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dc.contributor.author
Hufsky, Franziska
dc.contributor.author
Lamkiewicz, Kevin
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Almeida, Alexandre
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Aouacheria, Abdel
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Arighi, Cecilia
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Bateman, Alex
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Baumbach, Jan
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Beerenwinkel, Niko
dc.contributor.author
Brandt, Christian
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Cacciabue, Marco Polo Domingo
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Chuguransky, Sara Rocío
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Drechsel, Oliver
dc.contributor.author
Finn, Robert D.
dc.contributor.author
Fritz, Adrian
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Fuchs, Stephan
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Hattab, Georges
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Hauschild, Anne Christin
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Heider, Dominik
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Hoffmann, Marie
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Hölzer, Martin
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Hoops, Stefan
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Kaderali, Lars
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Kalvari, Ioanna
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von Kleist, Max
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Kmiecinski, Renó
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Kühnert, Denise
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Lasso, Gorka
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Libin, Pieter
dc.contributor.author
List, Markus
dc.contributor.author
Löchel, Hannah F.
dc.date.available
2021-03-16T19:33:35Z
dc.date.issued
2020-11-04
dc.identifier.citation
Hufsky, Franziska; Lamkiewicz, Kevin; Almeida, Alexandre; Aouacheria, Abdel; Arighi, Cecilia; et al.; Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research; Oxford University Press; Briefings In Bioinformatics; bbaa232; 4-11-2020; 1-22
dc.identifier.issn
1467-5463
dc.identifier.uri
http://hdl.handle.net/11336/128424
dc.description.abstract
SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel virus of the family Coronaviridae. The virus causesthe infectious disease COVID-19. The biology of coronaviruses has been studied for many years. However, bioinformaticstools designed explicitly for SARS-CoV-2 have only recently been developed as a rapid reaction to the need for fast detection,understanding and treatment of COVID-19. To control the ongoing COVID-19 pandemic, it is of utmost importance to getinsight into the evolution and pathogenesis of the virus. In this review, we cover bioinformatics workflows and tools for theroutine detection of SARS-CoV-2 infection, the reliable analysis of sequencing data, the tracking of the COVID-19 pandemicand evaluation of containment measures, the study of coronavirus evolution, the discovery of potential drug targets anddevelopment of therapeutic strategies. For each tool, we briefly describe its use case and how it advances researchspecifically for SARS-CoV-2.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Oxford University Press
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
VIRUS BIOINFORMATICS
dc.subject
SARS-COV-2
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EPIDEMIOLOGY
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TOOLS
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COVID-19
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Virología
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
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Otras Ciencias de la Computación e Información
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-03-15T15:47:09Z
dc.journal.number
bbaa232
dc.journal.pagination
1-22
dc.journal.pais
Reino Unido
dc.journal.ciudad
Oxford
dc.description.fil
Fil: Hufsky, Franziska. Friedrich Schiller University Jena; Alemania
dc.description.fil
Fil: Lamkiewicz, Kevin. Friedrich Schiller University Jena; Alemania
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Fil: Almeida, Alexandre. the Wellcome Sanger Institute; Reino Unido
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Fil: Aouacheria, Abdel. Centre National de la Recherche Scientifique; Francia
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Fil: Arighi, Cecilia. Biocuration and Literature Access at PIR; Estados Unidos
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Fil: Bateman, Alex. European Bioinformatics Institute. Head of Protein Sequence Resources; Reino Unido
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Fil: Baumbach, Jan. Universitat Technical Zu Munich; Alemania
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Fil: Beerenwinkel, Niko. Universitat Technical Zu Munich; Alemania
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Fil: Brandt, Christian. Jena University Hospital; Alemania
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Fil: Cacciabue, Marco Polo Domingo. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación En Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Chuguransky, Sara Rocío. European Bioinformatics Institute; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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Fil: Drechsel, Oliver. Robert Koch-Institute; Alemania
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Fil: Finn, Robert D.. Biocurator for Pfam and InterPro databases; Reino Unido
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Fil: Fritz, Adrian. Helmholtz Centre for Infection Research; Alemania
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Fil: Fuchs, Stephan. Robert Koch-Institute; Alemania
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Fil: Hattab, Georges. University Marburg; Alemania
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Fil: Hauschild, Anne Christin. University Marburg; Alemania
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Fil: Heider, Dominik. University Marburg; Alemania
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Fil: Hoffmann, Marie. Freie Universität Berlin; Alemania
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Fil: Hölzer, Martin. Friedrich Schiller University Jena; Alemania
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Fil: Hoops, Stefan. University of Virginia; Estados Unidos
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Fil: Kaderali, Lars. University Medicine Greifswald; Alemania
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Fil: Kalvari, Ioanna. European Bioinformatics Institute; Reino Unido
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Fil: von Kleist, Max. Robert Koch-Institute; Alemania
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Fil: Kmiecinski, Renó. Robert Koch-Institute; Alemania
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Fil: Kühnert, Denise. Max Planck Institute for the Science of Human History; Alemania
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Fil: Lasso, Gorka. Albert Einstein College of Medicine; Estados Unidos
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Fil: Libin, Pieter. Hasselt University; Bélgica
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Fil: List, Markus. Universitat Technical Zu Munich; Alemania
dc.description.fil
Fil: Löchel, Hannah F.. University Marburg; Alemania
dc.journal.title
Briefings In Bioinformatics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbaa232/5955939
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1093/bib/bbaa232
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