PAnalyzer: A software tool for protein inference in shotgun proteomics

• Main Authors: Prieto Gorka, Aloria Kerman, Osinalde Nerea, Fullaondo Asier, Arizmendi Jesus M, Matthiesen Rune
• Format: Article
• Language: English
• Published: BMC 2012-11-01
• Series: BMC Bioinformatics
• Online Access: http://www.biomedcentral.com/1471-2105/13/288

<p>Abstract</p> <p>Background</p> <p>Protein inference from peptide identifications in shotgun proteomics must deal with ambiguities that arise due to the presence of peptides shared between different proteins, which is common in higher eukaryotes. Recently data independent acquisition (DIA) approaches have emerged as an alternative to the traditional data dependent acquisition (DDA) in shotgun proteomics experiments. MS^{<it>E </it>}is the term used to name one of the DIA approaches used in QTOF instruments. MS^{<it>E </it>}data require specialized software to process acquired spectra and to perform peptide and protein identifications. However the software available at the moment does not group the identified proteins in a transparent way by taking into account peptide evidence categories. Furthermore the inspection, comparison and report of the obtained results require tedious manual intervention. Here we report a software tool to address these limitations for MS^{<it>E </it>}data.</p> <p>Results</p> <p>In this paper we present PAnalyzer, a software tool focused on the protein inference process of shotgun proteomics. Our approach considers all the identified proteins and groups them when necessary indicating their confidence using different evidence categories. PAnalyzer can read protein identification files in the XML output format of the ProteinLynx Global Server (PLGS) software provided by Waters Corporation for their MS^{<it>E </it>}data, and also in the mzIdentML format recently standardized by HUPO-PSI. Multiple files can also be read simultaneously and are considered as technical replicates. Results are saved to CSV, HTML and mzIdentML (in the case of a single mzIdentML input file) files. An MS^{<it>E </it>}analysis of a real sample is presented to compare the results of PAnalyzer and ProteinLynx Global Server.</p> <p>Conclusions</p> <p>We present a software tool to deal with the ambiguities that arise in the protein inference process. Key contributions are support for MS^{<it>E </it>}data analysis by ProteinLynx Global Server and technical replicates integration. PAnalyzer is an easy to use multiplatform and free software tool.</p>