Computational biologists have created a neural network model capable of predicting how changes to non-coding DNA sequences in yeast affect gene expression. They also devised a unique way of representing this data in two dimensions, making it easy to understand the past and future evolution of non-coding sequences in organisms beyond yeast -- and even design custom gene expression patterns for gene therapies and industrial applications.