsB4oDEwsHbCE+LGUVFSsYSLpycFhlyyU5JxcHLC3tGpWuMX5ueRlZxMQZ4BWzs73Ov44ezuUaPnGzq7e2AyFpKdmoqNnR2uXj5kJiWSl5ONs7sHHnX8UHKeohBCCCGEEEIIcVOoMrGotf5bKXUfsAj4GijZp6mAI8D9WuvjtRahEDeAqpKKAEopPPz9ST17hozEBHzqhVi1ZVlrjSErk6zk8yhbWzyKE4q1leBz9fLBZDSSk5ZGXnY2psJC3H3r4OLpJecpCiGEEEIIIYQQNxFrViyitd4D3K6UuhO4haKk4p9a6wO1GZwQNwJrkoolbG3t8PQPIDXuLFnJ5/Hwq1tpss5sNpOVnIQhKwsHFxc8/etia2vVf9aXTCmFRx1/zCYTBQYD3oFBOLq41uqcQgghhBBCCCGEuPZUKwNRnEiskWSiUqo/8E+gOWBL0Rbrz4G5urybIcofwwa4G+gG3EvR9mw3IBXYC/xHa/1dTcQrxKWoTlKxhIOzM27ePmSnpeLg7IKzu0e57YwFBaQnxmMsKMDN2wfXK3gDs1IKr7qBaK1rdKu1EEIIIYQQQgghrh9VZjmUUmOtGUhrPcvaSZVSnwDDgTzg/4BCoAvwMdBFKdXHyuRiI2B78depwG4grbj8QeBBpdQiYKiuqat2hbCCyWjEkJVJTnpatZKKJVy9fSjIM5CZnIS9oxN2Dg6l6vOys8g4n4RS6qqtGFRKydZnIYQQQgghhBDiJmbNUqNRVrxGWjuhUupRipKKCUBzrXV3rXUvirZYxwK9ise0hgZ+piiJ6K+1jtJaP661bgNEAjnA4OKXuMJCQ0MtyadXX3210rZPPfWUpW1kZOSVCRBYtGgRSikGDx582WNprcnPzSE9IY7zp0+QnZqCvaNTtZOKUJS08/QPQCkb0hMT0GazZY7M5POkJyZg5+CAb3BIjScVDx48yOjRo2nevDne3t7Y29tTp04dOnTowJQpUzh16lSNzieEEEIIIYQQQojrU5WJRa11Qytejaox54Ti91e01n9dME8iRVujAV4t3uZcVWzHtdZdtNY/aa1NF9VFA9OLv32qGvGJWrBkyRJMJlO5dZmZmaxcufIKR1QGvmJtAAAgAElEQVRzTIWFZKemkHz6JGnxcRTk5eHq6U2dkAb4BFU/qVjC1s4OT/+6GAvyyUpJxmQsJDXuLLkZ6bh4ehWNbW9fY89RWFjIyJEjadGiBbNnzyY5OZl27drRt29fWrVqxaFDh5g8eTK33norq1atqrF5r5TIyEiUUmzZsuVqhyKEEEIIIYQQQtwQLvuWB6WUK/CE1vozK9rWAyKAAmD5xfVa62il1DkgmKKzE3dcZnj7i9/rXeY44jK0bt2aPXv2sHHjRrp27VqmfunSpRgMBu666y5iYmJqLY4CQy7Z6Wk4u7nj5OaOUopevXpx99134+npWa2xSlYnGjIzyc/NAcDBxQV33zo4urpiRV7cKo4urrh6eZGTnk5edhYa8KwbgLObe42Mf6Enn3yS5cuXExgYyKeffkqPHj1K1RuNRlatWsVrr70mqxaFEEIIIYQQQghh1Vbociml7lFKfUbRluZ/W9mtZfH7Ya21oYI2MRe1vRy3FL/H18BY4hKVbDNetGhRufWLFi3C1taWAQMG1Mr8WmtyMtJJjT9HocFARlIiKefOkJ+bg4eHB2FhYQQGBlo1ltlsJicjneTTJ0lPiKewIB9Xbx/q1A/FJzC4OGFZs5eZuPn44uDkjI2dHb7BIbWSVPzss89Yvnw5Xl5ebN++vUxSEcDOzo6+ffuyf/9+OnXqVOMxCCGEEEIIIYQQ4vpSrQyIUspXKTVWKXUE2Ab4A08Xv1ujYfF7ZcudTl/U9pIopVyA0cXfrricscTladu2LU2bNmX16tWkp6eXqvvjjz/YuXMnUVFRlSb3Nm3axIgRI2jRogW+vr44OjrSoEEDBg0aRGxsbLl9Bg8ejFKKubM/4tdtv/DcmBdp8Y/2BN8axqfzPyMtPo5P/v1BuWcsbtmyxXLeY05ODi+//DINQ0Nxdnbm1rCmvDZ5KiZ7B/zqh+Lu44vdRVuSd+zYwaOPPkpAQAAODg4EBATQp08fdu3aVW6s6enpvPbaa4SHh+Pi4oKTkxP16tUjMjKS6dNn4B0UjG+9+pZLXFasWMHQoUMJDw/Hy8sLJycnmjRpwogRIzhz5kxVP5JStNZMmzYNgDfeeIOGDSv/T8/NzY2WLcvm/detW8eDDz5InTp1cHBwICQkpNKfT1WXv5Sc0Xny5MkKyzdu3EiXLl3w9PTExcWFu+++mzVr1pRqX/KzjI6OBqBz586WuUu2Ri9ZsgSlVLkrakscPHgQpRTBwcEYjcYK2wkhhBBCCCGEEDcLqxKLSqkopdRy4CzQA5gFmIFXtdbLtNa5Vs7nVvyeU0mb7OL3y12WNYei5OQR4D+XOZa4TEOGDCEvL4+vv/66VHnJKsYhQ4ZU2v/5559nwYIF2NnZ0bFjR7p164aDgwOLFy+mdevWbNu2rUwfc/GFJ9u3b6fbo305dCSWyMhIunbtil9QEO51/DCbihJEBQYDxoKCMmPk5+cT2akjn3zyCbc2bkzX+++jwGjks0WL6Hzf/SQlJZXpM3fuXDp06MDKlSupX78+ffr0oX79+qxYsYJ27doxf/78Uu1zc3Np164d77zzDsnJydx333306tWLJk2acOTIEaZMmVImCffYY4+xbNkyXF1due+++7j//vvJz89nzpw5tGrVij///LPSz/NCv//+OydOnEApxcCBA63ud6EJEybQvXt3NmzYQHh4OH369MHT05PFixfTqlUr1q1bd0njVmbBggVERUWRnZ1Nt27dCAsL49dff6Vnz558++23lnYBAQEMGjSIunXrAhAVFcWgQYMsr4CAAPr164e/vz8bNmzg+PHj5c73ySefADBs2DDsLvHcTCGEEEIIIYQQ4oaita70BZwEjgITgdALyguBZlX1v2is1yi6yfnLStq8XdxmXnXGvmiM14vHSAfCrWg/DNgD7Klfv7621pEjR6xuezNq0KCBBnRMTIyOj4/Xtra2uk2bNpZ6o9Gog4KCtI+Pj87Pz9fLly/XgO7UqVOZsVatWqXT0tJKlZnNZv3pp59qQDdt2lSbzWZLXV5Ojn7s0d66+N+BnjhxojaZTGXGXbBggQZ0v0d76/jjf+qMpERtLCzUG9evt/Rt3LChPvLbfl2Yn6+11jozM1N36dJFA7pv376lxjtw4IC2s7PTNjY2etmyZaXqvv76a21jY6Pt7e31wYMHLeVffPGFBvRDDz2kCwsLS/UxGo36//7v/8rE/c033+icnJxSZYWFhfpf//qXBnTXrl3L9KlIyWfQqFEjq/tcaN26dRrQrq6uOjo6ulTdu+++qwHt6empExMTS9WVfL4VKfn3c+LEiXLLHRwc9I8//liq7s0339SAbtKkSZnxOnXqpAG9efPmcucr+ezGjRtXpi4jI0O7ublpe3t7HRcXV2HMl0t+pwghhBBCCCGEuNYAe3QFOTVrlt0EAKuBA0D19liWVbIa0bWSNiWrGrMuZQKl1FhgavFcD2qtD1fVR2v9H4pXNbZu3VpfyrwXm7L2MEfiMmtiqCumWZAHkx4Ov+xxtNYU5hlKkrZA0aqxrl27sm7dOmJjY2natCkbNmwgLi6OkSNH4lC8xbciPXv2LFOmlOK5555j8eLF7NixgyNHjtCsWTNyM9LISkmB4hV+YWFhTJkyBRubsgt0S8qcXFxx8fDEkJmJISuTzPP/W4n4/gcf0LT5nZbv3d3d+fTTTwkLC2PFihWcOXOGkJAQAD766COMRiP9+/enb9++peZ6/PHH+e677/jmm2/48MMPLSsXExMTAbjvvvvKrISztbXl3nvvLRN3v379ypTZ2dnx5ptvsnDhQjZs2EBWVhbu7lUv/D1//jwA/v7WnmhQ2vvvvw/AmDFj6NixY6m68ePHs3LlSnbt2sX8+fOZOHHiJc1RnlGjRpXZuvzyyy/z3nvvcezYMU6fPk39+vWtHu/5559n+vTpfP7557z11ls4OTlZ6r744guys7Pp27ev1edxCiGEEEIIIYQQNzprtkLXp2g133tAnFLqQ6XUXRStNqquk8XvDSppE3JRW6sppUYB7wMGoLvWemd1xxCXzmQ0kp2WSvKZU6TGncNsMgFY3i++xKXk/eLzDSty9uxZ5s2bx4svvsjTTz/N4MGDGTx4MAkJCQAcPXqUjKQEslJScHJzw9GlKH/9yCOPYGtrW+nYysYGjzr++IbUx9nDA+fiW6K9vLx45JFHyrRv0qQJd999N2azma1bt1rKS87xq+iZhg4dChSd+1firrvuAmDGjBl8+eWXZc6hrMiff/7JRx99xOjRoxk6dKjl8zAajZjNZo4dO2bVOJfDaDSyfft2oOJnLtnmfuEz14Tu3buXKXNwcKBRo0YAxMXFVWu84OBgevfuTWpqKkuXLi1VN3fuXABGjBhxidEKIYQQQgghhBA3nipXLGqtk4CZwEylVAdgKLC5uO9zSqn/WLMqsNj+4vdwpZSzLv9m6LsuamsVpdQI4CMgD+ihtY6uTv+aVhMr/64HWmvyc3MwZGWSn5sDGhycnXHz9sHGtihvnXE+kcL8fHr06IGvry9Llixh/PjxrF69mjvuuIOIiIgq55k0aRLTpk2r9NKM+FMnybuzOe6+dXDx9LKcSdigQWV57NLs7B3wqONvuXk5NDS0wrahoaFs376ds2fPWsrOnTsHUOEFKCVJr5J2AJGRkZaVdgMGDEApRVhYGO3bt+fRRx8lKiqq1BhGo5Hhw4fz2WeflVoVerHMTOtWzPr5+QGUe15kVVJSUsjPz8fGxqbCz7m8Z64JFa1G9PDwACAvL6/aY44ePZply5YxZ84cS6J08+bNxMbGEh4eLrdhCyGEEEIIIYQQF6jWrdBa61+01kOAQGA4cA9wUClV/rWvZfufAfYBDkDfi+uVUp2AekACYPVqQ6XU88DHQD7QU2u9ydq+4n+MhYXkpKeRk55KbmYGednZ5BtyKczPw1hYiNlksiSyjAUFZKUkc/70CdIT4inMz8PV05s6IQ3wCaqHs7sHShX/89Ka1HNnMOXn079/f+Lj4xkyZAj5+flVXtoCRTcgT506FWdnZ+bPn8/x48fJyckhPzeHjPOJ9OrxMABmswnvwGBcvbxLXXTi7Oxc8x9WFSq77bg8M2bM4NixY3zwwQf07t2btLQ05s+fT9euXYmKiiqVUC3ZRh0YGMjSpUs5ffo0eXl5lvMN7rnnHoBKk44XKknsnjhxgpSUlGrFfaHqPnNVSi7fqUh5W9svV7t27WjZsiUxMTHs3bsX+N+lLcOHD6/x+YQQQgghhBBCiOvZJf1lrrXO0lp/qrVuA9wJbKhG93eK32copZqUFCql/Cm6yRlgutbafEHdSKXUUaXU4osHU0o9W9wvH+iltV5fzce5qZnNZgxZmaTGnSX59EmyUpLJSkkh83wS6YnxpMWdI+XsGZJPnyTp5N8k/n2MpJN/k3zmFDkZadg7OuEVEIhf/Ya4+9bBrpyzEj386mLv6ERGUgJ9i7cVf//999jZ2fHkk09WGePy5csBePvttxnQvz913N3ITkogNe4chsxMTp0uOvrTzacOji4uNfjpwMmTJ6usCw4OtpSVfP3333+X26ek/MI+JRo2bMgLL7zAt99+S3x8PL/88gv16tVjw4YNLFy40NKu5POYN28ejz32GCEhITg6Olrqq7sFunnz5oSGhqK1ZvHiMv+JVcrX1xdHR0fMZnOFn1VFz2xvbw9AdnZ2mT6FhYXEx8dXK5aaMmrUKKAooRgXF8fq1atxd3dnwIABVyUeIYQQQgghhBDiWnXZS3601r9rrcdUo/23wFyKLoU5qJRaq5RaCfwFNAO+o2j14YXqALdRdN6jhVLqTmAeoIATwGNKqUXlvN671Oe7EWmtyTfkkpGUwPlTJ8hISsRkNOLm44tf/VD8GzbGr34ovvXq4xMUjFdAIB5+/rj71sHV2wcnVzfcfX3xq98Q74AgnFzdKl2tZmtnh3dQEC6entwSWp+2d92Fr68vffv2rfLCELPJRHLx5SIejg6kxZ/DkJ2Fg7MzXnUDSDbk8/uhQ0DtrGBLT0/nhx9+KFN+/Phxdu3ahVKq1IUlJVtlK0rQff7550DR9ueqtG/f3rId97fffrOUp6amAlgujLnQxo0bLZexWEspxYQJEwCYOnUqJ06cqLR9dnY2+/cXnVRgZ2dHu3btgIqfueQszYufuSTRePTo0TJ9NmzYUOm290tRckFQVeM+8cQT+Pr6snTpUqZPn47RaGTgwIFWXYQjhBBCCCGEEELcTKrMxCil1ljxWl2dSbXWw4EnKdoW3QmIAo4BI4FHtdYmK4fyoiipCBAGDKrg1ac68d2ojIUFZKemkHzmFGlx58jLycHJzQ2foHrUCWmAm7cPtvb22NjYYGtvj72jIw7OLji5uuHi4YmrlzfuPr54+Pnj6uWDrZ01l4oXUarochRP/7qsXvoVsfv28MXnC8ttazaZyEw+T8rZ0ySd/JvQekUJqK+Xf4uLjy9+DRriVTeQzFwDQ4YMqfEE1MXGjRtXavVcdnY2w4cPx2Qy0atXr1Jn/Y0ePRo7Ozu+/vprVq1aVWqc5cuXs2zZMuzt7Rk9erSlfNWqVWzdurXM1l+DwcCmTUW7+i88vzAsLAwoulDkwj7Hjx/n+eefv6RnfPbZZ+nVqxfp6em0b9+etWvXlmljMplYtWoVERERlktqAMaOHQvAv//9b8tFLiVmzZrFzp078fT05JlnnilV16VLF6AomVlQUGApP3z4sGXVYE0qSWTGxlZ+coOTkxPPPvssBoOB2bNnA7INWgghhBBCCCGEKI81maHKDl1zBHoWv1eL1vor4Csr204GJpdTvoX/JRZFJXIzM8g8X3Q5h4OLC24+vji6uNbKKr/KOLt7YGfvQHpiPKnnzuJexw8bG1sK8gxkJhettDMWFGDIzMDeyQk3bx9eeuUVvl29hvWbNnF7iztp27YtBoOB6OhoQkJC6NmzJ999912txHvPPfdgMpm49dZbuffee3FwcCA6Oprz58/TuHFjy/l7JVq0aMGHH37IyJEj6d27N23btqVx48YcO3aM3bt3Y2Njw8cff8wdd9xh6RMdHc2HH36In58fLVu2xM/Pj4yMDHbs2EFqaiphYWE899xzlvYTJkzgp59+Yt68eWzevJmWLVuSmppKdHQ099xzDwEBAezYsaNaz6mU4ptvvmH06NHMmzePHj16EBQUREREBO7u7qSkpLB7927S0tJwdHQsdTnNQw89xCuvvMKMGTPo2LEjHTp0ICgoiIMHD3Lo0CGcnJz48ssvqVu3bqk5J0yYwPLly1m7di233XYbERERJCQkEBMTQ79+/TCbzZw6dapaz1GZXr16sWjRIsaPH8/GjRstq2XHjx/PbbfdVqrt8OHDmTlzJiaTicjISJo1a1ZjcQghhBBCCCGEEDeKKrNKWush5b2A/6Po8pYMYERtByouj6NzUTLRr0EoPoHBOLu5X/GkYgl7Jyd8gkOwd3SynOVoyMywxGPv6Ih/aCN8gurh5uNLWLNw9u/fz+OPP47WmrVr1xIbG8uwYcMsq+Fqi4ODAz///DPPPfccv//+O2vWrMHBwYERI0awa9cuAgICyvQZPnw4v/zyC7169eLEiRMsW7aMkydP0rt3b7Zt28awYcNKtR88eDCvvPIKt956K4cOHWL58uXs3r2bJk2a8MEHH7B79+5Sz3jPPfcQExPDQw89REZGBqtXr+bs2bNMnDiR9evXW84urC57e3vmzp3L/v37GTlyJD4+PmzdupVly5axZ88ebr/9dt566y2OHTvGI8VnZZaYPn06a9eu5f777+fgwYN8++23pKWlMWDAAPbu3Uv37t3LzNe4cWO2b99Ojx49SE9PZ926dWRkZDBz5sxqn/VojR49ejBnzhzCwsLYtGkTCxYsYMGCBeWe5RgSEmJZGTpihPx6E0IIIYQQQoibkTabMdXyLsnrnbL25lhLB6UeAKYDjYH3gfe11jm1ENtV0bp1a71nzx6r2sbGxtK0adNajujGpbUmPycbGzs77B0d/3eL9DVgy5YtdO7cmU6dOrFly5arHY64wn777TfuvPNOgoKCOHXqFHbV2PZ/OeR3ihBCCCGEEEJcfalxZzm0ZROxW3/GztGRfpPewd2nztUO66pRSu3VWrcur87qv5aVUi2BmUAHYD7QVWudVDMhipuRUgonN7kQQ1x73njjDeB/Z2YKIYQQQgghhLix5efm8MfOXzi0ZRPxfx5F2dgQ2qIV544eZvnUiTw2eTquXt5XO8xrTpV/MSulQoG3gX7ACqCZ1vp47YYlhBBX1po1a1i9ejUHDx4kJiaG0NBQRo4cebXDEkIIIYQQQghRS7TZzOnDv3N4yyb+2r0TY0E+vvXq0/GpoTTr0BlXL2/OHj3MymmTWP7mRPpNegcXj9o7ju16ZM1SnD8AI0XbnncDLZRSLS5upLVeWcOxCSHEFbNv3z4WLlyIu7s7Xbt25d///jeurq5XOywhhBBCCCGEEDUsPzeHfT+u4dDmjWSeT8LRxZXwTvcSHnkfAY1vRan/3RNcLyycni+/warpk/n2rX/R941pOMvuS4sqz1hUSpmtGEdrrW1rJqSrS85YFEJcLfI7RQghhBBCCCFqT2FBPr+tX8evq78lLyuTBs1bcnvkfTS+627sHRwr7Xvyt3189+5U6tQPpe/rb+PocvMsRLmsMxa11tfOjRpCCCGEEEIIIYQQQlSD2WTi0JZN7Pz2K7JTUwht0Yr2jw+kbqMmVo8R2qIVD499jTXvT2PFtDfoM/FNHJxdajHq60ONJw2VUuuUUoE1Pa4QQgghhBBCCCGEENbSZjN/7NzGonHD2fif2bj71qHfG9N49LWp1Uoqlmgc0YbuL7xMwvG/WDl9CoV5ebUQ9fWlNq477Qg418K4QgghhBBCCCGEEEJUSmvNqd/28cvSxSSdOI5vvfo88tK/aNy6banzEy/FLW3+QbdRL/HDR+/x3cyp9HxlUpXbqG9ktZFYFEIIIYQQQgghhBCiRhkLCshISiA/N5cCQy4FeQYKci96N+Ry/vQp4v44godfXboOf5GmHSKxsam5q0HC/tERs9HIj3M+YM3703jkpX9hZ29fY+NfTySxKIQQQgghhBBCCCGuOYbsLOL+iOXc0cOcO3qExL//wmQ0Vtje1t4eBydnnN096Dz4OZrf17XWEn7NOt6LsbCQjf+ZzdoP3qHH2AnY2t18yUVJLAohhBBCCCGEEEKIqy4zOYlzR49YEonJZ04BYGNrR0DjW2jV7RH8Qhvh5OKKg7MLDs7OF7w7X/HEXvMuUZiMhfzy30WknD2Df2ijKzr/tUASi0IIIYQQQgghhBDiqjAZjRzdHk3MmhWknD0NgIOzM0G3NeO2f3SkXlg4dZvccs2eY9gyqju3tPkHbt4+VzuUq0ISi0IIIYQQQgghhBDiijIWFHA4ehO7V68g83wifvVD6Tx4GPWa3k6d+g1q9EzE2nazJhXBysSiUsoe+BJ4TWt9vIrm04DUyw1MCCGEEEIIIYQQQtxYCvIM/L7pJ/Z8v4qctFQCm9zGvUOeo1Gruy77xmZx5VmVWNRaFyqlHgAmWNH2ncuOSgghhBBCCCGEEELcMPJystn/01r2/biWvKxMQsKb8+CIsdS/vYUkFK9jNtVouxLoXVuBiBtPaGgoSimUUrz66quVtn3qqacsbSMjI69IfIMHD0YpxaJFi67IfJfqhx9+YMCAATRp0gQ3NzccHR2pV68eDz30EJ9++ilZWVlXO0QhhBBCCCGEEKJc2Wmp/PLVIuaPGMKOZf8l6JbbeOLNmfR7YxoN7rhTkorXueqcsXga+JdSqgOwB8i5sFJrPasmAxM3liVLlvD2229ja1v2jITMzExWrlx5FaK6tiUlJdGvXz+io6MB/p+9+46PqkofP/6505JJMpM2k14pkQAJJQECCdKUIhbUFVwVBcsiKOpXf6KufnV3XXcXy7oLCrrwRRRdsAsiVSA0ARNAamgJCaT33qac3x8TIjEBEkgI5bxfr3ndmXvvufe5N3pJnjnnPERGRjJ69Gh0Oh2ZmZn8+OOPrFq1iv/93/8lOTmZ0NDQTo64bc784yGE6ORIJEmSJEmSJEmS2l9tZSWnDv5CcXYW0TeNxcXo3tkhXVYFGSfZ/cN3pGzbjN1uI2JQPIPunHhdVk6+lrUlsTgFKAGiG15nE4BMLEotio2NJTk5mfXr1zN27Nhm25ctW0ZNTQ0DBgwgKSmpEyK88pSWlhIfH8+JEycYPHgwH3zwAdHRTf+3q6ioYP78+bzxxhuUlJRcdYlFSZIkSZIkSZKka4ndbiP3xHHS9+0hff8eco8fQwg7AAc3rePOF17DOyikk6NsHSEEWSmHqKupwr97j1YnRYUQpO/bQ/LKbzl14Bc0Tk5E3zSW/rfcjqdfQAdHLXWGVicWhRDhHRmIdO2aMmUKycnJLF68uMXE4uLFi1Gr1UyePFkmFhs8+eSTnDhxgoEDB7Jx40acnZ2b7WMwGJg1axZ33XUXrq6unRClJEmSJEmSJEnS9a2iqNCRSNy3h1MHfqG2qhIUBb+u3Rl010TCovuDorDinTf47yv/j9uefYmw6H6dHfY51dfWcHjzRvauXUlx1unG9R6+/vhH9CCgew/8I3pgDglDddaIRGt9PSnbEtn9w3cUZZ7C1dOLhHsfJPrmcejdDJ1xKdJl0pY5FhspiuKrKMpFtZWuP4MGDSIyMpLly5dTWlraZNvRo0fZsWMHY8aMwd/f/7zHOXToEA8++CDBwcE4OTlhMpm45ZZbWL169TnbVFVV8fLLL9O1a1ecnJwIDg5mxowZFBUVnfdcFouF9957j0GDBmE0GtHr9URGRvLiiy+et21RURGvvvoq/fr1w2g04urqSvfu3ZkyZQo//fTTec95RmpqKkuXLgXggw8+aDGpeLZu3bo1u3dtjT8xMfG881ump6ejKAphYWHnXC+EYN68efTt2xcXFxc8PT254447OHjwYJM2f/rTn5rMoXFmbs0zL4BHHnkERVH4xz/+cc7rnjt3LoqiMHHixPPdHkmSJEmSJEmSpA6x6eMF/GfGFNZ9OIfso4fpGhvH+KdnMWPBZ9z/xj+Jn/gAgT16EnhDJPf/7Z8YzT588/fX2Lf+3H/Ddpbi7Ew2Lv6QDx9/iA2L5qN1cmLsjP9h0p/+wY33T8UUEsapA7+wYdF8Pn3xad6bOokv/vwSW5d+zPYvPmXBkw+z7sM5qFQqxs74Hx577/8YdOdEmVS8DrS6x6KiKFrgDWA6oAcigDRFUWYDGUKIeR0TonQtmDp1KrNmzWLp0qVMnz69cf2ZwilTp049b/sVK1YwceJE6urq6NWrF0OHDiUzM5O1a9eyevVqXnnlFV5//fUmbaqqqhgxYgRJSUkYjUbGjRuHWq1m2bJlrFu3jl69erV4rtraWsaNG0diYiIuLi6MGDECFxcXtm7dyuzZs1m2bBkbN26kS5em80Ls3buX8ePHk5OTg5eXF8OHD8fZ2ZmMjIzGROGQIUMueK9WrlyJ3W4nKiqKfv3a/k3WxcZ/qaZMmcLnn3/OjTfeSPfu3UlKSmLFihUkJiayd+/exvP17duXhx56iI8//hiAhx56qNmxZs6cyaJFi/jwww+ZNWsWKlXz7zHmzXM8cp544ol2vQ5JkiRJkiRJkqTWCO/THzcvb8L69McUHHreIiRGkw/3/vlNfvj3bH5c+D4lOZnc+MDDqFTN6xBcLna7jZN7d7N3zfdk7N+LSq3hhsEJ9B1zK/7db2i8nqDI3oBjmHN5QR7Zx46QfewIOcePkLTia4TdTni/WGLGT5AVnq9HQohWvYC/AinAHTgKt3RpWH838HNrj3Olv2JiYkRrHT58uNX7Xo9CQ0MFIJKSkkROTo5Qq9Vi4MCBjdutVqsICAgQXl5eoq6uTnz55ZcCEMOGDWtynJycHHopU8cAACAASURBVGE0GgUg3nnnnSbbNm3aJFxcXAQg1qxZ02Tbs88+KwARFRUl8vLyGteXlJSIIUOGCBxzg4qPPvqoSbvnn39eAKJHjx4iMzOzcX11dbW4++67BSDi4uKatKmoqBBBQUECEI8//riorq5usj0/P19s3bq1Vfdt8uTJAhAPP/xwq/b/rYuJf9OmTS3e+zNOnjwpABEaGtriekCEh4eLEydONG6rra0Vt9xyiwDEo48+2uyYZ9qdS0JCggDE999/32zbhg0bBCB69ep1zvZXI/lMkSRJkiRJkqRrm81qFRsWfSDenjhefDP7z6KupvrCjdpRfU2NOH34gNj5zediwZMPi7cnjhcfTJssfvrqv6KypLjtx6utERXFRR0QqXQlAZLFOfJobSne8nvgYSHEZkVR7GetP4ij96J0ttUvQu6Bzo6ibfyiYNy5h55e0qH9/Bg7diw//PADKSkpREZGsm7dOrKzs3nyySfR6XTnbLtgwQLKy8uJj4/n2WefbbJt+PDhzJw5k9mzZ/P2228zZswYAGpqavjPf/4DwJw5c/Dx8Wls4+Hhwfz58+nbt2+zisQ1NTXMnz+/sV1gYGDjNr1ezwcffMDatWvZuXMn27dvJz4+HoCFCxeSmZnJ4MGDmTdvXrNvaMxmM2azuVX3qqCgAKBJzK11sfG3hzlz5tC1a9fGz05OTrz22musWrWKDRs2tPl4M2fOZNu2bcybN49bb721ybb3338fgBkzZlxa0JIkSZIkSZIkSZeRSq1m5NRpePoHsGnxApa99gJ3znoVg7ep3c9ltVgoPJVObupxclOPkZd6nKLM040FZQJ79GLofVPoNmAwak1b0kO/0jo5o3U6//Rd0rWtLf/lBAAZ5zjGxf0XKF1XpkyZwg8//MDixYuZPXt24zDoKVOmnLfd5s2bgZaHzAI8/PDDzJ49m23btmGz2VCr1ezevZvKykoCAwNbnDcwOjqa6Oho9u3b12T9mXYBAQHcfPPNzdqZTCZuu+02li5dSmJiYmNibs2aNY2xdGa374uN/1JpNJoWC/P06NEDgOzs7DYf86677iIwMJC1a9eSlpbWOJQ6KyuLFStWYDAYmDx58qUFLkmSJEmSJEmS1An6jb0ND19/Vv57Nv99+VkmzHoV3y7dWt1eCIGlrpaa8jKqy8qoLi91LMtKqSgqIDf1BIWnTmKzWgHQG4z4de1Ot4FD8OvaHb+u3XH18Oyoy5OuI21JCB4CbgTSf7N+IrC7vQK6ZnRQz7+r2e233463tzdLlizh+eefZ/ny5URFRRETE3PedllZWQCEh7dcmDwsLAyVSkVtbS1FRUX4+PiQmZl53jZn2v02sXihcwFNElxnZGQ4cu5nEmmX4kzPxvz8/Da3vdj4L5W/vz+aFr7hMhqNANTV1bX5mBqNhunTp/PKK6/wwQcf8OabbwLwn//8B6vVyoMPPojBICcCliRJkiRJkqTLrSQni/0b1mKtrydm/AQ8fP06O6SrUni/WH7/l7f4ZvafWfanFwiL7ucYXmq3/zrUtOE9wo6wO5KJ1Q3JRGt9y39nObm44hPWhX7jbsevawR+XbtjNPvIuQ+lDtGWxOKfgU8VRQkG1MA9iqL0AO4DxndEcNK1RafTcd999zF37lymTp1KXV3dBYu2nO1yPgTbeq72jC0mJoYlS5aQlJR00cdo73tlt9vPu72l4irt4Q9/+AOvv/46ixYt4vXXX0elUrFgwQJADoOWJEmSJEmSpMvJZrWSunsX+9at4tTBfajUahSViv0/rqbnjaOIu2si7j4ywdhWppAw7n/jn6xf8B6lebkoioKiqFBUCopK1fSzosLZzYBXQBB6dw9cjO64nFk2vNcbjXJosnRZtTqxKIT4XlGUicAfATvwGrAHuE0I8WMHxSddY6ZMmcLcuXNZuXIlGo2G+++//4JtAgMDOXLkCGlpaYwaNarZ9vT0dOx2O87Oznh5eTW2ObPtXFradqbdyZMnz9kuLS2tyb4AISEhpKSkcPToURISEi54Teczfvx4nn32WQ4cOMDevXvbVBn6YuM/M8dlZWVli23O9Mi83MxmM5MmTeKTTz7h888/x9nZmZycHIYPH07Pnj07JSZJkiRJkiRJup6UFxZwYONaDmxcR1VJMQaTmfhJk4kaORpht/Pziq/Y/+MaDm/ZQK9hoxh05yTcfXw7O+yriquHJxOe/9/ODkOSLkqruxkpitJVCLFWCDFMCOEmhHARQiQIIdYpitI82yNJLejfvz/x8fF4e3tzzz33tKpAybBhwwD45JNPWtz+0UcfAZCQkNA4HDcmJgZXV1cyMzPZsmVLszYHDx5k//79zdbHxMTg5uZGVlZWiwVHioqK+P777wGazN14pmjMokWLmhWEaatu3boxadIkAKZPn37BYcSpqank5ORcUvxnkoypqalYLJZm7VatWnVR13I+Wq0WAGvDnB/nMnPmTADmzZvHvHnzAHjiiSfaPR5JkiRJkiRJAqitrLzk3+mvdsJu5+Qvu/nurddZ+OQj7Pzmc3zCujBh1qs8OnchcXdNwtXDEzcvb0ZOmcYjcxbQ5+ZbOLx1E4ue+QPr/jOXsvy8zr4MSZIug7aMX1ynKEqzrx0URbkJ+K79QpKuddu2baOwsJD//ve/rdr/sccew2AwsG3bNubMmdNk25YtW5g7dy4Azz33XON6FxcXHn30UQCefvrpxkrLAGVlZcyYMaPFXxb0ej2PP/54Y7szCTuA2tpapk+fTmVlJXFxcU0Knzz66KMEBATw008/MXPmTGpra5sct6CggG3btrXqegHee+89unTpwq5duxg5ciQHDjSvMF5VVcU///lPYmJiyMvLu6T4Q0ND6dq1K6WlpbzzzjtNzvPdd981u+/t4UwyMyUl5bz7xcbGEhcXx65du9i8eTMBAQFMmDCh3eORJEmSJEmSrk/1tTWk7v6ZDYs+YNEzf+D9R+7lq7++QmVxUWeH1iHqa2sozs4i8/BBju7Yyp5Vy9n638Wsmfcvvv77a3wyaybzHrufb/7+GjnHjzLgjrt5dM5C7nrxT3SNGYhKpW52TIOXiZFTHQnG6JvGcXjzBhY98wfW/+c9ygvaPne8JElXj7bMsbgGWK8oyo1CiFJoklR87rwtJekS+Pn5sWTJEiZNmsTTTz/NwoUL6d27N9nZ2WzduhW73c4rr7zSrCrxX//6V7Zu3cqePXvo1q0bI0eORK1Ws2nTJjw8PLj99ttZsWJFs/O9/vrrJCcnk5iYSPfu3Rk5ciR6vZ6tW7eSk5NDSEgIn332WZM2BoOB5cuXM378eN5//32WLVtGfHw8zs7OZGRksHfvXn7/+9+3epi0l5cX27ZtY+LEiWzbto3o6Gh69uxJjx490Ol0ZGVl8fPPP1NXV4evr2/jEPCLjR/g73//O5MmTeKll17iyy+/pEuXLhw/fpz9+/fzxz/+kTfeeKNVsbfWnXfeybvvvsuoUaMYOXIkbm5uACxcuLDZvk899RQ7d+4EHPMutlQoRpIkSZIkSZJaQwhBQcZJ0vftIWP/HjJTDmO3WdE4ORHcM4puAwazd+1KPp41k7HTn6ZrzKCLP5fdjnKR85FbamtJ37+H1ORdpO1Nxt3Hl/iJDxAa3e+i5lQvy8/jpy8/I2VrIkI0nUNdpVbj4uGJq7snBpMZv24RhPTuQ/eBg1FrtK0+h8HLxKiHH2fgHb/j5+VfcmDDWg4m/sh9b7yDb3jXNscsSdKVT2ltF2/F8eT6LxAKjAIScCQV/0cI8Z8Oi/Ayi42NFcnJya3aNyUlhcjIyA6O6OoVFhZGRkYGSUlJxMbGXnD/r776invuuYdhw4aRmJjYbPvBgweZPXs2GzdupKCgAIPBwMCBA5k5cya33HJLi8esrKzkjTfeYNmyZWRnZ2M2mxk/fjxvvPEG/+///T8+/vhjPvroI6ZMmdKkncVi4YMPPmDJkiWkpKRgsVgICwvjjjvuYNasWXh7e7d4vvz8fN59912+//570tLSUKlUBAQEEB8fz7Rp04iLi7vgffitlStXsnTpUnbs2EFeXh5WqxWz2Uzfvn254447uO+++3B1dW2X+FesWMHf//539u3bh0ajoX///rz00kvccMMNhIeHExoa2mRuyvT09BbXn+3MLz2/fdbU1NTwyiuv8O2335KZmdk4BLulZ1JBQQE+Pj5otVoyMjLw9/dv7e27qshniiRJkiRJ0oXZ7TYqi4soy89rfJXn51JXU42iqBqLiqjUalSqM+9VKCo19dVVnDq4j6rSEsBROCOsT3/C+vQnsEcvNA3T9RRlneaHOW9RkJ5G3zHjufGBh9HqnFod4+lD+9nx1VIyjxzCFBSCb9cI/Lp2w69rBKaQ0HMm66rLSknd/TMnkndyav8vWC31OLu6EdqnPznHj1BekE9Qz94k3PsQgTe07vfGqtISdn7zOft/XINKpSL6prH4du2Oq4dn48vZ1e2iE6DnU15YwKHNPxJ356QOOb4kSZeHoii7hRAtJnZanVhsOJAG+B7wBHrjSCouaJcorxAysShJV55///vfPPPMM0ycOJHPP/+8s8PpMPKZIkmSJEnS9chut1FfXUNddSV11dXUVTUsq6scr6oqKooKHAnEgnzKCwuw286ap1tRcPPyRu9mQNjt2O12hN2G3W7HbrM51tkcnzUaDYGRvR3JxOh+uHm1/IU7gNViYdvSxez+YTmm4FDGPz0LU3DoOfcXQvyaUEw5iKunFxFx8ZTkZJObepzainIA1BoN5tBwfLt0x69rdzwDgsg+epgTybvIPpYCQmA0+9A1dhDdYuMI7NELtUaD1WLhwIY17Pzmc6rLSunSfwDxkybjE9alxXhqqypJ/v5b9qxajtVST9SI0cT97l4MXqaL+0FJknTduujEoqIo/VtY7QZ8CqwEGscsCiH2XGKcVwSZWJSkK0t5eTm9evUiMzOTnTt3MmjQxQ9FudLJZ4okSZIkSVcrm9VKeWE+pTnZlOTmUJqXTVVxMVZLPVaLBZulHmu9BZv11/dWSz3W+nostTUXPL7e6I67jy/uZl/H0scPo4/jvcHb3NjTsCOc3JvMmvn/or66mmEPPkqfm8c1GYoshODUgX3s+Pq/ZB05jJunFwPuuIeoUaMbezkKISgvyCc39Ti5qcfISztBXtpx6mt+vXafsK6OZOKAOMyh4ecc7myprWXPmu9JWvEVdVVV3DDkRuIn3o+nv2MOc0tdLXvXrCRp+VfUVlU22y5JktRWl5JYtAMCOPuJdvbnM++FEKL5DK5XIZlYlKQrw1tvvcXBgwfZsmUL6enp3HPPPXzxxRedHVaHks8USZIkSWo9IQRZRw5xbOd23H186TN6fIcmlyQHIQTZx46Ql3qsIYGYQ2lONmUFeQj7r/P26fR63LxMaHQ6NFodGp0WtdbxXq3VotHpUGu0aHRadHpXnFxccXJ1xcnFxfG+4aVr+Kzu5Dm2q0pLWDPvXdL37aHbgDhGT3sKZzcDGfv2sOPrZWQfS8HNy5uBE+4hasRoNDrdBY8p7HZKcrMpyjyFb3g3jGafNsVUW1lJ8spv2L1qOTaLhd4jbsYcEsau776kqqSY8H6xJNz74Dl7NEqSJLXWpSQWz93P+zeEEBkXEdsVRyYWJenKMHz4cDZv3ozZbGbChAm88847GAyGzg6rQ8lniiRJkiRdWHF2FilbN3J4ayLlBXmoNRpsVivuvn4Me+Bhug0YfFGFLaTzqy4v4/CWjRzYsJbi7EzAkTz08AvA0y/AsfQPwMPXH0//APRG92vu5yDsdnavWs7W/36Mi9GIwdtMzomjGLzNDJxwD71H3Nwpye2q0hJ2ffcF+9evxma1EtijJwn3PkhQZO/LHoskSdemS55jUVEULY7hz38UQqS2c3xXFJlYlCSps8hniiRJktSRhBBY6mqpraygpqKC2ooKaqsa3ldWYK2vx+Btwt3XDw8fPwwmc6f3EjujuryMozu2cnjLRnJPHENRVIRE9aHn0BF0GziY7KMpJH6ykKLMUwT3imb4g4/KXlq/UZKTRV7aCbyDQvAKDG7Vz1YIQebhA+zfsJbju7Zjs1rxj+hB9KixdOkXe00mD1sjL+0EP8x9G2t9HYMmTKTX8JuuiN6y5YX5VJWU4Nct4rr8uUiS1HHapXiLoiglQIwQIq09g7vSyMSiJEmdRT5TJEmSpIslhKC6rJTywnwqCgscBS6KCigvKKCisICq0mJqKyuwWa3nPIaiqBDC3uSzwWTC3cevcU47d18/jCYf3M0+uHp4XnKVVyGEY569ujosdXVY6xuWdXVY6uuoLivl2M5tnNybjN1mwxwSRuSNI4mMH9as6IbdZmP/j2vY/uVn1FZWEDVyNAmTJuPi7nFJMV7NLHW1HNu5nYOb1pOZcrBxvVqjwTs4FJ+wrviEhWMO64JPaDg6vQvgSOQe2ryBAxvWUpKThZOrKz2HjiRq1BjMIWGddDVXFrvdhoIiKx1LknRdaK/E4v8BKUKIt9szuCuNTCxKktRZ5DNFkiRJuhBLfR3FmacpOJVO4al0Ck9nUJafS0VRITaLpcm+Or0eo8kHg8mMm6cXzgYjzq5u6A1GnN3c0Ls5lmfWqzRqKouLKcvPpSw/z7HM+/V9VWlJk+OrNRoM3maMZjNGsy9Gkw9Gsw9GkxmVRkt1eSk15WXUlJdTXV5GTXlZw7Kc6ooyRy/JuroLXrOrpxeRCcPpOXQE5tDwC+5fW1nJzm+WsnfNSjQ6HXF33Uu/cbd3aI8yu81GaV4uxVmnKco8RXHWabR6F/qNGY93UEiHnbclQgjy0k5wYONajmzfQn1NNZ7+AfQafjNh0f0ozsmiID2N/PQ08k+mUtNQqRjAw88fo8mHzJRD2G2OIbXRo8bSPS6+sQiJJEmSdP1pr8Tia8D/AJuBZKDq7O1CiH9eYpxXBJlYlCSps8hniiRJknSG3W6jLC+XwlMZjiTi6XQKT2VQmpvT2KtQo9XhFRSMp18ABpMZo8mM0ezTkOzzwcnFtV2HQ1rqainLz6O8MJ/yggLH8sznwgKqSorP2VbrrMfFaERvdMfF6I7e4I6zwYDWyRmtkxManZNj6eSEVvfrUqfX4x0cgkrV9jqRxdlZbF6ykLQ9Sbj7+hE7/k6c3dwchUMaCoioNdqGz9rGz0IIhN2O3W5HCDvCbm9cJ+x27DYb5YX5FGWepijrNMWZpyjJyWrSG9TN20RteTlWSz3hfWOIufVOQnr3adPPQwhB/slU0vYmoaD8eu+MRvSGhqWbobHHXE1lBSlbN3Fw4zoKTqWj0TkRERdP1IjRBEb2avHcQgiqSoodScb0NPLTUynNySa4dx+iR4257ElRSZIk6crUXonFk+fZLIQQ18QkJjKxKElSZ5HPFEmSpOuPpbaW4pwsirNOU5ydSXGmY9kkUaUoePj6YQoOwxQShjkkFFNIGB5+/heVcOsoVouFiiLHMGy7zdaQBHMkw1pTIbejpO/b0zj/YrtSFDx8/PAKDMI7KKRh7sIgvAKCcXJxobq8jH3rV/HL2h+oLivFHNaF2PETuGHIUNSalntPCrud7GNHOP7zdo7/vIPygnxQFDjH32yKosLZYEBvMFKWl4PNasW3S3eiRt5Mj/hhOLm4tu81S5IkSdeldkksXi9kYlGSpM4inymSJEmXh91mo7KkmMriIiqLC6koKkLYbUTEJWA0+3ToeXNOHCNj/x5yjh+lODvTkThqoCgqPPz88AwIwisgCO/AYEzBoXgHhaB1du6wuK4HdruNisICrPUWrJZ6bBYLNqulcWmtb/hstaAoKhRFQaVSoZz9UhQUlRpFUTB4m/AMCGzV8GBrfT0p2xLZ/cN3FGWews3Lm35jbyP6prE4u7pht9k4ffgAx3f9xImkHVSVlqDWaAiN7kf3gUPoGjsIrbOemoqmw8odQ8vLG4eYG01meg2/SRatkSRJktpduycWFUVxw9FLseqCO19lZGJRkqTOIp8pkiRJ7au6vIzU5F0UZJykoqiQypIiKosKqSotbVKk5GwhvaPpNewmug8agtbp0pN5Zfl5ZOzfS/q+PZw6uI+66ioURYUpNAxTUAheAUF4BQXjFRCEh1/AFVFZVuoYwm4nfd8ekld+y6mD+9A66wnp3Yeso4eprShH4+REeN8Yug+Kp0u/ATi5uHR2yJIkSZIEnD+xqGnjgZ4AXgACGz5nArOFEPMuOUpJkiRJkiRJukRVpSWcSNrJsZ3bOH34AMJuR6d3weBtws3LG1NwKG5eJgxe3rh5e+Pm6Y3B20R9TQ2Ht27k0OYNrH7/n2xYNJ+IuKH0Hn4TATdEtnpuvNrKSrKOHiZ93x4y9u+lJCcLAIO3mYi4eEKj+xMS1Qe9m6Ejb4N0BVJUKsL7xRLeL5b89DR2r/yWU4f2E96nP90HDSGsT/92SWZLkiRJl0YIgb2qGntlBbbyctTu7mh9fTs7rCtWW+ZY/CPwEvA2sK1h9VDgWeBvQoh/dEiEl5nssShJUmeRzxRJkqSLU1lSzPGff+L4zu1kphxCCDue/oFExCUQERePOTS81YlBYbeTdeQwBzf/yLEd27DU1eLh50+vYTcRmTAMgPLCAioKC6goKqS8MJ+KwgLHuqIC6mtqANDonAju2ZuwPv0Jje6PV2BQuxZSkSRJkqRrhbBYqNr1M5UbN6INCsLz/vtQObVvJXohBPayMupPn8Zy+jT1pzOxZJ7GWlKCvbwCW2WFY1lRgb2iAuxNRzY494nGOHoMhjGj0QUFtWtsV4P2Kt5yCnhBCLH0N+vvx5FYDL3kSK8AMrEoSVJnkc8USZKk1quvqebQlo0c/WkrWUcPgxB4B4XQfVA8EXHxmIJDLzmRV19bw/FdP3Eo8UdOHz7Q4j56oztGkxmDtxmDyYTB24xPWBcCe/SSw5olSZKkK5YQolO/8BIWC1U7d1K+Zg2VP27AVlaG4uSEqKtDGxCA+blnMd5yy0XFaC0poeLHH6lPT8dyOpP6zNNYTmc6EoZnUXt7o/H2RmU0oHYzNF0ajKgMbqgNBupPZ1Kxdi21hw4B4NyrF4YxYzCOGY0u9JpIhV1QeyUWa4HeQogTv1nfHTgghLgm+u3LxKIkSZ1FPlMkSZIurLywgL1rvmf/j2uor6nGFBJGREMy0TsopMPOW5afS+run9E56zGYzBhNZty8Ta0q3iFJkiRJnU1YrdQePEjVjh1U/bSDmgMHMIwahe8rL6Px9Lw8MdTXNyQT11KxYQP2sjJUrq64jRyJcewYXBMSqNmzh7zZb1J35AjOfaLxfeFFXPr3a9Xxaw4cpOSzzyhftQpRX4+i1aINCkIbEowuKBhtcBC64GC0wcHogoJQtXEu2/rMTCrWrqN83Vpq9+0HwKlHD4xjRmMYMwanLtdu8az2SizuB74SQvzlN+tfA+4SQvS55EivADKx2H7CwsLIyMgA4IUXXuAf/zj3aPkHHniAzz77DIBhw4aRmJh4OUK87Ox2O59//jnffPMNSUlJ5OfnI4TA19eX/v37c+eddzJx4kSc2rnbt3R1kM8USZKkc8tLO0Hyym85umMrABFxCcSOn4Bft4hOjkySJEmSfmWrrKLu+DHqjh2n7tgx6o4fx1pchPnppzHefPNli0MIQf3JdKp2/ETVjh1U7/q5sceeU89InLp1o3zVatSeHvj/+S8YRo7okDisJSVU79hB5eYtVGzahL28HJWbG4ZRIzGMGYNrfHyzYc/CZqPsu+UU/OtfWAsKMIwdi89zz6ILDm52fHtdHeWrV1Py36XU7t+P4uKCx4Q78Jg0Cafu3VFUqg65Lkt2NhXr11O+dh01e/YAEP7tNzhfo3/PtVdi8S7gCyAR2N6wOh4YBtwjhPju0kPtfDKx2H7OTiwGBARw6tQp1Gp1s/3Ky8vx8/OjpmFOoms1sXj8+HHuvvtuDhw4gKIo9O3bly5duqBSqUhPT2fPnj3YbDZCQkJISUnB5SqqBJienk54eDihoaGkp6d3djhXLflMkSRJakrY7aTuSWL3D9+SefggOr2eqJFj6D/udoxmn84OT5IkSbrOWXJyqN69x5FAbHhZsrMbt6tcXHDq3h17dTV1x4/jPf1xzDNntmuySwiBraQES1aW45WZSd2JVKp27sSamwuANjAQ1yFDcB0yGJdBg9B4eQFQe/gw2S++RN2xY7hPmIDvH19CbTReWjwWCzX79lG5bRtV23+i9uBBEAKV0YhhxAgMYxuSiTrdBY9lr66m6P8WUbRoEViteD7wAKbpj6M2GrFkZ1Oy7HNKv/wSW0kJuvBwPO+7D/cJd6A2XN4CaZa8PCo3b8bjnnuu2fmU26UqtBDiG0VRBuEo1nJrw+oUYKAQYu+lhyldq2JjY0lOTmb9+vWMHTu22fZly5ZRU1PDgAEDSEpK6oQIO156ejpDhgyhsLCQW2+9lTlz5hAeHt5kn4KCAt59913eeecd6uvrr6rEoiRJkiS1ht1u4/ShAxRlnkalVqNSq1Cp1KjUahS1uuG9CpVa7RjyvPp7SnKyMJjMDJv8CFEjx+Ak/32UJEmSzkEIARYLSiuSVhd1fKuVml9+oXLzZio3b6Hu2DHHBo0Gp/Bw9P364TFxIk4REThFRKAN8EdRqbDX1ZH7l79QNP8Dag8fJvCtty4qgVd79BhV27c3JhAt2VnUZ2Ujqqub7Kf28sJl4EBcBw/GdcjgFnv6ATj37En4V19SMG8eRQsWUrVzJ/6vv47b0IQ2xVV/6hRV27dTuW071Tt3Yq+qApUKfZ8+mJ54AreEeJyjolBa6Gh0PioXF8wzn8Rj4j0U/HsOxYsXU/bNNzj3iaZqm6O/m9vIEXjddx8ugwd3WlJP6+uL58SJnXLuK8EFE4uKonwMbAA2CSF2A/d3eFTSNWXKlCkkJyezePHiFhOLixcvRq1WM3ny5Gs2sfjAAw9QWFjIJj86xQAAIABJREFUhAkT+Prrr1G18A2V2Wzmb3/7G3feeaccCi1JkiRdM4QQFGScJGVbIke2JVJZUtzqtr5dujP+qeeJiEtA1cY/RiRJkqTrg7DbqfnlFyrWrqNi/XqsBQW4/+5uTH/4A1p//0s+vrWkhKotW6jcvIXK7duxl5WBRoNLTAw+s2bhOmQwTl26nDeZqXJywv+vf0Xfuze5b/yNk/fcQ/B77+HUvXurYqjPyKBgzlzKf/jBcTyDwTF3YGgorkOGoA0MQhsUiDbQ8VK7ubX6+hSdDp9nnsEwahTZL77E6ccew2PiRHxmzULt5tpsfyEEllOnqE5KojopiaqkJKzZOQBoAwIwjh+Pa0I8rnFxl9z78Qytry8Bf3sDr8kPkP/WW9QdOYr3I4/gee8ktIGB7XIO6eK1psdiV+BeQKMoyklg45mXECK/I4OTrg2DBg0iMjKS5cuXU1paioeHR+O2o0ePsmPHDm655Rb8L/DQP3ToELNnz2bTpk3k5+djMBgYOHAgM2fOZNy4cc32nzJlCh9//DEfffQRCQkJvPrqq2zYsIHS0lLCw8OZOnUqzz//fItJPovFwocffsiSJUtISUnBYrEQFhbGHXfcwfPPP4+3t3errz8xMZHt27ej0+mYP39+i+c724ABA5qtq6qq4l//+hdffPEFJ0446id1796diRMn8swzzzTr3bh48WKmTp3KQw89xOLFi1uMacSIEc2GnZ+9fv369bz55pssWbKE9PR0jEYjo0eP5m9/+xshIb9Ojn/mPgNkZGQ0+ZbozNDoUaNGsXHjRpYuXcq9997b4nU/99xz/POf/+T555/nzTffPO89kiRJkq585YUFHNm+mZStmyg8nYFKrSa8XyzDE0YQFNkLALvNhrDbsdts2O02x7JhnUanwysw+JodUiRJkiRdPGG1Up2cTMW6dVSs/xFrQQGKVovrkCG4DBpE6VdfU/rV13jcdRemPzzW5uRT3cmTVKxdR+WmTdTs3w9CoDaZMIwciduwYbjGD2nzcFtFUfD8/e9xiogg8+lnSJ90L/7/+DvG0aPP2caSl0fhvPmUfv01ilaL97RpeD04GU0b/h5tLX1UFOHffO3oGfjRR1Rt347/G2/gMmgg9SdPUv1zUmMy0ZrvSAWpvbxwiY3F5eFHcI0fgi4srEP/3XaOjCRk0aIOO750cS6YWBRCJCiK4gIkAMOBEcAUQK0oyhFgE44k4zcdGKd0lZs6dSqzZs1i6dKlTJ8+vXH9maTX1KlTz9t+xYoVTJw4kbq6Onr16sXQoUPJzMxk7dq1rF69mldeeYXXX3+9xba//PILTz/9NCaTiREjRpCfn8/WrVt58cUXyczMZO7cuU32r62tZdy4cSQmJuLi4sKIESNwcXFh69atzJ49m2XLlrFx40a6tLLi0/LlywEYM2YMfn5+rWpztsLCQkaOHMmBAwfw9PRkzJgxAGzatImXX36ZL774go0bN+LVME9Ge7BYLIwbN45du3YxbNgwIiMj2bFjB5999hlbtmxh//79jQnihIQEKisr+frrr3F1deV3v/td43FMJhMAM2fOZOPGjcybN6/FxGJNTQ0fffQRKpWqyX8fkiRJ0sWprazk5N4k0vYm4+rpRf9xt2E0dfychDWVFZxI2kHK1kROHz4AQhAQEcmoR2YQERePi9G9w2OQJEmSrk2NFYXXraNyw0ZsJSUoej1uQ4diGD0at+HDGnvqmZ98gsIFCyj9+htKv/kGjwkT8J42DV3QuROMdWknqVi7hvI1a6k7ehQA56gox1DeYcNw7tWzXeZGdImJIfzrr8h86imynnqa2mnTMD81s8kwYWtJCUULF1Ly6WcIux3PSZMwPT4Njdl8yec/H5WTE76znsdw001kv/Qip6ZMQe3lha3YMdpAYzbjMmAALgMH4DJgALouXeQXgFLr5lgUQlQD6xpeKIrihiPROBp4BJgOyPEp0jlNnjyZl156icWLFzcmjmw2G5988gleXl7cfvvtrFixosW2ubm5TJ48mbq6Ot555x2effbZxm2JiYmMHz+ev/71ryQkJDQm3c7273//m9dee41XX321sbfgli1bGDFiBPPmzWPWrFkEnzXnxKuvvkpiYiI9evTgxx9/JLDh262amhomT57M119/zf3338+OHTtade27d+8GWu6J2BozZszgwIEDDB06lBUrVjQm9EpKSrj11lv56aefeOKJJ1i6dOlFHb8lP/30E7GxsaSmpuLj4/hDtKysjJEjR7Jnzx7ef/99Xn75ZQAeffRRbrrpJr7++mtMJlOLPSRvu+02QkND2bp1KwcPHqR3795Nti9dupSSkhLGjx/fbO5JSZKkK5mw26koKqQ4J4vygjwCIiIxBYd2SizlhQWkJu/kRNJOMlMOYrfZcHH3oKainD2rlnPD4KHE3nYXvuFdL+r4lvo6KgoLqSgqoKLo7GUhFYWO9/U1jjmePP0DGPK7+4hMGI6H36UPQ5MkSZKuP8JmozblCNU7d1C1cxfVu3cjampQubriNmIEhtE34zZ0KCq9vllbbWAg/n/6E6Zp0yhasIDSL7+i9NtvcZ9wB6Zp0xrnHKxLS6N8zRoq1qxtnC9R368fvi+9iGH06HYZSt0Sra8voUuWkPf66xR9+CG1KY55FxWNhuJPPqHo/xZhr6rC/fbbMc18El1QUIfEcS4u/fvR5bvvKPzgQ6y5OehjY3EdMABtaKhMJErNtLp4C4CiKCogBkevxeHAUKACWNXukV3lZv88myPFRzo7jDbp4dWDFwa+0CHH9vPzY+zYsfzwww+NlW/XrVtHdnY2Tz75JLrzzEexYMECysvLiY+Pb5JUBBg+fDgzZ85k9uzZvP322y0mFgcMGMBrr73W5AF44403MmbMGFavXs2mTZt48MEHAUfycP78+QDMmTOnMakIoNfr+eCDD1i7di07d+5k+/btxMfHX/DaCwoKABoTdG2RkZHBV199hUqlYsGCBU2GkXt6erJgwQKioqL44osvePPNN5skSC+FoigsWrSoSczu7u688MILTJo0iQ0bNjQmFltDrVYzY8YMXnjhBebNm8e8efOabD/zecaMGe0SvyRJbSOEwGa1Yq2vw2axYK2vw1rfsLRY0Gi1mMPCUamure8QbVYLBRnpVJYUo9FoUOt0qDVaNA1LtVaLRutYCrud0rwcSnKyKc7OpCQni5KcbEpzsrFa6pscN7hnFH3HjKdrbBxqTZt+1WoTIQSFpzNITdrJieSd5KU5psrwCgwm9ra76DYgDr8u3akoLmTPqhXs37CWI9s3E9I7mtjb7iasT//z/nFgtVjIPprCqYO/kLF/L7lpJ0CIJvvoje4YvE14+AUQ3Csag7eJ4J5R+HWLkH94SJIkSW0ihKA+NZWqnbuo2rmD6p+TsJeXA6Dr1hWPu+92zN03ZEirKgoDaP398Xv1Vbz/8AeKFiyk9MsvKfv2Oww33UR9Whp1x4+DoqDv3x/fP/4Rw5jRaH19O/IyG6l0Ovz+8hece/Um9403OHn377DX1GArKsJt1CjMTz+Fc0TEZYmlxfj0enz+55lOO7909WhN8Zb+OJKII/k1kbgZ+A54RghxrCMDlK4dU6ZM4YcffmDx4sXMnj27sWfblClTzttu8+bNADz00EMtbn/44YeZPXs227Ztw2azof7N5O633HJLi3/c9OjRg9WrV5Odnd24bvfu3VRWVhIQEMDNN9/crI3JZOK2225j6dKlJCYmtiqxeCm2bt2KEILBgwdzww03NNves2dPBg0axI4dO9iyZQv3398+tZVCQkKIiopqtr5Hjx4ATe5Zaz366KP86U9/4tNPP2X27NkYGuYk2bVrF7t376ZLly4tFveRpKudEIKyvFzy01OprazEaqnHWl/vSOBZ6rFZ6h1JPItjndbZGXNoOD6hXTCHhqHTt70Cbm1lJWX5uVSXlVJTUf7rq7y86eeKcuprahyJsd8kjH5LbzAS3jeGLjEDCY3uh7Nr6ycFbyshBHXVVVSXlVFdVkJ1eVnD+1LHq7yUuupq3M0+eAYE4RUQhFdgEO5m33MW+BBCUF6QR87xo+ScOEbOiaPkn0zFZrG0OT6VWo27rz+e/gGERvfDyz8Qz4BAXD28OJG0g33rV/H9u//AzdOL6JvGETVqDG6e55+uwma1kpd2nNOHDnD68AGKTmc4NigKKApKwwsUFJWCgoKlvo6qkmJQFPy738DQ+6bQbUAcXgFNezUYTT4Mf/BR4u6+lwMb1rJn1XK++ftrmIJDibn1TiIThqHWaB2JylPpZOzfS8bBfWSmHMRaV4eiUuHfvQdxd07Ewy8Ag7cZg8mEwcuEpoOqbkqSJElXPmGzgc120RWYhd1OfWoq1bt3U52UTNXPu7AVFAKOHoeG0TfjOigO17hBlzwEWOvnh9//vuJIMC5cSNm33+LU4wZ8X37Z0TPRt+OnC2mJoih43jsJp4gIsp59Fqdu3fB5/z30fft2SjySdDFa8zV6MnAKeAdHIvFEx4Z0beionn9Xs9tvvx1vb2+WLFnC888/z/Lly4mKiiImJua87bKysgDOOUQ2LCwMlUpFbW0tRUVFzXoGnl1o5GzGhgpVtbW1rT4X0Di34pl9L8RsNnPkyBHy89te66i18ezYsaPV8bRGW+5Za3l5eXH//fezcOFClixZ0tg78UxvxenTp1+wsI0kXemE3U5JbjZ5J1PJSztB/slU8k+mUldd1eL+KrUGjU6LWqtr7B1XW1HBgQ1rG/fx8PXHHNaQaAwLxxzaBYO3ieqyUkpysynLy6U0N5vSs5a1lRXNzqWoVOgNRsfLaMQrMAi9wYhO74JG54RG6+ipp9HpUGsdS41Wh0arpaaygpO/7CZtbzKHt25CUakI6tGL8P4D6NJ/AF4BQc2+wBFCUF9T/etQ2aJCKosLqa2qxFJb63jV1WKpq3Msz3yuraW+phqb1driPXM2GHExuqPT6zmRvIua8nVN7qenfwCe/oF4BQbh6RdAZXEROSccycSa8jIANDonfLt0pe+YW/HvdgPuZh9sVis2q8WR8LVasNXXO9Y1JIDP/Cw8/QMwmn3P2RNx4B2/I/a2Ozm5N5lf1v7AT19+xs5vltF94BD6jh5PYGQvFEXBbrORd/JEYyIx68hhLLU1AJiCQwmN7o9KrUIIgRACBAhhByEQjhuMoigE9uhFl5iBF0xcAji7ujHg9rvpf8vtHNm+heSV37J2/r/YvuwTAiIiyTxyiOqyUgC8AoKIGjGakKi+BPeMwsml7QluSZIk6dpgr6+nPj2d+tRU6lLTqE9Lpe5EKvXp6QibDV14GM4REThFRODUvTtOERFoAwObzUcorFbH0ObkZKp3J1OTvBtbqePfHbXZhOvAQbgOjsMlLq7Dhv5qfX3we/mP+L38xw45/sVy6d+Pbps2yt7+0lWpNYnFRTh6LL4F3KMoSiKOgi07hBBtzy5I1y2dTsd9993H3LlzmTp1KnV1dRcs2nK2i33IXkyyqj0f6DExMWzdupWkpKSLPkZ7/wNjt9vPu72jEnwzZ85k4cKFzJ8/nxkzZlBUVMQXX3yBs7MzDz/8cIecU7o+2e02asrLqSotobq0hKqyUsf7shKqSksbl25e3oRF9yO0T39MwW2fM6aqtISsI4fIOpriSCSmpzUmh9RaLeaQMHrE34hPeDd8w7vi6uGJWqdrHF7b0tBiIQQVRYUUZJykID2NgoyT5GekcXzXT437qNRq7DZb42dFUWE0m3H39eeGwQm4+/rj4euHq4cXeqMjmejk4npJz5LIhOHY7TZyjh8jbc/PpO1JYsuni9jy6SLcff0IjeqLzWqlsrioMZF45l6cFShOehe0Tk5onfVonZzROjvh7OqGwcuE1tkZrZMzOhcXXIzuuLp7oHf3wMXojou7B3qDsVlCr6aygpLsTIqzMinOyaI4K5OirNOk7fm58R55BQTRpd8A/LtH4NftBkzBoR06RFmlUtM1ZhBdYwZRkpPFvvWrOJj4I0d3bMUUEobB20TWkUPU1zjuj3dQCD1vHElIryiCekZ1eIETtUZLr2Gj6HnjSDL27yV55bdkHz9CSO8+hEb1JSSqL0ZTx04OL0mSJF1ZhMWCJTcXy+nT1J/OxJJ5mrq0k9SnplJ/+jSc+b1DUdAGBeHUpQuuQxNQNFrqjh2jZv8ByletbjyeysUFXfduOEdEoDaZqN1/gJq9e7FXO+bi1YaE4DZihKOicGwM2pCQ6z6pdr1fv3T1ak1V6EcBFEUJxjG34ggcyUY/RVGSgEQgUQixsQPjlK4RU6ZMYe7cuaxcuRKNRtOqobuBgYEcOXKEtLQ0Ro0a1Wx7eno6drsdZ2fnS66MfGZOxZMnT55zn7S0tCb7Xsjtt9/Ov/71L9auXUteXh6+bZiz48w5zpyztfGcmbOysrKyxTYZGRmtjqE9RUdHc+ONN7Jlyxa2bNnCzp07qa2tZcqUKe1a1Vq69gkhqC4rpSw/j7L83Iblr+8rigoQLSTQtU7OuHp44uLugad/ACU52Wz+dBF8ughXTy9HkjG6H6FRfXFx92h2zvKCfDJTDpJ15BCZKYcoyXH0FNZodZjDwuk1bCQ+4V3xDe+Gd1DIRSWvFEXBaDJjNJnpGjOwcX19TTUFpzIoSE+jvDDfMa+drz8efv4YzT6oNdo2n6utVCo1gTdEEnhDJEN//xDlhfmk7Unm5N4kUrZtxkmvx83bhHdQMGHR/XDzNmHwdgyZNXibcPX0aveEnt7NgD4ikoCIyCbrbVYr5QV56I3uHTps+0I8/QMZ/uBjxE+azJHtW9i3fjVleblEJgwnqGcUwT2jcPXw7JTYFEUhrE9/wvr075TzS5IkSZeXEAJrdjY1Bw5Qf+q0I4mYeRrL6UwsOTm/Jg8BtFp0ISE4RURgGDcWp67dcOraBV14OCpn5xaPb6usov7EcWqPHaPu2HHqjh2jYv2P2MrKcIqIwH3CBFxiY9DHxHba0GNJktpfq3+7F0KcBj5peKEoShiOitBPA39sy7Gk61f//v2Jj4/nyJEjjB49ulUFTYYNG8aGDRv45JNPeOyxx5pt/+ijjwBISEhAc4l/sMbExODm5kZWVhYbNmxolsgsKiri+++/BxyFY1pjxIgRDB48mB07djB9+vTGYiznsnv3bnr27Iler2fo0KEoisLOnTs5duwYEb+ZvDclJYVdu3ahUqm48cYbG9efSTIeOdJyAaFVq9q33tKZRKb1HEMXzzZz5ky2bNnCe++9R3JyMgBPPPFEu8YjXVtsVgv56WnkHD9G7omjFGScpDQ/F2tdXZP9XD08cffxI/CGSIzm4bh5eePq7oGLh2fD0gOdc/OqgeWFBWQc2EvGvr2k7v6ZQ5s3AOAT3rUxOZZ9NIXMI4eoLHLM++Pk6krgDT3pPeJmgiJ749ula4cn9nR6l8ak3pXCaPKh7+hb6Dv6ls4OpRm1RoOnf+u+ALoctE7ORI0cTdTI0Z0diiRJ1yFbZRU1v/yCrbQUw803oXJy6uyQOp2w27FXV2OvqMBeWYmtshL7mVd1NbqwMJx79+7Ue2Wvq8Oal4clNxdrXh6KzgltUCC6oCDU7hfu3S4sFmqPHKVm7x6q9+6lZs9erHl5jdvVXl5og4PQ9+mD8dbx6IKD0QYFowsOQuPri3KOeYvPRe3mir5v3ybzAwohEBZLq4utSJJ09WlrVeggfu21OBwIA2px9FqUpFbZtm1bm/Z/7LHHeOutt9i2bRtz5szhqaeeaty2ZcsW5s6dC8Bzzz13ybHp9Xoef/xx3n77bZ5++mnWr1+Pv78/4JhXcPr06VRWVhIXF9emwi2ffvopAwYM4Ntvv2XChAnMmTOHsLCwJvsUFxfz7rvv8tZbb5Gbm4teryc0NJS7776br776imnTpvHdd9/h3vBLRGlpKdOmTcNut3Pvvfc2qQg9YMAADAYDhw4dYunSpfz+979v3DZv3jy++uqrS7hLzZnNZnQ6HXl5eZSUlODpee7eNxMmTCA4OJgvv/yyMdbY2Nh2jUe6egkhKMvPI+fEUXKPH/21wEZD0trV0wvfLt0Ije6L0eyHh68f7j6+GM0+aJ1a/vb8QowmM1EjRhM1YjR2u438tFTS9+9tHCJqt9lw9fQisEcvgiJ7EdSjl2PYtJwTVJIkSbpCWYuLqd69m5rk3VTv3k1tSkpjbzSNnx+mx6fhcdddF110oy2ExYKtvBxbWRm20jJs5WXYy8ocn8vKEXW1OEdF4xo3qFXJsgueTwhsxcVYsnOw5GRjzc1teJ+DJTcHa34B9vJy7FUtz3/chFaLvmdP9P37o+/XF5f+/dGYTJceY3091pISbEVFWIuKsRYVYs3Lx5qXiyUnF0teLtbcPGzFxec8hspgQBsUhC4oEG1gENqgILRBgSiK0phErDlwANEw7YYmwB+X2Fj0/fqh79sXXVgYajfXS76WC1EU5bL8dyZJ0v9n783D9bjqO8/PObW8633vKuleLba12ZL3FTAQIDYkAROcBjp0Qmfmme6ZnqaTPCSBuAmQ9GSDkPR0CB0nTMg8SdoDHRgG0iQ2iVns4MQsFni3ZFuStW93X96tqs4588c5VW+9915JV7Isy+L96imdU/XWrTq1neV7vr/f7+XDSqJC/yyWRPxRYBMQA98B/grra/E7xpjoJSxjDz/kGB0d5Z577uE973kP73//+/nzP/9zrr76ao4cOcJDDz2E1pqPfvSj5yyi8G//9m+zY8cOHnzwQbZu3cptt91GqVTioYce4ujRo1xyySV89rOfPaNjbtq0iYcffph3vvOd/O3f/i333nsv119/PZs2bUJKyf79+9mxYwdKKTZu3EghNzP6p3/6p+zatYsHH3yQTZs2ZUrJBx54gOnpaa677jruvvvurvOVy2V+4zd+g1/91V/lve99L3fffTejo6M8+eSTvPDCC9x11138/u///ou+VymCIOCOO+7gy1/+MjfccAOve93rKJVKjIyM8Hu/93td+/q+z/ve9z4+/GHrMLmnVvzhRBy1bdCRNODIsaPMHD/KiX17FwXY2MINb30HY1usb7y+4ZGX1P+MlB6jWy5ndMvlvOad7yFqNmjOz1Nbtbrn96aHHnrooYcLCsYYdL2OnptDzc3Rfv55Gju+T2PHDqI9ewAQhQKla69l+N/9b5Rvvhm0YeLuuzn2f/wmk5/5c0b+w/vov/NOxDlwU6EW6rSf3UXrmZ20dtol3r8/86l3UgQBxDFISfHqq6m89lYqr30t5euvPyUhZbQmPnCA1q5dtHbuorVrJ9G+fSRHj2Gi7uGpKBYJRkcJ1o5RePUmZK0Pr9qHrFaRfVW8atXmqzYvikXazz9P8wc/oPHoY0x/9rNMOSupYMMGyjfeQOmGGwjGxtCtNiZqY9ptdLuNceu63ca0I3S9jpqeIpmcskTi1BR6fmmQNQCvvx9/dJRgdJTSNdcSjK7BXzNq09FRTKvl/B8eIj58iOjQIdp79rLwrYcweUsOz6O4bRsD73435Ruup3TjjQSjoyt7kD28oqGM4bl6i92NNoEQFD1BUUq7eIJSmpeCkicJz+NEeVtrAiGQZ9inNsYwkyhORAnjUcx4lNDSmlVhwOrQZ00YMBz4+PLkx421YV+zzZ5Gm92NFntcfm+jjTKGoifdvbH3Jb1nJXf/yu73UpYK93v39utrZcreD5/4YCUtyF8CjwCfxxKJ/9wL2tLD+cadd97Jjh07+MQnPsE3v/lNvvjFL9LX18eP/diP8Yu/+Iu87W3nzgyvWCxy//338+lPf5p77rmHBx54gDiOueyyy/i5n/s57rrrLoaHh8/4uFdccQVPPPEEf/3Xf82XvvQlHnnkEZ555hmMMYyOjvJTP/VTvOtd7+Ld7343QdAxqRwZGeHb3/42n/zkJ/nCF77AV79qnSJv3bqVD37wg7z//e+nUlk62/jBD36QoaEhPvWpT7Fjxw5KpRK33nor99xzD41G45wSiwCf+cxnGBoa4h/+4R/4whe+QJIkXHrppUuIRYC3vOUtfPjDH2Z4eJj3vOc957QcPbw4RM0Gs+MnmD1xnLkTx2jVF1xEWoOxoWhz6y6PczYthJ2VdgtCYjfbyLYLUxPMHDvK9PGjmUlximKlysDo2HkNsLEShKUyYakXDbeHHno4NUwck5w44RRR1szQ6+/H66/h9fcjazW8Wm1Zs0KTJCTj487U0SmWjh0nOX4cNTtL8crtlG+5hdKNN+JVXz5/oS8XjFKZeapaWEDPz7t0AV1fQM3Po+cXrP+2t9/xchf3nMJEEfXvfpeFf/yWfR/m5y2JOD+Pmpuz5NQif8KyWqV0043033kn5Ztvsqa8i8i5yutfR/2hhxj/1H/l6Ec+ysSf/Rmrfv7nqd1xx4pMX40xqIkJWs8+R2vnM7R37qT19DNEBw7gOgt4g4MUt2+nfPPNeIMD9nuo9eMN9Ltvo/NdoDXNJ56g/vC3qT/8MJOf+XMmP/1/IUolyrfcTOW1r6Vy662YdjsjENs7d9F67jlMSlp6HoXNmyleeSXBm99MMDpGsHaMYGwMf2wMb2DgjCcIww0b6LvtNsBGRW49/TTNRx+j+egPWPinf2b2f3zl1AeQElEsIksl/KEhvOFhilddhTc0hD88hDc03JX6q1cjS0tdtixG8corlz4TrUkmJogPHcYkMaWrrkIuMz7o4dygniieXmjylFum4oR1hZANxZD1xZANpZD1hZChwFv2vasnir0ZydVmjyO69jXb9Ps+2ypFtleKbKuW2FYpsrlcoLAMAWiM4XA75tG5hl3m6zw+36ShTh2oM4+CFNR8j37fW5Iu3rY4X/M9ilJk19hSmkPtiIPNiAMtuxxsRRxo2nQythZIVU9S9Tz6fJtWfUmfS6ueR0trTkQJJ6KYiShhPEqIXd1yMghgOPBZHfqsDgNWFXxqnsdxUIQTAAAgAElEQVTBVsSeRpv9rTZJ7hCrQp/NpQI/PlKjICVNrWkpTUsbmkrT0prxOKbVMrS0puG2NZTmVHf3O6/ZzmWlHz5XE8Kc7gEJUTHGrEAnnu3/IeDTxpiZF1u4lwM333yzSf2+nQ47d+5k+/YLx9dVDz28UvDLv/zLfPKTn+Suu+7iE5/4xMtdnAsG56JOUUlCc26WJI7RKkElCTrpTpWKUUlCfWqK2fHjzJ04zuz4cWbHT9Can1v+wEIgECDIEYfpNuGIRo3lHDWkaQ7l/gEGRtcysGaUgdExBkbXMrhmjP7RMUrVvhd13T28dFALC8QHD5JMTJBMTlq1xcQkyeQEamKSZNIuenYWf+0YhS1bKWzeTGHrFgpbthBu2tTz5dUDxhiiF16wg/LHHsNEbUo33Ej5lpsJN2064wG/SRLau3fTevoZdLOJq3xwlY+bACHbHqwdo/bWt76oa1Dz89S//W1rVnn0GPHRoyRHj1pCcHx8CcGzHGRfnyNYauB5JMePk0xMLPlbUSjgr1mDrFRo797dUXM5oqb8Kks0+qdwPXK2MEpZovPIEeLDR2x65Ajx4cPER46QHD9uTTDXriUYG7Ppuk7eH1ubmVeaJCGZciqtiQmSiUnUpE2TiQnUzIxVeUVO5ZXm2xGm1UJHkb3208Hz6L/zTtZ+7HfP+f1YCYwxJMeO0Xr6aVrPPEPTpSTKPq9bbqH86ldR2Lr1tG401EKd+kPfYv5rX2fhW99CLywgymWCtWOWmOvrs4RcXx+yv4bXV8Or2W3hhg0ULr98xX7xjDEsfPObjH/qv9J+9lnCzZtZ9Qs/T9+P/zhCSkySEB08SPTCC7T37CHa+wLR3r20X3gBPdfpLwTr1lG8cjuFbdsobr+S4pXbrX++s1T6q/l5Gt/7HvV/fpj6ww8T7dvX9busVilu20Zh+3abbruCwpYt57WtMcYQHzyImp5GFIuIMEQWCi5fQBYL50QF2sPLj/Eo5ql5SyA+udDk6fkme5ttUhZlKPBYHQYcbkXMLyL0yp60ZGMhZCT0OdyK2NNsc7TdqdcEsK4YsKVU5LJygZk4YWe9xZ5GKyPCfAGbSkW2VYtsqxSRwKPzlkw8EVmyLhSCq/tK3NBX5oZame3VEtoYWtrQUpqm1o48s0RZy+XnlWIuUcwkirlYMZvY9Vm3nI7QC4Wgz/fwBFlZ8r+tL1rC9ZJSyFghIDGGeqKZV4r5RLOgFAtuPc0XpWRV6LvFqhJXOcJwxKUFKZhw5ONxl4679ETbprOJYn0xZHO5wJZykS3lApvLBTaXCvQHZ/d9GmOIjSUfmzpNdZbeVKtQukgVi0KI7xtjlvVhdlpi8SxONgdcb4w5eRjbCxg9YrGHHl5aHDx4kO3btxPHMbt37+7yDXm+YLRGa43RyqUarRatawUGhJR2EQKZy9tUIj2J5wcv2t+e0Zpndu5k4/p1WRmycprOetxqsTAzTX16koXpKRamprJ8fWaaxuyZzel4QUBtZHXmp7B/9ahL19C/ag2lWv+LMgHO1I0YpDwzB+A9LIVJEky7jVEKWamcsVP1kx7XGJLxcTtgdIPH9t49RHv2kpw4sWR/USziDw/jDQ/jDw/jjwwj+2rEhw/T3r3bDgLTyJJSEm7YQOiIxmB0zA6C+/q6B8i12mkHhUZrTBxj4hjSe9AbuF2QUAt1Wk8+QfOxx2g89hjNxx5Hz1o3B7K/HxEEqAmrXPaGhijfdKP1/XXTzRS3XdH1XI0xxPv303zyKZpPPkHryado7dyJaa3cgKb8mtdw6V/+xYu6pvaePey94+2AJf6C0VH8MauICsZcftTmkXKRLznnX25uDjU7g56dwyiFv2Y1wZpR/DVrMlNHf/XqLnWVbjZpPv44je89QmPHDpqPP56ZPBa2bqV8y83IvpoNQtGou7SBqTeyvG407HcjJUiBEBI8p6SR0iqrhMDEMfH4+BIyzxsctATi2rX4o6PouTmrzjxyhPjYMVgUvE329yM8DzU9nSnY8hClEv7ICN7AALJYRBQKiEIBWQgRhSKi4Eia0G2vVmw9UcmZrfb1dcxWS6Vz4q5CRxFqZsaWWWvQ2rZjaV4bMBqTKKJ9+zIisfX00/ZaAaTMlHMIQeORR4gPH7b3sb+f8qtuoXzLq7qIxmRykvlvfpP5r3+dxsPfxsQx3tAQfbffRvX226nceutLSpoZrZm//2uM//F/Jdq9h3DjRpDSKhBz74K/ahXhpk2EmzZS2LSZwtatFLdvOyd+EU+F+MgR6t/7Hl61SmHbdoJ1a3vuSXo4JzDGMJsoDrUiDrViq7ZrRW7d5qfiTqTsDcWQa6olru4rcXXVLmOFIHsfZ+PE/X3MQff36fFORDHrHMm1uVRgsyO6LisVliWiIq3Z02jzbL3FznqLXfUmuxZa7G9ZM/8t5QI31MqOSKxwVbV4zs2ajTE0tWE+6RCOczniMZ9PjOmQiC4dLQRnbPbcw4WL800szgPX9YjFVz465IsjOHLkhnEdrSUmkbm8EIJCuUJYLp8yCnIPPxz40Ic+xKFDh/ja177GiRMn+MAHPsDHP/a7GGVJvPT9ATLzWgwYnOoEA0IgpYf0JNLzENKzqRBLOphaKVQSo+KYJLZpuq5OE71aCIHwJAKRfQOn/gPwgxA/CPDC0ObDEC8Iu959Yww6SVx5okVpzP7DR/inu/9gxfdUCEl5YIDq4BCVwSGqg0NUB4cp9w/ghyHS9/HcIr009fD8AOl5VAYGqQwMviKCkOgoov7QQ8zdey/tvS9QefWrqL7pTZRvuukV5xBct1ok4+N2OTFOcuKEy9tUzc11q3baqYonWjp4r1bxajVkv1WxeP01R9TVkDWrAjVxDI6My5aok49PHCfa+0KXvydZqRBu3kxh40bCzZsJL70Uf9Uqa7I1PIKslE85qDNRRHvfPqLdu2nv3k37eZtGBw50CMdlIIIgIxhNknSXOUmW/VtZqVjVTq0/U4Jl67UaIp2RXtTfyfd/hJSIILBLGHbyuXWk5+5dGxNFHV9aUWyfUdTGxAnBurUUtm2jsHXreY+AaSOcNtGNOqbZtIRSs4k/MkKwYcOLHogbYzDNpgvAMNMJxJBfn56mtXMn7eeey1R4ha1bsiihpeuvt6SFEMT799PYsSPzCRcfOgTYZ1q68UYKmzZZH2dPPZWpo0SxSPHKKyldczXFq6+hePVVltRw15aqqbsWBML3kMWzC/CUXX8U0Xr+eYKxMbzBwZeN2NBRROvJJ2k88giNR3bQePRRTLttv4VyGVkq2TRdKmVEuWzfY20cWaazPEZjlCXO8Dzrh27d2oxIDNauRZZP7hLCKGVNMA8fIT7aUTiiDf7ICP6Im4QYWYU/YicjLlQTzfq3v82B/+XfrPwPfJ/Cli0Ur7rSvpdXXUXhiiuWmLPGhw9Tf+QRSw5/73vZu+719xOsX2/VjcYQrF9P35vfTN+bb6d0ww3nbPJopTBKMXffV5n5/OeRA/0UNm4i3LyJwqZNhBs34vX1rAt6eOXjRDvmC8em+MqJGfY22ywsUhmWpGCdUxmuL4ZsKRcyInHgLFVu5xL1RKGAmt+bsO/h/KJHLJ4BfpiIRWMMWiUk7Yg4apNEbZIoQiuVEYcrRZdppFu0VmilM4KxUKlQKFeQ57mT1MNSaK3RSqFV4lKFTjp5pRKElPh+gBfYxQ9CPN8/JQmltUYnlrhLCTyVxGiluf7Vr+HQ4cOsWb2ad9/5Du765V/q8iX5YiCEyIhGIQUqjtGLCAjpeXgp+RdYok1I6VSIXqZGTNM8TEaYW7WCyVSE9htScUwSRSSxXch9Ol4Q4PlBtt9iMsOWx5Zrz7596PGjHWWklEjpdakkg0KByoAlEcv9Axfk95T6XmrvfYHohb209+4lPnCQYO1aG4nwhusJ1q077aDcJAn1736XufvuY/5rX0fPzeENDFC4/HJnShkhKxUqr3891Te9ieobfgT/NP5Pk+npLlWemp21pFAcoaPIEkYZUeTWtUb4frYQ+Ag/6N7m+5AklgxLEoxKIM6tJwkmiVHTM13mYxl83xJ3q1ZZv1PFwrKqnXQd6Vl/Y3NzmdP+rvz8fMfvlIvG2EWW5RZvaIjC5k2EmzZT2GSJRH/1SxOsRkeRvQfzc84v2jxqbt6tL9h0bh7TaiHC7nLi+y7vrkUK1PyCU4Tl74FTh83NnZGi7ZzD9yls3Ehh+zaKV2yjuH0bhW3b8IeGsl1MkqBmZqypqFuSySmSqUn07Jwll9N3Mns/c0scWSLRkYinul5vcJDitddQuvZaStdeR+naa06pMlJzc7R27aK961laz9q0vWfPKc8hikW8/n4KmzdnUUdL111rzX5XgPjYMUsyfn8HzR07aO/bT2HLFkrXXEPxmqspXXMNhS1beirVRejyddvDi0J8/DgLDzxoVZ1SgnBqTumUnaKTD9ato3D55WelJIyPHKHxyCPUH3mEeN9+yq9+NX1veTOFK67oPcceengJkGjDA1NzfO7oFPdPzqIM3FKrcF2txPpCaInEYsj6YsBI4Pe+wx56WAY9YvEMcLESi0ZrS3pEEXG7m0RM4QWBVVk5wiVPsuQJmIzkEMJ2rliqFgPnT6nVpF1foFWvo5MEIQRhqUShUqVQqeB53YMDS3g5givpEF8rfU+llyeJXOrlCJqXoZHISCmlusxvMwJXa4TnOWVZkKnKVnpsrVXHh55SHXNepXNmvfa8eRXqcpCely1GG1QSoRfN4nm+n5GNUkpHIqYEYjeZJ4RAuuuRTl1on4ldF57MFIhCyPSPEED2nyDz7Wfvo3aktcruYUaOOuWj5/uWsPNDV1b/vJnhGqM7RGPUUSNK3+siEb0gzNSWKS70OsUYg0nN6ur1LE1mZoj27euYzy5Sv4lymXD9euJDh7LIkN7ICKXrr6PsyIfiVVchi0VrcvHoY8zdey9zf//3qMlJZKVC35vfTO3td1B5zWsQQYBuNKh/5zssPPAgCw8+aP2bCUHp2mup/uibqNx6q42QucisNzNVw5EgQ4PIILTEWxha8i4MLakVhlZxJr2MGFyOLCROMEpZZUlKOnreUhLS8/AGBvBXr8Jftdqmq1dbMnFg4JwrR1Ozx/OteLmQsETlmW8D8nml7POMokXKztx6otw7Yt+L1HQzfU9EoQBSdiKU7tplgws8+yzJsWPZqfzVq5F9fajJSdTs7LJmokiJ19eXex/zS0dJKcMQWS4jSiVkuZJTqXUUa6JYIj58mOYTj9N64gnau/dk5wwvu4zSdddSvPZa/OER2s8958jEXVZx5uANDVk/Zlu34q8asQrZAReMoX8gC8bwYhWBi5FaP/TQQw899NDD2WB/s81/PzrF549NcbQdMxL4/PToED8zNsTWyrlts3ro4WJHj1g8A1ysxGJjbpa5cesnSwiBHxbwCyFBWLD5MHxJlU/GGOJ2KyMZlfPXEhRLCEClBOJJCK+VDCw6JrMnx2KFmDVbDZaYrObLrbWy6rvMpNaSReYU5nymc4AzVn+CJUilH+D7PtKpBoEcgdgJxrHssQWZ0k0uUr6lxF5KYNrFX0JypdBKdUyJ4wiVdEyLjdbWrDbw8f3Amt4GQUaSnuyYPSyPF1un6GaT9u49RPv2WeKv2cS0muhma2m+2bSmpSnRnKZKWRM5ZxZnogjVqFtfXWmAhJPAX72acNMmq3rb6Hwwbd6cOXA3Slmzxsceo/noozQee4x4/wH7x0FAcds21OQk8ZEjiEKB6pveRO2Ot1F9wxtOSVgYY2g98wwLDz7IwoP/SOvJJ7t+9wYGrFnvpo1WlefUecHasVeEGXgPr3wk09O0d+2itetZ2rt2ohtNvJFh/MEhvOEh669y0EUJHR4+afTgcwG1sEDrqadoPvY4zSeeoPnEE5mvQ6Qk3LiR4hVXWKXltm0UrrgCf9WqXl3eQw899NDDBQFjDMpA22hibQNptLUh1obIGCKt2d1o87mjkzw0vYAEfnSoxnvXDvGW4X4C2WvPeujhbNAjFs8AFyuxqOKYqN0iCAt4QfCyDhCMMSRRm1a9TtRsODPW1Pdbh+TqpCsjpzJloDPBTgNwZCo9p2jL+9zLwyrxLNFoFZ7xUsWeAM8P8IMA6S1jiiUWr1pTmiVKSq/b/FZrhXaqv8VmxCpJMsI1VQB2+cxL/eil5OBJfA72cOFjpXWKUYpo/wHazz1nl+efo/Xcc8QHDi5P/AUBsli0DvLLJWSxhCgWnDmp58y8rLkXqXrU8zK/c5nfrko5l8+l1T7Cyy49K99LydSUIxofo/n448hSidrb3kr19tvxqtUzPh5AMj5O4/vfxx8etma9OdPTHnrooRvGGJIjR0imZyhs2XzOVYc99NBDDz30cKaItWFfs82eRpvdjRZ7s3ybqTg5nZYEsIFWfnZsiPeMDrG2+Mryx93DKw/1RPE/xmf4mdGhi3Ycfr6JxfuAf2uMOXpOD3yecLESiz0shdY6U+EtDqYhpJcRiB3T1eBlIWVT1STwsplz93BmMEplPtC0M6W0DvINaOurMYs4mQt89NyRI1Q+/nvWl5znge8hnGuCdJteWLB+zlxEUKQkvOQSCpdfbpetWyls3mQDYJRKlkw8R74se7j4YYxhPEp4rtHi+Uab3fUWzzdazCSKq6slbqxVuKFW5opyEb83499DDz300MMFhJ77hHMPY1IVoFuMzvKpUlAK6PM8+nxJ1fMoylMLHJQxTMUJJ6KE8SjmRJRwoh0zHiUZgbi/1UblaIpVoe8iKRdYHQaEUhBKSSgEgRSEQhDKTn448Lm5v9KLSNzDS45Ia+45Mskf7jvORJzwDzdfznV9Jw949krGqYjFU3q/FkKsWOZhjJly6dvOrHg9XAwwSnX7pYpjMAbZ12d9PF2AlbqUElkoEJyF0+3zCSHEEl+UFzuMMfY9arcxrZaNvOqINFkqOX9iZetv7HwTvU792hWoY3FAhcW+Jj2rCsT5J80ilebVpUIiwpDiVVc5k+QEkyjaRjPrhcwEdmlurOD9+NuR69bhjY3hrVkDQYA2Bo0N8mkwhEZSaCkKUZOCaFGQgoInbSokoRS0tWEuUcwnijmlmE3ziWI+0cwlisgYPAG+EHiILO8LgXR5AbS1oak1La1pKkPL5Vu5fNXzGAl9RkKf4cBnJMjl3XZjYCJOmIiSTholTMRxtk0beFV/hR8ZrPLagSr9F0CEvlcKjDEsKM14lDARxYzHCfubEc83Wjxfb7G70WYm6by/FU+ypVxgwPf46vgsnzs6BdiIidf2lbm+VuaGvjI31MpcUrTfozGGhtbUE828su/SglIsuPVY23dVZe+swaTrBjTWyXpDaxpK0VSL8krT0AqB4OfWDvOzY8M9s6YeesB+3/NKMx0nTMeK6ThhJlFMxQkzsaKuNMoYErdoyPLKkP2WmhZmqemYGCZu21DgM1YIsmVtIWCsELK2GDAaBhS9npuJHuw72VCa41HC8SjmeDt2acKJqDv/ues2cWPtxUULf98z+7lvfJaSJylJSckTFKXM1otuW8mTfHTTWtYULoyJ14bSTETOTZS0fazALb5b986yv9tSmsk4sUtk06k4YSq2fb66sm10XWkW0vZaaepuW1ufuQgpECIjGft8SZ/nEUrBpCMTJ6OE5ZxflaTkslLIldUi71g9wOayJRI3lwq9vl4PFxy0MfzNiRk+sfco+1sRtw5U+KtNGy9aUvF0OKViUQihOa3XOgRgjDEXhXf4nmJxKYwxljxJHdlHKXkYQRxj4gSjl/E3KAQYg/B9vFoNWetHVi5MkvGHHdkzzgUqEFK6SLQuAus5fG7GGOvLzwVMIEky8tC02+h2BKbT5RC+bwMjgPUNmJqGe54lGR3RKEulLFqocYrA1H8gqQ/PNHUqwdR02GTrACbzj5knENMyL4EQWTAFEYYuGEhnPfWVZnIDuCQ3uEvX9z33LH9sylmHbzpOWFDL+x19qVHxJDXfIxQChSV8ssGoyytXdo2hkO+wu3xRSoquUx9KwUJiO7cTrmMbr1AxX5AiIyFHgoDYaB6ZbdDUGglc21fmRwar/MhgH7f0VyidYkBrjGEmUdks+XDgc3mleNYd9hcLYwxTsWJ/s83+VsS+Zpum0gwFPkOhb9PAYziwBGzFk13fojGWHJ6KLXmQHzBMuXs9voiYXW6QMBL4bK0U2FoucnmlyNZyka3lAmOFzrdvjGF/K+LRuUa2PLnQoOWO1+/b93w+UcsOGM4UnoCyGxCWPdmVL0nJiSjhsfkGm0sFfm3TGHes6u+1Lz1ckEi0YUEp5pVmwU3gzCvNfKIcaa5pKpta4ryTbyrdTf5huurflAycSzQzSdKl8FmMYo6gWG6SyBcCiVP9OPWPLzrrgUs9IZiKE460Y462I+aSpV98Wm9VPY+qIxYqLq16kj7fo+JJKp6XHTclUUJXlg7BYpvmbPIsNymRTlIYLJlRTusLV2eU3fEXwzil1XxGqFgyZcHd8/T6Q9lpw0I3MVdwSilt7MRZ5I7V1paEiXL5kpuc2VAMX7Z2ZqWItJ10GndtRV2prsnBptK00klEpd1kosne02buXc7yWi/7ToZCsLrgsyYMGC0ErA4D/tf1I2wuvzhXDH9zfJqnFpqurJqmNp28+7Zayl7Dl2/YwvqXwDzWGENTG/utq85EbUqsjqcka+Ty7Zj5FfT1BHR9h/nvJv1WU7VeYsj6A/WTHFsCVUf+VTyZfavpesWTVH2rPgzdhHQghX3/ReebCITAQFavLa7jFpRiLtG0tWY48FkdBqwKfVaFNr869Fnl0op/UdAJPVzkMMbwwNQ8H9t7lKcWmlxVLfLhTWu5bajvou+HnrUptBDijSs9iTHmH8+ibBccfliIxYx0UWpJaglESxymRNNiv23C8yyREjjSKfAhW/et6aXWqPl59Nwcan4BjEb4PrJWs0RjpfKSfHwZQdR1XRq0stvTsqfmpucJRuuMRDOLyCo8H1kIlxBRZ3WexYTa4nxeXZqSxMnSZ9wFIW350gilhQIyLEDgL38ObYN/2G0KkyiMSlz0XHfdy5xPBIE9dhpttVC05/U7s5TGGEs+NhpZEBLdanWO4fuWFDxFcB0lPbSUaCHQQmBc3giBFhIjBUZItCfRno/23P7SQ0uBEgJNunSCywpSN5vCihKzdbJB4MkgBYzv2c3vJ0UG3YBsKPAZDDxHLtl8n+/hAdIpBT03KJTYND1f7MxWWm5w09barXcGPAUpqPkefZ5HzbdEYs1353iJG8aUEJtwM+ipOhGsuctIGGRkYnURmQbQ1pofzDV4aHqef5pe4AdzdRJjBys391d4zUCFRBvG44QT7YRxR6yNR0sJzaonuaFW5uZahRtrZW6sVRgOz2xm3A4wO/e27QZc+fWm0hxtxxmBuL8Zsb/ZXjKg8AUkJ3lXQiEYCnyqvmQmVkyfgkgIhGAk9FkV+Ay7TvxIELj7m677rCuGDJ6lEiDWhl31Jo/ONXh6oUkghSUQHHFQzdLOgKUgu9/ZTmrfZ+FIjvA0vmKNMXxtco7f2XOU5xotbqyV+fXNa7l14Ox8c/Zw7pG4OiglIFpugN/SBg8y8rxvmW/8dIi0ZjZRTMdWZT2bW+ZilyadtK01BktQpVWAsWHfshl0D2EH1CkBlhJiboDd5wirVk7tveAGz/NOlTuXy6ekQvMkgekWQ8AiUsyS6SmZ5wscKbg4L6h6ksHAZ9D3GHDtxoDvMRj4DAQeA77/kil764niaBRztBVnZOORdsx0rLrUyvn8qdrDcw1fuPsqPTxBptA6WT37UiAUgk1OfbW1XGRLucAWl1YdmdJS9t6k7+x8orssCTwBBWmJzaJLF68DXW19ZDr9gLRP0FA6Mz8dd5Ns41HSpVY/GSRQ8tLJQ5G9o4snflKFYNmTVD3JmkLAmjDIyMQB/+Jw7fPrzx/isbmm+9Y79cGpvviyJ1mTkWoBawo2PxL6CMhUw4kxxMbWo+nkQl5BnJiOOXKXwtiZJqcTksOunh1OJymdpUjN93pmwj30cIb4wVyd39lzlIdnFrikGPIfN47yL9YM/tB8S+fVx+JKIYT4WeB9wLWAB+wC/gL4U2PMGYsdhBA/AfwKcDNQBPYC/x34z8aY9kqPc7ESi2pujuT4CassVHp5hWEOwvMsgZSqsPJpEJwx8WWUQi8soObmUPPzoDXC85BdkS9FV9J9gJxvutQvne7kLZllLImVblsJpLQEo2/J0TTNmCKT/de1btIy5UnMXD5fvkyVd7KI11IuiYad3f+UyHMmv0apjtIvlydx27Q66XmWnDd9likhHAZd29Da+gdMlYRRZFWFUbSye5udSFg/gb4Hvg9+gAoCtO+jfI9EeijpYTwPI4Qd6DnhoB0AdgZ+KZHmZ4tbNwbZbiOaDVtOKYl9n8jziaUkFpJISGIhiE4fPLwL0p0jJT08YUm9lNyTwhYuPzhNB67uTcFk5V5c/o5qRArxiqpTLjTUE8V3ZusZ0fjUQhNPwKqgMzO+KpsZ73Tij7Rjvj9b5wdzDZ6pN7PB7qZSgRtrZW7ur3BpMWQ6UUxEMZOxykyJ8mZFKxmQpQiF4JJSyKXFApeVQi4thVxWKnBJKeSSYoGSFMwrbZWHjnTNqxAn44SFRGfkwVCOfM4rHBerGy9WKGP4/LEp/uCFYxxtx7x5uMZHNo2xvVp6uYt2zmBMx5dVqrxJCWvoTDTItI7KTTRIIayyK1Ua061007m8NUm3RLmC7O/yquX5ZClpl6bpUncE4kqJm0CI7D0ezql1q55kLlHMJIqZ1Lw3sWa9p1NzF93ESb+bMClImU32pBM/4IKsuW2JMdQdMZCST/OJPmWbIYGa3yEhUyVeOlGTkut5orLPkZQV3+siEU/nl2w5JNrw+LxVcOfNDiu+Pe65rgPSSZSiFGc9kDLuGAtK0VC6ixRJliFKEmOy9j99p2UuFcy0vdoAACAASURBVO6dj42h4Y6ZV33mlaDKGDvR4cjiVKmVmm1WHVGWkjYtNymXEnRRjqBL1ZyporEgJQUhMtcjoRDMJ4rdzTa76232NFvsrrfZt8h33IDv0dRnZ3J6tujzJKvC5dpHm44EPmXfkYRSUnTvZ3CaCZ+LFbF275bW1N37VFeaPzlwgiPtiEqm+rPvVc2X9Hk+/a4OqnqSgieRQGRM5q5gJlFZfj5RhFJkExnlVDWYUxBWPInvFILQ3d/MbxN0+pZ+6s5mUb8TYDpWzpKk07+ZiGMmI8VEHDMVK0pS2ncipzBcXQiyvtSq0F6nZPk+cupGJ3WVknfbk7o/Sbcr9+3n27hWbpI8TRtK5yZ3rCJyQaUkvM0L4Ob+CrcOVLl1oMqGXvCWHyrkLZSySRlXZ6cTMovbsFRtnLoBqCtNPesPaP7mxDT3js8yHPj88mVr+J/WDhPKHy63H+ecWBRCjAJdX6cx5sAZ/P3dwH8AWsA3gBi4HegDvgy8+0zIRSHEXcAnAAU8CEwDbwRWAd8BbjfGNFZyrIuWWKzXUROTNuKr9Gzq/L7Z1EN4LhLsS6zkM1qj5+dRc3PohYUlpJrdaVFG2OjKtvfootZK65cOKbKItjZ11yc7kW1x0ZiRoqMUjOOOcjDNL6POzEoiBMqp1pSUVtkmwEgJTuWGsEo3pFW/GSExnsQ4hZzJ/k44tZy9Qgl4xuBpjacUXpIgkxgZRXhRhKcVwhgM9rgIgfE98DyMzKVSIhbfF7d//v5pKVGQDS4zk6rcgDPtlHi5DonnOgueSpBJglAqp/zrKAC1sEo+jXDnMV1mtKdDXu0n0oEEdPyynewYTvW0+HdPYB08OxOR1LxKuuPbAYodmAh3DJn7/XzhlVSnXOhoKr1sp+FUqCvF43NNvj9nicYdc3XGnYoyhQRLfrgZ/44awMtMwAtSUPSWV5WsCa0/slfKzObfPHqYP/iHZzky02TtQIlf/fEr+Kkb1r3cxVoWTaX5vw+N86kDx5lPND89OsRdG0dZt8xgwrolsKq3VNnT0N3mqHlTvoay5nMpyZGmSY742DtR56mjczRjRTH0uHy0j9H+EpoOeZf6kswTe0muHk5y22NjMnVfS+lzYl5+LhEIp3h25EPg1KbaEZOJgQRDnFNLt5Sm5drYUMD2aokt5SKrAp95tdSkfz7R1HyPwcBjwPcYcMrtQd+q8AadKm8gJRADm/Z53jnz8bfYZ2hDaUpeR9H4UpB3p8N4FPPA1DzfmJzjwal5Zk8ysSEhUw6nJo22HXcqYTfo70yg2evIm76matM0n5JfEhhwkxiDbkLDKiY7kx0FaU0yF38zSe7d15iuejJcVG8Ws3ZbdkyzRbfJdGYGKjoExoWMSGv2NSN2N6xf28OtyJJRnn2Ha46Y7ktJaUcyxc50eyHR1LU1OU0JrobziRfn6hBlDLGGyKQkjaGtFZHOvBU5E/OU4LETu6mZeb6eWq4vlxhDIETOn2HHr2F+vehUtycz4037ZHkT8pTE7VpPz7eMOtLmbVmMISPs7KREZ0JiJlbMJImbMOh0FkVO1ZB/fVru/kYvkRDHEzDg23qt5ntEOVJjwT3X8wVP2P7NSNDxfT0U+DSdifwJp2wdj+LzqvY9FQTW6sRO7nR/M02leWS2nk38ri8GGcn42oEqlxZfnJ92k7XTHasgWCQ0MJ1taXlfjGWQdtY+M+7bz/vHzfctrMsMR9Sm6lZX/0amo3ZN1bGVVPGeq9MHXXu6uL+aaMN04trpSOVc8NjvCsjGUuk4Lm2N7YSn6FgLnERIYrCT8OWMUPdy+c42heFIK+ZQO+JIK+ZIO+KwSw+14tNaC/g5Fbj99k49kVjxJO/bsJp/v2FVpjT/YcM5IRaFEP3Ap4CfZhGpCLBSH4tCiHcBXwSOAW8wxjzvtq8BHgC2A79kjPmjFR7vZuB7QBO4zRjzXbe9CtwLvAH4pDHml1dyvIuVWDxT5CvC/IefarBSIV+nAnC/LlJu6Vwlkc5OdfJ23RJIHcVAui5Fh1wid8x8mdISLamcTqF6y2PZKj3tMJGvoJeSVWeCxWRVJ7XXqukeUJ5PIXE6oPCyWUWbN9DVYK2UFAQXlyQbuHRmSzszpixS7bnBACsbEOhc53axv0Jt6PKNFAr5ioleezHXKa9EGGM42Io42o4zMnHgFWI6tBJC8HT7/M2jh/m1Lz1JM+6QFqXA4+PvvOaMj3U+95mOEz61/zifOTiO0gYaCZ4vKZcCpCeygerZDtcEEDqCJnB1WJJo5puxVc67xkcAY7Uig+UwU1V1q5+Xqpi9RXVjSlCXHMFSyCmHSo5oEXR8z2UEQU4VojBIFk0Q5VQknhB89ugkfz8+u6jjbgmpSqbk8ih5kgWlmIgSjrYijjjF7mKkKsHUxUK63tnusa8Zce/4DCeihKIU3D5c4ydXDfCW4VrPz9YiaGN4fL7JNybn+MbkHI/NNzDA6tDn9uEatw3VGA78TLGTmmMu5FSXC0rRVDp7T9K2PU92p1RLR6W2lCAquUFY3amqpx0ZPB0nTLtAMedTebcc8n2M1Iw8kPZ9D3LbU3LLF92Ely+EDVajDW2js3wWGddFxU2VYVk/dlG/NW0qjCGbvM1/n+l9T5VbeZLvXN5BX5Cp3lLTZW/ZiVQ3wUqnb5jWS/l6KvXJ6SFIjPVXmBLP3b4WO0Hd0vt1pkj7cynRnDg1W+MMJluqnrQTEX7HLUCfLzMiPV+yfBkNUJQyu2+d1N1LpzSWQhBpnanKY/feRFneHjV1U5ASiYMrcAOh3fWmRONCzo1A97ipuw9tUjJY2zQlmvOTWdoYBlIi8Qz6NzpTgsWMu8A78y4w1OL6Ja9415huNf0iZX06Lgpz5v1pu5e2g2kQwrK0bUt6/09V1p31Ft+eWciWKdenGSsEvKq/QknKzH1QnD430x2wKu/axqom7YTL2X6nAuhz7eOA31G29ucI5hlHjE/HitmUGE/UOa0bTod0AmnQ9zFgA4GdwkKn5MZbVoXaaVPSCYvF6Ly3uXrUrZ9NnbE69FlbCFlXDFhXCFlbCFhTsAEu26bj/zZyEy2R1rSfeYb2d79HYXqKchBQ+dE3Urn55m4S8+tfp/KpP2L9449SGx6C3/1deO97u0/+2c/CRz4CBw7AJZcsv89FgHNFLH4GuAX4j8CXgH8DrAPeD3zAGPPFFR5nB3AT8D8bY/7bot/eiFUcHgPWrUS1KIT4IvAu4D8ZY35r0W+bgOeBBFhjjJk53fEuVmJxIVGMR4ntvND5wFPCLS9Dh5VbEl/IWE71tlzTs9ylpgO/xR2qvHov7YRllWDunOQqxrNRvalcByAlzow5+TWl5+Ik19iNpaYJK0V+BjuN6LpU8XDhqwUuVLyS6pQzwfkknc73+S7UMp2OEDzVPu+4bi31KOEt/+UfOTa31JPImlqBr/zC6ykGHkVfcs/jh/j4P++lXXBz0okmRPBzt1zCbVtXUfYk331+gk/d/xztVoLxBIQeQdnnHa/ewNiaCuNRwuMn5nl6cgEVOsV1rPESw1Wrqlw9UmUw8Dlyos7f/+AIcStBRBpiRckIPv6TV/HOG9d33YO77nua+royJpSgwQdeu3GILSNVPGDv8Xke2jVOkmjQBqEMgYF3XreWWy8boiwlj+6b5i++tZeorXAMAEVf8m9fv5GbLh2kGSuakeJ37t3JbDNecq/WDZT45w/dtmT7hYZvTM7x7ZmFTpR4p85L1yfbCS3XWgplGAt8rhgos74Ysq4QsK5oO/DP7JnmL76xm6PTK3uHxwZK/IvbNzLdH3Dv+AzHHcl421CNn1w9wJuHa9akn5O0K64jbw4coL1pM63f+i2a73pXFnCiqTTN+++n9d/uIZqZIVmzBvUzP0vyutd1q0a/9wjqvnvRM7N4tRr+2+/Af/Wru4iolEiWbuItrw5JSaK8afnigB55f7dpGmuT+cnNLAJEx/eoJ2y02IemF5iIEwRwY63Mm4dr3D5c4+pqaUVEwPmsy1KF51SsiJy5cHoP0+i2qSsT3/Vj8vcqr/7JzB+duXReZRMZQ5xoorYiihRRrIiVtopIbUgcIagMTrGjSTTEdMiVGEOMm5x0+diRIllQjPySTlg6Uh8DRhuMNmitMcr1q7VhthExNR+RaI0nBav6igxVQzwpkFLgS4n0BJ4nkRKEAWlsKozJrRuEtmngzGlDTxL6dikEHoXAIwxsvhR6VF0QjHRQXLhATPVS9dTJIo3n1f1pejJVl3HvwHKBY4Dz4lv0lYpHfveP2fCff5vVM+OcGFjFwQ/+Ord85BfOer/TYaV1y0rOd7J9jGPvjTbw15/H/M7H4OgxzIZLMR+8C972dowy6FjxfKvNd5otvnPgAI+pBGM0gTEE1T78asUqpN33HkxOErzwAuHCAkU/oLBlC+HoOgoGCtoQaijsP0ThmV34jaYNNHnldsSllyCkcAuwdy/yu99BLcxTHx5i9tWvYu6SDcwazbwxzGrNrNHMNZrMaUUYRQy0Wgz0VekfGbZqfd9jIPQZfOpJBv6//5fyof0EQ0PI974X/0d/tDNpKAT+/ffjffpPkUeOEI6MEPziLxC84x22LkbjmRijIvSXvwSf/hPiYydoja5n9v13MX37W5x5vps4emYn008/g6jXGVYJQ6+6haGbbsgsd4YCn+G//QoDv/Fh/IP7EOs2IH7rt+Fn//WSdlvd81mS3/kEHD0K6y9Ff+CDmJ94C0ncRiUttGqj/+lB1N/+Df74JKq2muhf/mtab/wxmlLQENDEUP/ud2j83d/B9BRjfsjoT72Lode/kYW5NhPz80zMzzLx7C6m9u5lRgiSYoBePYKuVdHun0KjF+bRU5N2ixAkwkMLieqroQoF2563Y3SzhcK6IBDGiqJkuWRdlgmBaLWQs7MIZ2H4O5/7E9ZPzcGf/dlFRy6eK2LxEPAzxpiHhBBzwI3GmN1CiJ8B/o0x5i0rOMZ64CAQAQPGmOZJzrMOeJ0x5uHTHC/Emj2XgS3GmD3L7PNPwOuA9xpjPne6Ml6MxOJ0I+LIQpsktJ3z0JMEnugy+xRApDTNtkJpgycF1YJPKfC6SKtWpJhrxtk+A6WASsHvkHZCUG8nTNcj3nLT1Rw5ZC3kP/Crd/G7v/dxdy573rlGzPG5FpHSfOT9/zt/96UvAPCGN76R+7/5TYyBuVbMxILtmPlSMlINqRWDLv9Ic82E8fkWsTIEUjBaKzJY6RbVTjcijs/ac4WeZE1/kYFSYP02xtouiSZuK4STcRtAug5gnjVMtKGZaLQxSCEo+pLAk3kJpe3UKp2pVnxv+c6R0galDRGGWAhKZZ9KJUT4zqT5JGUfLJ/++hbvczbHipt17vvi/8M/fuNrPP3000xNTRGGIes2bOCq627ix9/xLt7wptvOa5nO9z04n+c79MJu/tO3Znok10n2+VC6j/seS6HHf3rHlfzENWPZbPh9Tx7lY1/dRSvp+FotSMlH7tjOW68axRjD3z95lI/du5NW3PlGi77kN++8ijuvX4cUgr97/Agf/vKT9jgO6T5vvWaMRBn+7vEjfOy+nV37FHzJr7zlcm7fvjpTTX/9meP80Teep52b5Q09j3/7+o28auMQUaL49vMTfPGRgyht1WUG8KXkDZePcNlIhVgbnjs+z3f3TmXBZwS2A7lpVYVa0SdKNO1E88JEnUSbTIuRQgroK9rgRgutBE1nH+n2k9bhgl2EXZdO762RxEFAHPokgU9c8FGhh/ElCDD5xsIVUKIJiPFFTEBMKGJ7LGPPpPEwCDwj0bFBJAKZ2GJr4dxPeBJ8SYRTjhvACJc4txNSECAJDAQGTKzxlaEx0exUzZ0qugPTmREXro6XwiCFwZMuFRpPgie0vUMGTHp+I9BG2LhVRqA0rBkM6Buukkhb5kvWVKlWQqQvOVZv8+xEnXimzdbJhH//xs38xDWj9ma5W/fVp45x9wO7OTbXYk2tyC/ctoW3XjPGYnz1yaP88Td3MzXXYn1fkX/32o3ctnUEk3TatO89P8F9jx1hthHTXw5423VruWXjEAjbDiMF33lhki/+4DBT9YjVlZB3XreWWy4ZxFjWjMf2TXHvY0dQ2iA8KCqr4rn98lVsHanadlQb9p1Y4NEXpsBYs5YCUBaSzYNlBgIPk2iajZh2MyHE+q6ZwjAjDGvX1Vi7oY/Ha5K/DxT3LswyVQiWXLNVubjmWBtkHCOMph2E1i3JBQoPKAph/e8BRWEoYvCxaiJjdMenJamS0E7gecD1XpU3+CXe6BcZylycAFLw/f3TfOWJI0w3IgbLIT953VpuuWzQntjAjn3T/PUjB2grlU0ke1LyM6++lFs2DWXvwF8+vI+mC3AjgZL0+Jc3refqtTXiWBMpzZMHZ/jmzhMoo7NJ1FAKfuLKUa6/ZICCb0mvpw7Pcd+TR5hqxgyWQ95+3Rg3XTZsrwmDNoLv7pvkK08cZbYRsaoU8mNXrOKqVX0kcZskaZHEdjk8PcvhqVkEDUpBm2opQsgWkWmiZIvYb5F4bRIZ4WmfYlyhkFQptGsUoxrFaIBie4BiUsFHkoapyk/MkttmsrpQLLF0MbkFrGpBYUhcPsnl6xiaTi3cj2AIQRVJiXTq+dxCZ8Sos7jxJcoXJL60eQ8SX5JYFpuCgdDQSTUUjME3gnozZr4Ro42xgYGKPsVMRWysH7JYM9+2ggUPQTnwMrIVR4xqZX2ja3dPDAItyd0viLVCJYntUxuFCAOK1TK+L/E9ie8LfN9jrhVzYKZJQyk832Pj6iqjQ2WQZG3A/pkGjx6apR4n9AUeV432s7ZWQCmNUgajDONzLY5ON0mUHVesGSgy3FdwdaIjggScWGizZ6JOK1FUfI/to31cMlh25Lhtnz33HQary/S9Yf2yz+Wkz0ubzIetNp18ZmGVvmSm2yps7luHUM0YozsKV5Oqj1P1q9vXE/Zbl2AJbWDi0adZ9cg/E6oYaTQIj8gPmLz5dYxcf6U9v4HxJ3ZRe/IxPEBJHyMliR+ysHk71UvWWkJdGSYnDCeOa+IYPF8wOioYXmXvI1Iw1YiYeuEgl00cpBi3aQUF9g1vYHDzJayqhGgnz50/eITS4YMIA7HnEUmPlhdSHx6BWh+RMjQWGqhWk1hY3+laSBIpUZ5n60232LwTP2SLyOW7l7ReTBfjjpMpiBf93r2ffTqt4gRxOOvOL1zdIJxiU7h63dYpnjD4QtsFQyA0vtsWYPCFITGCNtA2srNoj7b2aRuPSPskuqPsNyepU4wBhUQZu2gjUcZDL2NoKtCEXkwoY0I/IfQUBWLCqE7RtBEYEuGTSI8kLKGER6IFiRIoLVB49thaopG2b2Qkxp1XI5Y976ngiwRfJgQyxpeKQCgCqQnQBMLaPc4nBeaTIg116ojyAo0Uaf9Wu9T288D28SQaKex+Etv/s31C7frH3RaUaUuYfrPGtRt/9T/+kO2PPgGXXgr79p3RNV/oOFfE4gJwpTHmgBDiINYP4neFEJcBTxtjKis4xk8CXwEeNcbceJJ9vgz8FPALxpi7T3O8a4AngCljzPBJ9vlD4JewQVx+9XRlvNiIxelGxOHpJhiTOb0WQjBSDakWrKwZA/V2wlQj6lIqCgGD5ZByaCuBeqSYbkRdnSwBDFY6+zQixXTd7nPbq67JiMXRsTGef34vnuchENSjhKmFCG0M9fk5XnfDFbRalmf+kde/ga/edz+tWFNvdRQgxp2wWvApBB5CQCvWzLXiLnm1AGqlgGLgouxFirlW2qWBAEEAhIis5XbjVNrG8Pv/58f5o//ye7z/Vz7Er3zg1wh95yjZgNLamtbly4QlINNBqXazsPnfAYKUpHTQzkQCYwcdPjnzGQBpfTA2lVNBuB8EUA59Qt+WKUo0rVgteS6FQOLJtMmERBmiZZzQh74lmkEQa007tvt86xv382vv//fMTE9RKBa5/sabWDM6RrPZ5Plnn2Xf3t0A/Ngdd/KHn/lLioFnCVYsSd2K9bJlCqTMtifKEiGL9wt9ie9ZLejJ9imG9nwCiJWmES29B+XQI/BEKsQnTjTtRPHlz3+Oj/7SL3LnT/8rPvapu/FyPrKUMTb+zqL71PEL0jG1X4zU9Ds9v3EdxnyZ7H4ul+swYuDo/r189OEjaEzG+Kcdm1h3m/MLsCqHnNlLV5mMQBiBRCKNQBppX3It6GjBTTay8jz7fhqBM8031ocoqYmlPabGxgdS2mBjBbnzmrRcxg6aHKuWdnS7Cp7O+qVjkEXbO/eGzn/5lny57fnf0nxKwK2smbuwIUjdpdrZb5Hj8ERuXXT/Zu9t3tF7nm4US+9x18i5s82kf5v9bhDaWN+vnQf4kkMKZclOoRHC2M6y9tzw/fyi6LUoBw3KfpOS36TstygFTW4de4Qrh5+lpQo0VYmWKdGkRJMyLVmiJSsUIsVl0xNZxxYA0SF08/SFcF8V6WY7Pecekcj+PnsdrOSp03GWmpIJqJmyPYBI2yft/shk243QIHR3isYIY9fR7u+N29bJm9ToKT1Oto92ZUqHaLZMxgiMChA6ROoAX4cIFSB1gFAhC17IjB8AGiHsUNFekwbRyQuh7GDADp+QQiGyfW2KyJlrZ++ro3dM+uEYMBJhPDAewvgYl8fltZG0MNl5hUiPb4eOQip7ve53+0zdPbOys87zPgPMf//nMLOXZvW5h3QDZZv+pi7QNgIlIHH1dGJL4QbbuXfoPCGdoNAvw7d5IUNgCKQilIqCp109Mu+qVXvXtBugavduWvLJDs4T45FoO4BXaV57aM6N+wCJwpcJvoztE3TnteVJ871namGQKbWQ1aV5kif3rZv0iwB69+88wN7t1OHWiztUZ4JVuGee5tNRge8rAt+2RZ5QjpzSrr+iMpIKTPYdK+Pb79n4KPdNx9pHGQ9PKEIvIpBx9yLsRK0vE6ToTFbbtja9ckeAZX0D1xdwtXEnb5w62ti6x3iWHCRA49vyaZ/E+CQmwBhy16UcSafcN5C2e26Rtt0Xbn8hO6kgFfAId14w2t1Nl8fYuseQ1jcSje9K7WXkqABKfp2C16TgNQhEg0C08EUTT7QQtJCyZZXqAiIEkYBYQBurdEuERgs34a3tt5kpx/N5k/YaHE0tPES+Jc6Nu37/vzzCFfuO2s74CoOqvlJwKmLRX27jSbAH2AQcAHYC/+r/Z++846sosz7+O3NLbm56IaRACAgSQicBdEWwoBRZUFFsIGBhAV14RVF0V7EvLK66C7KCIiC6yi4KKlZsICpSQgmE3gmBhBTSb5l73j9m5ua2JPeGJCTyfD+f5N4785Qzz5x55pkz5zkPEW0GcCuAQj/LaK9+Hq8ljbYITPta0niWV9vCMYGU97vj7PkqOJgRYrChXNa8pBg5ZRagrI7FshmoLLcA5bUny62xHKVD69qzN/bs3I4Vqz/HVdcOVndV32zXfPIRqqoq0bVnH+zZmYlKu4zD572cWZ2cr6h7VeKyuo6tFrRYKBZmFDscgNWPDsGfPsP/RWNrLlNtNmuV95Q7TywW7d1d7Vit3ml+/OYLPPLgODAz7nvo//DAwzMQEhrmlubwgX1487W5OH70MOwyUCbXXV+FH2kAoFKuO015pXdcL1cYQJnPNBIcsnLjYAfBbpNgd+aoGUcDpamWzhu7DOScrWUQVNsDqa9d5Dq4raFN/X7GdUnoYtCqabjmZuT1mcjFU8w1rdOwUv0bqPm3T8jjE1DbznWD+tvFoOk0uqkWOoePA/U0ChBxjTI5TXjkYzu5tJFmHPZsUNd2qG1czG4fyncXQy8YTo9E5Xe1edGrWBf1c91LYAwz5KN9URGSS4oRbamARUew6AhlACrDrAjN2AG7bIBsN0B2fgbBbtcr3+0G5HIEbNCBSTUSqoNQiRhEMnTkgIFk6CEjVi6FTlIGxMpgtvqxTWkq9ZMYDjjAJDmHz3ZWFpFik929HVk7x9UNpnMoRlKwpHggOiSXB/zqt+0EBowyTHorjJJVNUVJ1W+p1TfyqNDjWFUaIDkgSTIknR0hOgui9KUw6K0w6KyQDDIQR868zodOTT5XYxfc9Y6cOuX69tw1n8v5Uz0kyplQrg3i1QaoHtRrRiftt/oIpbUDk3qcemdaTT5nXmcbKL8r2IhSDoLD+TBdXZfDadRj6CU7jJJN9Uio9kww6Cqhp1LoWVYeVxyqxwO7GDdYgoP1CGPAKDlglJQIXmCdi1zK8drKY8DWUBht4S79qIseOX8zwgw21ZvTDpAMSLJiOJRkyJIVVmNRdTuxDuwwuPxW5NN0idUXOgwCHJJTT8CE8MhchIad83EBwmnML6iKxm9ne2ObJRHnEaKcF3LREzW9PXSfml2VVf0EyepDrQPR1giY7SYf17x3/3XGfAp2ncWlLLtHuQ71GPWK4dVhUI2wetUIq8dlBkKITtNXl4dx1WhNYITZwhEkG0Hq+VRWtKtuP2gPeiwhz1CAkyEnYYUDVijenFAf1EGaDxGphmAdgkgHM0kwk4Rg0sEECWGOYOgdRhwpcPUAdu909bIRodZotz3e9yEFi74MVcbzyoM1VT+sa/7YikGcnA/mihHBoP5WHtpZUqZpO71nwNCpBmhtG0HxCtSTYrTQq32l8unyXVIM2g6pCjpyqH0qq2kUI7hONUY4VIOG3eFqPHD57dADBJdjY2d/7fwORrk1GOdKI9U2Iuf9jdSWUnsKpQx2aSf1k1zKP2XKQ7nOonh9EdRrRQKgU3VCcuqs53WrvSCJq2qFEFtI9V3d2VdW59E+j4Udg03SxtM13HxZp8qhc5FDe+EgIaayNYyOIK9ryFVnjHYzgu2hqO5p4fM7AJQbi2DVVbn3+R6XqLNsZzu4jpscHinJ+fJP68urW0TxZnS+hNVyub6sco4fqu9F7HZ81cIp/ZPnVnLb72vQWf0yTcHpNQZFtyV2QCIZevWa0qn7teOXXK6T7mpx7wAAIABJREFU6t9wSq3FpFRf87i0i6a12jGzy7moNp83dHSn3VG7UWos9douQfH0J672pJQB2ElZSMKVzsWdEVsVq+RjeOmSNhsRAA5FbkWFzgIbKWXZ1D97ACECuhd0R4QtQr1tuo4NyW2b9lt75CAmD9nITZ+rNZ986oyWqnqrdw62uqYMAigIQIRbeSZohsEa/qoH5GpB5DIEc5dHcbpwWWhGzeyMJ0mM8qTtwDEosRYvIQIxLC4D0ANKDMQ5ANYCeBiK7k73s4xQ9bM2U1WZ+hlWS5oGLY+IJgGYBADJvzMFsKqxRvSyrXqKgtv14XuwVMPuejH6jjHYs3M71q5agesHX+2sSKtr7ar3odPpcMvtt2LPzkxI5IDZYHFWbrEbXbqRQKn5AGoqsXrgUT0A0xLXKgV7ffGuy4/DqLlj9SyzNmNGzbLURVFhIf76yBQ4HA48MfsFTJg0Wd1TbaRjAKmpHfH6orewddMvMEo1Gfn8PZq6cDNT1bC3hho87ToM6NU7ng4OBMPmy/bjk5ra1lcrew+56pbWCBt6WA84R2eS+unQ5lyobquu514bF3h6nytjcXV0ooe29LhzO0sug0euHowpdbuZqNRBXLXc1Td3D2OH9t11TO42gHAdtqmfRGroOvVBktjZaKSWRQDY4W3A0+TXuRlZXAbabomVliPSFiGqHhpXD0eV4ZgynIXTCOLmneEyyGB2Ob+qpco5uKqhDTzRHsI826l6J5yeiG5nhbSBkLJVcmmD6krd28DVR4Lg4eHq2kl5PBho6e794T2Egb0WQ7LLjAK9CT/LV7mVJbmWCaXd9QazEgeIHdCx8v5ZBwf0rDw8uL7ZLUNYtQ54eOZ6iu4a31YzWTsYkCPquscxDOyAzuskkfO/NkhnAFaSUEI+JjKqA1DlMiUwSS4ezIpnpcWhUwwL0EOGpBqwvcSpEdfU7LLNoXZgTmOys62U33rZVQ9q6n/IpzxuldWGNgBXP887dCh06NVyq8v37BeVy8lVOu87m3aVuudiKF4kDnTU2RBMVTDBUn1kzgtLy6VHMFciGadc0qiPOR4XnOPXHMWYAAnQGwFSPSZIggM6kD5BfRBRJstJ6pxE0oxDqmysI0DSO49P6++0Y5A6msBtIqAZ2VTNcflkyDYDzpdHIVV3GpI5t7p11GKssmKUKQw5Vr1Z9ZogkqrtLZCQzgUgRHmdNl/n94i1EkWSEYAEIh2Y9KpXqjLxj0nzTlWvN9XgyLAq6Qjob9+HGFuZW13kWi+AiooMlNtT1F/ayy8Xv2qCosgEhDjOwSEHq/rEylRLYsjsUE81I8ZSgvanCmCXlCmSQcF62CUJ5+0O2IkQFJSIYF0o4jjP6X2iV8fGsuqBTZIOFHTO7eFVi6XtolDKPtkOlMrK+SYoM2UIqLLJzqmSrhcbERCk1wGofrFW5dChwqavdTROILSSzaoxTjmfyladW1+gDBnskCWde71a5XAR3/Xku1RudzBkllHCJq991eON6m0JsKMHVRvIdVTdnu75qwdaejVsAdmsbnL22nQGEafsYCKc794LVrLDqrPhREkpbAYL7DrVC1jTcQbiQowgJhSUWpVtqadhowivlnRtUe172A4HdAUmOAhoHRUMxYbNOFFcpXgwEcFBEhySXp0iokNqYhRYksCkhPE4brCgkqrUgsmlvup7iENXBtblQaeDqreSGntPcp4XrcsyGg3Q6c1OWVl2gGU7WJbBdhksy9CmnWijGOUS8ViChj2eE9QxAZ8vAbEDDsmAKn24S1dJgKG6v4LNBlJPtNFRgSC7ci3LJKFAFw9ihmzTRkiu4y5FRyMiVCNLSQkckgTZQJCNHvdOneplywTY7SAwgiTZ+5xpbeSy9AIzYJOr/e8oNERJX1bmttqm9o6OdRIcJpPawzLYZlWvF7jcXli5f4aEKHWWloEcMpRoL+wul04JAwbZ7mYos8lqUTodODJSafPi82Cunnl18w8FSDp4BvroGATNfxMGGcrfA5OhP5OPsHsl9wGbpANHRyliFhbB4ZDxY1hbnNC5jsEJ0KnmRFl2u0ifOZOLCHspoNcDSW0AdihjqdwzsDkcOG+KUkK5QJ0qTTo4QsMVs39pOWQHsCWcUAIJEuxQu36QTnnhSnbFP17TOcW/UO03jcbqW66lSolnrY1D1HEtEQFBQcpJsFiqx68OwGn3lySw2azsq6zyeubR0sCk9ltVlc5+mfXaSVbPntElHJXDAbIplZDMkBzqQCbICFLDP5DdBlgtTv8E5x3KGARWdVi5Pu3OfZedKgHMZmUBl0sIvw2LzPyay/fviSgVQAaAg8yc1RjCNRXMvBjAYkCZCn2RxWlQjDoJVtmB8w6z20sso05CakK48/e+3BKnEdIzv5auvmlSe/THZZ064/uvv0acyYjIyEhnumOHD2L71q24+robEBmrxCcJNhrRsXVrr7IO7d+Lpf/+J7b+shGFBfkICwtDWs8+uHPCgxhwrXuIT6NOwpwnp2H58uV4+bWF6J7eHwv/8TJ++3kDSkvOI6ltO9x6xz2Y98LTkNQBzr7cEnRJrB6M/Pu1efj3a/Ocv2fPno07/zTDKVNFRTlWLn8b69Z+gmNHDkG229ChQwdcO3Qkxk56COaQUDeZFr82F2+8OgezZ8/GxIkT8cjjf8HPG35AQf5Z3DnhQTz+7N8AAOSQ8fMX/8P777+PXVlZqKqqQnxCEgYOHor7H34E0TGxzjZ/4YUX8Mwzz+C2sRPw9N9ec6tPS/PZZ59h5MiR6N6rD9777Ls6z9+77yxFaUkJOqd1w133PwSrg7zS2FzOS89+A2F1uJfz3ZbdWDz/Nfy8/jvkncmFKTgYndO64457JuCxh+535tXO8dOPTMWnqz7A8/94A6PG3O1V3z/nvYw3X5uLyY88gSkzZjnl/nDRq3juuefw0IxZGD12It74x8v46bt1KCo8h1at4zF85K2Y/8rfYFJvNPtyS3B9v244feokAGD1qpVYvWqlU57x48fjz399Gdf0SUVlRQW+/HUnWick+WynW4cMxN6snViwfCWuvu5GrzSux1dXm2tprDBgl/FyAO6LPlw153vkFHt78QaapiHL8re+hoyx6M8KxU1ZX3OUybXOhorJWc3jNe7J2p6DVX7U50+alhhL1B9a6nXc1Hp+Jqo14ovzvGQ6ExmH+KKzzt/P3vEUHv/4VZjt1TMUKvRB+PutM/DsypcbNM3F5N5a9jnPX+kVbtt9nb9tgZyXyvqfY02m3R6yNrieP15DWZG11OcxacJnGi0goL8y6bzTBdJXNzeasm+p9VrP/Kx+Mln8SKMRr/zVp39tqWx5aQG6PfcYgm3VDVVpCMLu2a+4LZQyLXUB5hx+zKtfnHXZK/jXPiVdSgpw/Lh3Ha5h5SoS28Ccm+OVpiIhCebTpwKSq9Y0T6qyv/8+MGkSUFFRXZnZ7L2Ihj/pGjvNcy8A/W+s3vbMC0q6BWUeZS30KmtYxZf1kGmBVxvoJ01CcMWxOsvqWrG7zjQtos19Labiz2rO9Umz+Pe5KnRt+B3kgYjuJSKnrzczn2DmjwHsJ6Laxj2uaFdKbfEYNWuMt49w45f3u6N1hMlrxUCJCK0jTAGnu5A048aPR1VVFT744AO3dJ/8T1lPZ9SYe+DpA+Ja1o/ffIG7broWaz9aicjICIwePRppaWn4+cfv8NC9Y7Bg3ktu9bnKdPxgNu666Vpkbd+GvlcOQK+M/jh1/ChefflZTJ8+3a2+kbffhc5p3QAAndO6YeTtd+Gue8Zh/Pjx6NWrl1Oms7k5uOePg/H6y88iN+ck+vXvjxtvvBFFRUV449U5GH/LUJQUF7vJFGJS7PgHDx5E79698euG79EzvS8GDh6KsHDFoFlRVopJd43ClClTkJWVhV69emPgdTfCLtvx3tsLcfdN1yL31Ann8U2aNAlGoxFfrF6FstISn23wxhtKqNLJU6b6df5+/OYLAMCI0XeCiALWg02bNmH0jVfjvyveAQBcN+QmdO3RBzu2/oaZDz+Ae++91/mmyV+d8vSj8UxTfO4M7hx+LTZ8+w16pvdFxhUDUHTuHN5+43WMGTPGrawbbhqFXn37AwDatmvvdo4HDBiADomxuHnMPZBlGaveX+6zvhP7d2Jv1k60SU7BVdcM9pkmkOPzTBNs0GHmkM7O3zOHdEawQXfBaRqyLH/ru7l3Ev52a3ckRQaDoAzMPR+uGipNU9fXHGVyTfvzrOtwdM5N+HnWdfVO4y8NVV9Dyt3U9dVFS72Om1rPTz72NCoN7lMLKw1BOPnY027bes16CM+MmIZT4a3gAOFUeCs8M2Iaes16qMHTNFca6vw15DluqXrekDIF0lc3N5qyPf291pvjOW6p9P3Lw9g9+xWciYyDA4QzkXFeRkUA6P/0w5ie8ApOhSrpToXGYXrCK+j/dHW6l15SbDWueDppmefNhd0U7JbGbgqGed7cgOXyS/Z77lGMR+3aKS5x7dr5Nib5k64p04j6Lo5MWtpjx5QZM8eONW6a3zvKtKK6/6C844vzsT0GgOxnGSOh+KJm1pLmYzXNw36U10NNW1BLmlfVNK/4I2N6ejr7S3Z2tt9pLyaF5Rbee/o87zxZxHtPn+fCcku90wWSJrFNWwbA3/30C+fm5rJOp+N+/fo50+WXVHBcfAJHREbxzmP5vPS9DxgADxo0yK2sDTsOcGhYGAPgF/42162uH374gc1mMwPghStWuck0fvx45/ypx5/6K+85VeSUe+3X37IkSSxJEp84ccKtvodmzGIA/NCMWT6Pr6Csinul92MAfM/ESZxzrti5r6KigseOHcsA+OYxd7u10+zZs53yTJgwgS0Wi1d73nLb7QyAb7vtNi4sLHTKtPtkIU+YMo0B8FVXD3STR6vvry/O8zovBw8eZCLimJgYrqysrPP82Ww2liRlAu7SVZ8HrAeVlZXctq1y3ic/9GfefbLQmWbj5kyOi4tjAPzmm2+6lXXzmLsZAL/82kKf9T3+1F+VMh95wq0+1zYdN+E+3nks31nfr9t2cGhoKAPgjRs3utX38msLnefIV31bdu5mIuJWcfG86/g5rzTjxo1jADzz6Rca9Lpa9/M2/sPfvuPVmae80qzOPMV/+Nt3nPLE2gtK05Bl+VufQCBQENexf2x+cT7nRsaxDOLcyDje/OJ8n+l+z23gL81R9paq5w0pU0umKduzuV7rv/dz7A/vvcfcrh0zkfL53nv1S+NfIoFA0BIAsJVrsKMFsiq0A0BrZs732N4bwHfMHO1HGW2hLKZiBRDJzF5+5uqK020ADGDmn+sozwigGEAwgI7MfNhHmo0ArgIwlpnfr0vGhloV+szLL8Oyd59f5TQXgrqkIv6ppxqsvJSUFBw/fhxbtmxBRkYGRowYgc8//xzZ2dno0qULvvzySwwfPhwPP/ww5s+fj1WrVuH222/HoEGD8OOPPzrL0ab7XnXVVdi4caNXPbNmzcLcuXMxePBgrFu3zrl9woQJWL58Ofr27YvffvvNGXdKY/jw4fjyyy+xfPly3HtvtdPts88+i+eeew6zZ8/Gs88+61WfJvcVV1yBn3/+2TmVWqO8vBwdOnRAYWEh8vLyEBUV5VZuTEwMjh49irAw97Cf2dnZ6Nq1K9q1a4e9e/ciONj9DZ/D4UCvXr2QlZWFXbt2oXv37gCAzZs3o3///khLS8OePXvc8jz66KN49dVXMXPmTPz973/3OhZPzp49i/j4eADAvn370LlzYG9nV6xYgXvvvRcpKSk4cOAADAaD2/4333wTU6ZMQceOHXHw4EHndu1cLV26FBMmTPAqt6Zzom1v27Yt9u/f79VmU6dOxb///W8899xzeOaZZ5zbly1bhokTJ2L8+PFYtmyZz2PR9GPlypVuXo/nzp1DmzZtQETIyclBdHSdXZ/ftISV5gUCgUAgEAgEAoFAcGlR26rQdU6FJqIsItoFxStoPRHtcvnbA+AnAN/6IwgznwSQCcAI4HYfdQ2CYlQ8A+BXP8qzAtCCDHj5mxJRBwBXQjFkfu6PjILGQzMYaYYc7dOXIcmV9evXA1Di3/nivvvuAwBs3LgRso/VhIcPH+5lVASA1NRUAMDp06frEt2NL75QpgqPHj3ay6gIACEhIcjIyIDdbseWLVu89g8ePNjLqAgoBksAGDFihJeBDAAkScLVVyuL3/z6a/Xl0a9fP/Tr1w/Z2dluBtnKykosW7YMkiRhypQpAR1jfdHO1d133+1lVASUc01EOHToEHJyvGOu1JfrrrvOZ5vV9xwDwJ///GcAwMKFC922L1myBBaLBXfeeWeDGhUFAoFAIBAIBAKBQCBoafizeMsq9bMbFOOcS0RRWKEspv1RAHX+DcD/AMwlol+Y+RAAEFEcAO0Jfg5z9dJPRPQwlBWoNzOzZzzHOQBuAfAEEX3FzJvVPKEA3oFiPF3IzMVoQhrS8+/3wsiRIxETE4MVK1Zg5syZ+OSTT9C9e3ekp6fXmk8zQLVv397n/pSUFEiShKqqKhQUFCAuLs5tf00rfYeHK4tnVFVVBXQcR44cAQDMnDkTM2fOrDVtfn6+17Z27drVWu4bb7zhjIvob7nTpk3D2LFjsXDhQlxzzTUAgA8//BCFhYW46aabamw7T2JiYiBJEhwOB/Ly8gL2WKzrXJlMJiQmJiInJwc5OTlISmqYeEMNfY4BYOjQoejUqRPWr1+P7OxspKWlweFw4M033wQAPPRQ84+/JRAIBAKBQCAQCAQCQWNSp2GRmZ8DACI6BmAlMwf+hO5e3ioi+jeAKQCyiOhbADYA1wMIB7AGwAKPbLEAOkPxZPQsbwsRzQIwF8AvRPQ9lOnRgwDEAfgNwF8uRGZBw2A0GnH33Xdj/vz5mDhxIiwWCyZOnOh3fl9eh/7gy6vwQtC8IgcNGoSUlJRa0/oyIvryrHMtNz09Hd26dau13K5du7r9vv322/Hoo49izZo1yM3NRUJCgtPTburUqbWW5Yper0ePHj2wY8cObNmyxekhGSj1PVc14XB4r6zsSkOfY0A5hocffhjTp0/HwoULsWDBAnzxxRc4duwY+vbti4wMn17gAoFAIBAIBAKBQCAQXDL447EIAGDm5QBARNcBSIMyNXoPM/8YaKXMPFWNffgQFAOgDsA+KB6G/3b1VvSzvL+r07UfBdAXgAnAEQD/grJoi6W2/IKmY8KECZg/fz7Wrl0LvV6Pe/xYMSkpKQn79u3DkSNHcP3113vtP3bsGBwOB0wmU5NMTW3bti0AxZjXkF5rWrnXXnst5s2bF1Beo9GIP/3pT3j++efx1ltvYejQodi6dSs6dOiAoUOHBlTWyJEjsWPHDrz77ruYMWNGQHk1D0TN+9KTqqoq57RkV29Fo9EIACgrK/OZ7/jx4wHJ0VBMmDABf/nLX7BixQrMmTPHaawV3ooCgUAgEAgEAoFAIBD4EWNRg4iSiGgzgHUAngAwC8B3RPQbESUGWjEz/4eZr2LmcGYOYeZ0Zn7Dl1GRmZ9lZmLma2op7ytmvoGZo5g5mJm7MvNLwqjYvOjTpw+uuuoqxMTE4Pbbb/eatuyLQYMGAQDeffddn/uXLl0KABgwYAD0er9t5TWiGbnsdrvP/cOGDQMA/O9//7vgunyVu2bNmhrrro3JkyfDYDBg8eLF+Ne//gUAmDJlSsDefA8//DDCw8Oxc+dOvP7663Wm/+mnn5zftXP1wQcf+DyG5cuXg5nRsWNHN8Oi9n3fPu8FjyorK91iRzYEdZ1jjfDwcIwfPx4lJSV4/vnn8fXXXyMmJgZ33HFHg8ojEAgEAoFAIBAIBAJBSyQQi8O/AMhQVl9uy8xtAXRSt/2rMYQT/D7ZuHEjzp07h//85z9+pX/wwQcRFhaGjRs3Og1mGhs2bMD8+fMBKCsgNwSakWvv3r0+9998881IT0/H+vXrMXnyZBQWFnqlOXPmDN56662A6u3Tpw9uvvlmHDp0CGPGjMGpU6e80hQVFWHRokU+DWIJCQkYPXo0cnJy8P7778NkMjkXtgmEVq1aYdmyZSAizJgxA0899RRKS0u90h04cAB33XUXpk2b5tx2++23o23btjh69CiefPJJtynM2dnZmD17NgDgsccecytL80RdsWIF9u/f79xeWVmJKVOm4MSJEwEfR23UdY5defjhh0FEmDdvHhwOB+677z6YTKYGlUcgEAgEAoFAIBAIBIKWSCDuXTcAuIaZj2obmPkIEU0D8F2DSyYQqMTHx2PFihW44447MH36dLz99tvo1q0bTp8+jZ9++gkOhwN//etfA57yWxNDhgyB2WzGxx9/jIEDB+Kyyy6DTqfDyJEjMXLkSEiShDVr1mD48OFYtGgR/vOf/6Bnz55o27YtqqqqcODAAWRnZyMuLg4PPvhgQHUvX74cI0eOxOrVq/Hll1+iZ8+eSElJgd1ux5EjR7Br1y7Isozx48f79M6cNm0aPvzwQwC4oFWLb7nlFqxZswYTJkzA3/72N7z22mvo378/EhMTUVlZif379zuNcnfeeaczn8lkwn//+18MGzYMr7zyClavXo2+ffuisLAQP/zwA2w2G8aNG4dJkya51TdgwACMGDECa9euRZ8+fXD11VdDr9dj69atkCQJEydOdHqmNgRXXHEF4uPjkZmZiYyMDHTt2hUGgwFXXXWVV9zP1NRU3HDDDfjmm2+adIVtgUAgEAgEAoFAIBAImjuBrnjAfm4TCBqUUaNGYevWrRg7diwKCgqwatUqZGVl4cYbb8Tnn3+OF154ocHqio+Px9q1a3HNNddg165dWL58OZYsWYLMzExnmjZt2mDz5s1YsGABevfujT179mDVqlX49ddfYTKZ8Oijj+Ljjz8OuO7w8HB89913ePfddzFw4EAcPnwYH330ETZs2ACHw4E//elP+Prrr2v0mOvXr59zJeQLjQM4cuRIHD16FPPmzcOVV16JvXv3YtWqVVi3bh2ICA888AB+/PFHfPDBB275rrjiCuzYsQOTJ0+GLMv4+OOP8dtvv+HKK6/Ee++9h+XLl/tc3OV///sfZs2ahbi4OHz//ffIzMzETTfdhMzMzBpXfa4vQUFB+Oqrr3DTTTfh6NGjeO+997BkyRKsX7/eZ/obbrgBgDJd3d8VtgUCgUAgEAgEAoFAIPi9Q8y12wWJKBnAKQAfAWgF4C5mPumy730A+cx8ayPL2iRkZGTw1q1b/Uq7d+9edOnSpZElEgj855NPPsHNN9+Mfv364bfffrvY4vxu6N27N3bs2IEvvvjCGQuzMRB9ikAgEAgEAoFAIBAImhtEtI2ZM3zt88dj8SiAWADTAIQAOEJEx4noOIDD6rZpteQXCARNgN1ud3puBrqas6BmVq9ejR07dqBLly4NNt1eIBAIBAKBQCAQCASC3wP+xFgkAGDmk0TUB8BgAKnqvr3M/G1jCScQCOpm6dKl2LBhAzZv3ozs7Gz0798fY8aMudhitWgKCgrwxBNPoLCwEF988QUAYN68eT6ncAsEAoFAIBAIBAKBQHCpEsjiLWBl3vQ69U8gEDQD1q9fj+XLlyMqKgpjxozB66+/LgxgF0hpaSmWLFkCvV6Pjh074sknn8RNN910scUSCAQCgUAgEAgEAoGgWeGvYfExIiqrLQEzP98A8ggEggBZtmwZli1bdrHF+F2RkpKCuuLPCgQCgUAgEAgEAoFAcKnjr2HxjwDstexnAMKwKBAIBAKBQCAQCAQCgUAgEFwi+GtYHMTMeY0qiUAgEAgEAoFAIBAIBAKBQCBoMfizKrSYDygQCAQCgUAgEAgEAoFAIBAI3PDHsChWgRAIBAKBQCAQCAQCgUAgEAgEbvhjWHwOQK0LtwgEAoFAIBAIBAKBQCAQCASCS4s6DYvM/BwzVxDRICLqr20noglEtJGIFhFRaOOKKRAIBAKBQCAQCAQCgUAgEAiaE/54LGq8DiAeAIioM4BFAHYBuBLAvIYXTSAQCAQCgUAgEAgEAoFAIBA0V4jZv7VZiKgUQE9mPkJETwH4AzOPUL0YP2LmNo0paFNBRPkAjvuTdt26dd3j4+PtjSxSgyHLsl6n07UYeQWC+tCS9fzMmTP6G264IetiyyFoEcQCOHexhRAIGhmh54JLAaHngksBoeeCS4Hfu563Y+ZWvnboAyjEAUCnfr8ewGr1+xkAMfWXrXlRU0P5YufOnce6devWYhRn9+7dXbp167b3YsshEDQmLVnPZVmOZeaMiy2HoPlDRFuFrgh+7wg9F1wKCD0XXAoIPRdcClzKeh7IVOgtAJ4monEArgbwpbo9BUBuA8slEAgEAoFAIBAIBAKBQCAQCJoxgRgW/w9ALwALALzEzIfV7bcD+LWhBRO0fJKSkroTUbrrX1BQUJ+kpKTut9xyS8ovv/wS7Jln9OjRKUSU/q9//et34wXbmMiyjEWLFkUPGzasQ1JSUvfg4ODeJpOpT1JSUvcbb7zxsjfeeCO6srKSLracAoFAIBAIBAKBQCAQCH5/+D0Vmpl3A+jhY9djAOQGk0jQaMTGxuZfjHoHDBhQEhcXZwOAoqIifVZWlnnNmjUxn332WfTChQuPTpo0qehiyNXSycrKCho9evRlBw8eDCYipKamVnTv3r1ckiScPHky6Pvvv49ct25d5EsvvZS0f//+PWFhYY6LLbO/7N+/35iamto9MTHRmpOTE1DMwYul5wJBE7P4YgsgEDQBQs8FlwJCzwWXAkLPBZcCl6yeBxJjEQBARBkALgOwlpnLocRdbJELJVxqxMfHX5R4kE888cSZESNGlGq/y8rK6J577kn59NNPox999NF2o0aNKmndurUwTgfA/v37jQMHDkwtLi7WX3vttecXLlx4IjU11eqa5vTp0/qXX3659eLFi1tbLBYKCwu7WOI2KRdLzwWCpoSZL9mBi+DSQei54FJA6LngUkDoueBS4FLWc7+nQhMa0LzqAAAgAElEQVRRayLaBGAzgP8AaK3uehXAPxpBNsHvlNDQUF62bNnx4OBgR1lZmW7NmjURF1umlsbdd9/dvri4WD948ODidevWHfI0KgJAYmKifcGCBTnr1q3bZzKZWoy3okAgEAgEAoFAIBAIBIKWQSAxFl8DcBbKCtAVLtv/B+DGhhSqJVFRURF0+vTpuEOHDrXftWtX161bt6Zv3bo1/dy5c1G15auqqjIcPXo0edeuXd22bdvWZ/v27T337dvXqbCwsFYjW33zAUB+fn50dnZ258zMzF6ZmZm9d+/e3SU3N7cVMwd62G4UFhaG79u3r9P27dt7bdu2rXdWVlbXU6dOxddUbmFhYURhYWHb5ORkAEBWVlZKZmZm7z179nSRZdkr7iJQd+zFGTNmJBJR+owZMxJr2n748GHD6NGjU1q1atUjODi4d1paWpelS5c6z9M333wTMmjQoI6RkZG9goODe/fv3//y9evXm33Vt2bNmrBx48Yld+7cOS0yMrKX0Wjsk5iY2P3WW29NyczMNPnKU1FRQU899VR8WlpaF7PZ3NtoNPZp1apVj169eqVOmzYtsaKiwq9YiGvXrg3LzMwMNRgMvGTJkuM6na7W9IMGDaoIDQ11OxklJSXSE088Ed+5c+e04ODg3sHBwb1TU1PTZs2aFV9aWurVL7z66qutiSh91KhR3Xzp+dq1a8OIKL1fv36dPdopkojSMzIy+mzatKnPQw891DslJaV3UFBQn+jo6J6jRo1qf/DgQaNrntGjR6ekpqZ2B4DTp08bXWN0JiYm9gSAK6+88nIiSl+8eLHz/B06dChFk2vr1q3p99xzTzoRpd97773pW7duTd+1a1dXf9rXF8yM3NzcVrt37+6SmZnZOzMzs1d2dnbn/Pz86Jry5Obmxh08eLBDVlZWV/Xa6LN9+/aee/fuvTwvLy/6Qq87QcNCRAYiup6I/kFEW4mohIisRJRDRKuI6Jo68t9NRD8R0XkiKlPLeIiIar3PEtFQIvqGiAqJqIKIdhPRX4goqI58/YloNRHlEVEVER0kor8T0QW9qCGizkT0HhGdJiILER0non8TUUIN6dOI6HX12E8SUaV6HPuIaAERpVyIPIKGpaXoORFNICKu4y/+AtohUHmGE9ESIsokojNqm5UQ0RYieoqIQusri6DhaWo9J6K2RDRF1ZFdRGRXdfQxP+Wt133Aj3IDuk8Q0R/U/v43l3tAmXpMc4io1YXII2hYWoqeE9GzdfTlVRfQDPU5jnuIaAURZRFRPhHZiKiIiDYS0cNEZLgQeQQNS1PqORFJaj/4IhH9ouqFjYjOEtEXRHSzH/Jesv15IFOhrwdwPTMXEbnZPw4DSG5QqVoQeXl5cefOnYsLJE9paan50KFDl8uyrDMYDNawsLDzdrvdUF5eHnbkyJHwsrKy3OTk5NMNlQ8Ajh49mlxQUNCKiDg0NLSEiLisrCw8JycnubS0NLxTp06HPc6rX+Tk5LTOzc1tAwAhISGlOp3OXl5eHnbmzJkkAD4tJ4WFhdHFxcXR5eXlDABms7kyODhYrqioCLHb7RIAOByO2q1lAXL8+HFjv3790sxms9y/f/+y3NxcQ2ZmZuj999/fwWazHTGZTHz//fd3SE1NrRwwYEBJdnZ28ObNm8OGDRvWedOmTdk9evSwuJY3bdq0dmfPnjV27Nixsm/fvqUAcODAgeDVq1fHfPnll1Fr1qw5OGTIkDItvSzLuP766ztt2rQpLDQ0VO7Xr19pWFiYfO7cOcORI0dM8+fPT3jsscfykpOT6wwrsHr16khAiV3pT3pPcnNz9YMGDbr84MGDweHh4fLVV19dAgCbNm0Kmzt3btKaNWui169fv991errFYglXjyPIavVyjvRJaWmpOS8vrz0A2Gw2TJ8+Xd69e7e+T58+aN++PbKysqRPP/00evPmzaFZWVnZsbGxMgD069fPWlxczN9//z0FBwdj8ODBVgASM+sjIiL0J06cSJw6dWrepk2bwhYvXhznGaPTbDaXybJsWbt2bbQkSTR+/PiiyMhIh8FgsAXaVoBiVDxw4MBlpaWlkZIkyaGhoSXMTGVlZeHHjx8PLSsrC2nfvv1Jz3xnz56Nl2VZHxQUVGk2m8skSXJYrVZjeXl5WHl5eVhRUVHU5ZdfXq/rTtAoDAKwTv1+BsAGAOUA0gCMBjCaiF5g5mc8MxLRGwCmAqgC8B0AG5R75gIA1xPRbczs5TVMRI8DmAslTvGPAIpUOV4EMIKIrmfmCh/57gKwAkookp8B5AC4AsBMALcQ0VXMnBdoAxDRIABfAggGkKm2QU8Ak9XjH8DMBzyy/QHAdAC5AA6o8oQB6APgIQATiGg4M28IVB5Bo9Bi9FzlMICNNeyrrPNofVBPee4GcA8UHd8JoABAHIArAWRA0fOBzHymPjIJGpym1vPRUBwwAuYCr4/ayq3PfWI4lP7+GIBsAPkAogH0BfAEgIlEdA0z7w1UHkGj0GL0XGUngB0+ttdrfA7U+zimQOm7swFsAXAeQKK67SoA9xDRYDXkm+Di05R63gFKfwkAhVBm6hap24cBGEZEywDcxz48RC71/jwQw2IwAF8WhVZQTtYliclkqmzVqtVZs9lcHhoaWnHs2LGU8vLyGt9cy7JMR44cuUyWZV1MTExeu3btTkqSYjAvKSkJOXToUKe8vLyEsLCwsqioqJILzQcA586diywoKGil1+ttl19++X6z2WwBAKvVqt+/f3/nkpKSyNzc3LjExMSAHkRLS0vNubm5bYjI0alTpwPh4eHlAGC326UDBw50AuCzHeLj48+cPn363OnTpy8HgKuvvvpUly5dSm02m06SpG4A9OXl5VEAAn4wromPP/44ZuLEiXmLFy8+qdcraj937txWs2bNSn7mmWfaVlZWSosWLTp63333FQGKIXDUqFEdPv/886gXX3wx/r///e9x1/JeeumlU8OGDSvVjGEA4HA48I9//CP28ccfbzd16tR2Bw8e3KOdo2+++SZ006ZNYWlpaRW//vrr/vDwcIdrvm+//TYkKirKr+nKO3fuNANAenp6vW54999/f/LBgweD09PTy7766qtD2jHk5+frhgwZ0mn79u0hDzzwQPJnn312VMuj0+lsAKDX60u7du163F89Z2YJAHbt2kVdu3a1HjhwYE9YWFjQoUOHOpWUlOimTp1q2bt3b9C8efNazZ0794wsyzR06NCYLl260Pfff4/IyEjrp59+mgW46/nQoUMPJiYmWrdt2xa6ZcsWU9++fZ19UExMzLkPPvgAJSUlMddcc83566+//kh92knj9OnTrUtLSyODgoKqOnfuvN9oNNoBxVv5wIEDqQUFBXHh4eGlMTExxa752rdvfyQ0NLRCp9O5ndfy8nLTwYMHO5eWlkbm5eXFtG7duuBC5BM0GA4AHwH4JzP/5LqDiO4A8D6Ap4noB2b+wWXfaCiDljMABjLzQXV7awA/ALgFwJ8B/NOjzAwAc6DMALiOmX9Tt4cC+BzAQAAvAXjEI18bAEsAEICbmfkTdbsewHsA7gCwSK3Xb4goBMCHUO71f2bmBS77XgHwKIAPiCjDYzD1LYBUZt7vUZ4ByuDqEQDLiaiDr0GYoMlpEXruwkZmnnAhB9xA8rwC4FFmPutRXjSA1Wq+uQDGN5SsgguiSfUcwFF12zYAWwE8CWBcXUI2wPVRU7n1vU+8B2AxM5/wKC9ELe8OAG9CeVAWXHxahJ67sIaZnw0gfa1cwHHMAHCAmd3G7ep1sw6KweZxALMbSlbBBdGUes4AvgcwD8A6ZpZdyhsEpV+eAMW4udRDlku+Pw/EsLgBSkM+pf5mItJBsXh+11ACtTRqWihiyyenYsryjnp5MsoOWW+1WYxExCYjm7finNvUUbtss9vsNt0+aXeHIIOp8kLzAYDFVmV2OBwwGozywS/3pHjIw1abBXvpUJvElOKg68eneXle1URubm48AMTFxZ3RjIoAoNfrHe3btz8KoDsAOBwOp6txfn6+7ptvvjE+8cQTyQ6HA6mpqZXDhw8vBQCDwSDrdLoKAOF2u93nlOj6kpiYaF24cOEpzagIAI8++mj+nDlzEs+ePWsYMWJEoWZUBACdTocnn3wy9/PPP4/65Zdfwj3LGzduXLHnNkmSMHPmzHMffPBB7Pbt20MyMzNNGRkZVQCQm5trAID+/fuXuRoVtXw33nij30bCwsJCPQBoK20HwoEDB4xfffVVlCRJWLJkyTFXw2irVq3kt95661i/fv26fvHFF9GHDh061bFjRxsAmEymUgAxOp3OGhwcbKmxgmoZo2w2m1E1SBqICO+8886xpKQkOwB769atcx0OR5uJEyfy448/jvXr14cDOKPlMxgMVgBGV2++8PDw8tatW+fm5ua2yc/PT5g4cWLeSy+91Oaf//xn3HvvvefWab799ttxADB58uQLWiGamZGXlxcPAMnJycc1oyIAmM1mS0JCwqmTJ0+mnDlzJsHTsBgREVHmWR4AhISEVMXExOSdPXs2saSkJFwYFpsHzPw9lMGEr30riegGAPcDGAtlQKLxpPr5hDZoUfOcJaIpUN5YziKi+R5vRWdBGSTM1QYfar4yIpoI4CCAqUT0nMfg9/+gGP+WaoMLNZ+diCZBeaN6MxGlMXN2AE0wEUA8gB9cjYrasQG4GYoX4jAAX7jUe8xXYcxsI6InoHgGpADoBMXbS3ARaUF63ljUSx5m9uVlA2YuJKK/Qhkj39C4ogv8pan1XO2Lnf0xEfkb17qxro963SeYeZ+vwpi5nIhmQnkQvZqIgpi5zrGgoHFpQXreWNT3ODb7KoyZTxHRywDehdKfC8NiM6Ap9ZyZD0PxaPRV13oimgPgBbWupR5JLvn+PJAYi48DeJCI1gEIgrJgSzYUl+Ena8soqMbhkHUAIEk6n1NYJUknK+kcOgbTheZjMDkcDgkESJLeK69O0slExMxMdtnud0wJh8NBpaWlEQAQGxtb6Lk/ODjYCnUq9KhRozqSGiMvLi6u19ixYzvm5OQY09LSKj755JNDHjEC2eOzQfjDH/5QajKZ3MrU6/VISkqyAsCQIUNKPPN069bNAgD5+fk+2+Xw4cOGefPmxd5///1tx4wZ02706NEpo0ePTsnPz9cDQHZ2tjPWYv/+/St0Oh1WrlwZO2fOnFYnT54MeEX2huDbb78NZWb07NmzvGfPnl6dSHp6elWPHj3KHQ4H1q1bV+9lpMvLy80AYDQaKwAgISHB2q9fP6fBOyIiogQA2rRpYwKAs2fPGlzzmUwmn0Y5LV9FRUXo5MmTi00mk2PNmjUxRUVFzr5s06ZNQXv27DG3adPGctttt52v7zEAQElJSagsy3q9Xm/zZSiMjY0tIiKurKw0WywWv68fImIAkCRJeHC1HLarn220DepbxHQo3vz/88zAzOuhTFeIh/IGXMtnhDIQAJQ3rZ75jgD4FYARylQGV7T4Lr7ylQD4zCOdv9RWrgzFmzHQch3qHwCIh9CWQXPR8wanEeXRxlZCx1sODabn9aWRr4/GuE/YXT7l2hIKmg0XXc8bi0Y8DtGftzyaUs+96lLrE/05AvBYZOZsIuoOxfvAAsAE5US9wcy5DSXQ74W+o9oUxMbGFnluP3LkSLvCwsLYVq1aFbRr1y7Hc7/FYjFkZWX1AIAOHTrkRkdHn7+QfAUFBRFHjx7taDKZKrp167bfMx8AHDhw4LKSkpLIpKRWpf4eX2VlpYmZJZ1OJ9fiwcYA6A9/+IM1Pj6+FACCgoI4ISHBOmjQoLIRI0aUalOFAWUKtSzLZgAwGAwBxx+oDc2A6InZbHYAQHJystf+iIgIBwBYrVavIHiPPPJI4vz58+NlWa4xQN758+edFtOuXbtannvuuZPPPfdcmyeffDL5ySefTG7Tpo0lPT29fNSoUcXjxo0rcvWmrI3o6Gj70aNHkZeXF3Bw4ZycHCMAtG3btsYbZnJysmXHjh0hOTk59Q5erMXIlCRJBhTDout+g8FgB4CQkBAAgNVqdYutqdPpfHZyWj4AMJvNplGjRhWuXLkydtGiRTG33XYbAGDJkiXRAHDnnXfac3JyEsPCwsoiIyNLqB6xDCsqKsxqXT49SnU6nSMoKKiqqqoquLy83BwUFFSnIbOystJYUFDQCgAiIiKawkNH0DB0Uj9d73e91c89zFxTvLctAJLUtL+o2zoDMAMoVN+O1pTvKjXffwCAiMIBXOayv6Z897jI5i9a+trKdU1XK6QExX4aynHuBHCi9hyCZsJF13MPOhLRi1DiGZZAif35KTP7fPlUBw0hjxvqFCctrtOn9ZBJcHFoSD2vLw2uj0Dj3CfUh+YX1J9fMnPA8b0FF4XmoOeu9CGiuQCioMSv+w3A58zsX/B2dxr8OIgoFkrMOkD05y2JptRzX3UBoj8HENhUaLASlFq4BV8Aer3eBgAWi8XnykBVVVXO7RaLxXih+bT0RqOxxk5bnXZaY9k11Gd0zVsDDAAPPvigZcKECcc8d5aUlITk5eW1AgC73W6oqKgI0QxLZrPZyyhbGw5H7d74rgbM+ux3ZdmyZZGvv/56QkhIiOP5558/MXTo0JLk5GSbtvLyH//4x/Zr1671WvX3L3/5S964ceMKP/zww6iff/45dOvWraGffPJJ9CeffBL997//vfLnn3/eFx0dXee0gp49e1Zs27YtdNu2bSF+C+1BfYxsteHZ/pq+2u2KF6xn+7rqq698NpvN6Gu/p54/8sgjeStXrox95513Wt12220VxcXF+Oabb4KCgoIwdOjQkLy8vJC8vDwEBQVVdejQ4UhISEhAwf61a6mO68dSVVUV7HrduXL27NmY0tLSMABktVqNlZWVIcxMcXFxZ2JjY4VhsQVAyuqzE9SfH7nsaq9+usVg9UAzqLV32dbeY5+/+VLUz2L1LaW/+WpFHbhoK5zXdCy1lktEUagO6h4FoBeUhd0OAriLPTtEQbOjGem5K1epf64UEdEkZl5VS7m+uGB5iOhKAH+CMuMnDoqnQwSURY+eDlAewUWgEfS8vjTE9eGLFPWz3vcJIuoE4C/qz1gowf7joDzATglAFsFFohnpuSt/VP9cOUVEY1UPskC44OMgoj9CWfxDByAByr3GBGAZlMU9BM2cptRzIjIDmOajLtcyLun+3G/DIhENrGEXQ1m85TAze02JFbgTHh5empeXl1BaWhphsVgMQUFBbnHyNEMbAMiyrLvQfFp8Q0mSajRYaYtLBLISs6dHWm2wuoCHJ1VVVUHFxcUxrtskSbIACPKcImo0GhkAysrKfJZ14sQJn0adxmDVqlXRAPDUU0+dmjFjhleMzWPHjpm8cykkJyfbH3/88XwoKzPh119/DR4/fnz7ffv2BT/zzDMJCxYs8PJG9eTmm28ufuedd+I2btwYfvLkSX3btm39ftOgeW6eOHGiRiOyti8pKcmpY1r7l5eX+2z/o0ePurW/pq8Wi8Wn8dNVX33lq6io8DkN21PP+/fvX5mRkVG2devW0G3btpVu3bq12GKxRN56662FAwYMOFVeXm4+ffp0UlVVVfCBAwcuT0tLy/a8dmrDHz3Xrh/X686VsrKyUFc9JyKOj4/PSUhIOOsrvaB54RIcOQLAd8z8mctubQGj2mKkap5Vrjrd1PnqwnUhpprKrqvcEHgvXLEDwAQWK4g2e5qZngOKN8CLULxGjkCZrtMFSlieWwCsJGW18a9rKduThrh+LoO3nn8I4P9qGfQLmgmNpOf1pbH78wsptzW89fw7AJOY+XQAsgguAs1MzwHgMJSwaV9CWQDGCCUO/2woC0d8QURXMvOuAMpsiOPoCW89fx3As8xc75WqBU3DRdDzhVCMd9kAFnvsE/05Aoux+COUgJg/qN9/dPn+G4A8IvpYXWlGUAORkZGlZrO5jJmlAwcOXF5cXBxmt9ulysrKoKNHj7Y9f/58tBZ/rSHyNWfi4uIKMzIytvXp02db165ds5KSkk4wsxEAbDabm3EuMTHRCgD79u3zWtSlrKyMNm3a1FA3vzopKirSAUBycrLXTSczM9O0d+9evxeeufLKKyunTJmSBwC7d+/2K98f//jH0l69epXbbDa6//7728ly7bbdn376yVxWVkYAMHjw4DIiws6dO0N27drlZVzMzMw07dq1K0SSJNxwww3OqfFt27a1AsDhw4d9yvjVV19FuP7W9BVqH8PMukD0XK/XS4AyPb6ufFOnTs0DgOXLlxs++OADMwBMnz79bFBQkC06Ovp8Wlra3uDg4HJZlvWnT59OqLWxGoHLLrvseEZGxrbevXtndunSZY+2cMvevXu7BBKXUXDReBNKIOeTUII1C3zAzKeYmZiZACRCifUiAdhGRNNqzy1oBjQrPWfmr5n5aWbewswFzHyemTcx860AXoWiW/+4CHK9p+q4AUAHAA9BabfsWl7AC5oPzUrPmyvMvFHVcx0Uz/NxUPR9NxHddlGFE/hDs9JzZl7BzHOYeSczlzDzOWb+gZmvgeL5ZQbw8kWQ60VVz4MAXA7grwAeALCTiNKaWh5BwDSZnhPR01CMc+cBjGlJi1c1ZX8eiGHxJgB7oZy4jurfWAB7oLgRj4Yy9WlOQwr4e6Rjx46HzWZzmcViMR06dOjyHTt29N6zZ0+3goKCuNjY2DyTSVnVWa93X2ylPvk0T0XXlZk9kWVZ82p0WqhOnToVf+jQoRTPP5dynYvF1HW8da0aJkkSgoODrQkJCfl6vb4EAMrKylppcgHAjTfeWAoAq1evjt65c6fTIFZWVkbjx49vl5ub22Qei506daoCgCVLlsRWVVU55xTn5OTox48f395X3MVPP/00bOXKlRE2m7st0m63O41ybdq08TvGyPvvv38kIiJCXrduXeQNN9zQcf/+/V7Hf/bsWd306dMTBw8enFpVVSUBwOWXX24dMmRIkcPhwIMPPtiuoKDAef7OnTunmzRpUjuHw4Hhw4cXaitCA8DAgQMrQkJCHIcOHTItWrQo2rWeOXPmtPrqq6+iPOvv2LHjYYPBUAkADocjuCZ99ZUvMTGxzGAwoKCgQL9hw4Za9Xzs2LFF8fHx1i+//DIqJyfH2K1bt4qBAwc6Y3RKksTx8fG5AFBSUuJmAPWl46dOnYp3yVunnmt6WlNcSA2dTschISFVKSkpp+Lj43OqqqqCjx8/nlxbHsHFhYj+CWWluTMArlfDgbiivSWs7YWa9rbRNYZtk+YjopuJaJmPv1SPcmsr25c8PmHmXHXlumsAnAbwGhEFGvNR0EQ0Qz2vixehBBvvSkTOPpSIZvnS88aQh5ntzHyUmRdCmdoXAeB9daqUoBnSiHpeX+rbnz9QQ38eeyHl+oKZHcx8kpnfg/IAbwOwlIgSa8snuHg0Qz2vi+fVzxuIyPmynYhe8aHjr7jka0g9tzLzQWZ+Ccq02nYA3qWGjhslaDCaUs+JaAYUPS0DMIyZ9/hIJvpzBBZj8UUA05n5O5dtR4goH8qy2ulEJAOYD+DPDSXg7xGj0Wjv0qXL/uLi4vCSkpIwbdXZqKio4rCwsIodO3b0AACz2Vx5ofmCgoIsAGC1Wms0vGnx7LS0AFBaWhpRXl4e6iP5MTWt1TVvDRDgbSCtDUmS7IBiyCktLQ2JjIwsBYAhQ4aUXXvtted/+OGHiCuuuCItIyOjTK/Xc1ZWVogkSXzbbbcVrFq1Kqb20huGxx9//OxHH30U8+OPP0a0b9++W69evcqrqqqkzZs3h8XHx1sHDx5c/O2330a65tmxY0fw7Nmz24aGhspdu3atiIuLs1VWVko7d+4Myc/PN8TGxtqeeeYZz06xRtLS0qzr16/fO3r06I4//PBDRFpaWvfU1NSK5ORkiyRJOHXqlHHPnj0hsiwjKSnJajKZnMbdd95558SgQYNMmzdvDrvsssu69+/fvxQANm3aFFZSUqLr3Llz5dtvv+0WIyIsLMwxY8aM0y+88EKbKVOmtO/Zs6ccHR2Nw4cPt83JydFPnjz5zJtvvhnvmsdoNNrj4uJOAriciKzR0dElvvTVE6PRaO/Ro8f+QYMGdf72229Dx44d6+jdu7fFbDZbWrVq5Zg0aZIBqNZzg8GACRMm5M+ZMycJACZNmpTnWWZwcHAVUB3zUcNzKj4AhISElEG5UTljK/p5/fhtGI6LizuXm5vbprS0NMLhcJBYHbr5QUT/gBJLJR/KoOWgj2TH1M92tRTV1iOt6/faDMu+8mmxYiKJKLyGqZe+8vWC9zQIQIkjtI+ZS4ioCEpsxHYAfE1H8lVurTBzERF9AuBhKB6M2+vIImhimqme14qqV3lQYmIloTq+0FAo0+o8mdDI8vxGRHsBdAPQH8psHkEzopH1vL5oZQSqjwPguz9/FsA51P8+USvMfJSINgAYAWAIgKX+5hU0Dc1Uz+tin/pphBL/TVsU4zZ4y3gcwGPq92PqZ0Mfx8dQFgpLhxLf7mgAeQVNQFPqORH9GcrsiEoAI5j51xqSamVc0v15IIbFNCjLcnuSo+4DgCwoy3YL6oCIEBUVVRIVFeWmIJWVlUF2u92g0+nsoaGhXisjB5ovJCSkAgAsFkuwLMuk0+m8DBgVFRUhAGA2m535unTp4nMFaQ2z2VxFRA5ZlnWVlZVBNawMTQBgMBiqaiurJmw2m5t+rl279vDMmTMT16xZE71p06awqKgo+3XXXVf8yiuv5Lz++utx9amjPqSlpVm3bNmSPXPmzKQtW7aEff/995FxcXHWu+++O3/OnDm5kyZNauuZZ/To0eeLi4v1v/zyS+jx48eDtm/fHmo2m+WEhATrvffemz9jxoz8xMTEgFZl6tmzp2Xfvn173nrrreg1a9ZE7dq1y3z48OFgZkZsbKxt8ODBRbfcckvxhAkTioKCgpznPSEhwb5ly5Z9L730Uus1a9ZEbdiwIRxQVoOeMmVK4VNPPZUXHm47v2IAACAASURBVB7u5WX6/PPPn42Ojra/+eabrbOzs4ODgoLQq1cv29KlSw+Vl5frPA2LrkiSZO3QoYMzgK6mr6oh2asfIiKsWLHi0PTp09usX78+4uuvvzbJshyckJBgu++++7z0fNiwYSVz5sxJioyMtN9///1esV7tdrtelcPtuDIyMrbV1sba9aNdI57IsixZLJZg17T+oNfrZSJiZia73a4zGo1ihcVmBBH9HcAMAAUABjNzdg1JNUNZVyIKrmHlub4eaQFlIF0JIJqILqthBbl+nvmY+TwRHYYS560vlBgp/uR7FsogpTYyobzB7AvfhkWvcv0kX/1ssj5a4B/NVc/9kFsHxUMQcPG2VafV1UajyKMi9LyZ0gR6Xl/qex+YgGpjuRf1vU/4idDzZkoz1vO6cH3B79qfp9SRr1GOg5mZiAoAhEPRc2FYbEY0pZ4T0UMA/gVlLZGRdSwwJPpzAOTvQo1EtA1KsMoHtHnlRBQE4G0AaarH4gAAK5i5oVeRapbs3LnzWM+ePd0W79i7d2/n8vLy0JSUlCOx/8/encdFVa9/AH++szEz7Az7sLqBC6KA5J5YJpbeEkjN1NTKFMmtzJtlqbe62XJ/aW5paVl6XcKVq2hdTa7mvuBCoIAICMg+MCzDMPP9/TFgCMMyxqL1eb9evLJzzvfMc4YDMzzzfJ+vvb1JKxsTEaWmpnoUFhY6ODg45Hh6eja7kEdLxl27dq17ZWWl3MPDI83R0bGg7r7i4mKL5ORkH5FIpPX3979iStX3jRs3OpeUlNg4OTllubu737fsekVFheT69et+jDHu7+8fLxKJml3khcjQU+/KlSu99Xq90MfH5zdLS8sWJ2ug/Txs9/nLL7/svmnTJseZM2fmrFu3rsH50tLS3PPz8x0tLCxKfH19jX2yZRTnnC5fvuyv0+lEXbt2TbK2tq47ZZTu3r2ryMjI8JLJZOU9e/Zs8QIVxcXFlsnJyd0EAoGub9++l2t/7uLj4+39/f29WnoeaH2MsY+JaBERFZHhk9AmX6hrXhsDiOglzvmWevseJ0Mf4hwiUnLO9XX2RRNRGBG9zzlfXm9cJzKsplxNRE6c8+I6+z4nw5uqzZzz6fXGWZGh14wVEfVs4g2Xset4nQxvoI5xzofX2yckoiQyvLF5hnN+0ITz/kKGKrI3OOf/auk4aFsP+33eTCzPEtFeMkz7UZjSZL+N4qn7cxfIOb/Y0nigbbXXfW7kPN+SoQplIef8syaOa/X7sWZsq79OMMNCCYlkeB0I55zvbmk80LYe9vu8mVjmkmHBlCTOuW9zx9cb2yrXUW9cJyJKJsPitM6c87xmhkA7ac/7nDE2k4jWEZGGiJ7lLVgoDr/PTeuxGEmGUsk7jLFfav5YuFOzrXap6k5kWDEHmlBWViar2z+QiEiv11NmZqZzYWGhg0Qi0bi5uWW31jhnZ+ccIqKsrCxlRUXFvf6EVVVVooyMDE8iIkdHxxxTW0m4uLhkExHl5uY6l5SU3OsrVF1dLUhLS/MmIlIoFHl1k4pVVVWi7Oxsh+rq6gb3XmVlpSQ5ObmzXq8XymSyciQVH23tdZ8nJyeL//3vf9uLxWK+YMGC3Prj7ty545Sfn+9IROTk5GTSSsyMMXJ0dMwhIkpPT/esqqq6V11ZXl5ulp2drSQiqu3hWEulUlkUFhZa6/UN38eoVCrz9PR0TyIiOzu7fLRweXgwxj4gw5uWYiIa0dyblhr/rPnvCsZYlzrncqTfXw8/NvKm9mMyvHFdxBgLrjPOgog2keH1ea2RNx9fkOFT0ZcYY3+rM05ERF+R4c3FXlOSijU2k+ENVkjNp7T1Y+1Mhk9DD9XdwRibxxhrUKXNGLOq+WT5cTIkgLabGA+0kYf9PmeMyRljs2qOqR/7M0S0seZ/15iSVPwD8TjWxGNlJB4vItpJhp+780gqPjza+T5/UA/6OtCcB3qdYIY+pfZUT831byLD60AGEcWaGA+0kYf9PmeMeTDGJtYUI9Xdzhhjk+vE8n8PcHqTr4Mx1qMmnvsWCa3Z14sMv88ZEe1BUvHh0Z73OWPs1Zr9GiIa25KkYu256C/++7zFFYs1gZiTYcEWn5pNiUS0jXOubnzUn1d8fHxap06dytPT0+/Np9doNDK9Xi+QSCQaoVB4b3pjz549a3tIUHJyspdKpbKVyWTlYrFYq9frWXl5uYVOpxNJJBJNt27dbkil0gb92h50HNHvlV6MMW5hYVHCGONqtdpSr9cLraysirt27ZryIAmOO3fuOGVnZ7sREVlYWJQIhUKdWq221Ol0IplMVubr63tDKBTe+4GtrKyUXLt2zY8xxqVSablEIqninJNWq5VUVlbKOedMIpFounbtekMmk7W4Zx20rdLSUvnDdp9HRkYq79y5Izlx4oRVYWGhaPLkyTR//nydVCotE4vF1dXV1aLKykpZbV9FFxeXTKVSaVJikchQtXjjxo0upaWl1gKBQGdhYVHKOWdqtdqKc84UCkWut7d3Rt0xtZWMAoFAV3sdOp1OWFVVZabRaKRERJaWlqouXbqk1G1PgIrFjlPzYr2v5n/Pk2FhMmMSOef3LVLGGFtLhg/YKonoZzI0RH6Cal7siSiCc96gapsx9hYRrSDDQhRHyfCG6XEyTEs4Q0TDOefGWmK8QETfk+FNygkyLJDSnwy9ZJKJaBDnvEGv0ebUfIJ7iIhkRHSBDJ+u+hNRdzL0ehnMOU+qNyaNDD1lEshQ1aghQ9+7PjXXX0pEE0ypcoS28yjc54wxGzJUJFSSYYp+Bhn6b3UnotqKlt1kuK9MTSw+SDxeZJgOpyGiy2ToeSQgw30fQIZ2HslENJJznmpqPND62vs+Z4y5ENGeOps6k6FfXDr93jOOyPBHana9sQ/0OtCcB3mdYIzxmjiuEFFKzb/dyHCfy4joLhn6jJ03NR5ofY/Cfc4Y60OGDyVLyfD7PIuILImoJxHVznBczTl/oPUZTL0OxtgwMvTBLauJ5w4ZVoX2IsP7FkZEZ4noac75fbP8oGO0531ec79eJMN9kEiG38HG5HPO36y/8a/++9ykxCLcLz4+Ps3T01OTnJzcrblj6/ZyKygosMnPz7evqKiQ63Q6EWNMb2ZmVmljY1Pk7Oyca6wP4h8ZVysvL88uLy/PsbKyUsY5JzMzs0qFQpHv7Oyc90eqpgoLC63u3r3rVFFRYc45F0gkEo2trW2Bq6vr3fqLUuh0OkFOTo6DWq220Gg0surqajHnnAkEAp1UKq2wsbEpcnR0zG/uWqB91U7dbe649rzPlUqlX3Z2tsTe3l4bFhZW/MYbb3CtVmteVVUl0el0IiIisVhcZW5urnZ0dMz9IxWwnHPKyclxKCgosNdoNFLGGEml0nIHB4c8BweHBj0dKyoqJHl5efZlZWUWVVVVZrXJTZFIpJXJZGUKhaJQoVA0+MQKicWOwxibSi1rXnycG+nlxhibSESziciPiIRkeEOyiYjWNTOVKJSI3iCiICKSElEqEW0jos94TduRRsY9RkRvE9EgMrxByiBDsuVDzrmqBdfR2Hl9iOg9MrzxsiXDG4+DRLSs/h/ENcdPJMPMhSAy9Fi2JsMfEDeJ6AgZPp3NetB4oHU9Cvc5Y0xCREvI0DfIhwx/uErI0A/oPBF990en7ZgYj5wMf5gMJcMCLQ41Y4qI6BoZ/tD+mnP+QP2kofW1931eJ/ncHG/OeZqR8Q/0OtAcU18naqrVh5IhweJEhpVIVWS4/hgiWv8A1TbQRh6F+5wxpiBDpVk/IupChp6KAjLMkDhNRBs450dbcM5GmXIdjDEHIppBREPI8EGVAxk+HMonwwdHO4noB2MfkkHHaM/7vE7iuTm3eSN9QP/Kv89NrVgUkeGNngcZ3uTdU3/u+l+BsR6LAAAPColFAAAAAAAAeJS0eFVoxpgvER0gQ9kyI0M5pYgMJaUaIvrLJRYBAAAAAAAAAAD+qkxZvOULMvRcsiaicjL0ugkiQ9lweOuHBgAAAAAAAAAAAA+rFlcskqE3wuOc8zLGmJ6IRJzzizVNKr8kot5tEiEAAAAAAAAAAAA8dEypWGRkqFQkMjTQVtb8O5MMzVgBAAAAAAAAAADgL8KUisVrRORPhpVtzhLRIsaYjoheJcMy1wAAAAAAAAAAAPAX0WzFImMshDEmIaIP62xeQoaVoY8R0VNENKdtwgMAAAAAAAAAAICHUUsqFv9LRJVEdIqIjjHG7hLRGc55d8aYHREVcc55WwYJAAAAAAAAAAAAD5eW9FjsSkRziSiHiGYR0QkiKmaMHSKil4kogDHG2i5EAAAAAAAAAAAAeNg0m1jknKdwzjdyzl/knCuJqAcRvUVEKiJ6gwz9FgvaNkwAAAAAeNQwxr5ljPGaLy1jLJcxdowxNpsxJjbhPMNqzmHflvECAAAAgGlMWbyFiIg454mMsUIiKiRDcnECEVm0dmAAAAAA8KfwMxFNJiIhETkQ0XAiWkZEkxljT3DOyzoyOAAAAAB4cC2ZCk2MMQVjLJwxtpoxlkBE6WRYsKWAiMYRkW0bxgiPsEuXLkknTpzo4eXl1Usmk/WVSqUBLi4ufn379vV99dVX3fbs2WPV0TE2ZtWqVQrGWGDdL7FYHGBra+vfrVu3Hs8995z3l19+qSgtLW3052jBggWujLHABQsWuLZn7O2pqKhI8P777zsNHDiwm4ODQ2+JRBJgbm7et0uXLj3HjRvnuXfvXsuOjhEAADqUhnOewzm/wzm/zDn/FxENI6IAMsyCIcbYJMbYOcZYaU1V4y7GmLJmnxcZFgwkIsq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\n", 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\n", 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\n", 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\n", 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\n", 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" - ] - }, - "metadata": { - "tags": [], - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "BtHUpG0bS1bq" - }, - "source": [ - "# Part 2: Comparing imputation methods\n", - "\n", - "We will compute approximate values for missing values in the time series. This is called [imputation](https://en.wikipedia.org/wiki/Imputation_(statistics)). We can calculate the imputation accuracy by comparing the imputed values with real values. Although in practice we don't hold the original values, we can determine the accuracy by artificial missing points. \n", - "\n", - "When sampling in Part 1, we made sure to only keep statistical variables for which some counties had time series holes, and some did not.\n", - "\n", - "In this step, we're going to utilize the counties with no missing values. We will artificially remove some of the dates and use the imputation methods to fill them. Then, we can compute the accuracy of each imputation method by comparing with the original (removed) values. Note that we want to compare the $R^2$ scores of different imputation methods and it's crucial to use \n", - "the same set of missing points for all of methods. \n", - "\n", - "In this notebook, the $R^2$ score $\\in [-\\infty , 1]$. Higher $R^2$ scores denote higher accuracy imputation. \n", - "\n", - "\n", - "You can learn more about $R^2$ score in [Coefficient of determination](https://en.wikipedia.org/wiki/Coefficient_of_determination). In short:\n", - "\n", - "$$ R^2 = 1- \\frac{\\sum{(y_i - f_i)^2}}{{\\sum{(y_i - mean)^2}}} = 1- \\frac{\\sum{(err)^2}}{{\\sum{(y_i - mean)^2}}} $$\n", - "\n", - "where $y_i$s are the actual values and $f_i$ are the imputed ones. $mean = \\frac{1}{n} \\sum{y_i} $." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "wi1jY4lzQ129", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 472 - }, - "outputId": "56e23cd6-746c-40d9-9649-cedf81e86d86" - }, - "source": [ - "_METHODS = [\"Mean\", \"Median\", \"Spline_d1\", \"Spline_d2\", \"Spline_d3\", \"Spline_d4\", \n", - " \"Time\", \"Spline_d5\", \"InterpolateLinear\", \"Pchip\", \"Krogh\", \"InterpolateAkima\"]\n", - "\n", - "import warnings; warnings.simplefilter('ignore')\n", - "score = artificial_score_generator(random_stats, quiet=True)\n", - "pd.set_option('display.float_format', lambda x: '%.2f' % x)\n", - "score" - ], - "execution_count": 5, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/html": [ - "
