Integrating Multiple Genomic Data to Predict Disease-Causing Nonsynonymous Single Nucleotide Variants in Exome Sequencing Studies

Exome sequencing has been widely used in detecting pathogenic nonsynonymous single nucleotide variants (SNVs) for human inherited diseases. However, traditional statistical genetics methods are ineffective in analyzing exome sequencing data, due to such facts as the large number of sequenced variant...

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Detalles Bibliográficos
Autores principales: Wu, Jiaxin, Li, Yanda, Jiang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3961190/
https://www.ncbi.nlm.nih.gov/pubmed/24651380
http://dx.doi.org/10.1371/journal.pgen.1004237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3961190/
https://www.ncbi.nlm.nih.gov/pubmed/24651380
http://dx.doi.org/10.1371/journal.pgen.1004237

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