CHASM 3.0 / CHASMplus 1.0
:: DESCRIPTION
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.
CHASMplus is a machine learning method that accurately distinguishes between driver and passenger missense mutations, even for those found at low frequencies or are cancer type-specific.
::DEVELOPER
:: SCREENSHOTS
N/A
::REQUIREMENTS
- Linux
- MySQL Server
- Python module MySQLdb
:: DOWNLOAD
:: MORE INFORMATION
Citation
Tokheim C, Karchin R.
CHASMplus Reveals the Scope of Somatic Missense Mutations Driving Human Cancers.
Cell Syst. 2019 Jul 24;9(1):9-23.e8. doi: 10.1016/j.cels.2019.05.005. Epub 2019 Jun 12. PMID: 31202631; PMCID: PMC6857794.
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.