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methodAverage of 20 rounds for Count_Establishment_PrivatelyOwnedEstablishment_NAICSHealthCareSocialAssistanceAverage of 20 rounds for Count_Death_55To64Years_ExternalCausesAverage of 20 rounds for Count_Death_Female_BlackOrAfricanAmericanAverage of 20 rounds for ReceiptsOrRevenue_Establishment_NAICSEducationalServices_WithPayrollAverage of 20 rounds for Count_Death_45To54Years_ExternalCausesAverage of 20 rounds for WagesTotal_Worker_LocalGovernmentOwnedEstablishment_NAICSPublicAdministrationAverage of 20 rounds for WagesTotal_Worker_StateGovernmentOwnedEstablishment_NAICSServiceProvidingAverage of 20 rounds for WagesTotal_Worker_NAICSAdministrativeSupportWasteManagementRemediationServicesAverage of 20 rounds for Count_Death_DiseasesOfTheDigestiveSystem_Male_WhiteAverage of 20 rounds for WagesAnnual_Establishment_NAICSInformationAverage of 20 rounds for Count_Death_55To64Years_Neoplasms_BlackOrAfricanAmericanAverage of 20 rounds for Count_Death_55To64Years_ExternalCauses_WhiteAverage of 20 rounds for Count_Death_65To74Years_Female_WhiteAverage of 20 rounds for Count_Worker_PrivatelyOwnedEstablishment_NAICSEducationalServices
0InterpolateLinear1.000.940.82-2.170.830.990.990.990.760.810.820.940.830.99
1Spline_d11.000.930.800.640.800.990.990.990.730.720.780.930.810.99
2Time1.000.940.82-2.170.830.990.990.990.760.810.820.940.830.99
3Pchip1.000.860.70-2.170.250.980.980.980.210.640.480.890.630.99
4Spline_d20.82-0.120.120.29-3.070.970.980.98-2.160.460.00-0.48-0.520.93
5Mean0.800.760.770.570.760.800.800.800.770.670.750.760.770.80
6Median0.750.750.750.570.760.790.780.800.760.640.730.740.760.79
7InterpolateAkima-16.55-16.84-21.11-2.17-19.71-18.43-20.85-18.20-20.61-23.46-21.87-23.04-18.73-20.33
8Krogh-16.55-101.00-101.00-2.17-101.00-18.43-20.86-18.20-101.00-27.14-101.00-101.00-101.00-20.34
9Spline_d5-101.00-101.00-101.00-2.17-101.00-4.25-0.67-2.45-101.00-27.14-101.00-101.00-101.00-101.00
10Spline_d4-101.00-101.00-101.00-2.17-101.000.390.760.45-101.00-7.74-101.00-101.00-101.00-101.00
11Spline_d3-101.00-101.00-101.00-101.00-101.000.910.960.92-101.00-0.67-101.00-101.00-101.00-101.00
\n", - "
" - ], - "text/plain": [ - " method ... Average of 20 rounds for Count_Worker_PrivatelyOwnedEstablishment_NAICSEducationalServices\n", - "0 InterpolateLinear ... 0.99 \n", - "1 Spline_d1 ... 0.99 \n", - "2 Time ... 0.99 \n", - "3 Pchip ... 0.99 \n", - "4 Spline_d2 ... 0.93 \n", - "5 Mean ... 0.80 \n", - "6 Median ... 0.79 \n", - "7 InterpolateAkima ... -20.33 \n", - "8 Krogh ... -20.34 \n", - "9 Spline_d5 ... -101.00 \n", - "10 Spline_d4 ... -101.00 \n", - "11 Spline_d3 ... -101.00 \n", - "\n", - "[12 rows x 15 columns]" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 5 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "xvZASllBtHUH" - }, - "source": [ - "You can sort the above **`score`** table by different statistical variables. The current table is sorted by $R^2$ values of the first variable. " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "yvJSW-YF-J4K" - }, - "source": [ - "# Conclusion\n", - "\n", - "In this notebook, we used Data Commons to survey the missing value patterns across different time series. In our experiments, a time series might have random disjoint missing values, a missing interval (consecutive dates), or even multiple missing intervals. \n", - "\n", - "\n", - "We used cross-validation to evaluate multiple imputation methods. The method with the highest $R^2$ score may differ by time series. Although the best method might change across runs, in our experiments, we observed that in most cases **time**, **interpolate linear**, **mean**, and **median** perform well. Note that the linear method \"ignores the index and treat the values as equally spaced.\" ([pandas.Series.interpolate](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.interpolate.html)) thus, for equally spaced data series time and linear will have the same result. \n", - "\n", - "While performing imputation, we recommend to avoid any method with a negative score for a time series." - ] - } - ] -} diff --git a/notebooks/Place_Similarity_with_Data_Commons.ipynb b/notebooks/Place_Similarity_with_Data_Commons.ipynb deleted file mode 100644 index 358ae1d6..00000000 --- a/notebooks/Place_Similarity_with_Data_Commons.ipynb +++ /dev/null @@ -1,3183 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Place Similarity with Data Commons.ipynb", - "provenance": [], - "collapsed_sections": [], - "include_colab_link": true - }, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.10" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "-R4Acs7XRHce" - }, - "source": [ - "Copyright 2020 Google LLC.\n", - "SPDX-License-Identifier: Apache-2.0\n", - "\n", - "Author: Jin Peng Zhou" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "VVn3MLLfgWRJ" - }, - "source": [ - "# Using Data Commons statistical variables to compute place similarity and dissimilarity\n", - "Welcome to this Colab notebook! We will walk you through several examples of exploring similar and dissimilar places based on [`StatisticalVariable`](https://docs.datacommons.org/statistical_variables.html) values available in Data Commons. There are primarily two types of data we define here:\n", - "1. Snapshot. We look at the statistical variable value at a given time (most likely the latest observation). The similarity criterion we used is absolute difference between two values.\n", - "2. Time series. We look at all available statistical variable values as a time series. The similarity criterion can be either Pearson correlation (pearson), or Mean Square Error (mse).\n", - "\n", - "We hope the examples can help you better understand how to use Data Commons for further research and analysis, and in particular, identifying similar places based on your set of criteria." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "H8hSuI8_gWRN" - }, - "source": [ - "## Load Packages" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "saoPbDhDgWRP" - }, - "source": [ - "!pip install datacommons --quiet\n", - "!pip install -U plotly --quiet\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib\n", - "from scipy.stats import rankdata, pearsonr\n", - "import datacommons as dc\n", - "import numpy as np\n", - "import copy\n", - "import pandas as pd\n", - "from urllib.request import urlopen\n", - "import json\n", - "import plotly.express as px\n" - ], - "execution_count": 1, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "2KcQczP2gWRZ" - }, - "source": [ - "## Define our inputs\n", - "1. query_dcid: this is the place we are looking at.\n", - "2. K: number of similar/dissimilar places to retrieve.\n", - "3. places: a list of candidate places to compare. Each element is a place dcid" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "7DuF-ymGgWRb" - }, - "source": [ - "query_dcid = 'geoId/0666000' # San Diego city\n", - "# query_dcid = 'geoId/06085' # Santa Clara county\n", - "K = 10" - ], - "execution_count": 2, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Wfq_GuuIoEfJ" - }, - "source": [ - "## Prepare places input\n", - "Here we need to first get all the places we are interested in. This could be counties in US, CDC500 cities, CDC500 cities in a particular state, etc. The format we need is a list of dcids. We included some examples below" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "7nOTr0J6mvgz" - }, - "source": [ - "places = dc.get_property_values([\"CDC500_City\"], \"member\", limit=500)[\"CDC500_City\"] # CDC 500 cities\n", - "# places = dc.get_places_in(['country/USA'], \"County\")['country/USA'] # all counties in US\n", - "# places = dc.get_places_in(['geoId/06'], \"County\")['geoId/06'] # all counties in California" - ], - "execution_count": 3, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "fkFH-1b3Eb5C" - }, - "source": [ - "Generate a dictionary of place and its name" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "sSq0I1Cw_HWT" - }, - "source": [ - "places = sorted(places)\n", - "place_dict = dc.get_property_values(places, \"name\")" - ], - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IVDjqKzOgWRk" - }, - "source": [ - "Get all the state and place information we need" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "ZlGVp116gWRl" - }, - "source": [ - "all_states = dc.get_places_in(['country/USA'], \"State\")['country/USA']\n", - "all_states = dc.get_property_values(all_states, \"name\")\n", - "# all_counties = dc.get_places_in([place_domain], \"County\")[place_domain]\n", - "# all_counties = dc.get_property_values(all_counties, \"name\")\n", - "# id_list = sorted(list(all_counties.keys()))" - ], - "execution_count": 5, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "-GN6bS57gWRt" - }, - "source": [ - "## Single statistical variable snapshot case\n", - "First, let's look at one statistical variable say unemployment rate for snapshot case. For this statistical variable, it does not make sense to look at it on a per capita basis, so we set it to False" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "YtN6mpKWgWRv" - }, - "source": [ - "statvars = ['UnemploymentRate_Person']\n", - "per_capita = [False]\n", - "time_series = [False]\n", - "time_series_similarity_types = ['pearson'] # either pearson or mse for time series similarity metric\n", - "statvar_display_names = ['Unemployment Rate']" - ], - "execution_count": 6, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "zgHVqhPzgWR2" - }, - "source": [ - "## Get all the raw data we need" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "OlpJns-DgWR4" - }, - "source": [ - "def convert_dicts(get_stat_all_dict, statvars):\n", - " data = []\n", - " for i in range(len(statvars)):\n", - " current_statvar_data_dict = {}\n", - " for geo, statvar_dict in get_stat_all_dict.items():\n", - " if 'sourceSeries' not in statvar_dict[statvars[i]]:\n", - " current_statvar_data_dict[geo] = None\n", - " else:\n", - " length_list = []\n", - " for source in statvar_dict[statvars[i]]['sourceSeries']:\n", - " length_list.append(len(source['val']))\n", - " longest_index = length_list.index(max(length_list))\n", - " current_statvar_dict = statvar_dict[statvars[i]]['sourceSeries'][longest_index]['val'] # use the longest series by default\n", - " current_statvar_data_dict[geo] = {'data': current_statvar_dict}\n", - " data.append(current_statvar_data_dict)\n", - " return data\n", - "\n", - "def get_data_and_population(places, statvars):\n", - " get_stat_all_dict = dc.get_stat_all(places, statvars)\n", - " data = convert_dicts(get_stat_all_dict, statvars)\n", - " get_stat_all_population = dc.get_stat_all(places, ['Count_Person'])\n", - " population = convert_dicts(get_stat_all_population, ['Count_Person'])[0]\n", - " return data, population" - ], - "execution_count": 7, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "cCpZYXCQgWR-" - }, - "source": [ - "data, population = get_data_and_population(places, statvars)" - ], - "execution_count": 8, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "8ncLd9GWgWSD" - }, - "source": [ - "## Normalize the data if applicable and compute distance\n", - "Here we will first normalize the data if per_capita is True\n", - "We then for each statistical variable, compute distance between query place and every other place. The smaller the distance is, the more similar two places are based on this statistical variable. " - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "gGJiqTjmgWSE" - }, - "source": [ - "def normalize_single(data_dict, population_dict, quiet=False):\n", - " new_data_dict = {}\n", - " population_years = sorted(list(population_dict.keys()))\n", - " for k in data_dict.keys():\n", - " if k[:4] in population_years:\n", - " new_data_dict[k] = data_dict[k] / population_dict[k[:4]]\n", - " elif int(k[:4]) > int(population_years[-1]):\n", - " new_data_dict[k] = data_dict[k] / population_dict[population_years[-1]]\n", - " if not quiet:\n", - " print('observation on {0} is leading population, using latest population value on {1}'.format(k, population_years[-1]))\n", - " else:\n", - " if not quiet:\n", - " print('dropping {0} data due to no matching denominator'.format(k))\n", - " if not quiet:\n", - " print(100 * len(new_data_dict) / len(data_dict), 'percent of data successfully normalized and not dropped.')\n", - " return new_data_dict\n", - "\n", - "def normalize_data(data, population, per_capita, quiet=False):\n", - " data = copy.deepcopy(data)\n", - " # if cannot normalize all values for a place, drop this place\n", - " assert len(data) == len(per_capita)\n", - " for i in range(len(per_capita)):\n", - " if per_capita[i]:\n", - " if not quiet:\n", - " print('normalizing statvar {0}'.format(i))\n", - " current_data = data[i]\n", - " for k in current_data.keys():\n", - " if not quiet:\n", - " print('normalizing {0}'.format(k))\n", - " if current_data[k] is not None and population[k] is not None:\n", - " current_data_place = current_data[k]['data']\n", - " population_place = population[k]['data']\n", - " data[i][k]['data'] = normalize_single(current_data_place, population_place, quiet)\n", - " else:\n", - " if not quiet:\n", - " print('dropping {0} due to no data'.format(k))\n", - " return data" - ], - "execution_count": 9, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "pxaPqQ30gWSJ" - }, - "source": [ - "def compute_distances(query_dcid, data, statvars, time_series, time_series_similarity_types, quiet=False):\n", - " distance_lists = []\n", - " for i in range(len(data)):\n", - " if not quiet:\n", - " print('processing {0} data'.format(statvars[i]))\n", - " distance_lists.append(get_distance_all(data[i], query_dcid, time_series[i], time_series_similarity_types[i], quiet))\n", - " return distance_lists\n", - "\n", - "def get_distance_all(data_dict, query, time_series, time_series_similarity_type, quiet=False):\n", - " id_list = []\n", - " distance_list = []\n", - " if 'data' not in data_dict[query]:\n", - " if not quiet:\n", - " print('WARNING: no observation available for {0}'.format(query))\n", - " return {}\n", - " query_dict = data_dict[query]['data']\n", - " for k in data_dict.keys():\n", - " id_list.append(k)\n", - " # if 'data' in data_dict[k].keys(): # Before API change\n", - " if data_dict[k] is not None and 'data' in data_dict[k].keys():\n", - " distance_list.append(get_distance_pair(query_dict, data_dict[k]['data'], time_series, time_series_similarity_type, quiet))\n", - " if distance_list[-1] == float('inf') and not quiet:\n", - " print(\n", - " 'WARNING: distance between {0} and {1} is infinity due to no common observation dates'.format(query,\n", - " k))\n", - " else:\n", - " distance_list.append(get_distance_pair(query_dict, {}, time_series, time_series_similarity_type, quiet))\n", - " if distance_list[-1] == float('inf') and not quiet:\n", - " print(\n", - " 'WARNING: distance between {0} and {1} is infinity due to no observation for {1}'.format(query, k))\n", - "\n", - " id_list, distance_list = (list(t) for t in zip(*sorted(zip(id_list, distance_list))))\n", - " if not quiet:\n", - " print('max non-infinite distance:', np.array(distance_list)[np.array(distance_list) != float('inf')].max())\n", - " print('min distance:', np.array(distance_list)[np.array(distance_list) != float('inf')].min())\n", - " return distance_list\n", - "\n", - "def get_distance_pair(dict_a, dict_b, time_series, time_series_similarity_type, quiet=False):\n", - " common_dates = get_common_keys(dict_a, dict_b)\n", - " if len(common_dates) == 0:\n", - " if not quiet:\n", - " print('WARNING: no common dates between two time series, will return inf')\n", - " return float('inf')\n", - " common_series_a = [dict_a[date] for date in common_dates]\n", - " common_series_b = [dict_b[date] for date in common_dates]\n", - " if time_series:\n", - " if time_series_similarity_type == 'pearson':\n", - " if len(common_series_a) < 2:\n", - " return float('inf') # due to insufficient number of data points\n", - " else:\n", - " r, p = pearsonr(common_series_a, common_series_b) # need to convert correlation to some distance measure\n", - " return 1 - r\n", - " elif time_series_similarity_type == 'mse':\n", - " return np.square(np.subtract(common_series_a, common_series_b)).mean()\n", - " else:\n", - " raise NotImplementedError\n", - " else:\n", - " return abs(common_series_a[-1] - common_series_b[-1])\n", - "\n", - "def get_common_keys(dict_a, dict_b):\n", - " return sorted(list(set(dict_a.keys()).intersection(set(dict_b.keys()))))\n", - "\n", - "def convert_dict_to_list(d):\n", - " sorted_dict = sorted(d.items()) # sorted by key, return a list of tuples\n", - " x, y = zip(*sorted_dict) # unpack a list of pairs into two tuples\n", - " return x, y" - ], - "execution_count": 10, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "SymLEldwFjWB", - "outputId": "3e7c9ebe-73c2-4b66-e56f-4d2e9adb3c9a" - }, - "source": [ - "normalized_data = normalize_data(data, population, per_capita)\n", - "distance_lists = compute_distances(query_dcid, data, statvars, time_series, time_series_similarity_types)" - ], - "execution_count": 11, - "outputs": [ - { - "output_type": "stream", - "text": [ - "processing UnemploymentRate_Person data\n", - "WARNING: no common dates between two time series, will return inf\n", - "WARNING: distance between geoId/0666000 and geoId/4752006 is infinity due to no observation for geoId/4752006\n", - "WARNING: no common dates between two time series, will return inf\n", - "WARNING: distance between geoId/0666000 and geoId/1304204 is infinity due to no observation for geoId/1304204\n", - "WARNING: no common dates between two time series, will return inf\n", - "WARNING: distance between geoId/0666000 and geoId/1349000 is infinity due to no observation for geoId/1349000\n", - "WARNING: no common dates between two time series, will return inf\n", - "WARNING: distance between geoId/0666000 and geoId/1303440 is infinity due to no observation for geoId/1303440\n", - "WARNING: no common dates between two time series, will return inf\n", - "WARNING: distance between geoId/0666000 and geoId/2148006 is infinity due to no observation for geoId/2148006\n", - "max non-infinite distance: 13.3\n", - "min distance: 0.0\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "dGt5Zc1xgWSQ" - }, - "source": [ - "## Retrieving similar counties\n", - "We rank each place using the distance computed by our similarity metric and the rank is aggregated for each place.\n", - "First we will retrieve counties that are similar to Santa Clara.\n", - "This is achieved by setting similar to True" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "3imXl4ibgWSR" - }, - "source": [ - "def rank_all_remove_inf(places, distance_lists, similar=True):\n", - " distances = np.array(distance_lists)\n", - " inf_indices = list(set(np.where(distances == float('inf'))[1]))\n", - " new_places = np.delete(places, inf_indices)\n", - " new_distances = np.delete(distances, inf_indices, axis=1)\n", - " assert len(new_places) == new_distances.shape[1]\n", - " ranks = np.zeros((new_distances.shape[1]))\n", - " for i in range(new_distances.shape[0]):\n", - " ranks = ranks + rankdata(new_distances[i, :], method='min')\n", - " if not similar:\n", - " topK = np.argsort(-ranks)\n", - " else:\n", - " topK = np.argsort(ranks)\n", - " return new_places[topK]" - ], - "execution_count": 12, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "TKgdJ74TgWSV" - }, - "source": [ - "all_dcid_ranked = rank_all_remove_inf(places, distance_lists, similar=True)\n", - "# delete query dcid and add back to the front approriately due to tie conditions\n", - "all_dcid_ranked = all_dcid_ranked[all_dcid_ranked != query_dcid]\n", - "all_dcid_ranked = np.insert(all_dcid_ranked, 0, query_dcid)" - ], - "execution_count": 13, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "d9Zr7YrtgWSZ" - }, - "source": [ - "## Visualize our results\n", - "For time series data, we show the retrieval counties by plotting them pairwise per graph.\n", - "For snapshot data, we show the retrieval counties in a table\n", - "Let's Define some plotting functions" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "Jx4QMX0QgWSZ" - }, - "source": [ - "def multiple_plot(x_list, y_list, x_label, y_label, legends):\n", - " assert len(x_list) == len(y_list)\n", - " assert len(x_list) == len(legends)\n", - " for i in range(len(x_list)):\n", - " x = x_list[i]\n", - " y = y_list[i]\n", - " x = matplotlib.dates.datestr2num(x)\n", - " plt.plot_date(x, y, label=legends[i])\n", - " plt.xlabel(x_label)\n", - " plt.ylabel(y_label)\n", - " plt.legend(loc=\"best\")\n", - " plt.show()\n", - "def visualize_all(normalized_data, query_dcid, all_dcid_ranked, place_dict, statvar_display_names, k, time_series, all_states):\n", - " snapshot_indices = []\n", - " for i in range(len(time_series)):\n", - " if not time_series[i]:\n", - " snapshot_indices.append(i)\n", - " df = visualize_snapshots(normalized_data, query_dcid, all_dcid_ranked, place_dict, statvar_display_names, snapshot_indices, all_states)\n", - " for i in range(len(time_series)):\n", - " if time_series[i]:\n", - " print('===================================Plotting {0} time series==================================='.format(statvar_display_names[i]))\n", - " visualize_time_series_single(normalized_data[i], query_dcid, all_dcid_ranked, place_dict, statvar_display_names[i], k)\n", - " return df\n", - "\n", - "\n", - "def visualize_time_series_single(current_data, query_dcid, all_dcid_ranked, place_dict, statvar_display_name, k):\n", - " query_x, query_y = convert_dict_to_list(current_data[query_dcid]['data'])\n", - " for j in range(k):\n", - " current_x, current_y = convert_dict_to_list(current_data[all_dcid_ranked[j + 1]]['data'])\n", - " multiple_plot([query_x, current_x], [query_y, current_y], 'time', statvar_display_name, [place_dict[query_dcid][0], place_dict[all_dcid_ranked[j + 1]][0]])\n", - "\n", - "\n", - "def visualize_snapshots(normalized_data, query_dcid, all_dcid_ranked, place_dict, statvar_display_names, snapshot_indices, all_states):\n", - " results = []\n", - " query_series_list = []\n", - " for index in snapshot_indices:\n", - " query_series_list.append(normalized_data[index][query_dcid]['data'])\n", - " for i in range(len(all_dcid_ranked)):\n", - " dcid = all_dcid_ranked[i]\n", - " current = [dcid, place_dict[dcid][0], all_states[dcid[:8]][0]]\n", - " for j in range(len(snapshot_indices)):\n", - " current_series = normalized_data[snapshot_indices[j]][dcid]['data']\n", - " date = get_common_keys(query_series_list[j], current_series)[-1]\n", - " value = current_series[date]\n", - " current.extend([value, date])\n", - " results.append(current)\n", - " columns = ['dcid', 'name', 'state']\n", - " for i in range(len(snapshot_indices)):\n", - " columns.extend([statvar_display_names[snapshot_indices[i]], statvar_display_names[snapshot_indices[i]] + '_date'])\n", - " df = pd.DataFrame(results, columns=columns)\n", - " return df" - ], - "execution_count": 14, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 402 - }, - "id": "iX7OqAbegWSd", - "outputId": "a08fac62-09c7-47ca-a1b2-63b06bf311b0" - }, - "source": [ - "df = visualize_all(normalized_data, query_dcid, all_dcid_ranked, place_dict, statvar_display_names, K, time_series, all_states)\n", - "df.head(K + 1)" - ], - "execution_count": 15, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/html": [ - "
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dcidnamestateUnemployment RateUnemployment Rate_date
0geoId/0666000San DiegoCalifornia9.72020-08
1geoId/0107000BirminghamAlabama9.72020-08
2geoId/4810768BrownsvilleTexas9.72020-08
3geoId/0680812TurlockCalifornia9.72020-08
4geoId/1912000Cedar RapidsIowa9.72020-08
5geoId/2706616BloomingtonMinnesota9.72020-08
6geoId/4715160ClarksvilleTennessee9.72020-08
7geoId/0664224SalinasCalifornia9.72020-08
8geoId/1831000HammondIndiana9.72020-08
9geoId/4159000PortlandOregon9.72020-08
10geoId/0952000New HavenConnecticut9.72020-08
\n", - "
" - ], - "text/plain": [ - " dcid name ... Unemployment Rate Unemployment Rate_date\n", - "0 geoId/0666000 San Diego ... 9.7 2020-08\n", - "1 geoId/0107000 Birmingham ... 9.7 2020-08\n", - "2 geoId/4810768 Brownsville ... 9.7 2020-08\n", - "3 geoId/0680812 Turlock ... 9.7 2020-08\n", - "4 geoId/1912000 Cedar Rapids ... 9.7 2020-08\n", - "5 geoId/2706616 Bloomington ... 9.7 2020-08\n", - "6 geoId/4715160 Clarksville ... 9.7 2020-08\n", - "7 geoId/0664224 Salinas ... 9.7 2020-08\n", - "8 geoId/1831000 Hammond ... 9.7 2020-08\n", - "9 geoId/4159000 Portland ... 9.7 2020-08\n", - "10 geoId/0952000 New Haven ... 9.7 2020-08\n", - "\n", - "[11 rows x 5 columns]" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 15 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "SG15R4tDgWSg" - }, - "source": [ - "## Now let's retrieve dissimilar counties" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "f9dXhH2IgWSh" - }, - "source": [ - "similar = False # True for retrieving least similar entities\n", - "all_dcid_ranked = rank_all_remove_inf(places, distance_lists, similar)\n", - "# delete query dcid and add back to the front approriately due to tie conditions\n", - "all_dcid_ranked = all_dcid_ranked[all_dcid_ranked != query_dcid]\n", - "all_dcid_ranked = np.insert(all_dcid_ranked, 0, query_dcid)" - ], - "execution_count": 16, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 402 - }, - "id": "PqGN3mFCgWSk", - "outputId": "a3cf8370-9d69-4c82-f6d7-42b72b9cfa1c" - }, - "source": [ - "df = visualize_all(normalized_data, query_dcid, all_dcid_ranked, place_dict, statvar_display_names, K, time_series, all_states)\n", - "df.head(K + 1)" - ], - "execution_count": 17, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/html": [ - "
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dcidnamestateUnemployment RateUnemployment Rate_date
0geoId/0666000San DiegoCalifornia9.72020-08
1geoId/2534550LawrenceMassachusetts23.02020-08
2geoId/0636546InglewoodCalifornia21.72020-08
3geoId/2622000DetroitMichigan21.02020-08
4geoId/0615044ComptonCalifornia20.82020-08
5geoId/3457000PatersonNew Jersey20.72020-08
6geoId/0632548HawthorneCalifornia19.82020-08
7geoId/0604982BellflowerCalifornia18.72020-08
8geoId/2567000SpringfieldMassachusetts18.62020-08
9geoId/0655156PalmdaleCalifornia18.62020-08
10geoId/0644574LynwoodCalifornia18.52020-08
\n", - "
" - ], - "text/plain": [ - " dcid name ... Unemployment Rate Unemployment Rate_date\n", - "0 geoId/0666000 San Diego ... 9.7 2020-08\n", - "1 geoId/2534550 Lawrence ... 23.0 2020-08\n", - "2 geoId/0636546 Inglewood ... 21.7 2020-08\n", - "3 geoId/2622000 Detroit ... 21.0 2020-08\n", - "4 geoId/0615044 Compton ... 20.8 2020-08\n", - "5 geoId/3457000 Paterson ... 20.7 2020-08\n", - "6 geoId/0632548 Hawthorne ... 19.8 2020-08\n", - "7 geoId/0604982 Bellflower ... 18.7 2020-08\n", - "8 geoId/2567000 Springfield ... 18.6 2020-08\n", - "9 geoId/0655156 Palmdale ... 18.6 2020-08\n", - "10 geoId/0644574 Lynwood ... 18.5 2020-08\n", - "\n", - "[11 rows x 5 columns]" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 17 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "3ZIpbVibgWSo" - }, - "source": [ - "## Encapsulate the above functions to one single function\n", - "After we understand the functionality of each function, let's define one function that gets the data, normalize it, compute distance and display results" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "fL4kt0ozgWSp" - }, - "source": [ - "def retrieve_compute_visualize(query_dcid, places, statvars, statvar_display_names, per_capita, time_series, time_series_similarity_types, similar, k, quiet=False):\n", - " all_states = dc.get_places_in(['country/USA'], \"State\")['country/USA']\n", - " all_states = dc.get_property_values(all_states, \"name\")\n", - " places = sorted(places)\n", - " place_dict = dc.get_property_values(places, \"name\")\n", - " data, population = get_data_and_population(places, statvars)\n", - " normalized_data = normalize_data(data, population, per_capita, quiet)\n", - " distance_lists = compute_distances(query_dcid, data, statvars, time_series, time_series_similarity_types, quiet)\n", - " all_dcid_ranked = rank_all_remove_inf(places, distance_lists, similar)\n", - " all_dcid_ranked = all_dcid_ranked[all_dcid_ranked != query_dcid]\n", - " all_dcid_ranked = np.insert(all_dcid_ranked, 0, query_dcid)\n", - " df = visualize_all(normalized_data, query_dcid, all_dcid_ranked, place_dict, statvar_display_names, k, time_series, all_states)\n", - " return df" - ], - "execution_count": 18, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "hDZOjk-ugWSu" - }, - "source": [ - "## Single statistical variable time series case\n", - "We again look at Santa Clara county but this time focus on median income in time series. We choose Pearson correlation to measure similarity and once again, restrict ourselves to California state only" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "B1l_EyXAgWSu" - }, - "source": [ - "query_dcid = 'geoId/06085' # Santa Clara county\n", - "K = 10\n", - "statvars = ['Median_Income_Person']\n", - "per_capita = [False]\n", - "time_series = [True]\n", - "time_series_similarity_types = ['pearson']\n", - "statvar_display_names = ['Median Income']\n", - "similar = True\n", - "places = dc.get_places_in(['geoId/06'], \"County\")['geoId/06']" - ], - "execution_count": 19, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "tb88MY_qgWSx" - }, - "source": [ - "We observe indeed the median income time series plots show similar trend on median income even though their difference is consistently large in some cases. This is expected since we used Pearson correlation coefficient, which unlike MSE, is looking at trend rather than absolute value differences." - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "x9gLrFMwgWSy", - "outputId": "88ba42db-d6e3-4db5-cc29-7a1394e8054a" - }, - "source": [ - "df = retrieve_compute_visualize(query_dcid, places, statvars, statvar_display_names, per_capita, time_series, time_series_similarity_types, similar, K)\n", - "df.head(K + 1)" - ], - "execution_count": 20, - "outputs": [ - { - "output_type": "stream", - "text": [ - "processing Median_Income_Person data\n", - "max non-infinite distance: 1.3087396586209936\n", - "min distance: 0.0\n", - "===================================Plotting Median Income time series===================================\n" - ], - "name": "stdout" - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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aM+sEdAM2pbTXS92nqXYREcmB2Lqz3H2yu5e4ex+igfF57v51YD7w1bDZBODZ8Hx2WCasn+dRbfbZwIVh9lZfoD+wCHgN6B9me3UOrzE7rvcjIiL7a4uLDW8EnjSzHwBLgIdC+0PAL8xsDbCZKCng7svNbAawAtgNfNvd9wCY2TXAXKAAeNjdl+f0nYiIdHDW0W7EVF5e7hUVFW0dhohIophZpbuXN2zXFesiIpIxJREREcmYCjCKtFOqjCu5oCQi0g6pMq7kirqzRNohVcaVXFESEWmHVBlXckVJRKQdUmVcyRUlEZE0zVpSy/Bp8+g76XmGT5vHrCX5W2VHlXElVzSwLpKGpA1U18ek2VkSNyWRdiZp0zqTEm9zA9X5GC+oMq7khpJIGpLyRZe0X8tJilcD1SKN05hIC+q/6Gq3bMf5+IsuH/vDkzatM0nxaqBapHFKIi1I0hdd0n4tJyleDVSLNE5JpAVJ+qJL2q/lJMWrW7iKNE5jIi04priI2kYSRj5+0U0cddw+YwyQ37+WkxavBqpF9qczkRYkqRsjab+WkxaviOxPN6VKQ1JmZ4mIxKWpm1KpOysN6sYQEWlci91ZFrnYzKaE5U+Z2bD4QxMRkXyXzpjIfcApwNfC8vvAT2OLSEREEiOd7qyT3H2ImS0BcPf3zKxzzHGJiEgCpHMmssvMCgAHMLOewEexRiUiIomQThKZDjwDHGlmtwJ/BH4Ya1QiIpIILXZnufsTZlYJjAQMGO/uK2OPTERE8l66U3w3AAvC9kVmNsTdF8cXloiIJEGLScTMvg9cCrxJGBcJ/46ILywREUmCdM5Ezgf6ufuHcQcjIiLJks7AejVQHHcgIiKSPOmcifwIWGJm1cDO+kZ3HxtbVCIikgjpJJHHgNuAZej6EBERSZFOEvnA3afHHomIiCROOklkgZn9CJjNvt1ZmuIrItLBpZNEBod/T05p0xRfERFJ64r103IRiIiIJE869xPpZmZ3mVlFePzYzLrlIjgREclv6Vwn8jDRPUTOD4+twCMt7WRmXc1skZm9bmbLzeyW0P6omb1lZlXhURbazcymm9kaM1tqZkNSjjXBzFaHx4SU9qFmtizsM93MrHVvX0REDkQ6YyL93P3/pSzfYmZVaey3Exjh7tvMrBD4o5n9Nqyb6O4zG2x/JtA/PE4C7gdOMrMjgJuAcqKxmEozm+3u74VtrgQWAi8Ao4HfIiIiOZHOmch2M/ti/YKZDQe2t7STR7aFxcLw8GZ2GQc8HvZ7FSg2s6OBUcCL7r45JI4XgdFh3WHu/qq7O/A4MD6N9yMiIlmSThL5FvBTM1trZmuBnwD/ks7BzawgnLW8Q5QIFoZVt4Yuq7vNrEto6wWsS9m9JrQ1117TSHtjcVxVP6azcePGdEIXEZE0tJhE3L3K3T8PDAIGuftgd389nYO7+x53LwNKgGFmVgpMBo4HTgSOAG7MOPo0ufsD7l7u7uU9e/aM++VERDqMdGZn/dDMit19q7tvNbPDzewHrXkRd98CzAdGu/v60GW1k2iAfljYrBbonbJbSWhrrr2kkXYREcmRdLqzzgxJAIAwLjGmpZ3MrKeZFYfnRcDpwBthLIMwk2o8UZVgiK6IvyTM0joZqHP39cBc4IyQvA4HzgDmhnVbzezkcKxLgGfTe9siIpIN6czOKjCzLuHMoT4hdGlhH4CjgcfMrIAoWc1w9zlmNs/MehLdareKj8dXXiBKTmuAD4DLANx9c7gx1mthu6nuvjk8vxp4FCgimpWlmVkiIjlk0cSmZjYwuxE4h4+vDbkMmO3ut8ccWyzKy8u9oqKircMQEUkUM6t09/KG7emUPbnNzJYCI0PT9919brYDFBGR5EmnOwt3V1eRiIjsJ53ZWeeGciN1ZrbVzN43s625CE5ERPJbOmcitwPnuPvKuIMREZFkSWeK7wYlEBERaUw6ZyIVZvYUMIt972z4dGxRiYhIIqSTRA4jum7jjJQ2B5REREQ6uHSm+F6Wi0BERCR5mkwiZnYvzZRud/drY4lIREQSo7kzEV3WLSIizWoyibj7Y7kMREREkiedKb4iIiKNUhIREZGMKYmIiEjGWpziG+79cSXQJ3V7d/9GfGGJiEgSpHOx4bPAAuD3wJ54wxERkSRJJ4l8wt1vjD0SERFJnHTGROaYWYv3VBcRkY4nnSRyHVEi2a77iYiISKp0amcdmotAREQkedK6Pa6ZHQ70B7rWt7n7K3EFJSIiyZDOFN8riLq0SoAq4GTgz8CIeEMTEZF8l+6YyInA2+5+GjAY2BJrVCIikgjpJJEd7r4DwMy6uPsbwHHxhiUiIkmQzphIjZkVE90e90Uzew94O96wREQkCdKZnfWV8PRmM5sPdAN+F2tUIiKSCM3d2fAwd99qZkekNC8L/x4CbI41MhERyXvNnYn8CjgbqCS6Ta6lrHPgMzHGJSIiCdDcnQ3PDv/2zV04IiKSJM11Zw1pbkd3X5z9cEREJEma6876cfi3K1AOvE7UpTUIqABOiTc0ERHJd01eJ+Lup4WLC9cDQ9y93N2HEl1sWJurAEVEJH+lc7Hhce5ePysLd68GPhdfSCIikhTpXGy41MweBH4Zlr8OLI0vJBERSYp0kshlwLeIamgBvALcH1tEIiKSGC12Z4W6WT8DJrn7V9z97vpaWs0xs65mtsjMXjez5WZ2S2jva2YLzWyNmT1lZp1De5ewvCas75NyrMmhfZWZjUppHx3a1pjZpNa/fRERORAtJhEzG0tUAv53YbnMzGanceydwAh3/zxQBow2s5OB24C73f1Y4D3g8rD95cB7of3usB1mNgC4EBgIjAbuM7MCMysAfgqcCQwAvha2FRGRHElnYP0mYBih/Lu7VwEtXoDokW1hsTA8nOg+JDND+2PA+PB8XFgmrB9pZhban3T3ne7+FrAmxDMMWOPuf3X3D4Enw7YiIpIj6SSRXe5e16DN0zl4OGOoAt4BXgTeBLa4++6wSQ3QKzzvBawDCOvrgO6p7Q32aaq9sTiuMrMKM6vYuHFjOqGLiEga0kkiy83sIqDAzPqb2b3An9I5uLvvcfcyorsiDgOOzzzUzLn7A+E6l/KePXu2RQgiIu1SOknkX4nGI3YCvwa2Ate35kXcfQswn+gq92Izq58VVsLHFy7WAr0BwvpuwKbU9gb7NNUuIiI5ks7srA/c/T/c/cTwa/4/0pyd1TPczAozKwJOB1YSJZOvhs0mAM+G57PDMmH9PHf30H5hmL3VF+gPLAJeA/qH2V6diQbf0xnwFxGRLGmuAGOzX8juPraFYx8NPBZmUR0EzHD3OWa2AnjSzH4ALAEeCts/BPzCzNYQ3avkwvA6y81sBrAC2A182933hBivAeYCBcDD7r68hZhERCSLLPqx38gKs41EA9e/Bhay7/1EcPeXY48uBuXl5V5RUdHWYYiIJIqZVbp7ecP25q5Y/yRRF9TXgIuA54Ff69e+iIjUa66K7x53/527TwBOJro+46XQhSQiItJ87Swz6wKcRXQ20geYDjwTf1giIpIEzQ2sPw6UAi8At4QS8CIiIns1dyZyMfAPouq910YVSIBogN3d/bCYYxMRkTzXZBJx93QuRBQRkQ5MiUJERDKmJCIiIhlTEhERkYwpiYiISMaUREREJGNKIiIikjElERERyZiSiIiIZExJREREMqYkIiIiGVMSERGRjCmJiIhIxpREREQkY0oiIiKSMSURERHJmJKIiIhkTElEREQypiQiIiIZUxIREZGMKYmIiLRnS2fA3aVwc3H079IZWT18p6weTURE8sfSGfDctbBre7Rcty5aBhh0flZeQmciIiLt1R+mfpxA6u3aHrVniZKIiEh7VVfTuvYMKImIiLRX3Upa154BJRERkfZq5BQoLNq3rbAoas8SJRERkfZq0PlwznTo1huw6N9zpmdtUB00O0tEpH0bdH5Wk0ZDOhMREZGMxZZEzKy3mc03sxVmttzMrgvtN5tZrZlVhceYlH0mm9kaM1tlZqNS2keHtjVmNimlva+ZLQztT5lZ57jej4iI7C/OM5HdwHfcfQBwMvBtMxsQ1t3t7mXh8QJAWHchMBAYDdxnZgVmVgD8FDgTGAB8LeU4t4VjHQu8B1we4/sREZEGYksi7r7e3ReH5+8DK4FezewyDnjS3Xe6+1vAGmBYeKxx97+6+4fAk8A4MzNgBDAz7P8YMD6edyMikiLmUiJJkpMxETPrAwwGFoama8xsqZk9bGaHh7ZewLqU3WpCW1Pt3YEt7r67QbuISHzqS4nUrQP841IiHTSRxJ5EzOwQ4DfA9e6+Fbgf6AeUAeuBH+cghqvMrMLMKjZu3Bj3y4lIe5aDUiJJEmsSMbNCogTyhLs/DeDuG9x9j7t/BPycqLsKoBbonbJ7SWhrqn0TUGxmnRq078fdH3D3cncv79mzZ3benIh0TDkoJZIkcc7OMuAhYKW735XSfnTKZl8BqsPz2cCFZtbFzPoC/YFFwGtA/zATqzPR4Ptsd3dgPvDVsP8E4Nm43o+ICJCTUiJJEueZyHDgn4ERDabz3m5my8xsKXAacAOAuy8HZgArgN8B3w5nLLuBa4C5RIPzM8K2ADcC/2Zma4jGSB6K8f2IiOSklEiSWPSDvuMoLy/3ioqKtg5DRJJs6YxoDKSuJjoDGTkl1qvC84GZVbp7ecN2lT0REWmtmEuJJInKnoiISMaUREREJGNKIiIikjElERERyZiSiIiIZExJRETangoaJpam+IpI26ovaFhfj6q+oCFoGm0C6ExERNqWChommpKIiLQtFTRMNCUREWlbKmiYaEoiItK2VNAw0ZRERKRtDTofzpkO3XoDFv17znQNqieEZmeJtFdJqjSrgoaJpSQi0h5p2qzkiLqzRNojTZuVHFESEWmPNG1WckRJJB0qyRAffbbx0LRZyRElkZbU9y3XrQP8475lfdkduKR9tklKeJo2KzmiJNKSpPUtJ+mLLkmfbdISnqbNSo5odlZLktS3nLQZOUn6bJtLePn42YKmzUpO6EykJUnqW07SL3tI1mebpIQnkkNKIi1JUt9y0r7okvTZJinhieSQkkhLktS3nLQvuiR9tklKeCI5ZO7e1jHkVHl5uVdUVLR1GPFoOCYC0Rddvn4xJ02SyoiIZJmZVbp7ecN2Day3J/VfaPqii4cGqkX2oyTS3uiLTkRySGMiIiKSMSURERHJmJKIiIhkTElEREQypiQiIiIZ63DXiZjZRuDtDHbtAbyb5XDilKR4kxQrJCveJMUKyYo3SbHCgcf7aXfv2bCxwyWRTJlZRWMX2uSrJMWbpFghWfEmKVZIVrxJihXii1fdWSIikjElERERyZiSSPoeaOsAWilJ8SYpVkhWvEmKFZIVb5JihZji1ZiIiIhkTGciIiKSMSURERHJWIdNImbW28zmm9kKM1tuZteF9iPM7EUzWx3+PTy0H29mfzaznWb27w2O9bCZvWNm1fkeb1PHydNYu5rZIjN7PRznlmzHms14U45XYGZLzGxOPsdqZmvNbJmZVZlZLDfZyXK8xWY208zeMLOVZnZKPsZqZseFz7T+sdXMrs9mrNmMN6y7IRyj2sx+bWZd0w7E3TvkAzgaGBKeHwr8BRgA3A5MCu2TgNvC8yOBE4FbgX9vcKx/AoYA1fkeb1PHydNYDTgkPC8EFgIn5+tnm3K8fwN+BczJ51iBtUCPuP5mY4j3MeCK8LwzUJyvsaYcswD4O9GFenn52QK9gLeAorA8A7g03Tg67JmIu69398Xh+fvASqIPcxzRHyvh3/Fhm3fc/TVgVyPHegXYnIR4mzlOPsbq7r4tLBaGR9ZngmTzb8HMSoCzgAezHWe2Y82FbMVrZt2Ifqw9FLb70N235GOsDYwE3nT3TKpk5DLeTkCRmXUCPgH8Ld04OmwSSWVmfYDBRL90j3L39WHV34Gj2iisJmUr3gbHicWBxhq6hqqAd4AX3T22WMPr9eHAPtt7gO8CH8URX6osxOrA/5hZpZldFUuQKQ4w3r7ARuCR0FX4oJkdnKexproQ+HVWg2vEgcTr7rXAncD/AeuBOnf/n3Rfu8MnETM7BPgNcL27b01d59G5XV7Ngc5WvM0dJ1uyEau773H3Mm835XoAAAMnSURBVKAEGGZmpXHECgcer5mdDbzj7pVxxZjyWtn4O/iiuw8BzgS+bWb/lP1II1mItxNRl/H97j4Y+AdRV00+xlp/nM7AWOC/sx7kvq9zoH+3hxOdvfQFjgEONrOL0339Dp1EzKyQ6MN/wt2fDs0bzOzosP5ool/AeSFb8TZxnLyMtV7oupgPjM52rCGebMQ7HBhrZmuBJ4ERZvbLPI21/hco7v4O8AwwLNuxZjHeGqAm5Ux0JlFSycdY650JLHb3DdmOs16W4v0y8Ja7b3T3XcDTwBfSjaHDJhEzM6L+1ZXuflfKqtnAhPB8AvBsrmNrTLbibeY4+RhrTzMrDs+LgNOBN/I1Xnef7O4l7t6HqBtjnrun/Ysul7Ga2cFmdmj9c+AMIOuzC7P42f4dWGdmx4WmkcCKfIw1xdeIsSsri/H+H3CymX0iHHMk0fhKehqOtHeUB/BFotO8pUBVeIwBugN/AFYDvweOCNt/kujX0FZgS3h+WFj3a6K+xF2h/fJ8jbep4+RprIOAJeE41cCUfP9bSDnmqcQzOytbn+1ngNfDYznwH/n+2QJlQEU41izg8DyO9WBgE9Atjs81hnhvIfqBVg38AuiSbhwqeyIiIhnrsN1ZIiJy4JREREQkY0oiIiKSMSURERHJmJKIiIhkTElEJEYWVZ69Ojw/xsxmtnVMItmkKb4iMQo1jea4e2zlWkTaUqe2DkCknZsG9AtFJFcDn3P3UjO7lKi66sFAf6ICeJ2BfwZ2El0AutnM+gE/BXoCHwBXunvWr9oXyZS6s0TiNYmoFHgZMLHBulLgXD6+x8MHHhUX/DNwSdjmAeBf3X0o8O/AfTmJWiRNOhMRaTvzPboPxPtmVgc8F9qXAYNCddYvAP8dlTQCoEvuwxRpmpKISNvZmfL8o5Tlj4j+bx4EbAlnMSJ5Sd1ZIvF6n+jWpa3m0b0h3jKz8yCq2mpmn89mcCIHSklEJEbuvgn4XzOrBu7I4BBfBy43s/pqu+OyGZ/IgdIUXxERyZjOREREJGNKIiIikjElERERyZiSiIiIZExJREREMqYkIiIiGVMSERGRjP1/J1xQAtk4wjkAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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dcidnamestate
0geoId/06085Santa Clara CountyCalifornia
1geoId/06001Alameda CountyCalifornia
2geoId/06041Marin CountyCalifornia
3geoId/06087Santa Cruz CountyCalifornia
4geoId/06029Kern CountyCalifornia
5geoId/06089Shasta CountyCalifornia
6geoId/06093Siskiyou CountyCalifornia
7geoId/06081San Mateo CountyCalifornia
8geoId/06035Lassen CountyCalifornia
9geoId/06047Merced CountyCalifornia
10geoId/06075San Francisco CountyCalifornia
\n", - "
