Wang, B., Al-Jabri, M., Gk, U. et al. (2 more authors) (2026) ChromCall: assigning chromatin status to defined genomic regions using epigenomic profiling data. Bioinformatics. ISSN: 1367-4803 (In Press)
Abstract
Motivation Chromatin regulation is crucial for modulating gene expression and cellular function by altering DNA accessibility. Defining and understanding chromatin regulation across diverse biological conditions, including health and disease, requires quantification of both the presence and enrichment level of diverse DNA-binding factors and chromatin modifications across defined genomic regions. Existing approaches mainly rely on peak-based or genome-wide models, which identify high-signal regions but do not annotate chromatin status at predefined functional genomic regions, such as promoters or enhancers. This lack of region-based annotation limits downstream comparative and integrative analyses across multiple factors and datasets, prompting us to create ChromCall.
Results ChromCall is an R package for region-based chromatin enrichment analysis that provides a robust and extensible foundation for transparent and reproducible epigenomic profiling at predefined genomic regions. We applied ChromCall to ChIP-seq data from glioblastoma (GBM) brain tumours and found that the promoters of genes implicated in treatment resistance are significantly more likely to exhibit a combination of histone marks associated with phenotypic plasticity. This highlights a potential novel mechanism of therapeutic escape in these deadly tumours.
Availability and Implementation The R package is available on https://github.com/GliomaGenomics/ChromCall and the version used in this paper is archived at https://doi.org/10.5281/zenodo.19580967
Supplementary Information None
Metadata
| Item Type: | Article |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) |
| Date Deposited: | 04 Jun 2026 15:04 |
| Last Modified: | 04 Jun 2026 15:04 |
| Status: | In Press |
| Publisher: | Oxford University Press (OUP) |
| Identification Number: | 10.1093/bioinformatics/btag336 |
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| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:241680 |


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