Since late 2019, COVID-19 has significantly impacted the world. Understanding the evolution of SARS-CoV-2 is crucial for protecting against future infectious pathogens. In this study, we conducted a comprehensive chronological analysis of SARS-CoV-2 evolution by examining mutation prevalence from the source countries of VOCs: United Kingdom, India, Brazil, South Africa, plus two countries: United States, Russia, utilizing genomic sequences from GISAID. Our methodological approach involved large-scale genomic sequence alignment using MAFFT, Python-based data processing on a high-performance computing platform, and advanced statistical methods the Maximal Information Coefficient (MIC), and also Long Short-Term Memory (LSTM) models for correlation analysis.

中文翻译：

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基于不同国家的SARS-CoV-2进化动态分析

自 2019 年底以来，COVID-19 对世界产生了重大影响。了解 SARS-CoV-2 的进化对于预防未来的传染性病原体至关重要。在本研究中，我们利用基因组序列检查 VOC 来源国（英国、印度、巴西、南非）以及两个国家（美国、俄罗斯）的突变流行情况，对 SARS-CoV-2 进化进行了全面的时间顺序分析来自GISAID。我们的方法涉及使用 MAFFT 进行大规模基因组序列比对、高性能计算平台上基于 Python 的数据处理、最大信息系数 (MIC) 以及长短期记忆 (LSTM) 模型的高级统计方法。相关性分析。