PathJam: a new service for integrating biological pathway information

Area of Science:

• Bioinformatics
• Systems Biology
• Computational Biology

Background:

• Biological pathways are fundamental to understanding human diseases.
• Pathway information is currently scattered across various public databases.
• Integrating this scattered data is essential for comprehensive research.

Purpose of the Study:

• To introduce PathJam, a novel web-server application for human pathway annotation.
• To provide an intuitive tool for wet-lab researchers and support integrative pathway application development.
• To consolidate scattered pathway data into a single, accessible platform.

Main Methods:

• Developed a web-server application integrating data from multiple public pathway sources.
• Implemented statistical enrichment analysis for pathway annotations.
• Designed interactive graphs for visualizing pathway and gene relationships.
• Ensured downloadable results in compatible formats and GSEA compatibility.
• Provided a standardized RESTful API for programmatic access.

Main Results:

• PathJam offers a comprehensive and freely accessible resource for human pathway data.
• The application provides intuitive tools for pathway enrichment analysis.
• Interactive visualizations facilitate the exploration of gene-pathway connections.
• Standardized outputs and API support advanced data integration and application development.

Conclusions:

• PathJam effectively integrates scattered human pathway information, offering a valuable resource for researchers.
• The tool's design caters to both experimental biologists and computational scientists.
• PathJam facilitates deeper insights into biological processes and human diseases through integrated pathway analysis.