| Literature DB >> 33147627 |
Franziska Hufsky1, Kevin Lamkiewicz1, Alexandre Almeida2, Abdel Aouacheria3, Cecilia Arighi4, Alex Bateman5, Jan Baumbach6, Niko Beerenwinkel7, Christian Brandt8, Marco Cacciabue9, Sara Chuguransky10, Oliver Drechsel11, Robert D Finn12, Adrian Fritz13, Stephan Fuchs11, Georges Hattab14, Anne-Christin Hauschild15, Dominik Heider16, Marie Hoffmann17, Martin Hölzer18, Stefan Hoops19, Lars Kaderali20, Ioanna Kalvari21, Max von Kleist11, Renó Kmiecinski11, Denise Kühnert22, Gorka Lasso23, Pieter Libin24, Markus List6, Hannah F Löchel15, Maria J Martin25, Roman Martin15, Julian Matschinske26, Alice C McHardy27, Pedro Mendes28, Jaina Mistry25, Vincent Navratil29, Eric P Nawrocki30, Áine Niamh O'Toole31, Nancy Ontiveros-Palacios25, Anton I Petrov25, Guillermo Rangel-Pineros32, Nicole Redaschi33, Susanne Reimering34, Knut Reinert17, Alejandro Reyes35, Lorna Richardson36, David L Robertson37, Sepideh Sadegh38, Joshua B Singer39, Kristof Theys40, Chris Upton41, Marius Welzel15, Lowri Williams42, Manja Marz18.
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.Entities:
Keywords: SARS-CoV-2; drug design; epidemiology; sequencing; tools; virus bioinformatics
Mesh:
Year: 2021 PMID: 33147627 PMCID: PMC7665365 DOI: 10.1093/bib/bbaa232
Source DB: PubMed Journal: Brief Bioinform ISSN: 1467-5463 Impact factor: 11.622