Related Experiment Video
Updated: Jun 23, 2026
CRISPR-Mediated Reorganization of Chromatin Loop Structure
Published on: September 14, 2018
UnionLoops: a workflow for calling chromatin loops across related Hi-C datasets with improved specificity, precision,
Jiangyuan Liu1, Johan H Gibcus1, Job Dekker2,3
1Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, USA.
None:
Chromatin loop calling from chromatin interaction data often exhibits substantial variability across related samples. We present UnionLoops, a computational workflow for chromatin loop calling across multiple related samples. UnionLoops integrates information across datasets to determine positions and dataset-specificity of looping interactions. It constructs a unified candidate loop set, applies consistent filtering and aggregation, and evaluates loop support across samples. We demonstrate that UnionLoops increases sensitivity for detecting shared chromatin loops, reduces spurious sample-specific calls, and improves concordance with independent genomic features, including CTCF and cohesin occupancy. UnionLoops enables improved biological interpretation of chromatin loop organization and dynamics across related conditions.
