---

name: ChIPseq-QC description: 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.

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 ${proj_dir} in Step 0.
• Perform cross-correlation analysis to calculate NSC and RSC.
• Compute FRiP (Fraction of Reads in Peaks) using peak files and aligned BAMs.

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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:

• sample: all
• task: atac_qc

The tool will:

• Createall_chip_qc directory.
• Return the full path of the all_chip_qc directory, which will be used as ${proj_dir}.

Step 1: Calculate Cross-Correlation Metrics (NSC, RSC)

Call:

• mcp__qc-tools__run_phantompeakqualtools with:
• bam_file: Path to BAM file
• output_dir: ${proj_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