ChIPbinner: an R package for analyzing broad histone marks binned in uniform windows from ChIP-Seq or CUT&RUN/TAG data
Binned analysis provides a more holistic view of the genomic landscape, allowing researchers to uncover broader patterns and correlations that may be missed when solely focusing on individual peaks. ChIPbinner offers researchers a convenient tool to perform binned analysis. It improves on previously published software by providing a clustering approach that is independent of each bin's differential enrichment status and more precisely identifies differentially bound regions for broad histone marks, while also offering additional features for downstream analysis of these differentially enriched bins.
Authors
- Bo Hu (ORCID: https://orcid.org/0000-0001-5193-3511)
- Reinnier Padilla (ORCID: https://orcid.org/0009-0005-5646-5450)
- Jacek Majewski (ORCID: https://orcid.org/0000-0003-3572-9558)
- Eric Bareke
Institutions
- Bristol-Myers Squibb (Germany) (DE)
- McGill Genome Centre (CA)
- Predictive Science (United States) (US)
- McGill University (CA)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1186/s12859-025-06103-6
- Citations
- 2
- Primary Topic
- Genomics and Chromatin Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- National Institutes of Health
- Canadian Institutes of Health Research
- Fonds de Recherche du Québec - Santé