{"id":"W2915565085","doi":"10.21769/bioprotoc.3171","title":"Rapid Multiplexed Reduced Representation Bisulfite Sequencing Library Prep (rRRBS)","year":2019,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; McGill University Health Centre; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Bisulfite sequencing; Multiple displacement amplification; Bisulfite; Computational biology; DNA methylation; Biology; Epigenetics; Digital polymerase chain reaction; DNA sequencing; Polymerase chain reaction; Molecular biology; DNA; Genetics; DNA extraction; Gene; Gene expression","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":[0.002136417,0.001956407,0.001405343,0.001988177,0.0006811296,0.001352451,0.00204015,0.001101566,0.005625785],"category_scores_gemma":[0.002202958,0.001301067,0.001350084,0.001142794,0.0006973496,0.00084496,0.001607337,0.002018901,0.005376127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004702718,"about_ca_system_score_gemma":0.001011095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005276941,"about_ca_topic_score_gemma":0.001659342,"domain_scores_codex":[0.9965454,0.0007230228,0.0003293582,0.001163255,0.000981287,0.0002577764],"domain_scores_gemma":[0.999143,0.0001813368,0.0001822458,0.0002366465,0.0001825709,0.00007413705],"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":[0.0002366289,0.00011743,0.000399048,0.0005134351,0.00007772615,0.0000989545,0.0001285415,0.0007873084,0.955597,0.001326202,0.002394001,0.03832375],"study_design_scores_gemma":[0.00005669671,0.0005051275,0.001709455,0.00005468195,0.0001358041,0.0003451128,0.00003869566,0.007213955,0.9279299,0.0008173172,0.06110067,0.00009241658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.04959099,0.002454473,0.9234618,0.0002695076,0.0003622772,0.002282554,0.007368284,0.009640533,0.004569496],"genre_scores_gemma":[0.06175537,0.002047884,0.8924289,0.0004384552,0.000104254,0.003768496,0.02403175,0.001030392,0.01439453],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.005625785,"threshold_uncertainty_score":0.01882011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976951615963887,"score_gpt":0.312810879021038,"score_spread":0.2830413628613991,"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."}}