An empirical Bayesian framework for somatic mutation detection from cancer genome sequencing data

@inproceedings{Shiraishi2013AnEB,
  title={An empirical Bayesian framework for somatic mutation detection from cancer genome sequencing data},
  author={Yuichi Shiraishi and Yusuke Sato and Kenichi Chiba and Yusuke Okuno and Yasunobu Nagata and Kenichi Yoshida and Norio Shiba and Yasuhide Hayashi and Haruki Kume and Yukio Homma and Masashi Sanada and Seishi Ogawa and Satoru Miyano},
  booktitle={Nucleic acids research},
  year={2013}
}
Recent advances in high-throughput sequencing technologies have enabled a comprehensive dissection of the cancer genome clarifying a large number of somatic mutations in a wide variety of cancer types. A number of methods have been proposed for mutation calling based on a large amount of sequencing data, which is accomplished in most cases by statistically evaluating the difference in the observed allele frequencies of possible single nucleotide variants between tumours and paired normal… CONTINUE READING
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