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BEdeepon: an in silico tool for prediction of base editor efficiencies and outcomes
Chengdong Zhang, Daqi Wang, Tao Qi, Yuening Zhang, Linghui Hou, Feng Lan, Jingcheng Yang, Leming Shi, Sang-Ging Ong, Hongyan Wang, View ORCID ProfileYongming Wang
doi: https://doi.org/10.1101/2021.03.14.435303
Chengdong Zhang
1State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
Daqi Wang
1State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
Tao Qi
1State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
Yuening Zhang
2SJTU-Yale Joint Center for Biostatistics and Data Science, (Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology) Shanghai Jiao Tong University; Shanghai, China, 200240
Linghui Hou
1State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
Feng Lan
3Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, 100029, China
Jingcheng Yang
1State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
Leming Shi
1State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
Sang-Ging Ong
4Department of Pharmacology and Regenerative Medicine, University of Illinois College of Medicine, USA
5Division of Cardiology, Department of Medicine, University of Illinois College of Medicine, USA
Hongyan Wang
1State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
Yongming Wang
1State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
6Shanghai Engineering Research Center of Industrial Microorganisms, Shanghai, China
Posted March 15, 2021.
BEdeepon: an in silico tool for prediction of base editor efficiencies and outcomes
Chengdong Zhang, Daqi Wang, Tao Qi, Yuening Zhang, Linghui Hou, Feng Lan, Jingcheng Yang, Leming Shi, Sang-Ging Ong, Hongyan Wang, Yongming Wang
bioRxiv 2021.03.14.435303; doi: https://doi.org/10.1101/2021.03.14.435303
BEdeepon: an in silico tool for prediction of base editor efficiencies and outcomes
Chengdong Zhang, Daqi Wang, Tao Qi, Yuening Zhang, Linghui Hou, Feng Lan, Jingcheng Yang, Leming Shi, Sang-Ging Ong, Hongyan Wang, Yongming Wang
bioRxiv 2021.03.14.435303; doi: https://doi.org/10.1101/2021.03.14.435303
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