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...

Descripció completa

Guardat en:
Dades bibliogràfiques
Publicat a:Genome Biol
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2014
Matèries:
Research
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4232638/
https://ncbi.nlm.nih.gov/pubmed/25348012
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-014-0484-1
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars