Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning

The design of CRISPR gRNAs requires accurate on-target efficiency predictions, which demand high-quality gRNA activity data and efficient modeling. To advance, we here report on the generation of on-target gRNA activity data for 10,592 SpCas9 gRNAs. Integrating these with complementary published dat...

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Publicado no:Nat Commun
Main Authors: Xiang, Xi, Corsi, Giulia I., Anthon, Christian, Qu, Kunli, Pan, Xiaoguang, Liang, Xue, Han, Peng, Dong, Zhanying, Liu, Lijun, Zhong, Jiayan, Ma, Tao, Wang, Jinbao, Zhang, Xiuqing, Jiang, Hui, Xu, Fengping, Liu, Xin, Xu, Xun, Wang, Jian, Yang, Huanming, Bolund, Lars, Church, George M., Lin, Lin, Gorodkin, Jan, Luo, Yonglun
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8163799/
https://ncbi.nlm.nih.gov/pubmed/34050182
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-23576-0
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