runchuan-bu/bioclaw/chip-seq
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ChIP-seq peak calling and downstream interpretation with MACS3, signal track export, annotation, motif analysis, and differential binding review.
Install
npx vskill@latest install runchuan-bu/bioclaw/chip-seqSKILL.md
ChIP Seq
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
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
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
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/chip-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.
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