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
bashmacs3 callpeak \ -t atac.bam \ -f BAMPE \ -g hs \ -n sample \ --nomodel \ --shift -100 \ --extsize 200 \ -q 0.01 \ --outdir results/peaks
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
textresults/ ├── peaks/ │ ├── sample_peaks.narrowPeak │ └── sample_summits.bed ├── matrix/ │ └── consensus_peak_counts.tsv └── diff_accessibility.tsv qc/ ├── tss_enrichment.tsv └── fragment_metrics.tsv figures/ ├── tss_enrichment.pdf └── fragment_size_distribution.pdf
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


