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

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

The detection of somatic mutations from cancer genome sequences is key to understanding the genetic basis of disease progression, patient survival and response to therapy. Benchmarking is needed for tool assessment and improvement but is complicated by a lack of gold standards, by extensive resource...

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Bibliographic Details
Main Authors: Ewing, Adam D, Houlahan, Kathleen E, Hu, Yin, Ellrott, Kyle, Caloian, Cristian, Yamaguchi, Takafumi N, Bare, J Christopher, P’ng, Christine, Waggott, Daryl, Sabelnykova, Veronica Y, Kellen, Michael R, Norman, Thea C, Haussler, David, Friend, Stephen H, Stolovitzky, Gustavo, Margolin, Adam A, Stuart, Joshua M, Boutros, Paul C
Format: Online
Language:English
Published: 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856034/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856034/

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