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dc.contributor.authorDekker, Job
dc.contributor.authorMarti-Renom, Marc A.
dc.contributor.authorMirny, Leonid A.
dc.date2022-08-11T08:11:00.000
dc.date.accessioned2022-08-23T17:27:38Z
dc.date.available2022-08-23T17:27:38Z
dc.date.issued2013-06-01
dc.date.submitted2013-05-22
dc.identifier.citationNat Rev Genet. 2013 Jun;14(6):390-403. doi: 10.1038/nrg3454. Epub 2013 May 9. <a href="http://dx.doi.org/10.1038/nrg3454">Link to article on publisher's site</a>
dc.identifier.issn1471-0056 (Linking)
dc.identifier.doi10.1038/nrg3454
dc.identifier.pmid23657480
dc.identifier.urihttp://hdl.handle.net/20.500.14038/49907
dc.description.abstractHow DNA is organized in three dimensions inside the cell nucleus and how this affects the ways in which cells access, read and interpret genetic information are among the longest standing questions in cell biology. Using newly developed molecular, genomic and computational approaches based on the chromosome conformation capture technology (such as 3C, 4C, 5C and Hi-C), the spatial organization of genomes is being explored at unprecedented resolution. Interpreting the increasingly large chromatin interaction data sets is now posing novel challenges. Here we describe several types of statistical and computational approaches that have recently been developed to analyse chromatin interaction data.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=23657480&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1038/nrg3454
dc.subjectChromatin
dc.subjectNucleic Acid Conformation
dc.subjectGenome
dc.subjectCell Biology
dc.subjectGenetics and Genomics
dc.subjectSystems Biology
dc.titleExploring the three-dimensional organization of genomes: interpreting chromatin interaction data
dc.typeJournal Article
dc.source.journaltitleNature reviews. Genetics
dc.source.volume14
dc.source.issue6
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/sysbio_pubs/25
dc.identifier.contextkey4164812
html.description.abstract<p>How DNA is organized in three dimensions inside the cell nucleus and how this affects the ways in which cells access, read and interpret genetic information are among the longest standing questions in cell biology. Using newly developed molecular, genomic and computational approaches based on the chromosome conformation capture technology (such as 3C, 4C, 5C and Hi-C), the spatial organization of genomes is being explored at unprecedented resolution. Interpreting the increasingly large chromatin interaction data sets is now posing novel challenges. Here we describe several types of statistical and computational approaches that have recently been developed to analyse chromatin interaction data.</p>
dc.identifier.submissionpathsysbio_pubs/25
dc.contributor.departmentDepartment of Biochemistry and Molecular Pharmacology
dc.contributor.departmentProgram in Systems Biology
dc.source.pages390-403


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