The proteios software environment: an extensible multiuser platform for management and analysis of proteomics data

Area of Science:

• Proteomics
• Bioinformatics
• Computational Biology

Background:

• Proteome analysis generates large, diverse datasets requiring robust data management and analysis.
• Current tools are often lab-specific, hindering data sharing and optimal exploitation.
• A unified platform is needed for accessible proteomics data analysis and tool integration.

Purpose of the Study:

• To introduce the Proteios Software Environment (ProSE) as a solution for proteomics data management and analysis.
• To provide a user-friendly, web-based platform for collaborative proteomics research.
• To enable method developers to share their analysis tools with the wider research community.

Main Methods:

• Development of a web-based local data repository for proteomics experiments.
• Implementation of features for sample tracking, project sharing, and automated data merging.
• Integration of quantitative proteomics workflows, search engines, and public repository submission.

Main Results:

• ProSE provides automated data merging and feature extraction capabilities.
• The platform supports multiple quantitative proteomics workflows and integrates various search engines.
• It enables automated result combination, false discovery rate control, protein annotation, and public data submission.

Conclusions:

• ProSE serves as a comprehensive analysis platform for proteomics research, particularly for multi-user projects.
• It addresses the need for data sharing, sample tracking, and streamlined analysis in proteomics.
• ProSE is an open-source software solution aimed at enhancing collaborative proteomics research.