ICAR Research Data Repository for Knowledge Management
Replication Data for: Optimization of the SARS-CoV-2 ARTIC Network V4 whole genome sequencing protocol
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
Replication Data for: Optimization of the SARS-CoV-2 ARTIC Network V4 whole genome sequencing protocol
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| Identifier |
https://doi.org/10.7910/DVN/VYPOOP
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| Creator |
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 |
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| Publisher |
Harvard Dataverse
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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. |
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| Subject |
Medicine, Health and Life Sciences
ARTIC V4 SARS-CoV-2 whole genome sequencing amplicon drop-off protocol |
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| Contributor |
Lambisia, Arnold W.
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