Loopsim: enrichment analysis of chromosome conformation capture with fast empirical distribution simulation
Year: 2025
Type: article
Abstract: 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.
Source: NAR Genomics and Bioinformatics
Authors: Gideon Shaked, Haihan Zhang, Zhaolin Zhang, Jiayu Zhou, Johann E Gudjonsson, James T Elder, Matthew T Patrick, Lam C Tsoi
Institutions: University of Michigan, Michigan Medicine
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,766
OpenAlex ID: W4412556089
