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CRISPR Cas9 base editing efficiencies

Excited that the collaboration with Yonglun Luo lab on base editing gRNA design has been published in Nature Communications. We generated efficiency and outcome data for ~20000 gRNAs and employed deep learning learning models trained on ours and publicly available data by labeling the individual data sets resulting in a cutting-edge base editor design tool. See the paper here.