Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus

Despite its popularity for measuring the spatial organization of mammalian genomes, the resolution of most Hi-C datasets is coarse due to sequencing cost. Here, Zhang et al. develop HiCPlus, a computational approach based on deep convolutional neural network, to infer high-resolution Hi-C interactio...

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Autores principales:	Yan Zhang, Lin An, Jie Xu, Bo Zhang, W. Jim Zheng, Ming Hu, Jijun Tang, Feng Yue
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/5c053d03b3514bb6984fc7751445c963
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spelling	oai:doaj.org-article:5c053d03b3514bb6984fc7751445c9632021-12-02T17:31:14ZEnhancing Hi-C data resolution with deep convolutional neural network HiCPlus10.1038/s41467-018-03113-22041-1723https://doaj.org/article/5c053d03b3514bb6984fc7751445c9632018-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03113-2https://doaj.org/toc/2041-1723Despite its popularity for measuring the spatial organization of mammalian genomes, the resolution of most Hi-C datasets is coarse due to sequencing cost. Here, Zhang et al. develop HiCPlus, a computational approach based on deep convolutional neural network, to infer high-resolution Hi-C interaction matrices from low-resolution Hi-C data.Yan ZhangLin AnJie XuBo ZhangW. Jim ZhengMing HuJijun TangFeng YueNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yan Zhang Lin An Jie Xu Bo Zhang W. Jim Zheng Ming Hu Jijun Tang Feng Yue Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
description	Despite its popularity for measuring the spatial organization of mammalian genomes, the resolution of most Hi-C datasets is coarse due to sequencing cost. Here, Zhang et al. develop HiCPlus, a computational approach based on deep convolutional neural network, to infer high-resolution Hi-C interaction matrices from low-resolution Hi-C data.
format	article
author	Yan Zhang Lin An Jie Xu Bo Zhang W. Jim Zheng Ming Hu Jijun Tang Feng Yue
author_facet	Yan Zhang Lin An Jie Xu Bo Zhang W. Jim Zheng Ming Hu Jijun Tang Feng Yue
author_sort	Yan Zhang
title	Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
title_short	Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
title_full	Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
title_fullStr	Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
title_full_unstemmed	Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
title_sort	enhancing hi-c data resolution with deep convolutional neural network hicplus
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/5c053d03b3514bb6984fc7751445c963
work_keys_str_mv	AT yanzhang enhancinghicdataresolutionwithdeepconvolutionalneuralnetworkhicplus AT linan enhancinghicdataresolutionwithdeepconvolutionalneuralnetworkhicplus AT jiexu enhancinghicdataresolutionwithdeepconvolutionalneuralnetworkhicplus AT bozhang enhancinghicdataresolutionwithdeepconvolutionalneuralnetworkhicplus AT wjimzheng enhancinghicdataresolutionwithdeepconvolutionalneuralnetworkhicplus AT minghu enhancinghicdataresolutionwithdeepconvolutionalneuralnetworkhicplus AT jijuntang enhancinghicdataresolutionwithdeepconvolutionalneuralnetworkhicplus AT fengyue enhancinghicdataresolutionwithdeepconvolutionalneuralnetworkhicplus
_version_	1718380673353383936

Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus

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