{"id":"W4248593911","doi":"10.1038/npre.2011.5524","title":"Targeted Assembly of Short Sequence Reads","year":2011,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"BC Cancer Agency","keywords":"Sequence (biology); Bottleneck; Computer science; Computational biology; Sequence assembly; Set (abstract data type); Alignment-free sequence analysis; Data mining; Consensus sequence; Sequence alignment; Genetics; Biology; Base sequence; DNA; Gene; Peptide sequence; Programming language","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":[0.001284906,0.00142868,0.001816749,0.001942305,0.0007914191,0.001479899,0.001313995,0.001024548,0.005934224],"category_scores_gemma":[0.004224595,0.000898583,0.001972622,0.001752106,0.000398565,0.0007149554,0.001846201,0.001955205,0.01123663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004595479,"about_ca_system_score_gemma":0.0008103966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008473534,"about_ca_topic_score_gemma":0.001420314,"domain_scores_codex":[0.9977907,0.0003273689,0.0002551536,0.0007405645,0.000692005,0.0001941984],"domain_scores_gemma":[0.997698,0.000458269,0.0002104064,0.0006470099,0.0008257149,0.0001604858],"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":[0.0004977406,0.00008574655,0.001300215,0.0009076532,0.0001655576,0.000808275,0.0004825889,0.004233759,0.8827192,0.005271037,0.01355609,0.08997215],"study_design_scores_gemma":[0.0001005052,0.0005910509,0.004520166,0.0001670682,0.0001952618,0.001533559,0.0002585511,0.04856199,0.7283025,0.008619203,0.2070163,0.0001339004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04434362,0.001455021,0.9207472,0.0001729264,0.0007626744,0.001355527,0.01273029,0.01096688,0.007465865],"genre_scores_gemma":[0.1091413,0.001746148,0.8058305,0.0005244278,0.0002323439,0.001647971,0.06061481,0.00415039,0.01611204],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005934224,"threshold_uncertainty_score":0.01985198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237628312639913,"score_gpt":0.2804353495044523,"score_spread":0.2580590663780532,"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."}}