AutoVEM: An automated tool to real-time monitor epidemic trends and key mutations in SARS-CoV-2 evolution
2021 · Computational and Structural Biotechnology Journal · 9 citations
https://doi.org/10.1016/j.csbj.2021.04.002
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Binbin Xi
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Binbin Xi is an academic researcher from South China University of Technology. The author has contributed to research in topics: SARS-CoV-2 and COVID-19 Research & SARS-CoV-2 detection and testing & vaccines and immunoinformatics approaches. The author has an h-index of 5, co-authored 11 publications.
ORCID: 0000-0001-7290-7566Papers by this author
worksAutoVEM2: A flexible automated tool to analyze candidate key mutations and epidemic trends for virus
2021 · Computational and Structural Biotechnology Journal · 4 citations
https://doi.org/10.1016/j.csbj.2021.09.002
Within-Host Fitness and Antigenicity Shift Are Key Factors Influencing the Prevalence of Within-Host Variations in the SARS-CoV-2 S Gene
2025 · Viruses · 0 citations
https://doi.org/10.3390/v17030362
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