" - ], - "text/plain": [ - " dcid name state\n", - "0 geoId/06085 Santa Clara County California\n", - "1 geoId/06001 Alameda County California\n", - "2 geoId/06041 Marin County California\n", - "3 geoId/06087 Santa Cruz County California\n", - "4 geoId/06029 Kern County California\n", - "5 geoId/06089 Shasta County California\n", - "6 geoId/06093 Siskiyou County California\n", - "7 geoId/06081 San Mateo County California\n", - "8 geoId/06035 Lassen County California\n", - "9 geoId/06047 Merced County California\n", - "10 geoId/06075 San Francisco County California" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 20 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "mtPQTC65gWS1" - }, - "source": [ - "## Change it to mse and rerun everything\n", - "Now every corresponding observations are much more closer" - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "9IrbKD0OgWS2", - "outputId": "a1242d42-71ae-4f6d-9fec-56c1f6e7f1ab" - }, - "source": [ - "time_series_similarity_types = ['mse']\n", - "df = retrieve_compute_visualize(query_dcid, places, statvars, statvar_display_names, per_capita, time_series, time_series_similarity_types, similar, K)\n", - "df.head(K + 1)" - ], - "execution_count": 21, - "outputs": [ - { - "output_type": "stream", - "text": [ - "processing Median_Income_Person data\n", - "max non-infinite distance: 528404967.875\n", - "min distance: 0.0\n", - "===================================Plotting Median Income time series===================================\n" - ], - "name": "stdout" - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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/z6233sqOHTs45phjanwyYWPxgx/8gBdffJEXXtD0aCKNlYpIMzF8+HCGDx/e0GnUyT333NPQKYhILdQnEjS3Zj2pmv4diNSNigiQk5PD2rVr9QukmXN31q5dS05OTkOnIhIbas4C8vPzKS8vZ82aNQ2dijSwnJwc8vNTv+dHpLlREQGys7Pp0KFDQ6chIhI7as4SEZGUqYiIiEjKVERERCRlGS8iZpZlZvPMbGpYftzMlpjZQjMbb2bZIW5mNs7MlpvZfDPrmXCMEWa2LLxGJMR7mdmCsM84M7NMfx4REflCfVyJXAO8k7D8OHA80A3IBUaG+NlA5/C6HLgPwMwOBW4ETgZ6Azea2SFhn/uAUQn7DcjkBxERkd1ltIiYWT5wDvBgRczdX/AAmA1UjKccDEwIq94C8szsKKA/8JK7r3P3T4CXgAFhXSt3fyscawIwJJOfR0REdpfpK5G7geuAXXuuCM1Y3wL+FkLtgMQHdZSHWE3x8iriezGzy82sxMxKdC+IiEj6ZKyImNm5wMfuXlrNJvcCr7n7zEzlUMHd73f3Yncvbtu2baZPJyLSbGTyZsPTgEFmNhDIAVqZ2Z/c/WIzuxFoC3w3YfuVQPuE5fwQWwn02SM+I8Tzq9heRCSjnpm3kjumLeGj9Vs4Oi+X0f2PY0iPKhtCmryMXYm4+xh3z3f3AuAC4NVQQEYS9XNc6O6JzVxTgEvCKK1TgA3uvgqYBpxlZoeEDvWzgGlh3UYzOyWMyroEeDZTn0dEBKICMubpBaxcvwUHVq7fwpinF/DMvOb5N2xD3CfyB+AI4E0zKzOziufKvgD8E1gOPABcAeDu64BfAHPCa2yIEbZ5MOzzHvBifX0IEWme7pi2hC3bd+4W27J9J3dMW9JAGTWsepk7y91nEDVB4e5VnjOMsLqymnXjgfFVxEuAwnTlKSJSm4/Wb6lTvKnTHesiInVwdF5uneJNnYqIiEgdjO5/HLnZWbvFcrOzGN3/uAbKqGFpKngRkTqoGIWl0VkRFRERkToa0qNdsy0ae1JzloiIpExFREREUqYiIiIiKVMRERGRlKmIiIhIylREREQkZSoiIiKSMhURERFJmYqIiIikTEVERERSpiIiIiIp09xZItLg9LjZ+FIREZEGVfG42YqnBVY8bhZQIYkBNWeJSIPS42bjTUVERBqUHjcbbyoiItKg9LjZeFMREZEGpcfNxlutRcQiF5vZDWH5S2bWO9kTmFmWmc0zs6lhuYOZzTKz5Wb2pJntH+Itw/LysL4g4RhjQnyJmfVPiA8IseVmdn3yH1tEGoshPdpx69ButMvLxYB2ebncOrSbOtVjIpnRWfcCu4C+wFjgU+Ap4KQkz3EN8A7QKiz/GrjL3Z8wsz8A3wHuCz8/cfdOZnZB2G64mXUBLgC6AkcDL5vZseFYvwfOBMqBOWY2xd0XJ5mXiDQSetxsfCXTnHWyu18JbAVw90+A/ZM5uJnlA+cAD4ZlIypGk8ImjwJDwvvBYZmwvl/YfjDwhLtvc/f3geVA7/Ba7u7/dPfPgSfCtiIiUk+SKSLbzSwLcAAza0t0ZZKMu4HrErY/DFjv7jvCcjlQ8edHO+BDgLB+Q9i+Mr7HPtXF92Jml5tZiZmVrFmzJsnURUSkNskUkXHAZOBwM7sFeB34VW07mdm5wMfuXrpvKe47d7/f3Yvdvbht27YNnY6ISJNRa5+Iuz9uZqVAP8CAIe7+ThLHPg0YZGYDgRyiPpHfAnlm1iJcbeQDK8P2K4H2QLmZtQBaA2sT4hUS96kuLiIi9SDZIb6rgZnAG0CumfWsbQd3H+Pu+e5eQNQx/qq7fxOYDnw9bDYCeDa8nxKWCetfdXcP8QvC6K0OQGdgNjAH6BxGe+0fzjElyc8jIiJpUOuViJn9ArgUeI/QLxJ+9k3xnD8BnjCzXwLzgIdC/CHgMTNbDqwjKgq4+yIzmwgsBnYAV7r7zpDbVcA0IAsY7+6LUsxJRERSYNEf+zVsYLYE6BZGQMVecXGxl5SUNHQaIiKxYWal7l5c1bpkmrMWAnnpTUlERJqCZG42vBWYZ2YLgW0VQXcflLGsREQkFpIpIo8S3T2+gOTvDxERkWYgmSKy2d3HZTwTERGJnWSKyEwzu5Vo+Gxic9bcjGUlIiKxkEwR6RF+npIQ25chviIi0kQkc8f6GfWRiIiIxE8yzxNpbWZ3VkxgaGb/a2at6yM5ERFp3JJpzhpPdK/IsLD8LeBhYGimkhKRfffMvJXcMW0JH63fwtF5uYzuf5ye2SFpl0wR6eju/ydh+WYzK8tUQiKy756Zt5IxTy9gy/adAKxcv4UxTy8AUCGRtErmjvUtZvaVigUzOw3YkrmURGRf3TFtSWUBqbBl+07umLakgTKSpiqZK5HvA48m9IN8QjQho4g0Uh+tr/rvvOriIqlKZnRWGXCimbUKyxsznpWI7JOj83JZWUXBODovtwGykaYsmdFZvzKzPHff6O4bzeyQMI27iDRSo/sfR2521m6x3OwsRvc/roEykqYqmT6Rs919fcWCu38CDMxcSiKyr4b0aMetQ7vRLi8XA9rl5XLr0G7qVJe0S6ZPJMvMWrr7NgAzywVaZjYtEdlXQ3q0U9GQjEumiDwOvGJmD4fly4hm9hURkWYumY71X5vZfKBfCP3C3adlNi2Rxkc374nsLZkrEdz9ReDFDOci0mjp5j2RqiUzOmuomS0zsw1mttHMPjUzDfOVZkU374lULZnRWbcDg9y9tbu3cveD3b1VbTuZWY6ZzTazt81skZndHOL9zGyumZWZ2etm1inEW5rZk2a23MxmmVlBwrHGhPgSM+ufEB8QYsvN7Pq6fniRZOnmPZGqJdOctdrd30nh2NuAvu6+ycyygdfN7EXgPmCwu79jZlcA/5foDvjvAJ+4eyczu4DokbzDzawLcAHQFTgaeNnMjg3n+D1wJlAOzDGzKe6+OIVcm4y4tdvHJV/dvCdStWSKSImZPQk8w+5PNny6pp3c3YFNYTE7vDy8Kq5kWgMfhfeDgZvC+0nA78zMQvyJMMT4fTNbDvQO2y13938CmNkTYdu0F5G4/KKLW7t9nPId3f+43XIF3bwnAsk1Z7UCNgNnAeeF17nJHNzMssKMvx8DL7n7LGAk8IKZlRNNK39b2Lwd8CGAu+8ANgCHJcaD8hCrLl5VHpdXPA9lzZo1yaReqeIX3cr1W3C++EX3zLyVdTpOfYhbu32c8tXNeyJVS2aI72WpHtzddwJFZpYHTDazQuBaYKC7zzKz0cCdRIUlY9z9fuB+gOLiYq/LvjX9omtsv0Di1m4ft3x1857I3qotImZ2D1HTU5Xc/epkT+Lu681sOnA2cGK4IgF4EvhbeL8SaA+Um1kLoqautQnxCvkhRg3xtInTL7q4tdvHLV8R2VtNzVklQGkNrxqZWdtwBVIxVcqZwDtA64SO8YoYwBRgRHj/deDV0K8yBbggjN7qAHQGZgNzgM5m1sHM9ifqfJ+S1Keug+p+oTXGX3Rxm3QvbvmKyN6qvRJx932d2uQooueQZBEVq4nuPtXMRgFPmdkuomeTfDts/xDwWOg4X0dUFHD3RWY2kajDfAdwZWgmw8yuAqYBWcB4d1+0jznvJU4dqhVNLXEYBADxy1dE9mbRH/vNR3FxsZeUlNRpn7iMzhIRyQQzK3X34qrWJTXtSXOnDlURkaolM8RXRESkSrVeiZhZW2AUUJC4vbt/u7p9RESkeUimOetZYCbwMrCzlm1FRKQZSaaIHODuP8l4JiIiEjvJ9IlMNTM9U11ERPaSTBG5hqiQbNHzREREJFEyc2cdXB+JiIhI/CR1n4iZHUI03UhORczdX8tUUiIiEg/JDPEdSdSklQ+UAacAbwJ9M5uaiIg0dsn2iZwEfODuZwA9gPUZzUpERGIhmSKy1d23QvQcdHd/F2h8sw+KiEi9S6ZPpDxM6f4M8JKZfQJ8kNm0REQkDpIZnXV+eHtTeLBUa754kJSIiDRjNT3ZsJW7bzSzQxPCC8LPg4ie+SEiIs1YTVcifwbOJXqKoQOWsM6B/8pgXiIiEgM1Pdnw3PCzQ/2lIyIicVJTc1bPmnZ097npT0dEROKkpuas/w0/c4Bi4G2iJq3uQAlwamZTExGRxq7a+0Tc/Yxwc+EqoKe7F7t7L6KbDVfWV4IiItJ4JXOz4XHuXjEqC3dfCJxQ205mlmNms83sbTNbZGY3h7iZ2S1mttTM3jGzqxPi48xsuZnNT2xOM7MRZrYsvEYkxHuZ2YKwzzgzs70zERGRTEnmZsP5ZvYg8Kew/E1gfhL7bQP6uvsmM8sGXjezF4kKUHvgeHffZWaHh+3PJprksTNwMnAfcHIYYnwjUZOaA6VmNsXdPwnbjAJmAS8AA4AXk8hNRETSIJkrkcuARURzaF0DLA6xGnlkU1jMDi8Hvg+MdfddYbuPwzaDgQlhv7eAPDM7CugPvOTu60LheAkYENa1cve33N2BCcCQpD61iIikRTJ3rG81sz8AL7j7kroc3MyyiO4z6QT83t1nmVlHYLiZnQ+sAa5292VAO+DDhN3LQ6ymeHkV8aryuBy4HOBLX/pSXT6CiIjUoNYrETMbRDQF/N/CcpGZTUnm4O6+092LiKaR721mhUBLokkdi4EHgPGpJp8sd78/DAwobtu2baZPJyLSbCTTnHUj0Jsw/bu7lwF1ugHR3dcD04n6LMqBp8OqyURDhiEa8dU+Ybf8EKspnl9FXERE6kkyRWS7u2/YI+a17WRmbcPsv5hZLnAm8C7RbMBnhM2+CiwN76cAl4RRWqcAG9x9FTANOMvMDglPWDwLmBbWbTSzU8KorEuAZ5P4PCIikibJjM5aZGYXAVlm1hm4Gngjif2OAh4N/SL7ARPdfaqZvQ48bmbXApuAkWH7F4CBwHJgM6Hz3t3XmdkvgDlhu7HuXjH54xXAI0Au0agsjcwSEalHFg1sqmEDswOAnxFdARjRlcEvKh5UFTfFxcVeUlLS0GmIiMSGmZWGfuy9JDM6azNREflZuhMTEZF4q2kCxhpHYLn7oPSnIyIicVLTlcipRPdn/IXojnBNKSIiIrupqYgcSTSi6kLgIuB54C/uvqg+EhMRkcavpll8d7r739x9BHAK0aipGWZ2Vb1lJyIijVqNHetm1hI4h+hqpAAYR3SDoIiISI0d6xOAQqL7N24OU8CLiIhUqulK5GLgM6KZe69OeFSHEU3S2yrDuYmISCNXbRFx92SmRBERkWZMhUJERFKmIiIiIilTERERkZSpiIiISMpUREREJGUqIiIikjIVERERSZmKiIiIpExFREREUqYiIiLSlM2fCHcVwk150c/5E9N6+FofjysiIjE1fyI8dzVs3xItb/gwWgboPiwtp9CViIhIU/XK2C8KSIXtW6J4mmSsiJhZjpnNNrO3zWyRmd28x/pxZrYpYbmlmT1pZsvNbJaZFSSsGxPiS8ysf0J8QIgtN7PrM/VZRERiaUN53eIpyOSVyDagr7ufCBQBA8zsFAAzKwYO2WP77wCfuHsn4C7g12HbLsAFQFdgAHCvmWWZWRbwe+BsoAtwYdhWREQAWufXLZ6CjBURj1RcaWSHl4df/ncA1+2xy2Dg0fB+EtDPooeYDAaecPdt7v4+0WN6e4fXcnf/p7t/DjwRthUREYB+N0B27u6x7NwoniYZ7RMJVwxlwMfAS+4+C7gKmOLuq/bYvB3wIYC77wA2AIclxoPyEKsuXlUel5tZiZmVrFmzZt8/mIhIHHQfBueNg9btAYt+njcubZ3qkOHRWe6+Eygyszxgspn9N/ANoE8mz1tFHvcD9wMUFxd7fZ5bRKRBdR+W1qKxp3oZneXu64HpwBlAJ2C5ma0ADjCz5WGzlUB7ADNrAbQG1ibGg/wQqy4uIiL1JJOjs9qGKxDMLBc4Eyh19yPdvcDdC4DNoSMdYAowIrz/OvCqu3uIXxBGb3UAOgOzgTlAZzPrYGb7E3W+T8nU5xERkb1lsjnrKODR0JG+HzDR3afWsP1DwGPhymQdUVHA3ReZ2URgMbADuDI0k2FmVwHTgCxgvLsvytinERGRvVj0x37zUVxc7CUlJQ2dhohIbJhZqbsXV7VOd6yLiEjKVERERCRlKiIiIqKZLvkAAAnGSURBVJIyFREREUmZioiIiKRMRURERFKmIiIiIilTERERkZSpiIiISMpUREREJGUqIiIikjIVERERSZmKiIiIpExFREREUqYiIiIiKVMRERGRlKmIiIhIylRERETqav5EuKsQbsqLfs6f2NAZNZhMPmNdRKTpmT8Rnrsatm+Jljd8GC0DdB/WcHk1EF2JiIjUxStjvyggFbZvieLNUMaKiJnlmNlsM3vbzBaZ2c0h/riZLTGzhWY23syyQ9zMbJyZLTez+WbWM+FYI8xsWXiNSIj3MrMFYZ9xZmaZ+jwiIgBsKK9bvInL5JXINqCvu58IFAEDzOwU4HHgeKAbkAuMDNufDXQOr8uB+wDM7FDgRuBkoDdwo5kdEva5DxiVsN+ADH4eERFonV+3eBOXsSLikU1hMTu83N1fCOscmA1UfPODgQlh1VtAnpkdBfQHXnL3de7+CfASUUE6Cmjl7m+FY00AhmTq84iIANDvBsjO3T2WnRvFm6GM9omYWZaZlQEfExWCWQnrsoFvAX8LoXbAhwm7l4dYTfHyKuJV5XG5mZWYWcmaNWv27UOJSPPWfRicNw5atwcs+nneuGbZqQ4ZHp3l7juBIjPLAyabWaG7Lwyr7wVec/eZmcwh5HE/cD9AcXGxZ/p8ItLEdR/WbIvGnupldJa7rwemE/oszOxGoC3wPwmbrQTaJyznh1hN8fwq4umnMeEiIlXK5OistuEKBDPLBc4E3jWzkUT9HBe6+66EXaYAl4RRWqcAG9x9FTANOMvMDgkd6mcB08K6jWZ2ShiVdQnwbNo/SMWY8A0fAv7FmHAVEhGRjDZnHQU8amZZRMVqortPNbMdwAfAm2FE7tPuPhZ4ARgILAc2A5cBuPs6M/sFMCccd6y7rwvvrwAeIRrl9WJ4pVdNY8J1OSsizVzGioi7zwd6VBGv8pxhhNWV1awbD4yvIl4CFO5bprXQmHARkWrpjvXaaEy4SOap3zG2VERqozHhIpmlfsdYUxGpjcaEi2SW5qKKNc3im4w4jQmfPzH6z7ehPGpy63dDfHKX5kn9jrGmK5GmRM0CEkfqd4w1FZGmRM0CmaXO38xQv2OsqYg0JXFsFojLL+Y4XuXF5btVv2OsqU+kKWmdH37JVRFvjOL0hLi43XQap+8W4tXvKLvRlUhTErdmgTg1v8XtKi9O363EmopIUxK3ZoE4/WKOW+dvnL5biTU1ZzU1cWoWiFPzW78bdm8egsZ9lRen71ZiTVci0nDi1PwWt6u8OH23Emu6EpGGU/ELOC43R8bpKi9u363ElkWT5zYfxcXFXlJS0tBpiIjEhpmVuntxVevUnCUiIilTERERkZSpiIiISMpUREREJGUqIiIikrJmNzrLzNYAH6SwaxvgP2lOJ5PilG+ccoV45RunXCFe+cYpV9i3fI9x97ZVrWh2RSRVZlZS3RC3xihO+cYpV4hXvnHKFeKVb5xyhczlq+YsERFJmYqIiIikTEUkefc3dAJ1FKd845QrxCvfOOUK8co3TrlChvJVn4iIiKRMVyIiIpIyFREREUlZsy0iZtbezKab2WIzW2Rm14T4oWb2kpktCz8PCfHjzexNM9tmZj/e41jjzexjM1vY2POt7jiNNNccM5ttZm+H49yc7lzTmW/C8bLMbJ6ZTW3MuZrZCjNbYGZlZpaRqa3TnG+emU0ys3fN7B0zO7Ux5mpmx4XvtOK10cx+mM5c05lvWHdtOMZCM/uLmeUknYi7N8sXcBTQM7w/GFgKdAFuB64P8euBX4f3hwMnAbcAP97jWP8N9AQWNvZ8qztOI83VgIPC+2xgFnBKY/1uE473P8CfgamNOVdgBdAmU/9mM5Dvo8DI8H5/IK+x5ppwzCzg30Q36zXK7xZoB7wP5IblicClyebRbK9E3H2Vu88N7z8F3iH6MgcT/WMl/BwStvnY3ecA26s41mvAujjkW8NxGmOu7u6bwmJ2eKV9JEg6/y2YWT5wDvBguvNMd671IV35mllroj/WHgrbfe7u6xtjrnvoB7zn7qnMklGf+bYAcs2sBXAA8FGyeTTbIpLIzAqAHkR/6R7h7qvCqn8DRzRQWtVKV757HCcj9jXX0DRUBnwMvOTuGcs1nK+Afftu7wauA3ZlIr9EacjVgb+bWamZXZ6RJBPsY74dgDXAw6Gp8EEzO7CR5proAuAvaU2uCvuSr7uvBH4D/AtYBWxw978ne+5mX0TM7CDgKeCH7r4xcZ1H13aNagx0uvKt6Tjpko5c3X2nuxcB+UBvMyvMRK6w7/ma2bnAx+5emqkcE86Vjn8HX3H3nsDZwJVm9t/pzzSShnxbEDUZ3+fuPYDPiJpqGmOuFcfZHxgE/DXtSe5+nn39d3sI0dVLB+Bo4EAzuzjZ8zfrImJm2URf/uPu/nQIrzazo8L6o4j+Am4U0pVvNcdplLlWCE0X04EB6c415JOOfE8DBpnZCuAJoK+Z/amR5lrxFyju/jEwGeid7lzTmG85UJ5wJTqJqKg0xlwrnA3MdffV6c6zQpry/RrwvruvcfftwNPAl5PNodkWETMzovbVd9z9zoRVU4AR4f0I4Nn6zq0q6cq3huM0xlzbmlleeJ8LnAm821jzdfcx7p7v7gVEzRivunvSf9HVZ65mdqCZHVzxHjgLSPvowjR+t/8GPjSz40KoH7C4Meaa4EIy2JSVxnz/BZxiZgeEY/Yj6l9Jzp497c3lBXyF6DJvPlAWXgOBw4BXgGXAy8ChYfsjif4a2gisD+9bhXV/IWpL3B7i32ms+VZ3nEaaa3dgXjjOQuCGxv5vIeGYfcjM6Kx0fbf/BbwdXouAnzX27xYoAkrCsZ4BDmnEuR4IrAVaZ+J7zUC+NxP9gbYQeAxomWwemvZERERS1mybs0REZN+piIiISMpUREREJGUqIiIikjIVERERSZmKiEgGWTTz7BXh/dFmNqmhcxJJJw3xFcmgMKfRVHfP2HQtIg2pRUMnINLE3QZ0DJNILgNOcPdCM7uUaHbVA4HORBPg7Q98C9hGdAPoOjPrCPweaAtsBka5e9rv2hdJlZqzRDLreqKpwIuA0XusKwSG8sUzHjZ7NLngm8AlYZv7gR+4ey/gx8C99ZK1SJJ0JSLScKZ79ByIT81sA/BciC8AuofZWb8M/DWa0giAlvWfpkj1VEREGs62hPe7EpZ3Ef3f3A9YH65iRBolNWeJZNanRI8urTOPng3xvpl9A6JZW83sxHQmJ7KvVEREMsjd1wL/z8wWAnekcIhvAt8xs4rZdgenMz+RfaUhviIikjJdiYiISMpUREREJGUqIiIikjIVERERSZmKiIiIpExFREREUqYiIiIiKfv/V2OgkiB4WiYAAAAASUVORK5CYII=\n", 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\n", 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10geoId/06017El Dorado CountyCalifornia
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" - ], - "text/plain": [ - " dcid name state\n", - "0 geoId/06085 Santa Clara County California\n", - "1 geoId/06081 San Mateo County California\n", - "2 geoId/06075 San Francisco County California\n", - "3 geoId/06013 Contra Costa County California\n", - "4 geoId/06061 Placer County California\n", - "5 geoId/06001 Alameda County California\n", - "6 geoId/06041 Marin County California\n", - "7 geoId/06055 Napa County California\n", - "8 geoId/06059 Orange County California\n", - "9 geoId/06095 Solano County California\n", - "10 geoId/06017 El Dorado County California" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 21 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "2WhyKV2LgWS5" - }, - "source": [ - "## We can even look at both metrics at the same time\n", - "In this case, for each metric, the algorithm considers it indepedently and assign ranks to every places based on the comuputed similarity. The rank is then aggregated to produce the final retrieval results.\n", - "\n", - "You will see two identical sets of figures. This is due to the fact that our algorithm actually treats the two metrics as two different statistical variables, and it will plot for the retrieval results for each statistical variables indepdently. This is helpful when we are looking at multiple statistical variables. " - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "9FFdhx5HgWS6", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "557c81d4-3b6e-4453-b49a-10740dd0d8f8" - }, - "source": [ - "statvars = ['Median_Income_Person', 'Median_Income_Person']\n", - "per_capita = [False, False]\n", - "time_series = [True, True]\n", - "time_series_similarity_types = ['mse', 'pearson']\n", - "statvar_display_names = ['Median Income Pearson', 'Median Income MSE']\n", - "df = retrieve_compute_visualize(query_dcid, places, statvars, statvar_display_names, per_capita, time_series, time_series_similarity_types, similar, K)\n", - "df.head(K + 1)" - ], - "execution_count": 22, - "outputs": [ - { - "output_type": "stream", - "text": [ - "processing Median_Income_Person data\n", - "max non-infinite distance: 528404967.875\n", - "min distance: 0.0\n", - "processing Median_Income_Person data\n", - "max non-infinite distance: 1.3087396586209936\n", - "min distance: 0.0\n", - "===================================Plotting Median Income Pearson time series===================================\n" - ], - "name": "stdout" - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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QmS01s1Ize9fMzgjxVmY23czWm9kiM+sUc4yJIb7WzAbHxIeE2Hozm5DqzyIiIgdLx5XI7cCamPUngGvdvTfwAvCvIX4j8Km7nwE8CvwEwMy6AaOB7sAQ4PFQmHKAXwCXAd2Aa8K+IiKSJiktImZWAFwOPB0TdqBNWG4LbArLI4Bnw/JMYJCZWYhPc/fP3f1DYD3QP7zWu/uf3f0LYFrYV0RE0iTV84k8BtwFHBcTuwl4zcwqgF3AOSHeEdgI4O77zGwncGKIvxfz/rIQo2r/mPiAZH8AERGpW8quRMxsGLDV3UsO2XQHMNTdC4BfAY+kKoeYXMaZWbGZFWv2QhGR5Ellc9b5wHAz20DU1HSxmb0K9HL3RWGf6cB5YbkcOBXAzFoSNXVtj40HBSFWV7wGd3/S3Yvcvahdu3ZJ+Ggi0qwtnwGPFsJ9+dHP5TMaO6NGk7Ii4u4T3b3A3TsRdYzPJ+qzaGtmZ4bdLuHLTvc5wJiw/G1gvrt7iI8Od291BroAi4ElQBcz62xmR4VzzEnV5xERAaKC8cp42LkR8OjnK+ObbSFJ6xzroa/jZuC3ZnYA+BS4IWz+JfBrM1sPfEJUFHD3VWY2A1gN7ANudff9AGZ2GzAPyAGmuvuqdH4eEWmG3pwElRUHxyoronjPUY2TUyOy6I/95qOoqMiLi4sbOw0RyVb35RPdZHoog/t2pDubtDCzEncvqm1bnc1ZZvZYzPLth2x7JmnZiYhkk7YFDYs3cfX1iXwjZnnMIdt6piAXEZHMN+geyM07OJabF8WbofqKiNWxLCLSfPUcBVdMgbanAhb9vGJKs+wPgfo71luY2fFEhaZquaqY5KQ8MxGRTNVzVLMtGoeqr4i0BUr4snAsjdnWvHrjRUSkVnUWkfB8h4iISJ3quzvrq2bWNmb9IjP7DzO7IzzcJyIizVx9HeszgGMAzKw38BvgL0Bv4PHUpyYiIpmuvj6RPHevGqb9OqInwv/dzFoApalPTUREMl28t/heDLwJ4O4HUpqRiIhkjfquROaHMas2A8cTDaCImZ0CfJGG3EREJMPVV0S+B1wNnAJc4O6VIf4V4IepTkxERDJffbf4OtE8IIfGl6U0IxERyRp1FhEz+4yDHyq0sG5ENaZNrW8UEZFmo77mrDeJmq5eAqa5+1/Sk5KIiGSLOu/OcveRwGBgG/CUmb1tZreY2Qlpy05ERDJavdPjuvtOd/8VcBnwf4FJwNg05CUiIlmg3ulxzew84BrgQuBd4FvuvjAdiYmISOarr2N9A7CD6A6tcUTzm2NmfQHcfWld7xURkeahviuRDUR3Yw0GLuXgJ9id6Cl2ERFpxup7TmRgGvMQEZEsVG/HuoiISH1SXkTMLMfMlpnZ3LBuZvagmX1gZmvMbHxMfIqZrTez5VV9L2HbGDNbF15jYuL9zGxFeM8UM9Nc8CIiaVTv3VlJcjuwBqh6wn0scCpwlrsfMLOTQ/wyoEt4DQCeAAaE51LuBYqI+mJKzGyOu38a9rkZWAS8BgwBXk/DZxIREeK4EglXCNeZ2T1h/TQz6x/Pwc2sALgceDom/I/ApKoh5d19a4iPAJ7zyHtAfhgxeDDwhrt/EgrHG8CQsK2Nu78Xxvl6DhgZT14ikmGWz4BHC+G+/Ojn8hmNnZHEKZ7mrMeBc4meFwH4DPhFnMd/DLgLiJ2D5HTgajMrNrPXzaxLiHcENsbsVxZi9cXLaonXYGbjwvmKt23bFmfqIpIWy2fAK+Nh50bAo5+vjFchyRLxFJEB7n4rsBcgXA0cdo51MxsGbHX3kkM2tQL2unsR8BQwtWEpN5y7P+nuRe5e1K5du1SfTkQa4s1JUFlxcKyyIopLxouniFSaWQ5hRF8za8fBVxZ1OR8YHh5anAZcbGb/TXTF8FLYZxbQMyyXE/WVVCkIsfriBbXERSSb7CxrWFwySjxFZArRf/Ynm9mDRMOf/Nvh3uTuE929wN07AaOB+e5+HTAbuCjs9k3gg7A8B7g+9MGcA+x0983APOBSMzvezI4nevBxXti2y8zOCXdlXQ+8HN/HFpGM0bagYXHJKIe9O8vdnzezEmAQ0VPrI919zRGcczLwvJndAewGbgrx14ChwHpgD/DdcP5PzOzHwJKw3yR3/yQs3wI8A+QR3ZWlO7NEss2ge6I+kNgmrdy8KC4Zz6Ibmw6zU3QFcCoxRSdbx84qKiry4uLixk5DRGItnxH1gewsi65ABt0DPUc1dlYSmFlJ6Meu4bBXIuEqYCzwJ76c6VBjZ4lI8vQcpaKRpeJ52HAUcLq7f5HqZEREJLvE07G+EshPdSIiIpJ94rkSeQhYZmYrgc+rgu4+PGVZiYhIVoiniDwL/ARYQXzPh4iISDMRTxHZ4+5TUp6JiIhknXiKyEIze4joYcDY5qysvMVXRESSJ54i0if8PCcmplt8RUQkrifWLzrcPiIi0jzFM59IWzN7pGoodTP7dzNrm47kREQks8XznMhUojlERoXXLuBXqUxKRESyQzx9Iqe7+/+JWb/fzEpTlZCIiGSPeK5EKszsgqoVMzsfqKhnfxERaSbiuRL5R+DZmH6QT4kGZBQRkWYunruzSoFeZtYmrO9KeVYiIpIUs5eV8/C8tWzaUUGH/DzuHNyVkX06Ju348dyd9W9mlu/uu9x9V5hh8IGkZSAiIikxe1k5E19aQfmOChwo31HBxJdWMHtZ8mYSj6dP5DJ331G14u6fEs1AKCIiGezheWupqNx/UKyicj8Pz1ubtHPEU0RyzKxV1YqZ5QGt6tlfREQywKYdtd8DVVc8EfF0rD8PvGlmVc+GfJdoZF8REclgHfLzKK+lYHTIz0vaOQ57JeLuPwEeBL4eXj92958mLQMREUmJOwd3JS8356BYXm4Odw7umrRzxHMlgru/DryetLOKiEjKVd2Flcq7sw5bRMzsSqJJqU4GLLzc3dvEcwIzywGKgXJ3HxYTnwLc4O7HhvVWwHNAP2A7cLW7bwjbJgI3AvuB8e4+L8SHAP8B5ABPu/vkeHISEWkuRvbpmNSicah4OtZ/Cgx397bu3sbdj4u3gAS3A2tiA2ZWBBx/yH43Ap+6+xnAo0SFCzPrBowGugNDgMfNLCcUp18AlwHdgGvCviIikibxFJEt7r7m8LvVZGYFwOXA0zGxHOBh4K5Ddh/Blx32M4FBZmYhPs3dP3f3D4H1QP/wWu/uf3b3L4BpYV8REUmTePpEis1sOjCbg2c2fCmO9z5GVCyOi4ndBsxx981RjajWEdgYjr3PzHYCJ4b4ezH7lYUYVfvHxAfUloSZjQPGAZx22mlxpC0iIvGIp4i0AfYAl8bEHKi3iJjZMGCru5eY2cAQ6wBcBQxMJNlEufuTwJMARUVFns5zi4g0ZfGMnfXdBI99PjDczIYCrYmK0Sqiq5n14SrkaDNbH/pByoFTgTIzawm0Jepgr4pXKQgx6omLiEga1FlEzOznRFcctXL38fUd2N0nAhPDsQYC34+9OyvEd4cCAjAHGAP8Afg2MN/d3czmAC+Y2SNAB6ALsJjoLrEuZtaZqHiMBr5TX04iIpJc9V2JFKcti8gvgV+b2XrgE6KigLuvMrMZwGpgH3Cru+8HMLPbgHlEt/hOdfdVac5ZJHMtnwFvToKdZdC2AAbdAz1HNXZW0sSYe/PqIigqKvLi4nTXR5E0Wz4DXhkPlTFDXuTmwRVTVEikwcysxN2LatsWzy2+IpJt3px0cAGBaP3NSY2TjzRZKiIiTdHOsobFRRKkIiLSFLUtaFhcJEHxjJ3VDrgZ6BS7v7vfkLq0ROSIDLqn9j6RQfc0Xk7SJMXzsOHLwELgd0QDIIpIpqvqPNfdWZJi8RSRo9397pRnIiLJ1XOUioakXDx9InPDU+ciIiIHiaeI3E5USCrMbJeZfWZmu1KdmIiIZL54xs467nD7SAbRU8oikkZxTY9rZscTjVnVuirm7u+kKilJ0KFPKe/cGK2DComIpMRhm7PM7CbgHaIxqu4PP+9LbVqSED2lLCJpFm+fyNnAR+5+EdAH2JHSrCQxekpZRNIsniKy1933AphZK3f/I9A1tWllmOUz4NFCuC8/+rl8RmNnVDs9pSwiaRZPESkzs3yi6XHfMLOXgY9Sm1YGqepn2LkR8C/7GTKxkAy6J3oqOZaeUhaRFIrn7qxvhcX7zGwB0YyD/5PSrDJJff0MmdZZraeURSTN6pvZsI277zKzE2LCK8LPY4kmjmr6sq2fQU8pi0ga1Xcl8gIwDCghmibXYrY58LUU5pU52haEpqxa4nLksum5lmzKVSRN6iwiVfOhu3vn9KWTgTQaaupk03Mt2ZSrSBrV15zVt743uvvS5KeTgdTPkDrZ1N+UTbmKpFF9zVn/Hn62BoqA94matHoCxcC5qU0tg6ifITWyqb8pm3IVSaM6b/F194vCw4Wbgb7uXuTu/YgeNixPV4LShGXTcy3ZlKtIGsXznEhXd6+6Kwt3Xwl8Pd4TmFmOmS0zs7lh/XkzW2tmK81sqpnlhriZ2RQzW29my2Ob08xsjJmtC68xMfF+ZrYivGeKmVnNDCRjZdNzLdmUq0gaxVNElpvZ02Y2MLyeApY34By3A2ti1p8HzgJ6AHnATSF+GdEgj12AccATAOEW43uBAUB/4N4wICRhn5tj3jekAXlJY+s5Cq6YAm1PBSz6ecWUzGw6zKZcRdIonlF8vwv8I1ExgGgwxifiObiZFQCXAw8C/wzg7q/FbF8MVLUHjACec3cH3jOzfDM7BRgIvOHun4T3vAEMMbO3gDbu/l6IPweMBF6PJzfJENnU35RNuYqkSTxPrO81s/8CXnP3tQ08/mPAXUCNOUlCM9bf82Vx6gjEPpBRFmL1xctqiddgZuOIrm447bTTGvgRRESkLvEMBT8cKCUMdWJmvc1sThzvGwZsdfeSOnZ5HHjH3Rc2IN+EuPuT4caAonbt2qX6dCLSxM1eVs75k+fTecKrnD95PrOXNd97jeLpE7mXqC9iB4C7lwLxPIB4PjDczDYA04CLzey/AczsXqAdoYkrKAdOjVkvCLH64gW1xEVEUmb2snImvrSC8h0VOFC+o4KJL61otoUkniJS6e47D4n54d7k7hPdvcDdOwGjgfnufl2Y5GowcI27H4h5yxzg+nCX1jnATnffTDQJ1qVmdnzoUL8UmBe27TKzc8JdWdcDL8fxeUREEvbwvLVUVO4/KFZRuZ+H5zW0tb9piKdjfZWZfQfIMbMuwHjg90dwzv8iGkr+D+GO3JfcfRLwGjAUWA/sIerQx90/MbMfA0vC+ydVdbIDtwDPEN3l9TrqVBeRFNu0o6JB8aYuniLyT8APgc+BF4muDH7ckJO4+1vAW2G51nOGu7JurWPbVGBqLfFioLAhuYiIHIkO+XmU11IwOuTn1bJ303fY5ix33+PuP3T3s0Pn9A+rZjoUEWlu7hzclbzcnINiebk53Dm4eU34WqW+ARjrvQPL3YcnPx0Rkcw2sk/0JMHD89ayaUcFHfLzuHNw1+p4c1Nfc9a5RM9nvAgs4uD5REREmq2RfTo226JxqPqKyFeAS4BrgO8ArwIvuvuqdCQmIiKZr75RfPe7+/+4+xjgHKK7pt4ys9vSlp2IiGS0eu/OMrNWRGNfXQN0AqYAs1KfloiIZIP6OtafI7p99jXg/jAEvIiISLX6rkSuA/5GNEDi+JipOozosY42Kc5NREQyXJ1FxN3jGRJFRESaMRUKERFJmIqIiIgkTEVEREQSpiIiIiIJUxEREZGEqYiIiEjC4plPREQkpWYvK9eouFlKRUREGlXVnOVVU85WzVkOqJBkATVniUij0pzl2U1FREQaleYsz24qIiLSqOqam7y5zlmebVRERKRRac7y7JbyImJmOWa2zMzmhvXOZrbIzNab2XQzOyrEW4X19WF7p5hjTAzxtWY2OCY+JMTWm9mEVH8WEUm+kX068tCVPeiYn4cBHfPzeOjKHupUzxLpuDvrdmANUDV0/E+AR919mpn9F3Aj8ET4+am7n2Fmo8N+V5tZN2A00B3oAPzOzM4Mx/oF0RS+ZcASM5vj7qvT8JlEJIk0Z3n2SumViJkVEM2M+HRYN+BiYGbY5VlgZFgeEdYJ2weF/UcA09z9c3f/kPZxA7YAAAqmSURBVGia3v7htd7d/+zuXwDTwr4iIpImqW7Oegy4CzgQ1k8Edrj7vrBeBlT9+dER2AgQtu8M+1fHD3lPXfEazGycmRWbWfG2bduO9DOJiEiQsiJiZsOAre5ekqpzxMvdn3T3IncvateuXWOnIyLSZKSyT+R8YLiZDQVaE/WJ/AeQb2Ytw9VGAVAe9i8HTgXKzKwl0BbYHhOvEvueuuIiIpIGKbsScfeJ7l7g7p2IOsbnu/u1wALg22G3McDLYXlOWCdsn+/uHuKjw91bnYEuwGJgCdAl3O11VDjHnFR9HhERqakxxs66G5hmZg8Ay4BfhvgvgV+b2XrgE6KigLuvMrMZwGpgH3Cru+8HMLPbgHlADjDV3Vel9ZOIiDRzFv2x33wUFRV5cXFxY6chIpI1zKzE3Ytq26Yn1kVEJGEqIiIikjAVERERSZiKiIiIJExFREREEqYiIiIiCVMRERGRhKmIiIhIwlREREQkYY0x7ImIpMHsZeU8PG8tm3ZU0CE/jzsHd9XET5J0KiIiTdDsZeVMfGkFFZX7ASjfUcHEl1YAqJBIUqk5S6QJenje2uoCUqWicj8Pz1vbSBlJU6UiItIEbdpR0aC4SKJURESaoA75eQ2KiyRKRUSkCbpzcFfycnMOiuXl5nDn4K6NlJE0VepYF2mCqjrPdXeWpJqKiEgTNbJPRxUNSTk1Z4mISMJ0JSISJz28J1KTiohIHPTwnkjt1JwlEgc9vCdSu5QVETNrbWaLzex9M1tlZveH+CAzW2pmpWb2rpmdEeKtzGy6ma03s0Vm1inmWBNDfK2ZDY6JDwmx9WY2IVWfRUQP74nULpXNWZ8DF7v7bjPLBd41s9eBJ4AR7r7GzG4B/hUYC9wIfOruZ5jZaOAnwNVm1g0YDXQHOgC/M7Mzwzl+AVwClAFLzGyOu69O4WfKeNnWbp8t+XbIz6O8loKhh/ekuUvZlYhHdofV3PDy8GoT4m2BTWF5BPBsWJ4JDDIzC/Fp7v65u38IrAf6h9d6d/+zu38BTAv7Jt3sZeWcP3k+nSe8yvmT5zN7WXkqTnPEqtrty3dU4HzZbq98j5we3hOpXUr7RMwsx8xKga3AG+6+CLgJeM3MyoC/ByaH3TsCGwHcfR+wEzgxNh6UhVhd8dryGGdmxWZWvG3btgZ9hmz6jy7b2u2zKd+RfTry0JU96JifhwEd8/N46MoeGXnVJJJOKb07y933A73NLB+YZWaFwB3AUHdfZGZ3Ao8QFZZU5vEk8CRAUVGRN+S99f1Hl2n/gWRbu3225auH90RqSsvdWe6+A1gAXAb0ClckANOB88JyOXAqgJm1JGrq2h4bDwpCrK54UmXTf3TZNuhetuUrIjWl8u6sduEKBDPLI+oAXwO0jekYr4oBzAHGhOVvA/Pd3UN8dLh7qzPQBVgMLAG6mFlnMzuKqPN9TrI/Rzb9R5dt7fbZlq+I1JTK5qxTgGfNLIeoWM1w97lmdjPwWzM7AHwK3BD2/yXwazNbD3xCVBRw91VmNgNYDewDbg3NZJjZbcA8IAeY6u6rkv0h7hzc9aCHzCBz/6PLtkH3si1fEanJoj/2m4+ioiIvLi5u0Huy5TZUEZFUMLMSdy+qbZuGPYmDOlRFRGqnYU9ERCRhKiIiIpIwFREREUmYioiIiCRMRURERBLW7G7xNbNtwEcJvPUk4OMkp5NK2ZRvNuUK2ZVvNuUK2ZVvNuUKR5bvV929XW0bml0RSZSZFdd1n3QmyqZ8sylXyK58sylXyK58sylXSF2+as4SEZGEqYiIiEjCVETi92RjJ9BA2ZRvNuUK2ZVvNuUK2ZVvNuUKKcpXfSIiIpIwXYmIiEjCVERERCRhzbaImNmpZrbAzFab2Sozuz3ETzCzN8xsXfh5fIifZWZ/MLPPzez7hxxrqpltNbOVmZ5vXcfJ0Fxbm9liM3s/HOf+ZOeazHxjjpdjZsvMbG4m52pmG8xshZmVmlnD5kdonHzzzWymmf3RzNaY2bmZmKuZdQ3fadVrl5l9L5m5JjPfsO2OcIyVZvaimbWOOxF3b5Yvokmz+obl44APgG7AT4EJIT4B+ElYPhk4G3gQ+P4hx/oG0BdYmen51nWcDM3VgGPDci6wCDgnU7/bmOP9M/ACMDeTcwU2ACel6nc2Bfk+C9wUlo8C8jM115hj5gB/JXpYLyO/W6Aj8CGQF9ZnAGPjzaPZXom4+2Z3XxqWPyOaprcjMILol5Xwc2TYZ6u7LwEqaznWO0SzMWZ8vvUcJxNzdXffHVZzwyvpd4Ik83fBzAqAy4Gnk51nsnNNh2Tla2Ztif5Y+2XY7wt335GJuR5iEPAnd09klIx05tsSyDOzlsDRwKZ482i2RSSWmXUC+hD9pdve3TeHTX8F2jdSWnVKVr6HHCcljjTX0DRUCmwF3nD3lOUazteJI/tuHwPuAg6kIr9YScjVgf81sxIzG5eSJGMcYb6dgW3Ar0JT4dNmdkyG5hprNPBiUpOrxZHk6+7lwM+AvwCbgZ3u/r/xnrvZFxEzOxb4LfA9d98Vu82ja7uMugc6WfnWd5xkSUau7r7f3XsDBUB/MytMRa5w5Pma2TBgq7uXpCrHmHMl4/fgAnfvC1wG3Gpm30h+ppEk5NuSqMn4CXfvA/yNqKkmE3OtOs5RwHDgN0lP8uDzHOnv7fFEVy+dgQ7AMWZ2Xbznb9ZFxMxyib785939pRDeYmanhO2nEP0FnBGSlW8dx8nIXKuEposFwJBk5xrySUa+5wPDzWwDMA242Mz+O0NzrfoLFHffCswC+ic71yTmWwaUxVyJziQqKpmYa5XLgKXuviXZeVZJUr5/B3zo7tvcvRJ4CTgv3hyabRExMyNqX13j7o/EbJoDjAnLY4CX051bbZKVbz3HycRc25lZfljOAy4B/pip+br7RHcvcPdORM0Y89097r/o0pmrmR1jZsdVLQOXAkm/uzCJ3+1fgY1m1jWEBgGrMzHXGNeQwqasJOb7F+AcMzs6HHMQUf9KfA7taW8uL+ACosu85UBpeA0FTgTeBNYBvwNOCPt/heivoV3AjrDcJmx7kagtsTLEb8zUfOs6Tobm2hNYFo6zErgn038XYo45kNTcnZWs7/ZrwPvhtQr4YaZ/t0BvoDgcazZwfAbnegywHWibiu81BfneT/QH2krg10CrePPQsCciIpKwZtucJSIiR05FREREEqYiIiIiCVMRERGRhKmIiIhIwlRERFLIopFnbwnLHcxsZmPnJJJMusVXJIXCmEZz3T1lw7WINKaWjZ2ASBM3GTg9DCK5Dvi6uxea2Vii0VWPAboQDYB3FPD3wOdED4B+YmanA78A2gF7gJvdPelP7YskSs1ZIqk1gWgo8N7AnYdsKwSu5Ms5HvZ4NLjgH4Drwz5PAv/k7v2A7wOPpyVrkTjpSkSk8SzwaB6Iz8xsJ/BKiK8AeobRWc8DfhMNaQRAq/SnKVI3FRGRxvN5zPKBmPUDRP82WwA7wlWMSEZSc5ZIan1GNHVpg3k0N8SHZnYVRKO2mlmvZCYncqRURERSyN23A//PzFYCDydwiGuBG82sarTdEcnMT+RI6RZfERFJmK5EREQkYSoiIiKSMBURERFJmIqIiIgkTEVEREQSpiIiIiIJUxEREZGE/X8wxxpP/k6D2AAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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dcidnamestate
0geoId/06085Santa Clara CountyCalifornia
1geoId/06001Alameda CountyCalifornia
2geoId/06041Marin CountyCalifornia
3geoId/06081San Mateo CountyCalifornia
4geoId/06075San Francisco CountyCalifornia
5geoId/06087Santa Cruz CountyCalifornia
6geoId/06079San Luis Obispo CountyCalifornia
7geoId/06073San Diego CountyCalifornia
8geoId/06111Ventura CountyCalifornia
9geoId/06061Placer CountyCalifornia
10geoId/06013Contra Costa CountyCalifornia
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" - ], - "text/plain": [ - " dcid name state\n", - "0 geoId/06085 Santa Clara County California\n", - "1 geoId/06001 Alameda County California\n", - "2 geoId/06041 Marin County California\n", - "3 geoId/06081 San Mateo County California\n", - "4 geoId/06075 San Francisco County California\n", - "5 geoId/06087 Santa Cruz County California\n", - "6 geoId/06079 San Luis Obispo County California\n", - "7 geoId/06073 San Diego County California\n", - "8 geoId/06111 Ventura County California\n", - "9 geoId/06061 Placer County California\n", - "10 geoId/06013 Contra Costa County California" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 22 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "O5jZdeF1gWS8" - }, - "source": [ - "## Now we can look at multiple statistical variables at the same time!\n", - "We look at three statistical variables: unemployment rate, median income, labour force participation rate. Since Data Commons does not have per capita statistics for labour force, we set per capita to True for that variable. We look at the first two statistical variables with time series based on Pearson correlation and labour force participation rate as snapshot. The plots for unemployment rate and median income show very similar trend between Santa Clara county and retrieved places. The labour force participation rate is very close between query county and retrieved counties as well.\n", - "This time, we will look at all counties in US, not just California. So it may take a while to get the data." - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "65zLsbb3gWS9", - "outputId": "703de3de-9fc4-4249-861b-11bd66b5740f" - }, - "source": [ - "statvars = ['UnemploymentRate_Person', 'Median_Income_Person', 'Count_Person_InLaborForce']\n", - "per_capita = [False, False, True]\n", - "time_series = [True, True, False]\n", - "places = dc.get_places_in(['country/USA'], \"County\")['country/USA'] # look at all counties in US\n", - "statvar_display_names = ['Unemployment Rate', 'Median Income', 'Labor Force Per Capita']\n", - "time_series_similarity_types = ['pearson', 'pearson', ''] # omit the last element since we are looking at snapshot case for labour force\n", - "df = retrieve_compute_visualize(query_dcid, places, statvars, statvar_display_names, per_capita, time_series, time_series_similarity_types, similar, K, quiet=True)\n", - "df.head(K + 1)" - ], - "execution_count": 23, - "outputs": [ - { - "output_type": "stream", - "text": [ - "===================================Plotting Unemployment Rate time series===================================\n" - ], - "name": "stdout" - }, - { - "output_type": "display_data", - "data": { - "image/png": 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OOYeTTz6Zbt26xZV94MCBuN1uBg0axN133w0YnbYOPfRQXV5Zo8kiuiyzJqPs2LGD0aNH8/HHHwcbtqcCfT5oNNHYlWVuHTN+TU7w+OOPc8IJJ/CHP/whpUpfo9EkRutw7mpygiuuuIIrrrgi22JoNK2evJ525YOZSpN+9Hmg0SRG3ir+tm3bsnv3bn3Rt3KUUuzevdtxuKtGkxekqcSMSd6aenr06MH27dvZuXNntkXRZJm2bdvSo0dqOxRpNFnDLDHjqzNemyVmIGXlmvNW8Xs8Hnr37p1tMTQajSa1vDa7Semb+OqM8RQp/rw19Wg0Gk2LJE0lZkJJm+IXkUdE5DsR2RQyNk9EPhaRDSKyVESK03V8jUajyUsy0HA9nTP+R4GfRoy9AvRXSg0EPgFuTePxNRqNJv/IQMP1tCl+pdSbwJ6IsZeVUg2Bl+8B2iOn0Wg0oWSg4Xo2nbtXA0/bvSkiU4ApQLAOjUaj0bQK0txwPSvOXRH5T6ABeNJuG6XUAqXUcKXU8K5du2ZOOI1Go2nhZHzGLyJXAecAY5XOvtJoNBoAKqqqmbdsCzv21dG92Ev5uL6UDSlJy7EyqvhF5KfAVOA0pVRtJo+t0Wg0uUpFVTW3LtlInc/o11G9r45bl2wESIvyT2c450LgXaCviGwXkV8C/wMcArwiIutE5P50HV+j0WjyhXnLtgSVvkmdr5F5y7ak5Xhpm/ErpS62GH44XcfTaDSafGXHvrqExpuLztzVaDSaLNO92JvQeHPRil+j0WiyTPm4vng97rAxr8dN+bi+aTle3hZp02g08amoqmZm5Wb21fkA6FjkYca5/aIdhhsWGUXA9m83SgOMnZ7WOHJNOObv0SKjejQaTeaoqKqm/Jn1+PxNUdN7a32UL14PhESLZKAMsCY+ZUNK0qboI9GKX6NpocxbtiVM6Zucpd5ieMX1qOd2Ix16QP0P1mWAX7pFK/4Mk6lYfm3j12haKFYRIRNcK5njeYgesgtBGbP7uj0Wn8YYT3HnJ409Zix/9b46FE2x/BVV1Sk/llb8Gk0LpbjIEzU2tWARRVLvfCevzU6hRJpYZDKWX5t6NJoWSEVVNTUHGpjgWsmMgsfpJDXJ7SiFzT80sclkLL+e8Ws0LZB5y7ZwFm8xz/MAnV01iBB8JEQKm39oYpPJWH6t+DWaFsiOfXVMLVhEG2mMv7EtYvgA7u6vbf0ZIJOx/HEVv4gcLiIPi8hLgdfHB+ruaDSaHKV7sZfusquZewlEBJnhnVr5p5WyISXcOXEAJcVeBCgp9nLnxAFpieqReJWRAwr/b8B/KqUGiUgBUKWUGpByaWwYPny4Wr16daYOp9HkPRVV1YyoOJWSZiv/ELyd4JYvUrc/TdoRkTVKqeGR405MPV2UUosAP0CgdWJz1o8ajSbNlA0pYcewqdTjjr+xU3R4Z4vBieL/QUQ6E1j3iciJwP60SqXRaJrNiF4dKfR2SO1OdXhn2qmoqmbUnOX0nvYio+YsT0scv5Nwzt8ClUAfEXkb6ApckHJJNBpN6ogsw2CBUklE+ejwzrSSqYYsThT/ZuA0oC8gwBZ0NJBGk9u8Njum0ocklD7o8M40EyuJK9OK/12l1FCMGwAAIrIWGJoyKTQaTWpJ18y85luYGTAfeTvBWX/U9XxSSKaSuGwVv4gcAZQAXhEZgjHbBzgUKEqpFBqNJrV06GGEYaaaxpByD3V74LlfG8+18k8J3Yu9VFso+VQnccUy2YwD/gT0AO4C/hx4/Ba4LaVSaDSa1DJ2Og3utmFDsQO3m7Ao6GlPY712+KaQTCVx2c74lVKPAY+JyPlKqWdTelSNRpNWKhpHsdI3mZv4B91lNztUZ7ZyBKNcmwg17Uc6eGtVIav9x1Lq2ozLqQ8gHSuLVkqmGrLEtfErpZ4VkfFAP6BtyLi+zWs0Ocq8ZVuorj+ZxZwcHFtZeAORulwEGpQLF4odqjNzGyYxtWCRc6Vv7MWIItLmnpSQiYYscRW/iNyPYdMfAzwE/Bz4IK1SaTSapKmoqra2E9tk8bpQHH3wyeDre+QvCR5RGeYerfjzBidhmScrpa4A9iqlZgEnAT9Kr1gajSYZzDhwK3aoLjbjnR1tFxMd359XOFH85tShVkS6Az6gW/pE0mg0yWIVB25yDxdFOXxrVSFzG8Jn6nMbJlGrChM7sI7vzyucKP4XRKQYmAesBbYCC+N9SEQeEZHvRGRTyFgnEXlFRD4N/O2YrOAajSaa0HjvCa6VrCy8gc/bXMLKwhsY2asTBefdBx16AsJ2fxem+SZT6S8N20elv5Rpvsls93fBr4Td/vbUqDb2UUEeL4ydnrb/SZN64lbnDNtYpA2Gg7dBKfVDnG1PBWqAx5VS/QNjc4E9Sqk5IjIN6KiUuiXecXV1To3GGaPmLKd6X12wt25om8U62uCd+D9BW7y5bTys9mWk9SjjJjJ2urbv5yhJVecUkRIRGS4i5rqvA3AL8Gm8Ayql3gQiuzifBzwWeP4YUBZvPxqNxjnl4/oywbWSuzz3R/XW9XIwLObeKmbcCus+vQrEbdj2X5utq3bmGbaKX0RuAtYB9wHvichk4CPACwxL8niHK6W+Djz/Bjg8xvGniMhqEVm9c+fOJA+n0bQuytxv88fChygQv/UGIU7YyMYfbpviPbYNXVQjoHSjljwkVjjnFKCvUmqPiBwJfAKMUkqtScWBlVJKRGztTEqpBcACMEw9qTimRtPieW02XiJn5yFEOGFDY8Yrqqq5+el1Ubb8HaoLPeI1dPHVwUu3aJNPKtmwyFhN7d9u/G4pNKnFMvUcUErtAVBKfQVsSYHS/1ZEugEE/n7XzP1pNJpQYoVVxnHClg0p4dITj4xK8nrNPxhHrkDdqCV1mGW1928jHauqWIq/h4jMNx9At4jXyVAJXBl4fiXwXJL70Wg0VtiFVYobzp0fd8Z4R9kA7r5wMCUhRcHGutY5L+Gs6/akBquy2r66lH2/sUw95RGvE5rti8hCYDTQRUS2AzOAOcCiQLP2LwG9LtRoUsiqPtfTf+3vDUduEIFhVzk2E5imn5ueXgfEsPFboRO5UoPd95ii7zdekbakUUpdbPPW2ObsV6PRWFNRVc2tq45imjqFy92vhtTbUbD+KTjyREfKPzL715GN30QncqUGu7LaKfp+dSctjaaFYGbtjnWtiy6yloCZIDL71yqT96ByU68i5o06kSt1jJ1ufJ+hpPD71Ypfo2khmFm7tqYZh2aCyG5PkZm82/1dKPddy8LG0TQoV5Pj17y5aAdvs6loHMVMda3xnSPUers58tE4xUl1zlFKqbfjjWk0muxidm+yNc04NBNYdYGq9JdSWd9U2mGCayUXuN+Mzhcwo09Ah3YmSVPD9ZE8ykgAvI1u7mwckLKMVycz/vscjmk0mixSPq4vPy98By8HosMvEzATOMnotc7mDWDG9GuSIlbD9VQRq+fuScDJQFcR+W3IW4cC8fO8NRpNRilzv805nocoaDwQHFOAJNgUPbILVAevBxHYW+sLbhM30seM6dez/oTJRMP1WKaeQqB9YJtDQsa/x2jGotFoconXZocpfTBKqVHYLmEFHNkFqqKq2ujqFVA+jiJ9ll4LS6akPOu0pZOJhuuxwjnfAN4QkUeVUl+m7IgajSY9pCn2u6KqmvJn1uML6cI+t2GSRcXOCFTA/q/t/glRPq5vwMbfZO5JdcN1Jzb+NiKyQEReFpHl5iNlEmg0mtRg57xtZuz3zMrNYUofDGfvM42n4ndaRSuFWactncjieSXFXu6cOCClfXjjRvUAzwD3Y/TbtW7to9HkKKaJYse+OroXexlzXFdWfLwz+Lp8XN+0N7bOGGOnGzPr0FT/FMR+76vzWY5b5gvEQmf1OibdDdedKP4GpdRf0yaBRpMmmsLijPlK9b46nnjvq+D71fvqghmqLUL5m2aUNFV0jCShUg6gs3pzCCemnudF5DoR6RZondhJRDqlXTKNppnE6j9rkuowuWyyqvIBvllyG/592/iGLqzqc31KlH7HIo/leMJN2Y89s9myaFKDE8V/JUbBtncwCrWtAXQfRE3O4zT8LZVhctliVeUD9F9zO0ewE5fAEeyk/5rbWVX5QLP3PePcfnjc0TYdq1IOMW3+65/SWb05QlzFr5TqbfE4OhPCaTTNoYPXeqYaSSrD5LJFz7Xz8Ea2WpR6eq6d1+x9lw0pYd7PB4U5GzsWeSxLOcz23AQTHzTKQEeiHbw5g5OSDUXAb4EjlVJTRORYjM5cL6RdOo0mSSqqqtl/wNopGUqqw+SyxWFqJ1EdVIDDVIJ2eBus4vrLn1kfVsrB4xLm/WwQDCwx4vet0A7enMCJqedvQD1GFi9ANXBH2iTSaJqJ6dSN1zUqHWFy2eI76WoznqAdPhEibzShr9MUWqpJDU4Ufx+l1FzAB6CUqsVybqHR5Aaznt8c16nb0tg2tJy6CHt7nSpk29DIfkqpYd6yLfgaw++svkbF98/eiH9WR+ta8rpsc87gRPHXi4gXo+wHItIHwtr7aDQ5QUVVNYNnvRxWUyYWZjhnRVV1miVLPyMmXMumYXfwDV3xK+EburJp2B2MmHBtWo5n5RCfVfAIl7tfwaX80R/o0DOlZYU1zcNJHP8M4P+AniLyJDAKuCqdQmk0iRIZs+8UM5yzJZh7Rky4FgKK/ojAI11Y1ZO51L3cujevuOHmTWmURpMoTqJ6XgEmYij7hcBwpdTr6RVLo0mM5ph3WkI4Z6axKt3sxmKmD6Bal9ktH3DagasEoxRzIXCqiExMn0gaTWJUVFU7Nu9Y0RLCOTNN2ZASzh8WvkpqtFMnVqGdmqziJJzzEWAgsBmCt3QFLEmjXBqNY5qTeSvAmOOsI2I0sVnx8c6w1082ns4V7lfDzD1KwRI5A3dVNWXutzNWTkITGyc2/hOVUsenXRKNJkEia8QngwKeXVPN8KM6tQg7fyaJNJHNaLgaMGz9bvw04uId/48ZrVbSqeJ4lISEA+pSzVnFiannXRHRil+TU5jO3OYofZOWVK8nk1iZyGY0XM0xB5+g98Gn+K3vV5zg+pjOrhpELGLAdSZv1nCi+B/HUP5bRGSDiGwUkQ3pFkyjiUWqY/W1gzdx4vXmnVqwiDYS5zfSmbxZwYmp52HgcmAj2LntNZrM4dSZW+Rx0cbjZl+tj7YeF3U++9NXO3gTx6o3b2jtfkdlm3Umb1Zwovh3KqUqU3lQEbkZmIxhYt0I/EIpdSD2pzQag3hmmZJiL29POz1sbNSc5bZmIe3gTZ7IGj6h33Pcvrw6kzdrODH1VInIUyJysYhMNB/JHlBESoAbMPIB+mOEiV6U7P40rY94dn0rs00sU47p4G0JGbzZJtT8M7dhEgeVjSnI20ln8mYRJ4rfi1Gi4Uzg3MDjnGYetwDwikgBUATsaOb+NK0It2V6aBNWZpt4phzt4E0NZr9YtwiV/lL+0TgmulieuxDO+qNW+lnEiannP5RSu1N1QKVUtYj8CfgKqANeVkq9HLmdiEwBpgAceeSRqTq8pgXQGKPspp3Zpnxc37glHbSDt/ncXrGRhe9vC/5GY13ross4NNbDkmuMiB4dy58VnMz43xORZ0TkbJE4Uy0HiEhH4DygN9AdaCcil0Vup5RaoJQarpQa3rWrtr9qmiiJMXu3M9uYM9FYn9UO3uZxe8VGnnjvq7Abc0wHrxnLr7tyZRwniv9HwAKMyJ5PReS/ReRHzTjmT4AvlFI7lVI+jAzgk+N8RqMJEi+M0M5sUzakhLennc49Fw6O+rx28Dafhe9Hl2KO25fXVwdLfwUzi+Hu/vomkCGcFGlTSqlXlFIXA9dg9OD9QETeEJGTkjjmV8CJIlIUWEGMBT5KYj+aVoqT2Xsss41ZZyZ0+aqAJ977in7T/y8vnbyrKh/gm5nH4J/RgW9mHpOSXruJYmWCm9swKW5DHKOIm9IrgAwSV/GLSGcRuVFEVgP/AVwPdAF+BzyV6AGVUu8Di4G1GKGcLowVhUbjGHP2bqf845ltVny8Eyt99EN9I+WL1+eV8k9no/VEsHK6V/pL2Ut75zvR2bwZwVHJBuBQoEwpNV4ptUQp1aCUWg3cn8xBlVIzlFLHKaX6K6UuV0rpxtwe66cAACAASURBVC6apLAy+zjpoxtrReBrVHkV4ZPORuuJcPEJPS3HXz3qt0bMvlN0Ni9gJCqOmrOc3tNeZNSc5SmdjDiJ6umrlFIi0l5E2iulasw3lFJ/TJkkGk0SRGaPdi/2Uj6ub9yCa1aNRELJpwifdDdad8odZQMAglE9bhEuPqEnk8rGw4aegcqcFi0ZI9HZvFGNhcxucUBKigk6Ufz9ROTvQCdARGQncKVSSrfU0eQEkdmjMdmwCF6bzcoD26ku7MzchklU+kujNsunCJ/vpCtHsNNivEtau3BZcUfZgOANIIyBk6hoHMWJz51mKWsTorN5MSYykaHHqewW50TxLwB+q5RaASAiowNjOhLHIWb54ERmpBprmvVdblgEFdeB34cAPVy7mOd5AHxEKf/a+gYqqqrz4nfaNrScTmtuo1AagmP1qoBtw8ozrvgjqaiqZmbl5mANn8/bWK9OghQWZUawHMduxZmqlagTG387U+kDBNoutkvJ0VsBoeWDFS2rwXemafZ3+dIt4A8v7tZGGplV+HjUpntrfXnzO43o1RF3xJXsdhnj2aSiqpryZ9aHFW6LG95Z/4OO7MF+xZmqlagTxf+5iPxeRHoFHrcDn6fk6HmMneOloqqawbNepte0F+k17UVufnodZzS+wcrCG/i8zSWsLLyBMxrfyCvnYa4Qa/nriLo9lsMdqaFjkSd683wp4/DabNyqIWzIrRqyHh0zb9kWfP7w2Km5DZOoVYWxP6gje5IOWnCKE1PP1cAsmlotvhUYa7XYOV5Wf7mHpz/YFnayn+tayRzPQxQFoi56yC7meB7i1u8BTrfYu8aOdC1/FdiWec4LJ69dFEyWo2OsvrtKfyn4jFr93WU3Isra8tPKI3uSDVpwSlzFr5Tai1FNUxPAnHlOcK0MnMC72KG6MG/VJHwRtuKpBYuCSt+kSOq5pXARo+acoe3+CVBc5LFU0DGXvwFnLvu3g7hARdfk388hth/PCydvhx7W0TJZjo6xi5yq9JdSWV+K1+NmTfubKKr7OvrDOrInsaCFBLE19YjI8yJSafdIizR5wo59dUwIzOR7uHbhEsNReGfBQ0xwrQzb1q5WyRFqt7b7J0BFVTU1Bxqixj1usV/+blhk2Iv3bwOUpdLHXciM+sttj5uqpXU6WdXneuoizCd1qpBVfa7PkkQG5eP62iqYdoVu7pw4gKKzZkfH+Os6/Wkn1oz/TxmTIs/oXuxlZt3jljP5qQWLqKxvmvXbNaPYq8L946kM1WqJWNmLARpCx0Jn9x16GI5CXxxTTWF7Okoh1ES/Vez15MXv8eKGHRytCmmLcT7upT0zfVew5sNjeXtC9uQqG1LCrOc3W67Spvof5JznlqPwIwgUtoP6WuN30xU7047tjF8p9Yb5wMje3QvsAd4NjLU6TIfusO9foaOVpiB6hv+afzAW+opD5EDU6iAVjcNbKna2dqXg1iUb+exv1xqlfs3Z/f5tts7cMOr2cFvjXzkv4rfwetzMnNAvBZKnmQ2LmOr7S1NDcyF4A8gF/8Q+C6U/q+ARrnC/SgH+gH1fGTdpt8f43ZZcA3/s3eoje9KJk1o944HPgPnA/wD/EpGz0i1YrhEaSji1YFF0jfEQTIU+wbWSC9xv4rLYtlAamFoQfmJL4DiaaGLZ2s9ofIPeX/4j6X0XqoOUh/wWApw/LH321ZTy2mzblWcu+CesZLjUvdz6+mkM+T/q9sBzv9bKP004Cef8MzBGKTVaKXUaMAa4O71i5R6hoYSxaoy7BO7x/IUv2lzCvZ6/RF2UoZTIrmCI5wTXShQws3JzqkVvEcQqxTy1YJGjEzkW3aWp15DCKOKW82xYZFsCobvszgn/hJUMbuyb3ofRWN/qwzrThZPr5d9KqX+FvP4c+Hea5MlZQpfN8ZJQXIEld7y2NSIEHcNzPIZjeF+dT8/6LQht6RdJzGYfDtmhOoe/zgEzSUxMx7UNB4qOyIkVS9mQkqgcicZEbtOtPKwzXTj5BVaLyD9F5CoRuRJ4HljV3Kbr+UboktVREkqCFEk9MwoeN2b/FcdnraZ6LlM2pIQ/TxqE1+Nmgmslawqn8EWbS2JWAHBCrSpkbkO4M1FByisippTXZts6rhvcbY1omRxhxrn9wlZrTzaeHr9Gv4kO60wLouL8AiLytxhvK6VU2pO5hg8frlavXp3uw8TEbCtnMsG1khkFj9NJauLO7J2iVPgqwa/gi14X0ecX+gYQyqrKBxi09lYKse+f6xQF/KDaUI+HYmrw48KNn2rVJVjAzSVwyQlHWhcfyxYzO1gOKwVPqTNo97N7c2LGb2LWWDIDGGYVPMKl7uW48QcNP+7I68hdCOf9r47waQYiskYpNTxqPJ7izwWyrfgjM3VDWdtmCp3EOsInlEil7hQ/4Jr4oD75Q7m7v7Pyvs2kVhUyzTc5WMDtshNzRPlvWARLpoBlKxnY7u/ChUUP8va03MsMHzVnuWX0WuhECgHxdoKz/qjP+2Zip/idRPX0FpG7RGRJa03giqwRM8G1Mlh7RymjEmI8kl0VuCDawbVhkaH8Wmuf0gzZfc3oGBOrnrJZ4bXZ2Cl9MBy7ueqjsHPSV/pLmdVwBdWqC5hx/Zq04aRWTwXwMIZt36E7vmURehFNiKi901lq8ClJekbviFBFZzr1TPuu2acUWs/syNvRWYx+CgiN9rHqKZsV4tz4dqjOORHKaUVoDZrqGNdVqzyvM4gT5+4BpdR8pdSKiKSuVoN5EU1wreQuz/1RIZoeUelT+hDu4LJy6ulqhmkjNNrHKqIoK8RweNaqQu7hopwI5bTD7Je8dc74YM9kq5pW+Op0MleacDLjv1dEZgAvA8HeuEqptWmTKscoH9eXH5beyMXyimUyVrJErhLMCWXoWIO7LQWhdUtytBJjugltwPJZ273Njtt3QmS0j11P2Ywzdjq1z/46TFEq1VSq4dCRF+WUY9eKSGdvzJDcuj3GDeCFm3RZhxThRPEPAC7HqCFsmnoUraimcJn7bZTrlWaHDUK4sheJfh263V7a89++qyhtHEWZ+UaOVmJMJ5HO9R3+zvRwxVAU4gZlE/EjbqNYm4h10bYACljceBqV/tJg79iccOwCFY2jWOGbTHmgtPEOFd5CsiTHk8+sgiXsalqFUf+D8VebgZqNk4nTBcDRSqnTlFJjAo9Wo/QBeG12apQ+0X4AO+uBiNEg5Cb+wboXFzS9MXZ6dDVDBI49MwUS5iaznt8cpiRi51EIDLsKJj5oXfXxZ/fDzH3wswfAFd18JWQvnO6qoqTYy58nDcoZpQ+w7sUFAaW/K0rpQ+4nn1k11Ek4N0abN5uFE8W/CShOtyA5TSrMKN5OCd88JJDVO9X3lyYb58BJMOgSwhuXKlj/VIu0g1ZUVUdVd6z0lzLNN5ntfqsM6sB3AXDufOjQExDj77nzm2aIAydB2V/A28n22N1ld+6VzA4UZQstB25mfZvkqmPXxK5G/zONpzpP7IIWb95MJ04UfzHwsYgsa63hnEmbUbydYOZ+43HLFwEllDhFElGz5NOXiQrna6EzILvWh5X+Ui4setD6OzW/i4GT4OZNxgz/5k3RZoGBk2L+LoLiizaXsNF1Md8/e2NuKP8YRdkgte350oWdk3ysa11iQRLe7PYUzmec2PhnpPqgIlIMPAT0x9BgVyul3k31cZKhoqqamZWbgw2iOxZ5WDD4ekZsnBG/tnsk9TXGLNxUOGOn0/Dc9RQ0HkhcMHN2E6MwVyaSmjJNpNkitOvZAekG+y26N0Fis8Gx08NDZAn3vRTg53L3Kzy19EYqyHJGrM3/1V1207HIw4xz++W8Y9cuLDbhmkuR15fGMXFn/IHQza2AJ/B8FdDciJ57gf9TSh0HDAI+aub+UkJFVTXlz6wPKn0werFe8n5PVg2YFXvGLhZfZWR1wYGTuEN+xXZ/F/xKaFDOY1NqvUfELcwF0uLMPaFmi8iuZ0bLPpspYiKrtIGTDDOQt1NwHWXli7lQXst68/Va7xGW4/sLD6Nq+pk5r/SBYAhnJDGLHzq5vjSOcZK5ew2wGDALxpRgJHUlhYh0AE7FSApDKVWvlNqX7P5SidnlKTQzd2XhDZyl3uKmD481zAV2TkO7CJGIGdpjNSMprZ/P0Qef5Le+X0U5tPwQdUOoVYW8dGAQLP1VnFWHanEXQmim50xPdNezgMs8fCjR1n1m5666PTH9MG78VO+rY9Sc5fSe9mJWirjN9V0Ydc7UqkLuVRdnVI7mYJe9a+XgbXC3heG/dHx9aZzhZMr5a2AU8D2AUupT4LBmHLM3sBP4m4hUichDIhKVny0iU0RktYis3rkzM+Fpdr1053geYvj3rxgbmbPDSKeh3WogYuYZOoM1HVqhHbpcQCPCHtUevxK2+7vwTOOpnOVfbh+iGEoLuxDMcsxXtf/AtusZKHsnbjzC+vLGphEXAlntlfxYzcigY9s8P6b5JvNYzciMydBczN+0pNiLYKwALjvxSN5sM6bpf0Oo9XajYMilTc56K1pwGHM6cWLjP6iUqpfA2ldECohVKMTZMYcC1yul3heRe4FpwO9DN1JKLQAWgFGkrRnHc0z3Yi9Ta6MzCIuknvKCRQyZPSZgQ51krVgi7MRWM8/ycX3DYpjHutZFJYW1kUZ2+tsytN4I41xZeEPMhi5htMALoWxICWWvPwv7bTbo0NNYjSVDjPLGoSgVKCccMZ7pXsndi71U7isN6+sM9uaTXKVsSHSHs+FHdWLesgJO2VdK92Iv5Wf2pez1cfa/j27KnjROZvxviMhtgFdEzgCewajbkyzbge1KqfcDrxdj3AiyTvm4vrYOphLZxSkHVvC7Z9Zbz/DsVgIRN4iyISU8PuJL3mt7I5+3uYQSm0QkszvXmsIplDh1erk8LfdCiLWSaU4OQ5wVklLG4wfassb/I8ttMtkr2cpMkg+RPPEIbW1qrqZuenod/n0xVmKJrOw0YThR/NMwTDMbgWuBfwK3J3tApdQ3wDYRMc/UscCHye4vlZQNKeFAUTfL90TgT54FjOctZj1v0x4xXvggwIZFjNg4gyPYaXTqspHF7M5lNtF2RK7UkkkHsVYyzclhiLFfP02d1NrLgah4eZNM9kq2MpPcOXFAXjh1Y2GV1AUxHL4demql3wyyUo9fRAZjhHMWYrRy/IVSaq/d9pmox2+Gcd7se4Ar3K/a6tDt/i6U1s9n65zxyR0oE7XkO/Rsmvm/NtuY1eZ7fZPIqqSRJGvusdqvy2P4Uywcirv97amjbSBrtqlZS0mxNyfr3+cLvae9aGk/nlXwCJe7Xw0zh9bRhk1D/4sRE67NmHz5il09/rg2fhEZBcwEjgpsLxidt45OVhil1DogSphsYYZxnsVbXOB5M+bE2SzTW1FVndwsK6ZpQVAqBZU+92+DiuuMqWpjCylza8q85Brr95N1apv7NW+Q3o5GfLjfOorE6LhmOJl7iOH4xwfP7yu13F7jjO7F3iiT2QTXSi5wvxmm9P0KFjWewpxVR3FnzySvQY0jU8/DwF1AKTACQ2GPSKdQmWbW85vx+ZV1adgI9iojACnpeG4700KHnjBzH99K1+T2G4nf16T0TfI1u9dsPLNkilFkzYrmOLVDTXSF7aK/txAib8pm1mxGe/S2wEY8Vr4Lq/Bdl8Cl7uVsdl3Iic+d1iL+92zgRPHvV0q9pJT6Tim123ykXbIMcXvFxmAtGCeZg4fIASa4ViZfCMuqyFpIdMK2oeXUpbiRexj5Fu65YRENz10fMI8pUI3RJoFURnfE+H7srKKmI/7p2mt449n/TZ/y37DIqE2/5Jqm78NcyeW5AiwbUsL5w5pm7xNcK23DdwvEj0vgCHYa38XMDi3mBpgpnCj+FSIyT0ROEpGh5iPtkmWAiqpqngxpoB4zczBAoTQYJQOSDZ+LE/0zYsK1PH/UtGCc9r/9bWIWrmpQrsQKW+VZuGftS9OjSlwIIfHEicbtxyPG9xOrkqqZ8/EH94O8/9z9qZElFNMXYdV5LF9XchGsCCknPbVgUWImzxZyA8wUTuL4Twj8DbXJt4h6/POWbUER3ujZSQvF7rK7eeFzA23yAALc+90QVjZMYmrBIkpkl608Zmz5Oa73DNtz6JsuT7iNH/Iy7rlt3TeW4wLNi9+3w6JuTyIUST2/9j8F/Fdq5YqXb5BvKzkLQlfRCdftgfDifJqYxFX8SqkxmRAkG5iZuvM8D9BGokPJ7G4CvsJD0+pUGv79K9wZ2n/UhhrVhgvcb0Zv5+0EZ/3ReJ7nUT0xm66kQ9mFOXuTi74K7dObMuL8r7XeIyhK/VEzSqiD11FjFitawA0wE9iaekTktxGPm0XkchHpnUkB00n3Yi9TCxZZKn2wn/m3KbBxMKaIWwufiav0/Qp84rHezmxV99IthrKPlVeQ4zxUeFlYSYsw0mW2Mp29SZbR3qE6p9bOv2GRdZGyALWqkLm+C1N3vCwR6uC1qtvjyKSZZ6bMbBHLxn9IxONQDHPPSyJyUQZkSzvl4/o6z4oNxcrOmkIOJ7ZMfgV/b/wJxba1awKYN4CZHZoeeda4evD4Kbyj+kdd9A3utuk3W42dHrNLlxVKwefqcG56eh39pv9f4jeAyIidF35rOLct6jQpBTWqbd7V6rEjNDnteX8pcz3XsddzeLAm0eONP4mj/AU6Hd3iIp7Sga2pRyk1y2pcRDoBrwL/SJdQmaLM/TYqqZh5SWsdcLHpq6sUVIckDY11rUt8OVy3B577tfE8D1YAZe63afD8i9BFmQKjeFe65Tf3/9ItqLo9QY/yD7ShHg8dic6qFoFS12YmuFZSWV9K+eL1xv/hxDQYmUy2fxtq9cO2F6kIuAJJZrnedcsp4TV8xjNqzmlUH2yy/Z/rfo9OsYr1ffFG08t8z11JI84LwgdQSu3BvtJAfpF0L900lz+2CPmsVYXc6LuO0vr5wf6qCfcpNWmsN1YC5owol+PCX5ttGdVjdCHLAIEuXc+d9yHl6jdUqy4UcTDmzNMlMKPgcQB8jcp5zoeFAzfe+Vkk9dziWZT3tXrsiEzqmum7QvfmTQFOonrCEJExgG15hbyiOY6gdDqRIrNJO/Rg2s5zwxpqg1HWGZ8R+mbrAI1FPmT42n3PGXbilbnf5hzPQ8GbUGeJbWbrJDXGrN9f6jjnQ+3fntREpLvsbpEZrBVV1eGhuzSd87d4jC5sjr4v7fCNwlbxi8hGossvdwJ2AFekU6iMYWNSCUPc1nXw0+1EGjiJisZRzFu2hR3f1uGSyEvAoNJfypqiM3j77F325Qxi4fdFj+VQWFyt94hAp60IMu3Es1h5xEIE7vb8FXyw5tAzmpq9xIiw+pYuRlJSBPFCjKWFOjRnPb/Zsn6PqfzvKryfAmwatITSQr+f5hBrxn9OxGsF7FZK/ZBGeTJLvJhtjxcGXWJUf4xTZz/VVFRVs3LpX3iaf9C9TXhBsEhOPbCC2peeSW04Xw70762oquaHH/pzsXwdVq+lwd2WgkznIyQxa3SL4k+eBSyu/ZT6pW9SqA4G9rXN6L0MYcp/WcOgqIJkJnbKv04VsqnP9S2rhgrGb29m1EdiNktypPSheWW7Wyi2Nn6l1JcRj69alNKH6CxabyfjEZpRe85djursp5p1Ly5gtiyI6gR2XkRZ4Amulfxe3W89K24W2e/fu+7FBfxM3ogq0vWcf3TmVyNJzhoLpYFJ8lqT0g9Q0HiA2peabl6rKh+IKkhmYpaGBuMG4A/0CNju78ItvslGW9AWRiy/iJOaWmE0p2x3CyUrZZkTJRNlmXON7dP7WNrtt/u7cGHRg0Gn18rCG6zt+2ZWa3PKQKcjMzYBYn0HPWZ/lllh4pSFjmWOsXvPD3xHVw5TO/HjokCczWAblItjDj4RfC3AF8mWCc9R7Mo0A3ze5hLLG2RMIs9lB6a3loBdWeaEo3o0maG7yzr7s7trt7PUdtM00SwHdnbNPbG+g4wTuTr0tAtTTDFt8HbvKYINeZwqfTCavofSUkI5Q4n1PzmpqRVF6HUQ1me55RS6S4RWq/grqqoZNWc5vae9mLlyuglwwHuE7XjoRWHfoahH+N9kiCyBbFaHzFAyWKzvICuElm8u6tSsmGalSHzWGqAx5LJtCW0XrbAq02ySVBhz6HVgVffIV2dkurcSWpfiD8Srq5nFjKg4lWHfvxLs73nz0+u4vWJjtiUMUnTWbCM7NYQGd1uKzppN+bi+eAJaw/IiCHU+J5F9GiQ0mmnDIiP0MzRruW4PLP1V2pR/rO8g69ispBTOSgsk22xHKVikxraototWWLWYvOzEIwEjqmeab3Kggq3DUg51e5ryVOxWsnV7Ws2sv/XY+C1stLWqkGm+ycFIGQHuvnBw7lxIMeyQQ2a/HIx6mOBaaZSKlt18J104YuJ/h9sr/9g7uTIToXbRWBeMtxPc8kXi+3dCrtpibb4Pv7iC2bTJYjR3bwNAO5qcwn6EDzqXcdINjzZr//lM6HkPMXxcyZJlv1aqSbr1YovBYnlndk+qrDcUv8KIJsgZxR+jfPO+kJO/0l8a/B8E+GJghKOvLol8u8iQ1Vi+gnTWLopTwjprWIUCe7xIkuWcQxEBHx46zgw3P7qBk5q99/xmxrn9uHXJxmBj9qTKN8eilSR7tR5Tj80PGllCN+nOWhnGzvllOe7Uzm9WgLQKWdVJMOHYNNSp9ifheLSgWNWwqvKBlOyrJRFqAoIkHb2xaCXneetR/DY/qKBY22YKEwLx8fkSIRFq5zfxuMTa0WfV7tGKtsUwc791CedYSTCedg4kboGEOnsD39lDhZdRr5wtpFUM+7QI9Fw7L4XCthzKhpRQPq4vbhHmNkzioEphmfSa73KzZlWKaT2mnrHTaVz6/3CrhrBhEehEDfd6/sII/6ccMu7eLAmYBBEOQp9fcdPT65i3bAvl4/o2mawia//YRUjX7Qn4A/aCtyM0HASfg5w9vy+t1UrzifEDu8MaZ36zeA7ew1R0+QaNEZF365KNNCpFpTLKN5gd9EySdZ7T2JRdnVM1q1JMq5nxVzSOYr/fftYrApe6X6HM/XYGpUqeecu24Gu0VjDV++q4dcnG8BDV0NlprAYjdXsAZfx1ovTBKPCmKyACMOKz+yi0aeyTDNrcE828ZVuCNn4wfFzD6hfQ++BT9D74FNWpMv+04MqerUbxz1u2hWL+HXMbF+TNDx3PF1Hna4xOezfLL6cjMSsZp1gul4NOlhQ6B13a3GNJvHM/peaf/dta3jlKK1L8O/bVOXME5YlX34kvIuwCCctWTAOJOsVaavZkip2Dh6kUR620AOKd+5X+Usp91zqL74+LtLxzlCwqfhFxi0iViLyQieNd2f4DvByIfzLkiVc/VmajSdgFYpWtmDKkaWbktLGLXfZknqy4bHHqSI/A7rz8TlIctdICcHLuV/pLHZl84t8cIjZoIRm+2Zzx3wh8lJEjvfBbZjTcQ2dXdKu8KDJd7jdJyoaUcP6wEtuyAQKMOa5r00DMlUygMqnbYRq8p11EJE/g4jAbuzz36/izJLuVx/7twdIQamYH4zGjA/tm9sgPe3dEmKfTWadItBKqU4VsG1qechHznciQTjvilXbwK9ihihNfGaQjwzfDZs+sKH4R6QGMBx5K+8E2LEKtfthZXRVvp7zy4K/4eKdtBUMFPLumusnBa7eS6dDTcPje8gWc979NcekS49RorLdu4ALGeGNEydzImXysk9pTFCwNIYYkiEAx/2bQmtvyR/kHHOnfStf42wcQMSpv+pXwDV3ZNOwORky4No2C5i9lQ0p4e9rpMZV/eGkH4d/+NmFK3iXQTfYlFwGUypVpFsyeWSnZICKLgTuBQ4D/UEpFNn1BRKYAUwCOPPLIYV9++WViBwmm+ju0aXu8Gamzn0pila41MRt3Xdn+A25X94d3kbL6n8O+N+uuX0njaRc/UkhcEKPkwTd05YiZ/0qdTGlmVeUD9F9zO96Q+vGxSjj7leCatS9D0uU/Tq4Bk9SWdxBjwpQK7AIuUlA+ImfKMovIOcB3Sqk1sbZTSi1QSg1XSg3v2tX5rAlw7Mg0Z1fb/V3yTumDMwevUobqfrRmJNN8k6n1dsO2oUzU95biSYGT8NA4dW7yzdk5YsK1bBp2B9/QNTiT/7zXRTTYXHrapp8YiSRcprS8Qyp9gVnoK52NBK5RwAQRORtoCxwqIk8opS5L2REcODKVgt/6fkWlv5SSYi9vDzw9ZYfPFOXj+obVLYnH4vqTebdoLG/PtPlf0+YATmDlEGfG/510IUtFmZNmxIRrIWCyMWVfVTk0aiVQpwrZNqw87/6/bJLINbBDdaGHhfKP19M4ilS3XrXr/Z3GQJOMz/iVUrcqpXoopXoBFwHLU6r0wfGdstJfmtf1zE0nV7HXednl6n11DJn9snUfAoffm1I4LksQ+ISzzcQdM8yiXhW0GGen1UpA2/QTx6p886g+nSy3tXL2JlzX39sp9dYBq0iwNPf1bpklG+zuoCFUqy6UFHvDSxvkKQcbEisDbJa1NTN8wbiAnHxvAHtUe2Y1XMHUgkWUyK7k0+ND8XayLRGhFOylPfPkau5sQYoxciWgZ/rJUTakJOoavr1iI0+891XYWKXfKO9gljDfoTozt2ESUwsWWa4ETBQgHXqmryR4ZEmVDJQfb5n1+DcsQi25xjaSx6/gJt91zP/vO1MiXzYZNWd5sP9uspQUe3l72ulx+8pCeA+DCa6V3Ov5S/JNRQBxF0Jh+0DpaOtzUSnoffCpFtlbVpM+nDp+J7hWMsfzkGUDd7+CJxrPYEbDL+iehxPFnHHuZoKKxlHsVe1jbvOiOiVD0qSXVJSRDu5j4CQYdAlR1d8QFEaT81ClP8fzUEJK36xGac41BIzQT7M+UBzypXKqJjdwer7E6ujlEvi5+w3Oda20roGVp7RIxT9v2RZm+q7Ab6NLdqgutMDwtwAAD2tJREFUXHxCjEJleUQqlGGHUB/Bpy8TrYQV39KV0vr5wW5lUwsWWc6QYtGIi720T3iFsJf2ee2L0WSHeBm+ArQrNN6v9JdSWj+fHapL1PlZJPX8oeBhVhbewGbXhZz23MhA7+k4yVYJJGVlugd4i7Tx79hXRzWlDGv8hMvdr4Y1ta5VhcxtmMT8sgHZEzCFJBrZY8W+Oh9DZr/Mvlofn7XdbjkbiAyjTCY0zo2fjtTE3zCEelXALN8VnD8y2o6r0cTCPF/mLdvCjn11tPW4qPM1+cMUUN/gxyUEJ4l253V7OcghYpRs7kgNmAttM1v9+Zua/FPeTtDvZ7D+qSazqZmU9dV7xuQqxJZf0Tgq7BqO8r2lgRY54zdnwTMaruYm33XBzD3TVLHm0DOyLGHqsGtKnUikDxgOXwXs8He2fD8yvjyZzkeNuBzP9pUynMj/4ZvCc/5SVnysa9NrEsfM8P1izng6tWsT9b7Pr8LWt3bndczz1u8LD0qo2wOrH7auRbX6kagM3XUvLoiauFlW100hLXLGXz6uL+XPrMfnV2H9aAE8bmFeCzMZWEU13BFY0VRUVXPT0+sc72tuw6RoR5fHy5vd/h/ySZMRyHK7ECJjo/3KmPE7RQRq/W2DpqV8aYmpyV3szqFQm/7chknNCliIT3TRt8n+J3iUkVFbpvOcb5Ez/rIhJcy7YFDUrLdjkYd5Px/UqkwGZUNK6FjkfPYf6ugyM3xXDZjFjC/6hZ2ylf5SZqgptnVQIouOuSTxPODQfsjasatpLnbnkDtEy1f6S9lL7MCQVNPdtdt6PI3nfMsM59SEYbaqS8QP4PW4+Oi/zgLsQ0bNG+u+Op/jOiiK8JghvwKXzexqu78LpfXz8Xrc3DlxQKu6YWtSj9V14PW4OX9YCc+uqQ6OxwrvTAc+l5fvGtvRjV3sUF2Y2zCJV9ynpeScb1XhnJpw4pVwtqLO5+f2CsPBZLfk3FfnY1+dkQzm1NmrFGE+l783/sSyW1I9BcxrmERJsVcrfU1KsPKH3TlxAHeUDQgr8xxZ1XO3v32KmrpY4/HXUSK7cAn0cO3ij4UP8/iIL9N6zusZfyshmUQvwVhuOvmc0xn/bn97htUvCBub4FrZ1CxbYD+HMKP+clYfekbeJcxo8hu762Rtm2vpJLFbt6YUbyejVHoz0TP+Vk4yjiIFjm8WVnVQrOYUh8gBJrhWho2ZzbJv9F1Htb8Lh6p/U16wiGHfv0L5M+tbRMKMJj+wu05m+i6PO+tP6Rw6Hc1eQtCKv5WQSkdRSbE3ymEcuTze7u/CD7SN+myhNDC1IPqENu2qPVxNS945noc4i7eYWbk5ZbJrNLGwu06y4fRNZxtSrfhbCU76lCayrxnn9ovan5n9ePTBJymtn08RByw/HxqtY2KVCVwk9UwtWBT0I2g06SZWdvhM3xW21TwTLu3shDTW49eKv5UQ6dhqzklavng9QNj+rLBLhvlGopPE7JzDVjcJjSZdxAp/jlXTx8n1pBTUqLZRn7WlJdXj12SP0CzGuycNTnoF4GtUzFu2JWx/Vr1PLZtde7x0n3gnWyM+Y3eT2KE6J5SHoNE0F6vVrEmsmj5O2Kfas89Jvao01+PXir+VErkCSJRIJ5iVKcmcIZnhcErBQdqEfcbErknGn/0XMuPcfklIqNEkR+S1Uez1RF0jydSqkoDvyq5elXmN7KALqwbMSms9/hZZskHjjNBSD4mGe0Y6wSILYrlEaAysZ71SH5zhtPHtM4pVAWVDJjHr+c3srfVZNsn4U+OFjP75r3U4pybjRJZBqaiq5uZF64ImmlhtHAH8NM2qI2f3drN9kUDS4sH5eN4X5vWs1kXaNOmlfFxfxzN/j1ssnWChph9/4AqwLN/sqwtGLITO5iOdw881jtJKX5MTlA0pCas5MrdhkmXZdxGju1+fg0/R++BTSZQpMW4mpjk1XWjFrwGME9vJSeq03pG5IrBdEgciFmI503R9Hk0uEXo+VvpLbSdKoQEJyVSxNfNcdJE2TUawctCCYePcOmc8W+eMp2r6mY5m4eYKwvbED4lYsHKmCTDmuK5ORddo0k6kH6s6RkCCid3KwA6XEMxzSefERyt+TZDycX3xWFRM+6G+IeHsWXMFYee0DY1YsKolpIBn11TrrF1NzhDq9AX7c3tuQ5NTttJfyt8bf5KQ8u8uu23NqalCK35NkLIhJbRvG+3vT9beWFLstczoneu5LipiYcXHO6NMTeluRqHRJIrpx7I7t82e1KFENoTa7W/PHmVf+O0b6Zz28vE6qkcTxr5a6yzZZOyNZlvISl9TMxwBLh16pOP96wYsmlykfFxfbn56XVSjJzustrMq/1xHId0n3knZwPQGNegZvyYMO7tiMvbGREw4qTyuRpNu4gVDOImQs1ox3FI/mYrGUakS0xat+DVhWCVieT3upO2NTk04qT6uRpNu7IIhSoq9fBEIhrDbxiQyhLnSX5oR82bGFb+I9BSRFSLyoYhsFpEbMy2Dxh67ZhXJ2hudmnBSfVyNJt04mawkM3HJhHkzGzb+BuB3Sqm1InIIsEZEXlFKfZgFWTQWWDVvTxa7Ri5WJpxUHlejSTeR2erdi71RjYPKhpQEs9OdkgnzZsYVv1Lqa+DrwPN/i8hHQAmgFX8LxHTwRvY51SYcTUvAyWRlxrn9HPX6NcczcW1kNapHRHoBQ4D3Ld6bAkwBOPLI6CgQTX7gZFak0bRkYl0Dw4/qlJVrI2s9d0WkPfAG8Ael1JJY2+qeuxqNRpM4OdVzV0Q8wLPAk/GUvkaj0WhSSzaiegR4GPhIKXVXpo+v0Wg0rZ1szPhHAZcDp4vIusDj7CzIodFoNK2SbET1rMRZYptGo9Fo0oDO3NVoNJpWRtaiehJBRHYCX2ZbjgBdgMQbbmYOLV/y5LJsoOVrLq1RvqOUUlGNLfJC8ecSIrLaKjwqV9DyJU8uywZavuai5WtCm3o0Go2mlaEVv0aj0bQytOJPnAXZFiAOWr7kyWXZQMvXXLR8AbSNX6PRaFoZesav0Wg0rQyt+DUajaaV0eoVv4g8IiLficimkLFBIvKuiGwUkedF5NDAeKGI/C0wvl5ERgfGi0TkRRH5ONBVbE4uyRfy3gIR+SQg5/kpks+yo5qIdBKRV0Tk08DfjoFxEZH5IvIvEdkgIkND9nVlYPtPReTKXJMv8P6hIrJdRP4nl2QTkbmBfXwU2KbZ2fFJyHdc4Lw8KCL/EW8/uSJf4L1iEVkcuDY+EpGTsiDfpYHfdaOIvCMig0L29VMR2RL47ac1VzaUUq36AZwKDAU2hYytAk4LPL8a+K/A818Dfws8PwxYg3HzLALGBMYLgbeAs3JFvsDrWcAdgecuoEuK5OsGDA08PwT4BDgemAtMC4xPA/4YeH428BJG2Y4TgfcD452AzwN/Owaed8wV+UL2dy/wFPA/uSIbcDLwNuAOPN4FRmdBvsOAEcAfgP+It59ckS/w3mPA5MDzQqA4C/KdbJ7zwFkhv68b+Aw4OiDb+uZ+f82+8FvCA+hFuGLdT5PjuyfwYeD5/wKXh2z3GjDSYn/3AtfkknzANqBdBr7L54AzgC1At8BYN2BL4PkDwMUh228JvH8x8EDIeNh22ZYv8HwY8A/gKlKg+FP43Z2EcZP3YkxCVgM/zrR8IdvNJEKxWu0nV+QDOgBfmNdUuh5O5QuMdwSqA89PApaFvHcrcGtzZGn1ph4bNgPnBZ5fgKFcwbjTThCRAhHpjaEIeoZ+UESKgXMxlG5OyBeQCeC/RGStiDwjIoenWigJ76h2uDLabAJ8A5jHK8G4CZlsD4zZjeeEfCLiAv4MhJkIckE2pdS7