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dc.contributor.authorGoldman, Mary J.
dc.contributor.authorZhang, Junjun
dc.contributor.authorFonseca, Nuno A.
dc.contributor.authorCortés-Ciriano, Isidro
dc.contributor.authorXiang, Qian
dc.contributor.authorCraft, Brian
dc.contributor.authorPiñeiro-Yáñez, Elena
dc.contributor.authorO’Connor, Brian D.
dc.contributor.authorBazant, Wojciech
dc.contributor.authorBarrera, Elisabet
dc.contributor.authorMuñoz-Pomer, Alfonso
dc.contributor.authorPetryszak, Robert
dc.contributor.authorFüllgrabe, Anja
dc.contributor.authorAl-Shahrour, Fatima
dc.contributor.authorKeays, Maria
dc.contributor.authorHaussler, David
dc.contributor.authorWeinstein, John N.
dc.contributor.authorHuber, Wolfgang
dc.contributor.authorValencia, Alfonso
dc.contributor.authorPark, Peter J.
dc.contributor.authorPapatheodorou, Irene
dc.contributor.authorZhu, Jingchun
dc.contributor.authorFerretti, Vincent
dc.contributor.authorVazquez Garcia, Miguel
dc.date.accessioned2022-05-05T14:36:31Z
dc.date.available2022-05-05T14:36:31Z
dc.date.created2020-12-16T15:32:28Z
dc.date.issued2020
dc.identifier.citationNature Communications. 2020, 11 .en_US
dc.identifier.issn2041-1723
dc.identifier.urihttps://hdl.handle.net/11250/2994416
dc.description.abstractThe Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome cancer sequencing resource data. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor types, we provide a user’s guide to the five publicly available online data exploration and visualization tools introduced in the PCAWG marker paper. These tools are ICGC Data Portal, UCSC Xena, Chromothripsis Explorer, Expression Atlas, and PCAWG-Scout. We detail use cases and analyses for each tool, show how they incorporate outside resources from the larger genomics ecosystem, and demonstrate how the tools can be used together to understand the biology of cancers more deeply. Together, the tools enable researchers to query the complex genomic PCAWG data dynamically and integrate external information, enabling and enhancing interpretation.en_US
dc.language.isoengen_US
dc.publisherNature Researchen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA user guide for the online exploration and visualization of PCAWG dataen_US
dc.title.alternativeA user guide for the online exploration and visualization of PCAWG dataen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber9en_US
dc.source.volume11en_US
dc.source.journalNature Communicationsen_US
dc.identifier.doi10.1038/s41467-020-16785-6
dc.identifier.cristin1860639
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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