Nextstrain automates real-time phylogenetic analysis of open data for endemic and emerging pathogens

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Authors: Kimberly R. Andrews, Jennifer Chang, Cornelius Roemer, James N. Hadfield, Victor Lin, Anderson Fernandes Brito, Richard Olumide Daodu, I. A. Joia, Kathryn E. Kistler, Allison W Li, Louise H. Moncla, Miguel I. Paredes
+12 more Denise Kühnert, Laura Marcela Torres, Laura Voitl, Ivan Aksamentov, Emma B. Hodcroft, John Huddleston, John T. McCrone, John SJ Anderson, Thomas R. Sibley, Jover Lee, Richard A. Neher, Trevor Bedford
Cited by: 1

Abstract

Motivation: Genome sequencing provides an exceptional window into the evolutionary and epidemiological dynamics of endemic and emerging pathogens, and thus allows for better, more targeted, public health interventions. Online genomic surveillance platforms can provide near real-time insight into these dynamics. Results: , with most analyses relying solely on open sequence data. Each pathogen includes steps to fetch and curate open data, classify sequences using established nomenclature systems, perform phylodynamic analyses, and share the results publicly. These analyses are automated, with most running daily to provide continually updated snapshots of pathogen evolution. Availability and Implementation: All source code is available at https://github.com/nextstrain. Phylodynamic results can be visualized and downloaded at https://nextstrain.org/pathogens, and open sequence data and curated metadata are available at https://nextstrain.org/pathogens/files.

Fields of Study & Subjects

Tuberculosis Research and Epidemiology Genomics and Phylogenetic Studies Mycobacterium research and diagnosis

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
26 March 2026
Language
EN
Document type
Preprint