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

Nucleic Acids Research

Volumn 41, Issue 7, 2013, Pages

  Shiraishi, Yuichi ^a   Sato, Yusuke ^b   Chiba, Kenichi ^a   Okuno, Yusuke ^b   Nagata, Yasunobu ^b   Yoshida, Kenichi ^b   Shiba, Norio ^b,c   Hayashi, Yasuhide ^c   Kume, Haruki ^b   Homma, Yukio ^b   Sanada, Masashi ^b   Ogawa, Seishi ^b   Miyano, Satoru ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

^c Gumna Children S Medical Center   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALLELE; ARTICLE; BAYES THEOREM; CANCER GENETICS; CONTROLLED STUDY; EMPIRICAL BAYESIAN MUTATION CALLING; ERROR; EXOME; GENE FREQUENCY; GENE SEQUENCE; HIGH THROUGHPUT SEQUENCING; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; PRIORITY JOURNAL; SOMATIC MUTATION;

ALGORITHMS; BAYES THEOREM; DNA MUTATIONAL ANALYSIS; GENE FREQUENCY; GENOMICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; NEOPLASMS;

EID: 84876588616     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkt126     Document Type: Article

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