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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/172342
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dc.contributor.authorPCAWG Technical Working Group-
dc.contributor.authorPCAWG Consortium-
dc.contributor.authorGelpí Buchaca, Josep Lluís-
dc.date.accessioned2020-11-26T12:38:38Z-
dc.date.available2020-11-26T12:38:38Z-
dc.date.issued2020-02-05-
dc.identifier.issn1087-0156-
dc.identifier.urihttps://hdl.handle.net/2445/172342-
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.format.extent5 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherNature Publishing Group-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1038/s41587-019-0360-3-
dc.relation.ispartofNature Biotechnology, 2020, vol. 38, p. 288-292-
dc.relation.urihttps://doi.org/10.1038/s41587-019-0360-3-
dc.rightscc by (c) Yakneen et al., 2020-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/-
dc.sourceArticles publicats en revistes (Bioquímica i Biomedicina Molecular)-
dc.subject.classificationGenoma humà-
dc.subject.classificationBiologia computacional-
dc.subject.otherHuman genome-
dc.subject.otherComputational biology-
dc.titleButler enables rapid cloud-based analysis of thousands of human genomes-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec695947-
dc.date.updated2020-11-26T12:38:38Z-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/739563/EU//EOSCpilot-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/336045/EU//CHROMOTHRIPSIS-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.pmid32024987-
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