Unnamed Skill

Performs ATAC-specific biological validation. It calculates metrics unique to chromatin accessibility assays, such as TSS enrichment scores and fragment size distributions (nucleosome banding patterns). Use this skill when you have filtered BAM file and have called peak for the file. Do NOT use this skill for ChIP-seq data or general alignment statistics.

$ インストール

git clone https://github.com/BIsnake2001/ChromSkills /tmp/ChromSkills && cp -r /tmp/ChromSkills/4.ATACseq-QC ~/.claude/skills/ChromSkills

// tip: Run this command in your terminal to install the skill


name: ATACseq-QC description:Performs ATAC-specific biological validation. It calculates metrics unique to chromatin accessibility assays, such as TSS enrichment scores and fragment size distributions (nucleosome banding patterns). Use this skill when you have filtered BAM file and have called peak for the file. Do NOT use this skill for ChIP-seq data or general alignment statistics.

ATAC-seq Quality Control

Overview

This skill performs complete ATAC-seq data quality control from BAM 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.
  • Always prompt user for genome assembly used. Never decide by yourself.
  • Generate TSS files according to genome assembly.
  • Compute TSS enrichment, fragment distribution and FRiP.

Inputs & Outputs

Inputs

${sample}.bam # filtered bam files
${sample}.narrowPeak

Outputs

all_atac_qc/
    ${sample}_qc_results/
        ataqv_metrics.json
        ataqv_report.html/
    temp/

Decision Tree

Step 0: Initialize Project

Call:

  • mcp__project-init-tools__project_init

with:

  • sample: all
  • task: atac_qc
  • genome: provided by user

The tool will:

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

Step 1: Detect the name logic of the chromosomes in BAM file (have "chr" as prefix or not)

samtools view <sample>.bam | head -n 10 | cut -f 3

Step 2: Generate reference files

Call:

  • mcp__qc-tools__generate_reference

with:

  • genome: Genome name (e.g., hg38), provided by user
  • temp_dir: ${proj_dir}/temp
  • bam_uses_chr: True if BAM uses 'chr' prefix (chr1), False if not (1).

Step 3: Peform quality control for the ATAC-seq data

Call:

  • mcp__qc-tools__run_ataqv_qc

  • bam_file: Path to filtered BAM file

  • peak_file: Path to peak file (narrowPeak) corresponding to the BAM file

  • tss_file: ${proj_dir}/temp/${genome}.tss

  • species: Species used, choose from (fly, human, mouse, rat, worm, yeast)

  • bam_uses_chr: True if BAM uses 'chr' prefix (chr1), False if not (1).

  • output_dir: ${proj_dir}/${sample}_qc_results

  • autosomal_ref_path: Provided if bam_uses_chr is False, ${proj_dir}/temp/${genome}.autosomal.ref