BHi-Cect: a top-down algorithm for identifying the multi-scale hierarchical structure of chromosomes. Issue 5 (3rd February 2020)

• Record Type: Journal Article
• Authors: Kumar, Vipin; Leclerc, Simon; Taniguchi, Yuichi
• Is Part Of: Nucleic acids research. Volume 48:Issue 5(2020)
• Page Start: e26
• Page End: e26
• Publication Date: 2020-02-03
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkaa004
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: High-throughput chromosome conformation capture (Hi-C) technology enables the investigation of genome-wide interactions among chromosome loci. Current algorithms focus on topologically associating domains (TADs), that are contiguous clusters along the genome coordinate, to describe the hierarchical structure of chromosomes. However, high resolution Hi-C displays a variety of interaction patterns beyond what current TAD detection methods can capture. Here, we present BHi-Cect, a novel top-down algorithm that finds clusters by considering every locus with no assumption of genomic contiguity using spectral clustering. Our results reveal that the hierarchical structure of chromosome is organized as 'enclaves', which are complex interwoven clusters at both local and global scales. We show that the nesting of local clusters within global clusters characterizing enclaves, is associated with the epigenomic activity found on the underlying DNA. Furthermore, we show that the hierarchical nesting that links different enclaves integrates their respective function. BHi-Cect provides means to uncover the general principles guiding chromatin architecture.