Variation and evolution analysis of SARS-CoV-2 using self-game sequence optimization
Overall, DARSEP enriches our understanding of the dynamic evolution of SARS-CoV-2 and provides robust support for addressing present and future epidemic challenges.
Authors
- Hongwei Zhu (ORCID: https://orcid.org/0000-0001-5520-3321)
- Hailong Hu (ORCID: https://orcid.org/0000-0001-5299-2812)
- Yanlei Kang
- Ziyu Liu (ORCID: https://orcid.org/0000-0001-8766-9978)
- Ming Chen (ORCID: https://orcid.org/0000-0001-5041-9342)
- Yi Shen (ORCID: https://orcid.org/0000-0002-5311-9756)
- Yunliang Jiang (ORCID: https://orcid.org/0000-0002-2914-6818)
- Zhong Li
Institutions
- Zhejiang Normal University (CN)
- Shaoxing University (CN)
- Huzhou Normal University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Microbiology
- Published
- 2024-11-11
- DOI
- https://doi.org/10.3389/fmicb.2024.1485748
- Citations
- 1
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 0.39
Funders
- National Natural Science Foundation of China