Scientists have achieved the most extensive high-throughput analysis of CRISPR-Cas9 activities. The team developed deep-learning-based computational models that predict the activities of SpCas9 variants for different DNA sequences. This study represents a useful guide for selecting the most appropriate SpCas9 variant.
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