The largest study of CRISPR action to date has developed a method to predict the exact mutations CRISPR-Cas9 gene editing can introduce to a cell. Researchers edited 40,000 different pieces of DNA and analyzed a thousand million resulting DNA sequences to develop the machine learning predictive tool. The new resource will help make CRISPR-Cas9 gene editing more reliable, cheaper and more efficient.