ModMap

ModMap identifies and maps modules across heterogeneous biological networks by integrating large-scale omic data to reveal modules that are strongly connected within one network and interconnected in another.

Key Features:

• Network Integration: Constructs maps linking modules from two distinct gene interaction networks, where modules consist of genes strongly connected within the first network and inter-module links reflect robust interconnections in the second network.
• Module-map framework: Employs a module map framework to analyze heterogeneous high-throughput omic data.
• Novel algorithms and validation: Implements novel algorithms that improve performance over existing methods and have been validated on simulated and real-world datasets across multiple domains.

Scientific Applications:

• Epistatic Relationship Discovery: Analyzes protein-protein interactions alongside negative genetic interactions in yeast to uncover epistatic relationships among protein complexes.
• Functional Rewiring Identification: Examines protein-protein interactions and DNA damage-specific positive genetic interactions in yeast to reveal functional rewiring among protein complexes related to the DNA damage response.
• Transcriptome Analysis in Cancer Research: In non-small-cell lung cancer studies, compares global co-expression and disease-dependent differential co-expression networks to identify changes in correlation between modules related to immune activation processes that may indicate potential microRNA regulatory control.

Methodology:

Construction of module maps linking modules across networks and application of the tool's advanced algorithms.