Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection-Reference-Cited by-同舟云学术

Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection

Published:2015-05-18 Issue:7 Volume:12 Page:623-630
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Ewing Adam D, ,Houlahan Kathleen E,Hu Yin,Ellrott Kyle,Caloian Cristian,Yamaguchi Takafumi N^ORCID,Bare J Christopher^ORCID,P'ng Christine,Waggott Daryl,Sabelnykova Veronica Y,Kellen Michael R^ORCID,Norman Thea C,Haussler David,Friend Stephen H,Stolovitzky Gustavo,Margolin Adam A,Stuart Joshua M,Boutros Paul C^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

Link

http://www.nature.com/articles/nmeth.3407.pdf

Reference40 articles.

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5. Tran, B. et al. Feasibility of real time next generation sequencing of cancer genes linked to drug response: results from a clinical trial. Int. J. Cancer 132, 1547–1555 (2013).

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