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No more business as usual: Agile and effective responses to emerging pathogen threats require open data and open analytics.

Authors :
Dannon Baker
Marius van den Beek
Daniel Blankenberg
Dave Bouvier
John Chilton
Nate Coraor
Frederik Coppens
Ignacio Eguinoa
Simon Gladman
Björn Grüning
Nicholas Keener
Delphine Larivière
Andrew Lonie
Sergei Kosakovsky Pond
Wolfgang Maier
Anton Nekrutenko
James Taylor
Steven Weaver
Source :
PLoS Pathogens, Vol 16, Iss 8, p e1008643 (2020)
Publication Year :
2020
Publisher :
Public Library of Science (PLoS), 2020.

Abstract

The current state of much of the Wuhan pneumonia virus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) research shows a regrettable lack of data sharing and considerable analytical obfuscation. This impedes global research cooperation, which is essential for tackling public health emergencies and requires unimpeded access to data, analysis tools, and computational infrastructure. Here, we show that community efforts in developing open analytical software tools over the past 10 years, combined with national investments into scientific computational infrastructure, can overcome these deficiencies and provide an accessible platform for tackling global health emergencies in an open and transparent manner. Specifically, we use all SARS-CoV-2 genomic data available in the public domain so far to (1) underscore the importance of access to raw data and (2) demonstrate that existing community efforts in curation and deployment of biomedical software can reliably support rapid, reproducible research during global health crises. All our analyses are fully documented at https://github.com/galaxyproject/SARS-CoV-2.

Details

Language :
English
ISSN :
15537366 and 15537374
Volume :
16
Issue :
8
Database :
Directory of Open Access Journals
Journal :
PLoS Pathogens
Publication Type :
Academic Journal
Accession number :
edsdoj.2709c4a4e7f0407eb700234aa5780e6e
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.ppat.1008643