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      Is Open Access

      Nextstrain: real-time tracking of pathogen evolution

      brief-report

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          Abstract

          Summary

          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 visualization 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.

          Availability and implementation

          All code (predominantly JavaScript and Python) is freely available from github.com/nextstrain and the web-application is available at nextstrain.org.

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          Most cited references4

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          Epidemiology of Human Infections with Avian Influenza A(H7N9) Virus in China

          New England Journal of Medicine, 370(6), 520-532
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            The application of genomics to tracing bacterial pathogen transmission.

            New sequencing technologies have made it possible to generate bacterial genomes at clinically relevant timescales and price levels. The use of whole-genome sequencing (WGS) has proved useful for investigating transmission at different scales. WGS data are highly effective at determining whether individuals are part of the same transmission chain, making it possible to detect probable direct transmission events, delimit the extent of local nosocomial or community-based outbreaks, and identify worldwide patterns of spread and long-term dynamics of bacterial pathogens. Making the most of WGS data will probably always require associated detailed epidemiological data, but nevertheless it promises to become an increasingly valuable tool for infection control in the near future.
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              Evolutionary epidemiology: preparing for an age of genomic plenty.

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                Author and article information

                Contributors
                Role: Associate Editor
                Journal
                Bioinformatics
                Bioinformatics
                bioinformatics
                Bioinformatics
                Oxford University Press
                1367-4803
                1367-4811
                01 December 2018
                22 May 2018
                22 May 2018
                : 34
                : 23
                : 4121-4123
                Affiliations
                [1 ]Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
                [2 ]Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
                [3 ]Max Planck Institute for Developmental Biology, Tübingen, Germany
                [4 ]Biozentrum, University of Basel, Basel, Switzerland
                [5 ]SIB Swiss Institute of Bioinformatics, Basel, Switzerland
                Author notes

                The authors wish it to be known that, in their opinion, the Trevor Bedford and Richard A. Neher authors should be regarded as Joint last Authors.

                To whom correspondence should be addressed. E-mail: jhadfiel@ 123456fredhutch.org
                Article
                bty407
                10.1093/bioinformatics/bty407
                6247931
                29790939
                1654bb2b-2ac4-4beb-b799-fe0a872fc2e2
                © The Author(s) 2018. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 11 October 2017
                : 20 April 2018
                : 16 May 2018
                Page count
                Pages: 3
                Funding
                Funded by: Open Science Prize
                Funded by: NSF 10.13039/100000001
                Award ID: DGE-1256082
                Funded by: SMB 10.13039/100011211
                Funded by: ERC 10.13039/100010663
                Award ID: StG-260686
                Funded by: RAN
                Funded by: NIH 10.13039/100000002
                Award ID: R35 GM119774-01
                Funded by: Pew Biomedical Scholar
                Categories
                Applications Notes
                Phylogenetics

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

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