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Overcoming the challenges of CRISPR guide RNA design

Use of CRISPR-Cas9 has revolutionized targeted genome editing. However, rapid design of high-quality guide RNA (gRNA) sequences with high on-target and low off-target editing remains challenging. We implemented a machine learning algorithm to design high-quality gRNA sequences in 5 commonly used species (human, mouse, rat, zebrafish, and nematode). Our tool also designs gRNA sequences against custom targets, and can check existing gRNA designs for quality. In this webinar, we review our data illustrating this tool's performance and demonstrate its use in predicting and designing improved gRNAs for genome editing. Learn more at

Published on: August 16, 2018