Open AccessAn empirical Bayesian framework for somatic mutation detection from cancer genome sequencing data
Author(s) -
Yuichi Shiraishi,
Yusuke Sato,
Kenichi Chiba,
Yusuke Okuno,
Yasunobu Nagata,
Kenichi Yoshida,
Norio Shiba,
Yasuhide Hayashi,
Haruki Kume,
Yukio Homma,
Masashi Sanada,
Seishi Ogawa,
Satoru Miyano
Publication year - 2013
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkt126
Subject(s) - biology , exome sequencing , genetics , exome , computational biology , dna sequencing , mutation , allele frequency , cancer genome sequencing , deep sequencing , germline mutation , somatic cell , genome , allele , gene
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom