Abstract: Shared Galaxy workflows facilitate the dissemination of best-practices for the computational analysis of scientific
experiments. Manually-curated interactive tours explaining each tool of a workflow support the self-training of Life Science data scientists. However, workflow tools are usually pre-selected, and little to no information is conveyed about alternative tools. In this seminar I'll showcase a Galaxy-based system whose design overcomes the aforementioned limitations, by offering and explaining alternative approaches for the selected analysis. This system allows to set up more comprehensive and custom-tailored workflows, and significantly reduces the curatorial effort to maintain interactive tours.