ChromActivity: integrative epigenomic and functional characterization assay based annotation of regulatory activity across diverse human cell types

We introduce ChromActivity, a computational framework for predicting and annotating regulatory activity across the genome through integration of multiple epigenomic maps and various functional characterization datasets. ChromActivity generates genomewide predictions of regulatory activity associated with each functional characterization dataset across many cell types based on available epigenomic data. It then for each cell type produces ChromScoreHMM genome annotations based on the combinatorial and spatial patterns within these predictions and ChromScore tracks of overall predicted regulatory activity. ChromActivity provides a resource for analyzing and interpreting the human regulatory genome across diverse cell types.

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Publication Details

Journal
Genome biology
Published
2025-05-09
DOI
https://doi.org/10.1186/s13059-025-03579-6
Citations
2
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
1.61

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article

ChromActivity: integrative epigenomic and functional characterization assay based annotation of regulatory activity across diverse human cell types

Jason Ernst, Tevfik Umut Dincer
2 citations
Genome biology
Genomics and Chromatin Dynamics
1.61
article

ChromActivity: integrative epigenomic and functional characterization assay based annotation of regulatory activity across diverse human cell types

Jason Ernst, Tevfik Umut Dincer
article en
2 citations

Abstract

We introduce ChromActivity, a computational framework for predicting and annotating regulatory activity across the genome through integration of multiple epigenomic maps and various functional characterization datasets. ChromActivity generates genomewide predictions of regulatory activity associated with each functional characterization dataset across many cell types based on available epigenomic data. It then for each cell type produces ChromScoreHMM genome annotations based on the combinatorial and spatial patterns within these predictions and ChromScore tracks of overall predicted regulatory activity. ChromActivity provides a resource for analyzing and interpreting the human regulatory genome across diverse cell types.

Genome biologyVol. 26(1)
University of California, Los Angeles (US), Broad Center (US)
National Science Foundation, Rose Hills Foundation, National Institutes of Health, Jonsson Comprehensive Cancer Center
Openalex Percentile: Top 17%
Genomics and Chromatin Dynamics
1.61
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