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...
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) |
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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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Subjects: | |
Online Access: | Get fulltext |
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