CHASM is a method that predicts the functional significance of somatic missense mutations observed in the genomes of cancer cells, allowing mutations to be prioritized in subsequent functional studies, based on the probability that they give the cells a selective survival advantage.
- MySQL Server
- Python module MySQLdb
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CHASM and SNVBox: toolkit for detecting biologically important single nucleotide mutations in cancer.
Wong WC, Kim D, Carter H, Diekhans M, Ryan MC, Karchin R.
Bioinformatics. 2011 Aug 1;27(15):2147-8. doi: 10.1093/bioinformatics/btr357. Epub 2011 Jun 17.