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

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...

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Detalles Bibliográficos
Autores principales: Shiraishi, Yuichi, Sato, Yusuke, Chiba, Kenichi, Okuno, Yusuke, Nagata, Yasunobu, Yoshida, Kenichi, Shiba, Norio, Hayashi, Yasuhide, Kume, Haruki, Homma, Yukio, Sanada, Masashi, Ogawa, Seishi, Miyano, Satoru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3627598/
https://www.ncbi.nlm.nih.gov/pubmed/23471004
http://dx.doi.org/10.1093/nar/gkt126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3627598/
https://www.ncbi.nlm.nih.gov/pubmed/23471004
http://dx.doi.org/10.1093/nar/gkt126

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