Online resources for PCAWG data exploration, visualization, and discovery

• Type: Other Publications
• Date: 2017

Authors

Goldman, M (Author) Other; Zhang, J (Author) Other; Nuno A Fonseca (Author) Other; Xiang, Q (Author) Other; Craft, B (Author) Other; Piñeiro-Yáñez, E (Author) Other; O'Connor, B (Author) Other; Bazant, W (Author) Other; Barrera, E (Author) Other; Muñoz, A (Author) Other; Petryszak, R (Author) Other; Füllgrabe, A (Author) Other; Al-Shahrour, F (Author) Other; Keays, M (Author) Other; Haussler, D (Author) Other; Weinstein, J (Author) Other; Huber, W (Author) Other; Valencia, A (Author) Other; Papatheodorou, I (Author) Other; Zhu, J (Author) Other; Ferreti, V (Author) Other; Vazquez, M (Author) Other; PCAWG-12 Working Group, (Author) Other; PCAWG Network, (Author) Other

Other information

Authenticus ID: P-00N-9Q3

DOI: 10.1101/163907

Abstract (EN): <jats:p>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.</jats:p>

Language: English

Type (Professor's evaluation): Scientific