Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.
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Finn, Robert D
von Kleist, Max
Löchel, Hannah F
Martin, Maria J
McHardy, Alice C
Nawrocki, Eric P
O'Toole, Áine Niamh
Petrov, Anton I
Robertson, David L
Singer, Joshua B
MetadataShow full item record
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.
CitationBrief Bioinform. 2020 Nov 4:bbaa232. doi: 10.1093/bib/bbaa232. Epub ahead of print.
AffiliationBRICS, Braunschweiger Zentrum für Systembiologie, Rebenring 56,38106 Braunschweig, Germany.
JournalBriefings in bioinformatics
The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International
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