Unit
UNIT 13.18 Identification of Peptide Features in Precursor Spectra Using Hardklör and Krönik
Published Online: 1 MAR 2012
DOI: 10.1002/0471250953.bi1318s37
Copyright © 2012 by John Wiley & Sons, Inc.
Lab Protocol Title
Current Protocols in Bioinformatics
Additional Information
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.
Publication History
- Published Online: 1 MAR 2012
- Published Print: MAR 2012
- Abstract
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Abstract
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.
Keywords:
- proteomics;
- mass spectrometry;
- liquid chromatography;
- high resolution;
- feature detection;
- deisotoping;
- peptide isotope distribution
