Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations

BACKGROUND: Massively parallel sequencing studies have led to the identification of a large number of mutations present in a minority of cancers of a given site. Hence, methods to identify the likely pathogenic mutations that are worth exploring experimentally and clinically are required. We sought...

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Detalles Bibliográficos
Autores principales: Martelotto, Luciano G, Ng, Charlotte KY, De Filippo, Maria R, Zhang, Yan, Piscuoglio, Salvatore, Lim, Raymond S, Shen, Ronglai, Norton, Larry, Reis-Filho, Jorge S, Weigelt, Britta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232638/
https://www.ncbi.nlm.nih.gov/pubmed/25348012
http://dx.doi.org/10.1186/s13059-014-0484-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232638/
https://www.ncbi.nlm.nih.gov/pubmed/25348012
http://dx.doi.org/10.1186/s13059-014-0484-1

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