Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

Authors

• Ferrarini, Mariana G.¹
• Lal, Avantika²
• Rebollo, Rita¹
• Gruber, Andreas J.³
• Guarracino, Andrea⁴
• Gonzalez, Itziar Martinez⁵
• Floyd, Taylor⁶
• de Oliveira, Daniel Siqueira⁷
• Shanklin, Justin⁸
• Beausoleil, Ethan⁸
• Pusa, Taneli⁹
• Pickett, Brett E.⁸
• Aguiar-Pulido, Vanessa¹⁰

• ¹ University of Lyon, INSA-Lyon, INRA BF2l, Villeurbanne, France , Villeurbanne (France)
• ² NVIDIA Corporation, Santa Clara, CA, USA , Santa Clara (United States)
• ³ University of Konstanz, Konstanz, Germany , Konstanz (Germany)
• ⁴ University Of Rome Tor Vergata, Rome, Italy , Rome (Italy)
• ⁵ Amsterdam UMC, Amsterdam, The Netherlands , Amsterdam (Netherlands)
• ⁶ Cornell University, New York, NY, USA , New York (United States)
• ⁷ Laboratoire de Biométrie et Biologie Evolutive, Université de Lyon, Université Lyon 1, CNRS UMR 5558, Villeurbanne, France , Villeurbanne (France)
• ⁸ Brigham Young University, Provo, UT, USA , Provo (United States)
• ⁹ Luxembourg Centre for Systems Biomedicine, Belvaux, Luxembourg , Belvaux (Luxembourg)
• ¹⁰ University of Miami, Coral Gables, FL, USA , Coral Gables (United States)

Type

Published Article

Journal

Communications Biology

Publisher

Nature Publishing Group UK

Publication Date

May 17, 2021

Volume

4

Issue

1

Identifiers

DOI: 10.1038/s42003-021-02095-0

Source

Springer Nature

License

Green