New publication "Predicting prime editing efficiency across diverse edit types and chromatin contexts with machine learning"
Mathis N., Allam A., Tálas A., Benvenuto E., Schep R., Damodharan T., Balázs Z., Janjuha S., Schmidheini L., Böck D., van Steensel B., Krauthammer M., Schwank G. (2023). Predicting prime editing efficiency across diverse edit types and chromatin contexts with machine learning. BioRxiv Preprint. Link