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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
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 |
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