iCTNet2

iCTNet2 integrates heterogeneous biological interactions into Cytoscape-compatible networks to enable systems-level analysis of human complex traits.

Key Features:

• Integration of diverse biological interactions: Integrates genetic, proteomic, and metabolic interactions from large-scale datasets in public repositories.
• Heterogeneous network construction: Constructs heterogeneous networks combining multiple data types and entity relationships for network-based analysis.
• Cytoscape app and database: Provides a Cytoscape app and an integrated database to store and access interaction and network data.
• Visualization and analysis capabilities: Leverages Cytoscape visualization and analysis features to represent networks and identify key nodes and interactions.
• Systems-level perspective: Enables systems-level interpretation of interactions underlying human complex traits.

Scientific Applications:

• Complex trait analysis: Supports network-based analysis of multifactorial human diseases such as diabetes and cardiovascular diseases.
• Biomarker and therapeutic target discovery: Aids identification of potential biomarkers and therapeutic targets within network contexts.
• Pathway and etiology investigation: Facilitates identification of pathways involved in disease etiology and progression.

Methodology:

Curates and integrates data from public biological databases, standardizes data formats, ensures Cytoscape compatibility, and implements algorithms for network construction and analysis.