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pipeline-dnaseseq

Automate DNase-seq analysis from FASTQ files to open chromatin peaks.

26|5|Updated Mar 8, 2026
Search Tags:#bioinformatics#footprinting#peak calling#ENCODE#chromatin accessibility#dnase-seq
One-click install
npx skills add https://github.com/ammawla/encode-toolkit --skill pipeline-dnaseseq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pipeline-dnaseseq
Source: https://github.com/ammawla/encode-toolkit/tree/main/plugin/skills/pipeline-dnaseseq
Command: npx skills add https://github.com/ammawla/encode-toolkit --skill pipeline-dnaseseq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires samtools, bwa, picard, bedtools, hotspot2, rgt-hint, fastqc, multiqc, wget, and includes scripts (resource) and references (resource) components.

What problem does it solve?

It streamlines and automates the processing of DNase-seq data to identify accessible chromatin regions, saving researchers time and ensuring consistency.

Core Features & Use Cases

  • End-to-End Workflow: Accepts raw FASTQ files and performs quality control, alignment, filtering, peak calling, and footprinting.
  • Application: Suitable for projects analyzing chromatin accessibility in human samples, especially within the ENCODE framework, to discover regulatory elements and TF binding sites.
  • Technical Scope: Implements a reproducible pipeline with support for Docker and Nextflow for scalable deployment in local, HPC, or cloud environments.

Quick Start

Run the DNase-seq analysis pipeline on your FASTQ files with a single command to generate accessibility peaks and footprints.

Frequently Asked Questions about pipeline-dnaseseq

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

FAQPage Schema
How do I automate DNase-seq analysis from FASTQ files to peak calling?▼

To automate DNase-seq analysis, this pipeline processes raw FASTQ files through quality control, alignment, filtering, peak calling, and footprinting to identify open chromatin regions and transcription factor binding sites.

What is the best way to identify chromatin accessibility and TF binding sites within the ENCODE framework?▼

Identifying chromatin accessibility within the ENCODE framework requires a reproducible pipeline that integrates quality control, alignment, and peak calling to reliably discover regulatory elements and transcription factor binding sites.

Can I use this DNase-seq pipeline for scalable deployment on HPC or cloud environments?▼

Yes, you can use this DNase-seq pipeline for scalable deployment across local, HPC, or cloud environments, as it implements support for Docker and Nextflow to ensure reproducible execution.

Does the chromatin accessibility pipeline integrate with tools like hotspot2 and rgt-hint for footprinting?▼

Yes, the chromatin accessibility pipeline integrates with hotspot2 for peak calling and rgt-hint for footprinting, combining these steps to identify accessible chromatin regions and transcription factor binding sites.

Do I need Docker or Nextflow to run this chromatin accessibility analysis pipeline?▼

You need Docker and Nextflow to ensure reliable, reproducible, and scalable execution of the chromatin accessibility analysis pipeline across various computational environments.

Why use a dedicated pipeline instead of manually running bwa and bedtools for DNase-seq data?▼

A dedicated DNase-seq pipeline ensures consistency and saves time by automating the sequence of quality control, bwa alignment, bedtools filtering, and footprinting steps, streamlining the discovery of open chromatin regions.

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