Assessment of computational methods for predicting the effects of missense mutations in human cancers

BACKGROUND: Recent advances in sequencing technologies have greatly increased the identification of mutations in cancer genomes. However, it remains a significant challenge to identify cancer-driving mutations, since most observed missense changes are neutral passenger mutations. Various computation...

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Detalles Bibliográficos
Autores principales: Gnad, Florian, Baucom, Albion, Mukhyala, Kiran, Manning, Gerard, Zhang, Zemin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665581/
https://www.ncbi.nlm.nih.gov/pubmed/23819521
http://dx.doi.org/10.1186/1471-2164-14-S3-S7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665581/
https://www.ncbi.nlm.nih.gov/pubmed/23819521
http://dx.doi.org/10.1186/1471-2164-14-S3-S7

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