Published in

Oxford University Press (OUP), Bioinformatics, 11(25), p. 1472-1473

DOI: 10.1093/bioinformatics/btp181

Links

Tools

Export citation

Search in Google Scholar

StatQuant: A post quantification analysis toolbox for improving quantitative mass spectrometry

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

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).