STEPP 1.0 – SVM Technique for Evaluating Proteotypic Peptides

STEPP 1.0

:: DESCRIPTION

STEPP is a support vector machine (SVM) model that uses a simple descriptor space based on 35 properties of amino acid content, charge, hydrophilicity and polarity for the quantitative prediction of proteotypic peptides.

::DEVELOPER

Computational Biology & Bioinformatics, Pacific Northwest National Laboratory

:: SCREENSHOTS

STEPP

:: REQUIREMENTS

  • Windows/ MacOsX
  • JAVA 

:: DOWNLOAD

 STEPP

:: MORE INFORMATION

Citation

Bioinformatics. 2010 Jul 1;26(13):1677-83.
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics.
Webb-Robertson BJ, Cannon WR, Oehmen CS, Shah AR, Gurumoorthi V, Lipton MS, Waters KM.