Loopsim: enrichment analysis of chromosome conformation capture with fast empirical distribution simulation
Gene regulation is intricately influenced by the three-dimensional organization of the genome. In particular, chromatin can exist in loop structures that enable long-range regulatory interactions. By utilizing chromosome conformation capture techniques such as Hi-C, valuable information regarding the organization of these loop structures in 3D space can be obtained. Although functional/feature enrichment is now a common downstream analysis for various genomic platforms to provide biological context, tools specifically designed for high-throughput assays that capture chromosome conformation remain relatively limited. Here, we present Loopsim, a command-line application that performs enrichment analysis on Hi-C loop profiles against user-defined regions (available on GitHub at https://github.com/CutaneousBioinf/Loopsim). Loopsim efficiently simulates a background distribution using a distinctive sampling approach that considers loop size, intervals, loop-loop distances, and structure; it then computes statistics based on the empirical null distribution.
Authors
- Gideon M. Shaked (ORCID: https://orcid.org/0000-0001-5822-3010)
- Jiayu Zhou (ORCID: https://orcid.org/0000-0003-4336-6777)
- Matthew T. Patrick (ORCID: https://orcid.org/0000-0002-6174-9002)
- Lam C. Tsoi (ORCID: https://orcid.org/0000-0003-1627-5722)
- Johann Eli Gudjonsson (ORCID: https://orcid.org/0000-0002-0080-0812)
- Zhaolin Zhang (ORCID: https://orcid.org/0000-0003-1978-8160)
- Haihan Zhang (ORCID: https://orcid.org/0000-0002-5902-7289)
- James T. Elder
Institutions
- University of Michigan (US)
- Michigan Medicine (US)
- St. Mary's Medical Center (US)
Publication Details
- Journal
- NAR Genomics and Bioinformatics
- Published
- 2025-07-04
- DOI
- https://doi.org/10.1093/nargab/lqaf098
- Primary Topic
- Genomics and Chromatin Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Dermatology Foundation
- National Institutes of Health