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No more business as usual: Agile and effective responses to emerging pathogen threats require open data and open analytics.
Baker, Dannon; van den Beek, Marius; Blankenberg, Daniel; Bouvier, Dave; Chilton, John; Coraor, Nate; Coppens, Frederik; Eguinoa, Ignacio; Gladman, Simon; Grüning, Björn; Keener, Nicholas; Larivière, Delphine; Lonie, Andrew; Kosakovsky Pond, Sergei; Maier, Wolfgang; Nekrutenko, Anton; Taylor, James; Weaver, Steven.
  • Baker D; Johns Hopkins University, Baltimore, Maryland, United States of America.
  • van den Beek M; The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Blankenberg D; Cleveland Clinic, Cleveland, Ohio, United States of America.
  • Bouvier D; The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Chilton J; The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Coraor N; The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Coppens F; VIB Center for Plant Systems Biology, Ghent, Belgium.
  • Eguinoa I; Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
  • Gladman S; VIB Center for Plant Systems Biology, Ghent, Belgium.
  • Grüning B; Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
  • Keener N; University of Melbourne, Melbourne, Australia.
  • Larivière D; Queensland Cyber Infrastructure Foundation, St. Lucia, Australia.
  • Lonie A; University of Freiburg, Freiburg im Breisgau, Germany.
  • Kosakovsky Pond S; The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Maier W; The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Nekrutenko A; University of Melbourne, Melbourne, Australia.
  • Taylor J; Temple University, Philadelphia, Pennsylvania, United States of America.
  • Weaver S; University of Freiburg, Freiburg im Breisgau, Germany.
PLoS Pathog ; 16(8): e1008643, 2020 08.
Article in English | MEDLINE | ID: covidwho-712942
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Public Health / Coronavirus Infections / Severe Acute Respiratory Syndrome / Betacoronavirus Type of study: Experimental Studies Limits: Humans Language: English Journal: PLoS Pathog Year: 2020 Document Type: Article Affiliation country: Journal.ppat.1008643

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Public Health / Coronavirus Infections / Severe Acute Respiratory Syndrome / Betacoronavirus Type of study: Experimental Studies Limits: Humans Language: English Journal: PLoS Pathog Year: 2020 Document Type: Article Affiliation country: Journal.ppat.1008643