Our spin-off Nexomis has developed a novel simulation method for generating connected differential expression signatures, based on a statistical framework that allows for adjustable levels of parametrization. This method directly addresses the issue of benchmarking data availability for connectivity-based drug repurposing approaches. This work was published in the journal Briefings in Bioinformatics (Oxford University press). It was elected article of the week by Drug Repurposing Research Collection REPO4EU.