Detecting outlier peptides in quantitative high-throughput mass spectrometry data.

Florian Erhard1, Ralf Zimmer

  • 1Institut für Informatik, Ludwig-Maximilians-Universität München, Amalienstraße 17, Munich, Germany. Florian.Erhard@bio.ifi.lmu.de

Journal of Proteomics
|April 10, 2012
PubMed
Summary

This study introduces a new method to identify outlier peptides in mass spectrometry data, distinguishing technical errors from real biological variations. This improves the accuracy of quantitative proteomics and aids in discovering differentially regulated protein isoforms.