Navigating the complexities of scientific research often involves juggling large data sets, multiple tools, and specialized software–especially in the realm of high performance computing (HPC). In an environment where the lack of reproducibility in scientific studies is a growing concern, tools that enhance accuracy and consistency are invaluable. In the Ebbert Lab, a part of the University of Kentucky’s Sanders-Brown Center on Aging, we’ve found that software containers are essential, not just for streamlining our workflows, but also for addressing the critical issue of reproducibility in our Alzheimer’s disease research. In this article, we will explore the challenges of achieving reliable and repeatable scientific results, our focus on Alzheimer’s disease research, and how software containers have improved both the efficiency and reproducibility of our work.
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