Article
Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects.
Bioinformatics (Oxford, England) - 15 Jun 2016
Raimondi Daniele, Gazzo Andrea M, Rooman Marianne, Lenaerts Tom, Vranken Wim F
Abstract excerpt
MOTIVATION: There are now many predictors capable of identifying the likely phenotypic effects of single nucleotide variants (SNVs) or short in-frame Insertions or Deletions (INDELs) on the increasing amount of genome sequence data. Most of these predictors focus on SNVs and use a combination of features related to sequence conservation, biophysical, and/or structural properties to link the observed variant to...
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