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The ISB Cancer Genomics Cloud: A Flexible Cloud-Based Platform for Cancer Genomics Research.
Reynolds, Sheila M; Miller, Michael; Lee, Phyliss; Leinonen, Kalle; Paquette, Suzanne M; Rodebaugh, Zack; Hahn, Abigail; Gibbs, David L; Slagel, Joseph; Longabaugh, William J; Dhankani, Varsha; Reyes, Madelyn; Pihl, Todd; Backus, Mark; Bookman, Matthew; Deflaux, Nicole; Bingham, Jonathan; Pot, David; Shmulevich, Ilya.
Afiliação
  • Reynolds SM; Institute for Systems Biology, Seattle, Washington. sreynolds@systemsbiology.org ilya.shmulevich@systemsbiology.org.
  • Miller M; Institute for Systems Biology, Seattle, Washington.
  • Lee P; Institute for Systems Biology, Seattle, Washington.
  • Leinonen K; Institute for Systems Biology, Seattle, Washington.
  • Paquette SM; Institute for Systems Biology, Seattle, Washington.
  • Rodebaugh Z; Institute for Systems Biology, Seattle, Washington.
  • Hahn A; Institute for Systems Biology, Seattle, Washington.
  • Gibbs DL; Institute for Systems Biology, Seattle, Washington.
  • Slagel J; Institute for Systems Biology, Seattle, Washington.
  • Longabaugh WJ; Institute for Systems Biology, Seattle, Washington.
  • Dhankani V; Institute for Systems Biology, Seattle, Washington.
  • Reyes M; CSRA Inc., Falls Church, Virginia.
  • Pihl T; CSRA Inc., Falls Church, Virginia.
  • Backus M; CSRA Inc., Falls Church, Virginia.
  • Bookman M; Google, Mountain View, California.
  • Deflaux N; Verily Life Sciences, South San Francisco, California.
  • Bingham J; Google, Mountain View, California.
  • Pot D; Verily Life Sciences, South San Francisco, California.
  • Shmulevich I; Google, Mountain View, California.
Cancer Res ; 77(21): e7-e10, 2017 11 01.
Article em En | MEDLINE | ID: mdl-29092928
ABSTRACT
The ISB Cancer Genomics Cloud (ISB-CGC) is one of three pilot projects funded by the National Cancer Institute to explore new approaches to computing on large cancer datasets in a cloud environment. With a focus on Data as a Service, the ISB-CGC offers multiple avenues for accessing and analyzing The Cancer Genome Atlas, TARGET, and other important references such as GENCODE and COSMIC using the Google Cloud Platform. The open approach allows researchers to choose approaches best suited to the task at hand from analyzing terabytes of data using complex workflows to developing new analysis methods in common languages such as Python, R, and SQL; to using an interactive web application to create synthetic patient cohorts and to explore the wealth of available genomic data. Links to resources and documentation can be found at www.isb-cgc.org Cancer Res; 77(21); e7-10. ©2017 AACR.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica / Computação em Nuvem / Neoplasias Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Cancer Res Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica / Computação em Nuvem / Neoplasias Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Cancer Res Ano de publicação: 2017 Tipo de documento: Article