An App to Identify On-Target Gene Editing Variation
At its core, gene editing works to break gene function by creating errors in a DNA sequence at a specific location. The process works by creating a precise cut that is repaired by the cell’s repair mechanisms, and those processes can be error prone. Those errors are the basis of the gene’s disruption. But in a population of cells, how do you account for and catalog all of the changes? Kevin Bloh is a research associate and a Ph.D. student with Christiana Care / University of Delaware. He describes computational tool that help define the variation around gene edited sites. The new tools help refine cells possibly destined for research or therapeutic applications.