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.

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Daqi Wang, Chengdong Zhang, Bei Wang, Bin Li, Qiang Wang, Dong Liu, Hongyan Wang, Yan Zhou, Leming Shi, Feng Lan, Yongming Wang
Format: article
Langue:EN
Publié: Nature Portfolio 2019
Sujets:
Q
Accès en ligne:https://doaj.org/article/af6085e1eb2a47c8a310ffae8ee6902f
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!