Hardklör
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Overview

Hardklör is a software application for the analysis of high- resolution mass spectra. It's primary function is the deconvolution and determination of monoisotopic mass and charge state of single and overlapping protein/peptide isotope distributions contained in a mass spectra.

In addition to Hardklör, several auxiliary utilities have been written to facilitate incorporation of Hardklör results into your experiments. Hardklör has been used to identify isotopically labeled species and make comparative quantitative analyses between multiple samples.

Contained within this website is the software, documentation, and examples of use necessary to set-up and run Hardklör from any desktop computer.

News & Updates

July 10, 2008: version 1.22 was release. Minor bugfixes and file format updates. The documentation will be updated in the next week or so. For those who use compressed MS1 and MS2 data from MakeMS2, you will need to download the latest MakeMS2. Existing files converted to those formats will not work with this version.Auxiliary Programs.

January 11, 2008: The tutorial section on the web is completed. Krönik, a tool for identifying the persistent peptide isotope distributions from the Hardklör results was added to the Auxiliary Programs.

October 10, 2007: version 1.10 was released. Adds support for mzXML and compressed MS1 & MS2 files (see MakeMS2 in auxiliary programs). Additional bug fixes were made as well. The need for -txt flag has been removed. Tutorials to come soon.

September 17, 2007: Version 1.03 was released. It contains sensitivity improvements and minor bug fixes. Sensitivity can now be adjusted using the -sl tag. See the documentation for more information.

Publication

Hoopmann MR, Finney GL, MacCoss MJ, High speed data reduction, feature selection, and MS/MS spectrum quality assessment of shotgun proteomics datasets using high resolution mass spectrometry, Anal. Chem., 79, 5630-5632 (2007)

Hardklör is Copyright ©2007 University of Washington. All rights reserved. Written by Michael R. Hoopmann, Michael J. MacCoss, in the Department of Genome Sciences at the University of Washington.