netbiov

NetBioV visualizes large-scale biological networks to facilitate exploration of complex molecular interactions such as protein-protein interactions, gene regulatory networks, and metabolic pathways.

Key Features:

• Visualization of large networks: Handles extensive biological network datasets to represent complex topologies and interactions.
• Highlighting structural properties: Emphasizes specific network structural properties that are relevant for biological interpretation.
• Reproducible visualization workflows: Provides structured approaches to support reproducible generation of network visualizations.

Scientific Applications:

• Protein-protein interactions, gene regulatory networks, metabolic pathways: Enables visualization and exploration of networks derived from these molecular data types.
• Systems biology: Supports analysis of network organization and interaction patterns at the systems level.
• Genomics: Facilitates visualization of regulatory and interaction networks inferred from genomic data.
• Personalized medicine: Assists interpretation of network-level molecular relationships relevant to individualized disease mechanisms.

Methodology:

Implemented as an R package for R 2.14.2; tested on Linux, Windows, and Mac OS X; and integrated into Bioconductor.