SARS-CoV-2 HaploGraph: visualization of SARS-CoV-2 haplotype spread in Japan.
COVID-19
SARS-CoV-2
genomic surveillance
haplotype
web visualization
Journal
Genes & genetic systems
ISSN: 1880-5779
Titre abrégé: Genes Genet Syst
Pays: Japan
ID NLM: 9607822
Informations de publication
Date de publication:
21 Nov 2023
21 Nov 2023
Historique:
medline:
23
11
2023
pubmed:
16
10
2023
entrez:
15
10
2023
Statut:
ppublish
Résumé
Since the early phase of the coronavirus disease 2019 (COVID-19) pandemic, a number of research institutes have been sequencing and sharing high-quality severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes to trace the route of infection in Japan. To provide insight into the spread of COVID-19, we developed a web platform named SARS-CoV-2 HaploGraph to visualize the emergence timing and geographical transmission of SARS-CoV-2 haplotypes. Using data from the GISAID EpiCoV database as of June 4, 2022, we created a haplotype naming system by determining the ancestral haplotype for each epidemic wave and showed prefecture- or region-specific haplotypes in each of four waves in Japan. The SARS-CoV-2 HaploGraph allows for interactive tracking of virus evolution and of geographical prevalence of haplotypes, and aids in developing effective public health control strategies during the global pandemic. The code and the data used for this study are publicly available at: https://github.com/ktym/covid19/.
Identifiants
pubmed: 37839865
doi: 10.1266/ggs.23-00085
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM