spread.gl: visualizing pathogen dispersal in a high-performance browser application

Source code, installation instructions, example input data, and outputs of spread.gl are accessible at https://github.com/GuyBaele/SpreadGL.

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Publication Details

Journal
Bioinformatics
Published
2024-11-27
DOI
https://doi.org/10.1093/bioinformatics/btae721
Citations
9
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
2.10
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article

spread.gl: visualizing pathogen dispersal in a high-performance browser application

Fabiana Gámbaro, Joon Klaps, Samuel L. Hong, Philippe Lemey et al.
9 citations
Bioinformatics
Genomics and Phylogenetic Studies
2.10
article

spread.gl: visualizing pathogen dispersal in a high-performance browser application

Fabiana Gámbaro, Joon Klaps, Samuel L. Hong, Philippe Lemey, Marc A. Suchard, Nena Bollen, Yimin Li, Guy Baele, Simon Dellicour, Marius Brusselmans, Andrew Rambaut
article en
9 citations

Abstract

Source code, installation instructions, example input data, and outputs of spread.gl are accessible at https://github.com/GuyBaele/SpreadGL.

BioinformaticsVol. 40(12)
Université Libre de Bruxelles (BE), University of California, Los Angeles (US), Rega Institute for Medical Research (BE), University of Edinburgh (GB), KU Leuven (BE)
Openalex Percentile: Top 12%
Genomics and Phylogenetic Studies
2.10
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spread.gl: visualizing pathogen dispersal in a high-performance browser application — Fabiana Gámbaro, Joon Klaps, et al. · Bioinformatics (2024) | TGRS Research Map | TGRS