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
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Language: | English |
Published: |
Nature Portfolio
2023-02-01
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Series: | Nature Communications
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Online Access: | https://doi.org/10.1038/s41467-023-36316-3
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