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dc.contributor.authorSherwood, Richard
dc.contributor.authorBarkal, Amira
dc.contributor.authorKang, Daniel D
dc.contributor.authorHashimoto, Tatsunori Benjamin
dc.contributor.authorEngstrom, Logan G.
dc.contributor.authorGifford, David K
dc.date.accessioned2018-01-22T16:10:02Z
dc.date.available2018-01-22T16:10:02Z
dc.date.issued2017-12
dc.date.submitted2017-03
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/113253
dc.description.abstractThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. We describe DNase-capture, an assay that increases the analytical resolution of DNase-seq by focusing its sequencing phase on selected genomic regions. We introduce a new method to compensate for capture bias called BaseNormal that allows for accurate recovery of transcription factor protection profiles from DNase-capture data. We show that these normalized data allow for nuanced detection of transcription factor binding heterogeneity with as few as dozens of sites.en_US
dc.description.sponsorshipNational Institute of General Medical Sciences (U.S.) (Grant 1U01HG007037)en_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0187046en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0en_US
dc.sourcePLoSen_US
dc.titleDNase-capture reveals differential transcription factor binding modalitiesen_US
dc.typeArticleen_US
dc.identifier.citationKang, Daniel et al. “DNase-Capture Reveals Differential Transcription Factor Binding Modalities.” Edited by Deyou Zheng. PLOS ONE 12, 12 (December 2017): e0187046 © 2017 Kang et alen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorKang, Daniel D
dc.contributor.mitauthorHashimoto, Tatsunori Benjamin
dc.contributor.mitauthorEngstrom, Logan G.
dc.contributor.mitauthorGifford, David K
dc.relation.journalPLOS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-01-19T16:34:05Z
dspace.orderedauthorsKang, Daniel; Sherwood, Richard; Barkal, Amira; Hashimoto, Tatsunori; Engstrom, Logan; Gifford, Daviden_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0521-5855
dc.identifier.orcidhttps://orcid.org/0000-0003-1709-4034
mit.licensePUBLISHER_CCen_US


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