Virmid: accurate detection of somatic mutations with sample impurity inference

@inproceedings{Kim2013VirmidAD,
  title={Virmid: accurate detection of somatic mutations with sample impurity inference},
  author={Sangwoo Kim and Kyowon Jeong and Kunal Bhutani and Jeong Ho Lee and Anand Patel and Eric C. Scott and Hojung Nam and Hayan Lee and Joseph G Gleeson and Vineet Bafna},
  booktitle={Genome Biology},
  year={2013}
}
Detection of somatic variation using sequence from disease-control matched data sets is a critical first step. In many cases including cancer, however, it is hard to isolate pure disease tissue, and the impurity hinders accurate mutation analysis by disrupting overall allele frequencies. Here, we propose a new method, Virmid, that explicitly determines the level of impurity in the sample, and uses it for improved detection of somatic variation. Extensive tests on simulated and real sequencing… CONTINUE READING
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