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bio-data-visualization-genome-browser-tracks

Automate genome browser visualizations from bigWig, BED, and GTF tracks.

Updated Aug 23, 2026
Search Tags:#bioinformatics#publication-figures#igv#genome-visualization#genome-browser#pygenometracks
One-click install
npx skills add https://github.com/stellaromics/fast-bioinfo --skill bio-data-visualization-genome-browser-tracks
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bio-data-visualization-genome-browser-tracks
Source: https://github.com/stellaromics/fast-bioinfo/tree/main/.claude/agents/spatial-analysis/skills/bio-data-visualization-genome-browser-tracks
Command: npx skills add https://github.com/stellaromics/fast-bioinfo --skill bio-data-visualization-genome-browser-tracks

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate publication-quality genome browser visualizations from multiple data tracks using pyGenomeTracks, IGV batch scripting, or Gviz.

Core Features & Use Cases

  • Supports region-specific figures combining coverage (BigWig), peaks (BED), and gene models (GTF) with pyGenomeTracks.
  • Enables IGV batch scripting for automated region screenshots and publication-quality exports.
  • Provides multi-sample comparison workflows and batch figure generation for manuscripts.
  • Integrates with R/Bioconductor (Gviz) workflows for alternative plotting pipelines.

Quick Start

Generate a figure for chr1:1000000-2000000 using pyGenomeTracks.

Frequently Asked Questions about bio-data-visualization-genome-browser-tracks

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

FAQPage Schema
How do I create publication-ready genome browser tracks from bigWig and BED files?▼

Genome browser visualizations combine coverage (bigWig), peaks (BED), and gene models (GTF) into region-specific plots using pyGenomeTracks, IGV batch scripting, or Gviz. The Skill outputs high-resolution PNG, SVG, or PDF figures for manuscripts.

Can I automate IGV batch scripting for multi-sample genome visualization comparisons?▼

Yes, IGV batch scripting automates region screenshots and publication-quality exports for multi-sample genome visualization comparisons. The Skill configures these workflows to generate batch figures across multiple genomic samples.

Does pyGenomeTracks require INI configuration to plot genomic regions?▼

Yes, pyGenomeTracks requires INI configuration files to define track layouts and plot specific genomic regions. You provide the track files and INI configuration, and the Skill automates the generation of high-resolution publication figures.

What is the best way to generate batch genome browser figures for a manuscript?▼

The best way to generate batch genome browser figures for a manuscript is using pyGenomeTracks or Gviz workflows. The Skill automates multi-sample comparisons and exports high-resolution SVG, PDF, or PNG files suitable for publication.

Can I use Gviz workflows in R for alternative genome browser plotting pipelines?▼

Yes, you can use R-based Gviz workflows for alternative genome browser plotting pipelines. The Skill integrates with R/Bioconductor to provide multi-sample comparison workflows and batch figure generation from genomic track files.

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