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Atac Seq Agent Skill

ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.

1k tokens
context cost
the whole folder, loaded on every use
3
files
instructions only
0
copies elsewhere
how many repositories repackaged it
132
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/BioTender-max/awesome-bio-agent-skills --skill atac-seq

What comes with it

1 334 bytes besides the instruction
commands_and_thresholds.md
technical_reference.md

The instruction itself

22 sections, as written by the author

ATAC Seq

Version Compatibility

Reference examples assume:

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

Verify the runtime first:

  • CLI: macs3 --version, samtools --version, bamCoverage --version

Overview

Use this skill when the user needs:

  • bulk ATAC-seq QC
  • peak calling
  • accessibility counting
  • differential accessibility
  • motif deviation or footprint follow-up

When To Use This Skill

  • the task is bulk ATAC-seq rather than ChIP-seq
  • TSS enrichment, fragment periodicity, or FRiP need review
  • the output should include peaks, counts, and downstream accessibility summaries

Quick Route

  • paired-end bulk ATAC: use BAMPE
  • call peaks without control using ATAC-specific settings
  • if TSS enrichment is poor, stop and flag data quality before interpretation

Progressive Disclosure

  • Read technical_reference.md for QC gates and assay-specific caveats.
  • Read commands_and_thresholds.md for peak-calling commands, thresholds, and output conventions.

Prerequisites

| Check | Guidance |

|---|---:|

| uniquely mapped reads | >= 20M preferred for strong bulk ATAC |

| TSS enrichment | > 7 acceptable, > 10 strong |

| FRiP | > 0.2 often strong for good bulk ATAC |

Expected Inputs

  • paired-end ATAC BAM or FASTQ
  • reference genome
  • sample groups for comparisons

Expected Outputs

  • results/peaks/sample_peaks.narrowPeak
  • results/matrix/consensus_peak_counts.tsv
  • results/diff_accessibility.tsv
  • figures/tss_enrichment.pdf
  • figures/fragment_size_distribution.pdf

Starter Pattern

macs3 callpeak \
  -t atac.bam \
  -f BAMPE \
  -g hs \
  -n sample \
  --nomodel \
  --shift -100 \
  --extsize 200 \
  -q 0.01 \
  --outdir results/peaks

Key Parameters

| Parameter | Typical value | Notes |

|---|---|---|

| -f | BAMPE | paired-end ATAC should use fragment-aware mode |

| --nomodel | on | standard for ATAC |

| --shift | -100 | common Tn5 offset convention |

| --extsize | 200 | common first-pass extension |

| -q | 0.01 | starting FDR threshold |

Workflow

1. Validate assay QC

Review:

  • TSS enrichment
  • fragment size periodicity
  • duplication
  • mapped read depth

2. Call peaks with ATAC-specific settings

Use fragment-aware paired-end mode and Tn5-aware shifting or equivalent settings.

3. Build a consensus peak matrix

Merge peaks across samples, count fragments into consensus intervals, then produce a peak-by-sample matrix.

4. Test differential accessibility

Use replicate-aware statistics and report both effect size and adjusted significance.

5. Run motif or footprint follow-up

Only after peak quality and read depth support it.

Output Artifacts

results/
├── peaks/
│   ├── sample_peaks.narrowPeak
│   └── sample_summits.bed
├── matrix/
│   └── consensus_peak_counts.tsv
└── diff_accessibility.tsv
qc/
├── tss_enrichment.tsv
└── fragment_metrics.tsv
figures/
├── tss_enrichment.pdf
└── fragment_size_distribution.pdf

Quality Review

  • TSS enrichment below 7 should trigger caution.
  • Strong nucleosome periodicity supports a good bulk ATAC library.
  • FRiP below 0.1 is usually weak and needs scrutiny.
  • Footprinting should not be trusted on low-depth or poor-quality libraries.

Anti-Patterns

  • using generic ChIP peak-calling defaults for ATAC
  • running footprinting on weak libraries
  • skipping TSS enrichment review
  • merging peaks from mixed reference builds
  • ChIP Seq
  • Gene Regulatory Networks
  • Multiome And scATAC

Optional Supplements

  • deeptools
  • pysam

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How to use it

Copy the folder

Take biotender-max/atac-seq from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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