The burgeoning field of life sciences has generated an unprecedented volume of data, demanding sophisticated workflows to manage, analyze, and understand it. Genomic data chains, essentially software tools, are becoming indispensable for researchers. They automate and standardize the movement of data, from raw reads to meaningful insights. Traditio