Ananth Pallaseni

The paper investigates how DNA repair genes influence Cas9-induced mutations by analyzing mutational outcomes across 2,838 synthetic targets in mouse cells, revealing gene-specific roles and improving predictive models.

This paper identifies position-specific sequence determinants of base editing efficiency and develops a machine learning model to predict editing outcomes for adenine and cytosine editors.

The paper predicts insertion efficiency of short sequences into the genome using prime editing by analyzing sequence features and developing a machine learning model.