CompNet

CompNet enables visual comparison and analysis of multiple biological interaction networks to identify similarities and differences in nodes, edges, and network structures.

Key Features:

• Multi-Network Visual Comparison: Simultaneously compares multiple interaction networks to identify shared and distinct nodes and edges.
• Pie-Node and Edge-Pie Visualization: Uses pie-nodes and edge-pie matrices to represent node and interaction presence across different networks.
• Set-Based Network Comparison: Visualizes union, intersection, and complement regions among selected networks.
• Network Metrics Analysis: Compares networks using structural metrics to examine differences across biological conditions.
• Neighborhood and Community Comparison: Evaluates similarities in node neighborhood architecture and community structures across networks.

Scientific Applications:

• Comparative Network Biology: Analyzes differences in biological interaction networks across experimental conditions such as stress or infection.
• Protein–Protein Interaction Analysis: Examines structural changes in protein-protein interaction networks derived from gene-expression datasets.
• Systems Biology Studies: Identifies key network components and interaction patterns underlying biological processes and host responses.

Methodology:

CompNet performs network alignment and pairwise similarity analysis, computes network metrics, and visualizes shared and unique network components using pie-node and edge-pie representations across multiple biological interaction networks.