8:22 PM
 | 
Nov 07, 2018
 |  BC Extra  |  Preclinical News

Machine learning tool predicts template-free CRISPR editing

CRISPR veteran David Liu of the Broad Institute of MIT and Harvard and colleagues have developed a machine learning algorithm that predicts the genotypic result of CRISPR-mediated DNA breaks, suggesting CRISPR-based editing could be achieved using the cell's own repair mechanisms without delivering a DNA template along with the guide RNA.

Cas9-induced homology-directed repair (HDR) using a template can lead to precise edits but is limited by low efficiency, according to author Richard...

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