A resource and computational approach for quantifying gene editing allelism at single-cell resolution
Matthew H. Ung, Gabriella Angelini, Ruijia Wang, Alyssa Pyclik, John R. Lydeard, Juliana M. Xavier-Ferrucio, Michelle I. Lin, Tirtha Chakraborty, Huanying Gary Ge
The paper constructs a single-cell DNA sequencing atlas and introduces GUMM, a computational workflow, to accurately infer gene editing allelism despite technical artifacts.
bioRxiv · May 22, 2025 · PreprintBioinformatics