{"id":"W98365741","doi":"10.1007/978-1-62703-281-0_3","title":"Epigenomics: Sequencing the Methylome","year":2013,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of Environmental Health Sciences; Canadian Institutes of Health Research","keywords":"Massive parallel sequencing; DNA methylation; Epigenomics; DNA sequencing; Massively parallel; Computational biology; Methylated DNA immunoprecipitation; Biology; DNA; Illumina Methylation Assay; Methylation; Restriction enzyme; Genome; Genetics; Computer science; Parallel computing; Gene","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":[0.00116232,0.0006228135,0.0008571441,0.00147429,0.0003932092,0.0009958483,0.000649845,0.0008146981,0.003840991],"category_scores_gemma":[0.001760152,0.0004765374,0.000542807,0.001274304,0.0004470235,0.0009267732,0.001156224,0.001677345,0.003192601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003442061,"about_ca_system_score_gemma":0.000600638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006512931,"about_ca_topic_score_gemma":0.001814565,"domain_scores_codex":[0.9993249,0.0001417981,0.00002167867,0.0001883794,0.0002803777,0.00004286368],"domain_scores_gemma":[0.9994435,0.0001547975,0.00006050563,0.0001248351,0.0001547084,0.00006158577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002190394,0.00004912331,0.002731361,0.0007940282,0.0002259086,0.0001126129,0.0001701998,0.001169829,0.8064845,0.007309778,0.01373225,0.1670013],"study_design_scores_gemma":[0.00008051552,0.0003513264,0.01830109,0.000269428,0.000283566,0.001216604,0.0001777519,0.01005584,0.6149566,0.02560396,0.3285902,0.000113233],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0832155,0.03072937,0.8284194,0.003769374,0.001456261,0.0006141746,0.01936882,0.008434896,0.02399219],"genre_scores_gemma":[0.133554,0.04902619,0.7454448,0.004902257,0.001024191,0.001269147,0.02792725,0.001761601,0.03509051],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003840991,"threshold_uncertainty_score":0.01284939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246747510531859,"score_gpt":0.3645325018782613,"score_spread":0.3420650267729427,"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."}}