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Data and code underlying the publication: Emergence of novel SARS-CoV-2 variants in the Netherlands

DOI:10.4121/11bff1ea-4784-463e-90d0-eb2e2b64fe96.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/11bff1ea-4784-463e-90d0-eb2e2b64fe96

Datacite citation style

Urhan, Aysun; Thomas Abeel (2025): Data and code underlying the publication: Emergence of novel SARS-CoV-2 variants in the Netherlands. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/11bff1ea-4784-463e-90d0-eb2e2b64fe96.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

SARS-CoV-2 genome dataset to accompany our publication: Emergence of novel SARS-CoV-2 variants in the Netherlands from Scientific Reports [1].


Complete, high quality (number of undetermined bases less than 1% of the whole sequence) genome sequences of SARS-COV-2 that were isolated from human hosts only were obtained from GISAID, NCBI and China’s National Genomics Data Center (NGDC) on June 13th 2020. The dataset contained 29,503 sequences with unique identifiers in total, including the Wuhan-Hu-1 reference sequence (accession ID NC_045512.2). The “Collection date” field was also extracted for all sequences, and it is referred to as “date” throughout our work.


The acknowledgement table for GISAID sequences can be found in Supplementary file 2 and the full list of sequence identifiers for NCBI and NGDC records are provided in Supplementary file 3 in the corresponding publication [1].


[1]: Urhan, A., Abeel, T. Emergence of novel SARS-CoV-2 variants in the Netherlands. Sci Rep 11, 6625 (2021). https://doi.org/10.1038/s41598-021-85363-7

History

  • 2025-04-07 first online, published, posted

Publisher

4TU.ResearchData

Format

fasta

Associated peer-reviewed publication

Emergence of novel SARS-CoV-2 variants in the Netherlands

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, The Delft Bioinformatics Lab

DATA

Files (4)