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bio-data-visualization-network-visualization

Visualize biological networks as static figures and interactive HTML using NetworkX and PyVis.

Updated Mar 30, 2026
Search Tags:#network-visualization#networkx#ppi#cytoscape#grn#coexpression#pyvis
One-click install
npx skills add https://github.com/ya-way/cytoclaw-skills --skill bio-data-visualization-network-visualization
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bio-data-visualization-network-visualization
Source: https://github.com/ya-way/cytoclaw-skills/tree/main/workspace/skills/bio-data-visualization-network-visualization
Command: npx skills add https://github.com/ya-way/cytoclaw-skills --skill bio-data-visualization-network-visualization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Visualize biological networks from interaction data, gene regulatory networks (GRN), and co-expression modules to produce clear, publication-ready figures.

Core Features & Use Cases

  • Static network plots using NetworkX and Matplotlib for quick overviews.
  • Interactive PyVis networks with hover tooltips and exploratory layout adjustments.
  • Cytoscape automation support for advanced styling and publication-quality exports.
  • Multi-format exports (PNG, PDF, SVG, HTML, GraphML) for versatile reporting.
  • End-to-end workflows from data to labeled visuals suitable for publications and reports.

Quick Start

Load your network data and generate static or interactive visualizations suitable for publication.

Frequently Asked Questions about bio-data-visualization-network-visualization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create interactive network visualizations for biological interaction data?▼

To visualize biological interaction data interactively, this skill uses PyVis to generate interactive HTML networks complete with hover tooltips and adjustable layouts for exploratory data analysis.

Can I use NetworkX to generate static publication-ready figures for gene regulatory networks?▼

Yes, NetworkX computes network layouts and Matplotlib renders static gene regulatory network plots, yielding publication-ready figures suitable for reports and quick overviews.

Does Cytoscape automation work with Python for visualizing co-expression modules?▼

Yes, Cytoscape automation integrates with Python via py4cytoscape to visualize co-expression modules, enabling advanced styling and publication-quality exports for your network data.

What is the best way to export biological network graphs into multiple formats like GraphML and SVG?▼

The best way to export biological network graphs is using this skill's multi-format export capability, which directly outputs PNG, PDF, SVG, HTML, and GraphML files for versatile reporting.

What do I need to build end-to-end workflows from interaction data to labeled PPI visuals?▼

Building end-to-end workflows from interaction data to labeled PPI visuals requires a compatible Python ecosystem with NetworkX and PyVis installed, leveraging built-in version checks for dependencies.

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