wAqMlqZfYyiJj7IgX6L7yRX5egM7gb+JSJWIPCQi7bIs3y8xVneQhmtDK35rrgauE5E1GEu0+sD4Ixhf+mrgHuAdINgwU0QKgIXAfKXU5zkkXwHQA3hHKTUUwxTwp1QKJEZHtWeBm5RS34e+p4xpSlbjhlMg33XAP5VS23NNNhE5Bvgxxm9cglHy/JRckc/JfrIsXwGGOfWvSqkhwA8YJpisyCciYzAU/y2pkiGSrPbczVWUUh8DZwKIyI+A8YHxBuBmczsReQfDbmeyAPhUKXVPjsm3G6gFzG5nz2CcWClBrDuqfSsi3ZRSX4tIN+C7wHg14aukHoGxamB0xPjrOSTfScApInId0B4oFJEapVSzFESKZLsMeE8pVRPY50sBed9qjmxJyJfofppNiuTbDmxXSpmrkMWkSPEnKp+IDAQewvAR7g4M2/3uSaNn/BaIyGGBvy7gduD+wOsicwkoImcADUqpDwOv78CwFd6Ua/IFZhXP06RYxwIfpkgWu45qlYAZmXMlhn3THL9CDE4E9geWvcuAM0WkYyDK4czAWE7Ip5S6VCl1pFKqF4a55/EUKP1UfXdfAacFTHwe4DSg2aaeJORLdD85IZ9S6htgm4j0DQyl5PpIVD4RORJjcna5Uip0QrkKOFZEeotIIXBRYB/Jk05nRj48MEwzXwM+jDv/L4EbMWbKnwBzaHKk9sJwzHwEvIpR8hSMO7AKjK8LPCbninyB944C3gQ2YPgfjkyRfKWB/31DyP9+NtA5cJxPA7J0CmwvGE7oz4CNwPCQfV0N/Cvw+EWuyReyz6tITVRPSmTDiPp4IPC7fwjclaXv7ojAOfo9sC/w/FC7/eSKfIH3BmOYSDcAFaQmoixR+R4C9oZsuzpkX2djXO+fAf/ZXNl0yQaNRqNpZWhTj0aj0bQytOLXaDSaVoZW/BqNRtPK0Ipfo9FoWhla8Ws0Gk0rQyt+jSYCMSo1Xhd43l1E/n97d4/SQBSFYfg9FlpYu4JgIQQV7FyFCFaiCGJpKbgEwd7CLWhpbyW2ugBxB6IEhDQ5FncwMUE0ojFw36eaYX64zRzuDHO/c/nfY5J+k79zSkOaXJWrzGz/81CkP2FkgzTqBGhFxB1lkc1SZrYjYg/YAOaBRUre0SywA3Qpi5KeIqJFWWi1QInKOMgSsyFNBT/1SKOOgYfMXAWOho61gU36ue6vWYK9boHd5pxz4DAz1yjxDmcTGbX0Tc74pfFcZ2YH6ETECyUDCUqEwnKTxLgOXES/Cdbc5Icpfc7CL42nO7DdG9jvUZ6nGeC5eVuQppKfeqRRHUqfg7FlyVt/jIgteO+Tu/LFZdJEWfilIVly0G+iNLg//cEttoH9iLjnY7c0aSr4O6ckVcYZvyRVxsIvSZWx8EtSZSz8klQZC78kVcbCL0mVsfBLUmXeAGPBPh0MHLYWAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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YzH2Tyn0gke0YCkehkri8RPUMUdVmEbkUQFV7RCS9rBCDwVBQkk0S2kpkWH0gqVWvke2YSJ/CUogkLi8W/+ciMhjrOkBEDgM68iqVwWDICi+ThPOOG4XfJxltx1DeeFH8PwZWAPuJyNPAbcCFeZXKYDBkTEtrGz5xVujRk4SzGhs47ZB9SKb6TSZvZeJF8b8MHAl8FTgfGA28lk+hDAZDZti+/ZAmlmSOnyRsaW3jnjVtJCve3NbeZeL6KxAviv8fqtqjqi+r6gZVDQL/yLdgBoMhfZx8+zanTIz1HSdbNxoT1195uCp+EdlLRCYCARFpFJEJkddRQL9UGxaRW0TkIxHZELVskIg8IiJvRP7unpP/wmAwAMl98itf2+J53Xi6giGaVrycsVyG0iKZxX8c8GtgOHA18JvI68fAZR62fSvwjbhlC4DHVPUA4LHIZ4PBkCOS+eTjFX26/vv2rqCx+isEV8Wvqn9S1WnA2ao6Leo1U1WXp9qwqv4d2Ba3+GTgT5H3fwJmZSq4wWBIZN5xo1wna+MVvVMJh1SYbN7KIGUcv6reIyInYk3q9o1aviSD/e2pqu9H3n8A7Om2oojMBeYCjBgxIoNdGQzVx6zGBla/s43bn303ZtLWKfvT9vfb2b0DA/6kmbxgwjsrBS8lG/4by6c/DbgJ+Hfg+Wx3rKoqIq4BBap6I3AjwKRJk7x1jTYYDFwxayyTvjjIU013p5r9nyQp3zww4M+LzIbC4iVz96uqOk5E1qnqYhH5DfBQhvv7UET2VtX3RWRv4KMMt2MwGJKQafbnohmjk7Zs/Ly7h5bWNpPNW+Z4Cee0x3adIjIMCAJ7Z7i/FcBZkfdnAfdluB2DwZAHomvFOBEMqfHzVwBeLP4HRKQeWAa8iFW64aZUPxKRvwBHAUNEZBOwCFgKNIvI94B3gDkZym0wGBzIRds+e/2L7lzr+H1bexf7LniQ3fv5WTRjtLH+yxBRhww/15VF+mBN8Pao6ud5kyqOSZMm6erVqwu1O4OhLIlv2wfWpG661R2dtuOGv0ZY9u8HG+VfoojIGlWdFL88qatHRBpEZJKI1EUWDQQuAd7Ig4wGgyELctW2z2tGLxjXT7mSLHP3ImAt8DvgWRE5F3gVCAATCyOewWDwSq7a9uV7fUPxSebjnwuMUtVtIjICqwHLFFVdUxjRDAZDOrjV1083QzdVnf54TIhn7snFXE0ykrl6dqjqNgBVfRfYaJS+wVC6OGXiZtK2L92MXjvE05AbvHRPy5ZkFv9wEbku6vPe0Z9V1dTkNxhKiPhM3GyjeqIzekVwTeyy/fxmgjc3eOmeli3JFP+8uM/G2jcYSpxcte2L347tenBzAZnG7LkjV3M1yXBV/Kr6J7fvDAZD9eAlvNNuzG6s/uzJ1VxNMrxk7hoMhirGS3in3ZjdkD25mqtJhpfMXYPBUMV4deOYsM7ckKu5mmR4qc45RVWfTrXMYChF4sPiph04lJWvbcnbDVWJ1Ig49vCNx4R15o5czdW44cXV8zuPywyGksIpLO7Pz76b1zC5SsSL0gcT1llOuFr8InI48FVgqIj8OOqrLwDpte0xGIqAF990rsPkikm+kn4aPCZ0mbDO8iGZxV8HDMB6OOwW9foUqxmLwVDSePU5V4JvOp9JP+kkdFXCsawGkoVzPgk8KSK3quo7BZTJYMgJXloJQm7D5IpFPpN+nCYbO7t7HBO6KuFYVgNeonr6iMiNwL7R66vq0fkSymDIlpbWNjp2pFb6uQ6TKxZOlvZM3yrmdzZD01YYOBymL4RxmbXAcEromnfXSwTDu/z/fp9UxLGsBrwo/ruA/8ZqvuKtVqvBUERst0eqOcmGCorqiU/6melbxVL/TfSTbmtBx3twf6TKSobKPwFJ8dlQsnhR/D2q+l95l8RgyBGL73/Zcz35SmHecaNismvn1zbvUvo2wS546BLr/WNLoGNTxiOBZQ9vJBiKfbIGQ8pPml8CqIiHadFY15z1+UmFF8V/v4hcANwL7LQX2pU7DYZSoqW1zbWYWDz2BCiUv6JK8MP7tjqv2LUN7vsBhLIbCbhN4oZUK+aYFoV1zdb5CEaObz5GanhovSgibzksVlX9Us6kSIFpvWjwQktrGz9pfslz3LlNQ32ApxdU2JTVb8dYSsMrA/eBizd4Xn3K0seThnjWB/ysXXSs9/0bLNzOW5rnxyaj1osAqjrS4VUwpW8weOHylvVcdOfatJU+VGgI4vSF6a3f8R40DbRevxppWZ5JSBXi2d4V5PKW9enJYLDcO+ksz5CUil9E+onI5ZHIHkTkABE5KadSGAxZ0NLaxp+ffTfj31dkCOK4ORAYlNlvbXdQEuU/q7GBUyYmd+Xc/uy7JpM3XQYOT295hngp2fBHoBsrixegDbgip1IYDFmQTVVIAaYdODR3wpQSx/8q89+Guq0JxiSsfG1L0u8VuOjOtUxZ+rh5AHhl+kLwxxki/kD6I7gUeFH8+6nqVUAQQFU7MYFbhhIiG1eNAvesaatMxZSN1Q8p3Qtej7upiZQG4+bAjOssnz5i/Z1xXc6jerwo/m4RCWDdI4jIfkRF9xgMxaKltY0pSx8nfa9+LHaGa0Vy/K/I2E4L7J7063RcZBV9jHPNuDnWRG5Tu/U3x0ofvCn+RcD/A/YRkduBx4D5OZfEYEiD6No0uaAiJ3jBUhqTzsnst93bk/r5023KXrHHuAxJGcevqo+IyIvAYVimw49U9eO8S2YwJMFLklY/v48+/hraO4MMDPjp7gnRGQw7rluRE7w2J10NL99rTdqmQ6gb7v0+LJ9rTS4ecCy88bfexKJZ0xfC7CkxTdk/3REk7DIEq+hjXGZ47cDVgFWKuRb4moigqssz3amIXAyci+U+Wg98V1V3ZLo9Q3WRKknrmtPGJyQP2SMEJyqlXk9Suj7J7Hcaebh2vAerb961PJJYNGvGdcxasMsVMXLBg66bqvhjXEZ4Cee8BbgFOAWYEXllHM4pIg3AhcAkVR2D9UD5ZqbbM1QfqXzFTt8nq83f118FradThQNKBi02oktARHCz6sWEg5QUXq74w1R1kqqeparfjbwydBr2UgsERKQW6AdsznJ7hioilV/fyZeczL/8SWew8qNOUoUDaoa1jbq2xcwDuPn9Van8Y5xL1jVbWbxN9dbfFAl16eJF8f9DRA7K1Q5VtQ34NfAu8D7Qoap/y9X2DZVPTQrz0cnqTOVfrviok3FzQPI0somK95/V2MCVs8c6nqOKP8a5wq7X0/EeoLvq9eRQ+Xu5Em7DUv4bRWSdiKwXkXWZ7lBEdgdOBkYCw4D+InKGw3pzRWS1iKzesiV5okhJkecntSF5D1i3hCwvESgVH3WizhPbWRNVW+bylvVJ6yVV/DHOBY8t2VWkzSbYlTKhLh28KP6bge8A32CXf39GFvv8OvCWqm5R1SCwnF1Zwb2o6o0RF9OkoUPLJLOyAE9qg1VUzQ23hCzbEk3224qPOhm4T542LLCumctb1vPnZ99N+mCu+GOcCwpQr8eL4t+iqitU9S1Vfcd+ZbHPd4HDIjWABJgOvJrF9oqDk2VfgCe1IbX17uZSmNXYwNMLjuaa08Yn/L6iSzfYOJUDyAkKjy3hL88lrwZaFdFTuaAA9Xq8KP5WEblDRL4lIrPtV6Y7VNXngLuBF7FCOX3AjZluryi4WfZuZXBzXFmv2vFivSdzKdgFxqK90BVdusEmvhyAv3/utt2xKaml31Af4MrZY02Nfi8UoF6Plzj+AFaJhuji2orloskIVV2ElRFcenjpfvPQJc6WvdQ4R0fkuLKeYVcPWLe68KlcCitf25JQ6qErGOLi5rW92y8nWlrbYpqhu7aUHDcn9np+4Mew5lbrupUa8PeF7s/TFyCwOzU7xVH514hUXr+DfGKfnzx24fKi+H+qqi7tfCoMp+43y+fCu8/CiMMiJyLJcFZD1pM5+qGQh8p6hl3EtxwEby4FtxGBKsy7u7zaB9rJafYxSKuz2ElXWy+bdc2w/Lz0hejezpUHvMr81w9M+Opbh+ZrbqGCGTeHllAkK/rDLob9NcC8UFvOrkkvrp5nReQuETkh4pOvXJx89KiVsXjfD1J3NLIr6eW5sp5hF9FuH8G7SyHZiCAY0rIKO3RKTss4dDLTip6hbuZ0/JEzDhvRG8pZI8IZh43gillj099elRNdi0rJfYVTL60XBSsS5xxgMtAM3Kqqr+dEAg8UrPViUz1kU+tx9h+Mki8TWlrbuOjOta7fC/DW0hMLJ1AWjFzwoONVe7JvFdcOvT99d0H8yNczYlWUdMGzO8rg6sJMt01oNq0XVVUfUdVvAecBZwHPi8iTInK4ZwnKgWx88YFBRumXEbMaG9i9n9/1+3IKO3SSdaZvFUvrbs4stDjTSeAk90++LdhKw80Vmas8CC+1egaLyI9EZDXwU+CHwBDgJ8AdOZGiVJi+kIxql/sDSbsd2XXjRy540HQjypJcHstFM0bj9zmf787unrI5T07hrZf4mwnEt81IJ7Q4uiZ8Pw+uH5e5rJbWNsYv/hsX3bk2d+6oKsDN8MiVQeKpZAPwBWCWqp6oqstVtUdVVwP/nRMpSoXe2uVxysDnbhkCSf34xtLJHbk+lrMaG1h26sHUBxLPbznV73Ga5xgmLvEYmYQWJ53bcp/LamltY95dL9He5V5J1WTyOuP0MM9lHoQnH7+qqogMAFDV7TnZcxoUzMdvs67ZCtm065cHBkFop2OYW0gFEdgR2It+xy+hJTSFphUv917sgvOsQbq+OkPu/J5ONC75m2Op57I9T78d46ywB+5jWfLpsHiQSxE3sdw7LnMIbucrmrI9vgUgF3Mibj5+L+Gco0Xkf4BB1nZkC3CWqqZ59ZQBvTH87xFj9fc2sEhU4zVife7X9T477/0PngyeS3vPlN7v3R6rbe1dTFn6uJnoSgM3JZKW1eiQp9ESmuJa379cLNJ4JXHNQT9k8vpFuQktdq3cqbseLvYcgs1jS3iq6z021w3hqp45rAhPTfi1yeRNjp2rkg+8uHpuBH6sql9U1RFYvv3yyrT1Qkw2Ljir7OSjoz66k5/47vS0OwHj/kmDltY219kXz35Pl4zrtQ+6X87lMMnr5AI784Uv8sLYxbkJLfZa48euzx85xj6B4b6PWeq/iZm+VTGrimAyeYuIF8XfX1VX2h9U9Qkgh7neJYJjDH/6DBNvXSmdskbNRJc7yx7e6PrY9Vxjx6WW0rndf3b9STlYpG5x/Be9ckBumnanU+Ona1vCMe4n3SyqvS1mmaoltzF2ioMXxf+miPxMRPaNvC4H3sy3YAUnh/V04q0br5SLW6EYJDs2nmvsuJzjYT7nidD6gL8sLNJ8h/4lhHcO3CftJK9Bsj3hvjAj3eLhRfGfAwzFqs2zPPI+2w5cpUeO6un4BH7r/6+MlP9Ah+gSg0Uyl4vn0ZLLOe7w75HgRgr4a2iaOToNCYtHvkP/gNjwzos3WOHLqaLdohCBRbW3saruQt7s821W1V3ITN8qM9ItEl4SuD5R1QtVdULk9SNVzbBzcwmTxnA2RSAUNaL82n9j2sr/8zKKHS80qUoxe7JuHc5xT01ffrHz1Bg3kgCnTMzfxFquyXfonytpVnAZJNsZ7vs4wfdvRrqFx1Xxi8j9IrLC7VVIIfOOHb4Z7ZsMDMItmUuBTeEhSR8AddLDtf4bei0bLwRDStOKl73LXUUka+kHHq3bcXPg4G/vaiwuNdwXPoq7u2P7AClW9c5yIdN6RVnx2BIIdaf1k/hT10+6mV/bjAL7LniQxiV/M4ZPgUgWzvnrgklRTNY1Q8sFEI4L5+vaBkMOhI9fS/hJGB9X9VgTZdf6b3A1fERguFiWzcTQ60z3rWWYfMxmdQ9xa+8Ksu+CB2kwIZ4J2Mcik2qcgHWuX7pjV3iihjheH+dJ35cSzoUdblsO58AO5Zz06SNc2vcu9tzxMfLEcKjJbSnfGHI0JxadaPZJZ7DsKqOWK64Wv6o+ab+wsnc/AbYB/4gsqwweW5Ko9G0+3gg1fRIW10qY+bXNrAhP5RMGpNxFP+nmOzWPOg5z3TATX85kZd06RPXYVqcT5XAO7FDOiZ8+wpX+m9iLLUgh2n7maE5ssw6O+TQRrXgAACAASURBVFxulVHLFS+1ek4E/gVcB1wP/FNEjs+3YAUjqeWiVsauA7al0hQ8k52avIk3WJO+0SRTODZm4ssZu4XiW0tP5OkFR3u3Dt2ietzKGxAJi7xzLZe3rM9E1Lxjh3LOr22mn8S5XoJdcO/5+VH+OWjjuFNr6Cc7YiZ7wUS39eLU3jVHeInq+Q0wTVWPUtUjgWnAb3MmQbHJ0HKxLZUV4an8b2ga4QyqOSdTOL37MTdB7nA51zv67ZW0jSPAn599tySVv319uOaPaNjqJZFr5W/Pl6RZ1LAHH2EVtoYHIAiDZHvCKLgckubyjlt71xydRy+K/zNV/WfU5zeBz3Ky91Jg+sLkYWmBQXQR6+7p1LpeHz/AdN/aBIs+GrdJ4PhhrhPmJsiSaKup+3OoqYtbQeg3+gSeXnB0SuWfqpl4oWlpbcMXmWDarEPcVwx1e6/KmQ5v/I20+lf4A7ROWMro8P/SRV/qpCfma3sUXPFN773gkmyYq/PoRfGvFpG/isjZInIWcD/wQrZN10uGcXNg1g3ONccj5ZYXdH+PTeEhhFXYFB7CguC5MZOBbtaWqvVymvyNf3g44a+RssgcLVniraaubRDqiVtJrQnfdc0pQ0aTNRMvNLZv35bpqp45ycOMc5igmNE2IyUjJs88nytnj3VNmhsmWyu/6b0X3I5tjs6jlyJtfYEPgSMjn7dgNWCfQZZN10sGuwG1S6P11X8dwtT2xAgcm806hOEOyt8t2qdHfSwIngvAqroLXSN9+tfVmugGrzhVVAWHMhzhxN9GLKlZkaqVbp253EJJi0F8mYYV4ak0cRuDcCmem6PJ2IRtpmpHCgkVQWc1NsATzr/9RPv3zm1V9bXvdmxzlWiaagVV/W6SV2Vl8MZnJ0ZC4VJZgr8Jn5YyqSsaX2R4vNR/U9JIn44kdcwNUdghub1VVLHeR39ORcSSmtXYwBmHjXBcpZSahjvN/bgGGtTUZVaVMxVeJ3idrFQXF+tussMkdYHzsc20uqoDXqJ6RorI1SKyvGITuFIQH0JYH/Czez9/bzjhkaf8gO66es/b26yDafLflhCFER/p4xMxQ94ISTtvJQvJ9Upg9963V8waW/JNw+sd2kauCE9lXvB82tkt9ou61CHHGRFfw0dcjKNoKzUy56LL5xIKx7vdrMTH+bXNZm7LqT5SptVVHfDi6mkBbsby7TuMk6uDlLWxa5Z5alCtCm/qnhwhzhm60ZE+IVUuXb6+d//VyuUt67n92Xd7pxHt+HqIHJdc+D27t1tKadwcWlrbWPnaFsKqJZlI19LaxvYdiUoTLOUv3XBt/z/uuha7tu2qlZ/rhC7bTQrW8bvvB7EZvVJjTao31VsP1+7tEOpGALcx9DDZSntnNy2tbSV13AtO9LHNMV4md3eo6nWqujIuqcsQTcwT2h0RmFrzsqv/Pz7Sp9pj+Vta22KUvk3MccmF3zMS+VIOrTKXPbyRYJL44Uvr7sprREhS4n2eGoq43OzJ9dRlHjbrYD7vDjHv7pdK6rhXEl4U/7UiskhEDheRCfYr75KVI/YcQYrYZreDrgqPhccnLK9mf2eyOvy9xyVX/uuO9zjsviM5JhRr13QFQ/ykuXSUULLrIeCvYU9cYvrzEdkTTQ5cbuGoe8Bk8eYPL4p/LHAesBQrmes3VEsdn0zJ0AIVgVNr/p5QyqGa/Z3JlFzvccnhcHgvtjiW07DdbqWg/N2uhxoRrpw9FnG7/vIR2RNNhg+W6EGCL+4eqGajJ594UfynAl9S1SNVdVrklVV3ZBGpF5G7ReQ1EXlVRA7PZnu5pKW1jfGL/8a+Cx7MvGJgqqQw3JO64id4hTQ6TFUgbkruZN8qHpELdqWzp9kYJBlu5TRKxe027cChjv0DfjPnYMsnnueIEFeyMHiiiT7+1Wz05BMvin8D4D1kxRvXAv9PVQ8EDgZezfH2M6KltY15d71Ee1QYpV0xMG3lnyLmW8Rd+UdP8CppdJiqQJxCaU/2rWJZn5vp1/U+vensOz9zjypxo869g6hbOY1iW6AtrW3cs6Ytef+APEeEuJKD+j02w2SrSWDMI6IpAtBF5AlgHPAC0FuxTFVnZrRDkYHAWqxRhKfo90mTJunq1asz2d0uXJKzopmy9HHaXG7shvoATy/wOND57RhviS0u9KiPHwe/z4rwVGb6Vlnhbb6t+FzkrnTsssOb27sYVh/gEbkgovTTRHzW09Y+jgD3fn9XmeYotukAOrVvQnJdfcBP/z61vbIUOuLH7RpN6/rMJ/H3Wdc2K6onTT5hAE+e/Hx1R/XkABFZo6qTEpZ7UPxHOi3PNLJHRMYDNwKvYFn7a4AfqerncevNBeYCjBgxYuI777yTye4s7NT96EgHfyDBChq54MGklUd27+dn0YzRqS/Gpnq81jBxK+kQVlgVHs0k3xsx8f49NX2pPfl3Vaf8Y2gamNnvaurg5P+7K0s7SfitEjtF36l13BX6WkJPhUdqjsx/05Mo3K5RAd5aemJBZEiLB34Mq29O+2cKvPnFb7Lfd3+fe5mqCDfF7yVz90ngbcAfef8C8GIWstQCE4D/UtVG4HNggcN+b1TVSao6aejQLH3cHgsepfInenb7pOHrFHF+RPgEjvC9nJDkVRvaQedDefbVljrpunRsoouVOV0T0buI++zWU+GY0JMF9fsXpL9uLnnjbxn9TICRb/8vL6wwij8feMncPQ+4G7DPQANWUlembAI2qepzkc93Yz0I8ofHgkfzjhuFP1mZTTyGmDn6Ot0Ptdse3aYJ+nZ9kHz/lY6Da8Yz9jnPIALFraeCm3swHxStv26mZBFC6hPYe/VVpi1jHvAyufsDYArwKYCqvgHskekOVfUD4D0Rsa/U6Vhun/zhMbxtVmMDy049mPpA8oiclDe60+Ta7N8nnUxMh83h1OWcK5oUSXLJfzs89m+WDJOtCBRMKRWlv242ZHmc7Un2jIMsDI54KdmwU1W7JWJ+ikgtaRXhduSHwO0iUodV3/+7WW4vOQccC6tvIUHsrm2Wv1hqUA3xPkN4vHsO7eGpSOLavXiq0eiWbu2hrEM0YY21NDu1jpvqzqDJ8xYqkOkLnfskpyI6pHH6Qlg+l2wv5U+0PwoFrSaZsnxIKZHpuYoQRpjpW8WK8FSCIeWiO9ey7OGNJVdGo9zwYvE/KSKXAQEROQa4C6tuT8ao6tqI/36cqs5S1U+y2V5S7AbbTje4HW2gIQQYxq4KmcnUgZKhhRc/EkhBp9bxP6Gvx/QCWKhzGX/i3PT3XUnYPRScYvcDg2DS93aNCuz5gPiQxnFzYNI5pNNByikOwlSTTEGycxWH0/GtlXBCQl0pltEoN7xE9fiA7wHHYt0lDwM3eQ3FzAUZh3Oua3YN10vGpvAQpnZfl3SdrMLnekPenEM+7SP7CQNoCp7ZW6O/RoRQiRYOK1vSuEZCKtRI4mVvXy9FPS8ewpVLBpdw56AvQG2oy3Fu67NwHzrYLSaias0XjimNENYSJuNwzlIgI8WfIlwvGWEVvrTz9qTrZBw+l0EYYXzHL3v/ClXxEIiO4z9rwPPM999Jv64PcqfgHvixsyswirBax9xJKalav9ysQ/hN+DSOPOUHhT0fHsOVSwYneX1+Qgo16uwSig97Div8OfR1zrzinjwLW95kHM4pIlNE5BEReV1E3hSRt0TkzfyImUNShOslI6+9cDMII3QqHxBforhSh73R1TJn+FYxP3hDbMZutg2oHV2BAkMOJPps+FzCbsFSSHaI5y9q/sBz9/135vJkQp77s+Ycp+CHPru5Kn1IfOD6BM6ofTT3TeSrBC+TuzcDF2MlWmURR1dgsigYlaoXblbhcxnI5dbT16aSW9VFtxicX9uckNdAsMtquZipZev4IFb4+LWEVW3ln2xWoJ9084PwHcDPM5PHA/GZzKt2bHKWKd/VOLMhPvihKf2qMD6wzl8pjmpKHC+Tux2q+pCqfqSqW+1X3iXLllRhZOL8r2/TAQlulfiOW1mFz2UY3hZfLTKeSp1cjP6/XB+AXdsyt/zSVI62glV1r7XUkOJBnQ1O/QI+UZcOW1FdxUqeDO8LLeWHWwnjRfGvFJFlZVeP361C4ew/WK++9QlD906tY3HPmTHLGuoDrF10LK0Lj+WtpSfy9IKjs7OsMyhk5RMc3T3RlGzmZpZE/1+bdYj7ipm6NXJUUTKaEL5E19sDP4bFg6zw4cWDrM9p0tLaxk+aX4ppsg5QDvN0KZm+kJ6avmn/7EOSXBMGV7wo/kOBScAvKad6/G4VCsHyC3dti7HetumAhEnUvGRExssVGGTVkEmBW7VIKPHMzSyJzlS9qmeOe1P7TC2/HFaUtPERjk02suvV2JFDGrI+p6H8bUs/5HAAdpftzj/qyl+UdM4ZN4fak39HZ2BvwgifhfukzLDo1Dqu7D61IOJVGil9/Ko6rRCC5AWnJKrfjknw6YpAZ7gvf+8zjd0F2juD+a28GC9XdCie+BxDCz9RK+t3pm8Vi2pvY1DkZm+X3fjnhJ8xufEbuZezBLCP/7KHN3J/+1SWyP9Qz2eJK2aaIWqfhyThtemiCMfrU1zcbKmuWWtudV5xza1w0tUpt2db+tFKP/46cCTfjVdyzbg59AN4bAm7dWyCwCBCXZ9Q4/AI6FEfC4LnsuYLxxRczErANZxTROLNEQU+Blap6lv5FiyanJRltnGt7CjQ1J6bfWTDumZYfj7xfe27tZa/hI7imzUr6SNxQ31AJn3PkxIpa9Y1WxO5Xdtil+cqdHFdc1ZZptFoXJCQq2eoqSPmY/zE7bQDh3LPmrYY985M3yqW+X+fcB3EUMrhnG44hHkGVahFY1xrdohzoSujliOZhHPuFvf6ApbL5yER+WZepMw365pxvQVLyjoKJyypkx5Or3nc8WYXsOLQKzm0zVYK8Uo/MCh3Cs4xy9R7Zm80IlEv15Vii605Tdze/uy7CT79+bXNyZU+wMHfLi+lD44RVn7RhPj9u0Jf40E9wij9LEg7gUtEBgGPqmrBJngzTuCKz2RMNpwvFYs5SRMXt9r9vcQ3Gim3G98B2wK+s/M8hvscomUG7hNpcJ8nskgETMnII2Hbm73XaNPnp3Dr9kNS/uytPt9O1eAt/8clH3jsY9GjPnyE+UiG8t6EeUyeeX7+ZStTMk7gikdVt5GpGVQo7Ju14z1iEn2S+XBfuqM0LOYkk5Qpb3YNk7PEphIg2gJ2DeXMdzifPRmfS6TGUvqbno+5RucHb0gZtpuqjlQv5Rjm6HHUXSthfAJ7sYUxay43NfszIG3FLyLTgNIOF3DLZEzWwKNUMh1z5XIqlf8nC+zkLUvZFdFFN25OdqWgI7SzW6TgXpjw208lXKNuWdrRzK9tTugL4EhJuS49kkGEVUC62efFZXkSqHJxVfwisl5E1sW9NgG/Ai4onIgZ4GbtaCj5hVUKVpLHi9+Th64U/p8s2Nze1TuR6VQcjZq6XWWW842H85IsqatHhX7aZXXwQvFp4jwOJA/btb73kBxWyOOSS6JCncMqbA0PoFtTFxfYQ/OXMFepJLP4TwJmRL1OAkap6iGqmpjPXkq4Nl6JxPK7Wf6lYCVFLv4PGEpYhR5Ne1C2i1L4f7JgWH0g+URm3YDCzWM45F8EfQEUS9m3sxtv7vtNOmS33gdA9KsGpU56Uu4mVZ2opElsYE1M232Fy5Fxc+DiDRwRWM7injP5TPv2HsOQOg91Nutgpix9vLzrVa1rtub3muqtv3l207o+TlU1i+7mRWb6QudqhdETnm7flwLj5vBsaAqXLl/PMaEn+Y3/v/DHWbwiKSZ7S+n/yZB5x41iWEsSC7jQCUpx+RfRfdrq1zVTf/+FQFfGM2CdWpeyTtRVPXNY6r8ppmZRT01fak/+XfkqeweuOegNxqy5iUD0/6k+QioxD1D7mNnFCoHyi/SJDyCw5+ggb+c0C3OyhImxzgDEOqjLz4NfjQTghbGLe63qDxjKC2MXl9SNM6uxgdsmv8NldXdR6zKd56r045uOlCmzGhsI1rnlXVBaI5oMq8GGVHqb7CwIngvAqroLebPPt1lVd2HCZO+K8FQWBM+15goQOgN7V5zSB5j8r9/FKH2APhJip9bQo77ICADC+LjGfwOr6i4seOP7nFGE6qpeqnOWJ/aNEJ+Q07WN0L0XcGfofO7uvrZ3sTwDp4fXc8WssQUW1IV1zUxev4h0LUgFpOO9XRdNOSuEdc30CX7q/J2vprRGNJlWgwU66M8w+Zhf1N7MANnZ+0AfLlZHOILElBKZuv8QhncEoAP61VXoLexyPKOPTw0wgB3ArmO14FOAMmvO4nbt5HGOrjItfpvHljhmYdZokIv435hlCtz+7Lul4yfM0ILsfUZUQkjnY0twSmYDoM/A0nqoZTj6qBVlkGzHJ7Cbb2fCKC460scncNWXX2PO+8sSQ5XL+Tw74XI8k4U028eqZO5hr7jOSeZvRFvZij/JE9MpesJuml0SeHjap4zsKfeQzmTHoNQKkOWh2JvNcN/HvL3nJbzZ53TmvPeL8mq6kikZHs8G+ZiTWw5CFw2kvWl4ecT4u1USzuOItrIVf5Inplv0RMnUtU/xtP+cvnyOhzK25RzSmewYlJJ/H3rnlaw4fXr90LlBdln4br2By/k8O+FUXddDw/boUhn1fMbBay4rfeXvVkk4jyPaylb80xeCz5+wOCR+1+iJkqlrn6yfQFMHj5z8Ij8LfY9OTVHSuZyaccTjcv5KNk593BxO6/cHvrTzDvbf+Wd+FLwg4fxk9jDw8KNSexDmgkhoJ03t1t/jf0W6IVN10pOY4LWu2QryaBpovX41sviusvj/Nc9uzMpW/E5FtwKDeLHxFzwQ12ULwF8jpVPX3oMV8IBO5a7Q1wgn0wvd24t/UWeKy/kr5Tj16P4BMRE4kcidp8Kjk5+vKLyuVwmhu54YNwcmneOtZEUUMQledgXW6GJ/Xdvgvh+U732SAWkXaSsGuSrLbBf8anNx59QH/KxddGzW+ykEU5Y+Tlt7F6vqLnQuXhZNrgp2ORW+K1EFXEySXWfJzldIoYMB1LMdxZrMTWnfDtyn6s5D0xWLOLf7zzTIx6nrV2El19U3RVxhSYogAuDvD8HPrfeBQdYoo4yPbc6KtJUr0QW/3Ojoyr4Oe6Gw5yI8pfB3vBdrzWSSJehW+K6KrCSvzGps4OkFR3PNaeN7rX+bZOdLEJqCZxKkhhovSh+qTukD/Gn7ISkT3aIZyGfwp5nWh1RzIbbSh+xHAgXOxk2HqlH8dsGvZJSMf98DtqwpU/htbCWdqQIvQpJJuTOrsYFTJjbEKPBk52uzDvZWaz+aKjz+Zw14nqX+mzxZ+2A9QPWtJ61Wl+nOhYS6MzvGJW4oFU3xi0iNiLSKyAOF2J+XaJ2S8e97wPYlX9UzJ/UEL1hK+qFLrJeTAl9+XnKrpAhJJpXAyte2xPikr+qZw05NrBWlaoUiNngZwUVThcd/vv/OmJIVXuhtVjR9Id0kqdLrRCbHuMQNpWJa/D8CXi3UzlJZ8/UBf1nV+LCtyftjJhBTRI10bUvsYBVNMqukCEkmlUC8wbEiPJV5wfOtZuJR5yo6DDEtqvD49+v6IMNfWgd8Xvf5rgXfHMkkMq7EDaWiKH4RGQ6cCNxUqH1OO3Coq8804K+haeboQomSM2xrckV4KlO7r2OzDklfccTjZpXkOsnEg//zhRW/54Om/QkvGsgHTfuXfjy2A04Gx4rwVDrYLftzhcAB5RGMkFOyeNjpPedxjf8GuqjzHlrbtS390M8SN5SKZfFfA8zHNR8fRGSuiKwWkdVbtmzJamctrW3cs6bNMQxMgFMmNpSVtW8Tb016muj1gpNVksskEw/+zxdW/J4xay5nL7aUdbel6PBOG79PcnSutHQ6xxUSByMkXom7KXV7VDVAdma2b68TvkXIxk2Hgit+ETkJ+EhV1yRbT1VvVNVJqjpp6NChWe0z2cSuYlnO5Ui8Nel5ojcVbkPbcXNoOephpvRdzsgPf8WUvw7xXhcl2sK/9/vO/s/7L+r9eMCLP0+ozliO3ZZmNTZw5eyxNNQHEKChPsCyUw/mI8numu6lhPzGBSO6YQtWw5bP6dNbt3+bDmAnDol/cWQ84oqf8HUavRYhGzcdCh7HLyJXAt8BeoC+wBeA5ap6httvso3j33fBg8llAt5aemLG2y8Wdoiq/VCzu1W5RYWEI/X7PV3v8c3n1zXT+dBC+nZ+wGYdzFU9c1gRnooApx82InlV03Qalk/6HgD6ws2ON2ZYBd/idi//QUljj2jiH26ZIVbGZxXidBw7tY67Ql/j1Jq/p5wETtrTImMEJp0Te/8UiZKJ41fVS1V1uKruC3wTeDyZ0s+Wy1vWp1ynnMI4o4m2JmHXxOHW8ICYrkWqltL3lBBks/qWXcPZiOLu1/U+PlGG+6wSuHbj75RVTdOpNLr6FnS1s9IH+EhyNKopMpNnns+GiVfwAUPdfc3+/tYrFSXiNy4GTnX7+0k3031ruSv0tRzWS0oHjb1/SpCKj+P/y3NJsvSwJnbLKYwznlmNDcw7bhT1AWtouyI8lYndNzJy5x2M3HkHFwf/D2HEW4PuGHTXcNZBcUeXC1bgojvXure/SyuSwbWtOqrw3oR5aWyrtJk883z2avoncsofnP3BM66B/9wMTR3Wa7bLeiXiNy4KLtfWMNnKdN/alNZ8su+ze2ioFTodT4kkdRVV8avqE6p6Uj73EUpy9hrqA1w5e2xZTuza2O6edoes46SNyr1gp7YnubmisdvfJSj/HFmk23QAk2een5NtlRRe/cEl7jcuCi7XVkfdHllPoGftAuralpgxXyJJXRVbq6eltY2mFS87KkSAGhH+deUJuRCvqNg1e5zwVMeHSNcu128FxOdYDlgVbgt9nUU958QsT6h5tK4ZXX5epq1oActVtcR/EU2XL85iK4aKw2n+yB+AGdfxwfLL2IvUgRu2GzQVPfioIZzedRxdJ+tXI53zaAKD4JK30tmqZ0rGx18IWlrbmHfXS65KH+Bbh+7j+l05kSwjOZnFY88BQCq/v1UD3jEUVuDMmkdZXHtLzPL2rmCM1d8SmsJTodEZD51V4S96DONPnJvZBgyVS5JR0HsT5tGVIqu9W2v5n9DXY+bF3K7T2nSVPuwaLa9rdk+ejB8ZFICKtPiTWcEAAb+PV39+fC5EKzqZWvyZRDO4/aZHfey/88+A5V5aVHsbg3zbrZskMIim4Jncuv0QFtfewpk1j6a93xBw/8mvlLVLzlAcXljxe/Z5cRl76Md0SH/8GqQ/Vgx/u+zGVXyXv+w4rHd9r6NkzwQGQV3/5BVBgc7A3hyjN7C5vYth9QHmHTcqJ9e7m8VfkZ2aU9Xl2RF0zRsrO+YdNyompDOaq3rmcK3/hjyEq8VSE8nDcwwn7drGZXo923xzWdRzDt+peTRtq8lX+raJoUSZPPN8iMwLPRkX/gxWMp1PtLf3QebzAj4c81F3diQvkxKhb+cHtO209JY9VwbkzdipSFdPqvDMcg3fdMIpQeiMw0ZQH/CzIjyVTxjg+Du3h4ECYXG+LNx+E4pcRm6VJeukh0W1twGZJZm16ZDS6YVsKFucEjmDYY1xY2aeBOliTIa9VVpV4M0+32ZV3YXM9K2iKxjK6zVfkRb/vONGMe+ulwg6tDAqqS5bOWJWY2LJCTuh6oUVC+m75nJP1QxV4RMGUK/bUZeY/3h3jyr0UMObfb6d1JIfJNtZXHsLj4XH8x151HN4aafWcVXPnNLphWwoW9yuoWhv91U9c1jqvynmfgmqUIvmdeRsR94Nl4+5xn8DE0Ov09R+TopfZU5FWvyzGhtYdurBvbHtNrv387Ps3w+uKl/x5Jnn83P5Pj3q7VQPku1JE71ESKgq2VeC1m+S3Bj2RPC3ap6IUfpuU0x26v2C4LmsCE+tqFGaoTi4XUM1UReuU7vMz+ifd3dpND6B79Q8ylkDns/bPipyctcQS0trGzNbRuNLEs/vNaStkGwKD2Fq93UE/DVln29hKD7xJU7ASuA8ZWID96xpc63n9Wafbxfl3ugM7E2/S17LahtVFc5piGVWYwMddXs4fqdqKdhcXte5siWGydaKSLIzlAZO82FXzh7LFbPGxpQ+iSdnxQ/TJPO+A6kxir9KuFa/ldCpq1Pr+FHwAqZ2X0dbDi/uTMJEnfhIhuQsrM1ggF39kN9aeiJPLzi699qylzsp/6t65qTMB/BOGjdHHmswGcVfJfxp+yEJvkvbfw7Wxe3VUs+ld7BT63gqPJr4efhOreOX3ac6l4AwGPKE0wTwivBULonqctejPlRha3gA2zVSDhqsmP2RR+Kq3AfuY1XtjK+35ESeazAZH3+VkCqpDeDFPnMZJNtTbutz+tCNn3q11k07IUsFgZjyzjN9q5jvb2YYW2OWgzUkf3rB0entxGDIAC/3iRMigFoTyNcc9AaT//U7tGMTHzKEK7tPZfd+dVav4K4PrH4XO9pBXUJAB+5jKf0c1GAyPv4qx6kTVDxNwTM9WfP92MluNT2eesQ6bS9EDRcF/w9Tu6/rVe4rwlO5KjiHzTqYYfIx82ubmelbBZDRjWgwZEKmod621d/W3sWpzwznyx9fxZeDd3DYjmuZ4HudhcFr6Nf1PqDQtY2dYaHHaWRQU5czpZ8Mo/irhPiJLSeFnSzhK5qQ+qgN7fC0X6fqJnXS01vS2WambxVL/Tcx3PcxPiGm5n9NIWPpDFXNrMYGdu+XuntXKrpDSjCkzPSt4js1iXkrfSSEY5BdfHevPGEUfxURPbH12znjHUcATcEzEyaBo+nUut4SDalQBZ9jeTcY7tsa80iYX9uckGRm1/xPVlrbYMg1i2aMTjk69sr82mbXUFC3eyO9/hWZYRR/lRI/ArCJT2DZGh7ANh0QMyHsNQJomw5wX3fg8JiEGrcaKXZIp8FQVhB8OwAACnhJREFUKOLvjWxGnMlq/4Tc1G8BOqpVZMkGgzeiSz1ET2qtCE9lRfdU9x/2wDV1NyS1Gjq1jsU9ZwIkpMDbEQvzQqO4+M61KFas9HCHm+R9BldciQ1D6RN9b9hl3p1KwKTC7boOK9weOjqhL3Cn1vHzjn/j0Na2vIYxG4vfAFiTWn6P6YkPyRHu7REhJlTUKQXerpc+q7GB0w8bAVjhpE55Bpsnzjdx/IaiYpeAyQSn6zqs8D+RBkZOIdZ/2XEY8+5+Ka9hzCac09BL45K/8UlnYvOaSKQaYNU7WjRjNLOeOM65xnik45BbWFxCd66o/c70rWJ+bTPDxArpvKnuDNNxy1AyJAv17Of30elS7j3+uo4OVU5GLsKYq6oevyEz2h2UPlhK/+2lJ8YurFno3PIuknTiViH18+4eWuKGsYtmjObS5etZEdzlYhLg9Akjsv6fDIZckaz3hZvSBw+uUxfyWZHWuHoMvbhVLxRIHHamaPw9q7GBAX0T7YpgSBPqjM9qbOCUiQ0x7iMF7lnTZrJ2DSVD9KRvIchnRVqj+A29zDtulHMNfnBuCjFujtVIuqnd+huXdOI2gnCyZFa+tiUhuC3fzSgMhnSxQ6LznVmS774hRvEbepnV2OAWWZzRsNPNYnFa7rZ904DFUIrk0xovRN8Qo/gNMbgNYzO50J3KRAgw7cChnrdvGrAYShG30XG21Af8tC48Nu+RbEbxG2JwUtYBf01Gw850fPe53K/BkG+SjY4hreLLMbR3BQsyr2UUvyEGt2YVmVogXn33ud6vwZBv3EbHDfUB3lp6Im8vPTGjieBCzGsVPJxTRPYBbgP2xDIAb1TVawsth8Edp+btmZKO7z6X+zUY8o1TeGf8KHXecaO46M61aW23EPNaxbD4e4CfqOpBwGHAD0TkoCLIYSgAxndvqFS8jFIzqfZZiHuj4Ba/qr4PvB95/5mIvAo0AK8UWhZD/vFiFRkM5YqXUaqdoOilyXuh7o2iZu6KyL5AI/Ccw3dzgbkAI0aYDM5yxb4plj28kc3tXQyrD5g+uoaqItk9MOmLg4pybxStVo+IDACeBH6hqsuTrWtq9RgMBkP6lFTrRRHxA/cAt6dS+gaDwWDILQVX/CIiwM3Aq6p6daH3bzAYDNVOMSz+KcB3gKNFZG3kdUIR5DAYDIaqpBhRPavIPLHNYDAYDFliMncNBoOhyiiLDlwisgV4p9hyRBgCuHdQLj5GvswpZdnAyJct1SjfF1U1oSpiWSj+UkJEVjuFR5UKRr7MKWXZwMiXLUa+XRhXj8FgMFQZRvEbDAZDlWEUf/rcWGwBUmDky5xSlg2MfNli5ItgfPwGg8FQZRiL32AwGKoMo/gNBoOhyqh6xS8it4jIRyKyIWrZwSLyDxFZLyL3i8gXIsvrROSPkeUvichRkeX9RORBEXlNRF4WkaWlJF/UdzeKyOsROU/JkXz7iMhKEXkl8r//KLJ8kIg8IiJvRP7uHlkuInKdiPxTRNaJyISobZ0VWf8NETmr1OSLfP8FEdkkIteXkmwiclVkG69G1sk6Oz4D+Q6MXJc7ReSnqbZTKvJFvqsXkbsj98arInJ4EeQ7PXJe14vIMyJycNS2viEiGyPnfkG2sqGqVf0CvgZMADZELXsBODLy/hzg55H3PwD+GHm/B7AG6+HZD5gWWV4HPAUcXyryRT4vBq6IvPcBQ3Ik397AhMj73YDXgYOAq4AFkeULgF9F3p8APIRVtuMw4LnI8kHAm5G/u0fe714q8kVt71rgDuD6UpEN+CrwNFATef0DOKoI8u0BTAZ+Afw01XZKRb7Id38Czo28rwPqiyDfV+1rHjg+6vzWAP8CvhSR7aVsj1/WN34lvIB9iVWsHeya+N4HeCXy/v8C34la7zHgEIftXQucV0ryAe8B/QtwLO8DjgE2AntHlu0NbIy8/z3wraj1N0a+/xbw+6jlMesVW77I+4nA/wJnkwPFn8NjdzjWQz6AZYSsBr5SaPmi1msiTrE6badU5AMGAm/Z91S+Xl7liyzfHWiLvD8ceDjqu0uBS7ORpepdPS68DJwceX8qlnIF60k7U0RqRWQkliLYJ/qHIlIPzMBSuiUhX0QmgJ+LyIsicpeI7JlroSS2o9qearXZBPgAsPfXgPUQstkUWea2vCTkExEf8BsgxkVQCrKp6j+AlVgtTd/HUhKvFkG+dLdTKvKNBLYAfxSRVhG5SUT6F1m+72GN7iAP94ZR/M6cA1wgImuwhmjdkeW3YB301cA1wDNAb8NMEakF/gJcp6pvlpB8tcBw4BlVnYDlCvh1LgUSq6PaPcBFqvpp9HdqmSlFjRvOgXwXAH9V1U2lJpuI7A98BescN2CVPD+iVOTzsp0iy1eL5U79L1VtBD7HcsEURT4RmYal+C/JlQzxFLXnbqmiqq8BxwKIyJeBEyPLe4CL7fVE5Bksv53NjcAbqnpNicm3FegE7G5nd2FdWDlBnDuqfSgie6vq+yKyN/BRZHkbsaOk4ZFlbcBRccufKCH5DgeOEJELgAFAnYhsV9WsFESOZDsDeFZVt0e2+VBE3qeykS0D+dLdTtbkSL5NwCZVtUchd5MjxZ+ufCIyDrgJa45wa2Sx23nPGGPxOyAie0T++oDLgf+OfO5nDwFF5BigR1VfiXy+AstXeFGpyRexKu5nl2KdDrySI1ncOqqtAOzInLOw/Jv28jPF4jCgIzLsfRg4VkR2j0Q5HBtZVhLyqerpqjpCVffFcvfclgOln6tj9y5wZMTF5weOBLJ29WQgX7rbKQn5VPUD4D0RGRVZlJP7I135RGQElnH2HVWNNihfAA4QkZEiUgd8M7KNzMnnZEY5vLBcM+8DQawn//eAH2FZyq8DS9k1kbov1sTMq8CjWCVPwXoCa2T52sjr3FKRL/LdF4G/A+uw5h9G5Ei+qZH/fV3U/34CMDiynzcisgyKrC9Yk9D/AtYDk6K2dQ7wz8jru6UmX9Q2zyY3UT05kQ0r6uP3kfP+CnB1kY7dXpFr9FOgPfL+C27bKRX5It+Nx3KRrgNayE1EWbry3QR8ErXu6qhtnYB1v/8L+M9sZTMlGwwGg6HKMK4eg8FgqDKM4jcYDIYqwyh+g8FgqDKM4jcYDIYqwyh+g8FgqDKM4jcY4hCrUuMFkffDROTuYstkMOQSE85pMMQRqavygKqOKbIoBkNeMCUbDIZElgL7icharCSbr6jqGBE5G5gF9AcOwKp3VAd8B9iJlZS0TUT2w0q0GopVKuM8tcpsGAwlgXH1GAyJLAD+parjgXlx340BZrOrrnunWoW9/gGcGVnnRuCHqjoRq7zDDQWR2mDwiLH4DYb0WKmqnwGfiUgHVg0ksEoojItUYvwqcJfsaoLVp/BiGgzuGMVvMKTHzqj34ajPYaz7yQe0R0YLBkNJYlw9BkMin2H1OUgbteqtvyUip0Jvn9yDU/zMYCgoRvEbDHGoVQf9abEa3C/LYBOnA98TkZeI7ZZmMJQEJpzTYDAYqgxj8RsMBkOVYRS/wWAwVBlG8RsMBkOVYRS/wWAwVBlG8RsMBkOVYRS/wWAwVBlG8RsMBkOV8f8BAvdzgu43eScAAAAASUVORK5CYII=\n", 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\n", 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PPvool19+OQMGDMDj8XDLLbcAMGPGDH7yk59QUVHhKod+586dOeuss+jfvz+TJ08G4JhjjuHkk0826ZgNhixi0jIb8pqamhoGDBjA2rVr6dChg+Nx5nowGOJxSsucy2Lrj4jI58HC6rHv/VREVES65Gp8Q/Pn1Vdf5eSTT+bWW29NqPQNBkNq5HJz9zHgt0BUeKeI9AAuAD7O4diGFsB5551nWwLSYGjRZLkYix05m/Gr6hvAfpu37gOmEFdOPq0xMu3C0AIw14GhxZDDYNNIGnVzV0QuAapUdUOmfbVu3Zp9+/aZH32Bo6rs27cvyj3VYGi2LJsNfl90m99ntWeRRvPjF5E2wF1YZh43x98M3AzQs2fPuPe7d+/Orl272LNnTzbFNDRDWrduTffu2YnJMBialBwGm0bSmAFcJwC9gQ3BYKPuwFoROU1VP409WFUXAAvA8uqJfd/r9dK7d+/cSmwwGAyNSY6DTUM0mqlHVTep6tGq2ktVewG7gKF2St9gMBgKkhwHm4bIpTvnQuAtoK+I7BKRG3I1lsFgMLQIchxsGiJnph5VvTLJ+71yNbbBYDA0WwaOz7qij6UwUjYYDAaDIYxR/AaDwVBgGMVvMBgMBYZR/AaDwVBgGMVvMBgMBYZR/AaDwVBgGMVvMBgMBYZR/AaDwVBgGMVvMBgMBYZR/AaDwZBvbFwM9/WHmWXW/1nOx9+Y2TkNBoPBkIxQMZZQXv5QMRbIWioHM+M3GAyGfKIRirEYxW8wGAz5RCMUYzGK32AwGPIJp6IrWSzGYhS/wWAw5BONUIzFKH6DwWDIJxqhGIvx6jEYDIZ8I8fFWJLO+EXkGBH5g4j8Nfj6FFNG0WAwGJovbkw9jwEvA92Cr/8FTMqVQAaDwWDILW4UfxdVXQwEAFS1DqjPqVQGg8FgyBluFP8hEekMKICInA4cSPYhEXlERD4Xkc0RbfNE5J8islFEnheRsrQlNxgMBkNauFH8dwBLgRNE5E3gceA2F597DPhWTNsrQH9VHYhlMprmXlSDwWAwZAM3Xj3vAecAfQEBtuLihqGqb4hIr5i2v0W8fBv4rltBDQaDwZAd3Mz431LVOlV9T1U3q6ofeCsLY08A/pqFfgwGg8GQAo4zfhH5GlAOlIrIEKzZPkB7oE0mg4rIfwJ1wJMJjrkZuBmgZ8+emQxnMBgMhggSmXpGA9cD3YF7I9q/Au5Kd0ARuR64CBilqup0nKouABYAVFRUOB5nMBgMLYHKdVXMe3kru6t9dCsrZfLovowbUp6TsRwVv6r+EfijiFymqs9lYzAR+RYwBThHVWuy0afBYDA0dyrXVTFtySZ8fstTvqrax7QlmwByovyTbu6q6nMiMgboB7SOaE+YHFpEFgIjgC4isguYgeXF0wp4RUQA3lbVW9KW3mAwGFoA817eGlb6IXz+eua9vLVpFL+IPIRl0x8JPIzlifNuss+p6pU2zX9IVUCDwWBo6eyu9qXUniluvHrOVNVrgS9UdRZwBnBiTqQxGAzZI8d1Ww3Zo1tZaUrtmeJG8YduOTUi0g3wA8fmRBqDwZAdQnVbD+wEtKFuq1H+ecnk0X0p9RZFtZV6i5g8um9OxnOj+F8MplaYB6wFdgALcyKNwWDIDg51W3cvmUbluqqmkcngyLgh5fzq0gGUl5UiQHlZKb+6dEDOvHrcROD+UlWrg549xwEnAXNyIo3BYMicjYuDM/14vqb7mLRoPf2m/z9zA8gzxg0pZ/LovnQrK2V3tY95L2/N2XeUUPGLSLmIVIhISbCpA3AnsC0n0hgMhswImXgc2K2dAThUW8/kZzcY5Z9HhFw6q6p9KA0unbn4jhwVv4hMAtYDvwHeFpEbgfeBUmBY1iUxGAyZY2fiCVKjJcyta6jq5K9XfrrYKP98IZFLZ7ZJ5M55M9BXVfeLSE+sbJpnqeqarEthMBiyw4Fdts2qELCZ59WrMmnRema98B4zLu6XM5uyITmN6dKZyNRzWFX3A6jqx8BWo/QNhjynQ3fbZhFoJ4e5x7uAsZ6Vce9/UePPmVnB4I7GdOlMpPi7i8gDoQdwbMxrg8GQb4yaTkM+xXhKpI4pxfYunbkyKxjc0ZgunYlMPZNjXpvZvsGQ7wwcD0tuSnhIN9nn+F6uIkUNyQmZ2RojUVuyJG0Gg6G50aGHozsnwBfa1vG9XEWKGtwRq/xDK7BsK383AVwGg6E5MWo6eLyObx8lh23t/AI5ixQ1uKOxXDolQUr8vKGiokJXr17d1GIYDPnPxsWWS+eBnViq3P73XacePAQI4KGIAFXahfv5Hs/WnpnzXPAGZ86a83eqbMxt5WWlvDn13JT7E5E1qloR2550xi8iZ7lpMxgMTUxUfh5wUvoAxRLAI9b/ItDds5dZsoCLPStzGjhkSExjuXS6MfX8xmWbwWBoShIEb7mhjdSGPX6Mh0/T0FgunYlq7p4BnAl0FZE7It5qDxTZf8pgMDQZCYK3xNnDM4pIjx87k4Mht0we3TeqEhfkxqUz0Yy/BGiHdXM4KuLxJVYxFoPBkE84BG/t13bsC7RDNZHxxyKUywesHQJj7mlcGitLZ9LNXRE5TlU/yuqoKWI2dw0GF4Rs/BHmnhot4Zn6b3J50Ru0kdqEHw8oTPJPZGlgeLgt3U1FQ37gtLmbtPQi0EpEFgC9Io9XVXM1GAz5xMDxrNrxBd3WzOVY9rFbOzO3bjxTihe7Uvp/qj8vSumDCehqqbhR/M8AD2HV261PcqzBYGhCJm3pQ9WR6Iwq8+VB22MVUJXwDSJW6YeOOWvO3417ZwvDjeKvU9XfpdqxiDwCXAR8rqr9g22dgEVYq4cdwHhV/SLVvg0Ggz12M/Td2oXusjf+YIU/1Y9iRt2EhH1WVfu4fdF6Vn+0n7vHDciWqIYmxI075wsiMlFEjhWRTqGHi889Bnwrpm0qsExV+wDLgq8NBkOWsHP7m1s3noDNVp4IXFP0qm0UbywKPPn2x2azt4XgRvFfh5Ww7R9YidrWAEl3WlX1DWB/TPMlQCgH0B+Bca4lNRgMSbFz+1saGO6Yr9MjcK/3IT5s9X1WltyW8CagYHz7Wwhuau72tnkcn+Z4x6jqJ8HnnwLHOB0oIjeLyGoRWb1nz540hzMYCotxQ8rp2CY+T0+VdnH8TCiKt7tnL/O9DzKr+BHHY41vf8vATcqGNiLy86BnDyLSR0QuynRgtfxIHX1JVXWBqlaoakXXrl0zHc5gKBhmXNwvLq/7fL6X1IcfrBVAIvOP8e1vGbgx9TwK1GJF8QJUAXenOd5nInIsQPD/z9Psx2AwOGAXBDT8OxORihtcfd4jOBZrMeaeloEbr54TVPUKEbkSQFVrRNwGgMexFGvPYE7w/z+n2Y/BYIhl42Jq/jqd1r5PqQh05vySqxl8xc0NbphFp8PaxyHgT9pVN4+NF1CQqmofvaa+RMc2XlOnt5niZsZfKyKlBM0yInICcCTZh0RkIfAW0FdEdonIDVgK/3wR2QacF3xtMBgyZeNi6v58K218n+BB6e7ZyxT/g6x8/sEG08yy2a6UPgBKUm+fL2r8TH52gzH9NEPcKP4ZwP8DeojIk1humFOSfUhVr1TVY1XVq6rdVfUPqrpPVUepah9VPS9UzN1gMGTIstkU1x+OamojtUzi6QbTjEMSNzs8AjOKH096nL9ejeknV2xcDPf1h5ll1v8b7c1v6eDGq+cV4FLgemAhUKGqr2VNAoPBkDkOSr2b7GsI6nJI4uZEJznoysffePpkn1VLf49vyX8Eayuo9f8Lt2VN+bstvViOlYq5BPimiFyaldENBkN2cFDqu7VzQ1DXqOngdZ/XXRJs8kYdh/H0ySaV66rotmYupbEWdb/PMtdlATfunI8AjwCXARcHHxm7cxoMhiwyajp1Ra2jmmq0hPl8ryGoa+B4uPgBqxg7AqWdoKgkYbeR+fmdMJ4+2WXey1s5FofN9RTMdYlw49VzuqqekpXRDAZDbhg4nmIIe/XsDnTm4ZKrGT7m5mivm4HjrUeIqBq98QQQPmx9FZ9oZ37tt0/kBsbck012V/vYXeKQXylFc50TbhT/WyJyiqpuycqIBoMhNwwcT5ugUu8OzHT5GQaOt83lD1ZUL0C57GWO92HwY6v8Q+Ye49qZOd3KSpn75XjmeB+OSqftoxWlo6ZnZQw3Nv7HsZT/VhHZKCKbRGRjVkY3GAz5QZQZyJ7ImryxGHNP9pg8ui+vFJ3DVP+N7Ap0IaBClXZh89BfRq/WMsDNjP8PwDXAJiCQlVENhkwJmyh2WcvfUdNtfxSV66pY/9ICbqx9gm6efdR4jqIuoLTXr/hcurJz6GROHfvDJvgD8pDQ+Xv+FlD70hvd7MwPQYy5JzuEVk3zXi7h7OrhdCsrzXo9BDeKf4+qLs3aiAZDpmxcDJUTG4KRDuy0XkOU8q9cV8Wh53/CdHkFT3Bt2y7wpfVE4GvsodOaaayCFqH8K9dVMe/lreyu9qWnLELmHgelH2KsZ6Ux9+SYcUPKc3oe3Zh61onIUyJypYhcGnrkTCKDIRl/vTM+AjXgt9ojWP/SAq6UV/AkSDBSIvX0WfvLHAjZuFSuq2Lakk1UVftQrNn3tCWbUnOzXDY7zsYfi8nj0zJwo/hLsVI0XIBx5zTkAz6HgO+Y9htrn0io9EN00K+yIFTTMu/lrfj80TN1n78+NUXs0lUwkbnH1OhtHrgx9fxMVZM78xoM+cDGxTBwPJXrqhibQEFFkW7KwTzCSeGmpIg7dHd064xC4MrWb7Pw8Olxb9lVADPkH25m/G+LyDMicmEGWTkNhuxRmqDy57LZYbNHNe1cdVfrLcuSYE2Hk8JNSRGPmo6bu6AHmOJdZPveyJNM7YzmgBvFfyKwAMuzZ5uI/LeInJhbsQyGBHz7187vHdjFrBfew+evR11UHqkTL60unpc92ZqIyaP7xhVfKfUW2ZZidGTgeKhIXHg9RAe/fSmNhe/sNOkbmgFukrSpqr6iqlcCN2Hl0X9XRF4XkTNyLqHBEMvA8Y6z/t105osaa+O3oxy0PUa14fFloDUfrFmWsyyIjYVd8ZVfXTogdc+Qi+51dVhAxTaBW70qty9az88rN6U2rqFREU0yLRKRzsDVWDP+z7D8+pcCg4FnVLV3roWsqKjQ1auT1nc3FBI2kaY1WsJU/41hV8OVJbfRPUFBkRCKjYGjpC1cND9rATPNivv6u7L1q8IhWnOXf4Kte+fVp/fk7nEDciGhwSUiskZVK2Lb3Zh63gLaA+NUdYyqLlHVOlVdDTyUbUENBldERJoqwq5AlyilDzC3bjw1mjgJGThYtWsPwZ9/3Cxn/xnjMounCLSTw9zjXWA7+3/y7Y+N2SdPcTPjF1VVEWkHoKr26+ccYmb8Bkc2LubTJXdxtO5ht3Zhbl10IrGxnpVMKV5MuewlLdeEDj3g9s3Zk7e5EBsZnWQFsC/QDh+t6SZ7476H8hxEnhrc4TTjd6P4+wN/AjphTY72ANepaqP9GoziN9ixaunv6b/2F1F5y2PNPSHcmn3iEZhZnaGkLYBf93aOn8Ay+0TeWGO/h1JvUXp7DoaMyMTUswC4Q1WPU9WewE+DbQZDk+FUrMIpkVgis0/CuU+W0uA2azYuhiOJg9xiV1Ox30PKwWSGnOJG8bdV1eWhF8Gyi21zJpHB4IJZL7znWKzCrnjI0sDwiGyHUKceVGFXoAsrAv0I2Cn/opKgb3uBk0qR9ghiI3xNVG/+4EbxfygivxCRXsHHz4EPMxlURG4XkfdEZLOILBSR1sk/lQfksPixwT2V66r4osbPbu1i+/5u7QxAG6+Hjm28CFDq9bA0MJzhtQ9w/JGnuMN/C1XahW6yl+PlMxbL6GgX0dJOcMn/Nh+vnlxemwlSOSQLlYjc9O1Q6s2SQIZMcZOyYQIwC1gSfL0i2JYWIlIO3Aacoqo+EVkMfA94LN0+G4VY98FQ8WNoPsqhhTBz6XuAZb6JLVZRoyU8XHI1O2aPifrMWXP+Hk4bPNazMupz3WUvY3U5q06+u3lm6cz1tVna0dG+n2i/PJTQbWmtZec/VFtnsnfmCW4CuL5Q1dtUdWjw8RNV/SLDcYuBUhEpBtoAuzPsL/fYZS70++IyQhpyT7XPMvpnTFUAACAASURBVDvYmW9KqeXG2ifiZryRZoYpxYujbhZg2aSbbZZOp2szS4W5MyHS7OavV2PnzxMcZ/wi8gIJVnKqOjadAVW1SkTuAT4GfMDfVPVvNuPfDNwM0LNnz3SGyi5O7my+/eHEYIbGZ2lgONQRN4NnyU3w4iSorYEO3bmu3WU8dvA0wDm7ZAf9Cl68w3X0at7gZIrJUmFufOnP8wRlZcltzK2zfh9TahbDzH0Ji+cYck8iU889uRhQRDoClwC9gWrgGRG5WlWfiDxOVRcQ9B6qqKhwkXUlh2xcjLWodRBj2WxzATciHdt4w2kZwH4GD1hBWAAHdvLzooc4WFLHs7VnslvtC1mLAKsfgZ6nN6/v08nPPlseSW6zdtogYt2I53l/jyCUSJ31hjGVNimOph5VfT30wIre/QLYD7wVbEuX84DtqrpHVf1YewdnZtBf7lk2m4TbWNmaWRmSs3Exb7a6jQ9bfZ+VJbcx1rMyYX74EMX1h5nd9jnKy0qZWzc+gQunWqUHZ3aAWZ2s//N9I98u0tZbmj2PJJeRvAABtXePbSX1DUo/RJ6YowqRpDZ+ERkDfAA8APwW+LeIfDuDMT8GTheRNsE0z6OA9zPoL/ckU+zG17txCG5itvF9gkegu2cv870PUos7b5E2vk94c+q5PPDfv6KmuIPzgaHSg6H/Q7PTfFX+A8ezasAsPqUrARU+pSurBszK3kw6qhC7JCzInnJwdJorCUNmuHHn/B9gpKqOUNVzgJHAfekOqKrvAM8Ca7EKuHvI94CwRIo9mzMrQ2JsNjE9Aq1w62MuYeU9T35g77vvRB7PTivXVXHtquM4/fD9HH/kSU4/fD/Xrjouu3lyBo63UlfMrLb+d1D+IvHBXImR/L2hNjGV66o4a87f6T31Jc6a8/esfp9uFP9XqvrviNcfAhnVqlPVGap6kqr2V9VrVPVI8k81IU5L3dJO1kzI2CgbB4eVl3tFo2Hl/ceDp/Gn+vNSU/55OjvNStnFVMnaZEfz9obalGSlhnIC3Cj+1SLyFxG5XkSuA14AVhVU0XW7pe6l/wd3bjdKvzHJhkktePPoVlbKjLoJTPJPZF+gXTg/f0KkKMkBTcPuah9jPStZWRK995HTSNkENRFSxuyRxZHrm7mbAK7WWHn4zwm+3oNVgP1irB3PJQ6fa1kMHB+t5EORkqHshZGuaTGZDVedcCuTtvRhd7WPbiZTYfqMmo4uuSmzErnBm8fk0X25fdF6AEql1t2qQeuTH9MEXNfuXab4o91Z53gfppO3BBiT+MOZ8O1fx9VESERALdNcHKUdsytXCyArNZQTkFTxq+oPsjJSSyJRpCTEvdd/zc8Z5r+RKoaHl2yAUf4pUll/FocC53OlvBKlQGwLqdgRsR8zbkg5qz/azy1rHVxBbZG8jNmY4l1Em7r4gDSrLu6s3A0cOg+hSY63DfgPRR0SWkVVaReWBQbzvaLltJKYG2jtwbw8r01Jt7LScKR5bHs2cJOWuTdwK9CLiBtFugFc6ZB3aZmdUtR26EFNbR1tfJ/EvbUr0IXhtQ+EX5eXlfLm1HNzKWWLI5R2IZRjv5vsY7d25p2iCi5r/15iG3xpJ2uGGqNcdGYZkjTjTAT5mJ9/Zhn27saNnFLaoXLXV4FWtJEjYbuy7eoqH89rExKy8Ueae9JJbe2UltmNqacSq9ziC0DA9YgtlY2LUd9+2xlm4MBOWjtMP2N9zauqfZw15+/G/JMCw758hUUli8PFPib5f8TSwHAEuGzGmAQKEGs/xgZJNTgpH+3RuQ7gcovDuWknR5Kb0vLxvDYhIV0w7+WtOdERbhT/YVV9IPlhBcKy2c5mBYVq2tEJ+yJlYz0rw4UpBMJLOWP+Sc6qpb+PS8swx/sw+GFN+/OtgxwVoLPfOaOm41vyH3F5/R3Jw5iNVSfcSv81P6c0wmTl0xI2n3ArpzamIA7n39X+SR6e16Zm3JDynOkDN14994vIDBE5Q0SGhh45kaY5kGBm4hHwqt/WRTCUqTBE7CGmUEVieqydZ5tYbUrxYkae1NVqSCeCdeB4ptbeEEz0JuwLtKNWHeZD3lLoc0HepeaetKUPd4aT1Vn1h+/038ikLX0aV5AUInzjOLDTMqHmwfksBNzM+AcA1wDn0mDq0eDrgqJyXRWn04WvscfxmHbiPHO0KxASid1mjsHiaN3jYELbx3Nrqqg4rhPjhsRsNrpMBPZG65H8uSa+Tm83z148UmR583ToAZ2Ot3L5hG7beZJvZne1jyqGh9Mfh5DGvp5iN3uT7J3ElmvEt98qcB/ZlyEnuJnxXw4cr6rnqOrI4KMglf60JZt4uW5QQn/vRJGLoQIhjp8NjmOI53Ppatu+WztHr5ZiI0yTKJDKdVUcPBydQ2ZpYDgj63/D0ku2wIz9MPOAdQPZ/gZxyiwPInqdPD2y5QGSEpHnP4GJLU7ph6ivbfLzWQi4UfybgbJcC5LvhAIqRnnWpxiSblGjJeHUtE4oDUVGDNHsHDoZX0zN3Mhzmq5/87yXt+K3sc21LSlusK9uXAzP/xDHGWwTb0xOHt2XUm90cFmpt4jJo/s2kURBRk2nrii6uJ4qHNYkuZXMRm/OcWPqKQP+KSKroGEHrDHdOfOBkGJxkwkyFlWY6r8xvLGbiGqfn15TX6LcePpEcWqvjhzZVIrWWnb+L2jHTP+14XOa7uzW6YZR7fNz1py/8/gxizjho6cTd9LEG5PlO19kWdFcvuaxvJ3+1/N9vnHJLU1/7QwcTzGwe8k0vqaW623oRj3f+6Cjk8QRb3tabVxsFTkKuU07uOMa0sON4p+RcymaAWXBHPBOudwTEQDu9z7I/TwYp7CcMJ4+Ebx4B6x+hFZo2M7fWhs2ejOZ3ToFyoDlPtrb93Ty6LA+F6Q1djZYtfT3DR49wdz30/UhNu/sDkPyoIzkwPG8W39WlE/6ypLb7CN4gxT7D1iFdCIx9v+s4qb04uvADsAbfL4KK7NmwRBpB55bN56aGJNDIlShSBps/53kIPd4F0QVoXbCePpgmVkiN1SDhDx6ystKUw5qicTOTBJiSvHihAoqzIanmswbpcfaeVFunGCloOixdl6TyGPHuCHl/OrSAZQHV2XJVs2OGZGM/T9ruMnHfxNWGuXfB5vKsYK6Cob1Ly1gefGtfNjq+0wpXswz9d8Mu84l2uh12sAqkboo185E5DTRVnMgQRGc7p59vDn13IxWRLFKKRLXZr0m2uCtXFdleTvZcLSmbpLMJeOGlPPm1HMpLysl4Gpr0QFj/88Kbr6BHwNnAV8CqOo24OhcCpVXbFzMFP+DdPfsDRf/uLzoDebWjef4I09SpV0cP5poEziZa2f4uKbwzMgnEv3Qs2Rbj1RKkexO8N3G0cgpm0NeZk4yfi4pyN6ITB7dl6JMEgCYQK+s4EbxH1FtMKiKSDHJHHRbEstmOwYOAUnK+DmTzLUTLNNyk3tmNDWOP3TJegGcWLNPama9xi0oEvIys5OxRkvYOXRyo8mSCuOGlONrc2x6Hy4qMUWPsoQbxf+6iNwFlIrI+cAzWHl7CgOHmVxoxr40MJw/1Z+XkvKv1WLm1o23zaEeSeHcXRNgEw0aAD447oqsb/KFzD6lXutnsTQwnKkREbEHPe3B29bh041bUCS0IR0r465AF34pt3Dq2DzY2HWgzbdnx7l5hmr11jvVRShpC5f8r9nYzRJuFP9UrBz8m4AfAn8Bfp5LofKGBDO4T6UzgpVls/1lD7jKC6xYF/VBWvPdoteZ7402Ic3xPhyn/LNZdadZMnA8i4+dHKXYJtVO5KIPv5OT82Ip/4FRyv+b/gd49rhf0K7IH5d2OIoDOxtl1l+5rirqclsaGM7w2gc4/siTDK99gKcPn55zGTKhsv4sJh+5Ieo7XRnoh9LgCAHBiU9pJ6vo0V27jdLPIknTMucDTZaW2Sn9MlgXY+SF6JCS1gmnjd/Y9M1Q2CmcK9dVcfui9barn1ycF6d0uGvaTbJNtx2HtzTn5ThD6amdyPfrZfCsv1Hta6iTPNazkvneB209qGpKj6XNnf9sROlaFk5pmd149ZwlIq+IyL9E5EMR2S4iH+ZGzDzDSelD/A87xQRVThu/dpu+hezZM+/lrVzsYBLLxXlxKnnXusaF0odG8fAJ/d12psK8iNhNQqTSh8Rus619n1pPQhXv8ig5XnPGTQDXH4DbgTVAVmrPiUgZ8DDQH2tFN0FV38pG35lSua6KmUvfo9rnZ3urFAp5p5igygm7Td8OpUlC3FswPzz4v1ztfTWsGGzTMWcRx5J3qQTu5djDp6yNl7MPL49LUz3f+yDbe+3nhCHfyun42SaR2+wXgbZ0DgbwRSXHW3IzfPw2XHRv4wjZwnBj4z+gqn9V1c9VdV/okeG49wP/T1VPAgYB72fYX1aoXFfF5Gc2UO3zM9az0ll1OxWZdpmgyomAYpvP51BtXWHa+Tcu5uriV+NmgyGvqlzMbJ3cZ1Py8MlhUfZQMOGU4viSkR6BEz5alPez4Y5toicyidxmW3v8tgF8oFZ7nv+t+Yobxb9cROZlKx+/iHQAvom1kkBVa1W1EevDORNK2DXWs5L7vL9zjtr89q+Td5ai6Seg8ET9ebyg8akc/PVamBG8y2Y7XqDlnn05SWXhFMkb5T2DUKcJfjo5LMoeukadZ8mN612UDjMu7oe3qOHHlcglug1HcF495//fmq+4UfzfACqA/wb+J/i4J4Mxe2N5CT0qIutE5GERifORE5GbRWS1iKzes8c5/3022V3tY1bxI8z3PkiR2F9sCu427gaOtzb5OvQgkcuPKtSpBxG4tvNWxop9KodQqcaCmPmH7LkJTCaSo0CekEtnkY2NL+w9c/hJPAmDkMTKL5QDm3TIFFVNO+eD8jy6ddyQcuZ9dxDlZaUIlsmupriD7bFJLa15/rfmK0lt/Ko6MgdjDgVuVdV3ROR+LJfRX8SMuwBYAJZXT1ojbVycUlGO69q9yzX+eNNCJLu1C6vWVbmbbQ4c3zDerE6OM8FiCSqRAzuZU/IHtBbbJG4Fkbht42KruIk/0cZt9oO3Igmd28nPbLBN2QzJbP4Kq//Q8DKLBVu6lZUy7MtXaEuC89MMoltjywquWvqfDFszxV1upEiawd+ajzjO+EXkjpjH7SJyjYj0znDMXcAuVX0n+PpZrBtBdgkpkAM7AW348SWYeU3xLkp44anCr/3jmfVCGjnzh11v21/sxLKUIwnz+LT4xG3LZidX+hUTcu7TPW5IOe1aO8+LUk3Wly1vn8mj+3KndzGtxMGclKzUZJ4yaUsfN6Ew0TTTvzUfSGTqOSrm0R7L5PNXEfleugOq6qfAThEJ7cyNArak258jdgokwY+vcl1Vg+uYA/u1HUsDw/mixp/wOFsuuhcqbiBy8ZqKS2ckLdq9M2Funh5w6YJG8+SoTvA9h2z+CW39sWTBLDFuSHni6yPHMQS5Yne1L2Heq0gUy7+fQd+3fs/GxTNlHKc0qjrLrl1EOgGvAkmqUyTkVuBJESkBPgR+kEFf9jj9yGzaFz/yP5y540FE1NGoWKvFzKq7Nvy60q25J5Kep1spfBPOaJPn8fGIuBvfztQF2S1wkaI5LSmlHe3jJ0o7WR5TjUiiXP0QNMf5iXKrTEhpx6zIJU7nqEOPZqn0wTrXc78c7+pcVgW6MP/QZcxZ9zDF9Yetxjypf9xcSDk/qqrux1WCgoR9rFfVClUdqKrjVPWLTPqzxcn2F9O+aunvueijOXT37LWdgavCQW3Nz/w3R9nd0zK3JDVjgI9WSUs01qsmT+VgZ+qqnAjP3xKtNEIFLtKZLaVhTkva35Gv7N+rPdjoM7rJo/smvdBDM/99gXbJ8zVl429wOkfNPIHZ5NF9+StnR+Ud+irQKu6chsptTuLpBqUfIg/qHzcXUlb8IjISyL6izja27pQSVy2pfO1c2xmGqpU+4Sf+ifQ/8kjcZmta5paES32BDj3YPPSXvFJ0TtKufP56Ji1a7+zpY3eTCfjtN5jTLXDhZE57YVJ6Hi3LZlsy2lFfy65npzWqZ9O4IeVcdXrPpMctDQwPF9pJSDYKiTido5J2zXqmG9pTicw7NKD2UX7inxiV02d1oA/3eh+i3GljvZHTYzdXHE09IrKJeAfaTsBu4Nr4T+Qjsfe1oLfF6j9AaSdWnTyVCt1ru35RiMuZE0laefI7dLe/MDv0CJsxTgUuC2ziybc/dhX76+jpk6o9OZ0fjNMY/kNw4FBDv26jLJPI3E32Nrpn093jBlBxXKdwNLcdYz0r6chBdx1Gnud06so6nSNf/s/FkmG3p7I0MJyltdaka1bxI1xb9GryG+yLd5iI3iQkmvFfBFwc8bgI6Kuqp6lqfmdNCrsEJsik6NvPkLV3JuzGqTxi2vlQ7FYhNp4Jy/+5J6WED7aePqm6uaUTbep6DJdRli76G+tZ2eieTeOGlDNzbL+EJRpdp/YI5e3fuNgyvaVodqsp/VpK7c0Jp8lUWakXr0e4qujv7s6ziehNiqPiV9WPYh4fq2oCTZpHuLClAxSjjheSRwi7VZaVeunYxhtOw5x2jddQUFdkyofi+Is9HTNS3Gf6XEBKWzHpRJumZFN2EWU5arplq3Yg8jtpbM8mu+RtIVyXaARArULiL06yN9k4mYM2Lqbm1yfRuuYTYkMLarSEuf4rUpAhP7GLmi71FnHRoGOpU02hclfwHP+6t7kBOOAmSVvzI0vRfN1kb25S3NZFKC3ffssUsuQmy+Qzajrdyrok9CaxlbWsNMLDZieW0k9h3eA2t1CsF08qHNgZjMhN4AGUZIc05MrY2CUpE91onIK5nFJvA1CbJK9/BB88+kN6f/Q0bSB8Lw+dpirtwty68bxw5DRmOvfYLAhNpua9vJXd1T66lZUy8qSuPLemyirSgofiVMo2hlZQ0Kz3P3JBBlWP85gsRvPNP2Vb1voCHFYjEVkHX7iN+adsczQr2OEtEkvOsIdNRJ+uOnAZCGPnxZMqiTyAEm3uBtmtnZsk9XCiG41TMJd780/cJ8PnZdXS39N7x9NxP1QR6xueWzeepYHhLaY2c6j+8fY5Y3hz6rks/+ee8ErryfpzUy9zmo0N9RZIy1T8KSZIc8IjcOoHv8mCQBEkW434fZz6wW/41aUDwrlMQtWgnGhbUmzJ6cK8FUaKCHkSuQ76+eudqY2RDL/Pci8Nef8kuZHUaAkPl1ydvqktA5ySt0F0Arfs1DVS9LmbqJ7Zna+v/aVjNHnI9NUccvCnS+TKd0bdhPQ6MZ4+cbRMU09UbvwMv/RsXzROnj1RY+6KW/YmPNznB01RTq23lP6BXZZCf2FSw2Z4yLsEGsw6TkFDYVI0LUXKAQnNU4oVtPNwydUMHnNzk+Qpiv0+Wns9+PwNZoeQ98mHrb6fWZBLEBEo4yvrRpKgw3LZy+MVH3FqM8vB74afV26Ka6tKpS5CmOAKyph7wrT80ouJyie6QYpgRgafj8VNEjIpYtWQX3HtquMcNxQjGVf0Jvd5/zcrCidSBgQI5C7FsMPARCp/n5Zwp//GcBxFqbeoSWb8sTiVP1xZchvdPakqpsyoK2pN8SW/aVGKzank5ljPSuZ5f++cq8iJCJfpQiLt0ovNnkyUPmQ/t3pUumawDyKop//aX3B+/euuuvxZ0aLsKv2gDI2v9AE0nMr6U7pGKX3InyR1TquwlJO3uSDZ3Ky4/nCLs2PPe3mr7fpxaWA4h0jDjGvSN0fRMk092SSNSlpJiUzXvHGxZeeOucGUcoT7vL+D4F7nlOLFdJO97A56cUQqw9TcCfMcKQp7+5wx9SXbH38+JKlzyuMTyt9jfV/7CCANabfTRMSq2VBEwHnDuIUptkTfcZnbYLlISjtGr/4zzVHVzGn5M36nMokxHPF2cBVclXUGjndcVRSJcp/3Qe73Pkh3z148At09Vs3ZyOCyRKXrmh1aH/b2cfJUyQcPFiefcyAq7cAd/luysgJI6sPewvLSJ/qOU7/ePZbCjw2WW3ITzOxQkP7+LV/xf/vXcUFBsbPIGi3hP49cw6oBsxoqZqXi7ZIJGxeTaPeuyCYHTKjmbIjk5oWsG4JySzDZlpNyzQcPllClrpDnVSiwrzxGYWXL4ydRLiCFZp2gzY5EXlR213v8uQ2erNJOkOymmUmiwmZKyzf1RHn4WIFDS77sx4j6lXQSa8l4mBJq6wLctK4362c08gbQstmk4w0Tad6JMi949uKRogavHbtUzADeYLXLRGktMsXjtW666Yxh49nUrayUyaP7NvnGbojYKlIh7li8Piq6NtseP5EoIBU3tDiThVMw1xNvfxxnTtutnVkWGMwoz3q6yT48Zd2h0/GwY6X7Pb6Qv38LO49OtHzFD9E2deCNu6bxbW9D3o9OHGSO92GmHoHKdf0aV7FkYJsd61kZtvWHlIsA2+eMsf9ApDeR/5Blyqq4AdY8ltomdujGYkdpJythWIfuVtqIDU+57zeqHyt3vZNyzWeKRAjYTO8Tl2tMFYEO3ZFM6x/kMXbf/UsbP+GLGn9U8rYQM4L/zznwR66ofjn1ALoC8vdv+aYeG6aVPBOXijlkPml0j5E0bbOReWsicbSNOqVQ3vY3+M5DuDYHeUuDZSQdji9pCzOrLde5bX9LP+CrCfLvZ4N5L291rNM7t258XJ6dtJCihnPcQpW+EzMudk6WF+K7+kqaUdPSLK+5dChIxX8M9rOubrK38T1GEkUZe9smTFpWLntZ2+rm8Eav1yPO9m/HimTBtMluzU1+H7z3vPPxkeNk4mnSTEPtE10/SwPD+VP9eY7K/4gWsV/bEVAS3yCy7WLcjAjtrZSVeh2PcZ/MLRYXiQRbCAWl+CvXVVmBNwHn0obXtXu3ESUixq8/uKlccYP1v7/GKrDhgAh0koPc732QWcWP4A+oc3GWhCuLFKehvv3O3lKR42TqadIMXRSTeRzNqJvApHBxEctNM1T0Z7L/hww9soDjjzzFJP9E6tVh2poLF+NmxpE6Z+Ven4laa4bXXDoUjOKvXFfFtCWbqKr2OS65PQJTvIsaX7iB461l+8xqawWw4amGZGYuNqdE4JqiV8Mz/1Cxkijln6X8RVEkc3+1GzO04euGZuiimMgbJUSDu+dTfP3IE/Q+8hTDax+Iis1YGhjOHf4fUVfUOvrDjeFinOckSpENaSZzC9EMr7l0KBjFH3mxLA0Md7Rot/F92nhC2eGylkAssTb/uAjX2JVFpvi+iF+pxLq/2tUfaHUUDLnGxaw1vkxmcyDSzRMyO9N/Dgznbrml8V2M85xk5li3ydzi7g0FdFNtMq8eESkCVgNVqnpRrseLvVgckz019R0/A8+Cctkb5ekT9wOJ9G5ykQ0zIR26x3lLORJbf2DDU5YCS5hET63jep7e7BRdpDfKzyvdl9G0448HT2Pmz2dlT7gWgFPUdCSJkrlp8J9DtKIWL2UcYrd25h/HTmS8m2sttiaFk2eV2+OagKac8f8EeL+xBitrE70ZZBcEUlfUuunv+OmUQAx9VGB+0N4P0CHBBphjGUg3kc6pzIycvImWzU5ufvL7+HTJXfSe+lKjFlnPJqmW0YwlH6KU8w035rREHlSC9VtpJ0doi49q2tJN9jJqx73UzexiRfPO7ACzOsIfx1qRvaG2/+pmBXtF1pVYcpN1XCR2tSti6080IU2i+EWkOzAGeLgxxqtcV8XBw3VRbZERlQEVvvAekx8ZDjP02PBE2PsP1dY5K0u7TeWLH7Aine3s8qWdSMvc4OhNtMsmYV08R+teKy2z3b5FMyATL7F8iVLON2LNaXYkMudG0krq6SQH8Qh09hykmIhCQBqA7a9H77P5D1keZ7Fsf90q8h4i0YQnD2iStMwi8izwK+Ao4Gd2ph4RuRm4GaBnz57DPvroo7THc0qhG6Ks1Mv6GXliT87UBBNkV6ALw2sfsPyZldSiXhMsUSvXVaUWSev098SmyXU4LvR3hMhJKcwckuzas0NI8fsqYHo7JPKDpkmRHY6WT+QiPfNAo4mTN2mZReQi4HNVXZPoOFVdoKoVqlrRtWvXjMZM9sM74Etc7q9RGTXdmmFnSKg2rSqpz5gjvYwigoQiPaNCfd6+aL1twYyov8dN8jub42q0hLl10SuLfMjMmQpO+YY6trH/jsvLSsNlB43ST046JTFzSsj0k4jIlUET0RSmnrOAsSKyA3gaOFdEnsjVYAmVUpC8sqMOHA/jHgTJ7KvZrfGxCpnmsrdzo1Pgybc/Tt2kFGsqijhOEXYFujA1Jhc/5Nl35QKnZG52EajGtJM6bktiBlTYF2hHrTaWP0sCS8qaxxpJBmeatAKXiIzAwdQTSSYVuE6Y9hfqE/yN+VLRKY6ZZaRVyhBrpmynNEN0bOOlusafsjkh0bIaLKWWDfOEk3lEgPuuGJx/31WapGw2M9gSex57dS7lzQ/s41/GelaGk7sJmmZqhywQMgnleE/RydTTYhV/5boqZi59j+oEZpxsKaqc4GQblyJr00k8thvBderhDv8tjko/llRufP2m/z8O1SbefBbgqtN7cve4AVHtlploY7hOrUfg+9+IPw4S32B2OCWgMxgi+HnlJp54++OExzjtAYRUot1NQRHk0gXw8duw+hHSnZyFKWkLF823nufA9TNvbPyRqOprufDhr1xXxeRnNiRU+kUi+W1HdbKNf+chy/b+nYdsbeKpKH1wb/6pXFeVVOmDvemncl0VdyxaH1WcPKDwxNsf25rinMw5ibw4DIZI7h6X2OsHrD2AI2pvJrJT+jVawuTAj6msP8uKL/G2jj8oVWoPWRX4Yl1Ec+z62SIjdxNlSAxx5TfyPN9JMtt48P2Q/dLJJu4GN14nqewNaMzx817e6pg264m3P6bX1JcYMvtv4ZvFyJO6xrniGfu3IVWS+fu/4FC/107pBxRa4Wee/JaL/twfXpyUfubZH9gnVgAADSBJREFUWLQ+3kU0x66fLTIfvxvPDzsTQ96RLDJ24Hiu+EuXlN0F7Rgy+28J7f6petNUVfvoNfUlOrbx8kVNcq+pL2r8TH52A6s/2s9za6qiFtACXDas+eXlNzQtscVcWns9UatOxX39XgE8Yl2VxQTQ2kM5r2unB3blbIwWOeNP5vnRkkwGbqIY3fBFjT+h22ds5HMq/brFX68sfGenrefQ8n/uSWt8Q2Ezbkg5b049l+1zxtCpbau4993W741dBTTGnvBn5K6WdotU/JNH98Xrsf9qvEUJctY3Q+zcBa8+vWfCfOXJiLX720U+5wonD6zm5r9vyD/srqG5deMzqoWcDezGV4W/1Q3K2Zgt0tQTWuLFevV0bONlxsWNXFqxEbArURdpyhoy+28pzbwh2u7vZs/EDaUxS+1UaG7++4b8wy6529LAcGbyOJ1cmnyyjngQmx0wEbigeEPOhm2Rih+aZ63WXDHj4n5MfmZDysr7qv97ix37fFnZQyj1evjVpQNdyRHMMhHxWbOxa8icyaP7Mm3JpihTYqm3iFePu4OLP5pDqdjk4MkZApcuCKZ2sMepUmA2aJGmHkM044aU06516vf4Nz/YnxWlD+DzB/jP5zelrPTNxq4hWzhFUY+f8FM2D7ubT+nqGOFbp/YmmfQJlnlMkAZecpgivsXO+A3RVKdo6skFbuMAYl+bjV1DtnCyBJw69ocw9ofh4MHICN/d2jmcM2pG8eN0EsssdIhWlFBPiTTsfwUIpn3u0INVJ9zKpC19WOn7jn2E8IFd1qy/ciIEYn6fRSU5TRFvFH+B4KZ4hVtCCcZS3TdIl2zJbTAkI/Q7WRoYztLa+JiY2Da7G8TSwHBK/ILuBX+9j6oS+6IwisKSmxBvW0vR+w9Zb5R2stKj5zCdgzH1FAjZcvsEOHikjjEDj025PwFHb6tEFDVZQhVDoTF5dN+UXDUb6ic/GVU3ubZe8ddb61enLKESfOA/ZM34L/0/K2XzndtznsPHKP4CIda+WepN/6v31yvL/7knqj83nHlCJ+ZdPihlV9NESfYMhmwybkg5V53eM6t++pFZQh0v5fraRi3S0qRJ2tySSXZOgzORWQ1TvQoE2B6RMM1NwZHYhHBui5Q0t+IrhuZP5G/DI5K1yceHrb6P06I3oHD8kaey6nael0naDE1LZFRjqtHMsX71bkxJsYFhbpbVxpXT0BRE/jb+Z/ygtEyUdiSLFB7rWRlOX5LLMqNG8RuA1GybdtHPsaYkJyJn+KFldSLyslaCoaAYN6SceZdnJ4o2UUZQj1heQ2CZUzMpmpQMo/gNgHVxu1nMdmzjZd53B9kqYzcrCIGomczd4wY4liEsK/UapW/IC8YNKc9Kjq+lgeFM9v/Q0dbfSQ4y1rMSyG2aEqP4DWESKev5Vwxmx5wxrJt+gStl7LSCiE3ZDFZksd1S+lBtXU6XuwZDKmTLM25pYDhVDiYfEZhSbOXhz2WaEqP4DWFSUdbJSLSCiJ3JOEUW53q5azCkQqQ5M1MSJYfrJvtynkzSKH5DmFSUtRucfiAdbNw5nSKLTVZOQz4RMmdmqvyXBobzBe1s3/tUOjuaU7OFUfyGKJwu6HSWnU7pse1MOE79m6ychnwkG7Pxmf5r4wK7arSEqqFTcr63ZRS/IQo7O2a6LpWpmHCyOa7BkGvGDSl3dEoAd4VaIgO7IsunTtrSJ3uCOtDouXpEpAfwOHAMlvl4gare39hyGOyJLVfnVIrRLW5NONke12DINTMu7meb5jnSBblyXRWTFq137MMuJ5A0gnmzKZK01QE/VdW1InIUsEZEXlHVLU0gi8GGbNYycEoOZ2fCMTUUDM0JN5OVcUPKmfXCeyklNGwM82ajK35V/QT4JPj8KxF5HygHjOJvgTgVvzAmHENLwM1kxWllcNmwcp5bU9Ukv40mTcssIr2AIcA7Nu/dDNwM0LNn4uhOQ/5iTDiGQifRb6DiuE5N8ttosiRtItIOeB34L1VdkuhYk6TNYDAYUievkrSJiBd4DngymdI3GAwGQ3ZpdMUvIgL8AXhfVe9t7PENBoOh0GmKGf9ZwDXAuSKyPvi4sAnkMBgMhoKkKbx6VuIuvsFgMBgMOcBE7hoMBkOB0SxKL4rIHuCjppYjSBdgb1MLkQAjX/rks2xg5MuUQpTvOFXtGtvYLBR/PiEiq+3co/IFI1/65LNsYOTLFCNfA8bUYzAYDAWGUfwGg8FQYBjFnzoLmlqAJBj50iefZQMjX6YY+YIYG7/BYDAUGGbGbzAYDAWGUfwGg8FQYBS84heRR0TkcxHZHNE2SETeEpFNIvKCiLQPtpeIyKPB9g0iMiLY3kZEXhKRf4rIeyIyJ5/ki3hvgYj8KyjnZVmSr4eILBeRLcG//SfB9k4i8oqIbAv+3zHYLiLygIj8W0Q2isjQiL6uCx6/TUSuyzf5gu+3F5FdIvLbfJJNROYG+3g/eEzG0fFpyHdS8Lo8IiI/S9ZPvsgXfK9MRJ4N/jbeF5EzmkC+q4Lf6yYR+YeIDIro61sisjX43U/NVDZUtaAfwDeBocDmiLZVwDnB5xOAXwaf/xh4NPj8aGAN1s2zDTAy2F4CrAC+nS/yBV/PAu4OPvcAXbIk37HA0ODzo4B/AacAc4GpwfapwK+Dzy8E/oqVtuN04J1geyfgw+D/HYPPO+aLfBH93Q88Bfw2X2QDzgTeBIqCj7eAEU0g39HAqcB/AT9L1k++yBd874/AjcHnJUBZE8h3ZuiaB74d8f0WAR8Axwdl25Dp+cv4h98SHkAvohXrARo2vnsAW4LP/xe4JuK4ZcBpNv3dD9yUT/IBO4G2jXAu/wycD2wFjg22HQtsDT7/PXBlxPFbg+9fCfw+oj3quKaWL/h8GPA0cD1ZUPxZPHdnYN3kS7EmIauBkxtbvojjZhKjWO36yRf5gA7A9tBvKlcPt/IF2zsCVcHnZwAvR7w3DZiWiSwFb+px4D3gkuDzy7GUK1h32rEiUiwivbEUQY/ID4pIGXAxltLNC/mCMgH8UkTWisgzInJMtoWS6Ipqx6hVZhPgUyA0XjnWTSjErmCbU3teyCciHuB/gCgTQT7IpqpvAcuxSpp+gqUk3m8C+VLtJ1/k6w3sAR4VkXUi8rCItG1i+W7AWt1BDn4bRvHbMwGYKCJrsJZotcH2R7BO+mpgPvAPIFwwU0SKgYXAA6r6YR7JVwx0B/6hqkOxTAH3ZFMgsSqqPQdMUtUvI99Ta5rSpH7DWZBvIvAXVd2Vb7KJyNeBk7G+43KslOdn54t8bvppYvmKscypv1PVIcAhLBNMk8gnIiOxFP+d2ZIhliatuZuvqOo/gQsAROREYEywvQ64PXSciPwDy24XYgGwTVXn55l8+4AaIFTt7BmsCysriH1Ftc9E5FhV/UREjgU+D7ZXEb1K6h5sqwJGxLS/lkfynQGcLSITgXZAiYgcVNWMFESWZLsaeFtVDwb7/GtQ3hWZyJaGfKn2kzFZkm8XsEtVQ6uQZ8mS4k9VPhEZCDyMtUe4L9js9L2njZnx2yAiRwf/9wA/Bx4Kvm4TWgKKyPlAnapuCb6+G8tWOCnf5AvOKl6gQbGOArZkSRanimpLgZBnznVY9s1Q+7VicTpwILjsfRm4QEQ6Br0cLgi25YV8qnqVqvZU1V5Y5p7Hs6D0s3XuPgbOCZr4vMA5QMamnjTkS7WfvJBPVT8FdopI32BTVn4fqconIj2xJmfXqGrkhHIV0EdEeotICfC9YB/pk8vNjObwwDLNfAL4se78NwA/wZop/wuYQ8NGai+sjZn3gVexUp6CdQfWYPv64OPGfJEv+N5xwBvARqz9h55Zkm948G/fGPG3Xwh0Do6zLShLp+DxgrUJ/QGwCaiI6GsC8O/g4wf5Jl9En9eTHa+erMiG5fXx++D3vgW4t4nO3deC1+iXQHXweXunfvJFvuB7g7FMpBuBSrLjUZaqfA8DX0Qcuzqirwuxfu8fAP+ZqWwmZYPBYDAUGMbUYzAYDAWGUfwGg8FQYBjFbzAYDAWGUfwGg8FQYBjFbzAYDAWGUfwGQwxiZWqcGHzeTUSebWqZDIZsYtw5DYYYgnlVXlTV/k0sisGQE0zKBoMhnjnACSKyHivI5mRV7S8i1wPjgLZAH6x8RyXANcARrKCk/SJyAlagVVesVBk3qZVmw2DIC4ypx2CIZyrwgaoOBibHvNcfuJSGvO41aiX2egu4NnjMAuBWVR2Gld7hwUaR2mBwiZnxGwypsVxVvwK+EpEDWDmQwEqhMDCYifFM4BlpKILVqvHFNBicMYrfYEiNIxHPAxGvA1i/Jw9QHVwtGAx5iTH1GAzxfIVV5yBl1Mq3vl1ELodwndxBST5mMDQqRvEbDDGolQf9TbEK3M9Lo4urgBtEZAPR1dIMhrzAuHMaDAZDgWFm/AaDwVBgGMVvMBgMBYZR/AaDwVBgGMVvMBgMBYZR/AaDwVBgGMVvMBgMBYZR/AaDwVBg/H+F9dj76OokhgAAAABJRU5ErkJggg==\n", 