@article{a17e082dfa5c48488e0b2d1f7f13a293,
title = "Enabling transparent and collaborative computational analysis of 12 tumor types within the Cancer Genome Atlas",
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.",
author = "Larsson Omberg and Kyle Ellrott and Yuan Yuan and Cyriac Kandoth and Chris Wong and Kellen, {Michael R.} and Friend, {Stephen H.} and Josh Stuart and Han Liang and Margolin, {Adam A.}",
note = "Funding Information: We gratefully acknowledge contributions from the TCGA Research Network and its TCGA Pan-Cancer Analysis Working Group (contributing consortium members are listed in the Supplementary Note). We thank J. Wilbanks for discussions on the benefits of open systems. We thank the Synapse development team for building Synapse and providing technical support. We thank the anonymous reviewers for helping us improve the quality of this work through many insightful comments. This work was funded by US National Institutes of Health/National Cancer Institute grant 5U54CA149237.",
year = "2013",
month = oct,
doi = "10.1038/ng.2761",
language = "English (US)",
volume = "45",
pages = "1121--1126",
journal = "Nature Genetics",
issn = "1061-4036",
publisher = "Nature Publishing Group",
number = "10",
}