4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation?

dc.contributor.author	Sekelja, Monika
dc.contributor.author	Paulsen, Jonas
dc.contributor.author	Collas, Philippe
dc.date.accessioned	2016-04-12T05:00:17Z
dc.date.available	2016-04-12T05:00:17Z
dc.date.issued	2016
dc.identifier.citation	Genome Biology. 2016 Apr 07;17(1):54
dc.identifier.uri	http://hdl.handle.net/10852/50087
dc.description.abstract	Genome-wide sequencing technologies enable investigations of the structural properties of the genome in various spatial dimensions. Here, we review computational techniques developed to model the three-dimensional genome in single cells versus ensembles of cells and assess their underlying assumptions. We further address approaches to study the spatio-temporal aspects of genome organization from single-cell data.
dc.language.iso	eng
dc.rights	Sekelja et al.; licensee BioMed Central Ltd.
dc.rights	Attribution 4.0 International
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.title	4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation?
dc.type	Journal article
dc.date.updated	2016-04-12T05:00:17Z
dc.creator.author	Sekelja, Monika
dc.creator.author	Paulsen, Jonas
dc.creator.author	Collas, Philippe
dc.identifier.doi	http://dx.doi.org/10.1186/s13059-016-0923-2
dc.identifier.urn	URN:NBN:no-53764
dc.type.document	Tidsskriftartikkel
dc.type.peerreviewed	Peer reviewed
dc.identifier.fulltext	Fulltext https://www.duo.uio.no/bitstream/handle/10852/50087/1/13059_2016_Article_923.pdf
dc.type.version	PublishedVersion
cristin.articleid	54