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SPREAD 4: online visualisation of pathogen phylogeographic reconstructions.
Nahata, Kanika D; Bielejec, Filip; Monetta, Juan; Dellicour, Simon; Rambaut, Andrew; Suchard, Marc A; Baele, Guy; Lemey, Philippe.
Afiliação
  • Nahata KD; Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Herestraat 49, Leuven 3000, Belgium.
  • Bielejec F; Nonce Filip Bielejec, Lódz Voivodeship, 90-245 Lodz, Poland.
  • Monetta J; Departamento de Montevideo, Guayabos 1924, Montevideo 11200, Uruguay.
  • Dellicour S; Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Herestraat 49, Leuven 3000, Belgium.
  • Rambaut A; Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, CP160/12, 50 av. FD Roosevelt, Bruxelles 1050, Belgium.
  • Suchard MA; Institute of Evolutionary Biology, University of Edinburgh, Kings Building, Charlotte Auerbach Road, Edinburgh EH9 3FL, UK.
  • Baele G; Department of Human Genetics, David Geffen School of Medicine, University of California, 10833 Le Conte Ave, Los Angeles, CA 90095, USA.
  • Lemey P; Department of Biostatistics, Jonathan and Karin Fielding School of Public Health, University of California, 650 Charles E Young Dr S, Los Angeles, CA 90095, USA.
Virus Evol ; 8(2): veac088, 2022.
Article em En | MEDLINE | ID: mdl-36325034
ABSTRACT
Phylogeographic analyses aim to extract information about pathogen spread from genomic data, and visualising spatio-temporal reconstructions is a key aspect of this process. Here we present SPREAD 4, a feature-rich web-based application that visualises estimates of pathogen dispersal resulting from Bayesian phylogeographic inference using BEAST on a geographic map, offering zoom-and-filter functionality and smooth animation over time. SPREAD 4 takes as input phylogenies with both discrete and continuous location annotation and offers customised visualisation as well as generation of publication-ready figures. SPREAD 4 now features account-based storage and easy sharing of visualisations by means of unique web addresses. SPREAD 4 is intuitive to use and is available online at https//spreadviz.org, with an accompanying web page containing answers to frequently asked questions at https//beast.community/spread4.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Virus Evol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Virus Evol Ano de publicação: 2022 Tipo de documento: Article