Valection: design optimization for validation and verification studies-Reference-Cited by-同舟云学术

Valection: design optimization for validation and verification studies

Published:2018-09-25 Issue:1 Volume:19 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Cooper Christopher I, ,Yao Delia,Sendorek Dorota H,Yamaguchi Takafumi N,P’ng Christine,Houlahan Kathleen E,Caloian Cristian,Fraser Michael,Ellrott Kyle,Margolin Adam A,Bristow Robert G,Stuart Joshua M,Boutros Paul C

Funder

Ontario Institute for Cancer Research

Prostate Cancer Canada

Movember Foundation

Terry Fox Research Institute

Canadian Institutes of Health Research

Genome Canada

Natural Sciences and Engineering Research Council of Canada

Canada Foundation for Innovation

National Cancer Institute

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-018-2391-z.pdf

Reference26 articles.

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4. Ewing AD, Houlahan KE, Hu Y, Ellrott K, Caloian C, Yamaguchi TN, Bare JC, P'ng C, Waggott D, Sabelnykova VY, ICGC-TCGA DREAM Somatic Mutation Calling Challenge participants, Kellen MR, Norman TC, Haussler D, Friend SH, Stolovitzky G, Margolin AA, Stuart JM, Boutros PC. Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection. Nat Methods. 2015;12(7):623–30.

5. Hofmann AL, Behr J, Singer J, Kuipers J, Beisel C, Schraml P, Moch H, Beerenwinkel N. Detailed simulation of cancer exome sequencing data reveals differences common limitations of variant callers. BMC Bioinformatics. 2017;18(1):8. https://doi.org/10.1186/s12859-016-1417-7 .

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