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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4513380/ https://ncbi.nlm.nih.gov/pubmed/26206375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0673-2 |
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