BioNetComp

BioNetComp performs extraction, integration, construction, and comparative analysis of biological interaction networks from omics data to identify topological and functional differences between interactomes representing distinct cellular conditions.

Key Features:

• Network construction: Builds biological networks with nodes representing genes or proteins and edges representing their interactions.
• Omics data extraction and integration: Extracts and integrates omics-derived data to derive interaction networks.
• Pairwise interactome comparison: Compares two distinct biological interactomes to reveal differences between conditions.
• Network metrics: Computes various network metrics to quantify topological differences between interactomes.
• Biological enrichment analysis: Performs enrichment analyses to interpret functional differences between networks.
• Data visualization: Produces advanced data visualizations to elucidate network-level differences.

Scientific Applications:

• Comparative interactomics: Distinguishing differences between interactomes across contrasting biological states using network topology and enrichment results.
• Differential expression time-course analysis: Comparing interactomes derived from differentially expressed genes at two distinct time points during bioethanol fermentation.
• Systems biology investigations: Analyzing molecular interaction changes in systems biology and related studies.

Methodology:

Extraction and integration of omics data; construction of networks with nodes as genes or proteins and edges as interactions; computation of network metrics for pairwise comparison of two interactomes; biological enrichment analysis; and advanced data visualization.