Feature-based classifiers for somatic mutation detection in tumour–normal paired sequencing data

@inproceedings{Ding2012FeaturebasedCF,
  title={Feature-based classifiers for somatic mutation detection in tumour–normal paired sequencing data},
  author={Jiarui Ding and Ali Bashashati and Andrew Roth and Arusha Oloumi and Kane Tse and Thomas Zeng and Gholamreza Haffari and Martin Hirst and Marco A. Marra and Anne Condon and Sam Aparicio and Sohrab P. Shah},
  booktitle={Bioinformatics},
  year={2012}
}
MOTIVATION The study of cancer genomes now routinely involves using next-generation sequencing technology (NGS) to profile tumours for single nucleotide variant (SNV) somatic mutations. However, surprisingly few published bioinformatics methods exist for the specific purpose of identifying somatic mutations from NGS data and existing tools are often inaccurate, yielding intolerably high false prediction rates. As such, the computational problem of accurately inferring somatic mutations from… CONTINUE READING
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