Skip Navigation


Bioinformatics Advance Access originally published online on March 31, 2009
Bioinformatics 2009 25(11):1472-1473; doi:10.1093/bioinformatics/btp181
This Article
Right arrow Full Text
Right arrow Full Text (Print PDF)
Right arrow Supplementary Data
Right arrow All Versions of this Article:
25/11/1472    most recent
btp181v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by van Breukelen, B.
Right arrow Articles by Heck, A. J. R.
PubMed
Right arrow PubMed Citation
Right arrow Articles by van Breukelen, B.
Right arrow Articles by Heck, A. J. R.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

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

Bas van Breukelen 1,2,3,4,5,*, Henk W. P. van den Toorn 1,2,3,4,5, Madalina M. Drugan 1,2,3,4,5 and Albert J. R. Heck 1,2,3,4,5

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

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

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.