{"id":"W2166811939","doi":"10.1016/j.ymeth.2012.07.006","title":"Deep sequencing analysis of phage libraries using Illumina platform","year":2012,"lang":"en","type":"article","venue":"Methods","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"","keywords":"Illumina dye sequencing; Sanger sequencing; DNA sequencing; Deep sequencing; Biology; Computational biology; Massive parallel sequencing; Genomic library; Genetics; Phage display; Bacteriophage; Sequence analysis; DNA; Genome; Gene; Base sequence; Escherichia coli","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":[0.001025161,0.001464579,0.001470975,0.001540815,0.00140555,0.001463333,0.0009402533,0.0005334431,0.00469067],"category_scores_gemma":[0.001235397,0.0008672035,0.001460024,0.001167358,0.0004689919,0.0004784632,0.0009580312,0.001886191,0.002840956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006715712,"about_ca_system_score_gemma":0.001190879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220404,"about_ca_topic_score_gemma":0.006902399,"domain_scores_codex":[0.9989593,0.0001198238,0.00005847463,0.0003878641,0.000294423,0.0001801202],"domain_scores_gemma":[0.999359,0.0001981552,0.00005011031,0.0001114005,0.0001805545,0.0001007679],"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":[0.0003170276,0.00007592332,0.001107157,0.0002168544,0.00009082612,0.00004240812,0.000168435,0.0006629676,0.9705113,0.0007502745,0.001341262,0.02471556],"study_design_scores_gemma":[0.0000697802,0.0003773995,0.01399369,0.00004958928,0.0002579346,0.0002118653,0.0001007303,0.01568334,0.9337197,0.002665937,0.03277222,0.0000978987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2793397,0.001568851,0.6690633,0.0003191219,0.0002443793,0.0006887999,0.02816554,0.009313266,0.01129699],"genre_scores_gemma":[0.2285551,0.001297073,0.7011684,0.0007879717,0.00009066956,0.001392492,0.04661452,0.002658973,0.01743479],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00469067,"threshold_uncertainty_score":0.01569188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1890260333822755,"score_gpt":0.4653201822089304,"score_spread":0.2762941488266549,"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."}}