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dc.contributor.authorDurand, Neva C.
dc.contributor.authorShamim, Muhammad S.
dc.contributor.authorMachol, Ido
dc.contributor.authorRao, Suhas S.P.
dc.contributor.authorHuntley, Miriam H.
dc.contributor.authorAiden, Erez Lieberman
dc.contributor.authorLander, Eric Steven
dc.date.accessioned2017-01-31T17:15:21Z
dc.date.available2017-01-31T17:15:21Z
dc.date.issued2016-07
dc.date.submitted2016-05
dc.identifier.issn2405-4712
dc.identifier.urihttp://hdl.handle.net/1721.1/106809
dc.description.abstractHi-C experiments explore the 3D structure of the genome, generating terabases of data to create high-resolution contact maps. Here, we introduce Juicer, an open-source tool for analyzing terabase-scale Hi-C datasets. Juicer allows users without a computational background to transform raw sequence data into normalized contact maps with one click. Juicer produces a hic file containing compressed contact matrices at many resolutions, facilitating visualization and analysis at multiple scales. Structural features, such as loops and domains, are automatically annotated. Juicer is available as open source software at http://aidenlab.org/juicer/.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (New Innovator Award 1DP2OD008540)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) Physics Frontier Center (Grant PHY-1427654)en_US
dc.description.sponsorshipNational Human Genome Research Institute (U.S.) (Grant HG006193)en_US
dc.description.sponsorshipRobert A. Welch Foundation (Grant Q-1866)en_US
dc.description.sponsorshipCancer Prevention and Research Institute of Texas (Scholar Award R1304)en_US
dc.description.sponsorshipNVIDIA Corporation (Research Center Award)en_US
dc.description.sponsorshipIBM (University Challenge Award)en_US
dc.description.sponsorshipGoogle (Research Award)en_US
dc.description.sponsorshipBaylor College of Medicine (McNair Medical Institute Scholar Award)en_US
dc.description.sponsorshipNational Human Genome Research Institute (U.S.) (Grant HG003067)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (4D Nucleome Grant U01HL130010)en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.cels.2016.07.002en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceElsevieren_US
dc.titleJuicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experimentsen_US
dc.typeArticleen_US
dc.identifier.citationDurand, Neva C. et al. “Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments.” Cell Systems 3.1 (2016): 95–98.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.mitauthorLander, Eric Steven
dc.relation.journalCell Systemsen_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.orderedauthorsDurand, Neva C.; Shamim, Muhammad S.; Machol, Ido; Rao, Suhas S.P.; Huntley, Miriam H.; Lander, Eric S.; Aiden, Erez Liebermanen_US
dspace.embargo.termsNen_US
mit.licensePUBLISHER_CCen_US


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