Cargando…
EFIN: predicting the functional impact of nonsynonymous single nucleotide polymorphisms in human genome
BACKGROUND: Predicting the functional impact of amino acid substitutions (AAS) caused by nonsynonymous single nucleotide polymorphisms (nsSNPs) is becoming increasingly important as more and more novel variants are being discovered. Bioinformatics analysis is essential to predict potentially causal...
Autores principales: | Zeng, Shuai, Yang, Jing, Chung, Brian Hon-Yin, Lau, Yu Lung, Yang, Wanling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061446/ https://www.ncbi.nlm.nih.gov/pubmed/24916671 http://dx.doi.org/10.1186/1471-2164-15-455 |
Ejemplares similares
-
Prediction of Deleterious Nonsynonymous Single-Nucleotide Polymorphism for Human Diseases
por: Wu, Jiaxin, et al.
Publicado: (2013) -
Phenotype Prediction of Pathogenic Nonsynonymous Single Nucleotide Polymorphisms in WFS1
por: Qian, Xuli, et al.
Publicado: (2015) -
Genome bioinformatic analysis of nonsynonymous SNPs
por: Burke, David F, et al.
Publicado: (2007) -
nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms
por: Bao, Lei, et al.
Publicado: (2005) -
Risk prediction and marker selection in nonsynonymous single nucleotide polymorphisms using whole genome sequencing data
por: Lee, Young-Sup, et al.
Publicado: (2020)