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Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition

Authors :
Jover Lee
James Hadfield
Allison Black
Thomas R. Sibley
Richard A. Neher
Trevor Bedford
John Huddleston
Source :
Frontiers in Bioinformatics, Vol 3 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

Seasonal influenza vaccines must be updated regularly to account for mutations that allow influenza viruses to escape our existing immunity. A successful vaccine should represent the genetic diversity of recently circulating viruses and induce antibodies that effectively prevent infection by those recent viruses. Thus, linking the genetic composition of circulating viruses and the serological experimental results measuring antibody efficacy is crucial to the vaccine design decision. Historically, genetic and serological data have been presented separately in the form of static visualizations of phylogenetic trees and tabular serological results to identify vaccine candidates. To simplify this decision-making process, we have created an interactive tool for visualizing serological data that has been integrated into Nextstrain’s real-time phylogenetic visualization framework, Auspice. We show how the combined interactive visualizations may be used by decision makers to explore the relationships between complex data sets for both prospective vaccine virus selection and retrospectively exploring the performance of vaccine viruses.

Details

Language :
English
ISSN :
26737647
Volume :
3
Database :
Directory of Open Access Journals
Journal :
Frontiers in Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.9ca51cf8c6e04b24895a9307c919c7c4
Document Type :
article
Full Text :
https://doi.org/10.3389/fbinf.2023.1069487