ReviewFrontiers in public health2019
Advances in Visualization Tools for Phylogenomic and Phylodynamic Studies of Viral Diseases.
Review in Frontiers in public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Pruning the Tree: Comparing OTUs and ASVs in High-Throughput Sequencing of 5S-IGS Nuclear Ribosomal DNA in Phylogenetic Studies.Ecology and evolution · 2025Article
- PhyloScape: interactive and scalable visualization platform for phylogenetic trees.BMC bioinformatics · 2025Article
- Scalable method for exploring phylogenetic placement uncertainty with custom visualizations usingiMeta · 2025Article
- Bioinformatics Goes Viral: I. Databases, Phylogenetics and Phylodynamics Tools for Boosting Virus Research.Viruses · 2024Review
- EvoLaps 2: Advanced phylogeographic visualization.Virus evolution · 2024Article
- COVID-19 Variant Surveillance and Social Determinants in Central Massachusetts: Development Study.JMIR formative research · 2022Article
- SPREAD 4: online visualisation of pathogen phylogeographic reconstructions.Virus evolution · 2022Article
- EvoLaps: a web interface to visualize continuous phylogeographic reconstructions.BMC bioinformatics · 2021Article
- Gotree/Goalign: toolkit and Go API to facilitate the development of phylogenetic workflows.NAR genomics and bioinformatics · 2021Article
- Development of a Dissemination Platform for Spatiotemporal and Phylogenetic Analysis of Avian Infectious Bronchitis Virus.Frontiers in veterinary science · 2021Article
- A Visual Approach for the SARS (Severe Acute Respiratory Syndrome) Outbreak Data Analysis.International journal of environmental research and public health · 2020Article
- Comparative genomic analysis of the principalPeerJ · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Genomic and epidemiological monitoring have become an integral part of our response to emerging and ongoing epidemics of viral infectious diseases. Advances in high-throughput sequencing, including portable genomic sequencing at reduced costs and turnaround time, are paralleled by continuing developments in methodology to infer evolutionary histories (dynamics/patterns) and to identify factors driving viral spread in space and time. The traditionally static nature of visualizing phylogenetic trees that represent these evolutionary relationships/processes has also evolved, albeit perhaps at a slower rate. Advanced visualization tools with increased resolution assist in drawing conclusions from phylogenetic estimates and may even have potential to better inform public health and treatment decisions, but the design (and choice of what analyses are shown) is hindered by the complexity of information embedded within current phylogenetic models and the integration of available meta-data. In this review, we discuss visualization challenges for the interpretation and exploration of reconstructed histories of viral epidemics that arose from increasing volumes of sequence data and the wealth of additional data layers that can be integrated. We focus on solutions that address joint temporal and spatial visualization but also consider what the future may bring in terms of visualization and how this may become of value for the coming era of real-time digital pathogen surveillance, where actionable results and adequate intervention strategies need to be obtained within days.
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What OpenQuestion holds
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.