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Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring
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 res...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010728/ https://www.ncbi.nlm.nih.gov/pubmed/33791701 http://dx.doi.org/10.1101/2021.03.25.437046 |
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author | Maier, Wolfgang Bray, Simon van den Beek, Marius Bouvier, Dave Coraor, Nathaniel Miladi, Milad Singh, Babita De Argila, Jordi Rambla Baker, Dannon Roach, Nathan Gladman, Simon Coppens, Frederik Martin, Darren P Lonie, Andrew Grüning, Björn Kosakovsky Pond, Sergei L. Nekrutenko, Anton |
author_facet | Maier, Wolfgang Bray, Simon van den Beek, Marius Bouvier, Dave Coraor, Nathaniel Miladi, Milad Singh, Babita De Argila, Jordi Rambla Baker, Dannon Roach, Nathan Gladman, Simon Coppens, Frederik Martin, Darren P Lonie, Andrew Grüning, Björn Kosakovsky Pond, Sergei L. Nekrutenko, Anton |
author_sort | Maier, Wolfgang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8010728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-80107282021-04-01 Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring Maier, Wolfgang Bray, Simon van den Beek, Marius Bouvier, Dave Coraor, Nathaniel Miladi, Milad Singh, Babita De Argila, Jordi Rambla Baker, Dannon Roach, Nathan Gladman, Simon Coppens, Frederik Martin, Darren P Lonie, Andrew Grüning, Björn Kosakovsky Pond, Sergei L. Nekrutenko, Anton bioRxiv Article 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. Cold Spring Harbor Laboratory 2021-03-25 /pmc/articles/PMC8010728/ /pubmed/33791701 http://dx.doi.org/10.1101/2021.03.25.437046 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Maier, Wolfgang Bray, Simon van den Beek, Marius Bouvier, Dave Coraor, Nathaniel Miladi, Milad Singh, Babita De Argila, Jordi Rambla Baker, Dannon Roach, Nathan Gladman, Simon Coppens, Frederik Martin, Darren P Lonie, Andrew Grüning, Björn Kosakovsky Pond, Sergei L. Nekrutenko, Anton Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring |
title | Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring |
title_full | Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring |
title_fullStr | Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring |
title_full_unstemmed | Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring |
title_short | Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring |
title_sort | freely accessible ready to use global infrastructure for sars-cov-2 monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010728/ https://www.ncbi.nlm.nih.gov/pubmed/33791701 http://dx.doi.org/10.1101/2021.03.25.437046 |
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