Your browser doesn't support javascript.
loading
A user guide for the online exploration and visualization of PCAWG data.
Goldman, Mary J; Zhang, Junjun; Fonseca, Nuno A; Cortés-Ciriano, Isidro; Xiang, Qian; Craft, Brian; Piñeiro-Yáñez, Elena; O'Connor, Brian D; Bazant, Wojciech; Barrera, Elisabet; Muñoz-Pomer, Alfonso; Petryszak, Robert; Füllgrabe, Anja; Al-Shahrour, Fatima; Keays, Maria; Haussler, David; Weinstein, John N; Huber, Wolfgang; Valencia, Alfonso; Park, Peter J; Papatheodorou, Irene; Zhu, Jingchun; Ferretti, Vincent; Vazquez, Miguel.
Afiliação
  • Goldman MJ; UC Santa Cruz Genomics Institute, Santa Cruz, CA, 95064, USA. mary@soe.ucsc.edu.
  • Zhang J; Ontario Institute for Cancer Research, Toronto, ON, M5G 0A3, Canada.
  • Fonseca NA; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, CB10 1SD, UK.
  • Cortés-Ciriano I; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Xiang Q; Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.
  • Craft B; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
  • Piñeiro-Yáñez E; Ontario Institute for Cancer Research, Toronto, ON, M5G 0A3, Canada.
  • O'Connor BD; UC Santa Cruz Genomics Institute, Santa Cruz, CA, 95064, USA.
  • Bazant W; Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), 28029, Madrid, Spain.
  • Barrera E; Data Sciences Platform, Broad Institute, Cambridge, MA, USA.
  • Muñoz-Pomer A; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, CB10 1SD, UK.
  • Petryszak R; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, CB10 1SD, UK.
  • Füllgrabe A; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, CB10 1SD, UK.
  • Al-Shahrour F; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, CB10 1SD, UK.
  • Keays M; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, CB10 1SD, UK.
  • Haussler D; Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), 28029, Madrid, Spain.
  • Weinstein JN; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, CB10 1SD, UK.
  • Huber W; UC Santa Cruz Genomics Institute, Santa Cruz, CA, 95064, USA.
  • Valencia A; Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX, 77030, USA.
  • Park PJ; European Molecular Biology Laboratory, 69117, Heidelberg, Germany.
  • Papatheodorou I; Barcelona Supercomputing Center (BSC), 08034, Barcelona, Spain.
  • Zhu J; ICREA, 08010, Barcelona, Spain.
  • Ferretti V; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Vazquez M; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, CB10 1SD, UK.
Nat Commun ; 11(1): 3400, 2020 07 07.
Article em En | MEDLINE | ID: mdl-32636365
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma Humano / Biologia Computacional / Neoplasias Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma Humano / Biologia Computacional / Neoplasias Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos