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pipeline-chipseq

Automate ChIP-seq analysis from raw reads to peak calling with ENCODE guidelines.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bwa, samtools, picard, macs2, idr, deepTools, phantompeakqualtools, bedtools, nextflow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the end-to-end processing of ChIP-seq data, ensuring high-quality, reproducible peak calling aligned with ENCODE standards.

Core Features & Use Cases

  • Data Processing: Runs quality control, alignment, filtering, deduplication, and peak calling on ChIP-seq datasets.
  • Reproducibility & QC: Implements IDR analysis, computes QC metrics (FRiP, NSC, RSC, NRF), and provides comprehensive reports.
  • Use Case: Researchers can process raw FASTQ files from experimental outputs to generate reliable peak datasets for downstream functional annotation or comparative analysis.

Quick Start

Process your ChIP-seq FASTQ files by specifying input files, genome assembly, and peak mode (narrow or broad) in a single command with the appropriate profile.

Frequently Asked Questions about pipeline-chipseq

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

FAQPage Schema
How do I process ChIP-seq raw reads for peak calling following ENCODE guidelines?▼

You can process ChIP-seq raw reads by running an automated workflow that handles quality control, alignment, deduplication, and peak calling to generate validated, publication-ready datasets compliant with ENCODE guidelines.

What ChIP-seq quality control metrics are required for reproducible peak calling?▼

Reproducible ChIP-seq peak calling requires calculating QC metrics like FRiP, NSC, RSC, and NRF, alongside IDR analysis, to validate datasets and ensure standards-compliant results.

How do I run a Nextflow ChIP-seq pipeline for narrow vs broad peak detection?▼

You can run a Nextflow ChIP-seq pipeline by specifying your input FASTQ files, genome assembly, and peak mode, allowing the workflow to automatically execute alignment and MACS2 peak calling.

Can I use BWA and MACS2 together for an end-to-end ChIP-seq analysis workflow?▼

Yes, you can use BWA and MACS2 together within an automated Nextflow workflow that integrates alignment, filtering, deduplication, and peak calling to process epigenomic datasets end-to-end.

Does the ENCODE ChIP-seq workflow support both narrow and broad peak analysis?▼

Yes, the ENCODE ChIP-seq workflow supports both narrow and broad peak analysis modes, allowing researchers to process transcription factor and epigenomic datasets by specifying the desired mode.

What is the best way to automate IDR analysis for ChIP-seq datasets?▼

The best way to automate IDR analysis is using a standardized pipeline that integrates phantompeakqualtools and IDR tools to compute quality metrics and validate reproducible peak datasets.

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