ChIP Seq
SkillAI & modelsChIP-seq peak calling and downstream interpretation with MACS3, signal track export, annotation, motif analysis, and differential binding review.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the ChIP Seq skill
What this skill tells your AI
The instructions your AI receives, as published by biotender-max/awesome-bio-agent-skills in skills/bioclaw/chip-seq/SKILL.md and read by ahel’s review.
Version Compatibility
Reference examples assume:
macs33.0+samtools1.18+deepTools3.5+
Before using commands, verify the installed environment:
- CLI:
macs3 --version,samtools --version,bamCoverage --version - If flags differ, inspect
--helpand adapt rather than forcing the example unchanged.
Overview
Use this skill for:
- narrow or broad peak calling
- input-normalized signal tracks
- peak annotation
- motif follow-up
- differential binding review when replicates exist
When To Use This Skill
- the user has aligned ChIP and optional input BAM files
- the deliverable includes peaks, browser tracks, or motif results
- the assay is TF ChIP or histone-mark ChIP and needs standard peak-centric processing
Quick Route
- TF or narrow marks: use narrow peak mode first.
- H3K27me3, H3K36me3, or other broad marks: use
--broad. - Paired-end BAM: prefer
-f BAMPE. - No input control: still possible, but report the limitation explicitly.
Progressive Disclosure
- Read technical_reference.md for QC gates, narrow-versus-broad logic, and replicate handling.
- Read commands_and_thresholds.md for MACS3 commands, parameter defaults, and output file conventions.
Prerequisites
| Requirement | Narrow TF-style | Broad histone-style |
|---|---|---|
| usable uniquely mapped reads | >= 10M | >= 20M |
| matched input recommended | yes | yes |
| biological replicates recommended | >= 2 | >= 2 |
Expected Inputs
chip.baminput.bamwhen available- reference genome build
- chromosome sizes if bigWig export is needed
Expected Outputs
results/peaks/sample_peaks.narrowPeakor.broadPeakresults/peaks/sample_summits.bedresults/tracks/sample_treat_pileup.bwresults/annotation/peak_annotation.tsvqc/chip_qc_summary.tsv
Starter Pattern
macs3 callpeak \
-t chip.bam \
-c input.bam \
-f BAMPE \
-g hs \
-n sample \
-q 0.01 \
--outdir results/peaks
Key Parameters
| Parameter | Typical value | Meaning |
|---|---|---|
-f | BAM or BAMPE | paired-end should use BAMPE |
-g | hs, mm, or numeric | effective genome size |
-q | 0.01 or 0.05 | FDR cutoff for narrow peaks |
--broad | broad marks only | broad peak mode |
--broad-cutoff | 0.1 | broad-peak FDR cutoff |
-B --SPMR | enabled for tracks | bedGraph for normalized signal |
Workflow
1. Validate BAMs and replicate structure
Check:
- mapped read counts
- duplicate burden
- whether input control exists
- whether the mark is narrow or broad
2. Call peaks with MACS3
- narrow marks:
-q 0.01is a good starting point - broad marks: use
--broad --broad-cutoff 0.1 - paired-end:
-f BAMPE
3. Export signal tracks
Use -B --SPMR, sort the resulting bedGraph, then convert to bigWig for browser use.
4. Annotate and inspect peaks
Map peaks to promoters, gene bodies, or distal intervals and review top loci in a genome browser or track plot.
5. Run motif or differential follow-up
Only after peak quality looks credible and replicate structure supports the downstream question.
Output Artifacts
results/
├── peaks/
│ ├── sample_peaks.narrowPeak
│ ├── sample_summits.bed
│ └── sample_model.r
├── tracks/
│ ├── sample_treat_pileup.bdg
│ └── sample_treat_pileup.bw
└── annotation/
└── peak_annotation.tsv
qc/
└── chip_qc_summary.tsv
Quality Review
- TF ChIP-seq FRiP:
< 0.01poor0.01-0.05usable but weak> 0.05generally solid
- Histone broad-mark FRiP often differs; compare within assay type rather than against TF expectations.
- Use replicate concordance when available. Do not trust a single noisy replicate just because peaks were called.
- Check that top peaks occur in plausible loci and not only blacklisted or artifactual regions.
Anti-Patterns
- treating broad and narrow marks with the same peak-calling setup
- calling peaks on unsorted or low-quality BAMs
- presenting motif hits without showing peak quality
- hiding that no input control was available
Related Skills
- ATAC Seq
- Methylation Analysis
- Gene Regulatory Networks
Optional Supplements
deeptoolspysam
Signals
- GitHub stars
- 178
- Forks
- 32
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
chip-seq- Source
- github.com/biotender-max/awesome-bio-agent-skills