RT Journal Article
SR Electronic
T1 Online resources for PCAWG data exploration, visualization, and discovery
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 163907
DO 10.1101/163907
A1 Mary Goldman
A1 Junjun Zhang
A1 Nuno A. Fonseca
A1 Qian Xiang
A1 Brian Craft
A1 Elena Pineiro
A1 Brian D O’Connor
A1 Wojciech Bazant
A1 Elisabet Barrera
A1 Alfonso Muñoz
A1 Robert Petryszak
A1 Anja Füllgrabe
A1 Fatima Al-Shahrour
A1 Maria Keays
A1 David Haussler
A1 John N. Weinstein
A1 Wolfgang Huber
A1 Alfonso Valencia
A1 Irene Papatheodorou
A1 Jingchun Zhu
A1 Vincent Ferreti
A1 Miguel Vazquez
A1 on behalf of the PCAWG Portals and Visualization Working Group, and the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Network
YR 2017
UL http://biorxiv.org/content/early/2017/10/20/163907.abstract
AB The Pan-Cancer Analysis of Whole Genomes (PCAWG) cohort provides a large, uniformly-analyzed, whole-genome dataset. The PCAWG Landing Page (http://docs.icgc.org/pcawg) focuses on four biologist-friendly, publicly-available web tools for exploring this data: The ICGC Data Portal, UCSC Xena, Expression Atlas, and PCAWG-Scout. They enable researchers to dynamically query the complex genomics data, explore tumors’ molecular landscapes, and include external information to facilitate interpretation.