Deep learning approaches have transformed how scientists predict activity and function of DNA sequences in the genome. An new AI tool called Corgi (Context-aware Regulatory Genomics Inference), developed by Martin Vingron’s bioinformatics groupat the Max Planck Institute for Molecular Genetics (Berlin, Germany) allows researchers to predict how the genome behaves across different cell types. The findings could help improve efforts to mimic the activity of cells virtually, with potential applications in basic research and medicine. The study was published in Nature Communications.