Evidence map›Paper›PMID 42428152›Full record

ArticleFrontiers in bioinformatics2026

ChromTag: an interactive R-shiny platform for analysis and visualization of CUT&Tag and ChIP-seq peak profiling data.

Siwen Xu, Qingyan Zou, Rui Shi, Jieru Huang, Zixiao Lu, Jin Yang

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Siwen Xu *School of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, China.
Qingyan Zou *School of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, China.
Rui ShiSchool of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China.
Jieru HuangSchool of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, China.
Zixiao LuSchool of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jin YangSchool of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

chromatin profilingCut&Tagepigenomic analysisgene regulationR shiny web applicationvisualization platform

Identifiers

PMID42428152
PMCPMC13346215

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.