known-motif-enrichment

Identify known transcription factor motif enrichments in genomic peak regions using HOMER.

12|3|Updated Nov 4, 2025
One-click install
npx skills add https://github.com/BIsnake2001/ChromSkills --skill known-motif-enrichment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: known-motif-enrichment
Source: https://github.com/BIsnake2001/ChromSkills/tree/main/13_toolBased.known-motif-enrichment
Command: npx skills add https://github.com/BIsnake2001/ChromSkills --skill known-motif-enrichment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performs known motif enrichment analysis on genomic peaks or promoter regions using HOMER, identifying enrichment of known transcription factor motifs from established databases.

Core Features & Use Cases

  • HOMER-based motif enrichment: detects enrichment of known TF motifs in peak sets or promoter regions.
  • Flexible inputs: accepts BED, narrowPeak, broadPeak, or gene lists for promoter-focused analysis.
  • Comprehensive outputs: produces results directories with motif tables, logos, and detailed logs for reproducibility.
  • Typical use case: discover TFs likely driving regulation in ChIP-seq or ATAC-seq peak data.

Quick Start

Provide your input peak file (BED, narrowPeak, or broadPeak) or a gene list and run the HOMER-based known motif enrichment workflow to generate results.

Frequently Asked Questions about known-motif-enrichment

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

FAQPage Schema
How do I perform known motif enrichment on ATAC-seq or ChIP-seq peaks?

Known motif enrichment on ATAC-seq or ChIP-seq peaks identifies transcription factor motifs by comparing peak regions against established databases using HOMER. You provide BED, narrowPeak, broadPeak, or gene lists to generate motif tables, logos, and logs.

What input formats are accepted for HOMER motif enrichment analysis?

HOMER motif enrichment analysis accepts BED, narrowPeak, broadPeak, and gene lists as input formats. Gene lists enable promoter-focused motif analysis, while peak files facilitate direct detection of known transcription factor motif enrichments in genomic regions.

Can I use a gene list instead of peak files for known motif enrichment?

You can use a gene list for known motif enrichment to perform promoter-focused analysis. HOMER analyzes promoter regions associated with the provided genes to identify enriched known transcription factor motifs from established databases.

What outputs are generated by HOMER known motif enrichment?

HOMER known motif enrichment generates a project directory containing homerResults, logs, and parameter files. These outputs include motif tables, motif logos, and detailed logs to ensure comprehensive reproducibility of the transcription factor enrichment analysis.

Does HOMER motif enrichment support genome specification for custom datasets?

HOMER motif enrichment supports optional genome specification for analyzing custom datasets. This allows the enrichment workflow to correctly map BED, narrowPeak, broadPeak, or gene list inputs against the appropriate genomic reference during known motif detection.

Why use known motif enrichment instead of de novo motif discovery for ChIP-seq?

Known motif enrichment compares ChIP-seq peaks against established transcription factor databases, providing direct identification of driving TFs. This approach offers faster, targeted results compared to open-ended discovery when seeking known regulatory motifs.