Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 57,349 bioRxiv papers from 264,093 authors.
Large-Scale Uniform Analysis of Cancer Whole Genomes in Multiple Computing Environments
Christina K. Yung,
Brian D. O'Connor,
Keiran M. Raine,
Gordon B. Saksena,
Solomon I. Shorser,
Adam P Butler,
Brandi N. Davis-Dusenbery,
Robert L Grossman,
Steven J. Newhouse,
Lincoln D. Stein,
- PCAWG Technical Working Group
Posted 10 Jul 2017
bioRxiv DOI: 10.1101/161638
Posted 10 Jul 2017
The International Cancer Genome Consortium (ICGC)'s Pan-Cancer Analysis of Whole Genomes (PCAWG) project aimed to categorize somatic and germline variations in both coding and non-coding regions in over 2,800 cancer patients. To provide this dataset to the research working groups for downstream analysis, the PCAWG Technical Working Group marshalled ~800TB of sequencing data from distributed geographical locations; developed portable software for uniform alignment, variant calling, artifact filtering and variant merging; performed the analysis in a geographically and technologically disparate collection of compute environments; and disseminated high-quality validated consensus variants to the working groups. The PCAWG dataset has been mirrored to multiple repositories and can be located using the ICGC Data Portal. The PCAWG workflows are also available as Docker images through Dockstore enabling researchers to replicate our analysis on their own data.
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