Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

Franziska Hufsky , Kevin Lamkiewicz , Alexandre Almeida , Abdel Aouacheria (1) , Cecilia Arighi , Alex Bateman , Jan Baumbach , Niko Beerenwinkel , Christian Brandt , Marco Cacciabue , Sara Chuguransky , Oliver Drechsel , Robert 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 Löchel , Maria Martin , Roman Martin , Julian Matschinske , Alice Mchardy , Pedro Mendes , Jaina Mistry , Vincent Navratil , Eric Nawrocki , Áine Niamh O’toole , Nancy Ontiveros-Palacios , Anton Petrov , Guillermo Rangel-Pineros , Nicole Redaschi , Susanne Reimering , Knut Reinert , Alejandro Reyes , Lorna Richardson , David Robertson , Sepideh Sadegh , Joshua Singer , Kristof Theys , Chris Upton , Marius Welzel , Lowri Williams , Manja Marz

1 UMR ISEM - Institut des Sciences de l'Evolution de Montpellier

Domaines: Immunothérapie; Cancer; Reproduction sexuée; Organisation et fonctions cellulaires [q-bio.SC]; Génomique, Transcriptomique et Protéomique [q-bio.GN]; Biologie moléculaire; Biochimie [q-bio.BM]; Biotechnologie; Bio-informatique [q-bio.QM]

Franziska Hufsky, Kevin Lamkiewicz, Alexandre Almeida, Abdel Aouacheria, Cecilia Arighi, et al.. Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research. Briefings in Bioinformatics, 2020, ⟨10.1093/bib/bbaa232⟩. ⟨hal-03007535⟩