Getting close to nature – Plasmodium knowlesi reference genome sequences from contemporary clinical isolates
Damilola R. Oresegun
, Peter Thorpe, Benavente, E
, Campino, S
, Fauzi Muh, Moon, RW
, Clark, T
and Cox-Singh, J
(2021).
Getting close to nature – Plasmodium knowlesi reference genome sequences from contemporary clinical isolates.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.5598263
Supporting data for the attached publication. De Novo assembled genomes of Plasmodium knowlesi generated using Nanopore long reads. Supporting statistical results are included. Variant call files from structural variant calls are attached for each genome. Additionally, statistical results from BUSCO, QUAST, Pomoxis and AGAT are included. Annotation files in GFF3 format including further analyses of these annotation files are attached. Scripts for post analysis are attached with scripts for data generation presented on Github repository: "Pknowlesi_denovo_genome_assembly"
Keywords
Plasmodium knowlesi, De novo genome assembly, Nanopore, Long read, SICAvar, KIR, multigene, AnnotationItem Type | Dataset |
---|---|
Capture method | Unknown |
Date | 10 November 2021 |
Language(s) of written materials | English |
Creator(s) |
Damilola R. Oresegun |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, University of St. Andrews, St Andrews, Scotland |
Date Deposited | 28 Oct 2021 09:16 |
Last Modified | 28 Oct 2021 09:16 |
Publisher | Zenodo |
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