Systematic characterization of genome editing in primary T cells reveals proximal genomic insertions and enables machine learning prediction of CRISPR-Cas9 DNA repair outcomes
Ryan T. Leenay, Amirali Aghazadeh, Joseph Hiatt, David Tse, Judd F. Hultquist, Nevan Krogan, Zhenqin Wu, Alexander Marson, Andrew P. May, James Zou
This study systematically characterizes genome editing in primary T cells, identifies proximal genomic insertions, and develops a machine learning model to predict CRISPR-Cas9 DNA repair outcomes.
bioRxiv · Aug 31, 2018 · PreprintCell Biology