Decoding topologically associating domains with ultra-low resolution Hi-C data by graph structural entropy

Accurate detection of TADs requires ultra-deep sequencing and sophisticated normalisation procedures, which limits the analysis of Hi-C data. Here the authors develop a normalisation-free method to decode the domains of chromosomes (deDoc) that utilizes structural entropy to predict TADs with ultra-...

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Autores principales: Angsheng Li, Xianchen Yin, Bingxiang Xu, Danyang Wang, Jimin Han, Yi Wei, Yun Deng, Ying Xiong, Zhihua Zhang
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Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/46fdb2762a7445d7993295e078768865
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spelling oai:doaj.org-article:46fdb2762a7445d7993295e0787688652021-12-02T15:33:38ZDecoding topologically associating domains with ultra-low resolution Hi-C data by graph structural entropy10.1038/s41467-018-05691-72041-1723https://doaj.org/article/46fdb2762a7445d7993295e0787688652018-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05691-7https://doaj.org/toc/2041-1723Accurate detection of TADs requires ultra-deep sequencing and sophisticated normalisation procedures, which limits the analysis of Hi-C data. Here the authors develop a normalisation-free method to decode the domains of chromosomes (deDoc) that utilizes structural entropy to predict TADs with ultra-low sequencing data.Angsheng LiXianchen YinBingxiang XuDanyang WangJimin HanYi WeiYun DengYing XiongZhihua ZhangNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Angsheng Li
Xianchen Yin
Bingxiang Xu
Danyang Wang
Jimin Han
Yi Wei
Yun Deng
Ying Xiong
Zhihua Zhang
Decoding topologically associating domains with ultra-low resolution Hi-C data by graph structural entropy
description Accurate detection of TADs requires ultra-deep sequencing and sophisticated normalisation procedures, which limits the analysis of Hi-C data. Here the authors develop a normalisation-free method to decode the domains of chromosomes (deDoc) that utilizes structural entropy to predict TADs with ultra-low sequencing data.
format article
author Angsheng Li
Xianchen Yin
Bingxiang Xu
Danyang Wang
Jimin Han
Yi Wei
Yun Deng
Ying Xiong
Zhihua Zhang
author_facet Angsheng Li
Xianchen Yin
Bingxiang Xu
Danyang Wang
Jimin Han
Yi Wei
Yun Deng
Ying Xiong
Zhihua Zhang
author_sort Angsheng Li
title Decoding topologically associating domains with ultra-low resolution Hi-C data by graph structural entropy
title_short Decoding topologically associating domains with ultra-low resolution Hi-C data by graph structural entropy
title_full Decoding topologically associating domains with ultra-low resolution Hi-C data by graph structural entropy
title_fullStr Decoding topologically associating domains with ultra-low resolution Hi-C data by graph structural entropy
title_full_unstemmed Decoding topologically associating domains with ultra-low resolution Hi-C data by graph structural entropy
title_sort decoding topologically associating domains with ultra-low resolution hi-c data by graph structural entropy
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/46fdb2762a7445d7993295e078768865
work_keys_str_mv AT angshengli decodingtopologicallyassociatingdomainswithultralowresolutionhicdatabygraphstructuralentropy
AT xianchenyin decodingtopologicallyassociatingdomainswithultralowresolutionhicdatabygraphstructuralentropy
AT bingxiangxu decodingtopologicallyassociatingdomainswithultralowresolutionhicdatabygraphstructuralentropy
AT danyangwang decodingtopologicallyassociatingdomainswithultralowresolutionhicdatabygraphstructuralentropy
AT jiminhan decodingtopologicallyassociatingdomainswithultralowresolutionhicdatabygraphstructuralentropy
AT yiwei decodingtopologicallyassociatingdomainswithultralowresolutionhicdatabygraphstructuralentropy
AT yundeng decodingtopologicallyassociatingdomainswithultralowresolutionhicdatabygraphstructuralentropy
AT yingxiong decodingtopologicallyassociatingdomainswithultralowresolutionhicdatabygraphstructuralentropy
AT zhihuazhang decodingtopologicallyassociatingdomainswithultralowresolutionhicdatabygraphstructuralentropy
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