{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T00:14:33Z","timestamp":1786407273893,"version":"3.56.0"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,1,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: DNA methylation is one of the most commonly studied epigenetic modifications due to its role in both disease and development. The Illumina HumanMethylation450 BeadChip is a cost-effective way to profile &amp;gt;450\u2009000 CpGs across the human genome, making it a popular platform for profiling DNA methylation. Here we introduce missMethyl, an R package with a suite of tools for performing normalization, removal of unwanted variation in differential methylation analysis, differential variability testing and gene set analysis for the 450K array.<\/jats:p>\n               <jats:p>Availability and implementation: missMethyl is an R package available from the Bioconductor project at www.bioconductor.org.<\/jats:p>\n               <jats:p>Contact: \u00a0alicia.oshlack@mcri.edu.au<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btv560","type":"journal-article","created":{"date-parts":[[2015,10,1]],"date-time":"2015-10-01T01:09:54Z","timestamp":1443661794000},"page":"286-288","source":"Crossref","is-referenced-by-count":805,"title":["missMethyl: an R package for analyzing data from Illumina\u2019s HumanMethylation450 platform"],"prefix":"10.1093","volume":"32","author":[{"given":"Belinda","family":"Phipson","sequence":"first","affiliation":[{"name":"Bioinformatics Group, Murdoch Childrens Research Institute, Royal Children\u2019s Hospital, 50 Flemington Road, Parkville, Victoria, 3052, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jovana","family":"Maksimovic","sequence":"additional","affiliation":[{"name":"Bioinformatics Group, Murdoch Childrens Research Institute, Royal Children\u2019s Hospital, 50 Flemington Road, Parkville, Victoria, 3052, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alicia","family":"Oshlack","sequence":"additional","affiliation":[{"name":"Bioinformatics Group, Murdoch Childrens Research Institute, Royal Children\u2019s Hospital, 50 Flemington Road, Parkville, Victoria, 3052, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2015,9,30]]},"reference":[{"key":"2023020110282933100_btv560-B1","doi-asserted-by":"crossref","first-page":"R87","DOI":"10.1186\/gb-2012-13-10-r87","article-title":"methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles","volume":"13","author":"Akalin","year":"2012","journal-title":"Genome Biol."},{"key":"2023020110282933100_btv560-B2","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1093\/bioinformatics\/btu049","article-title":"Minfi: a flexible and comprehensive Bioconductor package for the analysis of infinium DNA methylation microarrays","volume":"30","author":"Aryee","year":"2014","journal-title":"Bioinformatics"},{"key":"2023020110282933100_btv560-B3","doi-asserted-by":"crossref","first-page":"1851","DOI":"10.1093\/bioinformatics\/btt311","article-title":"Gene-set analysis is severely biased when applied to genome-wide methylation data","volume":"29","author":"Geeleher","year":"2013","journal-title":"Bioinformatics"},{"key":"2023020110282933100_btv560-B4","doi-asserted-by":"crossref","first-page":"768","DOI":"10.1038\/ng.865","article-title":"Increased methylation variation in epigenetic domains across cancer types","volume":"43","author":"Hansen","year":"2011","journal-title":"Nat. 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