Replication Data for: Genomic Epidemiology of SARS-CoV-2 in Seychelles, 2020-2021
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<p>This is a replication dataset for the submitted manuscript: "<a href="">Genomic Epidemiology of SARS-CoV-2 in Seychelles, 2020-2021</a>." The data package contains data and analysis scripts for generating figures included in the manuscript. Whole genome sequences are available from <a href="https://www.gisaid.org/">GISAID</a> database accession number EPI_ISL_4880527 - EPI_ISL_4880796, EPI_ISL_4880796 - EPI_ISL_5943661 and EPI_ISL_6705004 - EPI_ISL_6705093. </p>
<p>The related study is part of a regional collaborative COVID-19 public health rapid response initiative overseen by WHO-AFRO and Africa-CDC do decribe the SARS-CoV-2 genomic epidemiology in Africa.</p>
<p>Data analysis R code and python script is as provided below;
<ol>
<li>Figure_1&2_17Feb2022.R - This r code plots the Seychelles government intervention levels, number of daily COVID-19 cases, the temporal patterns of SARS CoV-2 Lineages in Seychelles. </li>
<li> Figure3_12March2022.R - This r code plots the lineages-specific phylogenetic tree of Omicron, Alpha, Beta, Delta VOC, and Non-VOC.</li>
<li>Figure4_12March2022.R - This r code plots the global time resolved tree and the number of transition events between discrete locations.</li>
<li>Supplimentary Figure1_12March2022 - This r code plots the monthly COVID-19 cases and number of samples received at KWTRP for whole genome sequencing.</li>
<li>SupplemenataryFigure3a_b_12March2022.R -This r code plots the frequency of amino acid and deletion mutation in Seychelles sequences.</li>
<li> AncestralChanges.py</li>
</ol>
</p>
提供机构:
Harvard Dataverse
创建时间:
2022-03-17



