MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing

We have developed a novel machine-learning approach, MutPred Splice, for the identification of coding region substitutions that disrupt pre-mRNA splicing. Applying MutPred Splice to human disease-causing exonic mutations suggests that 16% of mutations causing inherited disease and 10 to 14% of somat...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Main Authors: Mort, Matthew, Sterne-Weiler, Timothy, Li, Biao, Ball, Edward V, Cooper, David N, Radivojac, Predrag, Sanford, Jeremy R, Mooney, Sean D
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2014
Assuntos:
Software
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4054890/
https://ncbi.nlm.nih.gov/pubmed/24451234
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2014-15-1-r19
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados