Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
Source https://www.nature.com/articles/s41467-019-12281-8#Sec14 Highly specific Cas9 nucleases derived from SpCas9 are valuable tools for genome editing, but their wide applications are hampered by a lack of knowledge governing guide RNA (gRNA) activity. Here, we perform a genome-scale screen to measure gRNA activity for two highly specific SpCas9 variants (eSpCas9(1.1) and SpCas9-HF1) and wild-type SpCas9 (WT-SpCas9) in