tf-footprint-differential-analysis

Identify differential transcription factor occupancy from ATAC footprint analyses across conditions.

1|Updated Nov 20, 2025
One-click install
npx skills add https://github.com/tony-zhelonkin/SciAgent-toolkit --skill tf-footprint-differential-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tf-footprint-differential-analysis
Source: https://github.com/tony-zhelonkin/SciAgent-toolkit/tree/main/skills/tf-footprint-differential-analysis
Command: npx skills add https://github.com/tony-zhelonkin/SciAgent-toolkit --skill tf-footprint-differential-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This capability identifies and quantifies transcription factor occupancy from ATAC-seq footprint analyses, enabling rigorous validation of open-chromatin signals by measuring actual TF binding across conditions.

Core Features & Use Cases

  • TOBIAS-based pseudobulk workflow (ATACorrect, ScoreBigwig, BINDetect) for differential TF binding.
  • Optional support for HINT-ATAC and Signac Footprint() visualization to corroborate occupancy findings.
  • Use cases include validating regulatory TFs between WT vs KO or treated vs control and generating occupancy-focused reports.

Quick Start

Run footprints differential analysis to compare TF binding across conditions using pseudobulk ATAC BAMs.

Frequently Asked Questions about tf-footprint-differential-analysis

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

FAQPage Schema
How do I identify differential transcription factor occupancy from ATAC-seq data?

Differential transcription factor occupancy from ATAC-seq data is identified by running TOBIAS ATACorrect and ScoreBigwig on pseudobulk BAM files to quantify and compare TF footprints across conditions like WT versus KO.

What is the best way to validate open-chromatin signals by measuring TF binding in treated versus control samples?

Validating open-chromatin signals requires measuring actual TF binding across treated versus control conditions. This is achieved by running pseudobulk ATAC-seq differential binding analyses to detect changes in TF occupancy at regulatory regions.

Can I use HINT-ATAC or Signac for footprint visualization alongside TOBIAS BINDetect?

Yes, you can use HINT-ATAC or Signac Footprint() for footprint visualization to corroborate occupancy findings. These serve as optional visualization steps alongside the core TOBIAS ATACorrect, ScoreBigwig, and BINDetect differential binding workflow.

Do I need pseudobulk ATAC-seq BAM files to run differential TF footprinting analysis?

Yes, you need pseudobulk ATAC-seq BAM files to run differential TF footprinting analysis. The workflow compares conditions such as treated versus control by applying TOBIAS tools to these aggregated BAM files to validate TF occupancy at regulatory regions.

What does the TOBIAS BINDetect workflow output for differential binding comparisons?

The TOBIAS BINDetect workflow outputs occupancy-focused reports quantifying differential TF binding across compared conditions. It processes ATAC footprints to validate regulatory TF occupancy changes between samples like WT and KO.