GESPA: classifying nsSNPs to predict disease association

BACKGROUND: Non-synonymous single nucleotide polymorphisms (nsSNPs) are the most common DNA sequence variation associated with disease in humans. Thus determining the clinical significance of each nsSNP is of great importance. Potential detrimental nsSNPs may be identified by genetic association stu...

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Detalles Bibliográficos
Autores principales: Khurana, Jay K., Reeder, Jay E., Shrimpton, Antony E., Thakar, Juilee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513380/
https://www.ncbi.nlm.nih.gov/pubmed/26206375
http://dx.doi.org/10.1186/s12859-015-0673-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513380/
https://www.ncbi.nlm.nih.gov/pubmed/26206375
http://dx.doi.org/10.1186/s12859-015-0673-2

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