CRISPR On/Off: Modelling and Predicting On-/Off-Targets for CRISPR/Cas9 gRNAs

Accurate prediction of gRNA on-target efficiency with minimum off-targets is critical for the CRISPR workflow. In this presentation, the speaker will present two tools, CRIPSRon and CRISPRoff, which can be used for finding gRNAs with highest efficiency and to carry out an off-target assessment. The presentation will be in two parts:

1. Focusing on CRISPR/Cas9 design and introducing the basic methodological concepts from deep learning to energy modelling of CRISPR/Cas9 as well as the introduction of a completely new tool CRISPRroots for on/off-target quality analysis post the CRISPR editing.
2. The online available versions of the CRISPRon/off tools will be introduced.

In this webinar, you will learn about:

• Energy modelling of CRISPR-Cas9 with application for gRNA off-target prediction (CRISPRoff)
• Deep learning for on-target prediction (CRISPRon)
• CRISPRroots for post editing analysis
• Introduction to the CRISPRon/off-target webservers from usage to interpretation of results

Webinar programme:

• 15.00 Welcome and introduction by CRISPR Medicine News
• 15.05 CRISPR/Cas9 gRNA design with CRISPRon/off and post-editing quality assessment
• 15.55 Demo of CRISPRon/off-target webservers
• 16.15 Panel discussion with questions from audience
• 16.25 Close by CRISPR Medicine News

Speaker/Title:

• Jan Gorodkin PhD, Professor, Group leader, Center for non-coding RNA in Technology and Health, IVH, University of Copenhagen- "CRISPRon/off: Modeling and predicting on- and off-targets for CRISPR/Cas9 gRNAs"

Jan Gorodkin PhD, Professor, Group leader, Center for non-coding RNA in Technology and Health, IVH, University of Copenhagen, Denmark

Jan Gorodkin PhD, Professor, Group leader, Center for non-coding RNA in Technology and Health, Department of Veterinary and Animal Sciences (IVH), University of Copenhagen, Denmark

Jan Gorodkin, is a bioinformatician and professor at the Center for non-coding RNA in Technology and Health, in the Department of Veterinary and Animal Sciences, at University of Copenhagen, Denmark. He received his PhD from the Technical University of Denmark and has since then worked with several topics within computational RNA biology, genome and transcriptome analyses. Over the years, his group has published numerous computational tools for sequence and RNA structure analysis. Within recent years, his group took up work on computational methods for CRISPR analysis with outset in computational methods for RNA structure and interaction analysis.

We interviewed Jan Gorodkin shortly after publication of the CRIPSRon tool to hear more about this work..You can read our interview with Jan Gorodkin here.