TopoGSA

TopoGSA computes topological properties of gene and protein sets within molecular interaction networks to analyze their roles and relations to known cellular pathways and processes.

Key Features:

• Network topology computation: Computes topological properties of gene and protein sets mapped onto molecular interaction networks.
• Centrality measures: Calculates node centrality metrics to indicate importance or influence of genes and proteins within networks.
• Clustering propensity analysis: Assesses the propensity of genes and proteins to form clusters or modules indicative of functional groupings.
• Comparative pathway analysis: Compares computed topological properties with known cellular pathways and processes.
• Database integration: Aligns and juxtaposes results with annotations from Gene Ontology, BioCarta, KEGG, and similar pathway resources.
• Topology visualization: Produces visual representations of network topology and annotated gene/protein sets.

Scientific Applications:

• Functional interpretation of gene sets: Relates topological properties of gene or protein sets to established biological functions and mechanisms.
• Identification of key network components: Reveals influential genes or proteins via centrality metrics for further experimental investigation.
• Detection of functional modules: Identifies clusters or modules that may represent coordinated biological processes.
• Pathway contextualization: Places molecular interaction patterns in the context of pathways annotated in Gene Ontology, BioCarta, and KEGG.

Methodology:

Computation of network topological properties (including centrality and clustering propensity) on molecular interaction networks and comparative analysis of those properties against pathway annotations from Gene Ontology, BioCarta, KEGG, and related resources, with results presented as network visualizations.