Unit

UNIT 13.22 STRAP PTM: Software Tool for Rapid Annotation and Differential Comparison of Protein Post-Translational Modifications

  1. Jean L. Spencer,
  2. Vivek N. Bhatia,
  3. Stephen A. Whelan,
  4. Catherine E. Costello,
  5. Mark E. McComb

Published Online: 12 DEC 2013

DOI: 10.1002/0471250953.bi1322s44

Current Protocols in Bioinformatics

Current Protocols in Bioinformatics

How to Cite

Spencer, J. L., Bhatia, V. N., Whelan, S. A., Costello, C. E. and McComb, M. E. 2013. STRAP PTM: Software Tool for Rapid Annotation and Differential Comparison of Protein Post-Translational Modifications. Current Protocols in Bioinformatics. 13:13.22:13.22.1–13.22.36.

Author Information

  1. Cardiovascular Proteomics Center, Boston University School of Medicine, Boston, Massachusetts

Publication History

  1. Published Online: 12 DEC 2013

Abstract

The identification of protein post-translational modifications (PTMs) is an increasingly important component of proteomics and biomarker discovery, but very few tools exist for performing fast and easy characterization of global PTM changes and differential comparison of PTMs across groups of data obtained from liquid chromatography–tandem mass spectrometry experiments. STRAP PTM (Software Tool for Rapid Annotation of Proteins: Post-Translational Modification edition) is a program that was developed to facilitate the characterization of PTMs using spectral counting and a novel scoring algorithm to accelerate the identification of differential PTMs from complex data sets. The software facilitates multi-sample comparison by collating, scoring, and ranking PTMs, and by summarizing data visually. The freely available software (beta release) installs on a PC and processes data in protXML format obtained from files parsed through the Trans-Proteomic Pipeline. The easy-to-use interface allows examination of results at protein, peptide, and PTM levels, and the overall design offers tremendous flexibility that provides proteomics insight beyond simple assignment and counting. Curr. Protoc. Bioinform. 44:13.22.1-13.22.36. © 2013 by John Wiley & Sons, Inc.

Keywords:

  • post-translational modifications;
  • PTMs;
  • proteomics;
  • mass spectrometry;
  • spectral counting;
  • software;
  • biomarkers