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dc.contributor.authorYakneen, Sergei
dc.contributor.authorWaszak, Sebastian M
dc.contributor.authorPCAWG Technical Working Group
dc.contributor.authorGertz, Michael
dc.contributor.authorKorbel, Jan O
dc.contributor.authorPCAWG Consortium
dc.date.accessioned2021-02-04T16:26:42Z
dc.date.available2021-02-04T16:26:42Z
dc.date.issued2020-03
dc.date.submitted2017-07-14
dc.identifier.issn1087-0156
dc.identifier.others41587-019-0360-3
dc.identifier.other360
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/317168
dc.description.abstractWe present Butler, a computational tool that facilitates large-scale genomic analyses on public and academic clouds. Butler includes innovative anomaly detection and self-healing functions that improve the efficiency of data processing and analysis by 43% compared with current approaches. Butler enabled processing of a 725-terabyte cancer genome dataset from the Pan-Cancer Analysis of Whole Genomes (PCAWG) project in a time-efficient and uniform manner.
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectBrief Communication
dc.subject/631/114/2405
dc.subject/631/114/2398
dc.subject/631/114/1314
dc.subject/631/114/2785
dc.subjectbrief-communication
dc.titleButler enables rapid cloud-based analysis of thousands of human genomes.
dc.typeArticle
dc.date.updated2021-02-04T16:26:41Z
prism.endingPage292
prism.issueIdentifier3
prism.publicationNameNat Biotechnol
prism.startingPage288
prism.volume38
dc.identifier.doi10.17863/CAM.64279
dcterms.dateAccepted2018-07-05
rioxxterms.versionofrecord10.1038/s41587-019-0360-3
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidYakneen, Sergei [0000-0001-7827-9839]
dc.contributor.orcidKorbel, Jan O [0000-0002-2798-3794]
dc.identifier.eissn1546-1696
pubs.funder-project-idEuropean Molecular Biology Organization (EMBO) (ALTF 755-2014)
pubs.funder-project-idEC | European Research Council (ERC) (336045)
pubs.funder-project-idEuropean Commission (EC) (739563)
cam.issuedOnline2020-02-05


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