atac-seq-tn5-bias-correction

atac-seq-tn5-bias-correction is a skill for Claude Code, Codex from HolobiomicsLab/asb-skill-collections. It costs 42 tokens per session (1,561 once invoked), scanned A, original, Apache-2.0.

A correction step for raw ATAC-seq BAM files that removes sequence-dependent insertion preferences of Tn5, the enzyme used to cut accessible DNA. The corrected cut-site signal supports footprint analysis, which looks for patterns indicating transcription-factor binding.

In plain words
What is it for?
Use it before footprint scoring when you have an ATAC-seq BAM file, a reference genome, and peak annotations.
Why use it?
Uncorrected Tn5 bias can hide real binding patterns and create false positives in footprint and differential-binding results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it before footprint scoring when you have an ATAC-seq BAM file, a reference genome, and peak annotations.

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Install with agentmods
npx agentmods add skills/holobiomicslab/asb-skill-collections/atac-seq-tn5-bias-correction
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add HolobiomicsLab/asb-skill-collections --skill atac-seq-tn5-bias-correction
Clone the repo
git clone --depth 1 https://github.com/HolobiomicsLab/asb-skill-collections

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,561 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.01561
Opus 5 $0.00021 $0.00781
Sonnet 5 $0.00008 $0.00312
Haiku 4.5 $0.00004 $0.00156

Measured 12d ago against content hash 54c30e8e66f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

atac-seq-tn5-bias-correction scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

collections/epigenomics/v1/skills/atac-seq-tn5-bias-correction/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ATAC-seq Tn5 Insertion Bias Correction

Summary

Correct sequence-dependent Tn5 transposase insertion biases in ATAC-seq BAM files to produce unbiased genome-wide cutsite signals, enabling accurate downstream footprint detection and transcription factor occupancy analysis.

When to use

You have raw ATAC-seq BAM files and need to perform footprinting analysis to detect transcription factor binding through Tn5 insertion patterns. Apply this skill before calculating footprint scores or running differential binding detection, as uncorrected bias will obscure true protein-bound footprints and inflate false positives.

When NOT to use

  • Input BAM file is from a non-ATAC assay (e.g., ChIP-seq, DNase-seq) where Tn5 bias is not the dominant systematic error
  • You only have already-normalized ATAC-seq counts per peak and no access to the original BAM files with per-base cutsites
  • Peak annotations are unavailable or of very poor quality, making it impossible to define the chromatin accessibility context for bias estimation

Inputs

  • ATAC-seq BAM file (aligned reads with cutsites)
  • Reference genome FASTA file
  • Peak annotations BED file (chromatin accessibility regions)

Outputs

  • Uncorrected cutsite bigWig file
  • Tn5 insertion bias bigWig file
  • Expected signal bigWig file
  • Bias-corrected cutsite bigWig file
  • ATACorrect diagnostic PDF report

How to apply

Run TOBIAS ATACorrect on your BAM file, providing the aligned reads, reference genome in FASTA format, and peak annotations in BED format. The tool models the sequence preference of Tn5 transposase (which shows directional insertion bias at certain DNA sequences) and generates a bias track, expected signal track, and corrected cutsite signal. The corrected bigWig output represents the true Tn5 insertion pattern independent of sequence context, enabling reliable identification of the characteristic insertion depletion around protein-bound sites (footprints). Verify correction quality by visually inspecting the generated PDF report comparing uncorrected vs. corrected signals.

Read the full file on GitHub · 101 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 101 lines · 42 tokens per session scan A 54c30e8e66f5

Subscribe to this mod's changes

atac-seq-tn5-bias-correction is a skill published in the GitHub repository HolobiomicsLab/asb-skill-collections (15 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 1,561 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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