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dc.contributor.authorHashimoto, Tatsunori Benjamin
dc.contributor.authorEdwards, Matthew Douglas
dc.contributor.authorGifford, David K.
dc.date.accessioned2014-05-02T14:50:09Z
dc.date.available2014-05-02T14:50:09Z
dc.date.issued2014-03
dc.identifier.issn1553-7358
dc.identifier.urihttp://hdl.handle.net/1721.1/86363
dc.description.abstractWe show that existing RNA-seq, DNase-seq, and ChIP-seq data exhibit overdispersed per-base read count distributions that are not matched to existing computational method assumptions. To compensate for this overdispersion we introduce a nonparametric and universal method for processing per-base sequencing read count data called Fixseq. We demonstrate that Fixseq substantially improves the performance of existing RNA-seq, DNase-seq, and ChIP-seq analysis tools when compared with existing alternatives.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH grant no. 5-U01-HG007037)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (NSF grant no. 0645960)en_US
dc.description.sponsorshipQatar Computing Research Instituteen_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pcbi.1003494en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleUniversal Count Correction for High-Throughput Sequencingen_US
dc.typeArticleen_US
dc.identifier.citationHashimoto, Tatsunori B., Matthew D. Edwards, and David K. Gifford. “Universal Count Correction for High-Throughput Sequencing.” Edited by Alice Carolyn McHardy. PLoS Comput Biol 10, no. 3 (March 6, 2014): e1003494.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.mitauthorHashimoto, Tatsunori Benjaminen_US
dc.contributor.mitauthorEdwards, Matthew Douglasen_US
dc.contributor.mitauthorGifford, David K.en_US
dc.relation.journalPLoS Computational Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsHashimoto, Tatsunori B.; Edwards, Matthew D.; Gifford, David K.en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0521-5855
dc.identifier.orcidhttps://orcid.org/0000-0002-5845-748X
dc.identifier.orcidhttps://orcid.org/0000-0003-1709-4034
mit.licensePUBLISHER_CCen_US


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