Abstract

The COVID-19 pandemic is the first global health crisis to occur in the age of big genomic data. Although data generation capacity is well established and sufficiently standardized, analytical capacity is not. To establish analytical capacity it is necessary to pull together global computational resources and deliver the best open source tools and analysis workflows within a ready to use, universally accessible resource. Such a resource should not be controlled by a single research group, institution, or country. Instead it should be maintained by a community of users and developers who ensure that the system remains operational and populated with current tools. A community is also essential for facilitating the types of discourse needed to establish best analytical practices. Bringing together public computational research infrastructure from the USA, Europe, and Australia, we developed a distributed data analysis platform that accomplishes these goals. It is immediately accessible to anyone in the world and is designed for the analysis of rapidly growing collections of deep sequencing datasets. We demonstrate its utility by detecting allelic variants in high-quality existing SARS-CoV-2 sequencing datasets and by continuous reanalysis of COG-UK data. All workflows, data, and documentation is available at https://covid19.galaxyproject.org.

Competing Interest Statement

Dannon Baker, Nate Coroar, and Anton Nekrutenko are founders of and hold equity in GalaxyWorks, LLC. The results of the study discussed in this publication could affect the value of GalaxyWorks, LLC.

Footnotes

* https://covid19.galaxyproject.org.

* https://usegalaxy.org

* https://usegalaxy.eu

* https://usegalaxy.org.au

Details

Title
Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring
Author
Maier, Wolfgang; Bray, Simon; Van Den Beek, Marius; Bouvier, Dave; Coraor, Nathaniel; Miladi, Milad; Singh, Babita; Jordi Rambla De Argila; Baker, Dannon; Roach, Nathan; Gladman, Simon; Coppens, Frederik; Martin, Darren; Lonie, Andrew; Gruning, Bjorn; Pond, Sergei Kosakovsky; Nekrutenko, Anton
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2021
Publication date
Mar 25, 2021
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2505038252
Copyright
© 2021. This article is published under http://creativecommons.org/licenses/by/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.