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\n", 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Z3pOI1BwlkerqOgqumgHN2gAW3F81IyiP0ezZs/ne975Xpuzqq68+7pDWHXfcwdNPP023bt3YsmVLmQtBRWPGjBnk5ubStWtXOnfuzB//+EcA7rvvPpYuXUpWVhbz58/nnHPOAWDIkCEcOXKECy64gPHjx9O3b9+I7f76178mIyODzp07k52dzbBhw2jatCktW7Zk6tSpDBgwgG7dutGrVy9GjAhW6586dSrDhg3joosuomXLllXG3rVrV1JSUujWrRvTp08HgisYNm3aVEu6i9SihC4FXxfl5OR4bm5umTIt/Z2cPv30U/r378+WLVto0CB+v4f09yBSVq0sBS+SSM888wwXXngh999/f1wTiIhUjwbWJSnddNNN3HTTTbUdhki9p59wofp2WE8i09+BSPUoiQCNGzdm9+7d+gKp59yd3bt3Rz0FWkR0OAuAzMxM8vLyKCgoqO1QpJY1btyYzMzYz/kRqW+URIDU1FTatWtX22GIiCQdHc4SEZGYKYmIiEjMlERERCRmSiIiIhIzJREREYmZkoiIiMRMSURERGKmJCIiIjFTEhERkZgpiYiISMyUREREJGYJTyJmlmJmq81sUfh8lpltNbMNZjbTzFLDcjOzGWa2zczWmVnPUm2MMbMPw9uYUuW9zGx9+JoZZmaJ/jwiIvKNmuiJ3AVsLvV8FnA+0AVIA24Ny68AOoa324E/AJjZGcB9wIVAH+A+M2sevuYPwG2lXjckkR9ERETKSmgSMbNMYCjwRHGZu7/qIWAFULzu9gjgmXDTe0C6mbUEBgOvu/sed/8CeB0YEm5r6u7vhW09A4xM5OcREZGyEt0TeRi4BzhWfkN4GOuHwF/DotbAjlJV8sKyysrzIpQfx8xuN7NcM8vVNUNEROInYUnEzIYBu9x9ZQVVHgWWuvuyRMVQzN0fc/ccd8/JyMhI9NuJiNQbibwo1XeA4WZ2JdAYaGpmf3b3G83sPiAD+HGp+vlAm1LPM8OyfKB/ufK3wvLMCPVFRBJq4ep8pi3eyqd7C2mVnsbdgzsxskfEAyEnvYT1RNx9grtnuntbYDTwZphAbiUY57je3Usf5noJuCmcpdUX2OfunwGLgUFm1jwcUB8ELA637TezvuGsrJuAFxP1eUREIEggE+avJ39vIQ7k7y1kwvz1LFxdP3/D1sZ5In8EWgDvmtkaM5sYlr8K/BPYBjwO3AHg7nuAXwHvh7cpYRlhnSfC13wEvFZTH0JE6qdpi7dSWHS0TFlh0VGmLd5aSxHVrhq5xrq7v0VwCAp3j/ie4Qyrn1SwbSYwM0J5LpAdrzhFRKry6d7CapWf7HTGuohINbRKT6tW+clOSUREpBruHtyJtNSUMmVpqSncPbhTLUVUu2rkcJaIyMmieBaWZmcFlERERKppZI/W9TZplKfDWSIiEjMlERERiZmSiIiIxExJREREYqYkIiIiMVMSERGRmCmJiIhIzJREREQkZkoiIiIns3VzYXo2TEoP7tfNjWvzVSaR8PoeNxYv2W5m55hZn7hGISIi8bduLrw8DvbtADy4f3lcXBNJND2RR4F+wPXh8y+B38ctAhERSYy/TYGickvUFxUG5XESzdpZF7p7TzNbDeDuX5jZKXGLQEREEmNfXvXKYxBNT6TIzFIABzCzDOBY5S8REZFa1yyzeuUxiCaJzAAWAGeb2f3AO8B/xi0CERFJjIETIbXcxbJS04LyOKnycJa7zzKzlcBAwICR7r45bhGIiEhidB0V3P9tSnAIq1lmkECKy+Mg2uuJ7ASWhfXTzKynu6+KWxQiUq8tXJ2vizwlStdRcU0a5VWZRMzsV8BY4CPCcZHw/rKERSUi9cbC1flMmL+ewqKjAOTvLWTC/PUASiRJIJqeyCigvbt/nehgRKT+mbZ4a0kCKVZYdJRpi7cqiSSBaAbWNwDpiQ5EROqnT/cWVqtc6pZoeiIPAKvNbANwuLjQ3YcnLCoRqTdapaeRHyFhtEpPi1Bb6ppoksjTwIPAenR+iIjE2d2DO5UZEwFIS03h7sGdajEqiVY0SeSgu89IeCQiUi8Vj3todlZyiiaJLDOzB4CXKHs4K6opvuHZ7rlAvrsPM7N2wBzgTGAl8EN3/9rMGgHPAL2A3cB17r49bGMCcAtwFBjn7ovD8iHAfwEpwBPuPjWamESkbhnZo7WSRpKKJon0CO/7liqrzhTfu4DNQNPw+YPAdHefY2Z/JEgOfwjvv3D3DmY2Oqx3nZl1BkYDWUAr4A0zOy9s6/fA5UAe8L6ZveTum6KMS0RETlCVs7PcfUCEW1QJxMwygaHAE+FzI0g+88IqTwMjw8cjwueE2weG9UcAc9z9sLt/DGwD+oS3be7+z3D68ZywroiI1JBorifSzMweMrPc8Pb/zKxZlO0/DNzDNwPyZwJ73f1I+DwPKO7DtgZ2AITb94X1S8rLvaai8kif4fbi+AsKCqIMXUREqhLNeSIzCa4hMiq87Qf+VNWLzGwYsMvdV55QhHHg7o+5e46752RkZNR2OCIiJ41oxkTau/vVpZ5PNrM1UbzuO8BwM7sSaEwwJvJfQLqZNQx7G5lAflg/H2gD5JlZQ6AZwQB7cXmx0q+pqFxERGpAND2RQjO7uPiJmX0HqPJUUnef4O6Z7t6WYGD8TXe/AVgCXBNWGwO8GD5+KXxOuP1Nd/ewfLSZNQpndnUEVgDvAx3NrF14kazRYV0REakh0fRE/g14utQ4yBcECzLG6l5gjpn9GlgNPBmWPwk8a2bbgD0ESQF332hmc4FNwBHgJ+5+FMDM7gQWE0zxnenuG08gLhERqSYLfuxHUdGsKYC7709oRAmWk5Pjubm5tR2GiEjSMLOV7p4TaVs0s7P+08zS3X2/u+83s+ZhL0JEROq5aMZErnD3vcVP3P0L4MrEhSQiIskimiSSEi5JAoCZpQGNKqkvIiL1RDQD67OAv5lZ8bkhN/PNmeUiIlKPVZlE3P1BM1sHDAyLflW8AKKIiNRv0fREcPfXgNcSHIuIiCSZaGZnfd/MPjSzfWa238y+NLOknuYrIiLxEU1P5DfAVe6+OdHBiIhIcolmdtZOJRAREYkkmp5Irpk9Dyyk7JUN5ycsKhERSQrRJJGmwEFgUKkyB5RERETquWim+N5cE4GIiEjyqTCJmNkjBD2OiNx9XEIiEpG4WLg6n2mLt/Lp3kJapadx9+BOjOwR8eKfIjGrrCeipW5FktTC1flMmL+ewqKjAOTvLWTC/PUASiQSVxUmEXfX0iYiSWra4q0lCaRYYdFRpi3eqiQicRXNFF8RSTKf7o188dGKykVipSQichJqlZ5WrXKRWCmJiJyE7h7cibTUlDJlaakp3D24Uy1FJCerKqf4mlkGcBvQtnR9d/9R4sISkRNRPO6h2VmSaNGcbPgisAx4AzhaRV0RqSNG9mitpCEJF00SaeLu9yY8EhERSTrRjIksMjNdU11ERI4TTU/kLuAXZnYYKAIMcHdvmtDIROoYnQEucrxo1s46vSYCEanLdAa4SGRRTfE1s+Zm1sfMLi2+JTowkbqksjPAReqzaKb43kpwSCsTWAP0Bd4FLktsaCJ1h84AF4ksmp7IXUBv4BN3HwD0APZW9SIza2xmK8xsrZltNLPJYflAM1tlZmvM7B0z6xCWNzKz581sm5ktN7O2pdqaEJZvNbPBpcqHhGXbzGx8tT65SDXoDHCRyKJJIofc/RAEX/TuvgWI5rTXw8Bl7t4N6A4MMbO+wB+AG9y9O/Ac8H/D+rcAX7h7B2A68GD4np2B0UAWMAR41MxSzCwF+D1wBdAZuD6sW68tXJ3Pd6a+Sbvxr/CdqW+ycHV+bYd0UtAZ4CKRRTM7K8/M0gkuj/u6mX0BfFLVi9zdgQPh09Tw5uGteGZXM+DT8PEIYFL4eB7wOzOzsHyOux8GPjazbUCfsN42d/8ngJnNCetuiuIzVUuyzMpJxsHfZNm3OgNcJLJoZmd9L3w4ycyWEHzx/zWaxsPewkqgA/B7d18ejrG8amaFwH6CMRaA1sCO8D2PmNk+4Myw/L1SzeaFZRTXL1V+YQVx3A7cDnDOOedEE3qJZPpiTrblv5Np34LOABeJpMLDWWbWNLw/o/gGrAfeAU6LpnF3PxoetsoE+phZNvBz4Ep3zwT+BDx0gp8hmjgec/ccd8/JyMio1muTaVZOsg3+JtO+FZHIKuuJPAcMI+hJOMFJhsUcODfaN3H3vWEv5gqgm7svDzc9zze9mnygDcHhs4YEPZ7dpcqLZYZlVFIeN8n0xdwqPY38CHHV1cHfZNq3IhJZhT0Rdx8W3rdz93PD++JblQnEzDLCsRTMLA24HNgMNDOz88JqxWUALwFjwsfXAG+G4yovAaPD2VvtgI7ACuB9oKOZtTOzUwgG31+q1qePQjLNykm2wd9k2rciElmFPREz61nZC919VRVttwSeDsdFGgBz3X2Rmd0G/MXMjgFfAMVLyj8JPBsOnO8hSAq4+0Yzm0swYH4E+Im7Hw1jvBNYDKQAM919YxUxVdvdgzuVOW4PdfeLOdkGf5Np34pIZBb82I+wITj8BNAYyAHWEhzS6grkunu/GokwznJycjw3N7dar0mWGUTJSPtWpO4zs5XunhNxW0VJpNSL5wP3ufv68Hk2MMndr4l7pDUgliQiIlKfVZZEojnZsFNxAgFw9w3ABfEKTkQk6aybC9OzYVJ6cL9ubm1HVGuiOdlwnZk9Afw5fH4DsC5xIYmI1GHr5sLL46AonEW4b0fwHKDrqNqLq5ZE0xO5GdhIsIbWXQQD3DcnMigRkTrrb1O+SSDFigqD8noomjPWD5nZH4FX3V1ngYlI/bYvr3rlJ7kqeyJmNpxgCfi/hs+7m1ncz8cQEUkKzTKrV36Si+Zw1n0ECx7uBXD3NUC7RAYlIlJnDZwIqeVOiE1NC8rroWiSSJG77ytXVvm8YBGRk1XXUXDVDGjWBrDg/qoZ9XJQHaKbnbXRzH4ApJhZR2Ac8I/EhiUiUod1HVVvk0Z50fREfkpwQajDwGyC5dt/lsigREQkOUQzO+sg8H/Cm4iISInKFmCsdAaWuw+PfzgiIpJMKuuJ9CO4cuBsYDllryciIiJSaRL5FsH1Pq4HfgC8AsxOxHLrIiKSnCq7KNVRd/+ru48huA76NuCt8BoeIiIilQ+sm1kjYChBb6QtMANYkPiwREQkGVQ2sP4MkA28CkwOl4AXEREpUVlP5EbgK4KVe8eZlYyrG+Du3jTBsYmISB1XYRJx92hORBQRkXpMiUJERGKmJCIiIjFTEhERkZgpiYiISMyUREREJGZKIiIiEjMlERERiZmSiIiIxCxhScTMGpvZCjNba2YbzWxyWG5mdr+ZfWBmm81sXKnyGWa2zczWmVnPUm2NMbMPw9uYUuW9zGx9+JoZVuq0ehERSbxorrEeq8PAZe5+wMxSgXfM7DXgAqANcL67HzOzs8P6VwAdw9uFwB+AC83sDOA+IAdwYKWZveTuX4R1biO43smrwBDgtQR+JhERKSVhPREPHAifpoY3B/4NmOLux8J6u8I6I4Bnwte9B6SbWUtgMPC6u+8JE8frwJBwW1N3f8/dHXgGGJmozyMiCbRuLkzPhknpwf26ubUdkUQpoWMiZpZiZmuAXQSJYDnQHrjOzHLN7DUz6xhWb01wJcVieWFZZeV5EcojxXF7+H65BQUF8fhoIhIv6+bCy+Ng3w7Ag/uXxymRJImEJpHwwlbdgUygj5llA42AQ+6eAzwOzExkDGEcj7l7jrvnZGRkJPrtRKQ6/jYFigrLlhUVBuVS59XI7Cx33wssIRizyAPmh5sWAF3Dx/kEYyXFMsOyysozI5SLSDLZl1e9cqlTEjk7K8PM0sPHaQTXa98CLAQGhNW+C3wQPn4JuCmcpdUX2OfunwGLgUFm1tzMmgODgMXhtv1m1jeclXUT8GKiPo+IJEizzOqVS52SyNlZLYGnzSyFIFnNdfdFZvYOMMvMfg4cAG4N678KXElwLfeDwM0A7r7HzH4FvB/Wm+Lue8LHdwBPAWkEs7I0M0sk2QycGIyBlD6klZoWlEudZ8HEpvojJyfHc3NzazsMESlt3dxgDGRfXtADGTgRuo6q7agkZGYrw3Hs4ySyJyIiEodb4NwAAAmPSURBVJ2uo5Q0kpSWPRERkZgpiYiISMyUREREJGZKIiIiEjMlERERiZmSiIiIxExJREREYqYkIiIiMVMSERGRmCmJiIhIzJREREQkZkoiIiISMyURERGJmZKIiIjETElERERipiQiIiIxUxIREZGYKYmIiEjMlERERCRmSiIiIhIzJREREYmZkoiIiMRMSURERGKmJCIiIjFTEhE5Wa2bC9OzYVJ6cL9ubm1HJCehhCURM2tsZivMbK2ZbTSzyeW2zzCzA6WeNzKz581sm5ktN7O2pbZNCMu3mtngUuVDwrJtZjY+UZ9FJOmsmwsvj4N9OwAP7l8ep0QicZfInshh4DJ37wZ0B4aYWV8AM8sBmperfwvwhbt3AKYDD4Z1OwOjgSxgCPComaWYWQrwe+AKoDNwfVhXRP42BYoKy5YVFQblInGUsCTigeKeRmp48/DLfxpwT7mXjACeDh/PAwaamYXlc9z9sLt/DGwD+oS3be7+T3f/GpgT1hWRfXnVKxeJUULHRMIewxpgF/C6uy8H7gRecvfPylVvDewAcPcjwD7gzNLlobywrKLySHHcbma5ZpZbUFBw4h9MpK5rllm9cpEYJTSJuPtRd+8OZAJ9zOxS4FrgkUS+b4Q4HnP3HHfPycjIqMm3FqkdAydCalrZstS0oFwkjmpkdpa77wWWAAOADsA2M9sONDGzbWG1fKANgJk1BJoBu0uXhzLDsorKRaTrKLhqBjRrA1hwf9WMoFwkjhomqmEzywCK3H2vmaUBlwMPuvu3StU5EA6kA7wEjAHeBa4B3nR3N7OXgOfM7CGgFdARWAEY0NHM2hEkj9HADxL1eUSSTtdRShqScAlLIkBL4OlwIL0BMNfdF1VS/0ng2bBnsocgKeDuG81sLrAJOAL8xN2PApjZncBiIAWY6e4bE/ZpRETkOObutR1DjcrJyfHc3NzaDiNx1s0NpnHuywsGUQdO1K/ReNG+lXrKzFa6e06kbYnsiZw8kuXLo/gEs+LzA4pPMIO6GW8y0b4ViUjLnlQlmc781QlmiaN9KxKRkkhVkunLQyeYJY72rUhESiJVSaYvD51gljjatyIRKYlUJZm+PJLxBLNkWWk2GfetSA1QEqlKMn15JNsJZsk03pRs+1akhmiKbzSSZXZWspmeHSaQcpq1gZ9vqPl4RCQiTfE9UTrzNzGSabxJRCLS4SypPck03iQiESmJSO1JpvEmEYlISURqjwarRZKexkSkdmm8SSSpqSciIiIxUxIREZGYKYmIiEjMlERERCRmSiIiIhKzerfsiZkVAJ/E8NKzgM/jHE4iJVO8yRQrJFe8yRQrJFe8yRQrnFi833b3jEgb6l0SiZWZ5Va0dkxdlEzxJlOskFzxJlOskFzxJlOskLh4dThLRERipiQiIiIxUxKJ3mO1HUA1JVO8yRQrJFe8yRQrJFe8yRQrJChejYmIiEjM1BMREZGYKYmIiEjM6m0SMbM2ZrbEzDaZ2UYzuyssP8PMXjezD8P75mH5+Wb2rpkdNrP/KNfWTDPbZWYJu6ZrvOKtqJ06GmtjM1thZmvDdibHO9Z4xluqvRQzW21mi+pyrGa23czWm9kaM6vmNaNrJd50M5tnZlvMbLOZ9auLsZpZp3CfFt/2m9nP4hlrPOMNt/08bGODmc02s8ZRB+Lu9fIGtAR6ho9PBz4AOgO/AcaH5eOBB8PHZwO9gfuB/yjX1qVAT2BDXY+3onbqaKwGnBY+TgWWA33r6r4t1d7/Bp4DFtXlWIHtwFmJ+ptNQLxPA7eGj08B0utqrKXaTAH+h+BkvTq5b4HWwMdAWvh8LjA22jjqbU/E3T9z91Xh4y+BzQQ7cwTBHyvh/ciwzi53fx8oitDWUmBPMsRbSTt1MVZ39wPh09TwFveZIPH8WzCzTGAo8ES844x3rDUhXvGaWTOCH2tPhvW+dve9dTHWcgYCH7l7LKtk1GS8DYE0M2sINAE+jTaOeptESjOztkAPgl+6Ldz9s3DT/wAtaimsCsUr3nLtJMSJxhoeGloD7AJed/eExRq+X1tObN8+DNwDHEtEfKXFIVYH/tvMVprZ7QkJspQTjLcdUAD8KTxU+ISZnVpHYy1tNDA7rsFFcCLxuns+8FvgX8BnwD53/+9o37veJxEzOw34C/Azd99fepsHfbs6NQc6XvFW1k68xCNWdz/q7t2BTKCPmWUnIlY48XjNbBiwy91XJirGUu8Vj7+Di929J3AF8BMzuzT+kQbiEG9DgkPGf3D3HsBXBIdq6mKsxe2cAgwHXoh7kGXf50T/bpsT9F7aAa2AU83sxmjfv14nETNLJdj5s9x9fli808xahttbEvwCrhPiFW8F7dTJWIuFhy6WAEPiHWsYTzzi/Q4w3My2A3OAy8zsz3U01uJfoLj7LmAB0CfescYx3jwgr1RPdB5BUqmLsRa7Aljl7jvjHWexOMX7v4CP3b3A3YuA+cBF0cZQb5OImRnB8dXN7v5QqU0vAWPCx2OAF2s6tkjiFW8l7dTFWDPMLD18nAZcDmypq/G6+wR3z3T3tgSHMd5096h/0dVkrGZ2qpmdXvwYGATEfXZhHPft/wA7zKxTWDQQ2FQXYy3lehJ4KCuO8f4L6GtmTcI2BxKMr0Sn/Eh7fbkBFxN089YBa8LblcCZwN+AD4E3gDPC+t8i+DW0H9gbPm4abptNcCyxKCy/pa7GW1E7dTTWrsDqsJ0NwMS6/rdQqs3+JGZ2Vrz27bnA2vC2Efg/dX3fAt2B3LCthUDzOhzrqcBuoFki9msC4p1M8ANtA/As0CjaOLTsiYiIxKzeHs4SEZETpyQiIiIxUxIREZGYKYmIiEjMlERERCRmSiIiCWTByrN3hI9bmdm82o5JJJ40xVckgcI1jRa5e8KWaxGpTQ1rOwCRk9xUoH24iOSHwAXunm1mYwlWVz0V6EiwAN4pwA+BwwQngO4xs/bA74EM4CBwm7vH/ax9kVjpcJZIYo0nWAq8O3B3uW3ZwPf55hoPBz1YXPBd4KawzmPAT929F/AfwKM1ErVIlNQTEak9Szy4DsSXZrYPeDksXw90DVdnvQh4IVjSCIBGNR+mSMWURERqz+FSj4+Ven6M4P9mA2Bv2IsRqZN0OEsksb4kuHRptXlwbYiPzexaCFZtNbNu8QxO5EQpiYgkkLvvBv5uZhuAaTE0cQNwi5kVr7Y7Ip7xiZwoTfEVEZGYqSciIiIxUxIREZGYKYmIiEjMlERERCRmSiIiIhIzJREREYmZkoiIiMTs/wOJ8Sv5AAr0ywAAAABJRU5ErkJggg==\n", 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mlwPPhvfTgH4W9bm9HJjs7nvd/V1gA9ArvDa4+9/d/TNgcthWRETqSLrPRB4jKhafx8RGArPcfXOlbdsAmwDcfT+wEzghNh6Uhlh18SrMbISZlZhZiXpgiYikTtqKiJldCnzo7ktjYq2Bq4A6fVzZ3Se4e7G7FxcUFNTloUVEGrR0dvHtDQwys4FAM6AFsBbYC2wIT4d/ycw2hPsgZUBboNTMmgAtgW0x8QqFIUYNcRERqQNpOxNx99HuXuju7YhujM9z9+Pc/WR3bxfin4YCAjALGB7eXxm29xAfFnpvtQc6AIuBJUAHM2tvZkeHY8xK1+cREZGqMulhw98AvzWzDcB2oqKAu681s6nAOmA/8AN3PwBgZiOBuUAO8JS7r62XzEVEGinNJyIiIjWqaT4RPbEuIiJJUxEREZGkqYiIiEjSVERERCRpKiIiIrW1aio8WgT35Uc/V02t74zqTSZ18RURyXyrpsILt8G+8mh556ZoGaDr0PrLq57oTEREpDZeHftFAamwrzyKN0IqIiIitbGztHbxBk5FRESkNloW1i7ewKmIiIjURr97ITfv0FhuXhRvhFRERERqo+tQuGw8tGwLWPTzsvGN8qY6qHeWiEjtdR3aaItGZToTERGRpKmIiIhI0lREREQkaSoiIiKSNBURERFJmoqIiIgkLe1FxMxyzGy5mc0Oy78xs5VmtsrMpplZ8xBvamZTzGyDmS0ys3YxbYwO8fVm1j8mPiDENpjZPen+LCIicqi6OBO5HXgzZvkOdz/T3bsC/wuMDPGbgI/d/TTgUeBnAGbWCRgGdAYGAE+EwpQD/BK4GOgEXBO2FRGROpLWImJmhcAlwMSKmLvvCusMyAM8rLoceDa8nwb0C9tcDkx2973u/i6wAegVXhvc/e/u/hkwOWwrIiJ1JN1nIo8BdwGfxwbN7GngA+AM4PEQbgNsAnD3/cBO4ITYeFAaYtXFqzCzEWZWYmYlW7duPcKPJCIiFdJWRMzsUuBDd19aeZ273wi0JrrMdXW6cog53gR3L3b34oKCgnQfTkSk0ThsEbHIdWZ2b1j+spn1SqDt3sAgM9tIdKmpr5n9rmKlux8I8W+FUBnQNhyjCdAS2BYbDwpDrLq4iIjUkUTORJ4AzgWuCcufEN3QrpG7j3b3QndvR3RjfB7wHTM7DQ7eExkEvBV2mQUMD++vBOa5u4f4sNB7qz3QAVgMLAE6mFl7Mzs6HGNWAp9HRERSJJFRfM929x5mthzA3T8Of7STYcCzZtYivF8J/HNY9xvgt2a2AdhOVBRw97VmNhVYB+wHfhDOYjCzkcBcIAd4yt3XJpmXiIgkIZEisi90p3UAMyug0o3yw3H3BcCCsNi7mm32AFdVs+4B4IE48TnAnNrkIiIiqZPI5azxwAzgRDN7AHgd+I+0ZiUiIlnhsGci7v6cmS0F+hFdghrs7m8eZjcREWkEEp3ZcAuwMGyfZ2Y93H1Z+tISEZFscNgiYmY/AW4A/sYXT5c70Dd9aYmISDZI5ExkKHBqGFpERETkoERurK8B8tOdiIiIZJ9EzkQeBJab2Rpgb0XQ3QelLSsREckKiRSRZ4mGZV9NLZ8PERGRhi2RIvKpu49PeyYiIpJ1EikiC83sQaJxqWIvZ6mLr4hII5dIEekefp4TE1MXXxERSeiJ9QvqIhEREck+icwn0tLMHqmYGdDM/tPMWtZFciIiktkSeU7kKaI5RIaG1y7g6XQmJSIi2SGReyKnuvu3YpbvN7MV6UpIRESyRyJnIuVm9vWKBTPrDZSnLyUREckWiZyJ/DPRbIQV90E+JhqQUUREGrlEemetAM4MU9ri7rvSnpWINC6rpsKrY2FnKbQshH73Qteh9Z2VJCCR3ln/YWb57r7L3XeZ2XFm9tNED2BmOWa23Mxmh+XnzGy9ma0xs6fMLDfEzczGm9kGM1tlZj1i2hhuZu+E1/CYeE8zWx32GW9mVruPLyL1btVUeOE22LkJ8OjnC7dFccl4idwTudjdd1QsuPvHwMBaHON2IHYmxOeAM4AuQB5wc8VxgA7hNQJ4EsDMjgfGAGcDvYAxZnZc2OdJ4JaY/QbUIi8RyQSvjoV9lW6z7iuP4pLxEikiOWbWtGLBzPKApjVsf5CZFQKXABMrYu4+xwNgMVAYVl0OTAqr3gDyzewUoD/wsrtvDwXsZWBAWNfC3d8IbU0CBieSl4hkkJ2ltYtLRkmkiDwHvGpmN5nZTUR/xJ9NsP3HgLuIM/pvuIz1HeC/Q6gNsClmk9IQqyleGidehZmNqHhYcuvWrQmmLiJ1omVh7eKSUQ5bRNz9Z8ADwNfC6yfu/vPD7WdmlwIfuvvSajZ5AnjN3RfWIt+kuPsEdy929+KCgoJ0H05EaqPfvZCbd2gsNy+KS8ZLpIsv7v4S8FIt2+4NDDKzgUAzoIWZ/c7drzOzMUAB8L2Y7cuAtjHLhSFWBvSpFF8Q4oVxtheRbFLRC0u9s7LSYYuImQ0hmpTqRMDCy929RU37uftoYHRoow9wZyggNxPd5+jn7rGXuWYBI81sMtFN9J3uvtnM5gL/EXMz/SJgtLtvN7NdZnYOsAi4Hng80Q8uIhmk61AVjSyVyJnIz4HL3P3Nw26ZmF8B7wF/DT1yp7v7WGAOUa+vDcCnwI0AoVj8BFgS9h/r7tvD+1uBZ4h6eSVztiQiUmszl5cxbu563t9RTuv8PEb178jg7nFvyTZ4FnVsqmEDsz+7e+86yiftiouLvaSkpL7TEJEsNXN5GaOnr6Z834GDsbzcHB4c0qXBFhIzW+ruxfHWJXImUmJmU4CZHDqz4fQU5ScikjXGzV1/SAEBKN93gHFz1zfYIlKTRIpIC6LLSxfFxBxQERGRRuf9HfHHn60u3tAlMnbWjXWRiIhINmidn0dZnILROj8vztYNX7VFxMweJzrjiMvdb0tLRiIiGWxU/45x74mM6t+xHrOqPzWdiejus4hIJRX3PdQ7K1JtEXH3RIc2ERFpVAZ3b9Noi0ZliYydJSIiEpeKiIiIJE1FREREkpbI2FkFRBM/tYvd3t2/m760REQkGyTysOHzwELgFeDAYbYVEZFGJJEi8iV3vzvtmYiISNZJ5J7I7DAniIiIyCESKSK3ExWS8jB/xydmtivdiYmISOZLZOysY+siERFJsVVTNVugpF1C0+OGWQU7EE1zC4C7v5aupETkCK2aCi/cBvvCQIE7N0XLoEIiKXXYy1lhOtvXgLnA/eHnfelNS0SOyKtjvyggFfaVR3GRFEr0nshZwHvufgHQHdiR6AHMLMfMlpvZ7LA80sw2mJmbWauY7czMxod1q8ysR8y64Wb2TngNj4n3NLPVYZ/xFubbFWn0dpbWLi6SpESKyB533wNgZk3d/S2gNmMe3w7Ezs/+Z+CbRPOsx7qY6JJZB2AE8GQ45vHAGOBsoBcwJlxeI2xzS8x+A2qRl0jD1bKwdnGRJCVSRErNLJ9oetyXzex5qhaAuMysELgEmFgRc/fl7r4xzuaXA5M88gaQb2anAP2Bl919u7t/DLwMDAjrWrj7Gx5NFD8JGJxIXiINXr97IbfSJEm5eVFcJIUS6Z11RXh7n5nNB1oC/51g+48BdwGJ9PBqA2yKWS4NsZripXHiIumRTb2dKvLKlnwla9U0s2ELd98VLidVWB1+Nge219SwmV0KfOjuS82szxFnegTMbATRJTK+/OUv12cqkq2ysbdT16GZm5s0GDVdzvp9+LmUaJbDpTGvRGY97A0MMrONwGSgr5n9robty4C2McuFIVZTvDBOvAp3n+Duxe5eXFBQkEDqIpWot5NIXNUWEXe/NPxs7+5fDT8rXl89XMPuPtrdC929HTAMmOfu19Wwyyzg+tBL6xxgp7tvJupSfJGZHRduqF8EzA3rdpnZOaFX1vVEg0WKpJ56O4nEVdPlrB7VrQNw92XJHNDMbiO6T3IysMrM5rj7zcAcYCCwAfgUuDEcZ7uZ/QRYEpoY6+4Vl9JuBZ4B8oCXwksk9VoWRpew4sVFGjGLOjbFWRHdRIfoKfViYCVgQFegxN3PrZMMU6y4uNhLShK5GicSo/I9EYh6O102XvcdpMEzs6XuXhxvXU2Xsy4IDxduBnqEewo9iR42jHvvQaTB6jo0Khgt2wIW/VQBEUlo7KyO7l7RKwt3X2NmX0tjTiKZSb2dRKpIpIisMrOJQEXPqm8Dq9KXkoiIZItEisiNwD8TDV8C0WCMT6YtIxERyRqJPLG+x8x+Bcxx9/V1kJOIiGSJRIaCHwSsIAx1YmbdzGxWuhMTEZHMl8gAjGOIRs/dAeDuK4D26UxKRESyQyL3RPa5+85KU3XEf7ikocqmgfeyKVeRYObyMsbNXc/7O8ppnZ/HqP4dGdxd46lmg0SKyFozuxbIMbMOwG3AX9KbVgbJpoH3silXkWDm8jJGT19N+b4DAJTtKGf09OipAhWSzJfI5awfAp2BvcAfgF3Av6QzqYySTQPvZVOuFVZNhUeL4L786OeqqfWdkdSxcXPXHywgFcr3HWDcXPXjyQaJ9M76FPj38Gp8smngvWzKFXTmJAC8v6O8VnHJLDUNwFhjDyx3H5T6dDJQNg28l025Qs1nTioijUbr/DzK4hSM1vl5cbaWTFPT5axzieboWAg8DPxnpVfjkE3TjGZTrpB9Z06SFqP6dyQvN+eQWF5uDqP6d6ynjKQ2arqcdTJwIXANcC3wIvAHd19bF4lljGyaZjSbcoXsO3OStKi4ea7eWdmp2qHgD9nIrClRMRkH3O/uv0h3YumioeAziIZXF8kKNQ0FX+ON9VA8LiEqIO2A8cCMVCcojVS2nTmJSBU13VifBBQRzTh4v7uvqbOspPHQ8OoiWa2mM5HrgH8Qjd57W8wT6wa4u7dIc24iIpLhaprZ8Ch3Pza8WsS8jq1NATGzHDNbbmazw3J7M1tkZhvMbIqZHR3iTcPyhrC+XUwbo0N8vZn1j4kPCLENZnZPMl+AiIgkL5En1o/U7cCbMcs/Ax5199OAj4GbQvwm4OMQfzRsh5l1AoYRPTU/AHgiFKYc4JfAxUAn4JqwrYiI1JG0FhEzKyS6MT8xLBvQF5gWNnkWGBzeXx6WCev7he0vBya7+153fxfYQDSqcC9gg7v/3d0/AyaHbUVEpI6k+0zkMeAu4POwfAKww933h+VSoKIzeBtgE0BYvzNsfzBeaZ/q4lWY2QgzKzGzkq1btx7pZxIRkSBtRcTMLgU+dPel6TpGotx9grsXu3txQUFBfacjItJgJDIUfLJ6A4PMbCDQDGgB/H8g38yahLONQqAsbF8GtAVKzawJ0BLYFhOvELtPdXEREakDaTsTcffR7l7o7u2IbozPc/dvA/OBK8Nmw4Hnw/tZYZmwfp5Hj9PPAoaF3lvtgQ7AYmAJ0CH09jo6HEPT9oqI1KF0nolU525gspn9FFgO/CbEfwP81sw2ANuJigLuvtbMpgLrgP3AD9z9AICZjQTmAjnAU41uXC8RkXqW0NhZDYnGzhIRqZ2axs6qi+dERESkgVIRERGRpKmIiIhI0lREREQkaSoiIiKSNBURERFJmoqIiIgkTUVERESSpiIiIiJJUxEREZGkqYiIiEjSVERERCRpKiIiIpI0FREREUmaioiIiCRNRURERJKmIiIiIklTERERkaSlrYiYWTMzW2xmK81srZndH+J9zWyZma0xs2fNrEmIm5mNN7MNZrbKzHrEtDXczN4Jr+Ex8Z5mtjrsM97MLF2fR0REqkrnmcheoK+7nwl0AwaY2XnAs8Awdy8C3gMqisLFQIfwGgE8CWBmxwNjgLOBXsAYMzsu7PMkcEvMfgPS+HlERKSStBURj+wOi7nhdQD4zN3fDvGXgW+F95cDk8J+bwD5ZnYK0B942d23u/vHYZ8BYV0Ld3/D3R2YBAxO1+cREZGq0npPxMxyzGwF8CHRH//FQBMzKw6bXAm0De/bAJtidi8NsZripXHi8fIYYWYlZlaydevWI/tQIiJyUFqLiLsfcPduQCHRpajOwDDgUTNbDHxCdHaSVu4+wd2L3b24oKAg3YcTEWk0mtTFQdx9h5nNBwa4+8PA+QBmdhFwetisjC/OSiAqPGXh1adSfEGIF8bZXkSAmcvLGDd3PST+GlgAAAoRSURBVO/vKKd1fh6j+ndkcPe4J+siSUtn76wCM8sP7/OAC4G3zOzEEGsK3A38KuwyC7g+9NI6B9jp7puBucBFZnZcuKF+ETA3rNtlZueEXlnXA8+n6/OIZJOZy8sYPX01ZTvKcaBsRzmjp69m5nL9P0tSK52Xs04B5pvZKmAJ0c3x2cAoM3sTWAW84O7zwvZzgL8DG4BfA7cCuPt24CehjSXA2BAjbDMx7PM34KU0fh6RrDFu7nrK9x16pbh83wHGzV1fTxlJQ5W2y1nuvgroHic+ChgVJ+7AD6pp6yngqTjxEqDoiJMVaWDe31Feq7hIsvTEukgD1Do/r1ZxkWSpiIg0QKP6dyQvN+eQWF5uDqP6d6ynjKShqpPeWSJStyp6Yal3lqSbiohIAzW4exsVDUk7Xc4SEZGkqYiIiEjSVERERCRpKiIiIpI0FREREUmaioiIiCRNRURERJKmIiIiIknTw4YiCdL8HCJVqYiIJKBifo6K4dUr5ucAVEikUdPlLJEEaH4OkfhUREQSoPk5ROJTERFJgObnEIlPRUQkAZqfQyS+tBURM2tmZovNbKWZrTWz+0O8n5ktM7MVZva6mZ0W4k3NbIqZbTCzRWbWLqat0SG+3sz6x8QHhNgGM7snXZ9FZHD3Njw4pAtt8vMwoE1+Hg8O6aKb6tLopbN31l6gr7vvNrNc4HUzewl4Erjc3d80s1uB/wfcANwEfOzup5nZMOBnwNVm1gkYBnQGWgOvmNnp4Ri/BC4ESoElZjbL3del8TNJI6b5OUSqSlsRcXcHdofF3PDy8GoR4i2B98P7y4H7wvtpwC/MzEJ8srvvBd41sw1Ar7DdBnf/O4CZTQ7bNuoikm3PMmRbviJyqLQ+J2JmOcBS4DTgl+6+yMxuBuaYWTmwCzgnbN4G2ATg7vvNbCdwQoi/EdNsaYhRsX1M/Oxq8hgBjAD48pe/XOvPkS1/6LLtWYZsy1dEqkrrjXV3P+Du3YBCoJeZFQF3AAPdvRB4GngknTmEPCa4e7G7FxcUFNRq34o/dGU7ynG++EM3c3lZepI9Atn2LEO25SsiVdVJ7yx33wHMBy4GznT3RWHVFOC88L4MaAtgZk2ILnVti40HhSFWXTylsukPXbY9y5Bt+YpIVensnVVgZvnhfR7RDfA3gZYxN8YrYgCzgOHh/ZXAvHBfZRYwLPTeag90ABYDS4AOZtbezI4muvk+K9WfI5v+0GXbswzZlq+IVJXOM5FTgPlmtoroD/7L7j4buAX4o5mtBL4DjArb/wY4Idw4/1fgHgB3XwtMJbph/t/AD8Jlsv3ASGAuUSGaGrZNqWz6Q5dtzzJkW74iUpVF/9lvPIqLi72kpCTh7Svf/IXoD12mPiOQLZ0AKmRbviKNkZktdffiuOtURA5Pf+hEpDGrqYhoKPgE6CEzEZH4NHaWiIgkTUVERESSpiIiIiJJUxEREZGkqYiIiEjSGl0XXzPbCryXxK6tgI9SnE46ZVO+2ZQrZFe+2ZQrZFe+2ZQrHFm+X3H3uAMPNroikiwzK6mun3QmyqZ8sylXyK58sylXyK58sylXSF++upwlIiJJUxEREZGkqYgkbkJ9J1BL2ZRvNuUK2ZVvNuUK2ZVvNuUKacpX90RERCRpOhMREZGkqYiIiEjSGm0RMbO2ZjbfzNaZ2Vozuz3Ejzezl83snfDzuBA/w8z+amZ7zezOSm09ZWYfmtmaTM+3unYyNNdmZrbYzFaGdu5Pda6pzDemvRwzW25mszM5VzPbaGarzWyFmdVufoT6yTffzKaZ2Vtm9qaZnZuJuZpZx/CdVrx2mdm/pDLXVOYb1t0R2lhjZn8ws2YJJ+LujfJFNPNij/D+WOBtoBPwc+CeEL8H+Fl4fyJwFvAAcGeltr4B9ADWZHq+1bWTobka0Dy8zwUWAedk6ncb096/Ar8HZmdyrsBGoFW6fmfTkO+zwM3h/dFAfqbmGtNmDvAB0cN6GfndAm2Ad4G8sDwVuCHRPBrtmYi7b3b3ZeH9J0RT7LYBLif6ZSX8HBy2+dDdlwD74rT1GrA9G/KtoZ1MzNXdfXdYzA2vlPcESeXvgpkVApcAE1OdZ6pzrQupytfMWhL9Z+03YbvP3H1HJuZaST/gb+6ezCgZdZlvEyDPzJoAXwLeTzSPRltEYplZO6A70f90T3L3zWHVB8BJ9ZRWtVKVb6V20uJIcw2XhlYAHwIvu3vacg3Ha8eRfbePAXcBn6cjv1gpyNWB/zGzpWY2Ii1JxjjCfNsDW4Gnw6XCiWZ2TIbmGmsY8IeUJhfHkeTr7mXAw8D/ApuBne7+P4keu9EXETNrDvwR+Bd33xW7zqNzu4zqA52qfGtqJ1VSkau7H3D3bkAh0MvMitKRKxx5vmZ2KfChuy9NV44xx0rF78HX3b0HcDHwAzP7RuozjaQg3yZEl4yfdPfuwD+ILtVkYq4V7RwNDAL+K+VJHnqcI/29PY7o7KU90Bo4xsyuS/T4jbqImFku0Zf/nLtPD+EtZnZKWH8K0f+AM0Kq8q2mnYzMtUK4dDEfGJDqXEM+qci3NzDIzDYCk4G+Zva7DM214n+guPuHwAygV6pzTWG+pUBpzJnoNKKikom5VrgYWObuW1KdZ4UU5ftN4F133+ru+4DpwHmJ5tBoi4iZGdH11Tfd/ZGYVbOA4eH9cOD5us4tnlTlW0M7mZhrgZnlh/d5wIXAW5mar7uPdvdCd29HdBljnrsn/D+6uszVzI4xs2Mr3gMXASnvXZjC7/YDYJOZdQyhfsC6TMw1xjWk8VJWCvP9X+AcM/tSaLMf0f2VxFS+095YXsDXiU7zVgErwmsgcALwKvAO8ApwfNj+ZKL/De0CdoT3LcK6PxBdS9wX4jdlar7VtZOhuXYFlod21gD3ZvrvQkybfUhP76xUfbdfBVaG11rg3zP9uwW6ASWhrZnAcRmc6zHANqBlOr7XNOR7P9F/0NYAvwWaJpqHhj0REZGkNdrLWSIicuRUREREJGkqIiIikjQVERERSZqKiIiIJE1FRCSNLBp59tbwvrWZTavvnERSSV18RdIojGk0293TNlyLSH1qUt8JiDRwDwGnhkEk3wG+5u5FZnYD0eiqxwAdiAbAOxr4DrCX6AHQ7WZ2KvBLoAD4FLjF3VP+1L5IsnQ5SyS97iEaCrwbMKrSuiJgCF/M8fCpR4ML/hW4PmwzAfihu/cE7gSeqJOsRRKkMxGR+jPfo3kgPjGzncALIb4a6BpGZz0P+K9oSCMAmtZ9miLVUxERqT97Y95/HrP8OdG/zaOAHeEsRiQj6XKWSHp9QjR1aa15NDfEu2Z2FUSjtprZmalMTuRIqYiIpJG7bwP+bGZrgHFJNPFt4CYzqxht9/JU5idypNTFV0REkqYzERERSZqKiIiIJE1FREREkqYiIiIiSVMRERGRpKmIiIhI0lREREQkaf8HcYiocgNRvZIAAAAASUVORK5CYII=\n", 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\n", 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A6znLDwKHAgOAKuCiFD8F6JdelwA/AZD0SeA64AhgOHCdpL3SPj8BLs7Z7+RSfhAzM9taSYuIpN7AacDPGmIR8UQkwBygoRXzTOCBtOpFoLuk/YBRwFMR8V5EvA88BZyc1u0ZES+mYz0AnFXKz2NmZlsr9ZXIrcDVwObGK9JtrC8B/5lCvYDc0QHrUqyleF0T8W1IukRSraRa98AyMyuekvXOknQ68G5EzJV0XBOb3AE8FxGzSpVDg4i4E7gTsrGzSn0+M9u5TZ23nEkzFvOX1WvZv3sVV406hLOGNPk37E6vlFciRwOjJb0NTAZOkPQfAJKuA3oC/5Kz/XLggJzl3inWUrx3E3Ezs5KZOm85Ex5dwPLVawlg+eq1THh0AVPndc5fPyUrIhExISJ6R0Qf4DzgmYi4QNJFZO0cX4iI3Ntc04Avp15aI4D6iFgBzABOkrRXalA/CZiR1n0gaUTqlfVl4Nel+jxmZgCTZixm7YatZwldu2ETk2YsbqeM2ld7PGz4U+BPwAupR+6jETEReAI4FVgKfAhcCBAR70n6LvBS2n9iRLyX3l8K3EfWy+vJ9DIzK5m/rF7bqvjOrk2KSEQ8Czyb3jd5ztTD6rJm1t0D3NNEvBaoLlaeZmbbs3/3KpY3UTD2717VxNY7Pz+xbmbWCleNOoSqyoqtYlWVFVw16pB2yqh9eewsM7NWaOiF5d5ZGRcRM7NWOmtIr05bNBrz7SwzMyuYi4iZmRXMRcTMzArmImJmZgVzETEzs4K5iJiZWcFcRMzMrGAuImZmVjAXETMzK5iLiJmZFczDnphZu/NMgeXLRcTM2lXDTIENEz01zBQIuJCUAd/OMrN25ZkCy5uLiJm1K88UWN5cRMysXTU3I2BnnSmw3LiImFm78kyB5a3kRURShaR5kqan5b6SZktaKulhSbuleJe0vDSt75NzjAkpvljSqJz4ySm2VNI1pf4sZlZ8Zw3pxY1nD6BX9yoE9OpexY1nD3Cjeploi95ZXwdeB/ZMyz8AfhQRkyX9FPgq8JP08/2IOEjSeWm7sZL6A+cBhwH7A7+VdHA61u3AiUAd8JKkaRHxWht8JjMrIs8UWL5KeiUiqTdwGvCztCzgBOCRtMn9wFnp/ZlpmbR+ZNr+TGByRKyPiLeApcDw9FoaEX+MiI+AyWlbMzNrI6W+nXUrcDWwOS33AFZHxMa0XAc0/PnRC1gGkNbXp+23xBvt01x8G5IukVQrqXblypU7+pnMzCzZbhFR5gJJ16blT0sansd+pwPvRsTcIuS5QyLizoioiYianj17tnc6ZmY7jXzaRO4gu5I4AZgI/A34FXD4dvY7Ghgt6VSgK1mbyP8GukvaNV1t9AaWp+2XAwcAdZJ2BboBq3LiDXL3aS5uZmZtIJ/bWUdExGXAOoCIeB/YbXs7RcSEiOgdEX3IGsafiYgvAjOBc9Jm44Bfp/fT0jJp/TMRESl+Xuq91RfoB8wBXgL6pd5eu6VzTMvj85iZWZHkcyWyQVIFEACSevJxG0chvgVMlvQ9YB5wd4rfDfxc0lLgPbKiQEQskjQFeA3YCFwWEZtSLpcDM4AK4J6IWLQDeZmZWSsp+2O/hQ2kLwJjgaFkvafOAf5nRPyy9OkVX01NTdTW1rZ3GmZmZUPS3IioaWrddq9EIuJBSXOBkYCAsyLi9SLnaGZmZSjfhw3fAWal7askDY2Il0uXlpmZlYPtFhFJ3wXGA2+S2kXSzxNKl5aZmZWDfK5ExgAHpqfCzczMtsini+9CoHupEzEzs/KTz5XIjcA8SQuB9Q3BiBhdsqzMzKws5FNE7icbUXcBO/Z8iJmZ7WTyKSIfRsRtJc/EzIpq6rzlTJqxmL+sXsv+3au4atQhHm7dii6fIjJL0o1kQ4rk3s5yF1+zDmrqvOVMeHQBazdsAmD56rVMeHQBgAuJFVU+RWRI+jkiJ+YuvmYd2KQZi7cUkAZrN2xi0ozFLiJWVPk8sX58WyRiZsXzl9VrWxU3K1Q+84l0k3RLw6ROkv6XpG5tkZyZFWb/7lWtipsVKp/nRO4hm0NkTHp9ANxbyqTMbMdcNeoQqiortopVVVZw1ahD2ikj21nl0yZyYER8Pmf5BknzS5WQme24hnYP986yUsuniKyV9I8R8XsASUcDvrFq1sGdNaSXi4aVXD5F5GvA/TntIO+TDcho1qn4uQuzbeXTO2s+MEjSnmn5g5JnZdbB+LkLs6bl0zvr/5fUPSI+iIgPJO2VprY16zRaeu7CrDPLp3fWKRGxumEhIt4HTt3eTpK6Spoj6RVJiyTdkOIjJb0sab6k30s6KMW7SHpY0lJJsyX1yTnWhBRfLGlUTvzkFFsq6Zr8P7ZZ6/i5C7Om5dMmUiGpS0SsB5BUBXTJY7/1wAkRsUZSJfB7SU8CPwHOjIjXJV0K/E+yNpavAu9HxEGSziMb9HGspP7AecBhwP7AbyUdnM5xO3AiUAe8JGlaRLyW30ffOZXbfftyyXf/7lUsb6Jg+LkL6+zyKSIPAk9Lang25EKykX1bFBEBrEmLlekV6bVnincD/pLenwlcn94/Avy7JKX45FTE3pK0FBietlsaEX8EkDQ5bVv0IlIuv+jK7b59OeV71ahDtsoV/NyFGeRxOysifgB8H/hsen03Im7O5+CSKtIzJe8CT0XEbOAi4AlJdcCXgJvS5r2AZemcG4F6oEduPKlLsebiTeVxScMT9ytXrswn9S0aftEtX72W4ONfdFPnLW/VcdpCud23L6d8zxrSixvPHkCv7lUI6NW9ihvPHtDhip1ZW8vnSoSIeBJ4srUHj4hNwGBJ3YHHJFUDVwKnRsRsSVcBt5AVlpKJiDuBOwFqampiO5tvpZwGsiu3+/bllq+fuzDbVj69s86WtERSvaQPJP1NUqu6+aaG+ZnAKcCgdEUC8DBwVHq/HDggnXNXsltdq3LjSe8Uay5eVOX0i67cxksqt3zNbFv59M66GRgdEd0iYs+I2CMi9tzeTpJ6piuQhsb4E4HXgW45DeMNMcjmKxmX3p8DPJPaVaYB56XeW32BfsAc4CWgn6S+knYja3yflsfnaZVy+kVXbuMllVu+ZratfG5nvRMRr29/s23sR/akewVZsZoSEdMlXQz8StJmsqffv5K2vxv4eWo4f4+sKBARiyRNIWsw3whclm6TIelyYAZQAdwTEYsKyLNF5dSgWm7jJZVbvma2LWV/7LewgfS/gX2BqWw9s+GjpU2tNGpqaqK2trZV+5RL7ywzs1KQNDciappal8+VyJ7Ah8BJObEAyrKIFMINqmZWtl6dAk9PhPo66NYbRl4LA8cU7fD5jJ11YdHOZmZmbefVKfD4FbAhdQSqX5YtQ9EKSbNFRNKPya44mhQRVxQlAzMzK42nJ35cQBpsWJvFS11EgNY1HJiZWcdSX9e6eAGaLSIRsd2hTczMrAPr1ju7hdVUvEjyeU7EzMzK0chrobLRM22VVVm8SFxEzMx2VgPHwBm3QbcDAGU/z7itbXtnmZlZGRs4pqhFo7HtFhFJPYGLgT6520fEV5rbx8zMOod8rkR+DcwCfgts2s62ZmbWieRTRP4hIr5V8kzMzKzs5NOwPl3SdudUNzOzziefIvJ1skKyttD5RMzMbOeUz9hZe7RFImZmVn7y6uIraS+yyaC6NsQi4rlSJWVmZuUhny6+F5Hd0uoNzAdGAC8AJ5Q2NTMz6+jybRM5HPhTRBwPDAFWlzQrMzMrC/kUkXURsQ5AUpeI+APQ8eaGNTOzNpdPm0idpO5k0+M+Jel94E+lTcvMzMrBdq9EIuJzEbE6Iq4H/g24Gzhre/tJ6ippjqRXJC2SdEOKS9L3Jb0h6XVJV+TEb5O0VNKrkobmHGucpCXpNS4nPkzSgrTPbZLU+q/AzMwK1dLMhntGxAeSPpkTXpB+7g68t51jrwdOiIg1kiqB30t6EvgscABwaERslvSptP0pZD3A+gFHAD8Bjkjnvw6oIZtpca6kaRHxftrmYmA28ARwMvBknp/dzMx2UEu3s34BnA7MJfvlnftXfgD/raUDR0QAa9JiZXoF8DXg/IjYnLZ7N21zJvBA2u9FSd0l7QccBzwVEe8BSHoKOFnSs8CeEfFiij9AdoXkImJm1kZamtnw9PSzb6EHl1RBVoQOAm6PiNmSDgTGSvocsBK4IiKWAL2A3Cm46lKspXhdE/Gm8rgEuATg05/+dKEfx8zMGmnpdtbQ5tYBRMTL2zt4RGwCBqeG+cckVQNdyHp81Ug6G7gHOKZ1abdORNwJ3AlQU1MTpTyXmVln0tLtrP+VfnYla494heyW1kCgFjgy35NExGpJM8naLOqAR9Oqx4B70/vlZG0lDXqn2HKyW1q58WdTvHcT25uZWRtptndWRByfHi5cAQyNiJqIGEb2sOF2f1lL6pmuQJBUBZwI/IGsq/DxabP/D3gjvZ8GfDn10hoB1EfECmAGcJKkvdLwKycBM9K6DySNSL2yvkw294mZmbWRfJ4TOSQiGnplERELJX02j/32A+5P7SK7AFMiYrqk3wMPSrqSrOH9orT9E8CpwFLgQ+DCdL73JH0XeCltN7GhkR24FLgPqCJrUHejupmV3qtT4OmJUF8H3XrDyGtLOgVtR6asM1QLG0gPAX8H/iOFvgjsHhFfKHFuJVFTUxO1tbXtnYaZlatXp8DjV8CGtR/HKqvgjNt22kIiaW5E1DS1Lp9hTy4EFpGNofV14LUUMzPrfJ6euHUBgWz56Yntk087y2c+kXWSfgo8ERGL2yAnM7OOq76udfGd3HavRCSNJhsC/j/T8mBJ00qdmJlZh9Std+viO7l8bmddBwwnDf8eEfOBgh9ANDMrayOvzdpAclVWZfFOKJ8isiEi6hvF/MCemXVOA8dkjejdDgCU/dyJG9W3J58uvosknQ9USOoHXAE8X9q0zMw6sIFjOm3RaCyfK5H/ARxGNirvQ8AHwDdKmZSZmZWHfHpnfQh8J73MzMy2aGkAxhZ7YEXE6OKnY2Zm5aSlK5EjyYZgf4hs0ifPGmhmZltpqYjsSzZo4heA84HfAA9FxKK2SMzMzDq+lkbx3RQR/xkR44ARZAMjPivp8jbLzszMOrQWG9YldQFOI7sa6QPcRjYHiJmZWYsN6w8A1WRDtN8QEQvbLCszMysLLV2JXEA2BPzXgSuyeZ+ArIE9ImLPEudmZmYdXLNFJCLyeRDRzMw6MRcKMzMrmIuImZkVzEXEzMwKVrIiIqmrpDmSXpG0SNINjdbfJmlNznIXSQ9LWipptqQ+OesmpPhiSaNy4ien2FJJ15Tqs5iZWdNKeSWyHjghIgYBg4GTJY0AkFQD7NVo+68C70fEQcCPgB+kbfsD55GNJHwycIekCkkVwO3AKUB/4AtpWzMzayMlKyKRabjSqEyvSL/8JwFXN9rlTOD+9P4RYKSyfsVnApMjYn1EvEX25Pzw9FoaEX+MiI+AyWlbMzNrIyVtE0lXDPOBd4GnImI2cDkwLSJWNNq8F9mAj0TERqAe6JEbT+pSrLl4U3lcIqlWUu3KlSt3/IOZmRlQ4iKSxt8aDPQGhks6FjgX+HEpz9tEHndGRE1E1PTs2bMtT21mtlNrk95ZEbEamAkcDxwELJX0NvAPkpamzZYDBwBI2hXoBqzKjSe9U6y5uJmZtZFS9s7qKal7el9FNqz83IjYNyL6REQf4MPUkA4wDRiX3p8DPBMRkeLnpd5bfYF+wBzgJaCfpL6SdiNrfG9xIi0zMyuu7U6PuwP2A+5PDem7AFMiYnoL298N/DxdmbxHVhSIiEWSpgCvARuByyJiE0Aaln4GUAHc47lOzMzalrI/9juPmpqaqK2tbe80zMzKhqS5EVHT1Do/sW5mZgVzETEzs4K5iJiZWcFcRMzMrGAuImbW/l6dAj+qhuu7Zz9fndLeGVmeStnF18xs+16dAo9fARvWZsv1y7JlgIFj2i8vy4uvRMysfT098eMC0mDD2ixuHZ6LiJm1r/q61sWtQ3ERMbP21a136+LWobiImFn7GnktVFZtHausyuLW4bmImFn7GjgGzrgNuh0AKPt5xm1uVC8T7p1lZu1v4BgXjTLlKxEzMyuYi4iZmRXMRcTMzArmImJmZgVzETEzs4K5iBVJtFsAAAqoSURBVJiZWcFKVkQkdZU0R9IrkhZJuiHFH5S0WNJCSfdIqkxxSbpN0lJJr0oamnOscZKWpNe4nPgwSQvSPrdJUqk+j5mZbauUVyLrgRMiYhAwGDhZ0gjgQeBQYABQBVyUtj8F6JdelwA/AZD0SeA64AhgOHCdpL3SPj8BLs7Z7+QSfh4zM2ukZEUkMmvSYmV6RUQ8kdYFMAdoGCDnTOCBtOpFoLuk/YBRwFMR8V5EvA88RVaQ9gP2jIgX07EeAM4q1ecxM7NtlbRNRFKFpPnAu2SFYHbOukrgS8B/plAvYFnO7nUp1lK8rol4U3lcIqlWUu3KlSt37EOZmdkWJS0iEbEpIgaTXW0Ml1Sds/oO4LmImFXKHFIed0ZETUTU9OzZs9SnMzPrNNqkd1ZErAZmktosJF0H9AT+JWez5cABOcu9U6yleO8m4mYGnnLW2kQpe2f1lNQ9va8CTgT+IOkisnaOL0TE5pxdpgFfTr20RgD1EbECmAGcJGmv1KB+EjAjrftA0ojUK+vLwK9L9XnMykrDlLP1y4D4eMpZFxIrslKO4rsfcL+kCrJiNSUipkvaCPwJeCH1yH00IiYCTwCnAkuBD4ELASLiPUnfBV5Kx50YEe+l95cC95H18noyvcyspSlnPVquFVHJikhEvAoMaSLe5DlTD6vLmll3D3BPE/FaoHrbPcw6OU85a23ET6yb7Yw85ay1ERcRs52Rp5y1NuIiYrYz8pSz1kY8Pa7ZzspTzlob8JWImZkVzEXEzMwK5iJili8/AW62DbeJmOWj4Qnwhgf4Gp4AB7c7WKfmKxGzfLT0BLhZJ+YiYpYPPwFu1iQXEbN8+Alwsya5iJjlw0+AmzXJRcTaV7n0ePIT4GZNcu8saz/l1uPJT4CbbcNXItZ+3OPJrOy5iFj7cY8ns7LnIpKPcrlvX27c48ms7LmIbE+5zVVdTgXPPZ7Myp6LyPaU0337cit47vFkVvZKVkQkdZU0R9IrkhZJuiHF+0qaLWmppIcl7ZbiXdLy0rS+T86xJqT4YkmjcuInp9hSSdeU5IOU0337cip4DQaOgSsXwvWrs58uIGZlpZRXIuuBEyJiEDAYOFnSCOAHwI8i4iDgfeCrafuvAu+n+I/SdkjqD5wHHAacDNwhqUJSBXA7cArQH/hC2ra4yum+fTkVPDPbKZSsiERmTVqsTK8ATgAeSfH7gbPS+zPTMmn9SElK8ckRsT4i3gKWAsPTa2lE/DEiPgImp22Lq5zu25dTwTOznUJJ20TSFcN84F3gKeBNYHVEbEyb1AG90vtewDKAtL4e6JEbb7RPc/Gm8rhEUq2k2pUrV7buQ5TTfftyKnhmtlMo6RPrEbEJGCypO/AYcGgpz9dCHncCdwLU1NREqw9QLk8qN+T49MTsFla33lkBKYfczawstcmwJxGxWtJM4Eigu6Rd09VGb2B52mw5cABQJ2lXoBuwKifeIHef5uKdV7kUPDPbKZSyd1bPdAWCpCrgROB1YCZwTtpsHPDr9H5aWiatfyYiIsXPS723+gL9gDnAS0C/1NtrN7LG92ml+jxmZratUl6J7Afcn3pR7QJMiYjpkl4DJkv6HjAPuDttfzfwc0lLgffIigIRsUjSFOA1YCNwWbpNhqTLgRlABXBPRCwq4ecxM7NGlP2x33nU1NREbW1te6dhZlY2JM2NiJqm1vmJdTMzK5iLiJmZFazT3c6StBL4UwG77g38tcjplFI55VtOuUJ55VtOuUJ55VtOucKO5fuZiOjZ1IpOV0QKJam2uXuCHVE55VtOuUJ55VtOuUJ55VtOuULp8vXtLDMzK5iLiJmZFcxFJH93tncCrVRO+ZZTrlBe+ZZTrlBe+ZZTrlCifN0mYmZmBfOViJmZFcxFxMzMCtZpi4ikAyTNlPRamr736yn+SUlPSVqSfu6V4odKekHSeknfbHSseyS9K2lhR8+3ueN00FybnGK5o+abc7wKSfMkTe/IuUp6W9ICSfMllWQsoCLn213SI5L+IOl1SUd2xFwlHZK+04bXB5K+Ucxci5lvWndlOsZCSQ9J6pp3IhHRKV9kA0QOTe/3AN4gm2b3ZuCaFL8G+EF6/yngcOD7wDcbHetYYCiwsKPn29xxOmiuAnZP7yuB2cCIjvrd5hzvX4BfANM7cq7A28Depfo3W4J87wcuSu93A7p31FxzjlkB/BfZw3od8rslm8zvLaAqLU8BxuebR6e9EomIFRHxcnr/N7Jh6nux9TS9W6bvjYh3I+IlYEMTx3qObOThDp9vC8fpiLlGND3FclEV89+CpN7AacDPip1nsXNtC8XKV1I3sj/W7k7bfRQRqztiro2MBN6MiEJGyWjLfHcFqpTN5fQPwF/yzaPTFpFckvoAQ8j+0t0nIlakVf8F7NNOaTWrWPk2Ok5J7GiuajTFckSULNd0vj7s2Hd7K3A1sLkU+eUqQq4B/B9JcyVdUpIkc+xgvn2BlcC96VbhzyR9ooPmmus84KGiJteEHck3IpYDPwT+DKwA6iPi/+R77k5fRCTtDvwK+EZEfJC7LrJruw7VB7pY+bZ0nGIpRq4RsSkiBpPNXDlcUnUpcoUdz1fS6cC7ETG3VDnmnKsY/w7+MSKGAqcAl0k6tviZZoqQ765kt4x/EhFDgL+T3arpiLk2HGc3YDTwy6InufV5dvTf7V5kVy99gf2BT0i6IN/zd+oiIqmS7Mt/MCIeTeF3JO2X1u9H9hdwh1CsfJs5TofMtUG6dTETOLnYuaZ8ipHv0cBoSW8Dk4ETJP1HB8214S9QIuJd4DFgeLFzLWK+dUBdzpXoI2RFpSPm2uAU4OWIeKfYeTYoUr7/HXgrIlZGxAbgUeCofHPotEVEksjur74eEbfkrMqdpjd3+t52Vax8WzhOR8y1qSmW/9BR842ICRHROyL6kN3GeCYi8v6Lri1zlfQJSXs0vAdOAoreu7CI3+1/AcskHZJCI8lmO+1wueb4AiW8lVXEfP8MjJD0D+mYI8naV/LTuKW9s7yAfyS7zHsVmJ9epwI9gKeBJcBvgU+m7fcl+2voA2B1er9nWvcQ2b3EDSn+1Y6ab3PH6aC5DiSbQvlVsl9w13b0fws5xzyO0vTOKtZ3+9+AV9JrEfCdjv7dAoOB2nSsqcBeHTjXTwCrgG6l+F5LkO8NZH+gLQR+DnTJNw8Pe2JmZgXrtLezzMxsx7mImJlZwVxEzMysYC4iZmZWMBcRMzMrmIuIWQkpG3n20vR+f0mPtHdOZsXkLr5mJZTGNJoeESUbrsWsPe3a3gmY7eRuAg5Mg0guAT4bEdWSxpONrvoJoB/ZAHi7AV8C1pM9APqepAOB24GewIfAxRFR9Kf2zQrl21lmpXUN2VDgg4GrGq2rBs7m4zkePoxscMEXgC+nbe4E/kdEDAO+CdzRJlmb5clXImbtZ2Zk80D8TVI98HiKLwAGptFZjwJ+mQ1pBECXtk/TrHkuImbtZ33O+805y5vJ/m/uAqxOVzFmHZJvZ5mV1t/Ipi5ttcjmhnhL0rmQjdoqaVAxkzPbUS4iZiUUEauA/ytpITCpgEN8EfiqpIbRds8sZn5mO8pdfM3MrGC+EjEzs4K5iJiZWcFcRMzMrGAuImZmVjAXETMzK5iLiJmZFcxFxMzMCvb/ACtUphx67c1pAAAAAElFTkSuQmCC\n", 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\n", 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SUun8u3fv5r333qNJkyZ7jbFsqPkhQ4Yk+zFUG1/ZkO8QDfu+bVvVc7lcc801nH/++TRp0oSLL7446Wl7RSR5GWvOMrPzgHXuvreJKh4H3nb3slHw5gPfcveTgUeBV9MVi7s/6e6F7l6437PYDbgTsivMHZKdE5WnwbXXXstdd91F165dk9q/b9++PP/883Ts2JGDDjqII444gunTp5cP65E4fPv48ePLj+vQoQPz588HolkJP/744/JtjRs35pVXXuG5557jhRdeoHnz5uTl5fH73/8eiCadWrhwIRDNyvjoo4+WH1tVohk1ahTjx49nzpw55WVTpkxh7dq19O3bt3wcq1mzZtGiRQuaN29ebXx7U3HY99atW9O6dWvuuecejdgrkiGZvCdyKjDYzFYBE4H+ZvY8gJndBbQkNHEBuPsWd98alqcD2WbWAlgNtEuot20o2wDkmlmjCuWZ1e0SOP8ROKwdYNG/5z+y372zyrRt25abbrop6f07dOiAu3P66acDcNppp5Gbm8vhhx8ORDeoL774Ynr06EGLFi3Kj7vwwgvLZ0r8zW9+w/HHH79HvU2bNmXatGk89NBDTJ06lQkTJvD0009z8skn07lz5/J50x955BGKioro1q0bnTp14re//W2lGFu1asXEiRO55ZZbOOGEEzjppJOYMWMGzZo1Y8yYMRQXF9OtWzdGjx5dnuj2FV9Vrr76an7wgx+Qn59ffnVy+eWX065dO43KK5IhtTIUvJn1I2qeOs/MRgDXAgPcfVvCPkcDa93dzawXMAn4FpAF/B0YQJQk5gHfd/clZvZ7YLK7TzSz3wKL3P3x6mLRUPANy6hRoygoKOC665Lvc6Hvg0hl9Wko+N8CnwDvmhnAlNAT6yLgP81sF7ANGOZRhttlZqOAGUQJ5ZlwrwTgNmCimd0DLACert23IvVZjx49aNq0Kb/+9a/rOhSRA1atJBF3nwXMCstVntPdfwP8Zi/bpgPTqyj/iKj3lkglycwbL5KKVxes5lczlvPZpm20zs3h1rNP2K/ZTeNM3VUCdydcGUkD1tBm+pSae3XBam6f8j7bdn4NwOpN27h9yvsADTKRaOwsoEmTJmzYsEE/IA2cu7Nhw4ZquyuL/GrG8vIEUmbbzq/51YzldRRR3dKVCFGPqNLS0vKnm6XhatKkCW3bpueZHzkwfbap6ueS9lZ+oFMSAbKzs5N6kltEpHVuDqurSBitc3Oq2PvAp+YsEZEauPXsE8jJztqjLCc7i1vPPqGOIqpbuhIREamBspvn6p0VURIREamhoQVtGmzSqEjNWSIikjIlERERSZmSiIiIpExJREREUqYkIiIiKVPvLBGpcxrQML6URESkTmlAw3hTc5aI1CkNaBhvSiIiUqc0oGG8ZTyJmFmWmS0ws2lhPc/M5pjZSjN7ycwah/KDw/rKsL1DQh23h/LlZnZ2QvnAULbSzEZn+r2ISPrtbeDChjqgYdzUxpXIzcCyhPX7gYfc/Tjgc6Bs8uvrgM9D+UNhP8ysEzAM6AwMBB4PiSkLeAw4B+gEXBb2FZEY0YCG8ZbRJGJmbYFzgafCugH9gUlhl/HA0LA8JKwTtg8I+w8BJrr7Dnf/GFhJNCVuL2Clu3/k7l8BE8O+IhIjQwvacO8FXWmTm4MBbXJzuPeCrrqpHhOZ7p31MPAzoFlYPxLY5O67wnopUPZNaQN8CuDuu8xsc9i/DfBeQp2Jx3xaobx3VUGY2UhgJED79u334+2ISCZoQMP4ytiViJmdB6xz9+JMnSNZ7v6kuxe6e2HLli3rOhwRkQNGJq9ETgUGm9kgoAnQHPh/QK6ZNQpXI22B1WH/1UA7oNTMGgGHARsSysskHrO3chERqQUZuxJx99vdva27dyC6Mf6Wu18OzAQuCrsNB14Ly1PDOmH7W+7uoXxY6L2VB3QE5gLzgI6ht1fjcI6pmXo/IiJSWV08sX4bMNHM7gEWAE+H8qeB/zGzlcBGoqSAuy8xs5eBpcAu4EZ3/xrAzEYBM4As4Bl3X1Kr70REpIGz6I/9hqOwsNCLiorqOgwRkVgxs2J3L6xYrifWRUQkZUoiIiKSMiURERFJmYaCFzlAaY4OqQ1KIiIHIM3RIbVFzVkiByDN0SG1RUlE5ACkOTqktiiJiByANEeH1BYlEZEDkObokNqiG+siNRCXHk9lMcUhVok3JRGRJMWtx5Pm6JDaoOYskSSpx5NIZfu8EglT1F4OfNvdx5pZe+Bod5+b8ejqibg0YUC8YoV4xaseTyKVJXMl8jhwCnBZWP8CeCxjEdUzZU0Yqzdtw/mmCePVBfVv/qs4xQrxi1c9nkQqSyaJ9Hb3G4HtAO7+OdA4o1HVI3FqwohTrBC/eNXjSaSyZG6s7zSzLMABzKwlsDujUdUjcWrCiFOsEL941eNJpLJkksgjwCvAUWb2C6Kpa//vvg4ysybA28DB4TyT3P0uM5sNNAu7HQXMdfehZtaPaKrcj8O2Ke4+NtQ1kGh+9izgKXe/L5TnAROBI4Fi4Ep3/yqJ95S01rk5rK7iR60+NmHEKVaIX7ygHk8iFe2zOcvdJwA/A+4F1gBD3f33SdS9A+jv7icD+cBAM+vj7n3dPd/d84F3gSkJx8wu25aQQLKI7sGcA3QCLjOzTmH/+4GH3P044HPguiTiqpE4NWHEKVaIX7wiUlmyXXzXArOBvwE5ZtZ9Xwd4ZGtYzQ6v8rl4zaw50B94dR9V9QJWuvtH4SpjIjAk9BrrD0wK+40Hhib5fpI2tKAN917QlTa5ORjQJjeHey/oWi//Go1TrBC/eEWksmS6+P4cuBr4kG+SgBP9gO/r2CyiZqbjgMfcfU7C5qHAn919S0LZKWa2EPgMuMXdlwBtgE8T9ikFehM1YW1y910J5VX++pjZSGAkQPv27fcVdiVxasKIU6wQv3hFZE/J3BO5BDg2lXsN7v41kG9mucArZtbF3ReHzZcBTyXsPh/4lrtvNbNBRFcoHWt6zr3E8STwJEBhYaHvY3cREUlSMs1Zi4Hc/TmJu28CZgIDAcysBVEz1RsJ+2wpa/5y9+lAdthvNdAuobq2oWwDkGtmjSqUi4hILUkmidwLLDCzGWY2tey1r4PMrGW4AsHMcoAzgQ/C5ouAae6+PWH/o8N9DsysV4htAzAP6GhmeWbWGBgGTHV3J0pMF4UqhhP17hIRkVqSTHPWeKJeUO9Ts+dDjgHGh/siBwEvu/u0sG0YcF+F/S8C/tPMdgHbgGEhUewys1HADKIuvs+EeyUAtwETzeweYAHwdA3iExGR/WTR73Q1O5jNc/eetRRPxhUWFnpRUVFdhyEiEitmVuzuhRXLk7kSmW1m9wJTiZ79AMDd56cxPhERiaFkkkhB+LdPQllSXXxFROTAts8k4u5n1EYgIiISP/vsnWVmh5nZg2ZWFF6/NrPDaiM4ERGp35Lp4vsM0Rwil4TXFuDZTAYlIiLxkMw9kWPd/cKE9bvNrCRTAYmISHwkcyWyzcxOK1sxs1OJnuMQEZEGLpkrkf8kemiw7D7I50QDMoqISAOXTO+sEuDkMHQ7FUbdFRGRBiyZ3ln/bWa5YYDELWZ2eBhmREREGrhk7omcE0bhBcDdPwcGZS4kERGJi2SSSJaZHVy2EkbkPbia/UVEpIFI5sb6BODPZlb2bMg1RCP7iohIA5fMjfX7zWwRMCAU/dzdZ2Q2LBERiYNkrkRw9z8Af8hwLCIiEjPJ9M66wMxWmNlmM9tiZl+Ymbr5iohIUjfWfwkMdvfD3L25uzdz9+b7OsjMmpjZXDNbaGZLzOzuUD7OzD42s5Lwyg/lZmaPmNlKM1tkZt0T6hoeEtkKMxueUN7DzN4PxzxSNr2uiIjUjmSas9a6+7IU6t4B9Hf3rWaWDbxjZmVNYre6+6QK+58DdAyv3sATQG8zOwK4Cygkmsek2Mymhq7GTwDXA3OA6cBA1OwmIlJrkkkiRWb2EvAqe85sOKW6g8L86FvDanZ4VTcX7xDguXDce2aWa2bHAP2AN919I4CZvQkMNLNZQHN3fy+UPwcMRUlERKTWJNOc1Rz4EjgLOD+8zkumcjPLCiP+riNKBHPCpl+EJquHEp5BaQN8mnB4aSirrry0ivKq4hhZNh/K+vXrkwldRESSkEwX32tSrdzdvwbyzSwXeMXMugC3A/8EGgNPArcBY1M9R5JxPBnORWFhYXVXQyIiUgN7TSJm9ijVND+5+03JnsTdN5nZTGCguz8QineEBxhvCeurgXYJh7UNZauJmrQSy2eF8rZV7C8iIrWkuuasIqC4mle1zKxluAIpGyrlTOCDcJ+D0JNqKLA4HDIVuCr00uoDbHb3NcAM4Kww8OPhRM1qM8K2LWbWJ9R1FfBazd6+iIjsj71eibj7/g5tcgzRPCRZRMnqZXefZmZvmVlLwIAS4Adh/+lEAzuuJLoHc02IY6OZ/RyYF/YbW3aTHbgBGAfkEN1Q1011EZFaZFFnqIajsLDQi4qK6joMEZFYMbNidy+sWJ5M7ywREZEqKYmIiEjK9tnFN9y/uB7okLi/u1+bubBERCQOknli/TVgNvAn4OvMhiMiInGSTBI5xN1vy3gkIiISO8ncE5lmZppTXUREKkkmidxMlEi2aT4RERFJlMzYWc1qIxAREYmfpKbHDcONdASalJW5+9uZCkpEROIhmS6+I4iatNoSDVPSB3gX6J/Z0EREpL5L9p5IT+ATdz8DKAA2ZTQqERGJhWSSyHZ33w5gZge7+wfACZkNS0RE4iCZeyKlYUj3V4E3zexz4JPMhiUiInGQTO+s74XFMWFiqcOAP2Y0KhERiYXqZjZs7u5bzOyIhOL3w7+HAhurOExERBqQ6q5EXgDOI5rF0IkmkSrjwLczGJeIiMTAXm+su/t54d88d/92+Lfstc8EYmZNzGyumS00syVmdncon2Bmy81ssZk9Y2bZobyfmW02s5LwujOhroHhmJVmNjqhPM/M5oTyl8ys8f58GCIiUjPVNWd1r+5Ad5+/j7p3AP3dfWtIFO+Y2R+ACcAVYZ8XgBHAE2F9dlnySogjC3iMaI72UmCemU1196XA/cBD7j7RzH4LXJdQl4iIZFh1zVm/Dv82AQqBhURNWt2AIuCU6ir2aN7drWE1O7zc3aeX7WNmc4keYqxOL2Clu38UjpkIDDGzZUQPPH4/7DceGIOSiIhIramuOeuM8HDhGqC7uxe6ew+ihw1XJ1O5mWWZWQmwDnjT3eckbMsGrmTPnl6nhOavP5hZ51DWBvg0YZ/SUHYksMndd1UoryqOkWZWZGZF69evTyZ0ERFJQjIPG57g7mW9snD3xcBJyVTu7l+7ez7R1UYvM+uSsPlx4G13nx3W5wPfcveTgUeJnktJC3d/MiTBwpYtW6arWhGRBi+ZJLLIzJ4KN777mdnvgEU1OYm7bwJmAgMBzOwuoCXwk4R9trj71rA8Hcg2sxZEVz3tEqprG8o2ALlm1qhCuYiI1JJkksg1wBKiMbRuBpaGsmqZWcvwpDtmlkN0Y/yDMKDj2cBl7r47Yf+jzczCcq8Q2wZgHtAx9MRqDAwDpoZ7LjOBi0IVw4mm8hURkVqSzBPr20PPp+nuvrwGdR8DjA+9qw4CXnb3aWa2i2jYlHdDzpji7mOJksF/hu3bgGEhUewys1HADCALeMbdl4Rz3AZMNLN7gAXA0zWIT0RE9pNFv9PV7GA2GPgV0Njd88wsHxjr7oNrI8B0Kyws9KKioroOQ0QkVsys2N0LK5Yn05x1F1E3200A7l4C5KU3PBERiaNkkshOd99coaz6yxcREWkQkhkKfomZfR/IMrOOwE3A3zIbloiIxEEyVyI/BDoTDWPyIrAF+FEmgxIRkXhIpnfWl8D/CS8REZFy1Q3AOLW6A+PaO0tERNKnuiuRU4jGrHoRmMOe84mIiIhUm0SOJnrK/DKikXLfAF5MeNBPREQauOpG8f3a3f/o7sOBPsBKYFZ4elxERKT6G+tmdjBwLtHVSAfgEeCVzIclIiJxUN2N9eeALsB04O4wBLyIiEi56q5ErgD+TTRy701hsESIbrC7uzfPcGwiIlLP7TWJuHsyDyKKiEgDpkQhIiIpUxIREZGUKYmIiEjKMpZEzKyJmc01s9x3N3IAAA28SURBVIVmtsTM7g7leWY2x8xWmtlLYcpbzOzgsL4ybO+QUNftoXy5mZ2dUD4wlK00s9GZei8iIlK1TF6J7AD6u/vJQD4w0Mz6APcDD7n7ccDnwHVh/+uAz0P5Q2E/zKwT0bzqnYGBwONmlhWm3X0MOAfoBFwW9hURkVqSsSTika1hNTu8HOgPTArl44GhYXlIWCdsH2BRv+IhwER33+HuHxM9Od8rvFa6+0fu/hUwMewrIiK1JKP3RMIVQwmwDngT+BDY5O67wi6lQJuw3IZowEfC9s3AkYnlFY7ZW7mIiNSSjCaRMP5WPtCW6MrhxEyeb2/MbKSZFZlZ0fr16+siBBGRA1Kt9M5y903ATKLh5XPNrOwhx7bA6rC8GmgHELYfBmxILK9wzN7Kqzr/k+5e6O6FLVu2TMt7EhGRzPbOamlmuWE5h2hY+WVEyeSisNtw4LWwPDWsE7a/5e4eyoeF3lt5QEdgLjAP6Bh6ezUmuvle7URaIiKSXvucHnc/HAOMD72oDgJedvdpZrYUmGhm9wALgKfD/k8D/2NmK4GNREkBd19iZi8DS4FdwI3u/jVAGJZ+BpAFPKO5TkREapdFf+w3HIWFhV5UVFTXYYiIxIqZFbt7YcVyPbEuIiIpUxIREZGUKYmIiEjKlERERCRlSiIiIpIyJREREUmZkoiIiKRMSURERFKmJCIiciBb9DI81AXG5Eb/Lno5rdVnctgTERGpS4tehtdvgp3bovXNn0brAN0uScspdCUiInKg+vPYbxJImZ3bovI0URIRETlQbS6tWXkKlERERA5Uh7WtWXkKlERERA5UA+6E7Jw9y7JzovI0URIRETlQdbsEzn8EDmsHWPTv+Y+k7aY6qHeWiMiBrdslaU0aFelKREREUpbJOdbbmdlMM1tqZkvM7OZQ/pKZlYTXKjMrCeUdzGxbwrbfJtTVw8zeN7OVZvaImVkoP8LM3jSzFeHfwzP1fkREpLJMXonsAn7q7p2APsCNZtbJ3S9193x3zwcmA1MSjvmwbJu7/yCh/AngeqBjeA0M5aOBP7t7R+DPYV1ERGpJxpKIu69x9/lh+QtgGdCmbHu4mrgEeLG6eszsGKC5u7/n0YTwzwFDw+YhwPiwPD6hXEREakGt3BMxsw5AATAnobgvsNbdVySU5ZnZAjP7i5n1DWVtgMQnY0r5Jhm1cvc1YfmfQKu9nH+kmRWZWdH69ev3782IiEi5jCcRMzuUqNnqR+6+JWHTZex5FbIGaO/uBcBPgBfMrHmy5wlXKb6XbU+6e6G7F7Zs2bLG70FEZA8ZHtQwTjLaxdfMsokSyAR3n5JQ3gi4AOhRVubuO4AdYbnYzD4EjgdWA4mPV7YNZQBrzewYd18Tmr3WZfL9iIjUxqCGcZLJ3lkGPA0sc/cHK2z+LvCBu5cm7N/SzLLC8reJbqB/FJqrtphZn1DnVcBr4bCpwPCwPDyhXEQkM2phUMM4yWRz1qnAlUD/hG67g8K2YVS+oX46sCh0+Z0E/MDdN4ZtNwBPASuBD4E/hPL7gDPNbAVRYrovY+9GRARqZVDDOMlYc5a7vwPYXrZdXUXZZKKmr6r2LwK6VFG+ARiwX4GKiNTEYW2jJqyqyhsgPbEuIlITtTCoYZwoiYiI1EQtDGoYJxqAUUSkpjI8qGGc6EpERERSpiQiIiIpUxIRkbqnJ8BjS/dERKRu6QnwWNOViIjULT0BHmtKIiJSt/QEeKwpiYhI3drbk94N9AnwuFESEZG6pSfAY01JRETqlp4AjzX1zhI5UC16Obo5vbk0ahoacGf9/WHWE+CxpSQiciBSt1mpJWrOEjkQqdus1BIlkWToaVopE5fvgrrNSi3J5PS47cxsppktNbMlZnZzKB9jZqurmO0QM7vdzFaa2XIzOzuhfGAoW2lmoxPK88xsTih/ycwap/2NlDULbP4U8G+aBerrj0dcfuTiKE7fBXWblVqSySuRXcBP3b0T0Ae40cw6hW0PuXt+eE0HCNuGAZ2BgcDjZpYV5l1/DDgH6ARcllDP/aGu44DPgevS/i7i1CwQpx+5OIrTd0HdZqWWZCyJuPsad58flr8AlgFtqjlkCDDR3Xe4+8dE86n3Cq+V7v6Ru38FTASGmJkB/YnmYwcYDwxN+xuJU7NAnH7kysTpyilO3wV1m5VaUiu9s8ysA1AAzAFOBUaZ2VVAEdHVyudECea9hMNK+SbpfFqhvDdwJLDJ3XdVsX/F848ERgK0b9++ZsHHaT7lOP3IQfx6EMXpuwDqNiu1IuM31s3sUGAy8CN33wI8ARwL5ANrgF9nOgZ3f9LdC929sGXLljU7OE7NAnFrB4/blVOcvgsitSSjScTMsokSyAR3nwLg7mvd/Wt33w38jqi5CmA10C7h8LahbG/lG4BcM2tUoTy94tQsELcfubhdOcXpuyBSSzLWnBXuWTwNLHP3BxPKj3H3NWH1e8DisDwVeMHMHgRaAx2BuYABHc0sjyhJDAO+7+5uZjOBi4jukwwHXsvIm4lLs0BZjHF5SjluzUMQn++CSC3J5D2RU4ErgffNrCSU3UHUuyofcGAV8B8A7r7EzF4GlhL17LrR3b8GMLNRwAwgC3jG3ZeE+m4DJprZPcACoqTVsMXpR27AnXveE4H6feUkIpWYu9d1DLWqsLDQi4qK6joMKROn8Z1EGjAzK3b3worlGjtL6lacrpxEpBINeyIiIilTEhERkZQpiYiISMqUREREJGVKIiIikrIG18XXzNYDn6RwaAvgX2kOJ5PiFG+cYoV4xRunWCFe8cYpVtj/eL/l7pXGjWpwSSRVZlZUVR/p+ipO8cYpVohXvHGKFeIVb5xihczFq+YsERFJmZKIiIikTEkkeU/WdQA1FKd44xQrxCveOMUK8Yo3TrFChuLVPREREUmZrkRERCRlSiIiIpKyBp1EzKydmc00s6VmtsTMbg7lR5jZm2a2Ivx7eCg/0czeNbMdZnZLhbqeMbN1Zra4qnPVl1j3Vk89jreJmc01s4Whnrvra6wJ9WWZ2QIzm1afYzWzVWb2vpmVmFlG5kdIc7y5ZjbJzD4ws2Vmdkp9jNXMTgifadlri5n9KJ2xpjPesO3HoY7FZvaimTVJOhB3b7Av4Bige1huBvwd6AT8EhgdykcD94flo4CewC+AWyrUdTrQHVhcn2PdWz31OF4DDg3L2cAcoE99jDWhvp8ALwDT6uvnGratAlpk4vuaoXjHAyPCcmMgt77GmlBnFvBPogf16uVnC7QBPgZywvrLwNXJxtGgr0TcfY27zw/LXwDLiD7QIURfWMK/Q8M+69x9HrCzirreBjbW91irqae+xuvuvjWsZodXWnuDpPN7YGZtgXOBp9IZYyZirQ3pitfMDiP6Q+3psN9X7r6pPsZawQDgQ3dPZZSM2oy3EZBjZo2AQ4DPko2jQSeRRGbWASgg+ku3lX8zD/w/gVZ1FFaV0hVrhXoyZn/jDc1DJcA64E13z1i8afhsHwZ+BuzORHyJ0hCrA/9rZsVmNjIjQSbYz3jzgPXAs6Gp8Ckza1pPY000DHgxrcFVYX/idffVwAPAP4A1wGZ3/99kz60kApjZocBk4EfuviVxm0fXd/WmH3S6Yq2unnRKR7zu/rW75wNtgV5m1qU+xmpm5wHr3L04E/FVOFc6vgenuXt34BzgRjM7Pf2RRtIQbyOi5uIn3L0A+DdRU019jLWsnsbAYOD3aQ9yz/Ps7/f2cKKrlzygNdDUzK5I9vwNPomYWTbRf4AJ7j4lFK81s2PC9mOI/gKuc+mKdS/11Nt4y4Tmi5nAwHoa66nAYDNbBUwE+pvZ8/U01rK/QHH3dcArQK90x5rGeEuB0oSr0ElESaU+xlrmHGC+u69Nd5xl0hTvd4GP3X29u+8EpgDfSTaGBp1EzMyI2liXufuDCZumAsPD8nDgtdqOraJ0xVpNPWmVxnhbmlluWM4BzgQ+qI+xuvvt7t7W3TsQNWO85e5J/0VXm7GaWVMza1a2DJwFpL1nYRo/238Cn5rZCaFoALC0Psaa4DIy2JSVxnj/AfQxs0NCnQOI7q8kp+Kd9ob0Ak4jutRbBJSE1yDgSODPwArgT8ARYf+jif4i2gJsCsvNw7YXidoTd4by6+pjrHurp75+tkA3YEGoZzFwZ32NtUKd/chM76x0fa7fBhaG1xLg/8Tg/7F8oCjU9SpweD2OtSmwATgsE59rBuK9m+iPs8XA/wAHJxuHhj0REZGUNejmLBER2T9KIiIikjIlERERSZmSiIiIpExJREREUqYkIpJBFo08e0NYbm1mk+o6JpF0UhdfkQwKYxpNc/eMDNUiUtca1XUAIge4+4BjwwCSK4CT3L2LmV1NNLpqU6Aj0QB4jYErgR1ED4BuNLNjgceAlsCXwPXuntYn9kX2h5qzRDJrNNFQ4PnArRW2dQEu4Js5Hr70aHDBd4Grwj5PAj909x7ALcDjtRK1SJJ0JSJSd2Z6NA/EF2a2GXg9lL8PdAujs34H+H00pBEAB9d+mCJ7pyQiUnd2JCzvTljfTfT/5kHApnAVI1IvqTlLJLO+IJq6tMY8mhviYzO7GKJRW83s5HQGJ7K/lEREMsjdNwB/NbPFwK9SqOJy4DozKxttd0g64xPZX+riKyIiKdOViIiIpExJREREUqYkIiIiKVMSERGRlCmJiIhIypREREQkZUoiIiKSsv8PWBJRwv8iBgsAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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1GCIS6EokaGndelIz/R6INIySCNC2bVs2bdqk/0BaOHdn06ZNtG3btqlDEYkNdWcB+fn5lJaWUl5e3tShSBNr27Yt+fkH9syPSEuiJEL0HELnzp2bOgwRkdhRd5aIiKRMSURERFKW8SRiZllmttzM5ob96Wa21sxWmdlDZpYdys3M7jOz9Wa2wsz6JLQx0szWhdfIhPJTzWxleM99ZmaZ/jwiIvKZxrgS+QHwZsL+dOBkoAeQA1TO7Hcu0DW8xgAPAJjZkcBNwOlAX+AmM2sf3vMAcHXC+wZn8oOIiMi+MppEzCwfOA+YUlnm7s94ACwGKm+FGQZMC4deB3LN7DhgEPCCu2929y3AC8DgcOwId389tDUNuCCTn0dERPaV6SuRScANwN7qB0I31neA50JRR2BDQpXSUFZXeWkN5fsxszFmVmxmxbqNV0QkfTJ2i6+ZnQ984O5Lzax/DVXuBxa4+8JMxVDJ3ScDkyGagDHT5xORg9sTy8u4a95a3qvYQYfcHMYOOokLetf4N+xBL5NXIl8BhprZO8AM4Cwz+z2Amd0E5AH/mVC/DOiUsJ8fyuoqz6+hXEQkY55YXsa4x1ZSVrEDB8oqdjDusZU8sbxl/veTsSTi7uPcPd/dC4CLgZfd/TIzG000znGJuyd2c80BLg93afUDtrr7+8A84Bwzax8G1M8B5oVjH5lZv3BX1uXAk5n6PCIiAHfNW8uOXXv2Kduxaw93zVvbRBE1raZ4Yv23wLvAa+GO3MfcfSLwDDAEWA9sB64AcPfNZvZzoHJx8InuvjlsXwM8QnSX17PhJSKSMe9V7GhQ+cGuUZKIu78CvBK2azxnuMPq+7Ucewh4qIbyYqAwXXGKiNSnQ24OZTUkjA65OTXUPvjpiXURkQYYO+gkcrL3XZY5JzuLsYNOaqKImpYmYBQRaYDKu7B0d1ZESUREpIEu6N2xxSaN6tSdJSIiKVMSERGRlCmJiIhIypREREQkZUoiIiKSMiURERFJmZKIiIikTElERERSpiQiIiIpUxIREZGUadoTEWlyWikwvpRERKRJVa4UWLnQU+VKgYASSQyoO0tEmpRWCow3JRERaVJaKTDelEREpEnVtiJgS10pMG6URESkSWmlwHjLeBIxsywzW25mc8N+ZzNbZGbrzWymmbUO5W3C/vpwvCChjXGhfK2ZDUooHxzK1pvZjZn+LCKSfhf07shtw3vQMTcHAzrm5nDb8B4aVI+Jxrg76wfAm8ARYf8O4F53n2FmvwWuAh4IP7e4exczuzjUG2Fm3YCLge5AB+BFMzsxtPUb4GygFFhiZnPcfU0jfCYRSSOtFBhfGb0SMbN84DxgStg34CxgdqgyFbggbA8L+4TjA0P9YcAMd9/p7m8D64G+4bXe3d9y90+BGaGuiIg0knqTiEUuM7PxYf8LZtY3yfYnATcAe8P+UUCFu+8O+6VA5Z8fHYENAOH41lC/qrzae2orr+kzjDGzYjMrLi8vTzJ0ERGpTzJXIvcDZwCXhP2PibqR6mRm5wMfuPvS1MNLD3ef7O5F7l6Ul5fX1OGIiBw0khkTOd3d+5jZcgB331I5GF6PrwBDzWwI0JZoTOSXQK6ZtQpXG/lAWahfBnQCSs2sFdAO2JRQXinxPbWVi4hII0jmSmSXmWUBDmBmeXzWPVUrdx/n7vnuXkA0MP6yu18KzAe+GaqNBJ4M23PCPuH4y+7uofzicPdWZ6ArsBhYAnQNd3u1DueYk8TnERGRNEnmSuQ+4HHgGDO7leg/+P8+gHP+BJhhZrcAy4EHQ/mDwKNmth7YTJQUcPfVZjYLWAPsBr7v7nsAzOxaYB6QBTzk7qsPIC4REWkgi/7Yr6eS2cnAQMCAl9z9zUwHlilFRUVeXFzc1GGIiMSGmS1196KajiX7nMhGYGGon2Nmfdx9WboCFBGReKo3iZjZz4FRwD8I4yLh51mZC0tEROIgmSuRi4ATwgN9IiIiVZK5O2sVkJvpQEREJH6SuRK5DVhuZquAnZWF7j40Y1GJiEgsJJNEphJNhriSJJ4PERGRliOZJLLd3e/LeCQiIhI7ySSRhWZ2G9HT4IndWbrFV6QZe2J5GXfNW8t7FTvokJvD2EEnabp1Sbtkkkjv8LNfQplu8RVpxp5YXsa4x1ayY9ceAMoqdjDusZUASiSSVvUmEXcf0BiBiEj63DVvbVUCqbRj1x7umrdWSUTSKpn1RNqZ2T2V63GY2f+aWbvGCE5EUvNexY4GlYukKpnnRB4iWkPkovD6CHg4k0GJyIHpkJvToHKRVCWTRE5w95vCMrRvufsE4PhMByYiqRs76CRysrP2KcvJzmLsoJOaKCI5WCWTRHaY2Vcrd8zsK4CuiUWasQt6d+S24T3omJuDAR1zc7hteA+Nh0jaJXN31n8AUxPGQbYQTcgoIs3YBb07KmlIxiVzd1YJcIqZHRH2P8p4VCIiEgvJ3J31CzPLdfeP3P0jM2sfViUUaVGeWF7GV25/mc43Ps1Xbn+ZJ5aXNXVIIk0umTGRc929onLH3bcAQzIXkkjzU/nwXlnFDpzPHt5TIpGWLpkkkmVmbSp3zCwHaFNHfZGDTl0P74m0ZMkkkenAS2Z2lZldBbxANLNvncysrZktNrM3zGy1mU0I5QPNbJmZlZjZq2bWJZS3MbOZZrbezBaZWUFCW+NC+VozG5RQPjiUrTezGxv20UWSp4f3RGqWzMD6HWa2AhgYin7u7vOSaHsncJa7bzOzbOBVM3sWeAAY5u5vmtk1wH8T3e11FbDF3buY2cVE08+PMLNuwMVAd6AD8KKZnRjO8RvgbKAUWGJmc9x9TXIfPXlxmsguTrFCfOLtkJtDWQ0JQw/vSUuXzC2+uPuzwLMNadjdHdgWdrPDy8PriFDeDngvbA8Dbg7bs4Ffm5mF8hnuvhN428zWA31DvfXu/haAmc0IddOaROI0kV2cYoV4xTt20En7xAp6eE8Ekrs7a7iZrTOzrWb2kZl9bGZJ3eZrZllmVgJ8ALzg7ouA0cAzZlYKfAe4PVTvCGwAcPfdwFbgqMTyoDSU1VZeUxxjKuf+Ki8vTyb0KnHqC49TrBCvePXwnkjNkrkSuRP4hru/2dDG3X0P0MvMcoHHzawQ+BEwxN0XmdlY4B6ixJIx7j4ZmAxQVFTkDXlvnPrC4xQrxC9ePbwnsr9kBtY3ppJAEoVbhOcD5wKnhCsSgJnAl8N2GdAJwMxaEXV1bUosD/JDWW3laRWnieziFCvEL14R2V8ySaQ43DV1SejaGm5mw+t7k5nlhSuQytuCzwbeBNolDIxXlkG0cuLIsP1N4OUwrjIHuDjcvdUZ6AosBpYAXc2ss5m1Jhp8n5PMh26IOE1kF6dYIX7xisj+kunOOgLYDpyTUObAY/W87ziiObeyiJLVLHefa2ZXA382s71E83BdGeo/CDwaBs43EyUF3H21mc0iGjDfDXw/dJNhZtcC84As4CF3X53E52mQyu6LONxBFKdYIX7xisj+LPpjv+UoKiry4uLipg5DRCQ2zGypuxfVdKzWKxEz+xXRFUeN3P36NMQmIiIxVld3lv5cFxGROtWaRNy93qlNRESkZUvm7iwREZEaKYmIiEjKlERERCRl9T4nYmZ5wNVAQWJ9d7+ytveIiEjLkMzDhk8CC4EXgT311BURkRYkmSTyOXf/ScYjERGR2ElmTGSumWlNdRER2U8ySeQHRIlkR0PXExERkYNbMsvjHt4YgYiISPwktTyumbUnmoK9bWWZuy/IVFAiIhIPydziO5qoSysfKAH6Aa8BZ2U2NBERae6SHRM5DXjX3QcAvYGKjEYlIiKxkEwS+cTdPwEwszbu/jdAS8+JiEhSYyKlYZnbJ4AXzGwL8G5mwxIRkThI5u6sC8PmzWY2H2gHPJfRqEREJBbqWtnwCHf/yMyOTCheGX4eRrQOuoiItGB1jYn8IfxcSrTK4dKEV72rHppZWzNbbGZvmNlqM5sQys3MbjWzv5vZm2Z2fUL5fWa23sxWmFmfhLZGmtm68BqZUH6qma0M77nPzKzB34CIiKSsrpUNzw8/O6fY9k7gLHffZmbZwKtm9izwJaATcLK77zWzY0L9c4meRekKnA48AJweroRuAoqI1nxfamZz3H1LqHM1sAh4BhgMPJtivCIi0kB1dWf1qe0YgLsvq+e4A9vCbnZ4OfAfwLfdfW+o90GoMwyYFt73upnlmtlxQH/gBXffHOJ6ARhsZq8AR7j766F8GnABSiIiIo2mroH1/w0/2xJdBbwBGNCTqDvrjPoaN7Msou6vLsBv3H2RmZ0AjDCzC4Fy4Hp3Xwd0BDYkvL00lNVVXlpDeU1xjAHGAHzhC1+oL2wREUlSrWMi7j4gPFz4PtDH3Yvc/VSihw3Lkmnc3fe4ey+ip937mlkh0Ibo2ZMi4HfAQwf6IZKIY3KIvygvLy/TpxMRaTGSedjwJHevvCsLd19FNK6RNHevAOYTjVmUAo+FQ48TXdlAlJg6JbwtP5TVVZ5fQ7mIiDSSZJLICjObYmb9w+t3wIr63mRmeeEhRcwsBzgb+BvRQ4sDQrWvAX8P23OAy8NdWv2Are7+PjAPOMfM2oeJIM8B5oVjH5lZv3BX1uVEqzCKiEgjSeaJ9SuIBsN/EPYXEN0VVZ/jgKlhXOQQYJa7zzWzV4HpZvYjooH30aH+M8AQYD2wPZwXd99sZj8HloR6EysH2YFrgEeAHKIBdQ2qi4g0IotuhqqnUnQl8QV3X5v5kDKrqKjIi4vrfcxFREQCM1saxrH3U293lpkNJZoC/rmw38vM5qQ3RBERiaNkxkRuAvoSpn939xIg1QcQRUTkIJJMEtnl7lurldXfByYiIge9ZAbWV5vZt4EsM+sKXA/8NbNhiYhIHCRzJXId0J1oLqw/Ah8BP8xkUCIiEg/JrCeyHfhZeImIiFSpawLGOu/Acveh6Q9HRETipK4rkTOIJj78I9FU61qrQ0RE9lFXEvk80VQllwDfBp4G/ujuqxsjMBE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dcidnamestateLabor Force Per CapitaLabor Force Per Capita_date
