SNPeffect v2.0: a new step in investigating the molecular phenotypic effects of human non-synonymous SNPs

  title={SNPeffect v2.0: a new step in investigating the molecular phenotypic effects of human non-synonymous SNPs},
  author={Joke Reumers and Sebastian Maurer-Stroh and Joost Schymkowitz and Frederic Rousseau},
  volume={22 17},
UNLABELLED Single nucleotide polymorphisms (SNPs) constitute the most fundamental type of genetic variation in human populations. About 75 000 of these reported variations cause an amino acid change in the translated protein. An important goal in genomic research is to understand how this variability affects protein function, and whether or not particular SNPs are associated to disease susceptibility. Accordingly, the SNPeffect database uses sequence- and structure-based bioinformatics tools to… 

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