FORG3D

FORG3D visualizes integrated genomic datasets using real-time three-dimensional force-directed graphs to enable exploration and interpretation of genome-scale interaction networks.

Key Features:

• Three-Dimensional Force-Directed Graphs: Renders integrated genomic data in 3D space using a force-directed graph algorithm that positions nodes (genes or gene products) and edges (interactions such as signaling transduction, metabolic pathways, functional interactions, or evolutionary relationships) based on relational forces.
• Integration of Diverse Data Types: Handles diverse genomic data types to represent gene-gene interactions, signaling pathways, metabolic processes, functional associations, and evolutionary linkages.
• Application in Genomics Research: Has been applied to integrated datasets from a Caenorhabditis elegans model of Parkinson's disease to explore gene network relationships.

Scientific Applications:

• Understanding Biological Phenomena: Visualizing genome-scale interactions to elucidate underlying biological processes.
• Modeling Disease Mechanisms: Analyzing gene network dynamics in disease models, exemplified by a Caenorhabditis elegans Parkinson's disease dataset.
• Facilitating Data Integration: Integrating multiple dataset types to generate holistic views of genomic interactions for hypothesis generation.

Methodology:

Uses a real-time three-dimensional force-directed graph algorithm to render nodes and edges and position them based on relational forces.