Understanding how genes are switched on and off in specific cell types remains one of biology’s central challenges. While AI has made major progress in decoding the regulatory logic of DNA, applying these approaches across datasets, tissues, and species has remained difficult. In a new study published in Nature Methods, a research team led by Prof. Stein Aerts (VIB & KU Leuven) presents CREsted, a software package that enables both the analysis and design of gene regulatory elements in a systematic and scalable way.
