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bio-data-visualization-genome-browser-tracks

Official

Publish genome browser visuals.

Data & Analytics#bioinformatics#publication-figures#igv#genome-visualization#genome-browser#pygenometracks
Authorstellaromics
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: bio-data-visualization-genome-browser-tracks
Download link: https://github.com/stellaromics/fast-bioinfo/archive/main.zip#bio-data-visualization-genome-browser-tracks

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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