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dc.contributor.authorMadrigal, Pedroen
dc.date.accessioned2017-02-06T11:21:11Z
dc.date.available2017-02-06T11:21:11Z
dc.date.issued2016-12-19en
dc.identifier.issn1367-4803
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/262309
dc.description.abstractComputational evaluation of variability across DNA or RNA sequencing datasets is a crucial step in genomic science, as it allows both to evaluate reproducibility of biological or technical replicates, and to compare different datasets to identify their potential correlations. Here we present fCCAC, an application of functional canonical correlation analysis to assess covariance of nucleic acid sequencing datasets such as chromatin immunoprecipitation followed by deep sequencing (ChIP-seq). We show how this method differs from other measures of correlation, and exemplify how it can reveal shared covariance between histone modifications and DNA binding proteins, such as the relationship between the H3K4me3 chromatin mark and its epigenetic writers and readers.
dc.description.sponsorshipThis work was supported by the ERC starting grant Relieve-IMDs and core support grant from the Wellcome Trust and MRC to the Wellcome Trust – Medical Research Council Cambridge Stem Cell Institute.
dc.languageengen
dc.language.isoenen
dc.publisherOxford University Press
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titlefCCAC: functional canonical correlation analysis to evaluate covariance between nucleic acid sequencing datasetsen
dc.typeArticle
prism.publicationDate2016en
prism.publicationNameBioinformaticsen
dc.identifier.doi10.17863/CAM.7568
dcterms.dateAccepted2016-11-16en
rioxxterms.versionofrecord10.1093/bioinformatics/btw724en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2016-12-19en
dc.contributor.orcidMadrigal, Pedro [0000-0003-1959-8199]
dc.identifier.eissn1367-4811
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idMRC (MC_PC_12009)
cam.issuedOnline2016-12-19en
cam.orpheus.successThu Jan 30 12:56:59 GMT 2020 - The item has an open VoR version.*
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International