ArticleBioinformatics (Oxford, England)2024
spread.gl: visualizing pathogen dispersal in a high-performance browser application.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Emergence of African Swine Fever in Sri Lanka, 2024.Viruses · 2026Article
- Transboundary Spread and Ecological Drivers of HPAI H5N1 Clade 2.3.4.4b During the 2022-2023 Outbreak in Chile: An Integrated Genomic and Spatial Epidemiology Framework.Transboundary and emerging diseases · 2026Article
- Navigating Sampling Bias in Discrete Phylogeographic Analysis: Assessing the Performance of an Adjusted Bayes Factor.Molecular biology and evolution · 2025Article
- BEAST X for Bayesian phylogenetic, phylogeographic and phylodynamic inference.Nature methods · 2025Article
- Origin, evolution, dispersal and global population genetic structure ofFrontiers in plant science · 2025Article
- Global distribution, evolutionary dynamics, and origins of wheat streak mosaic virus.Frontiers in plant science · 2025Article
- Unravelling dengue serotype 3 transmission in Brazil: evidence for multiple introductions of the 3III_B.3.2 lineage.Virus evolution · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
motivationBayesian phylogeographic analyses are pivotal in reconstructing the spatio-temporal dispersal histories of pathogens. However, interpreting the complex outcomes of phylogeographic reconstructions requires sophisticated visualization tools.
resultsTo meet this challenge, we developed spread.gl, an open-source, feature-rich browser application offering a smooth and intuitive visualization tool for both discrete and continuous phylogeographic inferences, including the animation of pathogen geographic dispersal through time. Spread.gl can render and combine the visualization of multiple layers that contain information extracted from the input phylogeny and diverse environmental data layers, enabling researchers to explore which environmental factors may have impacted pathogen dispersal patterns before conducting formal testing. We showcase the visualization features of spread.gl with representative examples, including the smooth animation of a phylogeographic reconstruction based on >17 000 SARS-CoV-2 genomic sequences. AVAILABILITY AND IMPLEMENTATION: Source code, installation instructions, example input data, and outputs of spread.gl are accessible at https://github.com/GuyBaele/SpreadGL.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.