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

被引:19
作者
Baker, Dannon [1 ]
van den Beek, Marius [2 ]
Blankenberg, Daniel [3 ]
Bouvier, Dave [2 ]
Chilton, John [2 ]
Coraor, Nate [2 ]
Coppens, Frederik [4 ,5 ]
Eguinoa, Ignacio [4 ,5 ]
Gladman, Simon [6 ,7 ]
Gruening, Bjoern [8 ]
Keener, Nicholas [2 ]
Lariviere, Delphine [2 ]
Lonie, Andrew [6 ]
Pond, Sergei Kosakovsky [9 ]
Maier, Wolfgang [8 ]
Nekrutenko, Anton [2 ]
Taylor, James [1 ]
Weaver, Steven [9 ]
机构
[1] Johns Hopkins Univ, Baltimore, MD USA
[2] Penn State Univ, University Pk, PA 16802 USA
[3] Cleveland Clin, Cleveland, OH 44106 USA
[4] VIB Ctr Plant Syst Biol, Ghent, Belgium
[5] Univ Ghent, Dept Plant Biotechnol & Bioinformat, Ghent, Belgium
[6] Univ Melbourne, Melbourne, Vic, Australia
[7] Queensland Cyber Infrastruct Fdn, St Lucia, Qld, Australia
[8] Univ Freiburg, Freiburg, Germany
[9] Temple Univ, Philadelphia, PA 19122 USA
关键词
CORONAVIRUS;
D O I
10.1371/journal.ppat.1008643
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
引用
收藏
页数:8
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