TFEA.ChIP: a tool kit for transcription factor binding site enrichment analysis capitalizing on ChIP-seq datasets

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• Identifying transcription regulators (TRs) co-regulating gene sets is crucial in genomic analysis.
• Existing tools may lack customizability and performance in TR enrichment analysis.

Purpose of the Study:

• To introduce TFEA.ChIP, a novel tool for estimating and visualizing TR enrichment from ChIP-seq data.
• To validate the performance of TFEA.ChIP in identifying relevant TRs across various genetic and chemical perturbations.

Main Methods:

• TFEA.ChIP utilizes ChIP-seq datasets to analyze gene lists representing transcriptional profiles.
• Validation involved diverse gene sets from genetic and chemical perturbations.
• Performance was compared against other TR enrichment tools.

Main Results:

• TFEA.ChIP successfully identified the correct TR in 126 out of 174 analyzed gene sets.
• The tool demonstrated high customizability and superior performance compared to existing methods.
• TR enrichment was accurately estimated and visualized.

Conclusions:

• TFEA.ChIP is a powerful and customizable tool for identifying transcription regulators.
• Its high accuracy and performance make it a valuable asset for genomic and transcriptional profile analysis.
• The R package and web GUI enhance accessibility for researchers.