2026-07-22T20:06:23Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/107442024-11-29T16:15:12Zcom_20.500.12105_2173com_20.500.12105_2051col_20.500.12105_19597
Repisalud
author
Goldman, Mary J
author
Zhang, Junjun
author
Fonseca, Nuno A
author
Cortés-Ciriano, Isidro
author
Xiang, Qian
author
Craft, Brian
author
Piñeiro-Yáñez, Elena
author
O'Connor, Brian D
author
Bazant, Wojciech
author
Barrera, Elisabet
author
Muñoz-Pomer, Alfonso
author
Petryszak, Robert
author
Füllgrabe, Anja
author
Al-Shahrour, Fatima
author
Keays, Maria
author
Haussler, David
author
Weinstein, John N
author
Huber, Wolfgang
author
Valencia, Alfonso
author
Park, Peter J
author
Papatheodorou, Irene
author
Zhu, Jingchun
author
Ferretti, Vincent
author
Vazquez, Miguel
funder
Unión Europea
funder
Unión Europea. Comisión Europea. European Research Council (ERC)
funder
European Molecular Biology Laboratory
funder
NIH - National Cancer Institute (NCI) (Estados Unidos)
2020-07-13T11:12:42Z
2020-07-13T11:12:42Z
2020-07-07
Nat Commun. 2020;11(1):3400.
10.1038/s41467-020-16785-6
2041-1723
Nature communications
32636365
http://hdl.handle.net/20.500.12105/10744
The 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.
eng
A user guide for the online exploration and visualization of PCAWG data.
journal article
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Auserguidefortheonline_2020.pdf.txt