Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning

Application of highly specific Cas9 variants can be restricted by the design of the guide RNA. Here the authors present DeepHF, a gRNA activity prediction tool built from genome-scale screens of 50,000 guides covering 20,000 genes.

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Autores principales:	Daqi Wang, Chengdong Zhang, Bei Wang, Bin Li, Qiang Wang, Dong Liu, Hongyan Wang, Yan Zhou, Leming Shi, Feng Lan, Yongming Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/af6085e1eb2a47c8a310ffae8ee6902f
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spelling	oai:doaj.org-article:af6085e1eb2a47c8a310ffae8ee6902f2021-12-02T15:36:02ZOptimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning10.1038/s41467-019-12281-82041-1723https://doaj.org/article/af6085e1eb2a47c8a310ffae8ee6902f2019-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12281-8https://doaj.org/toc/2041-1723Application of highly specific Cas9 variants can be restricted by the design of the guide RNA. Here the authors present DeepHF, a gRNA activity prediction tool built from genome-scale screens of 50,000 guides covering 20,000 genes.Daqi WangChengdong ZhangBei WangBin LiQiang WangDong LiuHongyan WangYan ZhouLeming ShiFeng LanYongming WangNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Daqi Wang Chengdong Zhang Bei Wang Bin Li Qiang Wang Dong Liu Hongyan Wang Yan Zhou Leming Shi Feng Lan Yongming Wang Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
description	Application of highly specific Cas9 variants can be restricted by the design of the guide RNA. Here the authors present DeepHF, a gRNA activity prediction tool built from genome-scale screens of 50,000 guides covering 20,000 genes.
format	article
author	Daqi Wang Chengdong Zhang Bei Wang Bin Li Qiang Wang Dong Liu Hongyan Wang Yan Zhou Leming Shi Feng Lan Yongming Wang
author_facet	Daqi Wang Chengdong Zhang Bei Wang Bin Li Qiang Wang Dong Liu Hongyan Wang Yan Zhou Leming Shi Feng Lan Yongming Wang
author_sort	Daqi Wang
title	Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
title_short	Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
title_full	Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
title_fullStr	Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
title_full_unstemmed	Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
title_sort	optimized crispr guide rna design for two high-fidelity cas9 variants by deep learning
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/af6085e1eb2a47c8a310ffae8ee6902f
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Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning

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