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In the age of computational science, researchers in the life sciences – just as in other domains – regularly face the need of composing several individual software tools into pipelines or workflows that perform the specific data analysis processes that they need in their research. For over 20 years now, dedicated scientific workflow management systems have been supporting scientists in this task, and they continue to gain popularity. In fact, recent years have seen significant progress in the ...