0geoId/06085Santa Clara CountyCalifornia0.5311952020-08
1geoId/06001Alameda CountyCalifornia0.4823852020-08
2geoId/48085Collin CountyTexas0.5600762020-08
3geoId/53033King CountyWashington0.5730652020-08
4geoId/48453Travis CountyTexas0.6030122020-08
5geoId/53061Snohomish CountyWashington0.5362552020-08
6geoId/55079Milwaukee CountyWisconsin0.4987102020-08
7geoId/48439Tarrant CountyTexas0.5242352020-08
8geoId/12103Pinellas CountyFlorida0.5005512020-08
9geoId/41051Multnomah CountyOregon0.5585202020-08
10geoId/29189St. Louis CountyMissouri0.5324702020-08
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" - ], - "text/plain": [ - " dcid ... Labor Force Per Capita_date\n", - "0 geoId/06085 ... 2020-08\n", - "1 geoId/06001 ... 2020-08\n", - "2 geoId/48085 ... 2020-08\n", - "3 geoId/53033 ... 2020-08\n", - "4 geoId/48453 ... 2020-08\n", - "5 geoId/53061 ... 2020-08\n", - "6 geoId/55079 ... 2020-08\n", - "7 geoId/48439 ... 2020-08\n", - "8 geoId/12103 ... 2020-08\n", - "9 geoId/41051 ... 2020-08\n", - "10 geoId/29189 ... 2020-08\n", - "\n", - "[11 rows x 5 columns]" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 23 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "I8HPJyBkgWTA" - }, - "source": [ - "## Choropleth Visualization" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "HVeZzzl4gWTA" - }, - "source": [ - "Since we just computed similarity for all counties, we will display a choropleth (heatmap) allowing us to visualize a geographical distribution of counties that are similar to Santa Clara based on the statistical variables and settings we just described. In the below heatmap, the darker the color is, the similar the county is with Santa Clara. This may take a while." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "nsOOR648gWTB" - }, - "source": [ - "def heatmap_visualization(df, display_topK, k):\n", - " filename = 'us_counties.json'\n", - " with urlopen('https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json') as response:\n", - " counties_geo = json.load(response)\n", - " df_choro = copy.deepcopy(df)\n", - " df_choro['dcid'] = df_choro['dcid'].apply(lambda x: str(x).replace('geoId/', ''))\n", - " if display_topK:\n", - " df_choro = df_choro[:k + 1]\n", - " fig = px.choropleth(df_choro, geojson=counties_geo, locations='dcid', color=df_choro.index,\n", - " color_continuous_scale=\"Viridis\",\n", - " range_color=(0, len(df_choro) - 1),\n", - " scope=\"usa\",\n", - " labels={'index': 'rank'}, hover_data={'name'}\n", - " )\n", - " fig.update_layout(margin={\"r\": 0, \"t\": 0, \"l\": 0, \"b\": 0})\n", - " fig.show()" - ], - "execution_count": 24, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 542 - }, - "id": "i7IR48wFgWTG", - "outputId": "582fab31-da35-4296-8f93-27da9b75a053" - }, - "source": [ - "display_topK = False\n", - "heatmap_visualization(df, display_topK, K)" - ], - "execution_count": 25, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "
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\n", - "\n", - "" - ] - }, - "metadata": { - "tags": [] - } - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "FW3tqMOogWTJ" - }, - "source": [ - "## What's Next?\n", - "You can explore more statistical variable combinations with different settings (snapshot/time series, per capita or different similarity metrics or all of them)! Also don't forget you can change your query place to somewhere else. We provide a few suggestions below just to get you started! Good luck with exploring!" - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "PW0DkG8MgWTK", - "outputId": "e63e65fc-fe61-4110-cc86-45481f6ceb94" - }, - "source": [ - "query_dcid = 'geoId/36103' # Suffolk county\n", - "places = dc.get_places_in(['country/USA'], \"County\")['country/USA']\n", - "statvars = ['Amount_EconomicActivity_GrossDomesticProduction_RealValue', 'Count_Establishment', 'WagesAnnual_Establishment']\n", - "statvar_display_names = ['GDP', 'Number of Establishments', 'Annual Wages of Establishments']\n", - "per_capita = [True, True, True]\n", - "time_series = [True, True, False]\n", - "time_series_similarity_types = ['pearson', 'pearson', '']\n", - "similar = True\n", - "K = 10\n", - "df = retrieve_compute_visualize(query_dcid, places, statvars, statvar_display_names, per_capita, time_series, time_series_similarity_types, similar, K, quiet=True)\n", - "df.head(K + 1)" - ], - "execution_count": 26, - "outputs": [ - { - "output_type": "stream", - "text": [ - "===================================Plotting GDP time series===================================\n" - ], - "name": "stdout" - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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D878BR4Xn3YDNKcdWhrK6yitrKT+ImV1jZuVmVq7WhtQn39aqEslnSbdEPuvuW8zs08ALZnbAMrDu7maW+Cipu08EJkI0JpL0+0nj5dMYRD5OhRXJV4m2RNx9S/j5NjALGAj8T+imIvx8O+y+BTgm5fDiUFZXeXEt5VJg8u1+GZoKK9JwiSURMzvMzNpXPweGASuB2cDIsNtI4JnwfDYwwiKnAjtCt9d8YJiZHWFmR4R65odt75vZqWFm14iUuqSA5Nv9MrSgn0jDJdmddRQwK0yZbQX8xt1/Z2ZLgJlm9nXgv4HqRafmEU3vXU80xfdKAHd/18x+BCwJ+91ePcgOXMf+Kb7PkcGguuRe3Dc5iqNbTFdSizRMYknE3TcCJ9ZSvg0YWku5A9enqWsSMKmW8nKgX5ODlZzKt5sciUjDadkTybl8u8mRiDSclj2RnItrOQ5NzRXJPiURyQv5dpMjEWkYdWdJs6GpuSLZp5aINBtapVYk+5REpFnR1FyR7FJ3loiIZEwtEWmyfFr3SkSyS0lEmkQX+Im0bOrOkibRBX4iLZuSiDSJLvATadmURKRJ0l3Ipwv8RFoGJZEW7OnlWzhj/AJ63DqXM8YvyOj+HbrAT6Rl08B6CxXXgLgu8BNp2ZREWqi6BsQbmwB0gZ9Iy6XurBZKA+IiEgclkRZKA+IiEgclkRZKA+IiEgeNibRQGhAXkTgoibRgGhAXkaZSEilAWvBQRPJF4mMiZlZkZsvNbE54PcXM3jSzivAoDeVmZg+a2XozW2FmJ6fUMdLM3giPkSnlA8zstXDMg2ZmSZ9PrlVf37Fl+y6c/dd3ZHKhoIhIU2VjYP1GYE2NsjHuXhoeFaHsi0Cv8LgGeATAzI4EbgNOAQYCt5nZEeGYR4CrU44bnuSJ5AMteCgi+STRJGJmxcCXgEcbsPu5wOMeeRnoaGZHA2cBL7j7u+7+HvACMDxsO9zdX3Z3Bx4HzkvmTPKHru8QkXySdEtkAnAL8EmN8jtCl9X9ZtYmlHUDNqfsUxnK6iqvrKX8IGZ2jZmVm1l5VVVVxieTD3R9h4jkk8SSiJl9GXjb3ZfW2DQW6A38C3Ak8L2kYqjm7hPdvczdy7p06ZL02yVK13eISD5JcnbWGcA5ZnY2cChwuJn9p7tfHrZ/bGaTgZvD6y3AMSnHF4eyLcDgGuUvhvLiWvbPW3HMqtL1HSKSTxJLIu4+lqjVgZkNBm5298vN7Gh33xpmUp0HrAyHzAZGm9l0okH0HWG/+cCdKYPpw4Cx7v6umb1vZqcCi4ERwM+SOp+mivM2srq+Q0TyRS6uE5lmZl0AAyqAb4byecDZwHrgQ+BKgJAsfgQsCfvd7u7vhufXAVOAtsBz4ZGX4lw1V0QkX2Qlibj7i0RdULj7kDT7OHB9mm2TgEm1lJcD/eKKM504uqE0q0pEmiMtwFiPuC7u06wqEWmOlETqEdfFfZpVJSLNkdbOqkdc3VCaVSUizZGSSD26dmzLlloSRibdUJpVJSLNjbqz6qFuKBGR9NQSqYe6oURE0lMSaQB1Q4mI1E7dWSIikjElERERyZiSiIiIZExJREREMqYkIiIiGVMSERGRjCmJiIhIxpREREQkY0oiIiKSMSURERHJmJKIiIhkTElEREQypiQiIiIZUxIREZGMJZ5EzKzIzJab2ZzwuoeZLTaz9WY2w8wOCeVtwuv1YXv3lDrGhvLXzeyslPLhoWy9md2a9LmIiMiBstESuRFYk/L6LuB+d/9n4D3g66H868B7ofz+sB9m1ge4GOgLDAd+HhJTEfAw8EWgD3BJ2FdERLIk0SRiZsXAl4BHw2sDhgBPhF2mAueF5+eG14TtQ8P+5wLT3f1jd38TWA8MDI/17r7R3f8OTA/7iohIliTdEpkA3AJ8El53Ara7+57wuhKovmVgN2AzQNi+I+y/r7zGMenKRUQkSxqURMysc2MrNrMvA2+7+9JGRxUzM7vGzMrNrLyqqirX4YiINBt1JhEz+1czqwJeM7NKMzu9EXWfAZxjZpuIupqGAA8AHc2s+t7uxcCW8HwLcEx431ZAB2BbanmNY9KVH8TdJ7p7mbuXdenSpRGnICIidamvJXIHMMjdjwa+AvykoRW7+1h3L3b37kQD4wvc/TJgIXBh2G0k8Ex4Pju8Jmxf4O4eyi8Os7d6AL2AV4AlQK8w2+uQ8B6zGxqfiIg0Xat6tu9x97UA7r7YzNrH8J7fA6ab2Y+B5cBjofwx4Ndmth54lygp4O6rzGwmsBrYA1zv7nsBzGw0MB8oAia5+6oY4hMRkQay6I/9NBvNKoH7Uoq+k/ra3e876KA8V1ZW5uXl5bkOQ0SkoJjZUncvq1leX0vkV0D7Ol6LiEgLVmcScfcfZisQEREpPPVO8TWzM83sSTNbFR5PmNngLMQmIiJ5rr4pvl8CJgFzgEuBy4B5wCQzOzv58EREJJ/VNyYyBjjP3V9NKasws3LgZ0QJRUREWqj6urM+UyOBAODuK4CjkglJREQKRX1J5H8z3CYiIi1Afd1ZPc2stqvADfinBOIREZECUl8SqW1p9eqrE++NORYRESkw9SWRjkCxuz8MYGavAF2IEsn3Eo5NRETyXH1jIrdw4KKGhwBlwGDgmwnFJCIiBaK+lsgh7p5646eX3H0bsM3MDkswLhERKQD1tUSOSH3h7qNTXurGHCIiLVx9SWSxmV1ds9DMvkF0Tw8REWnB6uvOugl42swuBZaFsgFAG+C8JAMTEZH8V98qvm8Dp5vZEKBvKJ7r7gsSj0xERPJefS0RAELSUOIQEZED1LsUvIiISDpKIiIikjElERGR5mzFTLi/H4zrGP1cMTPW6hs0JiIiIgVoxUx49gbYvSt6vWNz9Bqg5KJY3kItERGR5uoPt+9PINV274rKY5JYEjGzQ83sFTN7Ndyb/YehfIqZvWlmFeFRGsrNzB40s/VmtsLMTk6pa6SZvREeI1PKB5jZa+GYB83MkjofEZGCs6OyceUZSLI762NgiLt/YGatgZfM7LmwbYy7P1Fj/y8CvcLjFOAR4BQzOxK4jWjhRweWmtlsd38v7HM1sJjoVr3DgecQERHoUBx1YdVWHpPEWiIe+SC8bB0eXsch5wKPh+NeBjqa2dHAWcAL7v5uSBwvAMPDtsPd/WV3d+BxdBW9iMh+Q38ArdseWNa6bVQek0THRMysyMwqgLeJEsHisOmO0GV1v5m1CWXdgNSUWRnK6iqvrKW8tjiuMbNyMyuvqqpq8nmJiBSEkovgXx+EDscAFv381wdjG1SHhGdnufteoNTMOgKzzKwfMBb4G9G9SSYS3dwqvlGe2uOYGN6LsrKyulpDIiLNS8lFsSaNmrIyO8vdtwMLgeHuvjV0WX0MTAYGht22AMekHFYcyuoqL66lXEREsiTJ2VldQgsEM2sLfAFYG8YyCDOpzgNWhkNmAyPCLK1TgR3uvhWYDwwzsyPM7AhgGDA/bHvfzE4NdY0AnknqfERE5GBJdmcdDUw1syKiZDXT3eeY2QIz6wIYUMH+2+zOA84G1gMfAlcCuPu7ZvYjYEnY73Z3fzc8vw6YArQlmpWlmVkiIllk0cSmlqOsrMzLy8tzHYaISEExs6XuXlazXFesi4hIxpREREQkY0oiIiKSMSURERHJmJKIiEg+Svg+IHHR/URERPJNFu4DEhe1RERE8k0W7gMSFyUREZF8k4X7gMRFSUREJN+ku99HjPcBiYuSiIhIvsnCfUDioiQiIpJvsnAfkLhodpaISJxWzIwGwHdURt1PQ3+Q2Zd/wvcBiYuSiIhIXApoam5c1J0lIhKXApqaGxclERGRuBTQ1Ny4KImIiFRr6lIjBTQ1Ny5KIiIisH88Y8dmwPePZzQmkRTQ1Ny4KImIiEA84xkFNDU3LpqdJSIC8Y1nFMjU3LioJSIiAi1yPCMOSiIiUvjiuPdGCxzPiENiScTMDjWzV8zsVTNbZWY/DOU9zGyxma03sxlmdkgobxNerw/bu6fUNTaUv25mZ6WUDw9l683s1qTORUTyWBwD4tAixzPiYO6eTMVmBhzm7h+YWWvgJeBG4DvAU+4+3cx+Abzq7o+Y2XVAibt/08wuBs5396+ZWR/gv4CBQFfg98Bx4W3WAV8AKoElwCXuvrquuMrKyry8vDz+ExaR3Li/X0ggNXQ4Bm5amf14mikzW+ruZTXLE2uJeOSD8LJ1eDgwBHgilE8FzgvPzw2vCduHhkR0LjDd3T929zeB9UQJZSCw3t03uvvfgelhXxFpSVrgBX75JNExETMrMrMK4G3gBWADsN3d94RdKoFu4Xk3YDNA2L4D6JRaXuOYdOW1xXGNmZWbWXlVVVUcpyYicYhjLEMD4jmVaBJx973uXgoUE7Uceif5fnXEMdHdy9y9rEuXLrkIQURqimssQwPiOZWV2Vnuvh1YCJwGdDSz6utTioEt4fkW4BiAsL0DsC21vMYx6cpFJGlxtCDiWqxQA+I5ldjFhmbWBdjt7tvNrC3RAPhdRMnkQqIxjJHAM+GQ2eH1orB9gbu7mc0GfmNm9xENrPcCXgEM6GVmPYiSx8XApUmdj0hG4rq3RD6Ja7nzOMcyWtgFfvkkySvWjwammlkRUYtnprvPMbPVwHQz+zGwHHgs7P8Y8GszWw+8S5QUcPdVZjYTWA3sAa53970AZjYamA8UAZPcfVWC5yPSOHHeWyKuZBRHPXW1IBpTV4fiNLOqNJZRSBKb4puvNMVXsiauqac1kxFEff6N7bKJq55xHYkmWtZkMG579uORrMj6FF+RghZHn39c3TVxjR3EVU9cs6E0ltEsaAFGkZri6oaKq7smrmQUVz1Df1B7CyKT2VAayyh4aomI1BTXX+xxTT2N6y9/tSAkAWqJiNQU55Lg0PSB7Lj+8lcLQhKgJCJSU5yzhuL4so0rGcVVj0gKzc6S5iWOKayaNSRykHSzs9QSkeYjrgFx/cUu0mBKItJ8xHURHKjPX6SBNDtLmg8tCS6SdUoi0nxoSXCRrFMSkfyge2SLFCSNiUjuaUBcpGApiUjuaUBcpGCpO0tyTwPiIgVLSURyTwPiIgVLSURyTwPiIgVLSURyT6vCihQsDaxLftCAuEhBUktEREQypiQiIiIZUxIREZGMKYmIiEjGEksiZnaMmS00s9VmtsrMbgzl48xsi5lVhMfZKceMNbP1Zva6mZ2VUj48lK03s1tTynuY2eJQPsPMDknqfKQOcax7JSIFKcmWyB7gu+7eBzgVuN7M+oRt97t7aXjMAwjbLgb6AsOBn5tZkZkVAQ8DXwT6AJek1HNXqOufgfeAryd4PlKb6nWvdmwGfP+6V0okIi1CYknE3be6+7LwfCewBuhWxyHnAtPd/WN3fxNYDwwMj/XuvtHd/w5MB841MwOGAE+E46cC5yVzNpJWXeteiUizl5UxETPrDpwELA5Fo81shZlNMrMjQlk3YHPKYZWhLF15J2C7u++pUV7b+19jZuVmVl5VVRXDGck+WvdKpEVLPImYWTvgSeDb7v4+8AjQEygFtgI/TToGd5/o7mXuXtalS5ek365wxDGWoXWvRFq0RJOImbUmSiDT3P0pAHf/H3ff6+6fAL8i6q4C2AIck3J4cShLV74N6GhmrWqUS0PENZahda9EWrQkZ2cZ8Biwxt3vSyk/OmW384GV4fls4GIza2NmPYBewCvAEqBXmIl1CNHg+2x3d2AhcGE4fiTwTFLn0+zENZahda9EWrQk1846A7gCeM3MKkLZvxPNrioFHNgEfAPA3VeZ2UxgNdHMruvdfS+AmY0G5gNFwCR3XxXq+x4w3cx+DCwnSlrSEHGOZWjdK5EWK7Ek4u4vAVbLpnl1HHMHcEct5fNqO87dN7K/O0wao0Nx6MqqpVxEpIF0xXohimNAXGMZIhIDLQVfaKoHxKvHM6oHxKFxXUrV+/7h9qgLq0NxlEDULSUijaAkUmjqGhBvbALQWIaINJG6s7Ipjm4oXdwnInlESSRb4rouQxf3iUgeURLJlriuy9CAuIjkESWRbImrG0oX94lIHtHAekOsmNn0WUxxXpehAXERyRNqidRHa0yJiKSlJFIfrTElIpKWurPqozWmRETSUkukPppSKyKSlpJIfTSWISKSlpgnjHwAAAaMSURBVJJIfTSWISKSlsZEGkJjGSIitVJLREREMqYkIiIiGVMSERGRjCmJiIhIxpREREQkY+buuY4hq8ysCvjvHIfRGXgnxzFUy6dYQPHUR/Gkl0+xQPOL51h371KzsMUlkXxgZuXuXpbrOCC/YgHFUx/Fk14+xQItJx51Z4mISMaUREREJGNKIrkxMdcBpMinWEDx1EfxpJdPsUALiUdjIiIikjG1REREJGNKIiIikjElkRiY2TFmttDMVpvZKjO7MZQfaWYvmNkb4ecRodzM7EEzW29mK8zs5FBeamaLQh0rzOxruYwnpb7DzazSzB7KZSxm9o9m9ryZrQn1dc9xPHeHOtaEfSwL8fQOn5GPzezmGnUNN7PXQ6y3NjaWOONJV08u/33C9iIzW25mc3IZi5l1NLMnzGxt+PycluN4bgp1rDSz/zKzQxsciLvr0cQHcDRwcnjeHlgH9AHuBm4N5bcCd4XnZwPPAQacCiwO5ccBvcLzrsBWoGOu4kmp7wHgN8BDuYwFeBH4QnjeDvhUDn9XpwN/AYrCYxEwOAvxfBr4F+AO4OaUeoqADcA/AYcArwJ9chhPrfXkKp6U+r4TPstzchkLMBW4Kjw/hOz8P0/3u+oGvAm0Da9nAqMaHEdjA9ejQb/cZ4AvAK8DR6f8wl8Pz38JXJKy/779atTzKiGp5CoeYAAwHRhFBkkkrljCf46X8uV3BZwGLAXaAp8CyoETko4nZb9xNb4ITgPmp7weC4zNVTzp6sllPEAx8AdgCBkkkRh/Vx2IvrQtm5/lOuLpBmwGjiS6x9QcYFhD31fdWTELXSwnAYuBo9x9a9j0N+Co8Lz6l1atMpSl1jOQ6C+UDbmKx8z+AfgpcFC3QLZjIWqlbTezp0J3xD1mVpSreNx9EbCQqLW4legLfE0W4kmn3s9UluNJV08u45kA3AJ80pQ4YoilB1AFTA6f5UfN7LBcxePuW4B7gbeIPss73P35hr63kkiMzKwd8CTwbXd/P3WbRym/QfOpzexo4NfAle6e8Qc+hniuA+a5e2WmMcQYSytgEFFC+xeibptRuYrHzP4ZOIHor9tuwBAzG5SreOIW42c5bT3ZjMfMvgy87e5LM40hrliIPssnA4+4+0nA/xJ1O+UknjBmci5RcusKHGZmlzf0/ZVEYmJmrYl+kdPc/alQ/D8hIVQnhrdD+RbgmJTDi0MZZnY4MBf4vru/nON4TgNGm9kmor9URpjZ+BzFUglUuPtGd98DPE30H7HRYornfOBld//A3T8gGjdp9OBoBvGkk/YzlaN40tWTq3jOAM4Jn+XpREn/P3MUSyVQ6e7VLbMnyM5nOZ3PA2+6e5W77waeIhrzaxAlkRiYmQGPAWvc/b6UTbOBkeH5SKI+y+ryERY5laj5uNXMDgFmAY+7+xO5jsfdL3P3f3T37kQtgMfdvVF/McUVC7AE6Ghm1auIDgFWNyaWmON5C/icmbUK/5E/BzS6OyuDeNJZAvQysx7hc3RxqCMn8dRRT07icfex7l4cPssXAwvcvcF/bcccy9+AzWZ2fCgaSnY+y+m8BZxqZp8KdQ6lMZ/lOAd2WuoD+CxRk3EFUBEeZwOdiAby3gB+DxwZ9jfgYaLxjteAslB+ObA7pY4KoDRX8dSocxSZzc6KLRaiQcMVoXwKcEgOf1dFRIPua4i+AO7L0mfnM0R/yb4PbA/PDw/bziaaobOBqCWbs3jS1ZPLf5+UOgeT2eysOH9XpUSTMVYQtaqPyHE8PwTWAiuJutLbNDQOLXsiIiIZU3eWiIhkTElEREQypiQiIiIZUxIREZGMKYmIiEjGlEREEmTRaq3XheddzSzj639E8pGm+IokKKxpNMfd++U4FJFEtMp1ACLN3Higp5lVEF38dYK79zOzUcB5wGFAL6JlZQ4BrgA+Jrow710z60l0sWMX4EPgandfm/3TEKmdurNEknUrsMHdS4ExNbb1Ay5g/z0ePvRoQb5FwIiwz0TgW+4+gGjpmZ9nJWqRBlJLRCR3Frr7TmCnme0Ang3lrwElYXXW04Hf2v6bJrbJfpgi6SmJiOTOxynPP0l5/QnR/81/ALaHVoxIXlJ3lkiydhLdurTRPLo3xJtm9lXYd7/3E+MMTqSplEREEuTu24C/mNlK4J4MqrgM+LqZvQqsIrp5kEje0BRfERHJmFoiIiKSMSURERHJmJKIiIhkTElEREQypiQiIiIZUxIREZGMKYmIiEjG/g9D2AA8XD0RmgAAAABJRU5ErkJggg==\n", 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\n", 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S4inUGlaxURIRyZCkDc1NWjygZqhCoNFZIhmStKG5SYtHCoOSiEiGJG1obtLikcKgJCKSIUmbv5C0eKQwqE9EJEOS1nGctHikMGgVXxERaZJW8RURkdgpiYiISNoymkTMbLWZLTOzGjOrDmXdzOwJM3sj/N0nlJuZTTOzlWa21MyOTjnO2LD9G2Y2NqX8mHD8lWFfy+T7keKhK+WJNE82aiLD3b0ypS1tEvCUux8KPBUeA3wRODTcxgO3QpR0gGuB44CBwLV1iSdsc3HKfqMy/3ak0CXtIlAiSZaL5qwzgN+F+78Dzkwpn+mR54FSM9sfOBl4wt3fdff3gCeAUeG5Lu7+vEejA2amHEskbbpSnkjzZTqJOPC4mS02s/GhrKe7rwv3/wH0DPd7A2tS9q0NZXsqr22gfDdmNt7Mqs2sWsu9S1M0s1uk+TKdRD7v7kcTNVVdbmb/nvpkqEFkfIyxu9/u7lXuXtWjR49Mv5zkOc3sFmm+jCYRd18b/r4DPEDUp/HP0BRF+PtO2HwtcEDK7mWhbE/lZQ2Ui7SKZnaLNF/GkoiZ7W1mnevuAycBy4E5QN0Iq7HAQ+H+HGBMGKV1PLA5NHvNA04ys31Ch/pJwLzw3PtmdnwYlTUm5ViSZ5I0Giquy7+KFINMLnvSE3ggjLptA/zB3f/HzBYBs83sQuBvwNlh+0eBU4CVwIfA+QDu/q6Z/RewKGz3Q3d/N9y/DJgBdAQeCzfJM0m7zkXd6yppiDRNy55Izg2Z8nSDl0ntXdqR5yaNyEFEIlKflj2RxNJoKJH8pVV8Jed6lXZssCaSzmioJF1DXKQYqCYiORfXaCjNNBfJPiURybm4RkNpprlI9qk5SxIhjtFQ6lsRyT7VRKRgaKa5SPYpiUjB0ExzkexTc5YUDF1DXCT7lESkoGimuUh2qTlLRETSpiQiIiJpUxIREZG0KYmIiEjalERERCRtGp0lraZFD0WKl5KItEoSLyglItmj5ixpFS16KFLclESkVbTooUhxUxKRVtGihyLFTUlEWkWLHooUN3WsS6to0UOR4qYkUsTiGpqrRQ9FipeSSJHS0FwRiYP6RIqUhuaKSByURIqUhuaKSByURIqUhuaKSByURIqUhuaKSBzUsV6kNDRXROKgJFLENDRXRFpLzVkiIpI2JREREUmbkoiIiKRNSURERNKmjvU8pMvRikhSZLwmYmYlZrbEzOaGxzPM7C0zqwm3ylBuZjbNzFaa2VIzOzrlGGPN7I1wG5tSfoyZLQv7TDMzy/T7ybW6Na/WbvoI59M1rx5csjbXoYlIEcpGc9a3gBX1yia6e2W41YSyLwKHhtt44FYAM+sGXAscBwwErjWzfcI+twIXp+w3KpNvJAm05pWIJElGk4iZlQGnAnc0Y/MzgJkeeR4oNbP9gZOBJ9z9XXd/D3gCGBWe6+Luz7u7AzOBMzPzTpJDa16JSJJkuiYyFbga2FGv/IbQZPVTM2sfynoDa1K2qQ1leyqvbaC8oGnNKxFJkowlETM7DXjH3RfXe2oy0Bc4FugGfD9TMaTEMt7Mqs2sev369Zl+uYzSmlcikiSZrIkMAU43s9XALGCEmf3e3deFJqutwHSifg6AtcABKfuXhbI9lZc1UL4bd7/d3avcvapHjx6tf2c5dOZRvfnRVwbQu7QjBvQu7ciPvjJAo7NEJCcyNsTX3ScT1Tows2HA99z9XDPb393XhZFUZwLLwy5zgAlmNouoE31z2G4ecGNKZ/pJwGR3f9fM3jez44EXgDHAzzP1fpJEa16JSFLkYp7I3WbWAzCgBrgklD8KnAKsBD4EzgcIyeK/gEVhux+6+7vh/mXADKAj8Fi4iYhIllg0sKmJjcy6u/uGLMSTcVVVVV5dXZ2T19YkQRHJV2a22N2r6pfvsU/EzL5kZuuBZWZWa2aDMxZhgdMkQREpRE11rN8ADHX3/YGvAj/KfEiFSZMERaQQNZVEPnH31wDc/QWgc+ZDKkyaJCgihaipjvX9zOw7jT12959kJqxkiaMvo1dpR9Y2kDA0SVBE8llTNZHfENU+6m71Hxe8uPoyNElQRArRHmsi7n59tgJJqj31ZbSkNlK3rUZniUghaXKeiJkNByYQLVUC0Yq8v3D3P2UwrsSIsy9DkwRFpNA0NcT3VOBOYC7wH8BookmBd5rZKZkPL/e04KGISOOa6hOZCJzp7tPd/WV3r3H3O4mWK8n4wolJoL4MEZHGNdWc9Vl3f7l+obsvNbOeGYopUdSXISLSuKaSyP+m+VxBUV+GiEjDmkoih5jZnAbKDTg4A/GIiEgeaSqJnNFAWd2KjbfEHIuIiOSZppJIKVDm7r8EMLMXgR5EiaQoOtZFRKRxTY3OuproYlF12gFVwDA+vQ6IiIgUqaZqIu3cfU3K42fdfSOw0cz2zmBcIiKSB5qqieyT+sDdJ6Q8zO+LlYuISKs1lUReMLOL6xea2TeBFzMTkoiI5IummrOuAh40s/8AXgplxwDtiWati4hIEWtqFd93gMFmNgI4IhQ/4u5PZzwyERFJvCZX8QUISUOJQ0REdtFUn4iIiEijlERERCRtSiIiIpI2JREREUmbkoiIiKRNSURERNKmJCIiImlTEhERKWRLZ8NPy+G60ujv0tmxHr5Zkw1FRCQPLZ0ND18J2z6KHm9eEz0GqDg7lpdQTUREpFA99cNPE0idbR9F5TFREhERKVSba1tWngYlERGRQtW1rGXlaVASEREpVCOvgbYddy1r2zEqj4mSiIhIoao4G740DboeAFj090vTYutUhyyMzjKzEqAaWOvup5lZH2AWsC+wGDjP3f9lZu2BmUQXvdoIfN3dV4djTAYuBLYDV7r7vFA+CvgZUALc4e5TMv1+RESyYunsqAN8c23U/DTymvRO/hVnx5o06stGTeRbwIqUx/8N/NTd/w14jyg5EP6+F8p/GrbDzPoD3yC6KNYo4FdmVhKS0y+BLwL9gXPCtiIi+a1uaO7mNYB/OjQ35jkecchoEjGzMuBU4I7w2IARwL1hk9/x6WV2zwiPCc+PDNufAcxy963u/hawEhgYbivdfZW7/4uodnNGJt+PiEiT4pjcl4WhuXHJdE1kKnA1sCM83hfY5O6fhMe1QO9wvzewBiA8vzlsv7O83j6Nle/GzMabWbWZVa9fv76170lEpGFx1SCyMDQ3LhlLImZ2GvCOuy/O1Gs0l7vf7u5V7l7Vo0ePXIcjIoUqrhpEFobmxiWTNZEhwOlmtpqoqWkEUSd4qZnVdeiXAWvD/bXAAQDh+a5EHew7y+vt01i5iEhuxFWDyMLQ3LhkLIm4+2R3L3P3g4g6xp9299HAfOBrYbOxwEPh/pzwmPD80+7uofwbZtY+jOw6FHgRWAQcamZ9zKxdeI05mXo/IiJNiqsGkYWhuXHJxQKM3wdmmdn/BZYAvw3lvwXuMrOVwLtESQF3f8XMZgOvAp8Al7v7dgAzmwDMIxrie6e7v5LVdyIikmrkNbsueAjp1yAyPDQ3Lhb92C8eVVVVXl1dneswRCSJ4pibEdf8joQxs8XuXlW/XEvBi4hAfMum50kNIi5a9kREBPJqbkaSKImIiEBezc1IEiURERHIq7kZSaIkIiICeTU3I0mUREREIK/mZiSJRmeJiNQpspFVcVBNRERE0qYkIiIiaVMSERGRtCmJiEj+i+NCUJIWdayLSH6La7kSSYtqIiKS37RcSU4piYhIftNyJTmlJCIi+U3LleSUkoiI5DctV5JTSiIikt+0XElOaXSWiOQ/LVeSM6qJiIhI2pREREQkbUoiIiKSNiURERFJm5KIiIikTUlERETSpiQiIiJpUxIREZG0KYmIiEjalERERCRtSiIiIpI2JRERyR1d1jbvaQFGEckNXda2IKgmIiItF0cNQpe1LQiqiYgUk6Wzo5P05troyn8jr2n5r/64ahC6rG1BUE1EpFjUnfw3rwH805N/S2sRcdUgdFnbgqAkIlIs4jr5x1WD0GVtC0LGkoiZdTCzF83sZTN7xcyuD+UzzOwtM6sJt8pQbmY2zcxWmtlSMzs65VhjzeyNcBubUn6MmS0L+0wzM8vU+xHJe3Gd/OOqQeiytgUhk30iW4ER7v6BmbUFnjWzx8JzE9393nrbfxE4NNyOA24FjjOzbsC1QBXgwGIzm+Pu74VtLgZeAB4FRgGPISK761oWmrIaKG+Jkdfs2icC6dcgdFnbvJexmohHPggP24ab72GXM4CZYb/ngVIz2x84GXjC3d8NieMJYFR4rou7P+/uDswEzszU+xHJe3E1H6kGISkyOjrLzEqAxcC/Ab909xfM7FLgBjO7BngKmOTuW4HeQOrPpNpQtqfy2gbKG4pjPDAe4HOf+1wM70wkD9Wd5Fs7OqvuWEoaQoaTiLtvByrNrBR4wMzKgcnAP4B2wO3A94GMDgx399vDa1FVVbWn2pBIYdPJX2KWldFZ7r4JmA+Mcvd1oclqKzAdGBg2WwsckLJbWSjbU3lZA+UiIpIlmRyd1SPUQDCzjsAXgNdCXwZhJNWZwPKwyxxgTBildTyw2d3XAfOAk8xsHzPbBzgJmBeee9/Mjg/HGgM8lKn3IyIiu8tkc9b+wO9Cv8hewGx3n2tmT5tZD8CAGuCSsP2jwCnASuBD4HwAd3/XzP4LWBS2+6G7vxvuXwbMADoSjcrSyCwRkSyyaGBT8aiqqvLq6upchyEiklfMbLG7V9Uv14x1kXygJdMlobQAo0jSacl0STDVRESSTkumS4IpiYgknZZMlwRTEpHCUoh9B1oyXRJMSUQKR1zXy0gaLZkuCaYk0hyF+Ou2EBVq34EWPJQE0+ispmhkTP4o5L4DrXklCaWaSFMK9ddtIVLfgUjWKYk0pZB/3SZJHE2G6jsQyTolkabo123TWpsA4uoQj7PvQP1gIs2iPpGmxHkp0EIUR5/RnpoMW5oA4ug7UD+YSLOpJtKUQh4ZE8ev7Tj6jJLWZKh+MJFmU02kOeIaGbN0djyXJo1DXL+240gAXctCU1YD5bmQtKQmkmCqiWRLnBPhklKDgHj6jJLWIa5+MJFmUxLJlrhO2nElo7h+bceRAJLWZBhnUlMHvRQ4NWdlS1wn7bg6oeNqQqp7zdY20yVpMl1c70kd9FIElESyJa6Tdpw1iLhGnSUpAcQljvcU56gzkYRSc1a2xNVEEld7fdKakAqROuilCKgmki1xNZGoBpE/kjbqTCQDlESyKY6TdlzJSDJPE1WlCCiJ5CPVIPKDEr4UASURkUxSwpcCp451ERFJm5KIiIikTUlERETSpiQiIiJpUxIREZG0mbvnOoasMrP1wN9yHEZ3YEOOY6iTpFhA8TRF8TQuSbFA4cVzoLv3qF9YdEkkCcys2t2rch0HJCsWUDxNUTyNS1IsUDzxqDlLRETSpiQiIiJpUxLJjdtzHUCKJMUCiqcpiqdxSYoFiiQe9YmIiEjaVBMREZG0KYmIiEjalERiYGYHmNl8M3vVzF4xs2+F8m5m9oSZvRH+7hPKzcymmdlKM1tqZkeH8kozWxiOsdTMvp7LeFKO18XMas3sF7mMxcw+Z2aPm9mKcLyDchzPTeEYK8I2loV4+obvyFYz+169Y40ys9dDrJNaGkuc8TR2nFz++4TnS8xsiZnNzWUsZlZqZvea2Wvh+zMox/FcFY6x3Mz+aGYdmh2Iu+vWyhuwP3B0uN8Z+CvQH7gJmBTKJwH/He6fAjwGGHA88EIoPww4NNzvBawDSnMVT8rxfgb8AfhFLmMB/gR8IdzvBHwmh5/VYOA5oCTcFgLDshDPfsCxwA3A91KOUwK8CRwMtANeBvrnMJ4Gj5OreFKO953wXZ6by1iA3wEXhfvtyM7/88Y+q97AW0DH8Hg2MK7ZcbQ0cN2a9eE+BHwBeB3YP+UDfz3c/zVwTsr2O7erd5yXCUklV/EAxwCzgHGkkUTiiiX853g2KZ8VMAhYDHQEPgNUA/0yHU/KdtfVOxEMAualPJ4MTM5VPI0dJ5fxAGXAU8AI0kgiMX5WXYlO2pbN7/Ie4ukNrAG6EV1jai5wUnNfV81ZMQtNLEcBLwA93X1deOofQM9wv+5Dq1MbylKPM5DoF8qbuYrHzPYCfgzs1iyQ7ViIammbzOz+0C5kzBAAAAP3SURBVBxxs5mV5Coed18IzCeqLa4jOoGvyEI8jWnyO5XleBo7Ti7jmQpcDexoTRwxxNIHWA9MD9/lO8xs71zF4+5rgVuAt4m+y5vd/fHmvraSSIzMrBNwH/Btd38/9TmPUn6zxlOb2f7AXcD57p72Fz6GeC4DHnX32nRjiDGWNsBQooR2LFGzzbhcxWNm/wb0I/p12xsYYWZDcxVP3GL8Ljd6nGzGY2anAe+4++J0Y4grFqLv8tHAre5+FPC/RM1OOYkn9JmcQZTcegF7m9m5zX19JZGYmFlbog/ybne/PxT/MySEusTwTihfCxyQsntZKMPMugCPAD9w9+dzHM8gYIKZrSb6pTLGzKbkKJZaoMbdV7n7J8CDRP8RWyymeL4MPO/uH7j7B0T9Ji3uHE0jnsY0+p3KUTyNHSdX8QwBTg/f5VlESf/3OYqlFqh197qa2b1k57vcmBOBt9x9vbtvA+4n6vNrFiWRGJiZAb8FVrj7T1KemgOMDffHErVZ1pWPscjxRNXHdWbWDngAmOnu9+Y6Hncf7e6fc/eDiGoAM929Rb+Y4ooFWASUmlndKqIjgFdbEkvM8bwNnGBmbcJ/5BOAFjdnpRFPYxYBh5pZn/A9+kY4Rk7i2cNxchKPu09297LwXf4G8LS7N/vXdsyx/ANYY2aHh6KRZOe73Ji3gePN7DPhmCNpyXc5zo6dYr0BnyeqMi4FasLtFGBfoo68N4AngW5hewN+SdTfsQyoCuXnAttSjlEDVOYqnnrHHEd6o7Nii4Wo03BpKJ8BtMvhZ1VC1Om+gugE8JMsfXc+S/RL9n1gU7jfJTx3CtEInTeJarI5i6ex4+Ty3yflmMNIb3RWnJ9VJdFgjKVEtep9chzP9cBrwHKipvT2zY1Dy56IiEja1JwlIiJpUxIREZG0KYmIiEjalERERCRtSiIiIpI2JRGRDLJotdbLwv1eZpb2/B+RJNIQX5EMCmsazXX38hyHIpIRbXIdgEiBmwIcYmY1RJO/+rl7uZmNA84E9gYOJVpWph1wHrCVaGLeu2Z2CNFkxx7Ah8DF7v5a9t+GSMPUnCWSWZOAN929EphY77ly4Ct8eo2HDz1akG8hMCZscztwhbsfQ7T0zK+yErVIM6kmIpI78919C7DFzDYDD4fyZUBFWJ11MPD/7NOLJrbPfpgijVMSEcmdrSn3d6Q83kH0f3MvYFOoxYgkkpqzRDJrC9GlS1vMo2tDvGVmZ8HO670fGWdwIq2lJCKSQe6+EXjOzJYDN6dxiNHAhWb2MvAK0cWDRBJDQ3xFRCRtqomIiEjalERERCRtSiIiIpI2JREREUmbkoiIiKRNSURERNKmJCIiImn7/4ICnSJ3X851AAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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DEhGRXFVrryozuxe4GVgcPm42s3viDkxERHJTlPk4zgIKwuHVMbMJwDzgF3EGJiIiuSnqfRwtUpabxxGIiIgkQ5QrjnuBeWb2OkGX3JOB4bFGJSIiOStK4/jTZvYGcGxY9HN3/1esUYmISM6KcsWBu68BpsUci4iIJIDGqhIRkbQocYiISFpqTBxmlmdmS7MVjIiI5L4aE4e7fwUsM7NDshSPiIjkuCiN498EFpnZP4DPygvd/dzYohIRkZwVJXHcEXsUIiKSGFHu43jTzDoAh7v7X83sG0Be/KGJiEguijLI4bXAFGBsWNQOeD7OoEREJHdF6Y57I9AL2Azg7u8B34ozKBERyV1R2ji+cPcvzYKZY82sAcEMgCIikoOen7eaUS8v46ON22jbognDTu/MeYXtMnb8KInjTTP7BdDEzH4A3ABMz1gEIiKSMc/PW83tUxewbftXAKzeuI3bpy4AyFjyiFJVNRxYBywAfgy8CPxHRt5dREQyatTLyyqSRrlt279i1MvLMvYetSaOcAKnCcCvgLuACe4eqarKzPqZ2TIzW25muw3FbmaNzGxSuH6WmXUMy3uaWUn4mG9m54fljc3sH2HZIjO7K/pHFRGp+z7auC2t8j0RpVfVWcD7wBjgYWC5mZ0RYb884BHgDOAo4FIzO6rSZoOBf7v7YcBDwP1h+UKgyN0LgH7A2LBt5Qugj7sfDRQA/czs+No/pohI/dC2RZO0yvdElKqq3wKnuHtvd/8+cArBj3xtegLL3X2Fu38JPAP0r7RNf4KrGQi6/PY1M3P3re6+IyxvTNgY74FPw/KG4UMN9SIioWGnd6ZJw11vtWvSMI9hp3fO2HtESRxb3H15yusVwJYI+7UDVqW8LgvLqtwmTBSbgJYAZnacmS0iaFu5vjyRhAMvlgAfA6+4+6yq3tzMrjOzYjMrXrduXYRwRUSS77zCdtx7QXfatWiCAe1aNOHeC7pnp1eVmV0QLhab2YvAZIKz+wHA7IxFUI0wIXQ1syOBCWb2krt/Hg68WGBmLYDnzKybuy+sYv9xwDiAoqIiXZWISL1xXmG7jCaKymrqjntOyvJa4Pvh8jogSmXZauDglNftw7KqtikL2zCaAxtSN3D3JWb2KdANKE4p3xjOg96PoE1ERESyoNrE4e5X7+WxZwOHm1knggRxCXBZpW2mAVcCM4ELgdfc3cN9Vrn7jnCcrC7ASjNrDWwPk0YT4Ad83aAuIiJZUOsNgOGP+FCgY+r2tQ2rHv7oDwFeJhgU8XF3X2RmdwPF7j4NeAz4k5ktBz4hSC4AJwLDzWw7sBO4wd3Xm1k+QbVVHkH7zGR3fyGtTywiInvFarslw8zmE/zALyD4EQeCUXPjDS1zioqKvLi4uPYNRUQEADOb4+5FVa2LMuTI5+4+JsMxiYhIQkVJHP9pZiOAvxDcgAeAu8+NLSoREclZURJHd2AQ0Ievq6o8fC0iIvVMlMQxAPhuePe3iIjUc1HuHF8ItIg7EBERSYYoVxwtgKVmNptd2zhq7I4rIiJ1U5TEMSL2KEREclzcs+olSa2JI0n3a4iIxCEbs+olSZQ7x7fw9dDl+xMMZf6Zux8YZ2AiUrcl6Qy+pln1cjXmOEW54mhWvmxmRjCHhiZPEpE9lrQz+GzMqpckUXpVVQgnUnoeOD2meHLG8/NW0+u+1+g0fAa97nuN5+dVHthXRPZUNubFzqRszKqXJFGqqi5IebkfUAR8HltEOSBpZ0MiSZO0M/hhp3fe5TcBMj+rXpJE6VWVOi/HDmAlu08BW6eoPlMkXm1bNGF1FUkiV8/gy//fJ6VNJm5R2jj2dl6OxEna2ZBI0iTxDD7uWfWSpKapY++sYT9391/FEE9OSNrZkEjS6Aw+2Wq64visirKmwGCgJVBnE0cSz4ZEIFldXHUGn1w1TR372/JlM2sG3AxcDTwD/La6/eoCnQ1JEqlTh2RLjW0cZnYQcCtwOTABOMbd/52NwPY1nQ1J0qhTh2RLTW0co4ALgHFAd3f/NGtRiUja1KlDsqWmGwBvA9oC/wF8ZGabw8cWM9ucnfBEJCrdpCbZUm3icPf93L2Juzdz9wNTHs00TpVI7hl2emeaNMzbpUydOiQOUW4AFJEEUKcOyRYlDpE6RJ06JBvSGuRQREREVxwikhHbt2+nrKyMzz+v02Og1jmNGzemffv2NGzYMPI+ShwikhFlZWU0a9aMjh07EkzdI7nO3dmwYQNlZWV06tQp8n6qqhKRjPj8889p2bKlkkaCmBktW7ZM+ypRiUNEMkZJI3n25N9MiUNERNKixCEi+0Qc0zP/5je/oWvXruTn51NQUMCsWbNq3P6LL77g1FNPpaCggEmTJvH222/TtWtXCgoK2Lat6qFaVq5cSbdu3QB44oknGDJkSK1xvfTSSxQVFXHUUUdRWFjIbbfdlv6Hq8Xo0aPZunVrxo9bFTWOi9QgScOUJ0kcI/nOnDmTF154gblz59KoUSPWr1/Pl19+WeM+8+bNA6CkpASA66+/nttvv52BAwfuUQxVWbhwIUOGDGHGjBl06dKFr776inHjxmXs+OVGjx7NwIED+cY3vpHxY1emKw6RapT/uK3euA3n6x+3TJwZ13c1jeS7p9asWUOrVq1o1KgRAK1ataJt27YAdOzYkfXr1wNQXFxM7969+fjjjxk4cCCzZ8+moKCAsWPHMnnyZO644w4uv/xy3J1hw4bRrVs3unfvzqRJk2p8/xkzZnDCCSdUvE+5Bx54gF/+8pd06dIFgLy8PH7yk58AwdVLnz59yM/Pp2/fvvzzn/8E4KqrrmLKlCkVxzjggAMAeOONN+jduzcXXnghXbp0qYhzzJgxfPTRR5xyyimccsopPP7449xyyy0V+//3f/83P/3pT/f4u61MiUOkGnH8uEkgjpF8TzvtNFatWsURRxzBDTfcwJtvvlnj9t/61rd49NFHOemkkygpKeHHP/4x5557LqNGjWLixIlMnTqVkpIS5s+fz1//+leGDRvGmjVrqjzWc889x3333ceLL75Iq1atdlm3cOFCevToUeV+Q4cO5corr6S0tJTLL7+cm266qdbPOW/ePEaPHs3ixYtZsWIFf/vb37jpppto27Ytr7/+Oq+//joXXXQR06dPZ/v27QCMHz+eH/3oR7UeOyolDpFqaJjy+MQxku8BBxzAnDlzGDduHK1bt+biiy/miSee2OPjvfPOO1x66aXk5eXRpk0bvv/97zN79uzdtnvttde4//77mTFjBt/85jfTeo+ZM2dy2WWXATBo0CDeeeedWvfp2bMn7du3Z7/99qOgoICVK1futs0BBxxAnz59eOGFF1i6dCnbt2+ne/fuacVWEyUOkWpomPL4xDWSb15eHr179+auu+7i4Ycf5tlnnwWgQYMG7Ny5EyDjd7YfeuihbNmyhXfffbfK9V27dmXOnDlpHTM13p07d+7SVlNeFQfB592xY0eVx7jmmmt44oknGD9+PFdffXVa718bJQ6RamiY8vicV9iOey/oTrsWTTCgXYsm3HtB973qeLBs2TLee++9itclJSV06NABCNo4yn+8y5NJbU466SQmTZrEV199xbp163jrrbfo2bPnbtt16NCBZ599liuuuIJFixbttn7YsGHcc889FYll586d/OEPfwDge9/7Hs888wwAEydO5KSTTtot3mnTplVUOdWkWbNmbNmypeL1cccdx6pVq3jqqae49NJLI33mqNSrSqQaGqY8XpkeyffTTz9l6NChbNy4kQYNGnDYYYdV9F4aMWIEgwcP5o477qB3796Rjnf++eczc+ZMjj76aMyMBx54gG9/+9tVVg116dKFiRMnMmDAAKZPn86hhx5asS4/P5/Ro0dz6aWXsnXrVsyMs88+G4Df//73XH311YwaNYrWrVszfvx4AK699lr69+/P0UcfTb9+/WjatGmt8V533XX069evoq0D4KKLLqKkpCTtKrTamLtn9IC5qKioyIuLi/d1GCJ12pIlSzjyyCP3dRiS4uyzz+anP/0pffv2rXG7qv7tzGyOuxdVtb2qqkRE6piNGzdyxBFH0KRJk1qTxp6INXGYWT8zW2Zmy81seBXrG5nZpHD9LDPrGJb3NLOS8DHfzM4Pyw82s9fNbLGZLTKzm+OMX0QkiVq0aMG7777Ln//851iOH1viMLM84BHgDOAo4FIzO6rSZoOBf7v7YcBDwP1h+UKgyN0LgH7AWDNrAOwAbnP3o4DjgRurOKaIiMQoziuOnsByd1/h7l8CzwD9K23TH5gQLk8B+pqZuftWdy/vY9YYcAB3X+Puc8PlLcASQC2VIiJZFGevqnbAqpTXZcBx1W3j7jvMbBPQElhvZscBjwMdgEEpiQSAsFqrEKhyFDMzuw64DuCQQw7Zy4+S2zSekohkU842jrv7LHfvChwL3G5mjcvXmdkBwLPALe6+uZr9x7l7kbsXtW7dOjtB7wMaT0lEsi3OxLEaODjldfuwrMptwjaM5sCG1A3cfQnwKdAt3K4hQdKY6O5TY4k8QTSekiRW6WR4qBuMbBE8l07e60Oa2S5Dlj/44IOMHDlyr4+bKf/4xz84+eST6dy5M4WFhVxzzTUZHwr9iSee4KOPPsroMSuLM3HMBg43s05mtj9wCTCt0jbTgCvD5QuB19zdw30aAJhZB6ALsNKCqaoeA5a4++9ijD0xNJ6SJFLpZJh+E2xaBXjwPP2mvU4ejRo1YurUqbuNUJsL1q5dy4ABA7j//vtZtmwZ8+bNo1+/frvc7Z0JiU4cYZvEEOBlgkbsye6+yMzuNrNzw80eA1qa2XLgVqC8y+6JwHwzKwGeA25w9/VAL2AQ0Celu+6ZcX2GJNB4SpJIr94N2yud3GzfFpTvhQYNGnDdddfx0EMP7bZu+vTpHHfccRQWFnLqqaeydu1aAN58800KCgooKCigsLCQLVu2sGbNGk4++WQKCgro1q0bb7/9NgA/+clPKCoqomvXrowYMaLi2FUN217ZI488wpVXXskJJ5xQUXbhhRfSpk0bPvnkE8477zzy8/M5/vjjKS0tBWDkyJE8+OCDFdt369aNlStXsnLlSo488kiuvfZaunbtymmnnca2bduYMmUKxcXFXH755RQUFDBjxgzOO++8iv1feeUVzj///L34hgOxtnG4+4vufoS7H+ruvwnL7nT3aeHy5+4+wN0Pc/ee7r4iLP+Tu3d19wJ3P8bdnw/L33F3c/f8cF2Bu78Y52fIdRpPSRJpU1l65Wm48cYbmThxIps2bdql/MQTT+Tvf/878+bN45JLLuGBBx4AguqsRx55hJKSEt5++22aNGnCU089xemnn14xrHpBQQEQzDBYXFxMaWkpb775ZsUPfBQ1Da8+YsQICgsLKS0t5Z577uGKK66o9XjvvfceN954I4sWLaJFixY8++yzXHjhhRQVFTFx4kRKSko488wzWbp0KevWrQMyN7x6zjaOSzRxDBYnErvm7dMrT8OBBx7IFVdcwZgxY3YpLysr4/TTT6d79+6MGjWqYkDCXr16ceuttzJmzJiKca6OPfZYxo8fz8iRI1mwYAHNmjUDYPLkyRxzzDEUFhayaNEiFi9evNfxQjCE+6BBgwDo06cPGzZsYPPmKvv9VOjUqVNFQuvRo0eVY2iZGYMGDeLJJ59k48aNzJw5kzPOOGOv41XiqAPOK2zH34b34YP7zuJvw/vkfNKIY65pSZi+d0LDStWpDZsE5Rlwyy238Nhjj/HZZ59VlA0dOpQhQ4awYMECxo4dWzG8+vDhw3n00UfZtm0bvXr1YunSpZx88sm89dZbtGvXjquuuoo//vGPfPDBBzz44IO8+uqrlJaWctZZZ1UcI8qw7Xs7vHrlY0cdXv3qq6/mySef5Omnn2bAgAE0aLD3d2EocUhWqfuwAJB/EZwzBpofDFjwfM6YoDwDDjroIC666CIee+yxirJNmzbRrl1wUjVhwoSK8vfff5/u3bvz85//nGOPPZalS5fy4Ycf0qZNG6699lquueYa5s6dy+bNm2natCnNmzdn7dq1vPTSSxXHiDJs+5AhQ5gwYQKzZn1969nUqVNZu3YtJ510EhMnTgSC6WFbtWrFgQceSMeOHZk7dy4Ac+fO5cOn9ewAAAe0SURBVIMPPqj1s1ceXr1t27a0bduWX//61xmbl0OJQ7JK3YelQv5F8NOFMHJj8JyhpFHutttu26V31ciRIxkwYAA9evTYZXrX0aNH061bN/Lz82nYsCFnnHEGb7zxBkcffTSFhYVMmjSJm2++ueJ1ly5duOyyy+jVq1fFMUaMGMHNN99MUVEReXm7tjmWa9OmDc888ww/+9nP6Ny5M0ceeSQvv/wyzZo1Y+TIkcyZM4f8/HyGDx9ekdh++MMf8sknn9C1a1cefvhhjjjiiFo/91VXXcX1119PQUEB27YFHRAuv/xyDj744IyNXqxh1SWrOg2fQVV/cQZ8cN9Z2Q5HMkjDqueuIUOGUFhYyODBg6tcr2HVJaep+7BIdvXo0YPS0lIGDhyYsWMqcUhWqfuwSHbNmTOHt956a5fG9L2lqWMlqzQda93m7gQDPEhS7ElzhRKHZF2m55qW3NC4cWM2bNhAy5YtlTwSwt3ZsGEDjRs3rn3jFEocIpIR7du3p6ysrOIuZUmGxo0b0759ejdeKnGISEY0bNiQTp067eswJAvUOC4iImlR4hARkbQocYiISFrqxZ3jZrYO+HAPdm0F5N6MMNVLUrxJihWSFW+SYoVkxZukWGHv4u3g7lXOu10vEseeMrPi6m65z0VJijdJsUKy4k1SrJCseJMUK8QXr6qqREQkLUocIiKSFiWOmo3b1wGkKUnxJilWSFa8SYoVkhVvkmKFmOJVG4eIiKRFVxwiIpIWJQ4REUlLvUocZnawmb1uZovNbJGZ3RyWH2Rmr5jZe+HzN8NyM7MxZrbczErN7JiUY91vZgvDx8U5Em8XM5tpZl+Y2c8qHaufmS0LP8vwHI/1cTP72MwWZjrOTMdb3XFyNNbGZvYPM5sfHueuTMeayXhTjpdnZvPM7IVcjtXMVprZAjMrMbNYphzNcLwtzGyKmS01syVmdkLkQNy93jyA7wDHhMvNgHeBo4AHgOFh+XDg/nD5TOAlgplNjwdmheVnAa8QDBLZFJgNHJgD8X4LOBb4DfCzlOPkAe8D3wX2B+YDR+VirOG6k4FjgIU59LdQ3Xdb5XFyNFYDDgiXGwKzgONz9btNOd6twFPAC7kcK7ASaBXX32wM8U4ArgmX9wdaRI2jXl1xuPsad58bLm8BlgDtgP4EXyLh83nhcn/gjx74O9DCzL5D8A/1lrvvcPfPgFKg376O190/dvfZwPZKh+oJLHf3Fe7+JfBMeIxcjBV3fwv4JJPxxRVvDcfJxVjd3T8NXzYMHxnvHZPJvwUza09wovZopuPMdKzZkKl4zaw5wQnaY+F2X7r7xqhx1KvEkcrMOgKFBGddbdx9TbjqX0CbcLkdsCplt7KwbD7Qz8y+YWatgFOAg3Mg3upU9zlisZexZl2m4q10nFjsbaxhtU8J8DHwirvHFmv4fh3Zu+92NPB/gJ1xxJcqA7E68Bczm2Nm18USZIq9jLcTsA4YH1YDPmpmTaO+d71MHGZ2APAscIu7b05d58F1W41nYe7+F+BF4H+Bp4GZwFfxRLv38WZTkmKFzMVb03EyJROxuvtX7l4AtAd6mlm3OGKFvY/XzM4GPnb3OXHFmPJemfg7ONHdjwHOAG40s5MzH2kgA/E2IKgO/i93LwQ+I6jiiqTeJQ4za0jwhU9096lh8dqwCorw+eOwfDW7Xkm0D8tw99+4e4G7/4Cg7vjdHIi3OtV+jhyMNWsyFW81x8nJWMuF1RKvE0MVaxhPJuLtBZxrZisJqlf7mNmTORor7l7+2/Ax8BxBFXHGZSjeMqAs5YpzCkEiiaReJQ4zM4I6vSXu/ruUVdOAK8PlK4H/l1J+hQWOBza5+5rwcr9leMx8IB/4Sw7EW53ZwOFm1snM9gcuCY+Ri7FmRabireE4uRhrazNrES43AX4ALM3VeN39dndv7+4dCf5mX3P3gbkYq5k1NbNm5cvAaUDGewVm8Lv9F7DKzDqHRX2BxZED8Rh7AOTaAziR4BKuFCgJH2cCLYFXgfeAvwIHhdsb8AhBj6QFQFFY3jj8khcDfwcKciTebxOcSWwGNobLB4brziS4Knof+GWOx/o0sIagQa8MGJyr8VZ3nByNNR+YFx5nIXBnrv/dphyzN/H0qsrUd/tdgrbP+cCiOP6PxfD/rAAoDo/1PPDNqHFoyBEREUlLvaqqEhGRvafEISIiaVHiEBGRtChxiIhIWpQ4REQkLUocIhkWjjp6Q7jc1sym7OuYRDJJ3XFFMiwcQ+gFd49tOA+RfanBvg5ApA66Dzg0HEzwPeBId+9mZlcRjFraFDgceJBgOOtBwBcENw5+YmaHEtx42hrYClzr7hm/w1tkT6mqSiTzhgPvezCY4LBK67oBF/D1HAlbPRhkbiZwRbjNOGCou/cAfgb836xELRKRrjhEsut1D+ZR2GJmm4DpYfkCID8c9fR7wJ+DYYkAaJT9MEWqp8Qhkl1fpCzvTHm9k+D/437AxvBqRSQnqapKJPO2EEzrmTYP5lb4wMwGQMW890dnMjiRvaXEIZJh7r4B+JuZLQRG7cEhLgcGm1n5SKsZneZXZG+pO66IiKRFVxwiIpIWJQ4REUmLEoeIiKRFiUNERNKixCEiImlR4hARkbQocYiISFr+P8PzZv+z+CE5AAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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dcidnamestateAnnual Wages of EstablishmentsAnnual Wages of Establishments_date
0geoId/36103Suffolk CountyNew York20953.4380242016
1geoId/24027Howard CountyMaryland34285.3279482016
2geoId/36005Bronx CountyNew York8098.1655572016
3geoId/48439Tarrant CountyTexas18411.6169752016
4geoId/36081QueensNew York11554.6841342016
5geoId/36059Nassau CountyNew York21967.2798152016
6geoId/36047BrooklynNew York9435.5390212016
7geoId/51107Loudoun CountyVirginia23104.6463982016
8geoId/17197Will CountyIllinois13595.6302812016
9geoId/36029Erie CountyNew York20019.9438762016
10geoId/25009Essex CountyMassachusetts18943.2734882016
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" - ], - "text/plain": [ - " dcid ... Annual Wages of Establishments_date\n", - "0 geoId/36103 ... 2016\n", - "1 geoId/24027 ... 2016\n", - "2 geoId/36005 ... 2016\n", - "3 geoId/48439 ... 2016\n", - "4 geoId/36081 ... 2016\n", - "5 geoId/36059 ... 2016\n", - "6 geoId/36047 ... 2016\n", - "7 geoId/51107 ... 2016\n", - "8 geoId/17197 ... 2016\n", - "9 geoId/36029 ... 2016\n", - "10 geoId/25009 ... 2016\n", - "\n", - "[11 rows x 5 columns]" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 26 - } - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 402 - }, - "id": "DIjndezsgWTN", - "outputId": "177f2e59-71e5-4666-914c-41a4ee20fcc3" - }, - "source": [ - "query_dcid = 'geoId/15001' # Hawaii county\n", - "places = dc.get_places_in(['country/USA'], \"County\")['country/USA']\n", - "statvars = ['CumulativeCount_MedicalConditionIncident_COVID_19_ConfirmedOrProbableCase', 'CumulativeCount_MedicalConditionIncident_COVID_19_PatientDeceased']\n", - "statvar_display_names = ['Confirmed or Probable Cases', 'Patients Deceased']\n", - "per_capita = [False, False]\n", - "time_series = [False, False]\n", - "time_series_similarity_types = ['', '']\n", - "similar = True\n", - "K = 10\n", - "df = retrieve_compute_visualize(query_dcid, places, statvars, statvar_display_names, per_capita, time_series, time_series_similarity_types, similar, K, quiet=True)\n", - "df.head(K + 1)" - ], - "execution_count": 27, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/html": [ - "
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dcidnamestateConfirmed or Probable CasesConfirmed or Probable Cases_datePatients DeceasedPatients Deceased_date
0geoId/15001Hawaii CountyHawaii17652020-12-16432020-12-16
1geoId/18179Wells CountyIndiana17492020-12-16432020-12-16
2geoId/24047Worcester CountyMaryland17732020-12-16422020-12-16
3geoId/05005Baxter CountyArkansas17362020-12-16422020-12-16
4geoId/28163Yazoo CountyMississippi18212020-12-16442020-12-16
5geoId/01093Marion CountyAlabama17392020-12-16412020-12-16
6geoId/37123Montgomery CountyNorth Carolina16662020-12-16442020-12-16
7geoId/28117Prentiss CountyMississippi17982020-12-16402020-12-16
8geoId/17109McDonough CountyIllinois18132020-12-16462020-12-16
9geoId/28027Coahoma CountyMississippi17692020-12-16472020-12-16
10geoId/28057Itawamba CountyMississippi18912020-12-16442020-12-16
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SPDX-License-Identifier: Apache-2.0\n", - "\n", - "Notebook Version: 1.0\n", - "\n", - "**Authors**: *Suhana Bedi, Khoa Hoang & Samantha Piekos*\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "UiBlaVjfIx7g" - }, - "source": [ - "#Overview\n", - "This is an interactive notebook describing providing an aesthetic visualization of protein properties and interaction networks. The user can enter a protein name of their choice, upon which it will be queried on [data commons](https://datacommons.org), and the corresponding visualizations will be displayed on the notebook. \n", - "
\n", - "For each of the bar plots, an example protein is appended right next to its function to exemplify the graphical depiction. In addition, each bar plot is supported by a blurb, describing the information conveyed by it. \n", - "
\n", - "Users can always browse more about proteins on the [data commons graph browser](https://datacommons.org/browser/). " - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "6YfUSBTBpHdT", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "3afcfa4a-3562-4170-8d13-97b63e3bca2b" - }, - "source": [ - "#@title Install Data Commons\n", - "!pip install --upgrade --quiet datacommons" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\u001b[?25l\r\u001b[K |███████ | 10 kB 16.1 MB/s eta 0:00:01\r\u001b[K |██████████████ | 20 kB 22.0 MB/s eta 0:00:01\r\u001b[K |█████████████████████▏ | 30 kB 12.9 MB/s eta 0:00:01\r\u001b[K |████████████████████████████▏ | 40 kB 9.3 MB/s eta 0:00:01\r\u001b[K |████████████████████████████████| 46 kB 1.6 MB/s \n", - "\u001b[?25h" - ] - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "dMQ0gNYqo9yt" - }, - "source": [ - "#@title Import required packages\n", - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib.pyplot import figure\n", - "import math\n", - "import datacommons as dc\n", - "import ipywidgets as widgets\n", - "import networkx as nx\n", - "from copy import deepcopy" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "5vprEL2lGgEB" - }, - "source": [ - "### Visualization of Protein Properties" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "a86BRM9d0pWP" - }, - "source": [ - "#chart1\n", - "def chart_1(protein):\n", - " detected_protein = dc.get_property_values([protein], prop=\"detectedProtein\", out=False, value_type=\"HumanProteinOccurrence\")\n", - " detected_protein = list(detected_protein.values())[0]\n", - "\n", - " tissue_type = []\n", - " exp_score = []\n", - " for i in range(len(detected_protein)):\n", - " p = list(dc.get_property_values([detected_protein[i]], prop=\"humanTissue\").values())[0][0]\n", - " tissue_type.insert(i, p)\n", - " q = list(dc.get_property_values([detected_protein[i]], prop=\"proteinExpressionScore\").values())[0][0]\n", - " exp_score.insert(i, q)\n", - " df_1 = pd.DataFrame(list(zip(tissue_type, exp_score)),\n", - " columns =['tissue_type', 'exp_score'])\n", - " num_score = []\n", - " for i in df_1.index:\n", - " if df_1.loc[i,'exp_score'] == 'ProteinExpressionNotDetected':\n", - " num_score.append(0)\n", - " elif df_1.loc[i,'exp_score'] == 'ProteinExpressionLow': \n", - " num_score.append(1)\n", - " elif df_1.loc[i,'exp_score'] == 'ProteinExpressionMedium': \n", - " num_score.append(2) \n", - " else:\n", - " num_score.append(3)\n", - " df_1['num_score'] = num_score\n", - " color_dict = {'AdiposeTissue':'khaki', 'AdrenalGland':'bisque', 'Appendix':'peru', 'BoneMarrow':'lightyellow',\n", - " 'Breast':'mistyrose', 'Bronchus':'tomato', 'Cartilage':'seashell',\n", - " 'Caudate':'lightcoral', 'Cerebellum':'lightcoral', 'CerebralCortex':'lightcoral',\n", - " 'CervixUterine':'mistyrose', 'ChoroidPlexus':'lightcoral',\n", - " 'Colon':'maroon', 'DorsalRaphe':'lightcoral', 'Duodenum':'firebrick',\n", - " 'Endometrium1':'mistyrose', 'Endometrium2':'mistyrose',\n", - " 'Epididymis':'mistyrose', 'Esophagus':'chocolate', 'Eye':'coral',\n", - " 'FallopianTube':'mistyrose', 'Gallbladder':'rosybrown',\n", - " 'Hair':'salmon', 'HeartMuscle':'brown', 'Hippocampus':'lightcoral',\n", - " 'Hypothalamus':'lightcoral', 'Kidney':'bisque', 'LactatingBreast':'mistyrose',\n", - " 'Liver':'darksalmon','Lung':'tomato', 'LymphNode':'indianred', \n", - " 'Nasopharynx':'tomato', 'OralMucosa':'darkorange', 'Ovary':'mistyrose',\n", - " 'Pancreas':'orangered', 'ParathyroidGland':'snow', 'PituitaryGland':'sienna',\n", - " 'Placenta':'mistyrose', 'Prostate':'mistyrose', 'Rectum':'maroon', \n", - " 'Retina':'coral', 'SalivaryGland':'lightsalmon', 'SeminalVesicle':'mistyrose',\n", - " 'SkeletalMuscle':'linen', 'Skin':'peachpuff', 'Skin1':'peachpuff',\n", - " 'Skin2':'peachpuff', 'SmallIntestine':'ivory', 'SmoothMuscle':'red', \n", - " 'SoftTissue1':'burlywood', 'SoftTissue2':'burlywood', 'Spleen':'tan',\n", - " 'Stomach1':'darkred', 'Stomach2':'darkred', 'SubstantiaNiagra':'lightcoral',\n", - " 'Testis':'mistyrose', 'Thymus':'indianred', 'ThyroidGland':'snow',\n", - " 'Tonsil':'saddlebrown', 'UrinaryBladder':'sandybrown', 'Vagina':'mistyrose'}\n", - " col = []\n", - " color_list = []\n", - "\n", - " for val in df_1['tissue_type']:\n", - " col.append(color_dict.get(val))\n", - " df_1['groups'] = col \n", - " df_1 = df_1.sort_values('groups').reset_index() \n", - " \n", - "\n", - " figure(num=None, figsize=(20, 35))\n", - " font = {'size' : 12}\n", - "\n", - " plt.rc('font', **font)\n", - " lab_x = [i for i in range(len(df_1.index))]\n", - " y_pos = np.arange(len(lab_x))\n", - " plt.barh(y_pos, 'num_score',data=df_1, color = list(df_1['groups']))\n", - " plt.title(\"Expression Score VS Tissue Type\")\n", - " plt.xlabel(\"Expression Score\")\n", - " plt.ylabel(\"Tissue Type\")\n", - " positions = (0, 1, 2, 3)\n", - " labels = (\"Not Detected\", \"Low\", \"Medium\", \"High\")\n", - " plt.xticks(positions, labels)\n", - " plt.xticks(np.arange(0, 4, 1.0))\n", - " plt.yticks(y_pos, lab_x)\n", - " plt.yticks(lab_x, list(df_1['tissue_type']))\n", - " plt.show()\n", - "\n", - " \n", - "\n", - " '''\n", - " plt.bar(lab_x, 'num_score',data=df_1, color = list(df_1['groups']))\n", - " plt.title(\"Expression Score VS Tissue Type\")\n", - " plt.xlabel(\"Tissue Type\")\n", - " plt.ylabel(\"Expression Score\")\n", - " positions = (0, 1, 2, 3)\n", - " labels = (\"Not Detected\", \"Low\", \"Medium\", \"High\")\n", - " plt.yticks(positions, labels)\n", - " plt.yticks(np.arange(0, 4, 1.0))\n", - " plt.xticks(lab_x, list(df_1['tissue_type']), rotation=90)\n", - " plt.show()\n", - " '''" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "flCfhkksac7A" - }, - "source": [ - "A Bar Plot displaying the expression score of a specific protein, in each tissue. All tissues are color coded with respect to their location and function.
