Summary: <br> <a href="https://twitter.com/intent/tweet?url=http%3A%2F%2Fwww.talkingbiotechpodcast.com%2F282-an-app-to-identify-on-target-gene-editing-variation%2F&via=talkingbiotech" class="twitter-share-button" data-size="large">Tweet</a><br> <a href="https://i0.wp.com/www.talkingbiotechpodcast.com/wp-content/uploads/2021/03/282-bloh-slider.jpg"></a><br> 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.<br> DECODR software link. www.decordr.org<br> <br>
