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Loopsim:通过快速经验分布模拟对染色体构象捕获进行富集分析。

Loopsim: enrichment analysis of chromosome conformation capture with fast empirical distribution simulation.

作者信息

Shaked Gideon, Zhang Haihan, Zhang Zhaolin, Zhou Jiayu, Gudjonsson Johann E, Elder James T, Patrick Matthew T, Tsoi Lam C

机构信息

Department of Computational Medicine and Bioinformatics, Michigan Medicine, 1500 E Medical Center Dr, Ann Arbor, MI 48109, United States.

Department of Biostatistics, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, United States.

出版信息

NAR Genom Bioinform. 2025 Jul 19;7(3):lqaf098. doi: 10.1093/nargab/lqaf098. eCollection 2025 Sep.

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.

摘要

基因调控受到基因组三维组织的复杂影响。特别是,染色质可以以环状结构存在,这种结构能够实现长程调控相互作用。通过利用诸如Hi-C等染色体构象捕获技术,可以获得有关这些环状结构在三维空间中组织的有价值信息。尽管功能/特征富集现在是各种基因组平台常见的下游分析,以提供生物学背景,但专门为捕获染色体构象的高通量检测设计的工具仍然相对有限。在这里,我们展示了Loopsim,这是一个命令行应用程序,它针对用户定义的区域对Hi-C环状图谱进行富集分析(可在GitHub上获取,网址为https://github.com/CutaneousBioinf/Loopsim)。Loopsim使用一种独特的采样方法有效地模拟背景分布,该方法考虑了环的大小、间隔、环与环之间的距离以及结构;然后根据经验零分布计算统计数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf0/12276010/de5aa127bf09/lqaf098fig1.jpg

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