Predicting the trend of SARS-CoV-2 mutation frequencies using historical data

Xinyu Zhou, Yi Yan, Kevin Hu, Haixu Tang, Yijie Wang, Lu Wang, Chi Zhang, Sha Cao

Open source

DOI: 10.1093/bioinformatics/btaf508
Published: 2025-09-17
Container: Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btaf508,
  title = {Predicting the trend of SARS-CoV-2 mutation frequencies using historical data},
  author = {Xinyu Zhou and Yi Yan and Kevin Hu and Haixu Tang and Yijie Wang and Lu Wang and Chi Zhang and Sha Cao},
  year = {2025},
  journal = {Bioinformatics},
  doi = {10.1093/bioinformatics/btaf508},
  url = {https://doi.org/10.1093/bioinformatics/btaf508}
}

RIS

TY  - JOUR
TI  - Predicting the trend of SARS-CoV-2 mutation frequencies using historical data
AU  - Xinyu Zhou
AU  - Yi Yan
AU  - Kevin Hu
AU  - Haixu Tang
AU  - Yijie Wang
AU  - Lu Wang
AU  - Chi Zhang
AU  - Sha Cao
PY  - 2025
JO  - Bioinformatics
DO  - 10.1093/bioinformatics/btaf508
UR  - https://doi.org/10.1093/bioinformatics/btaf508
ER  -

APA

Zhou, X., Yan, Y., Hu, K., Tang, H., Wang, Y., Wang, L., Zhang, C., & Cao, S. (2025). Predicting the trend of SARS-CoV-2 mutation frequencies using historical data. Bioinformatics. https://doi.org/10.1093/bioinformatics/btaf508

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crossref · retrieved 2026-09-24T20:05:45.242Z