BRIDGE: an interactive application for multi-omics data analysis, visualization and integration
David Márquez-Oller1, Andrea Pauli1, Jörg Fallmann1
1Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Wien 1030, Austria.
Bioinformatics (Oxford, England)
|July 27, 2026
Summary
BRIDGE is a user-friendly application for multi-omics analysis, supporting proteomics, phospho-proteomics, and RNA-seq data. It offers an accessible, local platform for efficient data exploration and visualization without requiring computational expertise.
Area of Science:
- Bioinformatics
- Computational Biology
- Data Science
Background:
- Multi-omics data integration is crucial for understanding complex biological systems.
- Existing platforms often require significant computational expertise or lack comprehensive analysis capabilities.
Purpose of the Study:
- To develop BRIDGE, an accessible and modular platform for individual and integrative multi-omics analysis.
- To provide a user-friendly, local environment for researchers without prior computational expertise.
Main Methods:
- Implementation in R using the Shiny framework.
- Utilizes an independent SQLite database backend for local data storage.
- Supports proteomics, phospho-proteomics, and RNA-seq data types.
Main Results:
- BRIDGE offers a comprehensive suite of visualization and analytical modules.
- An integrated multi-omics analysis pipeline is included.
- Built-in caching and asynchronous processing enhance responsiveness for efficient data exploration.
Conclusions:
- BRIDGE provides an accessible, modular, and user-friendly platform for multi-omics analysis.
- It enables efficient exploration, analysis, and visualization of multi-omics datasets on moderate hardware.
- The application requires no prior computational expertise, democratizing multi-omics research.