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AutoVEM: An automated tool to real-time monitor epidemic trends and key mutations in SARS-CoV-2 evolution
With the global epidemic of SARS-CoV-2, it is important to effectively monitor the variation, haplotype subgroup epidemic trends and key mutations of SARS-CoV-2 over time. This is of great significance to the development of new vaccines, the update of therapeutic drugs, and the improvement of detect...
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| Publicado en: | Comput Struct Biotechnol J |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8020629/ https://ncbi.nlm.nih.gov/pubmed/33841748 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2021.04.002 |
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