{"id":"W2949097965","doi":"10.1101/128835","title":"Nanopore sequencing and assembly of a human genome with ultra-long reads","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; Michael Smith Health Research BC; University of British Columbia","funders":"National Cancer Institute; Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Rosetrees Trust; Genome British Columbia; Michael Smith Health Research BC; Government of Ontario; National Institutes of Health; Cancer Research UK; Medical Research Council; Amazon Web Services; National Human Genome Research Institute; Wellcome Trust; Ontario Institute for Cancer Research; Oxford Nanopore Technologies; Fondation Brain Canada","keywords":"Minion; Nanopore sequencing; Nanopore; Sequence assembly; Computational biology; Genome; Hybrid genome assembly; Contig; DNA sequencing; Human genome; Biology; Whole genome sequencing; Computer science; Genetics; Nanotechnology; DNA; Gene; Materials science","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":[0.0007716748,0.0005235486,0.0007444797,0.0007557955,0.0005617769,0.0005857317,0.00074203,0.0006637223,0.003493881],"category_scores_gemma":[0.001673615,0.0003936493,0.0007110782,0.001402817,0.0002166661,0.0003691979,0.0009422622,0.0008835484,0.002526447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004606188,"about_ca_system_score_gemma":0.0006230652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005560274,"about_ca_topic_score_gemma":0.008129348,"domain_scores_codex":[0.9991257,0.0001367035,0.00007053807,0.0003604404,0.0002374943,0.00006917032],"domain_scores_gemma":[0.99921,0.000267582,0.00006656553,0.0002289739,0.0001706071,0.00005622533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001053408,0.0001087819,0.009381162,0.0009587575,0.0003462697,0.0006074528,0.0004599572,0.0193354,0.8345212,0.004805329,0.03377209,0.09465011],"study_design_scores_gemma":[0.0001191932,0.0002816517,0.03518066,0.0001376198,0.0001512955,0.000830453,0.0002036168,0.1178647,0.6690944,0.00874077,0.167244,0.0001515222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3283763,0.001739601,0.4365782,0.0008614009,0.000390725,0.0004255618,0.2059994,0.01715272,0.008476006],"genre_scores_gemma":[0.2329677,0.0007139231,0.4554575,0.0003754827,0.00004956062,0.0005203125,0.3034674,0.001758955,0.00468916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005560274,"threshold_uncertainty_score":0.01168817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561787204509524,"score_gpt":0.2275952617630861,"score_spread":0.2119773897179909,"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."}}