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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...
Autores principales: | 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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163799/ https://www.ncbi.nlm.nih.gov/pubmed/34050182 http://dx.doi.org/10.1038/s41467-021-23576-0 |
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