IDARE2-Simultaneous Visualisation of Multiomics Data in Cytoscape.

Area of Science:

• Systems Biology
• Bioinformatics
• Computational Biology

Background:

• Genome-scale metabolic networks are crucial for understanding cellular functions but are challenging to visualize with increasing complexity.
• Existing tools for metabolic network visualization are often limited by database-specific pathways or laborious data mapping processes.

Purpose of the Study:

• To present IDARE2, a user-friendly Cytoscape plugin for visualizing multi-omics data within metabolic networks.
• To provide tools for simplifying complex network structures and retaining connectivity information for enhanced analysis.

Main Methods:

• Development of IDARE2 as a Cytoscape plugin.
• Implementation of features for visualizing multi-omics data directly within Cytoscape.
• Inclusion of tools to disentangle large networks based on node properties and maintain subnetwork links.
• Demonstration of extensibility through specialized representations and data parsers.

Main Results:

• IDARE2 successfully visualizes multi-omics data in Cytoscape, overcoming limitations of existing tools.
• The plugin effectively disentangles complex metabolic networks, preserving structural relationships between subnetworks.
• Examples of data mapping on an *E. coli* metabolic network and extensible plugins demonstrate its utility.

Conclusions:

• IDARE2 offers an intuitive and powerful solution for visualizing and analyzing large-scale metabolic networks and multi-omics data.
• Its ability to simplify complex structures and its extensibility make it a valuable tool for systems biology research.