Prime editors are innovative genome-editing tools, but selecting guide RNAs with high efficiency remains challenging and requires costly experimental efforts. Liu and colleagues develop a method to design prime-editing guide RNAs based on transfer learning for in silico prediction of editing efficacy.
- Feng Liu
- Shuhong Huang
- Wenjie Shu