Extensive Alignment Dataset of COVID-19 Gene Primers and Probes Across SARS-CoV-2 Variants

<b>This dataset contains a comprehensive analysis of COVID-19 genetic sequences focused on four key genes:</b><b> Spike Glycoprotein,</b><b> Envelope Protein,</b><b> Nucleocapsid Protein,</b><b> and 3' UTR(</b><b>3' </b><b>untranslated region).</b><b> It comprises 20 Excel files,</b><b> each holding 100,</b><b>000 samples.</b><b> A Python script was employed to evaluate primer sets using local alignment against sequences from the NCBI database,</b><b> with lineage determination via the Pangolin tool.</b><b> Each Excel file contains four sheets,</b><b> one per gene,</b><b> with columns for accession ID,</b><b> sample name,</b><b> primer sequences,</b><b> alignment metrics,</b><b> and lineage.</b><b> The dataset includes primer analysis for 2 million sequences across all genes and probe analysis for 1 million sequences in a separate set of 10 Excel files. The dataset contains an additional Excel file that contains the count of </b><b>lineage</b><b> samples to which the primer and the probes were aligned.</b>

本数据集针对新型冠状病毒肺炎（COVID-19）的四类关键基因开展了全面的序列分析，涵盖刺突糖蛋白（Spike Glycoprotein）、包膜蛋白（Envelope Protein）、核衣壳蛋白（Nucleocapsid Protein）以及3'非翻译区（3' UTR, 3' untranslated region）。本数据集包含20个Excel文件，每个文件内含100,000条样本。研究人员采用Python脚本，通过与NCBI数据库中的序列进行局部比对来评估引物集，并借助Pangolin工具完成谱系分型。每个Excel文件包含4个工作表，分别对应上述四类基因，工作表内设有登录号（accession ID）、样本名称、引物序列、比对指标以及谱系信息等列。本数据集涵盖了针对所有四类基因的200万条序列的引物分析，以及另外10个Excel文件中100万条序列的探针分析。此外，本数据集还包含一个额外的Excel文件，用于统计与引物及探针完成比对的谱系样本数量。