pipeline-hic

Convert raw Hi-C sequencing reads into contact matrices, TADs, and loops.

26|5|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/ammawla/encode-toolkit --skill pipeline-hic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pipeline-hic
Source: https://github.com/ammawla/encode-toolkit/tree/main/plugin/skills/pipeline-hic
Command: npx skills add https://github.com/ammawla/encode-toolkit --skill pipeline-hic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bwa, pairtools, juicer_tools, cooler, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables researchers to convert raw Hi-C sequencing data into detailed contact matrices, identify topologically associating domains, and detect chromatin loops, facilitating the study of 3D genome structure.

Core Features & Use Cases

  • Hi-C Data Processing: From raw FASTQ files to multi-resolution contact maps in .hic and .mcool formats.
  • Loop and TAD Detection: Call chromatin loops with HiCCUPS and identify TAD boundaries for genome organization analysis.
  • Use Case: A researcher wants to analyze chromatin interactions in a specific cell line, generating contact matrices and loops for visualization and downstream functional annotation.

Quick Start

Load the raw Hi-C FASTQ files, specify reference genome and restriction enzyme, and run the Nextflow pipeline to generate contact matrices, loop calls, and quality metrics.

Frequently Asked Questions about pipeline-hic

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

FAQPage Schema
How do I process raw Hi-C FASTQ files into multi-resolution contact matrices?

To process raw Hi-C FASTQ files into multi-resolution contact matrices, load the reads, specify the reference genome and restriction enzyme, and run the pipeline to generate .hic and .mcool formats. This workflow depends on BWA, pairtools, and cooler.

Can I detect chromatin loops and TAD boundaries from Hi-C data using Juicer tools?

Yes, you can detect chromatin loops and TAD boundaries using Juicer tools. The pipeline utilizes HiCCUPS for loop calling and identifies topologically associating domains to facilitate 3D genome structure and regulatory element analysis.

What bioinformatics dependencies do I need to analyze 3D genome structure?

To analyze 3D genome structure, you need BWA, pairtools, Juicer tools, and cooler libraries. These dependencies facilitate read alignment, pairing, multi-resolution matrix generation, and loop detection for reproducible chromatin conformation analysis.

Does this Hi-C pipeline work with specific cell lines for chromatin interaction analysis?

Yes, this Hi-C pipeline works with specific cell lines for chromatin interaction analysis. You can generate contact matrices and loop calls for visualization and downstream functional annotation tailored to your chosen cell line's genome organization.

What is the best way to generate quality metrics for chromatin conformation data?

The best way to generate quality metrics for chromatin conformation data is by running the Nextflow pipeline. It processes raw reads into contact maps while automatically producing quality metrics for data quality assessment and 3D genome analysis.