{"id":"W2051873396","doi":"10.1186/1471-2105-8-227","title":"Relationship between insertion/deletion (indel) frequency of proteins and essentiality","year":2007,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre; Simon Fraser University; Michael Smith Health Research BC","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Genome British Columbia; Michael Smith Health Research BC; Genome Canada","keywords":"Indel; Biology; In silico; Proteome; Computational biology; Genetics; INDEL Mutation; DNA microarray; Saccharomyces cerevisiae; Gene; Genotype; Single-nucleotide polymorphism","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":[0.001136026,0.0002321747,0.0003065951,0.001455842,0.0002156912,0.0005310114,0.0002980661,0.0004475163,0.001618653],"category_scores_gemma":[0.004875635,0.0001619293,0.000254977,0.000828261,0.0004614024,0.0004079659,0.000381682,0.0007366469,0.0002882097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002165498,"about_ca_system_score_gemma":0.0001273103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002364546,"about_ca_topic_score_gemma":0.0002414012,"domain_scores_codex":[0.9989504,0.0001719964,0.0001451694,0.0003333087,0.0003018534,0.00009729307],"domain_scores_gemma":[0.9842277,0.01016715,0.003652623,0.0005876965,0.0008415983,0.0005232958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001219768,0.0001933616,0.6793514,0.0003279733,0.0006172261,0.0006862082,0.0001774674,0.002873248,0.3009568,0.0003678695,0.0001587313,0.01307001],"study_design_scores_gemma":[0.00001588126,0.000743117,0.8781167,0.00001782961,0.0002643592,0.004634615,0.0002277972,0.01050543,0.1027385,0.001055756,0.001638774,0.00004124868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903297,0.0007947355,0.007628555,0.00004411895,0.00000868366,0.00001600597,0.0004848618,0.00007418704,0.0006189906],"genre_scores_gemma":[0.9969451,0.0001345639,0.002334628,0.00001508021,0.000005174067,0.00001363049,0.0004149499,0.00001139793,0.0001253305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001618653,"threshold_uncertainty_score":0.00600791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02498220279781606,"score_gpt":0.2616971265343822,"score_spread":0.2367149237365661,"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."}}