CaVEMan is an SNV expectation maximization-based calling algorithm which can detect some instances of somatic mutations in paired (tumour/normal) samples. Developed by the Cancer Genome Project at the Wellcome Trust Sanger Institute, this project is part of Intel's effort to optimize relevant open source life science applications.
This 01.org project page hosts contributions and patches to CaVEMan.
More information about the algorithm and its potential range of uses can be found at http://cancerit.github.io/CaVEMan.
Source Code https://github.com/cancerit/CaVEMan/