OncodriveCLUST: exploiting the positional clustering of somatic mutations to identify cancer genes | Zendy

David Tamborero | Zendy; Abel González-Pérez | Zendy; Núria López-Bigas | Zendy

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OncodriveCLUST: exploiting the positional clustering of somatic mutations to identify cancer genes

Author(s) -

David Tamborero,

Abel González-Pérez,

Núria López-Bigas

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt395

Subject(s) - gene , biology , computational biology , genetics , cluster analysis , somatic cell , mutation , genome , phenotype , germline mutation , cancer , computer science , machine learning

Gain-of-function mutations often cluster in specific protein regions, a signal that those mutations provide an adaptive advantage to cancer cells and consequently are positively selected during clonal evolution of tumours. We sought to determine the overall extent of this feature in cancer and the possibility to use this feature to identify drivers.

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