Automated high-throughput genome editing platform with an AI learning in situ prediction model

Abstract

A large number of cell disease models with pathogenic SNVs are needed. Here the authors report an automated high-throughput platform to perform the genome editing process from gRNA design to the analysis of the editing results; they characterise in situ base editing outcomes.