Published January 19, 2021
| Version 1.0
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Supplementary materials for "Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis"
Creators
- 1. University of Lyon, INSA-Lyon, INRAE, BF2I, Villeurbanne, France
- 2. NVIDIA Corporation, Santa Clara, CA, USA
- 3. Oxford Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- 4. Centre for Molecular Bioinformatics, Department of Biology, University Of Rome Tor Vergata, Rome, Italy
- 5. Netherlands Amsterdam UMC, Amsterdam, The Netherlands
- 6. Center for Neurogenetics, Weill Cornell Medicine, Cornell University, New York, NY, USA
- 7. Laboratoire de Biométrie et Biologie Evolutive, Université de Lyon CNRS, UMR 5558, Villeurbanne, France
- 8. Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT, USA
- 9. Luxembourg Centre for Systems Biomedicine, Belvaux, Luxembourg
Description
Supplementary materials for the revised version of the bioRxiv preprint "Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis" (https://doi.org/10.1101/2020.07.28.225581).
Files
Supplementary_Figure_S1_PCA_Plots.pdf
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Additional details
Related works
- Is supplement to
- 10.1101/2020.07.28.225581 (DOI)
References
- Ferrarini, Lal, et al. (2020). Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis. bioRxiv 2020.07.28.225581