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Go Get Data (GGD) is a framework that facilitates reproducible access to genomic data

Michael J. Cormier, Jonathan R. Belyeu, Brent S. Pedersen, Joseph Brown, Johannes Köster and Aaron R. Quinlan ()
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Michael J. Cormier: University of Utah
Jonathan R. Belyeu: University of Utah
Brent S. Pedersen: University of Utah
Joseph Brown: University of Utah
Johannes Köster: University of Duisburg-Essen
Aaron R. Quinlan: University of Utah

Nature Communications, 2021, vol. 12, issue 1, 1-6

Abstract: Abstract The rapid increase in the amount of genomic data provides researchers with an opportunity to integrate diverse datasets and annotations when addressing a wide range of biological questions. However, genomic datasets are deposited on different platforms and are stored in numerous formats from multiple genome builds, which complicates the task of collecting, annotating, transforming, and integrating data as needed. Here, we developed Go Get Data (GGD) as a fast, reproducible approach to installing standardized data recipes. GGD is available on Github ( https://gogetdata.github.io/ ), is extendable to other data types, and can streamline the complexities typically associated with data integration, saving researchers time and improving research reproducibility.

Date: 2021
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DOI: 10.1038/s41467-021-22381-z

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