{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T06:53:13Z","timestamp":1782802393132,"version":"3.54.5"},"reference-count":13,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2023,4,21]],"date-time":"2023-04-21T00:00:00Z","timestamp":1682035200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R35-GM128645"],"award-info":[{"award-number":["R35-GM128645"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Deriving biological insights from genomic data commonly requires comparing attributes of selected genomic loci to a null set of loci. The selection of this null set is non-trivial, as it requires careful consideration of potential covariates, a problem that is exacerbated by the non-uniform distribution of genomic features including genes, enhancers, and transcription factor binding sites. Propensity score-based covariate matching methods allow the selection of null sets from a pool of possible items while controlling for multiple covariates; however, existing packages do not operate on genomic data classes and can be slow for large data sets making them difficult to integrate into genomic workflows.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>To address this, we developed matchRanges, a propensity score-based covariate matching method for the efficient and convenient generation of matched null ranges from a set of background ranges within the Bioconductor framework.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>Package: https:\/\/bioconductor.org\/packages\/nullranges, Code: https:\/\/github.com\/nullranges, Documentation: https:\/\/nullranges.github.io\/nullranges.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btad197","type":"journal-article","created":{"date-parts":[[2023,4,21]],"date-time":"2023-04-21T14:53:54Z","timestamp":1682088834000},"source":"Crossref","is-referenced-by-count":22,"title":["matchRanges: generating null hypothesis genomic ranges via covariate-matched sampling"],"prefix":"10.1093","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4051-3217","authenticated-orcid":false,"given":"Eric S","family":"Davis","sequence":"first","affiliation":[{"name":"Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill , Chapel Hill, NC, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wancen","family":"Mu","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, NC, United 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