Journal Article

StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry

Bas van Breukelen, Henk W. P. van den Toorn, Madalina M. Drugan and Albert J. R. Heck

in Bioinformatics

Volume 25, issue 11, pages 1472-1473
Published in print June 2009 | ISSN: 1367-4803
Published online March 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp181
StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry

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Motivation: Mass spectrometric protein quantitation has emerged as a high-throughput tool to yield large amounts of data on peptide and protein abundances. Currently, differential abundance data can be calculated from peptide intensity ratios by several automated quantitation software packages available. There is, however, still a great need for additional processing to validate and refine the quantitation results. Here, we present a software tool, termed StatQuant, that offers a set of statistical tools to process, filter, compare and represent data from several quantitative proteomics software packages such as MSQuant. StatQuant offers the researcher post-processing methods to achieve improved confidence on the obtained protein ratios.

Availability: StatQuant can be downloaded from: https://gforge.nbic.nl/projects/statquant/ (binary and source code).

Contact: b.vanbreukelen@uu.nl

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  1209 words. 

Subjects: Bioinformatics and Computational Biology

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