homer-motif-analysis

Discover de novo motifs and annotate genomic peaks with HOMER.

298|27|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/jaechang-hits/SciAgent-Skills --skill homer-motif-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: homer-motif-analysis
Source: https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/genomics-bioinformatics/homer-motif-analysis
Command: npx skills add https://github.com/jaechang-hits/SciAgent-Skills --skill homer-motif-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, matplotlib, seaborn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies regulatory DNA sequence patterns (motifs) enriched in genomic regions, helping to understand which transcription factors might be active.

Core Features & Use Cases

  • De Novo Motif Discovery: Finds novel, over-represented sequence patterns in your peak sets.
  • Known Motif Enrichment: Checks if your peaks match known transcription factor binding motifs from databases like JASPAR.
  • Peak Annotation: Assigns genomic features (promoters, introns, etc.) and nearest genes to your peaks.
  • Use Case: After performing ChIP-seq for a transcription factor, use this Skill to discover its binding motif and annotate the bound regions to nearby genes, validating your experiment and revealing regulatory targets.

Quick Start

Run de novo and known motif discovery on the provided ChIP-seq peak file using the hg38 genome.

Frequently Asked Questions about homer-motif-analysis

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

FAQPage Schema
How do I find over-represented transcription factor binding motifs in ChIP-seq peak sets?

To find over-represented transcription factor binding motifs in ChIP-seq peak sets, you need de novo motif discovery. This Skill uses the HOMER suite to identify enriched sequence patterns and annotate genomic peaks with nearby genes.

Can I perform known motif enrichment analysis on ATAC-seq data?

Yes, you can perform known motif enrichment analysis on ATAC-seq data. This Skill supports ATAC-seq peak sets to check if your regions match known transcription factor binding motifs from established databases.

What is the best way to annotate genomic peaks with promoters and nearest genes?

The best way to annotate genomic peaks with promoters and nearest genes is through peak annotation. This Skill assigns genomic features like promoters and introns to your peaks, revealing potential regulatory targets.

Does this motif discovery workflow support the hg38 genome?

Yes, this motif discovery workflow supports the hg38 genome. You can run both de novo and known motif discovery directly on your ChIP-seq or ATAC-seq peak files using the hg38 reference genome.

Do I need pre-processed genomic peak files to use for transcription factor binding site identification?

Yes, you need pre-processed genomic peak files for transcription factor binding site identification. This Skill takes peak sets as input to discover enriched DNA sequence patterns and identify active regulatory regions.