CRISPR QC
gRNA Selection - Case Study
Feb. 6, 2023
Courtesy ofCRISPR QC
Problem: Established In-silico models failed to accurately predict outcomes - costing the customer weeks of lost work.
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Comparative analysis of gRNA activity to identify highest-performing candidates; gRNA#39 demonstrated a clear separation from control
In this study, gRNA#39 showed the strongest performance and should be selected as the primary gRNA candidate.
CRISPR QC identified the highest-performing gRNAs using our unique data, enabling them to achieve their desired gene edit.
