Researchers have developed a technique that allows them to predict the exact mutations CRISPR-Cas9 gene editing can introduce to a cell. The machine learning predictive tool is the result of the largest-ever study of CRISPR action, which saw scientists edit more than a thousand million different pieces of DNA and analyse a billion resulting DNA sequences. It will enable scientists to predict the optimum sequences that need to be targeted in order to make CRISPR-Cas9 gene editing more reliable, cheaper and more efficient.
Researchers have developed a technique that allows them to predict the exact mutations CRISPR-Cas9 gene editing can introduce to a cell. The machine learning predictive tool is the result of the largest-ever study of CRISPR action, which saw scientists edit 40,000 different pieces of DNA and analyse a billion resulting DNA sequences. It will enable scientists to predict the optimum sequences that need to be targeted in order to make CRISPR-Cas9 gene editing more reliable, cheaper and more efficient.