Using machine learning, researchers develop new system to use gene editing tool more effectively

Left to right: Nicolo Fusi, Jennifer Listgarten and John Doench A team of researchers from Microsoft and the Broad Institute of MIT and Harvard has developed a new system that allows researchers to more quickly and effectively use the powerful gene editing tool CRISPR. The system, unveiled Monday and dubbed Azimuth, uses machine learning to predict which part of a gene to target when a scientist wants to knockout – or shut off – a gene. Machine learning enables the model to make predictions for any gene of interest, including those not seen in the experimental training data. The two Microsoft researchers who led the computational modeling aspect of the project, Jennifer Listgarten and Nicolo Fusi, got excited about working on CRISPR after they attended a lecture given by their…


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