{"id":"W1547798848","doi":"10.1186/s12864-015-1572-7","title":"Quantitative and multiplexed DNA methylation analysis using long-read single-molecule real-time bisulfite sequencing (SMRT-BS)","year":2015,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Institute of General Medical Sciences; Icahn School of Medicine at Mount Sinai","keywords":"Illumina Methylation Assay; Bisulfite sequencing; Bisulfite; Methylated DNA immunoprecipitation; CpG site; Biology; Amplicon; DNA methylation; Methylation; Molecular biology; Single molecule real time sequencing; Genetics; DNA; DNA sequencing; Gene; Polymerase chain reaction; DNA sequencer; Gene expression","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":[0.002438066,0.001504617,0.0007679387,0.001329222,0.0003053868,0.0008995526,0.0008298541,0.0008514451,0.001347195],"category_scores_gemma":[0.002173918,0.0005486918,0.0008406875,0.0008465661,0.0007693311,0.0005734256,0.0006783469,0.0009915578,0.0008901453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000599733,"about_ca_system_score_gemma":0.0007327407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007489438,"about_ca_topic_score_gemma":0.001506757,"domain_scores_codex":[0.9967159,0.0006286336,0.0002093934,0.001335021,0.0009874734,0.0001236353],"domain_scores_gemma":[0.9987748,0.0003393875,0.0003494589,0.0001702996,0.0003086337,0.00005742277],"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":[0.0001647072,0.000061578,0.001394491,0.0002073977,0.0000741497,0.00002838156,0.00007675405,0.001413879,0.9812942,0.0003662623,0.0001709089,0.01474726],"study_design_scores_gemma":[0.00001798915,0.0002711414,0.002475118,0.00001824503,0.00006698348,0.0001274617,0.00001799215,0.01652933,0.9774057,0.0003439253,0.002682824,0.00004329895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2275817,0.002564387,0.7601697,0.0001713215,0.0001563955,0.0006280748,0.003016029,0.003859624,0.001852833],"genre_scores_gemma":[0.2658584,0.001653702,0.7246214,0.0001772809,0.0000562143,0.001334666,0.003177264,0.0002497059,0.002871258],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002438066,"threshold_uncertainty_score":0.01289392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07717740097117703,"score_gpt":0.3116814094534931,"score_spread":0.2345040084823161,"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."}}