Your browser doesn't support javascript.
loading
Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome Atlas.
Omberg, Larsson; Ellrott, Kyle; Yuan, Yuan; Kandoth, Cyriac; Wong, Chris; Kellen, Michael R; Friend, Stephen H; Stuart, Josh; Liang, Han; Margolin, Adam A.
Affiliation
  • Omberg L; 1] Sage Bionetworks, Seattle, Washington, USA. [2].
Nat Genet ; 45(10): 1121-6, 2013 Oct.
Article in En | MEDLINE | ID: mdl-24071850
ABSTRACT
The Cancer Genome Atlas Pan-Cancer Analysis Working Group collaborated on the Synapse software platform to share and evolve data, results and methodologies while performing integrative analysis of molecular profiling data from 12 tumor types. The group's work serves as a pilot case study that provides (i) a template for future large collaborative studies; (ii) a system to support collaborative projects; and (iii) a public resource of highly curated data, results and automated systems for the evaluation of community-developed models.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome / Cooperative Behavior / Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2013 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome / Cooperative Behavior / Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2013 Document type: Article