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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
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Bringing data from curated pathway resources to Cytoscape with OmniPath
Francesco Ceccarelli1,2, Denes Turei1,3, Attila Gabor1,4
1Faculty of Medicine, Joint Research Centre for Computational Biomedicine (JRC-COMBINE), RWTH Aachen University, Aachen 52074, Germany.
Bioinformatics (Oxford, England)
|December 31, 2019
Summary
The OmniPath App integrates over 120,000 interactions from 61 network resources into Cytoscape. This plugin provides easy access to curated pathway data for network analysis.
Area of Science:
- Bioinformatics
- Systems Biology
- Computational Biology
Background:
- Numerous databases offer valuable resources for constructing and analyzing biological networks.
- OmniPath aggregates 61 diverse network resources, amassing over 120,000 interactions for comprehensive network analysis.
Purpose of the Study:
- To introduce the OmniPath App, a Cytoscape plugin designed for seamless data import from OmniPath.
- To enable users to access and utilize OmniPath's extensive curated knowledge base directly within the Cytoscape environment.
Main Methods:
- Development of the OmniPath App as a Cytoscape 3 plugin using Java.
- Implementation of a user-friendly interface for flexible data import from OmniPath.
Main Results:
- The OmniPath App facilitates direct access to a large collection of high-quality biological network data within Cytoscape.
- Users can now easily inspect and further analyze integrated pathway information using familiar Cytoscape tools.
Conclusions:
- The OmniPath App enhances the utility of OmniPath by providing an intuitive interface for Cytoscape users.
- This integration simplifies the process of building and analyzing complex biological networks using curated pathway data.
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