fragment-length-estimation-from-read-pairs

fragment-length-estimation-from-read-pairs is a skill for Claude Code, Codex from HolobiomicsLab/asb-skill-collections. It costs 67 tokens per session (1,451 once invoked), scanned A, original, Apache-2.0.

A ChIP-seq analysis step that calculates the average DNA fragment length directly from paired-end read coordinates. Paired-end sequencing reads both ends of each fragment.

In plain words
What is it for?
Use it with paired-end ChIP-seq data in BEDPE format before peak calling.
Why use it?
The observed distance between read pairs provides the fragment length needed for accurate coverage and peak calling. This avoids relying on a default or manually supplied value.

Skill for Claude CodeCodex

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

Good fit Use it with paired-end ChIP-seq data in BEDPE format before peak calling.

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Install with agentmods
npx agentmods add skills/holobiomicslab/asb-skill-collections/fragment-length-estimation-from-read-pairs
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 fragment-length-estimation-from-read-pairs
Clone the repo
git clone --depth 1 https://github.com/HolobiomicsLab/asb-skill-collections

Made for: Claude Code, Codex.

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README.md
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Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,451 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 $0.00067 $0.01451
Opus 5 $0.00034 $0.00726
Sonnet 5 $0.00013 $0.00290
Haiku 4.5 $0.00007 $0.00145

Measured 9d ago against content hash 735dad54bc4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fragment-length-estimation-from-read-pairs 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 9d 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/fragment-length-estimation-from-read-pairs/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

fragment-length-estimation-from-read-pairs

Summary

Estimate the average sequencing fragment length from paired-end ChIP-Seq reads using cross-correlation analysis of read pair coordinates. This is a critical preliminary step that informs downstream pileup extension and peak calling sensitivity in ChIP-Seq analysis.

When to use

Apply this skill when you have paired-end ChIP-Seq data (BEDPE format) and need to determine the empirical fragment length (insertion length) before peak calling. This is mandatory for paired-end ChIP-Seq workflows to ensure MACS3 correctly extends coverage tracks and calculates local bias; it is especially important when the biological fragment length is unknown or expected to deviate significantly from default assumptions.

When NOT to use

  • Input is single-end ChIP-Seq data (SAM, BAM, or BED format without read-pair information); fragment length estimation requires paired-end coordinate information.
  • Fragment length has already been determined by external methods (e.g., Illumina fragment analyzer) and is being supplied manually via --extsize parameter; predictd estimation is redundant.
  • Sample is a control/input library rather than the ChIP library; the article states predictd should be applied only to ChIP data, not controls.

Inputs

  • BEDPE file (paired-end ChIP sample, e.g., CTCF_PE_ChIP_chr22_50k.bedpe.gz)

Outputs

  • Fragment length estimate (scalar, reported in base pairs)
  • Cross-correlation profile (internal, used to determine d)

How to apply

Run macs3 predictd with the -f BEDPE flag on the paired-end ChIP sample to estimate the average insertion length via cross-correlation of forward and reverse reads. The subcommand analyzes the distribution of distances between paired reads and outputs a single fragment length estimate (typically reported in base pairs, e.g., ~253 bp for the CTCF_PE_ChIP_chr22_50k.bedpe.gz dataset). Record this estimated fragment length for use in subsequent macs3 callpeak and macs3 pileup steps. The estimated value should be validated against known biology (e.g., typical ChIP sonication fragment sizes) and inspected for outliers that suggest read-pair artifacts or misalignment. When fragment length is successfully estimated, proceed to peak calling without manually specifying --extsize in callpeak mode, allowing the paired-end mode to automatically handle fragment extent during pileup.

Read the full file on GitHub · 94 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. 9d ago First seen · 94 lines · 67 tokens per session scan A 735dad54bc4a

Subscribe to this mod's changes

fragment-length-estimation-from-read-pairs is a skill published in the GitHub repository HolobiomicsLab/asb-skill-collections (15 stars, last pushed 2d ago), licensed Apache-2.0. It adds 67 tokens to every session and 1,451 once invoked, about $0.0003 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 2026-09-03.

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