TY - JOUR T1 - Go Get Data (GGD): simple, reproducible access to scientific data JF - bioRxiv DO - 10.1101/2020.09.10.291377 SP - 2020.09.10.291377 AU - Michael J. Cormier AU - Jonathan R. Belyeu AU - Brent S. Pedersen AU - Joseph Brown AU - Johannes Koster AU - Aaron R. Quinlan Y1 - 2020/01/01 UR - http://biorxiv.org/content/early/2020/09/11/2020.09.10.291377.1.abstract N2 - 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.Competing Interest StatementThe authors have declared no competing interest. ER -