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NEW YORK (GenomeWeb) – A team led by researchers at the Broad Institute and Brigham and Women's Hospital have developed a machine learning model that can predict insertions and deletions from CRISPR-Cas9 genome editing with high accuracy, showing that template-free Cas9 editing is capable of repair to a predicted genotype.

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