Bioinformatics Advance Access originally published online on March 31, 2009
Bioinformatics 2009 25(11):1472-1473; doi:10.1093/bioinformatics/btp181
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StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry
1Biomolecular Mass Spectrometry and Proteomics Group, Utrecht University, Padualaan 8, 3584 CH Utrech, 2Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3Netherlands Proteomics Centre, Padualaan 8, 3584 CH Utrecht, 4Netherlands Bioinformatics Centre, Geert Grooteplein 28, 6525 GA Nijmegen, The Netherlands and 5Centre for Biomedical Genetics, Padualaan 8, 3584 CH Utrecht, The Netherlands
*To whom correspondence should be addressed.
| Abstract |
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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{at}uu.nl
Supplementary information: Supplementary data are available at Bioinformatics online.
Associate Editor: Jonathan Wren
Received on January 28, 2009; revised on March 13, 2009; accepted on March 26, 2009