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WeightNameValue
1000 Titel
  • No more business as usual: Agile and effective responses to emerging pathogen threats require open data and open analytics
1000 Autor/in
  1. Baker, Dannon |
  2. van den Beek, Marius |
  3. Blankenberg, Daniel |
  4. Bouvier, Dave |
  5. Chilton, John |
  6. Coraor, Nathan |
  7. Coppens, Frederik |
  8. Eguinoa, Ignacio |
  9. Gladman, Simon |
  10. Grüning, Björn |
  11. Keener, Nicholas |
  12. Lariviere, Delphine |
  13. Lonie, Andrew |
  14. Pond, Sergei |
  15. Maier, Wolfgang |
  16. Nekrutenko, Anton |
  17. Taylor, James |
  18. Weaver, Steven |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-08-13
1000 Erschienen in
1000 Quellenangabe
  • 16(8):e1008643
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.ppat.1008643 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425854/ |
1000 Ergänzendes Material
  • https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1008643#sec004 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Genomics
lokal Open source software
lokal Transmissible gastroenteritis coronavirus
lokal Genome analysis
lokal SARS
lokal Preprocessing
lokal SARS-CoV-2
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4882-5357|https://orcid.org/0000-0002-9676-7032|https://orcid.org/0000-0002-6833-9049|https://orcid.org/0000-0001-8031-5069|https://orcid.org/0000-0002-6794-0756|https://orcid.org/0000-0001-8083-2963|https://orcid.org/0000-0001-6565-5145|https://orcid.org/0000-0002-6190-122X|https://orcid.org/0000-0002-6100-4385|https://orcid.org/0000-0002-3079-6586|https://frl.publisso.de/adhoc/uri/S2VlbmVyLCBOaWNob2xhcw==|https://orcid.org/0000-0001-6421-3484|https://orcid.org/0000-0002-2006-3856|https://orcid.org/0000-0003-4817-4029|https://orcid.org/0000-0002-9464-6640|https://orcid.org/0000-0002-5987-8032|https://frl.publisso.de/adhoc/uri/VGF5bG9yLCBKYW1lcw==|https://orcid.org/0000-0002-6931-7191
1000 Label
1000 Förderer
  1. National Institutes of Health |
  2. National Science Foundation |
  3. Bundesministerium für Bildung und Forschung |
  4. Department of Education, Skills and Employment, Australian Government |
  5. Fonds Wetenschappelijk Onderzoek |
  6. Vlaams Supercomputer Centrum (VSC) |
1000 Fördernummer
  1. U41 HG006620; R01 AI134384; R01GM093939
  2. 1661497
  3. 031L0101C
  4. -
  5. I002919N
  6. -
1000 Förderprogramm
  1. Galaxy and HyPhy integration
  2. ABI
  3. de.NBI-epi
  4. National Collaborative Research Infrastructure Strategy (NCRIS); Bioplatforms Australia; Australian Research Data Commons (ARDC)
  5. -
  6. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Institutes of Health |
    1000 Förderprogramm Galaxy and HyPhy integration
    1000 Fördernummer U41 HG006620; R01 AI134384; R01GM093939
  2. 1000 joinedFunding-child
    1000 Förderer National Science Foundation |
    1000 Förderprogramm ABI
    1000 Fördernummer 1661497
  3. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm de.NBI-epi
    1000 Fördernummer 031L0101C
  4. 1000 joinedFunding-child
    1000 Förderer Department of Education, Skills and Employment, Australian Government |
    1000 Förderprogramm National Collaborative Research Infrastructure Strategy (NCRIS); Bioplatforms Australia; Australian Research Data Commons (ARDC)
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Fonds Wetenschappelijk Onderzoek |
    1000 Förderprogramm -
    1000 Fördernummer I002919N
  6. 1000 joinedFunding-child
    1000 Förderer Vlaams Supercomputer Centrum (VSC) |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6422767.rdf
1000 Erstellt am 2020-08-26T10:34:48.657+0200
1000 Erstellt von 122
1000 beschreibt frl:6422767
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Wed Aug 26 10:39:03 CEST 2020
1000 Objekt bearb. Wed Aug 26 10:38:36 CEST 2020
1000 Vgl. frl:6422767
1000 Oai Id
  1. oai:frl.publisso.de:frl:6422767 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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