iBIG

iBIG constructs and visualizes gene interaction and regulatory networks to identify and analyze functional modules perturbed across human diseases.

Key Features:

• Integration of Gene Interaction Data: Compiles diverse gene interaction and regulatory data for comprehensive network construction.
• Functional and Physical Network Construction: Constructs physical networks, including protein-protein interactions and pathway interactions, and functional-level networks representing affected biological processes.
• Annotation and Visualization: Annotates generated networks with multiple information types and provides visualization for interpretation.
• Microarray Data Processing (R package): Employs a supplementary R package to process microarray data and identify key genes from large datasets.
• Multi-disease Microarray Integration: Processes 54 microarrays spanning cancer, neurological disorders, infectious diseases, and other common conditions as inputs for network analyses.
• Functional Module Network Generation: Generates networks of functional modules that are perturbed across the analyzed disease categories.

Scientific Applications:

• Disease mechanism elucidation: Integrates interaction and functional networks to provide insights into mechanisms underlying human diseases.
• Pathway and process disruption analysis: Enables exploration of disrupted biological processes and pathways across disease conditions.
• Gene prioritization from expression data: Prioritizes key genes from microarray datasets for downstream network-based analyses.

Methodology:

Processes microarray data using a supplementary R package to identify key genes from 54 microarrays covering cancer, neurological disorders, infectious diseases, and other conditions, and uses those genes as input for construction of physical (protein-protein and pathway) and functional networks.