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This article is part of the supplement: BioSysBio 2007: Systems Biology, Bioinformatics, Synthetic Biology

Open Access Poster presentation

Pride Wizard: generation of standards compliant quantitative proteomics data

Neil Swainston1*, Jennifer A Siepen2, Andrew R Jones23, Sarah R Hart4, Henning Hermjakob5, Phil Jones5 and Simon J Hubbard2

Author Affiliations

1 Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, University of Manchester, Manchester M1 7ND, UK

2 Faculty of Life Sciences, Michael Smith Building, University of Manchester, Manchester M13 9PL, UK

3 School of Computer Science, Kilburn Building, University of Manchester, Manchester M13 9PL, UK

4 Michael Barber Centre for Mass Spectrometry, School of Chemistry, Manchester Interdisciplinary Biocentre, University of Manchester, Manchester M1 7ND, UK

5 EMBL Outstation, European Bioinformatics Institute, Welcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK

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BMC Systems Biology 2007, 1(Suppl 1):P27  doi:10.1186/1752-0509-1-S1-P27

The electronic version of this article is the complete one and can be found online at:

Published:8 May 2007

© 2007 Swainston et al; licensee BioMed Central Ltd.

Poster presentation

The introduction of the Proteomics Identifications Database (PRIDE) provided the proteomics community with a standards compliant data repository for proteomics data. PRIDE implements standards put forward by the Proteome Standards Initiative (PSI) including mzData.

Many commonly used proteomics software packages do not currently support these standards. As such, formatting data to adhere to the PRIDE schema requires the writing of data parsers to perform the conversion. To address this, the Pride Wizard has been introduced to perform the transformation steps required to convert more commonly used file formats into documents that adhere to the PRIDE schema. Examples of these include .mgf files for peak lists and Mascot .dat files for peptide and protein identifications.

The existing PRIDE schema has no provision for quantitative proteomics data. A new controlled vocabulary is introduced here to allow storage of quantitative I-TRAQ data. It is envisaged that this can be extended to allow submission of quantitative data from other labelling techniques.

The tool has been used to populate a PRIDE database with mass spectra and associated protein identifications and quantifications from a comprehensive set of proteomics experiments from a systems biology study of growth-rate in the eukaryotic cell.