{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T13:50:05Z","timestamp":1783432205469,"version":"3.54.6"},"reference-count":9,"publisher":"Oxford University Press (OUP)","issue":"5","funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["Z01 ES049033"],"award-info":[{"award-number":["Z01 ES049033"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["Z01 ES049032"],"award-info":[{"award-number":["Z01 ES049032"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["Z01 ES044005"],"award-info":[{"award-number":["Z01 ES044005"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Institute of Environmental Health Sciences Award","award":["P30ES00606"],"award-info":[{"award-number":["P30ES00606"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>ipDMR is an R software tool for identification of differentially methylated regions (DMRs) using auto-correlated P-values for individual CpGs from epigenome-wide association analysis using array or bisulfite sequencing data. It summarizes P-values for adjacent CpGs, identifies association peaks and then extends peaks to find boundaries of DMRs. ipDMR uses BED format files as input and is easy to use. Simulations guided by real data found that ipDMR outperformed current available methods and provided slightly higher true positive rates and much lower false discovery rates.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>ipDMR is available at https:\/\/bioconductor.org\/packages\/release\/bioc\/html\/ENmix.html.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa732","type":"journal-article","created":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T03:38:23Z","timestamp":1597203503000},"page":"711-713","source":"Crossref","is-referenced-by-count":51,"title":["ipDMR: identification of differentially methylated regions with interval <i>P<\/i>-values"],"prefix":"10.1093","volume":"37","author":[{"given":"Zongli","family":"Xu","sequence":"first","affiliation":[{"name":"Epidemiology Branch, National Institute of Environmental Health Sciences, NIH , Research Triangle Park, NC 27709, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changchun","family":"Xie","sequence":"additional","affiliation":[{"name":"Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, College of Medicine, University of Cincinnati , Cincinnati, OH 45267, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jack A","family":"Taylor","sequence":"additional","affiliation":[{"name":"Epidemiology Branch, National Institute of Environmental Health Sciences, NIH , Research Triangle Park, NC 27709, USA"},{"name":"Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH , Research Triangle Park, NC 27709, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Niu","sequence":"additional","affiliation":[{"name":"Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, College of Medicine, University of Cincinnati , Cincinnati, OH 45267, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2020,8,17]]},"reference":[{"key":"2023051704101488200_btaa732-B1","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.ymeth.2014.10.036","article-title":"Probe Lasso: a novel method to rope in differentially methylated regions with 450K DNA methylation data","volume":"72","author":"Butcher","year":"2015","journal-title":"Methods"},{"key":"2023051704101488200_btaa732-B2","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1093\/ije\/dyr238","article-title":"Bump hunting to identify differentially methylated regions in epigenetic epidemiology studies","volume":"41","author":"Jaffe","year":"2012","journal-title":"Int. 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