Nezzle

Nezzle visualizes biological networks in Python to produce high-quality, data-integrated network figures for analysis of gene regulatory networks, protein–protein interactions, and metabolic pathways.

Key Features:

• Python integration: Implements biological network visualization within the Python environment for programmatic figure generation.
• Data integration: Integrates external data with graphical network components to map experimental or annotation data onto visuals.
• Programmable interface: Provides a programmable interface to automate parts of network figure creation and curation.
• Manual curation and automation: Supports manual curation of network elements alongside automated processes for adjusting visualizations.
• Interactive manipulation: Enables dynamic exploration and manipulation of network layouts and elements.
• High-quality figure generation: Produces detailed, high-quality network figures.

Scientific Applications:

• Gene regulatory networks: Visualization and exploration of regulatory interactions among genes.
• Protein–protein interactions: Representation and analysis of protein interaction networks.
• Metabolic pathways: Mapping and visualization of metabolic pathway networks.

Methodology:

Implemented in Python; integrates external data with graphical network components and supports manual curation, programmable automation, and interactive manipulation.