TY - JOUR
T1 - No more business as usual
T2 - Agile and effective responses to emerging pathogen threats require open data and open analytics
AU - Baker, Dannon
AU - van den Beek, Marius
AU - Blankenberg, Daniel
AU - Bouvier, Dave
AU - Chilton, John
AU - Coraor, Nate
AU - Coppens, Frederik
AU - Eguinoa, Ignacio
AU - Gladman, Simon
AU - Grüning, Björn
AU - Keener, Nicholas
AU - Larivière, Delphine
AU - Lonie, Andrew
AU - Pond, Sergei Kosakovsky
AU - Maier, Wolfgang
AU - Nekrutenko, Anton
AU - Taylor, James
AU - Weaver, Steven
N1 - Funding Information:
This work is funded by NIH Grant U41 HG006620 and NSF ABI Grant 1661497 to AN and JT. Usegalaxy.eu is supported by the German Federal Ministry of Education and Research grants 031L0101C and de.NBI-epi to BG. Galaxy and HyPhy integration is supported by NIH Grant R01 AI134384 to AN. Usegalaxy.org.au is supported by Bioplatforms Australia and the Australian Research Data Commons through funding from the Australian Government National Collaborative Research Infrastructure Strategy. Hyphy.org development team is supported by NIH Grant R01GM093939 to SKP. Usegalaxy.be is supported by the Research Foundation-Flanders (FWO) grant I002919N and the Flemish Supercomputer Center (VSC). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2020 Baker et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2020/8
Y1 - 2020/8
N2 - 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/SARSCoV-2.
AB - 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/SARSCoV-2.
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U2 - 10.1371/JOURNAL.PPAT.1008643
DO - 10.1371/JOURNAL.PPAT.1008643
M3 - Article
C2 - 32790776
AN - SCOPUS:85089467349
SN - 1553-7366
VL - 16
JO - PLoS pathogens
JF - PLoS pathogens
IS - 8
M1 - e1008643
ER -