{"id":"W2168859815","doi":"10.1093/bioinformatics/bts340","title":"ChromoHub: a data hub for navigators of chromatin-mediated signalling","year":2012,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation; Canadian Institutes of Health Research; Genome Canada; Wellcome Trust; Eli Lilly Canada; GlaxoSmithKline; Pfizer; Eli Lilly and Company","keywords":"Chromatin; Histone; Computational biology; Resource (disambiguation); Epigenetics; Biology; Bromodomain; Relevance (law); Chromatin remodeling; Signalling; Nucleosome; Data science; Computer science; Genetics; Gene; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004500494,0.002151796,0.001906152,0.006689378,0.001554305,0.004632688,0.005110906,0.002486035,0.0760572],"category_scores_gemma":[0.02047588,0.001154711,0.001051087,0.01003128,0.001000872,0.005917753,0.006997759,0.003002345,0.04684221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002318016,"about_ca_system_score_gemma":0.004243352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007386563,"about_ca_topic_score_gemma":0.006728829,"domain_scores_codex":[0.9978175,0.0003381962,0.0002741347,0.0005019786,0.0008422172,0.0002260142],"domain_scores_gemma":[0.9873136,0.005147368,0.0009248069,0.003021392,0.00171879,0.001873955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002089864,0.000137154,0.003889971,0.003147423,0.0002112477,0.0005237084,0.0004584516,0.002083285,0.007742622,0.01846178,0.8627411,0.09851336],"study_design_scores_gemma":[0.0007025799,0.0001301763,0.006551628,0.0006442365,0.0001648827,0.0004820938,0.0002190869,0.02264636,0.02298257,0.03350788,0.9116619,0.0003065658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00394924,0.001304172,0.08701888,0.002124905,0.0004658201,0.0004128016,0.5056223,0.381179,0.01792293],"genre_scores_gemma":[0.04464365,0.001447888,0.110245,0.001724563,0.0002823953,0.001040139,0.7831252,0.05004045,0.007450661],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0760572,"threshold_uncertainty_score":0.2544367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208753217242906,"score_gpt":0.2616278186968112,"score_spread":0.2395402865243822,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}