Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis
Ferrarini & Lal et al. developed a novel bioinformatic pipeline to explore how SARS-CoV-2 interacts with human respiratory cells using public available host gene expression and viral genome sequence data. Several human genes and proteins were predicted to play a role in the viral life cycle and...
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| Auteurs principaux: | , , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/7db6be240b2d4d2b963adb464003e329 |
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