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"Computational strategies to combat COVID-19: useful tools to accelerate ..."
Franziska Hufsky et al. (2021)
- Franziska Hufsky, Kevin Lamkiewicz, Alexandre Almeida
, Abdel Aouacheria, Cecilia N. Arighi, Alex Bateman
, Jan Baumbach
, Niko Beerenwinkel, Christian Brandt
, Marco Cacciabue, Sara Chuguransky
, Oliver Drechsel, Robert D. Finn
, Adrian Fritz, Stephan Fuchs, Georges Hattab
, Anne-Christin Hauschild, Dominik Heider, Marie Hoffmann, Martin Hölzer, Stefan Hoops, Lars Kaderali, Ioanna Kalvari
, Max von Kleist
, Renó Kmiecinski, Denise Kühnert
, Gorka Lasso, Pieter Libin
, Markus List
, Hannah F. Löchel
, Maria Jesus Martin
, Roman Martin
, Julian O. Matschinske, Alice C. McHardy
, Pedro Mendes
, Jaina Mistry
, Vincent Navratil
, Eric P. Nawrocki, Áine Niamh O'toole, Nancy Ontiveros-Palacios
, Anton I. Petrov
, Guillermo Rangel-Pineros
, Nicole Redaschi
, Susanne Reimering, Knut Reinert
, Alejandro Reyes
, Lorna J. Richardson
, David L. Robertson
, Sepideh Sadegh
, Joshua B. Singer, Kristof Theys, Chris Upton, Marius Welzel, Lowri Williams
, Manja Marz
:
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research. Briefings Bioinform. 22(2): 642-663 (2021)
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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