Mining 3D genome structure populations identifies major factors governing the stability of regulatory communities

3D genome structures are plastic and vary from cell to cell even in an isogenic sample. Here, the authors present an approach to identify frequent 3D chromatin clusters across a population of genome structures, either deconvoluted from ensemble-averaged Hi-C data or from a collection of single-cell...

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Autores principales:	Chao Dai, Wenyuan Li, Harianto Tjong, Shengli Hao, Yonggang Zhou, Qingjiao Li, Lin Chen, Bing Zhu, Frank Alber, Xianghong Jasmine Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/eb79a112fe7a4473b42cfc1b36c627a7
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spelling	oai:doaj.org-article:eb79a112fe7a4473b42cfc1b36c627a72021-12-02T16:57:18ZMining 3D genome structure populations identifies major factors governing the stability of regulatory communities10.1038/ncomms115492041-1723https://doaj.org/article/eb79a112fe7a4473b42cfc1b36c627a72016-05-01T00:00:00Zhttps://doi.org/10.1038/ncomms11549https://doaj.org/toc/2041-17233D genome structures are plastic and vary from cell to cell even in an isogenic sample. Here, the authors present an approach to identify frequent 3D chromatin clusters across a population of genome structures, either deconvoluted from ensemble-averaged Hi-C data or from a collection of single-cell Hi-C data.Chao DaiWenyuan LiHarianto TjongShengli HaoYonggang ZhouQingjiao LiLin ChenBing ZhuFrank AlberXianghong Jasmine ZhouNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-11 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Chao Dai Wenyuan Li Harianto Tjong Shengli Hao Yonggang Zhou Qingjiao Li Lin Chen Bing Zhu Frank Alber Xianghong Jasmine Zhou Mining 3D genome structure populations identifies major factors governing the stability of regulatory communities
description	3D genome structures are plastic and vary from cell to cell even in an isogenic sample. Here, the authors present an approach to identify frequent 3D chromatin clusters across a population of genome structures, either deconvoluted from ensemble-averaged Hi-C data or from a collection of single-cell Hi-C data.
format	article
author	Chao Dai Wenyuan Li Harianto Tjong Shengli Hao Yonggang Zhou Qingjiao Li Lin Chen Bing Zhu Frank Alber Xianghong Jasmine Zhou
author_facet	Chao Dai Wenyuan Li Harianto Tjong Shengli Hao Yonggang Zhou Qingjiao Li Lin Chen Bing Zhu Frank Alber Xianghong Jasmine Zhou
author_sort	Chao Dai
title	Mining 3D genome structure populations identifies major factors governing the stability of regulatory communities
title_short	Mining 3D genome structure populations identifies major factors governing the stability of regulatory communities
title_full	Mining 3D genome structure populations identifies major factors governing the stability of regulatory communities
title_fullStr	Mining 3D genome structure populations identifies major factors governing the stability of regulatory communities
title_full_unstemmed	Mining 3D genome structure populations identifies major factors governing the stability of regulatory communities
title_sort	mining 3d genome structure populations identifies major factors governing the stability of regulatory communities
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/eb79a112fe7a4473b42cfc1b36c627a7
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_version_	1718382598031409152

Mining 3D genome structure populations identifies major factors governing the stability of regulatory communities

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