deeptools

Automate end-to-end NGS analysis workflows for ChIP-seq, RNA-seq, and ATAC-seq.

321|26|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/mkurman/tamux --skill deeptools-mkurman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deeptools
Source: https://github.com/mkurman/tamux/tree/main/skills/scientific-skills/deeptools
Command: npx skills add https://github.com/mkurman/tamux --skill deeptools-mkurman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Streamlines end-to-end NGS data analysis workflows by providing scalable, repeatable pipelines for QC, normalization, and visualization across ChIP-seq, RNA-seq, and ATAC-seq.

Core Features & Use Cases

  • BAM to bigWig conversion with normalization (RPGC/CPM) and genome-size configurability for ChIP-seq, RNA-seq, and ATAC-seq.
  • Comprehensive QC and visualization including correlation heatmaps, PCA plots, coverage assessment, and fragment-size analysis across multiple samples.
  • Template-driven workflows that generate ready-to-run scripts for ChIP-seq QC, ChIP-seq analysis, RNA-seq coverage, and ATAC-seq with Tn5 correction.
  • Rich references and documentation to support reproducible genomic analyses.

Quick Start

Install the required dependencies, then run the workflow generator to scaffold a starter pipeline tailored to your data.

Frequently Asked Questions about deeptools

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate end-to-end NGS data analysis workflows for ChIP-seq, RNA-seq, and ATAC-seq?

Automating NGS data analysis workflows involves using template-driven generators to scaffold ready-to-run pipelines. This streamlines QC, normalization, and visualization across ChIP-seq, RNA-seq, and ATAC-seq, ensuring reproducible multi-sample processing.

What is the best way to convert BAM files to bigWig for ChIP-seq and ATAC-seq normalization?

Converting BAM to bigWig requires applying normalization methods like RPGC or CPM with configurable genome sizes. This standardizes coverage tracks for ChIP-seq, RNA-seq, and ATAC-seq, enabling accurate multi-sample visualizations.

How do I generate correlation heatmaps and PCA plots for multi-sample NGS quality control?

Generating correlation heatmaps and PCA plots for NGS quality control requires comprehensive QC assessment across multiple samples. This includes fragment-size analysis and coverage evaluation to validate data reproducibility before downstream analysis.

Can I apply Tn5 correction and specific genome sizes when preparing ATAC-seq coverage tracks?

Applying Tn5 correction for ATAC-seq uses ready-to-run workflow templates that incorporate configurable genome sizes. This ensures accurate coverage track generation and normalization tailored to ATAC-seq specific processing requirements.

Does this NGS workflow generator support input validation and modular components for reproducible genomic analyses?

Input validation and modular components like scripts, references, and assets are integrated directly into the NGS workflow generator. This design ensures scalable project setup and reproducible genomic analyses across multiple sequencing assays.