\n", - "Functionality Needed: To be able to hover over each bar and get :
\n", - "- Human Cell type\n", - "- Protein Occurence Reliability\n", - "- Protein Expression score\n", - "- Link to the node on Data Commons\n", - "- Ability to download the entire list in the form of txt or csv" - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "YF6LCprwWu24", - "outputId": "ea39c954-ea34-4306-ef06-072f3c41b5fc" - }, - "source": [ - "chart_1('bio/FGFR1_HUMAN')" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "MKnIvv9oca_j" - }, - "source": [ - "def chart_2(protein):\n", - " interactions = list(dc.get_property_values([protein], prop=\"interactingProtein\", out = False).values())[0]\n", - " confidence_score =[]\n", - " for i in range(len(interactions)):\n", - " #list(dc.get_property_values([disease_gene[i]], prop=\"associationConfidenceInterval\").values())[0][0]\n", - " p = list(dc.get_property_values([interactions[i]], prop=\"confidenceScore\").values())[0]\n", - " if len(p) == 1:\n", - " p_1 = p[0]\n", - " else:\n", - " p_1 = p[1]\n", - " q = list(dc.get_property_values([p_1], prop=\"value\").values())[0][0]\n", - " confidence_score.insert(i,q)\n", - " confidence_score = list(map(float, confidence_score))\n", - " df = pd.DataFrame(list(zip(interactions, confidence_score)),\n", - " columns =['Interacting_protein', 'Confidence_score'])\n", - " df = df.sort_values('Confidence_score', ascending = True)\n", - " figure(num=None, figsize=(8, 8))\n", - " font = {'size' : 12}\n", - "\n", - " plt.rc('font', **font)\n", - "\n", - " if len(df.index) < 30:\n", - " confidence_score = list(df['Confidence_score'])\n", - " interacting_protein = list(df['Interacting_protein'])\n", - " y_pos = np.arange(len(interacting_protein))\n", - " # Create horizontal bars\n", - " plt.barh(y_pos, confidence_score, color = 'maroon')\n", - " plt.yticks(y_pos, interacting_protein)\n", - " plt.ylabel('Interacting_protein')\n", - " plt.xlabel('Confidence Score')\n", - " \n", - " plt.show()\n", - " else:\n", - " figure(num=None, figsize=(35, 15))\n", - " font = {'family' : 'Times New Roman',\n", - " 'size' : 10}\n", - "\n", - " plt.rc('font', **font)\n", - "\n", - "\n", - " # Draw first subplot using plt.subplot\n", - " ax1 = plt.subplot(1, 2, 1)\n", - " data = df[df['Confidence_score']<0.5]\n", - " confidence_score = list(data['Confidence_score'])\n", - " interacting_protein = list(data['Interacting_protein'])\n", - " y_pos = np.arange(len(interacting_protein))\n", - " # Create horizontal bars\n", - " plt.barh(y_pos, confidence_score, color = 'maroon')\n", - " plt.yticks(y_pos, interacting_protein)\n", - " plt.ylabel('Interacting_protein')\n", - " plt.xlabel('Confidence Score')\n", - "\n", - " # Draw second subplot using plt.subplot\n", - " ax2 = plt.subplot(1, 2, 2)\n", - " data = df[df['Confidence_score']>=0.5]\n", - " confidence_score = list(data['Confidence_score'])\n", - " interacting_protein = list(data['Interacting_protein'])\n", - " y_pos = np.arange(len(interacting_protein))\n", - " # Create horizontal bars\n", - " plt.barh(y_pos, confidence_score, color = 'maroon')\n", - " plt.yticks(y_pos, interacting_protein)\n", - " plt.ylabel('Interacting_protein')\n", - " plt.xlabel('Confidence Score')\n", - " plt.show()\n", - " " - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "O59_nayvdehH" - }, - "source": [ - "A Bar Plot displaying the names of interacting proteins on the x-axis and the confidence score of interaction on the y-axis, for a specific protein.
\n", - "Functionality Needed : To be able to hover over each bar and get :
\n", - "- Confidence score\n", - "- Interacting protein names\n", - "- Interaction type\n", - "- Interaction detection method\n", - "- Link to the node on Data Commons\n", - "- Ability to download the entire list in the form of txt or csv" - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 481 - }, - "id": "sdVO5VeXc8B6", - "outputId": "7103c7e7-2ea0-4652-a8b0-39398b9f10c4" - }, - "source": [ - "chart_2('bio/P53_HUMAN')" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "findfont: Font family ['Times New Roman'] not found. Falling back to DejaVu Sans.\n" - ] - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "hsvj70Xw4PT8" - }, - "source": [ - "# Chart 3 \n", - "def chart_3(protein):\n", - " geneId = dc.get_property_values([protein], prop=\"geneID\")\n", - " geneId_hg38 = list(geneId.values())[0][1]\n", - " disease_gene = dc.get_property_values([geneId_hg38], prop=\"geneID\", out=False, value_type=\"DiseaseGeneAssociation\")\n", - " disease_gene = list(disease_gene.values())[0]\n", - " association_confidence = []\n", - " disease_name = []\n", - " for i in range(len(disease_gene)):\n", - " p = list(dc.get_property_values([disease_gene[i]], prop=\"associationConfidenceInterval\").values())[0][0]\n", - " association_confidence.insert(i, p)\n", - " try:\n", - " q = list(dc.get_property_values([disease_gene[i]], prop=\"diseaseOntologyID\").values())[0][0]\n", - " r = list(dc.get_property_values([q], prop=\"commonName\").values())[0][0]\n", - " disease_name.insert(i,r )\n", - "\n", - " except:\n", - " disease_name.insert(i,'no-name' )\n", - " pass\n", - " association_confidence = list(map(float, association_confidence)) \n", - " df = pd.DataFrame(list(zip(disease_name, association_confidence)),\n", - " columns =['disease_name', 'association_confidence'])\n", - " df = df.sort_values('association_confidence', ascending = True) \n", - " figure(num=None, figsize=(15, 20))\n", - " font = {'size': 10}\n", - "\n", - " plt.rc('font', **font)\n", - " disease_name = list(df['disease_name'])\n", - " association_confidence = list(df['association_confidence'])\n", - " y_pos = np.arange(len(disease_name))\n", - " # Create horizontal bars\n", - " plt.barh(y_pos, association_confidence, color = 'maroon')\n", - " plt.yticks(y_pos, disease_name)\n", - " plt.ylabel('Disease Names')\n", - " plt.xlabel('Association Confidence Score')\n", - " # Create names on the x-axis\n", - " #plt.yticks(y_pos, bars)\n", - " \n", - " # Show graphic\n", - " plt.show()\n", - " '''\n", - " plt.bar('disease_name', 'association_confidence', data=df, color ='maroon')\n", - " plt.title(\"Association Confidence Interval VS Disease Name\")\n", - " plt.xlabel(\"Disease Names\")\n", - " plt.ylabel(\"Association Confidence Interval\")\n", - " plt.xticks(rotation=90)\n", - " plt.show() \n", - " '''" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "W9OVvoVqgR4Y" - }, - "source": [ - "A bar plot depicting the disease associations and their corresponding confidence intervals, for a specific protein.
\n", - "Functionality needed:
\n", - "- Association confidence interval\n", - "- Association confidence score\n", - "- Association identifier\n", - "- Link to the node on Data Commons\n", - "- Ability to download the entire list in the form of txt or csv" - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "Urg264fLfPCQ", - "outputId": "5d54d88b-6681-4184-e45c-4b86aff17e7e" - }, - "source": [ - "chart_3('bio/FGFR1_HUMAN')" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "e-MkV6YE9DYR" - }, - "source": [ - "# Chart 4\n", - "def chart_4(protein):\n", - " geneId = dc.get_property_values([protein], prop=\"geneID\")\n", - " geneId_hg38 = list(geneId.values())[0][1]\n", - " disease_gene_variant = dc.get_property_values([geneId_hg38], prop=\"geneSymbol\", out=False, value_type=\"GeneticVariantGeneAssociation\")\n", - " disease_gene_variant = list(disease_gene_variant.values())[0]\n", - " rs_id = []\n", - " log2_allele = []\n", - " log2_allelic_interval = []\n", - " tissue_type = []\n", - "\n", - "\n", - " association_confidence = []\n", - " disease_name = []\n", - " for i in range(len(disease_gene_variant)):\n", - " try:\n", - " p = list(dc.get_property_values([disease_gene_variant[i]], prop=\"log2AllelicFoldChange\").values())[0][0]\n", - " q = list(dc.get_property_values([disease_gene_variant[i]], prop=\"log2AllelicFoldChangeConfidenceInterval\").values())[0][0]\n", - " r = list(dc.get_property_values([disease_gene_variant[i]], prop=\"referenceSNPClusterID\").values())[0][0]\n", - " t = list(dc.get_property_values([disease_gene_variant[i]], prop=\"associatedTissue\").values())[0][0]\n", - " log2_allele.insert(i, p)\n", - " log2_allelic_interval.insert(i, q)\n", - " rs_id.insert(i, r)\n", - " tissue_type.insert(i, t)\n", - " except:\n", - " pass\n", - " log2_allele = list(map(float, log2_allele))\n", - " df_4 = pd.DataFrame(list(zip(rs_id, log2_allele, log2_allelic_interval,\n", - " tissue_type)),\n", - " columns =['rs_id', 'log2_allele', 'log2_allelic_interval', 'tissue_type' ])\n", - "\n", - " for i in df_4.index:\n", - " p = df_4.loc[i,'log2_allelic_interval']\n", - " q = p.split(\" \")[0]\n", - " r = p.split(\" \")[1]\n", - " import re\n", - " q = q[1:]\n", - " q = float(q)\n", - " r = r[:-1]\n", - " r = float(r)\n", - " df_4.loc[i,'log2_allelic_interval_start'] = q\n", - " df_4.loc[i,'log2_allelic_interval_stop'] = r\n", - " for i in df_4.index:\n", - " df_4.loc[i,'error'] = df_4.loc[i,'log2_allelic_interval_stop'] - df_4.loc[i,'log2_allelic_interval_start']\n", - " figure(num=None, figsize=(8, 10))\n", - " font = {'size': 8}\n", - "\n", - " plt.rc('font', **font)\n", - "\n", - " # Draw first subplot using plt.subplot\n", - " plt.subplot(1, 3, 1)\n", - " plt.title('log2 Allele Confidence vs Variant ID ')\n", - " plt.errorbar('rs_id', 'log2_allele',data = df_4.loc[df_4['tissue_type'] == 'Pancreas'], yerr='error', fmt='o', color='maroon',\n", - " ecolor='lightcoral', elinewidth=3, capsize=0)\n", - " plt.yticks(np.arange(-0.5, 1.2, 0.2))\n", - " plt.xlabel('rs ID (PANCREAS)')\n", - " plt.ylabel('log2 Allele Confidence')\n", - " plt.axhline(y=0,linewidth=1, color='k')\n", - "\n", - " # Draw second subplot using plt.subplot\n", - " plt.subplot(1, 3, 2)\n", - " #plt.title('log2 Allele Confidence vs Variant ID ')\n", - " plt.errorbar('rs_id', 'log2_allele',data = df_4.loc[df_4['tissue_type'] == 'Thyroid'], yerr='error', fmt='o', color='maroon',\n", - " ecolor='mistyrose', elinewidth=3, capsize=0)\n", - " plt.yticks(np.arange(-0.5, 1.2, 0.2))\n", - " plt.xlabel('rs ID (THYROID)')\n", - " plt.ylabel('log2 Allele Confidence')\n", - " plt.axhline(y=0,linewidth=1, color='k')\n", - "\n", - " plt.subplot(1, 3, 3)\n", - " plt.errorbar('rs_id', 'log2_allele',data = df_4.loc[df_4['tissue_type'] == 'Whole Blood'], yerr='error', fmt='o', color='maroon',\n", - " ecolor='orange', elinewidth=3, capsize=0)\n", - " plt.yticks(np.arange(-0.5, 1.2, 0.2))\n", - " plt.xlabel('rs ID (WHOLE BLOOD)')\n", - " plt.ylabel('log2 Allele Confidence')\n", - " plt.axhline(y=0,linewidth=1, color='k')\n", - "\n", - " plt.show()\n" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "PQjTdsx5u5hl" - }, - "source": [ - "Three bar plots, each specifying the variants associated with a protein-coding gene and its corresponding log2 allele confidence score. The error bars are indicative of the log2 confidence interval. Each bar plot is for each tissue: Pancreas, Thyroid, Human Blood.
\n", - "Functionality Needed:
\n", - "- Gene position and gene symbol\n", - "- log2 Allelic fold change\n", - "- p value\n", - "- Reference snp ID\n", - "- Link to the data commons node\n", - "- Ability to download the entire list in the form of txt or csv" - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 653 - }, - "id": "_t3pxHcEoKBq", - "outputId": "0ce620c4-de66-458d-e076-f070c4205699" - }, - "source": [ - "chart_4('bio/P53_HUMAN')" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "findfont: Font family ['Times New Roman'] not found. Falling back to DejaVu Sans.\n", - "findfont: Font family ['Times New Roman'] not found. Falling back to DejaVu Sans.\n" - ] - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "QCdBAmOx-46c" - }, - "source": [ - "#chart 5\n", - "def chart_5(protein):\n", - " geneId = dc.get_property_values([protein], prop=\"geneID\")\n", - " geneId_hg38 = list(geneId.values())[0][1]\n", - " gene_variant = dc.get_property_values([geneId_hg38], prop=\"geneID\", out=False, value_type=\"GeneticVariant\")\n", - " gene_variant = list(gene_variant.values())[0]\n", - " variant_functional_category = []\n", - " clinical_sig = []\n", - "\n", - " for i in range(len(gene_variant)):\n", - " try:\n", - " p = list(dc.get_property_values([gene_variant[i]], prop=\"geneticVariantFunctionalCategory\").values())[0][0]\n", - " p_1 = list(dc.get_property_values([p], prop=\"name\").values())[0][0]\n", - " q = list(dc.get_property_values([gene_variant[i]], prop=\"clinicalSignificance\").values())[0][0]\n", - " q_1 = list(dc.get_property_values([q], prop=\"name\").values())[0][0]\n", - "\n", - " variant_functional_category.insert(i, p_1)\n", - " clinical_sig.insert(i, q_1)\n", - "\n", - " except:\n", - " pass\n", - " functional_category = [\"3' UTR\", \"5' UTR\", \"Coding Synonomous\", \"Frameshift\", \"Intron\", \"Missense\", \"Near Gene 3'\", \"Near Gene 5'\",\n", - " \"Nonsense\", \"Splice 3'\", \"Splice 5'\", \"Stop Loss\", \"Unknown\", \"cds Indel\", \"cds Reference\", \"ncRNA\"]\n", - " clinical_sig = ['Affects', 'Association', 'Association Not Found', 'Benign', 'Benign/Likely Benign', 'Conflicting Interpretations Of Pathogenicity', \n", - " 'Drug Response', 'Histocompatibility', 'Likely Benign', 'Likely Pathogenic', 'Not Provided', 'Other', 'Pathogenic', 'Pathogenic/Likely Pathogenic',\n", - " 'Protective', 'Risk Factor', 'Uncertain Significance', 'Unknown', 'Untested']\n", - "\n", - " df_5 = pd.DataFrame(list(zip(gene_variant, variant_functional_category, clinical_sig)),\n", - " columns =['gene_variant', 'variant_functional_category', 'clinical_significance'])\n", - " df_5_variant = pd.DataFrame(df_5.groupby(['variant_functional_category']).size())\n", - " df_5_variant['var'] = df_5_variant.index\n", - " df_5_variant['count'] = df_5_variant[0] \n", - " for val in functional_category:\n", - " if val not in df_5_variant.values:\n", - " new_row = { 'var' : val, 'count' : 0}\n", - " df_5_variant = df_5_variant.append(new_row, ignore_index=True)\n", - " df_5_clinical = pd.DataFrame(df_5.groupby(['clinical_significance']).size())\n", - " df_5_clinical['sig'] = df_5_clinical.index\n", - " df_5_clinical['count'] = df_5_clinical[0]\n", - " for val in clinical_sig:\n", - " if val not in df_5_clinical.values:\n", - " new_row = { 'sig' : val, 'count' : 0}\n", - " df_5_clinical = df_5_clinical.append(new_row, ignore_index=True)\n", - " df_5_clinical = df_5_clinical.reindex(['Pathogenic', 'Pathogenic/Likely Pathogenic', 'Likely Pathogenic', 'Conflicting Interpretations Of Pathogenicity',\n", - " 'Drug Response', 'Histocompatibility', 'Association', 'Affects', 'Protective', 'Benign', 'Benign/Likely Benign',\n", - " 'Likely Benign', 'Association Not Found', 'Other', 'Not Provided', 'Uncertain Significance', 'Unknown', 'Untested'])\n", - "\n", - " \n", - " figure(figsize=(10, 10))\n", - "\n", - " font = {'size': 12}\n", - "\n", - " plt.rc('font', **font)\n", - " my_colors = ['mistyrose', 'maroon', 'salmon', 'tomato', 'coral', 'orangered', 'sandybrown', 'peachpuff', 'peru']\n", - "\n", - " # Draw first subplot using plt.subplot\n", - " plt.subplot(2, 1, 1)\n", - " sig = list(df_5_clinical['sig'])\n", - " count = list(df_5_clinical['count'])\n", - " y_pos = np.arange(len(sig))\n", - " plt.barh(y_pos, count, color = my_colors)\n", - " plt.ylabel('clinical significance')\n", - " plt.xticks(np.arange(0, 6, 1.0))\n", - " plt.yticks(y_pos, sig)\n", - " plt.xlabel('count')\n", - " \n", - "\n", - "\n", - " # Draw second subplot using plt.subplot\n", - "\n", - " plt.subplot(2, 1, 2)\n", - " var = list(df_5_variant['var'])\n", - " count = list(df_5_variant['count'])\n", - " y_pos = np.arange(len(var))\n", - " plt.barh(y_pos, count, color = my_colors)\n", - " plt.ylabel('variant type')\n", - " plt.xticks(np.arange(0, 15, 2.0))\n", - " plt.yticks(y_pos, var)\n", - " plt.xlabel('count')\n", - " plt.show()\n", - " " - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "YD89Akz34qLp" - }, - "source": [ - "Two bar plots displaying genetic variant categories and counts for a specific protein-coding gene. The first graph is depicting the clinical significance of the variants while the second graph is depicting the variant type.\n" - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 629 - }, - "id": "lgU54Hgb1aGd", - "outputId": "6197c0d1-4538-46ed-94b5-9a77d4d1644e" - }, - "source": [ - "chart_5('bio/P53_HUMAN')" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "findfont: Font family ['Times New Roman'] not found. Falling back to DejaVu Sans.\n" - ] - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "oGXKRnDeB3dR" - }, - "source": [ - "#chart 6\n", - "def chart_6(protein):\n", - " geneId = dc.get_property_values([protein], prop=\"geneID\")\n", - " geneId_hg38 = list(geneId.values())[0][1]\n", - " chem_gene = dc.get_property_values([geneId_hg38], prop=\"geneID\", out=False, value_type=\"ChemicalCompoundGeneAssociation\")\n", - " chem_gene = list(chem_gene.values())[0]\n", - " chem_relation = []\n", - "\n", - "\n", - " for i in range(len(chem_gene)):\n", - " try:\n", - " p = list(dc.get_property_values([chem_gene[i]], prop=\"relationshipAssociationType\").values())[0][0]\n", - " q = list(dc.get_property_values([p], prop=\"name\").values())[0][0]\n", - " chem_relation.insert(i, q)\n", - "\n", - "\n", - " except:\n", - " pass\n", - "\n", - " df_6 = pd.DataFrame(list(zip(chem_gene, chem_relation)),\n", - " columns =['chem_gene', 'chem_relation'])\n", - " df_6 = pd.DataFrame(df_6.groupby(['chem_relation']).size())\n", - " df_6['var'] = df_6.index\n", - " df_6['count'] = df_6[0] \n", - " categories = ['Ambiguous', 'Associated', 'NotAssociated']\n", - " for val in categories:\n", - " if val not in df_6.values:\n", - " new_row = { 'var' : val, 'count' : 0}\n", - " df_6 = df_6.append(new_row, ignore_index=True)\n", - " figure(num=None, figsize=(10, 5))\n", - "\n", - " font = {'size' : 12}\n", - " my_colors = ['mistyrose', 'maroon', 'salmon', 'tomato', 'coral', 'orangered', 'sandybrown', 'peachpuff', 'peru']\n", - " plt.rc('font', **font)\n", - " '''\n", - " plt.subplot(2, 1, 1)\n", - " sig = list(df_5_clinical['sig'])\n", - " count = list(df_5_clinical['count'])\n", - " y_pos = np.arange(len(sig))\n", - " plt.barh(y_pos, count, color = my_colors)\n", - " plt.ylabel('clinical significance')\n", - " plt.xticks(np.arange(0, 6, 1.0))\n", - " plt.yticks(y_pos, sig)\n", - " plt.xlabel('count')\n", - " '''\n", - "\n", - " var = list(df_6['var'])\n", - " count = list(df_6['count'])\n", - " y_pos = np.arange(len(var))\n", - " plt.barh(y_pos, count, color = my_colors)\n", - " plt.ylabel('clinical significance')\n", - " plt.xticks(np.arange(0, 15, 2.0))\n", - " plt.yticks(y_pos, var)\n", - " plt.title('Count VS Relationship of chemical compound with gene')\n", - " plt.show()\n" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "DQ47IaTm8qB2" - }, - "source": [ - "A bar plot counting the various types of association relationships between the protein-coding gene and chemical compounds." - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 357 - }, - "id": "8ZyChMdF7dE_", - "outputId": "785894b2-abb2-458e-921a-e64c956aa97e" - }, - "source": [ - "chart_6(\"bio/P53_HUMAN\")" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "findfont: Font family ['Times New Roman'] not found. Falling back to DejaVu Sans.\n" - ] - }, - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - } - } - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 50, - "referenced_widgets": [ - "6fed15007df445c28c47ae4166902416", - "aa0d506dd4714fc6b3b0a664e77d0a32", - "b9a33970300a40a1a4d9fa3760122484", - "f8d32138ecda4f13b6f14a4e3e439df1", - "6fcb7afd3c874d7b86334e5744a75f6f", - "3a82d5728df34289ad478edca0ca18d1", - "d819fd501d2e406bb6cc82485447b623", - "b72247178bda43f5b4ac03d7295717a7" - ] - }, - "id": "obcogSO5u7sp", - "cellView": "form", - "outputId": "fc791634-7ecf-4b4b-863b-956fe65d4fbe" - }, - "source": [ - "#@title Input Proteins and Species\n", - "interaction_types = list(dc.get_property_values([\"InteractionTypeEnum\"], prop = \"typeOf\", out = False, limit = 500).values())[0]\n", - "detection_types = list(dc.get_property_values([\"InteractionDetectionMethodEnum\"], prop = \"typeOf\", out = False, limit = 500).values())[0]\n", - "proteins = list(dc.get_property_values([\"Protein\"], prop = \"typeOf\", out = False).values())[0]\n", - "species_results = dc.query(\"\"\"\n", - "SELECT DISTINCT ?species_name \n", - "WHERE{\n", - "?protein typeOf Protein .\n", - "?species typeOf Species .\n", - "?protein ofSpecies ?species .\n", - "?species commonName ?species_name \n", - "}\n", - "\"\"\")\n", - "species = sorted([species[\"?species_name\"] for species in species_results])\n", - "species_options = widgets.Dropdown(\n", - " options= species,\n", - " rows=5,\n", - " value= \"Human\" ,\n", - " description='Species:',\n", - " disabled=False\n", - ")\n", - "\n", - "protein_input = widgets.Text(\n", - " placeholder='ex: P53',\n", - " description='Protein:',\n", - " rows = 1,\n", - " disabled=False\n", - ")\n", - "\n", - "grid = widgets. GridspecLayout(1, 3)\n", - "grid[0, 0] = species_options\n", - "grid[0, 1] = protein_input\n", - "\n", - "\n", - "grid" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6fed15007df445c28c47ae4166902416", - "version_minor": 0, - "version_major": 2 - }, - "text/plain": [ - "GridspecLayout(children=(Dropdown(description='Species:', index=201, layout=Layout(grid_area='widget001'), opt…" - ] - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "W7_rjvRuxH46", - "cellView": "form", - "outputId": "83b9d214-fb43-4209-f8b1-b70ee55c8cb1" - }, - "source": [ - "#@title Output Charts\n", - "p = protein_input.value\n", - "s = species_options.value\n", - "s = s.upper()\n", - "protein = \"bio/\" + str(p) + \"_\" + str(s)\n", - "chart_1(protein)\n", - "chart_2(protein)\n", - "chart_3(protein)\n", - "chart_4(protein)\n", - "chart_5(protein)\n", - "chart_6(protein)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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Information on protein interactions will then be used to construct a protein interaction graph using NetworkX package" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "wax-Lhu8FXra" - }, - "source": [ - "def get_interaction_info(interactions):\n", - "\n", - " \"\"\"\n", - " Generate a pandas dataframe containing informations of protein interactions from a list of protein-protein interaction dcids\n", - " Columns: \"interaction_id\", \"interaction_score\", \"interaction_type\", \"detection_method\", \"protein_1\", \"protein_2\"\n", - " \n", - " IntactMiScore is used for protein interaction score. Missing IntactMiScore is imputed with IntactMiScore0.22 (minimum score)\n", - " \n", - " Args:\n", - " interactions: A list of ProteinProteinInteraction dcids.\n", - " \n", - " Returns:\n", - " A pandas dataframe with protein protein interactions information\n", - " \"\"\"\n", - "\n", - " interaction_scores = []\n", - " # Use interaction score type IntactMiScore\n", - " for score in list(dc.get_property_values(interactions, prop= \"confidenceScore\", out = True).values()):\n", - " if not any(score):\n", - " interaction_scores.append([\"IntactMiScore0.22\"]) #Impute missing score with minimum score \n", - " for score_type in score:\n", - " if \"IntactMiScore\" in score_type:\n", - " interaction_scores.append([score_type])\n", - " break\n", - " else:\n", - " interaction_scores.append([\"IntactMiScore0.22\"]) #Impute missing Intact score with minimum score \n", - " break\n", - " \n", - " interaction_score_map = dc.get_property_values(np.array(interaction_scores).flatten(), prop= \"value\", out = True)\n", - " interaction_score_values = [interaction_score_map[score[0]][0] for score in interaction_scores]\n", - " interaction_types = list(dc.get_property_values(interactions, prop= \"interactionType\", out = True).values())\n", - " detection_methods = list(dc.get_property_values(interactions, prop= \"interactionDetectionMethod\", out = True).values())\n", - " \n", - " \n", - " interacting_proteins = list(dc.get_property_values(interactions, prop= \"interactingProtein\", out = True).values())\n", - " interacting_proteins = [i if len(i) > 1 else [i[0], i[0]] for i in interacting_proteins ] # expand self interacting proteins\n", - " \n", - " protein_1, protein_2 = np.array(interacting_proteins).T[0], np.array(interacting_proteins).T[1]\n", - "\n", - " df_protein_interaction = pd.DataFrame([interactions, interaction_score_values, interaction_types,\\\n", - " detection_methods,protein_1, protein_2]).T\n", - " df_protein_interaction.columns = [\"interaction_id\", \"interaction_score\", \"interaction_type\",\\\n", - " \"detection_method\", \"protein_1\", \"protein_2\"]\n", - " return df_protein_interaction\n" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "arOlgAtUFnc9" - }, - "source": [ - "def filter_interaction(df_protein_interaction, filter_criteria):\n", - "\n", - " \"\"\"Filter protein interaction dataframe based on filter criteria \n", - " \n", - " Args:\n", - " df_protein_interaction: pandas DataFrame from output of get_interaction_info()\n", - " filter_criteria: {\n", - " \"minimum_interaction_score\":\n", - " \"species\":\n", - " \"detection_method\":\n", - " \"interaction_type\":\n", - " \"interaction_score\":\n", - " }\n", - " Returns:\n", - " A pandas dataframe with filterred protein-protein interactions information\n", - " \"\"\"\n", - "\n", - " filter_criteria_copy = deepcopy(filter_criteria)\n", - " df_protein_interaction_ori = deepcopy(df_protein_interaction)\n", - " df_protein_interaction = df_protein_interaction.explode(\"interaction_type\")\n", - " df_protein_interaction = df_protein_interaction.explode(\"detection_method\")\n", - "\n", - " if \"minimum_interaction_score\" in filter_criteria.keys():\n", - " df_protein_interaction = df_protein_interaction[df_protein_interaction[\"interaction_score\"].astype(float) > filter_criteria_copy[\"minimum_interaction_score\"]]\n", - " del filter_criteria_copy['minimum_interaction_score'] \n", - "\n", - " if len(df_protein_interaction) == 0:\n", - " return pd.DataFrame(columns = [\"interaction_id\", \"interaction_score\", \"interaction_type\",\\\n", - " \"detection_method\", \"protein_1\", \"protein_2\"])\n", - " \n", - "\n", - " if \"species\" in filter_criteria_copy.keys():\n", - " species_1_bool = np.char.lower(np.array(list(df_protein_interaction[\"protein_1\"].str.split(\"_\"))).T[1])\\\n", - " == filter_criteria_copy[\"species\"].lower()\n", - " species_2_bool = np.char.lower(np.array(list(df_protein_interaction[\"protein_2\"].str.split(\"_\"))).T[1])\\\n", - " == filter_criteria_copy[\"species\"].lower()\n", - " df_protein_interaction = df_protein_interaction[species_1_bool&species_2_bool]\n", - " del filter_criteria_copy['species'] \n", - " for key in filter_criteria_copy.keys():\n", - " df_protein_interaction = df_protein_interaction[df_protein_interaction[key].isin(filter_criteria[key])]\n", - " \n", - " df_filterred = df_protein_interaction_ori[df_protein_interaction_ori[\"interaction_id\"]\\\n", - " .isin(df_protein_interaction[\"interaction_id\"])]\n", - " return df_filterred" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "lOsrwjJ5Ftby" - }, - "source": [ - "def expand_protein(protein_list, filter_criteria):\n", - "\n", - " \"\"\"Get directly interacting proteins from a list of protein input and interaction information\n", - " \n", - " Args:\n", - " protein_list: a list of protein dcids\n", - " filter_criteria: {\n", - " \"minimum_interaction_score\":\n", - " \"species\":\n", - " \"detection_method\":\n", - " \"interaction_type\":\n", - " \"interaction_score\":\n", - " }\n", - " Returns:\n", - " new_protein: a list of directly interacting proteins \n", - " df_interaction_filtered: pandas DataFrame containing protein interaction information filterred by input criteria \n", - " \"\"\"\n", - "\n", - " #obtain all interactions from protein list\n", - " interactions = list(dc.get_property_values(protein_list, prop = \"interactingProtein\", out = False).values())\n", - " interactions = np.asarray((list(set([items for sublist in interactions for items in sublist]))))\n", - " if not any(interactions):\n", - " return [],pd.DataFrame(columns = [\"interaction_id\", \"interaction_score\", \"interaction_type\",\\\n", - " \"detection_method\", \"protein_1\", \"protein_2\"])\n", - " df_interaction = get_interaction_info(interactions)\n", - "\n", - " df_interaction_filtered = filter_interaction(df_interaction, filter_criteria)\n", - "\n", - "\n", - " protein_in_edges = list(df_interaction_filtered[[\"protein_1\", \"protein_2\"]].values.flatten())\n", - " old_protein = protein_list\n", - "\n", - " new_protein = list(set(protein_in_edges) - set(old_protein))\n", - "\n", - " return new_protein, df_interaction_filtered\n", - " " - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "IHxMLzQYFv4z" - }, - "source": [ - "def format_node(protein, level):\n", - "\n", - " \"\"\"Format protein dcid in to networkX Node format \n", - " \n", - " Args:\n", - " protein: protein dcid\n", - " level: interaction layer \n", - " Returns:\n", - " A tuple with networkX Node format \n", - " \"\"\"\n", - "\n", - " info = {\n", - " \"name\": protein.split(\"_\")[0].replace(\"bio/\",\"\") ,\n", - " \"level\": level\n", - " }\n", - " return (protein, info)" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "hid3QzEaF00C" - }, - "source": [ - "def format_edge(protein1, protein2, interaction_score, interaction_type, detection_method):\n", - " \"\"\"Format protein interaction info to networkX Edge format \n", - "\n", - " Args:\n", - " protein1: dcid of the first protein\n", - " protein2: dcid of the second protein\n", - " interaction_score: interaction_score\n", - " interaction_type: interaction_type\n", - " detection_method: detection_method\n", - "\n", - " Returns:\n", - " A tuple with networkX Edge format \n", - " \"\"\"\n", - " info = {\n", - " \"interaction_score\": interaction_score,\n", - " \"interaction_type\": interaction_type,\n", - " \"detection_method\": detection_method\n", - " }\n", - " return (protein1, protein2, info)" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "_vqAmDSSF2qc" - }, - "source": [ - "def expand_graph(graph, protein_to_add, df_interaction, level):\n", - "\n", - " \"\"\"Expand a graph to another interacting layer\n", - "\n", - " Args:\n", - " graph: NetworkX graph\n", - " protein_to_add: directly interacting protein of the existing protein \n", - " df_interaction: pandas DataFrame contains interaction information between existing nodes and new nodes\n", - " level: level/breadth of directly interacting proteins \n", - "\n", - " Returns:\n", - " NetworkX Graph with one new layer\n", - " \"\"\"\n", - " existing_nodes = list(graph.nodes) \n", - " protein_to_add = [protein for protein in protein_to_add if protein not in existing_nodes] \n", - "\n", - " new_nodes = []\n", - " for protein in protein_to_add:\n", - " node = format_node(protein, level)\n", - " new_nodes.append(node)\n", - " \n", - " all_nodes = existing_nodes + protein_to_add\n", - " # consider edges with current nodes only\n", - " df_interaction = df_interaction[(df_interaction[\"protein_1\"].isin(all_nodes))\\\n", - " & (df_interaction[\"protein_2\"].isin(all_nodes))]\n", - " \n", - " graph.add_nodes_from(new_nodes)\n", - "\n", - " \n", - " new_edges = [] \n", - " for i, row in df_interaction.iterrows():\n", - " edge = format_edge(row[\"protein_1\"], row[\"protein_2\"], row[\"interaction_score\"], row[\"interaction_type\"], row[\"detection_method\"])\n", - " new_edges.append(edge)\n", - " graph.add_edges_from(new_edges)\n", - "\n", - " \n", - " return graph" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "c_2CNterF5Ps" - }, - "source": [ - "def build_graph(protein_list, filter_criteira, breadth_num):\n", - " \n", - " \"\"\"Build NetworkX graph \n", - "\n", - " Args:\n", - " protein_list: list of protein dcids\n", - " filter_criteira: a dictionary with form:\n", - " {\n", - " \"minimum_interaction_score\":\n", - " \"species\":\n", - " \"detection_method\":\n", - " \"interaction_type\":\n", - " \"interaction_score\":\n", - " }\n", - " breadth_num: number of interacting layer (1: just input proteins, 2: input proteins and irectly interacting proteins)\n", - "\n", - " Returns:\n", - " NetworkX Graph\n", - " \"\"\"\n", - " \n", - " G = nx.Graph()\n", - " \n", - " initial_nodes = []\n", - " for protein in protein_list:\n", - " node = format_node(protein, 1)\n", - " initial_nodes.append(node)\n", - " G.add_nodes_from(initial_nodes)\n", - " \n", - " for breadth in range(breadth_num):\n", - " if any(protein_list):\n", - " new_protein, df_interaction = expand_protein(protein_list, filter_criteira)\n", - " G = expand_graph(G, protein_list, df_interaction, level = breadth+1)\n", - " protein_list = list(set(new_protein) - set(G.nodes))\n", - " return G" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "3Kg6Id8LF7X6" - }, - "source": [ - "def draw_graph(G):\n", - "\n", - " \"\"\"Draw NetworkX graph \n", - "\n", - " Args:\n", - " G: NetworkX Graph\n", - "\n", - " Returns:\n", - " None\n", - " \"\"\"\n", - " color_list, width_list = [], []\n", - "\n", - " color_dict = {\n", - " 1: \"maroon\",\n", - " 2: \"indianred\",\n", - " 3: \"lightcoral\",\n", - " 4: \"peachpuff\",\n", - " 5: \"mistyrose\"\n", - " }\n", - " \n", - " node_label, level_label = {},{}\n", - " for node in list(G.nodes):\n", - " color_list.append(color_dict[int(G.nodes[node][\"level\"])])\n", - " node_label[node] = G.nodes[node][\"name\"]\n", - " level_label[node] = G.nodes[node][\"level\"]\n", - " for edge in list(G.edges):\n", - " width_list.append(float(G.edges[edge][\"interaction_score\"])**2 *1.) \n", - " pos = nx.kamada_kawai_layout(G)\n", - "# pos = nx.spring_layout(G)\n", - " \n", - " all_vs = []\n", - " for k, v in pos.items():\n", - " all_vs.append(v)\n", - " xs, ys = np.array(all_vs).T[0], np.array(all_vs).T[1]\n", - " offset_x = 0.07 * (np.quantile(xs,0.75) - np.quantile(xs,0.25))\n", - " offset_y = 0.07 * (np.quantile(ys,0.75) - np.quantile(ys,0.25))\n", - "\n", - " pos_higher = {}\n", - " for k, v in pos.items():\n", - " if v[0] > np.quantile(xs,0.9):\n", - " pos_higher[k] = (v[0]-offset_x, v[1]+offset_y)\n", - " elif v[1] > np.quantile(ys,0.9):\n", - " pos_higher[k] = (v[0]+offset_x, v[1]-offset_y)\n", - " else:\n", - " pos_higher[k] = (v[0]+offset_x, v[1]+offset_y)\n", - "\n", - " options = {\n", - " \"node_color\": color_list,\n", - " \"edge_color\": \"black\",\n", - " \"width\": width_list,\n", - " \"with_labels\": False,\n", - " \"node_size\": 200\n", - " }\n", - " \n", - " nx.draw(G,pos, **options)\n", - " nx.draw_networkx_labels(G, pos_higher,node_label,font_size=10)\n", - " nx.draw_networkx_labels(G, pos,level_label,font_size=10)" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "QaHLLiaSF9Ny" - }, - "source": [ - "def format_protein_list(protein_list, uniprot_code):\n", - " \"\"\"Format protein name to protein dcid \n", - " (with species information)\"\"\"\n", - " formatted_list = []\n", - " for prot in protein_list:\n", - " formatted_list.append(\"bio/\" + prot + \"_\" + uniprot_code)\n", - " return formatted_list" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "d2FRMrgbU03Y" - }, - "source": [ - "All interaction types, detection methods, and species are queried to display as lists of options. Multiple interaction types and detection methods can be selected. " - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "NygIVMmgUzTx" - }, - "source": [ - "interaction_types = list(dc.get_property_values([\"InteractionTypeEnum\"], prop = \"typeOf\", out = False, limit = 500).values())[0]\n", - "detection_types = list(dc.get_property_values([\"InteractionDetectionMethodEnum\"], prop = \"typeOf\", out = False, limit = 500).values())[0]\n", - "query_str = \"\"\"\n", - "SELECT DISTINCT ?species_name ?species_uniprot\n", - "WHERE {\n", - "?protein typeOf Protein .\n", - "?species typeOf Species .\n", - "?protein ofSpecies ?species .\n", - "?species commonName ?species_name .\n", - "?species uniProtOrganismCode ?species_uniprot.\n", - "}\n", - "\"\"\"\n", - "result = dc.query(query_str)\n", - "df_species_uniprot = pd.DataFrame(result)\n", - "species_uniprot_dict = df_species_uniprot.set_index(\"?species_name\")\\\n", - " .to_dict()[\"?species_uniprot\"]\n", - "species = sorted(list(species_uniprot_dict.keys()))" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "cellView": "form", - "id": "7QN1-ldBF-wL", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 384, - "referenced_widgets": [ - "942afbfb7c9d4db89c4863c57adbd298", - "d1eefee51527489c8e51e61c12e758a5", - "12965abf55b74fd8a345be8eb20ffbab", - "090b498301cc42bbbf1e3e14430d0186", - "521a883258c548ef82fcb14d3d289800", - "50f51894e0e74373ad8a29d00122a6f8", - "9243b20082db4bdd947f6a788941f4ab", - "5a61e223e8864b7b9cb911e9faaf4ac5", - "d31da265ad8a4805a55714a5f1ff678c", - "71904b892962463eb922d8f8490e3dc9", - "7c525259365a4d9f9f735dfa2e9c3b2e", - "42932320b4fe49a5a72fe49855227f8b", - "a6788968ca644c859e72fddc265a97ce", - "640770ff101b4a9ea5e8610b2d58a536", - "0969dcb0dac4460c966665cecbcb6b28", - "cd0be100f5894eb2840fb0c1384e7508", - "0d6d36a254384bb7bd0d317cf36b9d5f", - "4578a618eb794dde9653f716294e8456", - "39b972e227aa4cf39a26cd1df5f4eda6", - "ea1dd6bddc2c4b8499363e917a124029", - "04375973952e41c0aacaa742ec26ecd7", - "cbd1adb04984473bad850703bd567c5c", - "9e59eb911a114684a328f98bb1a21443", - "1513b1d1a6f94fdabac3dc54f4c56ea3", - "202398a3e5e1407aa5939243f6f02c19" - ] - }, - "outputId": "0340c3e8-33db-42a8-e1e3-f36c9bd8d270" - }, - "source": [ - "#@title Input Proteins and Filters\n", - "\n", - "\n", - "\n", - "detection_method_options = widgets.SelectMultiple(\n", - " options= [\"All\"] + interaction_types,\n", - " rows=20,\n", - " value= [\"All\"] ,\n", - " description='Detection\\nMethod:',\n", - " style = {\"description_width\": \"initial\"},\n", - " disabled=False\n", - ")\n", - "interaction_type_options = widgets.SelectMultiple(\n", - " options= [\"All\"] + detection_types,\n", - " rows=20,\n", - " value= [\"All\"] ,\n", - " description='Interaction Type:',\n", - " style = {\"description_width\": \"initial\"},\n", - " disabled=False\n", - ")\n", - "species_options = widgets.Dropdown(\n", - " options= species,\n", - " rows=5,\n", - " value= \"Human\" ,\n", - " description='Species:',\n", - " disabled=False\n", - ")\n", - "\n", - "minimum_score_slider = widgets.FloatSlider(\n", - " value=0.4,\n", - " min=0,\n", - " max=1.0,\n", - " step=0.005,\n", - " description=':',\n", - " style = {\"description_width\": \"initial\"},\n", - " disabled=False,\n", - " continuous_update=False,\n", - " orientation='horizontal',\n", - " readout=True,\n", - " readout_format='.2f',\n", - ")\n", - "protein_inputs = widgets.Textarea(\n", - " placeholder='P53\\nMECOM\\n...',\n", - " description='Protein List:',\n", - " rows = 5,\n", - " disabled=False\n", - ")\n", - "breadth_input = widgets.IntText(\n", - " value=1,\n", - " description='Breadth:',\n", - " disabled=False\n", - ")\n", - "grid = widgets. GridspecLayout(4, 3)\n", - "grid[0, 0] = protein_inputs\n", - "grid[2, 0] = widgets.VBox([widgets.Label('Minimum Interaction Score:',\n", - " layout = widgets.Layout( margin = ' 0 0 0 50px ' )), \n", - " minimum_score_slider],\n", - " layout = widgets.Layout( margin = ' 0 0 0 50px ' ))\n", - "grid[:, 1] = detection_method_options\n", - "grid[:, 2] = interaction_type_options\n", - "grid[1, 0] = species_options\n", - "grid[3, 0] = breadth_input\n", - "grid" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "942afbfb7c9d4db89c4863c57adbd298", - "version_minor": 0, - "version_major": 2 - }, - "text/plain": [ - "GridspecLayout(children=(Textarea(value='', description='Protein List:', layout=Layout(grid_area='widget001'),…" - ] - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "metadata": { - "cellView": "form", - "id": "acyEIDooGLOR", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 391 - }, - "outputId": "aa6ba23f-1fa8-4008-8ff7-63c95f4339e8" - }, - "source": [ - "#@title Output Graph\n", - "\n", - "# This code is to format the input and build protein network graph\n", - "protein_input_cleaned = []\n", - "protein_input_list = protein_inputs.value.split(\"\\n\")\n", - "for p in protein_input_list:\n", - " if any(p):\n", - " protein_input_cleaned.append(p)\n", - "filter_template = {}\n", - "filter_template[\"species\"] = species_options.value\n", - "filter_template[\"minimum_interaction_score\"] = float(minimum_score_slider.value)\n", - "if \"All\" not in detection_method_options.value:\n", - " filter_template[\"detection_method\"] = list(detection_method_options.value)\n", - "if \"All\" not in interaction_type_options.value:\n", - " filter_template[\"interaction_type\"] = list(interaction_type_options.value)\n", - "\n", - "plt.figure(figsize = (8,5))\n", - "if not any(protein_input_cleaned):\n", - " raise Exception(\"Missing protein inputs\")\n", - "\n", - "protein_list = format_protein_list(protein_input_cleaned,\\\n", - " species_uniprot_dict[species_options.value])\n", - "G = build_graph(protein_list,filter_template,breadth_input.value)\n", - "draw_graph(G)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {} - } - ] - } - ] -} \ No newline at end of file diff --git a/notebooks/v2/analyzing_census_data.ipynb b/notebooks/analyzing_census_data.ipynb similarity index 100% rename from notebooks/v2/analyzing_census_data.ipynb rename to notebooks/analyzing_census_data.ipynb diff --git a/notebooks/analyzing_genomic_data.ipynb b/notebooks/analyzing_genomic_data.ipynb deleted file mode 100644 index 730da6af..00000000 --- a/notebooks/analyzing_genomic_data.ipynb +++ /dev/null @@ -1,914 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "AnalyzingGenomicDatawithBiomedicalDataCommons.ipynb", - "provenance": [], - "collapsed_sections": [], - "include_colab_link": true - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "source": [ - "Copyright 2022 Google LLC.\n", - "SPDX-License-Identifier: Apache-2.0" - ], - "metadata": { - "id": "UvegSRLoY7JA" - } - }, - { - "cell_type": "markdown", - "metadata": { - "id": "BrpyeNL6QY7u" - }, - "source": [ - "# Analyzing Genomic Data with Biomedical Data Commons\n", - "Datacommons is intended for various data science tasks. This tutorial introduces the datacommons knowledge graph and discusses two tools to help integrate its data into your data science projects: (1) the [datacommons browser](https://browser.datacommons.org/) and (2) the [Python API](https://github.com/datacommonsorg/api-python). Before getting started, we will need to install the Python API package.\n" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "qGeY05pnQSeW" - }, - "source": [ - "# Install datacommons\n", - "!pip install --upgrade --quiet datacommons" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "vvXt7uRwQgJE" - }, - "source": [ - "#What is Biomedical Data Commons?\n", - "Data Commons is an open knowledge graph of structured data. It contains statements about real world objects such as\n", - "* The genome assembly [hg38](https://browser.datacommons.org/kg?dcid=bio%2Fhg38) is a reference genome for the species *[Homo sapiens](https://browser.datacommons.org/kg?dcid=bio%2Fhs)*.\n", - "* For the [hg38](https://browser.datacommons.org/kg?dcid=bio%2Fhg38) genome assembly [chr17](https://browser.datacommons.org/kg?dcid=bio%2Fhg38_chr17) has [83,257,441 base pairs](https://browser.datacommons.org/kg?dcid=BasePairs83257441).\n", - "* [BRCA1](https://browser.datacommons.org/kg?dcid=bio/hg38_BRCA1) genomic coordinates are [chr17](https://browser.datacommons.org/kg?dcid=bio%2Fhg38_chr17):[43,044,294-43,125,483](https://browser.datacommons.org/kg?dcid=Position43044294To43125483) for genome assembly [hg38](https://browser.datacommons.org/kg?dcid=bio%2Fhg38).\n", - "\n", - "In the graph, [entities](https://en.wikipedia.org/wiki/Entity) like the genome assembly [hg38](https://browser.datacommons.org/kg?dcid=bio%2Fhg38) are represented by nodes. Every node has a type corresponding to what the node represents. For example, *[Homo sapiens](https://browser.datacommons.org/kg?dcid=bio%2Fhs)* is a [Species](https://browser.datacommons.org/kg?dcid=Species). Relations between entities are represented by edges between these nodes. For example, the statement \"The genome assembly hg38 is a reference genome for the species *Homo sapiens*.\" is represented in the graph as two nodes: \"hg38\" and \"HomoSapiens\" with an edge labeled \"[is_species](https://browser.datacommons.org/kg?dcid=is_chromosome)\" pointing from \"hg38\" to \"HomoSapiens\". Data Commons follows the [Schema.org data model](https://schema.org/docs/datamodel.html) and leverages schema.org schema to provide a common set of types and properties. To accomodate biological data this schema has been expanded to reflect the schema that has been used across biological databases created by the scientific community." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "S3GA2E_pQmet" - }, - "source": [ - "#Data Commons Browser\n", - "The Data Commons browser provides a way to explore the data in a human-readable format. It is the best way to explore what is in Data Commons. Searching in the browser for an entity like [BRACA1](https://browser.datacommons.org/kg?dcid=bio/hg38_BRCA1), takes you to a page about the entity, including properties like [refSeqID](https://browser.datacommons.org/kg?dcid=refSeqID) and [typeOfGene](https://browser.datacommons.org/kg?dcid=typeOfGene).\n", - "\n", - "An important property for all entities is the dcid. The dcid (DataCommons identifier) is a unique identifier assigned to each entity in the knowledge graph. With this identifier, you will be able to search for and query information on the given entity in ways that we will discuss later. The dcid is listed at the top of the page next to \"About: \" and also in the list of properties." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "wKXZNB9bQowR" - }, - "source": [ - "# Python API\n", - "\n", - "The [Python API](https://github.com/datacommonsorg/api-python) provides functions for users to extract structured information from Data Commons programmatically and view them in different formats such as Python `dict`'s and [Pandas](https://pandas.pydata.org/) DataFrames. DataFrames allow access to all the data processing, analytical and visualization tools provided by packages such as Pandas, NumPy, SciPy, and Matplotlib. For more information check out the [documentation](https://datacommons.readthedocs.io/en/latest/modules.html) on the Python API's modules.\n", - "\n", - "Every notebook begins by loading the datacommons library as follows:" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "49VGt66oQjeq" - }, - "source": [ - "# Import Data Commons\n", - "import datacommons as dc\n", - "\n", - "# Import other required libraries\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.patches as mpatches\n", - "import pandas as pd\n", - "import requests\n", - "import json" - ], - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "LRntKMDWQ1Ml" - }, - "source": [ - "##Example: Identify the Genome Assemblies Supported by Biomedical Data Commons\n", - "For this exercise we will identify the genome assemblies and their related species that are currently supported by Biomedical Data Commons. We will start by looking up the dcid for '[GenomeAssembly](https://browser.datacommons.org/kg?dcid=GenomeAssembly)'.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "WGEx_kC5Q2Oz" - }, - "source": [ - "## Using get_property_value to Access Node Properties\n", - "Our first task for this tutorial will be to extract the genome assemblies from Data Commons using the Python API and view it in a Pandas DataFrame. For all properties, one can use [**`get_property_values`**](https://datacommons.readthedocs.io/en/latest/_autosummary/datacommons_core/datacommons.core.get_property_values.html) to get the associated values. Let's look up the dcid of [GenomeAssembly](https://browser.datacommons.org/kg?dcid=GenomeAssembly). We would then like to initialize our Pandas dataframe for the dcid bio/GenomeAssembly.\n", - "\n", - "For all properties, one can use `get_property_values` to get the associated values. We would like to know the instances of \"GenomeAssembly\" by getting the the typeOf instances that are oriented towards the \"GenomeAssembly\" identified by \"bio/GenomeAssembly\". `get_property_values` accepts the following parameters:\n", - "\n", - "\n", - "* **`dcids`** - A list of dcids to get property values for.\n", - "* **`prop`** - The property to get property values for.\n", - "* **`out`**`[=True]` - An optional flag that indicates the property is oriented away from the given nodes if true.\n", - "* **`value_type`**`[=None]` - An optional parameter which filters property values by the given type.\n", - "* **`limit`**`[=100]` - An optional parameter which limits the total number of property values returned aggregated over all given nodes.\n", - "\n", - "When the dcids are given as a Pandas Series, the returned list of property values is a Pandas Series where the i-th entry corresponds to property values associated with the i-th given dcid. Some properties, like containedInPlace, may have many property values. Consequently, the cells of the returned series will always contain a list of property values. Let's take a look:" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "wKxlsd5CQ6dJ", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 36 - }, - "outputId": "349f1b0e-0dda-48b6-876b-25f9009a2395" - }, - "source": [ - "# Call get_property_values. The return value is a dict keyed by 'GenomeAssembly'.\n", - "genomeAssembly_dcids = dc.get_property_values(['GenomeAssembly'], 'typeOf', out=False)['GenomeAssembly']\n", - "# Display the frame\n", - "print(genomeAssembly_dcids)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "['bio/ce10', 'bio/ce9', 'bio/danRer10', 'bio/danRer11', 'bio/dm3', 'bio/dm6', 'bio/galGal5', 'bio/galGal6', 'bio/hg19', 'bio/hg38', 'bio/mm10', 'bio/mm9', 'bio/sacCer3', 'bio/xenLae2']\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "s9etKR8DQ84d" - }, - "source": [ - "## Example: List All Genome Assemblies in Human Readable Format\n", - "Let's continue learning about the genome assemblies supported by Biomedical Data Commons. We are next going to find the names and species of the genome assemblies that are associated with the list of dcids of genome assemblies that we found. We are going to display the information in a human readable table." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "Tvl9YAzJQ-z7", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 302 - }, - "outputId": "8e06043a-f323-4d7d-da71-1cf10d021fe0" - }, - "source": [ - "# Intialize the Data Frame\n", - "df_genomeAssemblies = pd.DataFrame()\n", - "\n", - "# Add genome assemblies name and dcid\n", - "df_genomeAssemblies['name'] = pd.Series(dc.get_property_values(genomeAssembly_dcids, 'name'))\n", - "df_genomeAssemblies.reset_index(level=0, inplace=True)\n", - "df_genomeAssemblies = df_genomeAssemblies.rename(columns={\"index\": \"dcid\"}).explode('name')\n", - "\n", - "# Add Species dcid\n", - "df_genomeAssemblies['species_dcid'] = df_genomeAssemblies['dcid'].map(\n", - " dc.get_property_values(df_genomeAssemblies['dcid'], 'ofSpecies'))\n", - "df_genomeAssemblies = df_genomeAssemblies.explode('species_dcid')\n", - "\n", - "# Add Species name\n", - "df_genomeAssemblies['species_name'] = df_genomeAssemblies['species_dcid'].map(\n", - " dc.get_property_values(df_genomeAssemblies['species_dcid'], 'name'))\n", - "df_genomeAssemblies = df_genomeAssemblies.explode('species_name')\n", - "\n", - "print(df_genomeAssemblies)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - " dcid name species_dcid species_name\n", - "0 bio/ce10 ce10 bio/ce CaenorhabditisElegans\n", - "1 bio/ce9 ce9 bio/ce CaenorhabditisElegans\n", - "2 bio/danRer10 danRer10 bio/danRer DanioRerio\n", - "3 bio/danRer11 danRer11 bio/danRer DanioRerio\n", - "4 bio/dm3 dm3 bio/dm DrosophilaMelanogaster\n", - "5 bio/dm6 dm6 bio/dm DrosophilaMelanogaster\n", - "6 bio/galGal5 galGal5 bio/galGal GallusGallus\n", - "7 bio/galGal6 galGal6 bio/galGal GallusGallus\n", - "8 bio/hg19 hg19 bio/hs HomoSapiens\n", - "9 bio/hg38 hg38 bio/hs HomoSapiens\n", - "10 bio/mm10 mm10 bio/mm MusMusculus\n", - "11 bio/mm9 mm9 bio/mm MusMusculus\n", - "12 bio/sacCer3 sacCer3 bio/sacCer SaccharomycesCerevisiae\n", - "13 bio/xenLae2 xenLae2 bio/xenLae XenopusLaevis\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "vXeKzZxlRBc8" - }, - "source": [ - "Congratulations! You've found the basic information on all the genome assemblies and species currently supported by Biomedical Data Commons. As you can see we currently support data from 8 model organisms across 14 different genome assemblies." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "W4_hSQvJREsA" - }, - "source": [ - "# Example: Analyze Genetic Variants within RUNX1\n", - "For this exercise, we will be analyzing genetic variants within the gene RUNX1. We will start by identifying the genetic variants within the gene region and then limit our list to those within the coding region of BRCA1 and then to those with known clinical significance. First, let's start by looking up the dcid for '[RUNX1](https://browser.datacommons.org/kg?dcid=bio/hg38_RUNX1)'. \n", - "\n", - "Note that 'Gene' defines the Data Commons type. Let's start by using [**`get_property_labels`**](https://datacommons.readthedocs.io/en/latest/_autosummary/datacommons_core/datacommons.core.get_property_labels.html) to identify all the properties associated with RUNX1. `get_property_labels` accepts the following parameters:\n", - "- **`dcids`** `[list of str]` – A list of nodes identified by their dcids.\n", - "- **`out`** `[bool, optional]` – Whether or not the property points away from the given list of nodes.\n", - "\n", - "The output of `get_property_labels` is a dict mapping dcids to lists of property labels. If out is True, then property labels correspond to edges directed away from given nodes. Otherwise, they correspond to edges directed towards the given nodes." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "IHiMmiBERG3B", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 397 - }, - "outputId": "37911039-8999-4656-bbec-d6d100ba5796" - }, - "source": [ - "# Call get_property_labels\n", - "dc.get_property_labels(['bio/hg38_RUNX1'])" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "{'bio/hg38_RUNX1': ['description',\n", - " 'fullName',\n", - " 'geneSymbol',\n", - " 'genomicCoordinates',\n", - " 'hasRNATranscript',\n", - " 'inChromosome',\n", - " 'inGenomeAssembly',\n", - " 'mRNA',\n", - " 'mapLocation',\n", - " 'modificationDate',\n", - " 'name',\n", - " 'ncbiGeneID',\n", - " 'ncbiTaxonID',\n", - " 'nomenclatureStatus',\n", - " 'ofSpecies',\n", - " 'provenance',\n", - " 'refSeqID',\n", - " 'strandOrientation',\n", - " 'typeOf',\n", - " 'typeOfGene']}" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 5 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "_CXvFjSJRI4_" - }, - "source": [ - "### Identify RUNX1 Genomic Coordinates\n", - "Great, now we see the type of information known about RUNX1. To identify the genetic variants within the gene region we need to know what the chromosome and ther genomic coordinates of RUNX1. Let's grab that information using `get_property_values`." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "d75k6KVhRMzp", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 55 - }, - "outputId": "23135fce-93d6-4b27-97d7-52b411c89fc3" - }, - "source": [ - "# Initialize the Data Frame\n", - "df_RUNX1 = pd.DataFrame({'gene': ['bio/hg38_RUNX1']})\n", - "\n", - "# Grab the chromosome and genomic coordinates using get_property_values\n", - "df_RUNX1['chromosome'] = df_RUNX1['gene'].map(dc.get_property_values(df_RUNX1['gene'], 'inChromosome'))\n", - "df_RUNX1['genomicCoordinates'] = df_RUNX1['gene'].map(dc.get_property_values(df_RUNX1['gene'], 'genomicCoordinates'))\n", - "\n", - "# display the genomic coordinates\n", - "print(df_RUNX1)\n", - "\n", - "# define start and stop of RUNX1\n", - "start, stop = df_RUNX1['genomicCoordinates'][0][0].strip('Position').split('To')\n", - "start = int(start)\n", - "stop = int(stop)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - " gene chromosome genomicCoordinates\n", - "0 bio/hg38_RUNX1 [bio/hg38_chr21] [Position34787800To35049344]\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kJoGt1wrRPHu" - }, - "source": [ - "## Find All The Genetic Variants Within RUNX1\n", - "We found the coordinates of RUNX1 in the hg38 genome: chr21:34787800-35049344. Now that we know this let's find all the genetic variants of class [GeneticVariant](https://browser.datacommons.org/kg?dcid=GeneticVariant) that occur in the region. But first let's establish the information that we know on genetic variants using `get_property_values`.\n" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "ozoN1sE6RROW", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 56 - }, - "outputId": "87898f5a-29f7-4358-a5c3-027850c7ea74" - }, - "source": [ - "# Identify all the properties of genetic variants\n", - "print(dc.get_property_values(['GeneticVariant'], 'domainIncludes', value_type='Property', out=False))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "{'GeneticVariant': ['alleleOrigin', 'alleleType', 'averageHeterozygosity', 'averageHeterozygositySE', 'clinVarAlleleID', 'clinVarFilterStatus', 'clinVarID', 'clinVarQualityScore', 'clinVarReviewStatus', 'clinicalSignificance', 'clinicalSignificanceConflicting', 'clinicalSignificanceType', 'clinicalSource', 'dbSNPBuildID', 'dbVarID', 'diseaseDescription', 'diseaseName', 'experimentalFactorOntologyID', 'geneID', 'geneReviewsID', 'geneSymbol', 'geneticTestingRegistryID', 'geneticVariantAlignmentQuality', 'geneticVariantAttribute', 'geneticVariantClass', 'geneticVariantExceptions', 'geneticVariantFunctionalCategory', 'geneticVariantImpercise', 'geneticVariantLength', 'geneticVariantLocType', 'geneticVariantSubmitterCount', 'geneticVariantValidationStatus', 'geneticsHomeReferenceID', 'genomicPosition', 'hg19GenomicLocation', 'hg19GenomicPosition', 'hg38GenomicLocation', 'hg38GenomicPosition', 'humanGenomeVariationSocietyNomenclature', 'humanPhenotypeOntologyID', 'medGenID', 'medicalGeneticSummariesID', 'medicalSubjectHeadingID', 'mm10GenomicLocation', 'mm9GenomicLocation', 'molecularType', 'mondoID', 'ncbiGeneID', 'numberOfAllelesWithFreq', 'observedAllele', 'omimID', 'orphaNumber', 'pharmGKBID', 'referenceAlleleNCBI', 'referenceAlleleUCSC', 'referenceSNPClusterID', 'sequenceOntologyID', 'snomedCT', 'submitter', 'suspectReasonCode', 'translocationToChromosome', 'variationEndCI', 'variationPositionCI', 'variationType']}\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "AiMokiMfRTe4" - }, - "source": [ - "### Using SPARQL and get_property_values to find genetic variants in RUNX1\n", - "Like genes, genetic variants also point to the chromosome on which they reside. Their positions on the chromosome is specified by hg38GenomicPosition. Using [**`query`**](https://datacommons.readthedocs.io/en/latest/_autosummary/datacommons.query.html) we will identify the dcids of all genetic variants on chr21. `query` accepts the following parameter\n", - "- **`query`** `[query_string[, select]]` – Returns the results of executing a SPARQL query on the Data Commons graph.\n", - "\n", - "`query` parameter is a SPARQL query that quickly searches and returns the data that matches the query on multiple parameters. There is no limit to the number of values that can be returned by a SPARQL query. In our query here we will be specifying that we want all genetic variants on chr21. Then we will format all the returned genetic variant dcids into a list and use `get_property_values` again to filter for genetic variants whose hg38GenomicPosition is within RUNX1. " - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "4rFcLP0rRVz5", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 207 - }, - "outputId": "c2f6f4e5-6bd9-4ef1-aea3-53a9525d11ae" - }, - "source": [ - "# Query for genetic variants associated with RUNX1\n", - "query = '''\n", - "SELECT ?gv ?p\n", - "WHERE { \n", - " ?chr dcid \"bio/hg38_chr21\" . \n", - " ?gv inChromosome ?chr .\n", - " ?gv typeOf GeneticVariant .\n", - " ?gv hg38GenomicPosition ?p\n", - "}\n", - "'''\n", - "print(query)\n", - "rows = dc.query(query)\n", - "dcids = set()\n", - "for row in rows:\n", - " dcids.add(row['?gv'])\n", - "dcids = list(dcids)\n", - "print(len(dcids))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "\n", - "SELECT ?gv ?p\n", - "WHERE { \n", - " ?chr dcid \"bio/hg38_chr21\" . \n", - " ?gv inChromosome ?chr .\n", - " ?gv typeOf GeneticVariant .\n", - " ?gv hg38GenomicPosition ?p\n", - "}\n", - "\n", - "8028\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "Zp3uhwfJRYcA", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 55 - }, - "outputId": "f5effb12-eacc-4182-c570-a0d930c44cbe" - }, - "source": [ - "# filter all genetic variants for the ones within RUNX1\n", - "RUNX1_geneticVariants = []\n", - "gen_positions = dc.get_property_values(dcids, 'hg38GenomicPosition')\n", - "data = pd.DataFrame(gen_positions).transpose()\n", - "data.reset_index(level=0, inplace=True)\n", - "data = data.rename(columns={\"index\": \"dcid\", 0: \"position\"})\n", - "data['position'] = pd.to_numeric(data['position'])\n", - "data = data[data['position'] >= start]\n", - "data = data[data['position'] < stop]\n", - "RUNX1_geneticVariants = list(set(data['dcid']))\n", - "\n", - "# print the first few genetic variants\n", - "print(RUNX1_geneticVariants[:5])\n", - "\n", - "# check how many genetic variants are in RUNX1\n", - "print(len(RUNX1_geneticVariants))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "['bio/rs1569084170', 'bio/643883', 'bio/rs1569002337', 'bio/839054', 'bio/rs150481777']\n", - "504\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "0Zb9dsK_RfMD" - }, - "source": [ - "## Identify Which Genetic Variants Are In Coding Regions\n", - "We've identified 360 genetic varaints within RUNX1. However, these can be in introns or exons. Let's further restrict genetic variant list to ones in the coding region of RUNX1. To do this we need to identify the positions of the exons of RUNX1. We know that RUNX1 has a property called rnaTranscript. Let's use `get_property_values` to find out more information on the RUNX1 transcript." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "rbJMK_pbRf2Z", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 93 - }, - "outputId": "9b274fb7-0b75-4508-e980-4e4ce3b000c5" - }, - "source": [ - "# Get property values for rnaTranscript of RUNX1\n", - "df_RUNX1['rnaTranscript'] = df_RUNX1['gene'].map(dc.get_property_values(df_RUNX1['gene'], 'hasRNATranscript'))\n", - "print(df_RUNX1)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - " gene ... rnaTranscript\n", - "0 bio/hg38_RUNX1 ... [bio/hg38_ENST00000300305.7, bio/hg38_ENST0000...\n", - "\n", - "[1 rows x 4 columns]\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "QmXRJpriRift" - }, - "source": [ - "### Identify the properties of RNATranscripts\n", - "There are several dcids associated with this property which are pointing to nodes of class [RNATranscript](https://browser.datacommons.org/kg?dcid=RNATranscript). Let's verify that this is indeed the case and then check the properties of RNATrancript using `get_property_values`." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "Cbwu_Et1Rk3C", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 150 - }, - "outputId": "64b4424a-ae33-4e40-d8a7-83bb012150a1" - }, - "source": [ - "# Specify an rnaTranscript associated with RUNX1\n", - "RUNX1_transcript = df_RUNX1.iloc[0]['rnaTranscript'][0]\n", - "\n", - "# Check what type the rnaTranscript is\n", - "print(dc.get_property_values([RUNX1_transcript], 'typeOf'))\n", - "\n", - "# Identify properties of RNATranscript\n", - "dict_temp = dc.get_property_values(['RNATranscript'], 'domainIncludes', value_type='Property', out=False)\n", - "for prop in dict_temp['RNATranscript']:\n", - " print(prop)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "{'bio/hg38_ENST00000300305.7': ['RNATranscript']}\n", - "codingCoordinates\n", - "exonCoordinates\n", - "exonFrame\n", - "makesProtein\n", - "refSeqID\n", - "transcriptionCoordinates\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "rZXoXHFzRm7Q" - }, - "source": [ - "### Explore the difference between codingCoordinates and exonCoordinates\n", - "There are two properties that may be useful for us in identifying which genetic variants are in the coding region of RUNX1. Let's figure out which one that we'd like to use moving forward by grabbing the values associated with both these properties using `get_property_values`." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "OSH4nzL7RpEy", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 264 - }, - "outputId": "2e49a555-4fc6-4138-c19e-55b883d50468" - }, - "source": [ - "# Get the values for codingCoordinates and exonCoordiantes\n", - "temp_dict = dc.get_property_values([RUNX1_transcript], 'codingCoordinates')\n", - "print('Coding Coordinate Values:')\n", - "for value in temp_dict[RUNX1_transcript]:\n", - " print(value)\n", - "print('\\n')\n", - "temp_dict = dc.get_property_values([RUNX1_transcript], 'exonCoordinates')\n", - "print('Exon Coordinate Values:')\n", - "for value in temp_dict[RUNX1_transcript]:\n", - " print(value)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "Coding Coordinate Values:\n", - "Position34792134To35048899\n", - "\n", - "\n", - "Exon Coordinate Values:\n", - "Position34787800To34792610\n", - "Position34799300To34799462\n", - "Position34834409To34834601\n", - "Position34859473To34859578\n", - "Position34880556To34880713\n", - "Position34886842To34887096\n", - "Position34892924To34892963\n", - "Position35048841To35049344\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "BqtiSfKFRrIP" - }, - "source": [ - "### Find the exon coordinates reported for all RNA transcripts of RUNX1\n", - "From the values of codingCoordinates and exonCoordinates we observe that coding coordinates contains the range of base pairs spanning the entire coding region of RUNX1 including introns. Whereas exonCoordinates reports the genomic coordinates of all exons of RUNX1. We want to find all genetic variants in exons of RUNX1, so going forward we want to grab the exonCoordinates of transcripts. There are multiple RNA transcripts reported for RUNX1. Let's make a unique list of all exonCoordinates recorded for RUNX1 using `get_property_values`." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "OHd3PtgLRtkv", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 55 - }, - "outputId": "9a927890-275d-4ee3-b53b-4f2c971ce453" - }, - "source": [ - "# Initiate an empty set\n", - "RUNX1_exonCoordinates = set()\n", - "\n", - "# Using get_property_values get all the exon coordinates for all rnaTranscripts\n", - "for rnaTranscript_dcid in df_RUNX1['rnaTranscript'][0]:\n", - " temp_dict = dc.get_property_values([rnaTranscript_dcid], 'exonCoordinates')\n", - " for item in temp_dict[rnaTranscript_dcid]:\n", - " RUNX1_exonCoordinates.add(item)\n", - "\n", - "# check the firs few exons\n", - "RUNX1_exonCoordinates = list(RUNX1_exonCoordinates)\n", - "print(RUNX1_exonCoordinates[:5])\n", - "\n", - "# check how many unique exon coordinates have been reported for RUNX1\n", - "print(len(RUNX1_exonCoordinates))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "['Position35049167To35049298', 'Position34791754To34792610', 'Position35988129To35988171', 'Position35984571To35984830', 'Position34859473To34859578']\n", - "41\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "4E26lXFDRvYe" - }, - "source": [ - "### Identify the genetic variants in the exon coding regions\n", - "Now that we know all the possible reported exon coordinates for RUNX1 we can identify which genetic variants are in exons. Note that RUNX1 has 4 - 9 variants depending on the isoform. Many of these exon coordinates from transcripts of different isoforms are overlapping with each other, but not exact resulting in 41 unique coordinate ranges to be observed. We are interested in genetic variants within any reported exon coordinates in this example and will therefore use them all for our next filtering step. For filtering by overlap in position please remember that the range of the coordinates is [) in which the first number, but not the last number is considered as inside of the range." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "b5i3FNxxRyge", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 36 - }, - "outputId": "125d623a-3a4e-4e56-fe91-0d0ae4a9c10a" - }, - "source": [ - "# initialize empty list for storing genetic variants in RUNX1 exons\n", - "RUNX1_exon_geneticVariants = []\n", - "\n", - "# for each genetic variant identify their hg38GenomicPosition and check if it's in an exon\n", - "for geneticVariant_dcid in RUNX1_geneticVariants:\n", - " position = int(dc.get_property_values([geneticVariant_dcid], 'hg38GenomicPosition')[geneticVariant_dcid][0])\n", - " for exonCoordinates in RUNX1_exonCoordinates:\n", - " start, stop = exonCoordinates.strip('Position').split('To')\n", - " start, stop = int(start), int(stop)\n", - " # filter for variants within RUNX1 exons\n", - " if position >= start and position < stop:\n", - " RUNX1_exon_geneticVariants.append(geneticVariant_dcid)\n", - " break\n", - "RUNX1_exon_geneticVariants = list(set(RUNX1_exon_geneticVariants))\n", - "\n", - "# check how many of the genetic variants are in exons\n", - "print(len(RUNX1_exon_geneticVariants))" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "474\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "6LPPL03eR0ft" - }, - "source": [ - "### Filter genetic variants for ones that have been clinically studied\n", - "Great! We've identified 345 genetic variants in exons that are worth further consideration. Let's narrow our candidate list further by identifying genetic variants with clinical data associated with them (reported in ClinVar). We can do this by checking if the genetic variant has the property `clinVarID` using `get_property_values`. For ones that have been clinically reported we are going to grab the following additional clinical information for the genetic variant: `diseaseName`, `clinicalSignificance`, and `clinVarReviewStatus`." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "uGmUfs8TR2Fb", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 188 - }, - "outputId": "ef66e1f5-33a9-431d-80b9-9d0e10d759a3" - }, - "source": [ - "# initialize Empty Data Frame\n", - "column_names = ['name', 'clinVarAlleleID', 'diseaseName', 'clinicalSignificance', 'clinVarReviewStatus', 'dcid']\n", - "df_RUNX1_genVar_clinical = pd.DataFrame(columns=column_names)\n", - "\n", - "for geneticVariant_dcid in RUNX1_exon_geneticVariants:\n", - " clinVarID = dc.get_property_values([geneticVariant_dcid], 'clinVarAlleleID')[geneticVariant_dcid][0]\n", - " if clinVarID.isdigit():\n", - " name = geneticVariant_dcid.strip('bio/')\n", - " diseaseName = dc.get_property_values( [geneticVariant_dcid], 'diseaseName')[geneticVariant_dcid][0]\n", - " clinicalSignificance = dc.get_property_values( [geneticVariant_dcid], 'clinicalSignificance')[geneticVariant_dcid][0]\n", - " clinVarReviewStatus = dc.get_property_values( [geneticVariant_dcid], 'clinVarReviewStatus')[geneticVariant_dcid][0]\n", - " df_RUNX1_genVar_clinical = df_RUNX1_genVar_clinical.append({'name': name, 'clinVarAlleleID': clinVarID, 'diseaseName': diseaseName, \\\n", - " 'clinicalSignificance': clinicalSignificance, 'clinVarReviewStatus': clinVarReviewStatus, \\\n", - " 'dcid': geneticVariant_dcid}, ignore_index=True)\n", - "\n", - "# visualize the head of the dataframe containing the clinical info\n", - "print(df_RUNX1_genVar_clinical.head())\n", - "\n", - "# see how many clinical genetic variants in RUNX1\n", - "print(df_RUNX1_genVar_clinical.shape[0])" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - " name ... dcid\n", - "0 rs1569084170 ... bio/rs1569084170\n", - "1 643883 ... bio/643883\n", - "2 rs1569002337 ... bio/rs1569002337\n", - "3 839054 ... bio/839054\n", - "4 rs150481777 ... bio/rs150481777\n", - "\n", - "[5 rows x 6 columns]\n", - "474\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "4m57MS1gR4Wp" - }, - "source": [ - "## Filter For Pathogenic Genetic Variants\n", - "There are 345 genetic variants in the exons of RUNX1 that have recorded clinical information on them. Filter out the ones that are benign to establish our final candidate list of genetic variants that effect the function of RUNX1. We'll do this by filtering our pandas dataframe with the clinical information on the genetic variants." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "PNoAw2XjR6M5", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 55 - }, - "outputId": "2ddae2f0-5b5c-4655-ec85-fbe0d8b775be" - }, - "source": [ - "# identify the clinical significance types for the genetic variants\n", - "print(df_RUNX1_genVar_clinical.clinicalSignificance.unique())" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "['ClinSigPathogenic' 'ClinSigUncertain' 'ClinSigBenign'\n", - " 'ClinSigConflictingPathogenicity']\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "xpmj5i3dR8sb", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 549 - }, - "outputId": "953deea3-fea1-4f84-b4a5-0653010abe74" - }, - "source": [ - "# filter genetic variants for those with pathogenicity\n", - "clinSig = ['ClinSigPathogenic']\n", - "df_final_geneticVariants = df_RUNX1_genVar_clinical[df_RUNX1_genVar_clinical.clinicalSignificance.isin(clinSig)]\n", - "\n", - "# check how many genetic variants made the final cut\n", - "print(df_final_geneticVariants.shape[0])\n", - "\n", - "# identify the diseases associated with these pathogenic variants\n", - "print(df_final_geneticVariants.diseaseName.unique())\n", - "\n", - "# print the final genetic variant dataframe\n", - "print(df_final_geneticVariants)" - ], - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "text": [ - "21\n", - "['not provided'\n", - " 'Familial platelet disorder with associated myeloid malignancy'\n", - " 'Acute myeloid leukemia']\n", - " name ... dcid\n", - "0 rs1569084170 ... bio/rs1569084170\n", - "26 871175 ... bio/871175\n", - "64 rs1555889984 ... bio/rs1555889984\n", - "65 rs1569084082 ... bio/rs1569084082\n", - "90 rs587776811 ... bio/rs587776811\n", - "95 rs74315451 ... bio/rs74315451\n", - "129 rs1569008655 ... bio/rs1569008655\n", - "143 rs1569084530 ... bio/rs1569084530\n", - "183 rs1555899813 ... bio/rs1555899813\n", - "192 rs74315450 ... bio/rs74315450\n", - "205 rs1060499616 ... bio/rs1060499616\n", - "207 rs121912498 ... bio/rs121912498\n", - "240 840868 ... bio/840868\n", - "266 rs121912499 ... bio/rs121912499\n", - "321 647118 ... bio/647118\n", - "326 rs1057519748 ... bio/rs1057519748\n", - "377 rs1569061762 ... bio/rs1569061762\n", - "394 rs1569061831 ... bio/rs1569061831\n", - "408 rs1569061768 ... bio/rs1569061768\n", - "444 rs1555884790 ... bio/rs1555884790\n", - "463 869209 ... bio/869209\n", - "\n", - "[21 rows x 6 columns]\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "KF3dr_kAR8Xk" - }, - "source": [ - "##Conclusion of RUNX1 Analysis\n", - "In this exercise we were able to filter millions of genetic variants to identify a handful that meet our specific parameters. To do this we used multiple datasets from UCSC Genome Browser, NCBI/gene, and ClinVar all in a single python notebook. We found that there are 16 genetic variants in exons of RUNX1, which have been reported to be pathogenic by clinical data. We also learned that these pathogenic variants are associated with Familial platelet disorder with associated myeloid malignancy. Such analyses can preformed using any gene and is a way to easily identify candidate genetic variants of interest. The synthesis of data of different types acorss multiple databases enables easy complex analyses all in a single python notebook." - ] - } - ] -} \ No newline at end of file diff --git a/notebooks/v2/analyzing_income_distribution.ipynb b/notebooks/analyzing_income_distribution.ipynb similarity index 100% rename from notebooks/v2/analyzing_income_distribution.ipynb rename to notebooks/analyzing_income_distribution.ipynb diff --git a/notebooks/v2/analyzing_obesity_prevalence.ipynb b/notebooks/analyzing_obesity_prevalence.ipynb similarity index 100% rename from notebooks/v2/analyzing_obesity_prevalence.ipynb rename to notebooks/analyzing_obesity_prevalence.ipynb diff --git a/notebooks/v2/intro_data_science/Classification_and_Model_Evaluation.ipynb b/notebooks/intro_data_science/Classification_and_Model_Evaluation.ipynb similarity index 100% rename from notebooks/v2/intro_data_science/Classification_and_Model_Evaluation.ipynb rename to notebooks/intro_data_science/Classification_and_Model_Evaluation.ipynb diff --git a/notebooks/v2/intro_data_science/Data_Commons_For_Data_Science_Tutorial.ipynb b/notebooks/intro_data_science/Data_Commons_For_Data_Science_Tutorial.ipynb similarity index 100% rename from notebooks/v2/intro_data_science/Data_Commons_For_Data_Science_Tutorial.ipynb rename to notebooks/intro_data_science/Data_Commons_For_Data_Science_Tutorial.ipynb diff --git a/notebooks/v2/intro_data_science/Feature_Engineering.ipynb b/notebooks/intro_data_science/Feature_Engineering.ipynb similarity index 100% rename from notebooks/v2/intro_data_science/Feature_Engineering.ipynb rename to notebooks/intro_data_science/Feature_Engineering.ipynb diff --git a/notebooks/v2/intro_data_science/Introduction_to_Clustering.ipynb b/notebooks/intro_data_science/Introduction_to_Clustering.ipynb similarity index 100% rename from notebooks/v2/intro_data_science/Introduction_to_Clustering.ipynb rename to notebooks/intro_data_science/Introduction_to_Clustering.ipynb diff --git a/notebooks/intro_data_science/README.md b/notebooks/intro_data_science/README.md deleted file mode 100644 index 29504c40..00000000 --- a/notebooks/intro_data_science/README.md +++ /dev/null @@ -1 +0,0 @@ -All notebooks have been updated to use the V2 Python APIs and are found in the `v2/intro_data_science` directory. \ No newline at end of file diff --git a/notebooks/v2/intro_data_science/Regression_Basics_and_Prediction.ipynb b/notebooks/intro_data_science/Regression_Basics_and_Prediction.ipynb similarity index 100% rename from notebooks/v2/intro_data_science/Regression_Basics_and_Prediction.ipynb rename to notebooks/intro_data_science/Regression_Basics_and_Prediction.ipynb diff --git a/notebooks/v2/intro_data_science/Regression_Evaluation_and_Interpretation.ipynb b/notebooks/intro_data_science/Regression_Evaluation_and_Interpretation.ipynb similarity index 100% rename from notebooks/v2/intro_data_science/Regression_Evaluation_and_Interpretation.ipynb rename to notebooks/intro_data_science/Regression_Evaluation_and_Interpretation.ipynb From 3e2a6a992195d71b1f077b0b78dc26218166f835 Mon Sep 17 00:00:00 2001 From: Natalie Diaz Date: Fri, 23 Jan 2026 09:45:31 -0800 Subject: [PATCH 2/3] readme --- notebooks/README.md | 11 +---------- 1 file changed, 1 insertion(+), 10 deletions(-) diff --git a/notebooks/README.md b/notebooks/README.md index 7084f060..20add71e 100644 --- a/notebooks/README.md +++ b/notebooks/README.md @@ -1,13 +1,4 @@ # Python API Notebooks -This directory contains Colab notebooks that use the V1 Python API. For current notebooks, see the `v2` directory. - -Notebook | Description --------- | ----------- - -[`Place Similarity with Data Commons.ipynb`](https://colab.research.google.com/drive/1t7dFDSpCT16QDkNuD933QgLUL9BOdCAS) | A notebook that identifies similar places given a place and one or more statistical variables from Data Commons. -[`Missing Data Imputation Tutorial.ipynb`](https://colab.research.google.com/drive/1S_rMCyRsgygd8sV-r8aLRPcKwZPFcEGb) | A notebook that analyzes the different types of time series holes and different methods of imputing those holes. -[`analyzing_genomic_data.ipynb`](https://colab.research.google.com/drive/1Io7EDr4LjfPLl_l2JYY8__WbfitfNlOf) | A notebook that analyzes genetic variants within RUNX1 (provided by multiple datasets from UCSC Genome Browser, NCBI/gene, and ClinVar). -[`Drug_Discovery_With_Data_Commons.ipynb`](https://colab.research.google.com/drive/1dSKYiRMn3mbDsInorQzYM0yk7sqv6fIV) | A notebook performing drug discovery by identifying novel applications of previously approved drugs using Biomedical Data Commons. -[`protein-charts.ipynb`](https://colab.research.google.com/drive/1Kh-ufqobdChZ2qQgEY0rdPA2_DBmOiSG) | A notebook summarizing various protein properties and interactions using graphical visualizations. +This directory contains Colab notebooks that use the Python API. From c2342e35a96957c026dabc7c80636e15fa5fefe8 Mon Sep 17 00:00:00 2001 From: Natalie Diaz Date: Fri, 23 Jan 2026 09:46:03 -0800 Subject: [PATCH 3/3] readme --- notebooks/README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/notebooks/README.md b/notebooks/README.md index 20add71e..c18a50c2 100644 --- a/notebooks/README.md +++ b/notebooks/README.md @@ -1,4 +1,3 @@ # Python API Notebooks This directory contains Colab notebooks that use the Python API. -