{"id":"W2805514251","doi":"10.29173/spectrum35","title":"Auto Sequencer: A DNA Sequence Alignment and Assembly Tool","year":2018,"lang":"en","type":"article","venue":"Spectrum","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sequence assembly; DNA sequencing; Sequence (biology); Merge (version control); DNA; Sequencing by ligation; DNA sequencer; Computer science; DNA nanoball sequencing; Alignment-free sequence analysis; Software; Hybrid genome assembly; Computational biology; Sequence analysis; Sequence logo; Consensus sequence; Reference genome; Sequence alignment; Algorithm; Biology; Genetics; Base sequence; Information retrieval; Programming language; Peptide sequence; Genomic library; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00289838,0.003804404,0.002242062,0.003524867,0.001193677,0.001746153,0.003943305,0.001695319,0.02858576],"category_scores_gemma":[0.003551004,0.002235618,0.001530428,0.002000849,0.0006136722,0.002006394,0.002326085,0.003167245,0.03652313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006129518,"about_ca_system_score_gemma":0.001150662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041732,"about_ca_topic_score_gemma":0.001165474,"domain_scores_codex":[0.9973821,0.0004727373,0.0003306734,0.0006216599,0.001028695,0.0001641212],"domain_scores_gemma":[0.9985644,0.0005568965,0.000259018,0.0002048391,0.0003037399,0.0001110909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001529691,0.0004404307,0.001775868,0.003512113,0.0005441594,0.001614106,0.0005681575,0.007327554,0.1938887,0.007887466,0.3450315,0.4358803],"study_design_scores_gemma":[0.0004836318,0.000407987,0.002364095,0.0004278483,0.0002099893,0.002851424,0.000108609,0.06689417,0.1914252,0.01116426,0.7232821,0.0003805062],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002932207,0.001317023,0.642799,0.0001739866,0.0003186362,0.0004452372,0.01346752,0.3343022,0.004244148],"genre_scores_gemma":[0.01517323,0.001248238,0.8894357,0.000471505,0.0001461903,0.00161579,0.04917676,0.03390807,0.008824437],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02858576,"threshold_uncertainty_score":0.09562892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416994902413205,"score_gpt":0.2510992418464547,"score_spread":0.2369292928223227,"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."}}