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PAnalyzer: a software tool for protein inference in shotgun proteomics
Gorka Prieto1, Kerman Aloria, Nerea Osinalde
1Department of Communications Engineering, University of the Basque Country (UPV/EHU), Alda, Urquijo s/n, Bilbao, 48013, Spain. gorka.prieto@ehu.es
BMC Bioinformatics
|November 7, 2012
Summary
This study introduces PAnalyzer, a free software tool that simplifies protein inference in shotgun proteomics by transparently grouping identified proteins and handling ambiguities in MSE data. It improves analysis of complex proteomic datasets.
Area of Science:
- Proteomics
- Bioinformatics
- Computational Biology
Background:
- Shotgun proteomics faces challenges in protein inference due to shared peptides, particularly in higher eukaryotes.
- Data-independent acquisition (DIA) methods like MSE offer an alternative to data-dependent acquisition (DDA).
- Existing software for MSE data lacks transparent protein grouping and requires manual result interpretation.
Purpose of the Study:
- To develop a software tool, PAnalyzer, for improved protein inference from MSE data.
- To address limitations in current software regarding protein grouping and result reporting.
- To provide a transparent and efficient analysis of shotgun proteomics data.
Main Methods:
- PAnalyzer processes protein identification files from ProteinLynx Global Server (PLGS) and mzIdentML formats.
- The software groups identified proteins based on evidence categories, indicating confidence levels.
- It supports simultaneous analysis of multiple files as technical replicates.
Main Results:
- PAnalyzer offers a transparent protein inference process, grouping proteins with confidence levels.
- The tool successfully integrates technical replicates for enhanced analysis.
- Comparison with ProteinLynx Global Server demonstrates PAnalyzer's utility in real sample analysis.
Conclusions:
- PAnalyzer is a user-friendly, multiplatform, and free software tool for protein inference in shotgun proteomics.
- It effectively handles ambiguities in MSE data and integrates technical replicates.
- The software streamlines the analysis and reporting of proteomic results.
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