This skill performs complete ATAC-seq data quality control from BAM and
Scanned 9/4/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry-data --skill 4-atacseq-qc --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of 4 Atacseq Qc?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/majiayu000-4-atacseq-qc-claude-skill-registry-data)More formats (shields.io, HTML) on the badges page.
---
name: 4-atacseq-qc
description: This skill performs complete ATAC-seq data quality control from BAM and
peak files.
---
---
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
```bash
${sample}.bam # filtered bam files
${sample}.narrowPeak
```
### Outputs
```bash
all_atac_qc/
${sample}_qc_results/
ataqv_metrics.json
ataqv_report.html/
temp/
```
---
## Decision Tree
### Step 0: Initialize Project
Call:
- `mcp__project-init-tools__project_init`
with:
- `sample`: all
- `task`: atac_qc
- `genome`: provided by user
The tool will:
- Create`all_atac_qc` directory.
- Return the full path of the `all_atac_qc` directory, which will be used as `${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
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!