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The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized-A New Paradigm in Large-Scale Computational Research.
Lau, Jessica W; Lehnert, Erik; Sethi, Anurag; Malhotra, Raunaq; Kaushik, Gaurav; Onder, Zeynep; Groves-Kirkby, Nick; Mihajlovic, Aleksandar; DiGiovanna, Jack; Srdic, Mladen; Bajcic, Dragan; Radenkovic, Jelena; Mladenovic, Vladimir; Krstanovic, Damir; Arsenijevic, Vladan; Klisic, Djordje; Mitrovic, Milan; Bogicevic, Igor; Kural, Deniz; Davis-Dusenbery, Brandi.
Afiliação
  • Lau JW; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Lehnert E; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Sethi A; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Malhotra R; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Kaushik G; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Onder Z; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Groves-Kirkby N; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Mihajlovic A; Seven Bridges Genomics, Cambridge, Massachusetts.
  • DiGiovanna J; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Srdic M; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Bajcic D; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Radenkovic J; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Mladenovic V; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Krstanovic D; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Arsenijevic V; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Klisic D; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Mitrovic M; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Bogicevic I; Seven Bridges Genomics, Cambridge, Massachusetts.
  • Kural D; Seven Bridges Genomics, Cambridge, Massachusetts.
Cancer Res ; 77(21): e3-e6, 2017 11 01.
Article em En | MEDLINE | ID: mdl-29092927
ABSTRACT
The Seven Bridges Cancer Genomics Cloud (CGC; www.cancergenomicscloud.org) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including The Cancer Genome Atlas. It provides secure on-demand access to data, analysis tools, and computing resources. Researchers from diverse backgrounds can easily visualize, query, and explore cancer genomic datasets visually or programmatically. Data of interest can be immediately analyzed in the cloud using more than 200 preinstalled, curated bioinformatics tools and workflows. Researchers can also extend the functionality of the platform by adding their own data and tools via an intuitive software development kit. By colocalizing these resources in the cloud, the CGC enables scalable, reproducible analyses. Researchers worldwide can use the CGC to investigate key questions in cancer genomics. Cancer Res; 77(21); e3-6. ©2017 AACR.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article