{"id":"W1990095531","doi":"10.1038/nmeth.1422","title":"Visualizing genomes: techniques and challenges","year":2010,"lang":"en","type":"review","venue":"Nature Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":172,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; Howard Hughes Medical Institute","keywords":"Genomics; Computer science; Limiting; Genome; Visualization; Data science; Computational biology; Data visualization; DNA sequencing; Comparative genomics; Biology; Data mining; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005337977,0.002414418,0.002952439,0.005571692,0.0009213295,0.004230977,0.004657159,0.003821722,0.004887045],"category_scores_gemma":[0.006713049,0.001690674,0.001025111,0.00657035,0.003911164,0.008780888,0.002519299,0.005304928,0.004298231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00268491,"about_ca_system_score_gemma":0.002548074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005596908,"about_ca_topic_score_gemma":0.006600535,"domain_scores_codex":[0.9986479,0.0003251301,0.000111158,0.0002756574,0.0005632937,0.00007677898],"domain_scores_gemma":[0.9920964,0.004845983,0.0002572311,0.0003836968,0.002082159,0.0003343977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004943303,0.00004988834,0.0002263948,0.006535997,0.00005636939,0.00007169884,0.0001323719,0.0006972674,0.002576812,0.01651441,0.05628048,0.9168088],"study_design_scores_gemma":[0.0000170001,0.00002802611,0.0004052372,0.002151277,0.00005586844,0.0008325909,0.0001400012,0.001041541,0.002052393,0.01744676,0.9757607,0.00006845947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001013367,0.9859758,0.01031443,0.001172321,0.0006926836,0.00001486421,0.00006358371,0.0001415971,0.001523469],"genre_scores_gemma":[0.0009301736,0.9742171,0.02128885,0.0007523919,0.0008364097,0.000050448,0.0001511553,0.00006379231,0.001709744],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005596908,"threshold_uncertainty_score":0.02823031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07158610135972797,"score_gpt":0.4499091247774314,"score_spread":0.3783230234177035,"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."}}