Agent skill · Data & Analytics

bio-chipseq-visualization

Visualize ChIP-seq data using deepTools, Gviz, and ChIPseeker. Create heatmaps, profile plots, and genome browser tracks. Visualize signal around peaks, TSS, or custom regions. Use when visualizing ChIP-seq signal and peaks.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-chipseq-visualization --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 8 KB
Bundled scripts: yes
Path: skills/bio-chipseq-visualization/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: GenomicRanges 1.54+, deepTools 3.5+ Before using code patterns, verify installed versions match. If versions differ: - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # ChIP-seq Visualization **"Create a heatmap of ChIP-seq signal around peaks"** → Generate signal heatmaps, profile plots, and genome browser tracks showing enrichment patterns around genomic features. - CLI: `deeptools computeMatrix reference-point` → `plotHeatmap` - R: `Gviz`, `ChIPseeker::plotAvgProf()` ## deepTools - Compute Matrix **Goal:** Build a signal matrix of ChIP-seq coverage around reference points for downstream heatmaps and profiles. **Approach:** Use computeMatrix to extract bigWig signal values in windows around genomic features like TSS. ```bash # Compute signal matrix around TSS computeMatrix reference-point \ --referencePoint TSS \ -b 3000 -a 3000 \ # 3kb upstream and downstream -R genes.bed \ # Refe

What's inside
Steps it walks through
  1. Version Compatibility
  2. deepTools - Compute Matrix
  3. deepTools - Scale-Regions
  4. deepTools - Heatmap
  5. deepTools - Profile Plot
  6. Create BigWig from BAM
  7. ChIPseeker Profile Heatmap (R)
  8. Gviz - Genome Browser Tracks (R)
  9. Multiple Samples in Gviz
  10. EnrichedHeatmap (R)
  11. IGV Batch Screenshot
  12. Key Tools Comparison
  13. deepTools Key Commands
  14. Related Skills
Ships with 3 files
  • examples/chipseeker_profile.R
  • examples/deeptools_heatmap.sh
  • usage-guide.md
Commands it runs
Compute signal matrix around TSS
computeMatrix reference-point \
Signal across gene bodies
computeMatrix scale-regions \
Generate heatmap from matrix
plotHeatmap \
With profile on top
Average profile plot
plotProfile \
Multiple samples comparison
More from OpenClaw-Medical-Skills
All skills →
About this skill
What does the bio-chipseq-visualization skill do?

Visualize ChIP-seq data using deepTools, Gviz, and ChIPseeker. Create heatmaps, profile plots, and genome browser tracks. Visualize signal around peaks, TSS, or custom regions. Use when visualizing ChIP-seq signal and peaks.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-chipseq-visualization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going