Comprehensive assessment of cancer missense mutation clustering in protein structures

Comprehensive assessment of cancer missense mutation clustering in protein structures

Large-scale tumor sequencing projects enabled the identification of many new cancer gene candidates through computational approaches. Here, we describe a general method to detect cancer genes based on significant 3D clustering of mutations relative to the structure of the encoded protein products. T...

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Bibliographic Details
Main Authors: Kamburov, Atanas (Author), Polak, Paz (Author), Lage, Kasper (Author), Lawrence, Michael (Contributor), Leshchiner, Ignaty (Contributor), Golub, Todd (Contributor), Lander, Eric Steven (Contributor), Getz, Gad Asher (Contributor)
Other Authors: Broad Institute of MIT and Harvard (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Chemical Engineering (Contributor)
Format: Article
Language:English
Published: National Academy of Sciences (U.S.), 2018-05-09T20:07:20Z.
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