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2020-11-04Zeitschriftenartikel DOI: 10.25646/8903
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research
dc.contributor.authorHufsky, Franziska
dc.contributor.authorLamkiewicz, Kevin
dc.contributor.authorAlmeida, Alexandre
dc.contributor.authorAouacheria, Abdel
dc.contributor.authorArighi, Cecilia
dc.contributor.authorBateman, Alex
dc.contributor.authorBaumbach, Jan
dc.contributor.authorBeerenwinkel, Niko
dc.contributor.authorBrandt, Christian
dc.contributor.authorCacciabue, Marco
dc.contributor.authorChuguransky, Sara
dc.contributor.authorDrechsel, Oliver
dc.contributor.authorFinn, Robert D
dc.contributor.authorFritz, Adrian
dc.contributor.authorFuchs, Stephan
dc.contributor.authorHattab, Georges
dc.contributor.authorHauschild, Anne-Christin
dc.contributor.authorHeider, Dominik
dc.contributor.authorHoffmann, Marie
dc.contributor.authorHölzer, Martin
dc.contributor.authorHoops, Stefan
dc.contributor.authorKaderali, Lars
dc.contributor.authorKalvari, Ioanna
dc.contributor.authorvon Kleist, Max
dc.contributor.authorKmiecinski, Renó
dc.contributor.authorKühnert, Denise
dc.contributor.authorLasso, Gorka
dc.contributor.authorLibin, Pieter
dc.contributor.authorList, Markus
dc.contributor.authorLöchel, Hannah F.
dc.contributor.authorMartin, Maria J.
dc.contributor.authorMartin, Roman
dc.contributor.authorMatschinske, Julian
dc.contributor.authorMcHardy, Alice C.
dc.contributor.authorMendes, Pedro
dc.contributor.authorMistry, Jaina
dc.contributor.authorNavratil, Vincent
dc.contributor.authorNawrocki, Eric P.
dc.contributor.authorO'Toole, Áine Niamh
dc.contributor.authorOntiveros-Palacios, Nancy
dc.contributor.authorPetrov, Anton I
dc.contributor.authorRangel-Pineros, Guillermo
dc.contributor.authorRedaschi, Nicole
dc.contributor.authorReimering, Susanne
dc.contributor.authorReinert, Knut
dc.contributor.authorReyes, Alejandro
dc.contributor.authorRIchardson, Lorna
dc.contributor.authorRobertson, David L.
dc.contributor.authorSadegh, Sepideh
dc.contributor.authorSinger, Joshua B.
dc.contributor.authorTheys, Kristof
dc.contributor.authorUpton, Chris
dc.contributor.authorWelzel, Marius
dc.contributor.authorWilliams, Lowri
dc.contributor.authorMarz, Manja
dc.date.accessioned2021-08-09T11:32:21Z
dc.date.available2021-08-09T11:32:21Z
dc.date.issued2020-11-04none
dc.identifier.other10.1093/bib/bbaa232
dc.identifier.urihttp://edoc.rki.de/176904/8614
dc.description.abstractSARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel virus of the family Coronaviridae. The virus causes the infectious disease COVID-19. The biology of coronaviruses has been studied for many years. However, bioinformatics tools 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 get insight into the evolution and pathogenesis of the virus. In this review, we cover bioinformatics workflows and tools for the routine detection of SARS-CoV-2 infection, the reliable analysis of sequencing data, the tracking of the COVID-19 pandemic and evaluation of containment measures, the study of coronavirus evolution, the discovery of potential drug targets and development of therapeutic strategies. For each tool, we briefly describe its use case and how it advances research specifically for SARS-CoV-2. All tools are free to use and available online, either through web applications or public code repositories.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectvirus bioinformaticseng
dc.subjectSARS-CoV-2eng
dc.subjectsequencingeng
dc.subjectepidemiologyeng
dc.subjectdrug designeng
dc.subjecttoolseng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleComputational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus researchnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:0257-176904/8614-2
dc.identifier.doihttp://dx.doi.org/10.25646/8903
dc.type.versionpublishedVersionnone
local.edoc.container-titleBriefings in Bioinformaticsnone
local.edoc.container-issn1477-4054none
local.edoc.pages22none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttps://academic.oup.com/bib/article/22/2/642/5955939none
local.edoc.container-publisher-nameOxford University Pressnone
local.edoc.container-volume22none
local.edoc.container-issue2none
local.edoc.container-firstpage642none
local.edoc.container-lastpage663none
local.edoc.rki-departmentMethodenentwicklung und Forschungsinfrastrukturnone
dc.description.versionPeer Reviewednone

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