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dc.contributor.authorFudenberg, Geoffrey
dc.contributor.authorMcCord, Rachel P.
dc.contributor.authorNaumova, Natalia
dc.contributor.authorGoloborodko, Anton
dc.contributor.authorLajoie, Bryan R
dc.contributor.authorDekker, Job
dc.contributor.authorImakaev, Maksim Viktorovich
dc.contributor.authorMirny, Leonid A.
dc.date.accessioned2015-01-20T14:30:31Z
dc.date.available2015-01-20T14:30:31Z
dc.date.issued2012-09
dc.date.submitted2012-05
dc.identifier.issn1548-7091
dc.identifier.issn1548-7105
dc.identifier.urihttp://hdl.handle.net/1721.1/92953
dc.description.abstractExtracting biologically meaningful information from chromosomal interactions obtained with genome-wide chromosome conformation capture (3C) analyses requires the elimination of systematic biases. We present a computational pipeline that integrates a strategy to map sequencing reads with a data-driven method for iterative correction of biases, yielding genome-wide maps of relative contact probabilities. We validate this ICE (iterative correction and eigenvector decomposition) technique on published data obtained by the high-throughput 3C method Hi-C, and we demonstrate that eigenvector decomposition of the obtained maps provides insights into local chromatin states, global patterns of chromosomal interactions, and the conserved organization of human and mouse chromosomes.en_US
dc.description.sponsorshipNational Cancer Institute (U.S.). Physical Sciences-Oncology Center (U54CA143874)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nmeth.2148en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePMCen_US
dc.titleIterative correction of Hi-C data reveals hallmarks of chromosome organizationen_US
dc.typeArticleen_US
dc.identifier.citationImakaev, Maxim, Geoffrey Fudenberg, Rachel Patton McCord, Natalia Naumova, Anton Goloborodko, Bryan R Lajoie, Job Dekker, and Leonid A Mirny. “Iterative Correction of Hi-C Data Reveals Hallmarks of Chromosome Organization.” Nature Methods 9, no. 10 (September 2, 2012): 999–1003.en_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.contributor.mitauthorImakaev, Maksim Viktorovichen_US
dc.contributor.mitauthorGoloborodko, Antonen_US
dc.contributor.mitauthorMirny, Leonid A.en_US
dc.relation.journalNature Methodsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsImakaev, Maxim; Fudenberg, Geoffrey; McCord, Rachel Patton; Naumova, Natalia; Goloborodko, Anton; Lajoie, Bryan R; Dekker, Job; Mirny, Leonid Aen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0785-5410
dc.identifier.orcidhttps://orcid.org/0000-0002-5320-2728
dc.identifier.orcidhttps://orcid.org/0000-0002-2210-8616
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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