SYSTEMS AND METHODS FOR PREDICTING REPAIR OUTCOMES IN GENETIC ENGINEERING

摘要

The specification provides a machine-learning model which predicts, based on input that can include a given target DNA sequence and a CRISPR/Cas cut site location, repair genotype outcomes associated with template-free repair processes (e.g., MMEJ or NHEJ) acting on Cas9-induced double-stranded DNA breaks. The specification further provides for the use of a machine-learning model for conducting genome editing based on a template-free CRISPR/Cas system, including the selection of an appropriate guide RNA (gRNA) to achieve a desired repaired genotype outcome.