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

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 provid...

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Detalles Bibliográficos
Autores principales: Omberg, Larsson, Ellrott, Kyle, Yuan, Yuan, Kandoth, Cyriac, Wong, Chris, Kellen, Michael R, Friend, Stephen H, Stuart, Josh, Liang, Han, Margolin, Adam A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3950337/
https://www.ncbi.nlm.nih.gov/pubmed/24071850
http://dx.doi.org/10.1038/ng.2761
Descripción
Sumario: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.

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