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Nextstrain: real-time tracking of pathogen evolution

Hadfield, James and Megill, Colin and Bell, Sidney M. and Huddleston, John and Potter, Barney and Callender, Charlton and Sagulenko, Pavel and Bedford, Trevor and Neher, Richard A.. (2018) Nextstrain: real-time tracking of pathogen evolution. Bioinformatics, 34 (23). pp. 4121-4123.

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Official URL: https://edoc.unibas.ch/65361/

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Abstract

Understanding the spread and evolution of pathogens is important for effective public health measures and surveillance. Nextstrain consists of a database of viral genomes, a bioinformatics pipeline for phylodynamics analysis, and an interactive visualisation platform. Together these present a real-time view into the evolution and spread of a range of viral pathogens of high public health importance. The visualization integrates sequence data with other data types such as geographic information, serology, or host species. Nextstrain compiles our current understanding into a single accessible location, open to health professionals, epidemiologists, virologists and the public alike.; All code (predominantly JavaScript and Python) is freely available from github.com/nextstrain and the web-application is available at nextstrain.org.; jhadfiel@fredhutch.org, tbedford@fredhutch.org, richard.neher@unibas.ch.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Computational Modeling of Biological Processes (Neher)
UniBasel Contributors:Neher, Richard A
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Oxford University Press
ISSN:1367-4803
e-ISSN:1367-4811
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:04 Nov 2019 14:55
Deposited On:12 Sep 2019 14:12

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