Replication Data for: Optimization of the SARS-CoV-2 ARTIC Network V4 whole genome sequencing protocol

Version 2.0
Replication Data for: Optimization of the SARS-CoV-2 ARTIC Network V4 whole genome sequencing protocol
Lambisia, Arnold W.; Mohammed, Khadija S.; Makori, Timothy O.; Ndwiga, Leonard; Mburu, Maureen W.; Moraa, Edidah O.; Mwita, John; Njeri, Jane M.; Murunga, Nickson; Musyoki, Jennifer; OCholla-Oyier, Lynette Isabella; Nokes, David James; Agoti, Charles N.; Githinji, George, 2021, "Replication Data for: Optimization of the SARS-CoV-2 ARTIC Network V4 whole genome sequencing protocol", https://doi.org/10.7910/DVN/VYPOOP, Harvard Dataverse, V2, UNF:6:A4U+YD1cFEeENj2vDysMZA== [fileUNF]
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Description

This dataset is part of genomic surveillance of SARS-CoV-2 in Kenya study. This dataset contains results of an optimisation of a whole genome sequencing protocol that contains ARTIC V4 primers using samples positive for SARS-CoV-2. Aside from the samples used for optimisation, percent genome coverage and Pango lineage classifications are also included. The dataset is used to show improvement in genome recovery when using ARTIC V4 primers compared to ARTIC V3 primers.

Subject Medicine, Health and Life Sciences
Keyword ARTIC V4, SARS-CoV-2, whole genome sequencing, amplicon drop-off, protocol
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