Integrating Hi-C and FISH data for modeling of the 3D organization of chromosomes

Methodological advances have increased our understanding of chromatin structure through chromosome conformation capture techniques and high resolution imaging, but integration of these datasets is challenging. Here the authors propose GEM-FISH, a method for reconstructing the 3D models of chromosome...

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Autores principales: Ahmed Abbas, Xuan He, Jing Niu, Bin Zhou, Guangxiang Zhu, Tszshan Ma, Jiangpeikun Song, Juntao Gao, Michael Q. Zhang, Jianyang Zeng
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Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/045621245b8a43758353a48a4ff3c3ac
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spelling oai:doaj.org-article:045621245b8a43758353a48a4ff3c3ac2021-12-02T14:40:17ZIntegrating Hi-C and FISH data for modeling of the 3D organization of chromosomes10.1038/s41467-019-10005-62041-1723https://doaj.org/article/045621245b8a43758353a48a4ff3c3ac2019-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10005-6https://doaj.org/toc/2041-1723Methodological advances have increased our understanding of chromatin structure through chromosome conformation capture techniques and high resolution imaging, but integration of these datasets is challenging. Here the authors propose GEM-FISH, a method for reconstructing the 3D models of chromosomes through systematically integrating both Hi-C and FISH data with the prior biophysical knowledge of a polymer model.Ahmed AbbasXuan HeJing NiuBin ZhouGuangxiang ZhuTszshan MaJiangpeikun SongJuntao GaoMichael Q. ZhangJianyang ZengNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Ahmed Abbas
Xuan He
Jing Niu
Bin Zhou
Guangxiang Zhu
Tszshan Ma
Jiangpeikun Song
Juntao Gao
Michael Q. Zhang
Jianyang Zeng
Integrating Hi-C and FISH data for modeling of the 3D organization of chromosomes
description Methodological advances have increased our understanding of chromatin structure through chromosome conformation capture techniques and high resolution imaging, but integration of these datasets is challenging. Here the authors propose GEM-FISH, a method for reconstructing the 3D models of chromosomes through systematically integrating both Hi-C and FISH data with the prior biophysical knowledge of a polymer model.
format article
author Ahmed Abbas
Xuan He
Jing Niu
Bin Zhou
Guangxiang Zhu
Tszshan Ma
Jiangpeikun Song
Juntao Gao
Michael Q. Zhang
Jianyang Zeng
author_facet Ahmed Abbas
Xuan He
Jing Niu
Bin Zhou
Guangxiang Zhu
Tszshan Ma
Jiangpeikun Song
Juntao Gao
Michael Q. Zhang
Jianyang Zeng
author_sort Ahmed Abbas
title Integrating Hi-C and FISH data for modeling of the 3D organization of chromosomes
title_short Integrating Hi-C and FISH data for modeling of the 3D organization of chromosomes
title_full Integrating Hi-C and FISH data for modeling of the 3D organization of chromosomes
title_fullStr Integrating Hi-C and FISH data for modeling of the 3D organization of chromosomes
title_full_unstemmed Integrating Hi-C and FISH data for modeling of the 3D organization of chromosomes
title_sort integrating hi-c and fish data for modeling of the 3d organization of chromosomes
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/045621245b8a43758353a48a4ff3c3ac
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