Making proteomics accessible: RokaiXplorer for interactive analysis of phospho-proteomic data

Area of Science:

• Proteomics
• Phospho-proteomics
• Bioinformatics

Background:

• Limited user-friendly tools exist for complex proteomics and phospho-proteomics data analysis.
• Researchers often require specialized training in data science for effective data interpretation.
• A need exists for integrated solutions that handle data processing, analysis, and visualization.

Purpose of the Study:

• To introduce RokaiXplorer, an intuitive web tool for proteomics and phospho-proteomics data analysis.
• To provide a comprehensive platform for analyzing phospho-proteomic data at multiple biological levels.
• To enable interactive data sharing and visualization for researchers.

Main Methods:

• Development of an interactive web-based platform (RokaiXplorer).
• Integration of modules for data normalization, statistical testing, and activity inference.
• Implementation of pathway enrichment, subgroup analysis, and automated report generation.
• Inclusion of diverse visualization options like heat maps, volcano plots, and network views.

Main Results:

• RokaiXplorer streamlines data processing, analysis, and visualization in proteomics and phospho-proteomics.
• The tool supports multi-level analysis, including phosphosites, proteins, kinases, and pathways.
• Researchers can deploy custom data browsers for interactive data sharing.

Conclusions:

• RokaiXplorer addresses the scarcity of accessible tools for phospho-proteomic data analysis.
• The platform empowers researchers without specialized training to perform comprehensive analyses.
• RokaiXplorer facilitates a deeper understanding of biological processes through integrated data exploration.