Literature DB >> 32009153

BHi-Cect: a top-down algorithm for identifying the multi-scale hierarchical structure of chromosomes.

Vipin Kumar1, Simon Leclerc1, Yuichi Taniguchi1,2.   

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.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2020        PMID: 32009153      PMCID: PMC7049727          DOI: 10.1093/nar/gkaa004

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  31 in total

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2.  Looping and interaction between hypersensitive sites in the active beta-globin locus.

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5.  Hi-C: a comprehensive technique to capture the conformation of genomes.

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Journal:  Methods       Date:  2012-05-29       Impact factor: 3.608

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7.  Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

Authors:  Erez Lieberman-Aiden; Nynke L van Berkum; Louise Williams; Maxim Imakaev; Tobias Ragoczy; Agnes Telling; Ido Amit; Bryan R Lajoie; Peter J Sabo; Michael O Dorschner; Richard Sandstrom; Bradley Bernstein; M A Bender; Mark Groudine; Andreas Gnirke; John Stamatoyannopoulos; Leonid A Mirny; Eric S Lander; Job Dekker
Journal:  Science       Date:  2009-10-09       Impact factor: 47.728

8.  Detecting hierarchical genome folding with network modularity.

Authors:  Heidi K Norton; Daniel J Emerson; Harvey Huang; Jesi Kim; Katelyn R Titus; Shi Gu; Danielle S Bassett; Jennifer E Phillips-Cremins
Journal:  Nat Methods       Date:  2018-01-15       Impact factor: 28.547

9.  Identification of alternative topological domains in chromatin.

Authors:  Darya Filippova; Rob Patro; Geet Duggal; Carl Kingsford
Journal:  Algorithms Mol Biol       Date:  2014-05-03       Impact factor: 1.405

10.  Multi-scale structural community organisation of the human genome.

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Journal:  BMC Bioinformatics       Date:  2017-04-11       Impact factor: 3.169

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