Article
GESPA: classifying nsSNPs to predict disease association.
BMC bioinformatics - 25 Jul 2015
Khurana Jay K, Reeder Jay E, Shrimpton Antony E, Thakar Juilee
Abstract excerpt
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 studies or by functional analysis in the laboratory, both of which are expensive and time consuming. Existing...
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