runchuan-bu/bioclaw/atac-seq
- community
Checking that the SKILL.md file is still in the repository.
ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.
Install
npx vskill@latest install runchuan-bu/bioclaw/atac-seqSKILL.md
ATAC Seq
Version Compatibility
Reference examples assume:
macs33.0+samtools1.18+deepTools3.5+
Verify the runtime first:
- CLI:
macs3 --version,samtools --version,bamCoverage --version
Overview
Use this skill when the user needs:
- bulk ATAC-seq QC
- peak calling
- accessibility counting
- differential accessibility
- motif deviation or footprint follow-up
When To Use This Skill
- the task is bulk ATAC-seq rather than ChIP-seq
- TSS enrichment, fragment periodicity, or FRiP need review
- the output should include peaks, counts, and downstream accessibility summaries
Quick Route
- paired-end bulk ATAC: use
BAMPE - call peaks without control using ATAC-specific settings
- if TSS enrichment is poor, stop and flag data quality before interpretation
Progressive Disclosure
- Read technical_reference.md for QC gates and assay-specific caveats.
- Read commands_and_thresholds.md for peak-calling commands, thresholds, and output conventions.
Prerequisites
| Check | Guidance | |
|---|---|---|
| uniquely mapped reads | >= 20M preferred for strong bulk ATAC | |
| TSS enrichment | > 7 acceptable, > 10 strong | |
| FRiP | > 0.2 often strong for good bulk ATAC |
Expected Inputs
- paired-end ATAC BAM or FASTQ
- reference genome
- sample groups for comparisons
Expected Outputs
results/peaks/sample_peaks.narrowPeakresults/matrix/consensus_peak_counts.tsvresults/diff_accessibility.tsvfigures/tss_enrichment.pdffigures/fragment_size_distribution.pdf
Starter Pattern
Key Parameters
| Parameter | Typical value | Notes | |
|---|---|---|---|
-f | BAMPE | paired-end ATAC should use fragment-aware mode | |
--nomodel | on | standard for ATAC | |
--shift | -100 | common Tn5 offset convention | |
--extsize | 200 | common first-pass extension | |
-q | 0.01 | starting FDR threshold |
Workflow
1. Validate assay QC
Review:
- TSS enrichment
- fragment size periodicity
- duplication
- mapped read depth
2. Call peaks with ATAC-specific settings
Use fragment-aware paired-end mode and Tn5-aware shifting or equivalent settings.
3. Build a consensus peak matrix
Merge peaks across samples, count fragments into consensus intervals, then produce a peak-by-sample matrix.
4. Test differential accessibility
Use replicate-aware statistics and report both effect size and adjusted significance.
5. Run motif or footprint follow-up
Only after peak quality and read depth support it.
Output Artifacts
Quality Review
- TSS enrichment below
7should trigger caution. - Strong nucleosome periodicity supports a good bulk ATAC library.
- FRiP below
0.1is usually weak and needs scrutiny. - Footprinting should not be trusted on low-depth or poor-quality libraries.
Anti-Patterns
- using generic ChIP peak-calling defaults for ATAC
- running footprinting on weak libraries
- skipping TSS enrichment review
- merging peaks from mixed reference builds
Related Skills
- ChIP Seq
- Gene Regulatory Networks
- Multiome And scATAC
Optional Supplements
deeptoolspysam
Security
- Security scanPassed, 93 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingcontainer/skills/atac-seq/SKILL.md
Popularity
- Repository stars
- 384
- Repository forks
- 48
- 7-day trend score
- 30
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/runchuan-bu/bioclaw/atac-seq)