PLoS PathogensGenomicsPeer-reviewed journal article
No more business as usual: agile and effective responses to emerging pathogen threats require open data and open analytics
Dannon BakeriD, Marius van den BeekiD, Daniel J BlankenbergiD, Dave BouvieriD, John M. ChiltoniD, Nate CoraoriD, Frederik CoppensiD, Ignacio EguinoaiD, Simon L. GladmaniD, Björn Andreas GrüningiD, Nicholas Keener, Delphine LarivièreiD, Andrew J. LonieiD, Sergei L. Kosakovsky PondiD, Wolfgang MaieriD, Anton NekrutenkoiD, James TayloriD, Steven WeaveriD
Abstract
The current state of much of the Wuhan pneumonia virus (COVID-19) 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 ten 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 COVID-19 genomic data available in the public domain so far to (1) underscore the importance of access to raw data and to (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.
- assay: whole-genome sequencing
- research focus: benchmarking
- research focus: database / resource
- research focus: software / tool
- approach: experimental assay
- Citations
- 33
- FWCI
- 6.82
- Field percentile
- top 3%
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