TY - JOUR
AU - Hufsky, Franziska
AU - Lamkiewicz, Kevin
AU - Almeida, Alexandre
AU - Aouacheria, Abdel
AU - Arighi, Cecilia
AU - Bateman, Alex
AU - Baumbach, Jan
AU - Beerenwinkel, Niko
AU - Brandt, Christian
AU - Cacciabue, Marco
AU - Chuguransky, Sara
AU - Drechsel, Oliver
AU - Finn, Robert D
AU - Fritz, Adrian
AU - Fuchs, Stephan
AU - Hattab, Georges
AU - Hauschild, Anne-Christin
AU - Heider, Dominik
AU - Hoffmann, Marie
AU - Hölzer, Martin
AU - Hoops, Stefan
AU - Kaderali, Lars
AU - Kalvari, Ioanna
AU - von Kleist, Max
AU - Kmiecinski, Renó
AU - Kühnert, Denise
AU - Lasso, Gorka
AU - Libin, Pieter
AU - List, Markus
AU - Löchel, Hannah F
AU - Martin, Maria J
AU - Martin, Roman
AU - Matschinske, Julian
AU - McHardy, Alice C
AU - Mendes, Pedro
AU - Mistry, Jaina
AU - Navratil, Vincent
AU - Nawrocki, Eric P
AU - O'Toole, Áine Niamh
AU - Ontiveros-Palacios, Nancy
AU - Petrov, Anton I
AU - Rangel-Pineros, Guillermo
AU - Redaschi, Nicole
AU - Reimering, Susanne
AU - Reinert, Knut
AU - Reyes, Alejandro
AU - Richardson, Lorna
AU - Robertson, David L.
AU - Sadegh, Sepideh
AU - Singer, Joshua B.
AU - Theys, Kristof
AU - Upton, Chris
AU - Welzel, Marius
AU - Williams, Lowri
AU - Marz, Manja
PY - 2020
DA - November
TI - Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research
JO - Briefings in Bioinformatics
EP - 663
VL - 22
IS - 2
DO - https://doi.org/10.1093/bib/bbaa232
AB - 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.
PB - Oxford University Press
UR - https://eprints.gla.ac.uk/229673/
KW - Coronavirus (COVID-19)
KW - Digital health and technology
KW - Research methods
ER