在SARS-CoV-2研究中应用数字数据和生物信息学工具
Meng Tan1, Jiaxin Xia1, Haitao Luo1
1School of Life Sciences, Chongqing University, Chongqing, China.
Computational and structural biotechnology journal
|October 16, 2023
概括
生物信息学工具通过分析SARS-CoV-2数据加速了COVID-19研究. 本次审查强调了对病毒研究和未来流行病准备工作至关重要的数字资源.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 病毒学 病毒学
背景情况:
- 由SARS-CoV-2引起的COVID-19大流行突出了生物信息学在科学进步中的关键作用.
- 新型算法,大数据技术,人工智能和深度学习的快速发展推动了生物信息学工具的创建,用于分析SARS-CoV-2数据.
研究的目的:
- 审查和总结在SARS-CoV-2研究中使用的数据库,网络服务和软件.
- 通过对必要的数字资源进行目录,促进未来的in-silico分析.
主要方法:
- 文献审查和生物信息学工具和资源的综合.
- 基于其在SARS-CoV-2研究中的应用,对工具进行分类.
主要成果:
- 确定了应用在基因组分析,进化追踪,流行病学,蛋白质结构,病毒与宿主相互作用和临床性能方面的关键生物信息学工具.
- 列出了各种数据库,网络服务和软件,这些数据库和软件对于SARS-CoV-2研究至关重要.
结论:
- 审查的数字资源对于正在进行的SARS-CoV-2研究至关重要.
- 这些资源有可能用于研究其他冠状病毒和非冠状病毒,帮助未来的流行病反应.
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