Modeling CRISPR-Cas13d on-target and off-target effects using machine learning approaches

Modeling CRISPR-Cas13d on-target and off-target effects using machine learning approaches

Application of CRISPR-Cas13d is limited by the inability to predict on- and off-targets. Here the authors perform CRISPR-Cas13d proliferation screens followed by modeling of Cas13d on- and off-targets; they design a deep learning model, DeepCas13, to predict the on-target activity of a gRNA.

Bibliographic Details
Main Authors: Xiaolong Cheng, Zexu Li, Ruocheng Shan, Zihan Li, Shengnan Wang, Wenchang Zhao, Han Zhang, Lumen Chao, Jian Peng, Teng Fei, Wei Li
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-36316-3

Internet

https://doi.org/10.1038/s41467-023-36316-3

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