Chip Seq

ChIP Seq

Version Compatibility

Reference examples assume:

• macs3 3.0+
• samtools 1.18+
• deepTools 3.5+

Before using commands, verify the installed environment:

• CLI: macs3 --version, samtools --version, bamCoverage --version
• If flags differ, inspect --help and 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 [technicalreference.md](technicalreference.md) for QC gates, narrow-versus-broad logic, and replicate handling.
• Read [commandsandthresholds.md](commandsandthresholds.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.bam
• input.bam when available
• reference genome build
• chromosome sizes if bigWig export is needed

Expected Outputs

• results/peaks/sample_peaks.narrowPeak or .broadPeak
• results/peaks/sample_summits.bed
• results/tracks/sample_treat_pileup.bw
• results/annotation/peak_annotation.tsv
• qc/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 0.01 is 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:
• 0.05 generally 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

• deeptools
• pysam

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: cheatthegod
• Source: cheatthegod/BioHermes
• License: MIT

Install and usage instructions live in the source repository linked above.