SilVA 1.1.1 – Silent Variant Analysis using random Forests

SilVA 1.1.1

:: DESCRIPTION

SilVA (Latin for “forest”) is a tool for the automated harmfulness prediction of synonymous (silent) mutations within the human genome. SilVA bases its predictions on a number of features, including conservation, codon usage, splice sites, splicing enhancers and suppressors, and mRNA folding free energy. Given variants in a VCF file, SilVA will rank the rare synonymous variants according to their predicted harmfulness.

::DEVELOPER

Orion Buske and Michael Brudno

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux
  • Perl
  • Python
  • R package

:: DOWNLOAD

 SilVA

:: MORE INFORMATION

Citation

Bioinformatics. 2013 Aug 1;29(15):1843-50. doi: 10.1093/bioinformatics/btt308.
Identification of deleterious synonymous variants in human genomes.
Buske OJ, Manickaraj A, Mital S, Ray PN, Brudno M.