Claude-skill-registry ChIPseq-QC
Performs ChIP-specific biological validation. It calculates metrics unique to protein-binding assays, such as Cross-correlation (NSC/RSC) and FRiP. Use this when you have filtered the BAM file and called peaks for ChIP-seq data. Do NOT use this skill for ATAC-seq data or general alignment statistics.
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/5-chipseq-qc" ~/.claude/skills/majiayu000-claude-skill-registry-chipseq-qc && rm -rf "$T"
manifest:
skills/data/5-chipseq-qc/SKILL.mdsource content
Comprehensive ChIP-seq QC Pipeline
Overview
This skill performs a full ChIP-seq quality control analysis from aligned BAM files and peak files.
Main steps include:
- Refer to the Inputs & Outputs section to check inputs and build the output architecture. All the output file should located in
in Step 0.${proj_dir} - Perform cross-correlation analysis to calculate NSC and RSC.
- Compute FRiP (Fraction of Reads in Peaks) using peak files and aligned BAMs.
Inputs & Outputs
Inputs
${sample}.bam # filtered bam files ${sample}.narrowPeak # or broadPeak
Outputs
all_chip_qc/ ${sample}_spp.txt ${sample}_crosscorr.pdf ${sample}_frip.txt
Step 0: Initialize Project
Call:
mcp__project-init-tools__project_init
with:
: allsample
: atac_qctask
The tool will:
- Create
directory.all_chip_qc - Return the full path of the
directory, which will be used asall_chip_qc
.${proj_dir}
Step 1: Calculate Cross-Correlation Metrics (NSC, RSC)
Call:
- mcp__qc-tools__run_phantompeakqualtools with:
: Path to BAM filebam_file
: ${proj_dir}/output_dir
Output:
${sample}_spp.txt, ${sample}_crosscorr.pdf
Step 2: Calculate the fraction of reads falling within peak regions.
Call:
- mcp__qc-tools__calculate_frip with: bam_file: Path to BAM file. peak_file: Path to Peak file (BED/narrowPeak/broadPeak). output_dir: ${proj_dir}/
Output:
${sample}_frip.txt