Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome Atlas

Larsson Omberg and colleagues write a Commentary describing the collaborative model used by the Pan-Cancer Working Group of The Cancer Genome Atlas. Pan-Cancer members used the Synapse software platform to share and evolve data, results and methods to perform integrative analyses of genome-wide molecular data for 12 cancer types. 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.

• Publication year

  2013

• Venue

  Nature Genetics

• Publication date

  2013-09-26

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1038/ng.2761PMID 24071850PMCID 3950337
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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