High Throughput Variant Libraries and Machine Learning Yield Design Rules for Retron Gene Editors
Kate D Crawford, Asim G Khan, Santiago C. Lopez, Hani Goodarzi, Seth L. Shipman
The paper uses high-throughput variant libraries and machine learning to identify design rules for improving retron gene editors in both yeast and human genome editing.
Nucleic Acids Research · Nov 19, 2024Peer-reviewedBioengineering