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; Aaron R. Quinlan

doi:10.1038/s41467-021-22381-z

Nature Communications (Apr 2021)

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,
Aaron R. Quinlan

Affiliations

Michael J. Cormier: Department of Human Genetics, University of Utah
Jonathan R. Belyeu: Department of Human Genetics, University of Utah
Brent S. Pedersen: Department of Human Genetics, University of Utah
Joseph Brown: Department of Human Genetics, University of Utah
Johannes Köster: Institute of Human Genetics, University of Duisburg-Essen
Aaron R. Quinlan: Department of Human Genetics, University of Utah

DOI: https://doi.org/10.1038/s41467-021-22381-z
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 6

Abstract

Read online

Modern biological research is complicated by the difficulty of collecting, transforming, annotating, and integrating datasets. Here, the authors present Go Get Data, a fast, reproducible approach to installing standardized data recipes, with an application to genomics data.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal