Model-driven development. Many minor and major changes have to be written in software code before a ‘standard’ software infrastructure accommodates a particular research. Using ‘model-driven’ development methods a bioinformatician only needs to model what is needed for his experiment using a therefore optimized domain specific language (DSL). Generators quickly produce all the software logic to compose a full software infrastructure that accommodates these needs. When experimental needs change, a bioinformatician can (re)run the same generator with an adapted model file to quickly produce another variant of software infrastructure. This vastly reduces ‘time-to-research’ and enables bioinformaticians to quickly develop a suite of software infrastructures, with each variant accommodating a specific research task, while still on track to reuse, integrate and share the best standard features with other labs and bioinformaticians.