Hufsky, Franziska and Lamkiewicz, Kevin and Almeida, Alexandre and Aouacheria, Abdel and Arighi, Cecilia and Bateman, Alex and Baumbach, Jan and Beerenwinkel, Niko and Brandt, Christian and Cacciabue, Marco and Chuguransky, Sara and Drechsel, Oliver and Finn, Robert D and Fritz, Adrian and Fuchs, Stephan and Hattab, Georges and Hauschild, Anne-Christin and Heider, Dominik and Hoffmann, Marie and Hölzer, Martin and Hoops, Stefan and Kaderali, Lars and Kalvari, Ioanna and von Kleist, Max and Kmiecinski, Renó and Kühnert, Denise and Lasso, Gorka and Libin, Pieter and List, Markus and Löchel, Hannah F and Martin, Maria J and Martin, Roman and Matschinske, Julian and McHardy, Alice C and Mendes, Pedro and Mistry, Jaina and Navratil, Vincent and Nawrocki, Eric P and O’Toole, Áine Niamh and Ontiveros-Palacios, Nancy and Petrov, Anton I and Rangel-Pineros, Guillermo and Redaschi, Nicole and Reimering, Susanne and Reinert, Knut and Reyes, Alejandro and Richardson, Lorna and Robertson, David L and Sadegh, Sepideh and Singer, Joshua B and Theys, Kristof and Upton, Chris and Welzel, Marius and Williams, Lowri and Marz, Manja (2020) Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research. Briefings in Bioinformatics, 22 (2). pp. 642-663. ISSN 1467-5463
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Official URL: https://doi.org/10.1093/bib/bbaa232
Abstract
SARS-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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | virus bioinformatics, SARS-CoV-2, sequencing, epidemiology, drug design, tools |
| Subjects: | Mathematical and Computer Sciences > Computer Science |
| Divisions: | Department of Mathematics and Computer Science > Institute of Computer Science > Algorithmic Bioinformatics Group |
| ID Code: | 2517 |
| Deposited By: | Anja Kasseckert |
| Deposited On: | 18 Mar 2021 12:55 |
| Last Modified: | 08 Jun 2021 14:28 |
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