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Go Get Data (GGD): simple, reproducible access to scientific data

Michael J. Cormier, Jonathan R. Belyeu, Brent S. Pedersen, Joseph Brown, View ORCID ProfileJohannes Koster, View ORCID ProfileAaron R. Quinlan
doi: https://doi.org/10.1101/2020.09.10.291377
Michael J. Cormier
1Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
2Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT, USA
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Jonathan R. Belyeu
1Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
2Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT, USA
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Brent S. Pedersen
1Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
2Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT, USA
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Joseph Brown
1Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
2Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT, USA
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Johannes Koster
3Institute of Human Genetics, University of Duisburg-Essen, Essen, NRW, Germany
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  • ORCID record for Johannes Koster
Aaron R. Quinlan
1Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
2Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT, USA
4Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
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  • ORCID record for Aaron R. Quinlan
  • For correspondence: aaronquinlan@gmail.com
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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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://gogetdata.github.io/

  • https://github.com/gogetdata/ggd-cli

  • https://github.com/gogetdata/ggd-recipes

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted September 11, 2020.
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Go Get Data (GGD): simple, reproducible access to scientific data
Michael J. Cormier, Jonathan R. Belyeu, Brent S. Pedersen, Joseph Brown, Johannes Koster, Aaron R. Quinlan
bioRxiv 2020.09.10.291377; doi: https://doi.org/10.1101/2020.09.10.291377
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Go Get Data (GGD): simple, reproducible access to scientific data
Michael J. Cormier, Jonathan R. Belyeu, Brent S. Pedersen, Joseph Brown, Johannes Koster, Aaron R. Quinlan
bioRxiv 2020.09.10.291377; doi: https://doi.org/10.1101/2020.09.10.291377

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