Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.10.291377v1?rss=1 Authors: Quinlan, A., Cormier, M., Belyeu, J., Pedersen, B. S., Brown, J., Koster, J. Abstract: Genomics research is complicated by the inherent difficulty of collecting, transforming, and integrating the numerous datasets and annotations germane to one's research. Furthermore, these data exist in disparate sources, and are stored in numerous, often abused formats from multiple genome builds. Since these complexities waste time, inhibit reproducibility, and curtail research creativity, we developed Go Get Data (GGD; https://gogetdata.github.io/) as a fast, reproducible approach to installing standardized data recipes. Copy rights belong to original authors. Visit the link for more info