ArticleFrontiers in bioinformatics2026
ChromTag: an interactive R-shiny platform for analysis and visualization of CUT&Tag and ChIP-seq peak profiling data.
Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Chromatin profiling technologies such as CUT&Tag and ChIP-seq have greatly advanced epigenomic research by enabling genome-wide mapping of histone modifications and transcription factor binding, providing key insights into gene regulation, cellular differentiation, and disease mechanisms. However, interpreting these datasets remains difficult for many researchers due to the technical expertise required for data processing and analysis. To address this limitation, we developed ChromTag, an interactive web-based application built with R Shiny for the comprehensive exploration and visualization of CUT&Tag and other epigenomic profiling datasets. Using a modular workflow, ChromTag performs differential peak detection, assigns peaks to nearby genes based on user-defined genomic windows, and supports ORA-based GO and KEGG enrichment analysis and preranked GSEA using gene-level summaries derived from peak annotation. The platform separates upregulated and downregulated regions to distinguish activated from repressed regulatory pathways and incorporates motif enrichment analysis to highlight transcription factors that may cooperate with chromatin modifications to influence gene expression. ChromTag currently supports human, mouse, and
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