{"id":"W3093419969","doi":"10.1128/msphere.00646-20","title":"High-Resolution Genome-Wide Occupancy in <i>Candida</i> spp. Using ChEC-seq","year":2020,"lang":"en","type":"article","venue":"mSphere","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Biology; ChIP-on-chip; Chromatin immunoprecipitation; ChIP-sequencing; Chromatin; Tiling array; Genetics; Candida albicans; Genome; Computational biology; DNA microarray; Gene; Promoter; Gene expression; Nucleosome","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":[0.0004503076,0.0003818579,0.0007239956,0.0005631485,0.0006995298,0.001092208,0.0004231415,0.000541637,0.001364775],"category_scores_gemma":[0.0004410458,0.0002636739,0.000702643,0.0008643846,0.0003579929,0.0002637327,0.0005934465,0.001098089,0.00067224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004225784,"about_ca_system_score_gemma":0.0005991314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004721317,"about_ca_topic_score_gemma":0.01605018,"domain_scores_codex":[0.9995716,0.00002499925,0.00001495782,0.0002307705,0.0001043309,0.00005325696],"domain_scores_gemma":[0.9997231,0.00007938541,0.00004019406,0.00003569701,0.00008484117,0.00003669934],"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":[0.0003585811,0.00004590981,0.009386946,0.0004483282,0.0001951045,0.0001435273,0.0002734127,0.001727479,0.9712048,0.0006418147,0.002767143,0.01280694],"study_design_scores_gemma":[0.0001163797,0.0003306799,0.432906,0.0001630049,0.0006618804,0.001001395,0.001153936,0.05224426,0.4268341,0.002915746,0.08143182,0.0002407995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8502638,0.004336859,0.05701384,0.0005537751,0.0002556501,0.0001641629,0.07649495,0.001977487,0.008939524],"genre_scores_gemma":[0.8146583,0.001925925,0.08416704,0.001543402,0.00008915737,0.0004009016,0.09000535,0.001407456,0.005802529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004721317,"threshold_uncertainty_score":0.009387672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169606090837775,"score_gpt":0.2690931908869091,"score_spread":0.2373971299785313,"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."}}