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dc.date.accessioned2018-11-15T13:45:18Z
dc.date.available2018-11-15T13:45:18Z
dc.date.created2014-11-15T09:55:40Z
dc.date.issued2014
dc.identifier.citationPaulsen, Jonas Sandve, Geir Kjetil F. Gundersen, Sveinung Lien, Tonje Gulbrandsen Trengereid, Kai Hovig, Johannes Eivind . HiBrowse: Multi-purpose statistical analysis of genome-wide chromatin 3D organization. Bioinformatics. 2014, 30(11), 1620-1622
dc.identifier.urihttp://hdl.handle.net/10852/65546
dc.description.abstractRecently developed methods that couple next-generation sequencing with chromosome conformation capture-based techniques, such as Hi-C and ChIA-PET, allow for characterization of genome-wide chromatin 3D structure. Understanding the organization of chromatin in three dimensions is a crucial next step in the unraveling of global gene regulation, and methods for analyzing such data are needed. We have developed HiBrowse, a user-friendly web-tool consisting of a range of hypothesis-based and descriptive statistics, using realistic assumptions in null-models.en_US
dc.languageEN
dc.publisherOxford University Press
dc.rightsAttribution-NonCommercial 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/
dc.titleHiBrowse: Multi-purpose statistical analysis of genome-wide chromatin 3D organizationen_US
dc.typeJournal articleen_US
dc.creator.authorPaulsen, Jonas
dc.creator.authorSandve, Geir Kjetil F.
dc.creator.authorGundersen, Sveinung
dc.creator.authorLien, Tonje Gulbrandsen
dc.creator.authorTrengereid, Kai
dc.creator.authorHovig, Johannes Eivind
cristin.unitcode185,15,5,35
cristin.unitnameForskningsgruppen for biomedisinsk informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin1173180
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Bioinformatics&rft.volume=30&rft.spage=1620&rft.date=2014
dc.identifier.jtitleBioinformatics
dc.identifier.volume30
dc.identifier.issue11
dc.identifier.startpage1620
dc.identifier.endpage1622
dc.identifier.doihttp://dx.doi.org/10.1093/bioinformatics/btu082
dc.identifier.urnURN:NBN:no-68120
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn1367-4803
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/65546/2/btu082.pdf
dc.type.versionPublishedVersion
dc.relation.projectNFR/174826


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