Sequence motifs and prediction model of GBE editing outcomes based on target library analysis and machine learning

作     者：Bo Li Ya-Qiu Li Dongdong Zhao Jie Yang Yan-He Ma Chang-Hao Bi Xue-Li Zhang Bo Li;Ya-Qiu Li;Dongdong Zhao;Jie Yang;Yan-He Ma;Chang-Hao Bi;Xue-Li Zhang

作者机构：Tianjin Institute of Industrial BiotechnologyChinese Academy of SciencesTianjin 300308China University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Systems Microbial BiotechnologyChinese Academy of SciencesTianjin 300308China National Technology Innovation Center of Synthetic BiologyTianjin 300308China 

出 版 物：《Journal of Genetics and Genomics》 (遗传学报（英文版）)

年 卷 期：2022年第49卷第3期

页      面：254-257页

核心收录：

学科分类：0710[理学-生物学] 0711[理学-系统科学] 07[理学] 

基　　金：financially supported by the National Key Research and Development Program of China (2018YFA0903700) the National Natural Science Foundation of China (31861143019, 31770105, 32001041) a Tianjin Synthetic Biotechnology Innovation Capacity Improvement Project (TSBICIP-KJGG-001) Tianjin Natural Science Foundation (20JCYBJC00310)。 

主　　题：prediction editor 

摘      要：Base editor techniques were developed for precise base conversion without requiring double-stranded DNA breaks(DSBs) or an editing template(Komor et al., 2016;Nishida et al., 2016).