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A Practical Guide to CRISPR Experimental Design, Optimization, and Analysis
A successful CRISPR experiment involves more than selecting a target sequence and choosing an editor. From guide RNA design and reagent selection to delivery, optimization, and validation, decisions made throughout the workflow can influence editing efficiency, reproducibility, and the quality of your results. With so many variables to consider, how can you make informed decisions at each stage of your experiment?
Join us for an educational webinar exploring the CRISPR workflow from initial design through data analysis. Whether you're getting started with CRISPR or looking to refine an established workflow, this session will help you better understand how each experimental decision contributes to your final results.
You'll learn how to:
- Plan a CRISPR experiment by aligning target selection, guide RNA design, and editing strategy with your research goals.
- Evaluate guide RNA quality, editor selection, and reagent formats to support your experimental workflow.
- Consider delivery methods, optimization strategies, and appropriate controls to address common experimental challenges.
- Assess editing outcomes using validation methods and data analysis approaches that support meaningful interpretation.
About the Presenter
Puzhou Wang, PhD, Director of Research and Data, is a chemist and data scientist who enjoys bringing science, technology, and data together to solve challenging problems. At Synthego, Puzhou works across teams to develop innovative solutions in CRISPR and molecular diagnostics. Outside of work, Puzhou is always looking for something new to learn or try. His latest adventure is kendo, where he has found plenty of inspiration in its discipline, focus, and constant pursuit of improvement.
