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OJGG Publishes Landmark Methods Paper on Off-Target Prediction for CRISPR Prime Editing
The Onyx Journal of Genetics & Genomics (OJGG) has published a landmark methods paper describing PrimeGuard, a deep-learning framework for predicting off-target activity of CRISPR prime editors. The work, led by Dr. Mei-Lin Cho (Seoul National University) and colleagues at the Broad Institute, demonstrates a 41% reduction in false-positive off-target …