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Title: | Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research | Authors: | Hufsky, Franziska Lamkiewicz, Kevin Almeida, Alexandre Aouacheria, Abdel Arighi, Cecilia Bateman, Alex Baumbach, Jan Beerenwinkel, Niko Brandt, Christian Cacciabue, Marco Chuguransky, Sara Drechsel, Oliver Finn, Robert D Fritz, Adrian Fuchs, Stephan Hattab, Georges Hauschild, Anne-Christin Heider, Dominik Hoffmann, Marie Hölzer, Martin Hoops, Stefan Kaderali, Lars Kalvari, Ioanna von Kleist, Max Kmiecinski, Renó Kühnert, Denise Lasso, Gorka LIBIN, Pieter List, Markus Löchel, Hannah F Martin, Maria J Martin, Roman Matschinske, Julian McHardy, Alice C Mendes, Pedro Mistry, Jaina Navratil, Vincent Nawrocki, Eric P O'Toole, Áine Niamh Ontiveros-Palacios, Nancy Petrov, Anton I Rangel-Pineros, Guillermo Redaschi, Nicole Reimering, Susanne Reinert, Knut Reyes, Alejandro Richardson, Lorna Robertson, David L Sadegh, Sepideh Singer, Joshua B Theys, Kristof Upton, Chris Welzel, Marius Williams, Lowri Marz, Manja |
Issue Date: | 2021 | Publisher: | OXFORD UNIV PRESS | Source: | BRIEFINGS IN BIOINFORMATICS, 22 (2) , p. 642 -663 | 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. Contact:evbc@unj-jena.de. | Keywords: | SARS-CoV-2;drug design;epidemiology;sequencing;tools;virus bioinformatics;Biomedical Research;COVID-19;Genome, Viral;Humans;Pandemics;SARS-CoV-2;Computational Biology | Document URI: | http://hdl.handle.net/1942/34336 | ISSN: | 1467-5463 | e-ISSN: | 1477-4054 | DOI: | 10.1093/bib/bbaa232 | ISI #: | WOS:000642298000004 | Rights: | © The Author(s) 2020. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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bbaa232.pdf | Published version | 2.36 MB | Adobe PDF | View/Open |
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