UNIT 13.18 Identification of Peptide Features in Precursor Spectra Using Hardklör and Krönik

  1. Michael R. Hoopmann1,
  2. Michael J. MacCoss2,
  3. Robert L. Moritz1

Published Online: 1 MAR 2012

DOI: 10.1002/0471250953.bi1318s37

Current Protocols in Bioinformatics

Current Protocols in Bioinformatics

How to Cite

Hoopmann, M. R., MacCoss, M. J. and Moritz, R. L. 2012. Identification of Peptide Features in Precursor Spectra Using Hardklör and Krönik. Current Protocols in Bioinformatics. 37:13.18:13.18.1–13.18.13.

Author Information

  1. 1

    Institute for Systems Biology, Seattle, Washington

  2. 2

    University of Washington, Seattle, Washington

Publication History

  1. Published Online: 1 MAR 2012
  2. Published Print: MAR 2012


Hardklör and Krönik are software tools for feature detection and data reduction of high-resolution mass spectra. Hardklör is used to reduce peptide isotope distributions to a single monoisotopic mass and charge state, and can deconvolve overlapping peptide isotope distributions. Krönik filters, validates, and summarizes peptide features identified with Hardklör from data obtained during liquid chromatography mass spectrometry (LC-MS). Both software tools contain a simple user interface and can be run from nearly any desktop computer. These tools are freely available from http://proteome.gs.washington.edu/software/hardklor. Curr. Protoc. Bioinform. 37:13.18.1-13.18.13. © 2012 by John Wiley & Sons, Inc.


  • proteomics;
  • mass spectrometry;
  • liquid chromatography;
  • high resolution;
  • feature detection;
  • deisotoping;
  • peptide isotope distribution