Researchers have developed a technique that allows them to predict the exact mutations CRISPR gene editing can introduce to a cell. The machine learning predictive tool is the result of the largest-ever study of CRISPR-Cas9 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 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.