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Updated: May 26, 2026

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An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
Published on: April 5, 2018
ChromCall: assigning chromatin status to defined genomic regions using epigenomic profiling data
Bo Wang1, Muna Al-Jabri1, Udayaraja Gk1,2
1University of Leeds, Leeds, LS9 7TF, United Kingdom.
Bioinformatics (Oxford, England)
|May 24, 2026
Summary
ChromCall is a new R package for analyzing chromatin enrichment at specific genomic regions. It reveals histone mark combinations in glioblastoma promoters linked to treatment resistance and potential therapeutic escape.
Area of Science:
- Epigenetics and Genomics
- Computational Biology
- Cancer Research
Background:
- Chromatin regulation is vital for gene expression and cellular function.
- Current methods lack region-specific chromatin annotation, hindering analysis.
- This gap necessitates tools for detailed epigenomic profiling.
Purpose of the Study:
- Introduce ChromCall, an R package for region-based chromatin enrichment analysis.
- Enable transparent and reproducible epigenomic profiling at predefined genomic regions.
- Facilitate comparative and integrative analyses across multiple factors and datasets.
Main Methods:
- Development of the ChromCall R package for region-based analysis.
- Application of ChromCall to ChIP-seq data from glioblastoma (GBM) samples.
- Statistical analysis of histone mark enrichment at predefined genomic regions.
Main Results:
- ChromCall provides robust and extensible epigenomic profiling.
- Analysis of GBM data identified specific histone mark combinations at gene promoters.
- These combinations are linked to genes involved in treatment resistance.
Conclusions:
- ChromCall facilitates detailed epigenomic analysis at functional genomic regions.
- Findings suggest a link between chromatin states and therapeutic resistance in glioblastoma.
- This highlights a potential mechanism for therapeutic escape in GBM.
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