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dc.contributor.authorYuan, Ke
dc.contributor.authorSakoparnig, Thomas
dc.contributor.authorMarkowetz, Florian
dc.contributor.authorBeerenwinkel, Niko
dc.date.accessioned2015-04-02T10:47:25Z
dc.date.available2015-04-02T10:47:25Z
dc.date.issued2015-02-13
dc.identifier.citationGenome Biology 2015, 16:36 doi: 10.1186/s13059-015-0592-6
dc.identifier.issn1474-7596
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/247261
dc.description.abstractCancer has long been understood as a somatic evolutionary process, but many details of tumor progression remain elusive. Here, we present BitPhylogenyBitPhylogeny, a probabilistic framework to reconstruct intra-tumor evolutionary pathways. Using a full Bayesian approach, we jointly estimate the number and composition of clones in the sample as well as the most likely tree connecting them. We validate our approach in the controlled setting of a simulation study and compare it against several competing methods. In two case studies, we demonstrate how BitPhylogeny BitPhylogeny reconstructs tumor phylogenies from methylation patterns in colon cancer and from single-cell exomes in myeloproliferative neoplasm.
dc.description.sponsorshipKY and FM would like to acknowledge the support of the University of Cambridge, Cancer Research UK and Hutchison Whampoa Limited.
dc.languageEnglish
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.rightsAttribution 2.0 UK: England & Wales
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/uk/
dc.titleBitPhylogeny: a probabilistic framework for reconstructing intra-tumor phylogenies.
dc.typeArticle
dc.description.versionThis is the final published version. It first appeared at http://genomebiology.com/2015/16/1/36.
prism.publicationDate2015
prism.publicationNameGenome Biol
prism.volume16
dc.rioxxterms.funderCRUK
dcterms.dateAccepted2015-01-21
rioxxterms.versionofrecord10.1186/s13059-015-0592-6
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2015-02-13
dc.contributor.orcidMarkowetz, Florian [0000-0002-2784-5308]
dc.identifier.eissn1474-760X
rioxxterms.typeJournal Article/Review
pubs.funder-project-idCancer Research UK (C14303/A17197)
pubs.funder-project-idCancer Research UK (CB4320)
cam.issuedOnline2015-02-13


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Attribution 2.0 UK: England & Wales
Except where otherwise noted, this item's licence is described as Attribution 2.0 UK: England & Wales