deeptools

A toolkit for analyzing high-throughput sequencing data, which contains many DNA or RNA reads. It processes files, checks sample quality, compares samples, and creates genomic visualizations for experiments such as ChIP-seq, RNA-seq, and ATAC-seq.

In plain words
What is it for?
Use it to convert BAM files into bigWig or bedGraph tracks, run correlation, PCA, fingerprint, and coverage checks, and create heatmaps or profiles around genomic regions.
Why use it?
It turns raw alignment data into normalized coverage tracks and comparable quality and signal plots, making sequencing results easier to assess.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/synthetic-sciences/openscience/deeptools
Any agent
npx skills add synthetic-sciences/openscience --skill deeptools
Clone the repo
git clone --depth 1 https://github.com/synthetic-sciences/openscience

Made for: Claude Code, Codex.

Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,233 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00051 $0.04233
Opus 5 $0.00026 $0.02116
Sonnet 5 $0.00010 $0.00847
Haiku 4.5 $0.00005 $0.00423

Measured 2d ago against content hash 153da92fdc43, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deeptools 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 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/validate_files.py, scripts/workflow_generator.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

backend/cli/skills/biology/deeptools/SKILL.md · 531 lines

How it starts

The opening of the file, as written. The whole thing — 531 lines — stays where its author put it; the contents beside it link to each section on GitHub.

deepTools: NGS Data Analysis Toolkit

Overview

deepTools is a comprehensive suite of Python command-line tools designed for processing and analyzing high-throughput sequencing data. Use deepTools to perform quality control, normalize data, compare samples, and generate publication-quality visualizations for ChIP-seq, RNA-seq, ATAC-seq, MNase-seq, and other NGS experiments.

Core capabilities:

  • Convert BAM alignments to normalized coverage tracks (bigWig/bedGraph)
  • Quality control assessment (fingerprint, correlation, coverage)
  • Sample comparison and correlation analysis
  • Heatmap and profile plot generation around genomic features
  • Enrichment analysis and peak region visualization

When to Use This Skill

This skill should be used when:

  • File conversion: "Convert BAM to bigWig", "generate coverage tracks", "normalize ChIP-seq data"
  • Quality control: "check ChIP quality", "compare replicates", "assess sequencing depth", "QC analysis"
  • Visualization: "create heatmap around TSS", "plot ChIP signal", "visualize enrichment", "generate profile plot"
  • Sample comparison: "compare treatment vs control", "correlate samples", "PCA analysis"
  • Analysis workflows: "analyze ChIP-seq data", "RNA-seq coverage", "ATAC-seq analysis", "complete workflow"
  • Working with specific file types: BAM files, bigWig files, BED region files in genomics context

Quick Start

For users new to deepTools, start with file validation and common workflows:

1. Validate Input Files

Before running any analysis, validate BAM, bigWig, and BED files using the validation script:

python scripts/validate_files.py --bam sample1.bam sample2.bam --bed regions.bed

This checks file existence, BAM indices, and format correctness.

2. Generate Workflow Template

For standard analyses, use the workflow generator to create customized scripts:

# List available workflows
python scripts/workflow_generator.py --list

# Generate ChIP-seq QC workflow
python scripts/workflow_generator.py chipseq_qc -o qc_workflow.sh \
    --input-bam Input.bam --chip-bams "ChIP1.bam ChIP2.bam" \
    --genome-size 2913022398

# Make executable and run
chmod +x qc_workflow.sh
./qc_workflow.sh

Read the full file on GitHub · 531 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 531 lines · 51 tokens per session scan A 153da92fdc43

Subscribe to this mod's changes

deeptools is a skill published in the GitHub repository synthetic-sciences/openscience (3,385 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 4,233 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 2026-08-30.

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