Jacob Bradford

CRISPR-DA improves gRNA specificity assessment for CRISPR-based detection assays, outperforming BLAST in detecting cross-species off-targets and running faster.

The paper uses a deep ensemble approach to improve CRISPR guide RNA selection by incorporating uncertainty quantification, achieving over 91% precision in guide identification for most mouse genes.

Crackling Cloud is a cloud-based tool for designing CRISPR-Cas9 guide RNAs, offering scalability and accessibility without requiring local high-performance computing resources.

This paper introduces Crackling++, a faster and scalable method for off-target assessment of CRISPR guide RNAs by using non-contiguous exact matches, outperforming existing tools.

Crackling improves CRISPR guide RNA design by combining scoring methods and using ISSL for faster off-target scoring, outperforming existing tools on 12 genomes.

This paper benchmarks 17 CRISPR-Cas9 guide design tools, finding wide variation in performance and efficiency, with only five capable of whole-genome analysis within reasonable time and resource limits.