{"id":"W2143063533","doi":"10.1186/gb-2009-10-9-r94","title":"De novo genome sequence assembly of a filamentous fungus using Sanger, 454 and Illumina sequence data","year":2009,"lang":"en","type":"article","venue":"Genome biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Natural Resources Canada; BC Cancer Agency; University of British Columbia","funders":"BC Cancer Agency; Genome Alberta; Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Universität Bielefeld; Genome British Columbia; Canada's Michael Smith Genome Sciences Centre","keywords":"Sanger sequencing; Sequence assembly; Genome; Biology; Whole genome sequencing; Computational biology; Hybrid genome assembly; Illumina dye sequencing; Sequence (biology); Genetics; DNA sequencing; Gene; Transcriptome","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":[0.001208605,0.0006885237,0.0006325566,0.0008025835,0.0008877128,0.001118148,0.0005064865,0.0004280152,0.00122259],"category_scores_gemma":[0.00174527,0.0004926928,0.0007571768,0.0007484811,0.0001993758,0.0007439375,0.0006624972,0.001039378,0.001043742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004369315,"about_ca_system_score_gemma":0.0009816871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001836559,"about_ca_topic_score_gemma":0.005007789,"domain_scores_codex":[0.9994973,0.00009911667,0.00006533891,0.0001328072,0.0001636915,0.00004182177],"domain_scores_gemma":[0.9993455,0.0001734008,0.000108821,0.0001266647,0.0001781955,0.00006740353],"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":[0.0002863002,0.00009597138,0.002867043,0.0002825254,0.00006725956,0.0002467518,0.0002131012,0.003183256,0.9282956,0.002003454,0.001367532,0.06109124],"study_design_scores_gemma":[0.00008048669,0.0005343,0.01571229,0.00008621022,0.0002300659,0.0008600603,0.000188103,0.04338219,0.8651614,0.003583604,0.07007103,0.0001103674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2267277,0.001855991,0.7548855,0.0003392531,0.0002598677,0.0006039368,0.007531204,0.003487377,0.00430914],"genre_scores_gemma":[0.1231172,0.001750432,0.8555304,0.0001025612,0.00003515226,0.0002734221,0.0157827,0.0004114595,0.002996676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001836559,"threshold_uncertainty_score":0.006391764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07251461021771309,"score_gpt":0.3174652203634228,"score_spread":0.2449506101457097,"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."}}