CRISPRon

In this study, we used a surrogate lentivirus library to capture CRISPR editing outcome in HEK cells. The dataset include quantification of indel frequency for SpCas9, A-to-G base editing outcome of the ABE system, and C-to-T base editing outcome of the CBE system in 12,000 surrogate sites. The high quality SpCas9 gRNA activities from a total of 10592 sites have been used to develop an improved deep learning-based prediction model CRISPRon (https://rth.dk/resources/crispr/). The ABE and CBE data set are being used to develop deep learning models for prediction of base editing outcome. Citation of the data will be updated once published.