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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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| 發表在: | Comput Struct Biotechnol J |
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| Main Authors: | , , , , , , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Research Network of Computational and Structural Biotechnology
2021
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| 主題: | |
| 在線閱讀: | 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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