Results
We employed a unique plasmid library expressed in human cells to quantify the potency of thousands of CRISPR/Cas9 sgRNAs. Differential sequence and structural features among the most and least potent sgRNAs were then used to train a machine learning algorithm for assay design. Comparative analysis indicates that our new algorithm outperforms existing CRISPR/Cas9 sgRNA design tools. Availability and implementation: The new sgRNA design tool is freely accessible as a web application, http://crispr.wustl.edu.
Supplementary Information
Supplementary data are available at Bioinformatics online.