Evidence map›Paper›PMID 41734272›Full record

ArticleBioinformatics (Oxford, England)2026

SERAPHIM 2.0: an extended toolbox for studying phylogenetically informed movements.

Simon Dellicour, Nuno R Faria, Rebecca Rose, Philippe Lemey, Oliver G Pybus

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Simon DellicourSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), Brussels 1050, Belgium.ORCID 0000-0001-9558-1052
Nuno R FariaMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W12 0BZ, United Kingdom.
Rebecca RoseBioInfoExperts LLC, Sid Martin Biotech, University of Florida, Alachua, FL 32615, United States.
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven 3000, Belgium.ORCID 0000-0003-2826-5353
Oliver G PybusDepartment of Biology, University of Oxford, Oxford OX1 3RB, United Kingdom.

Funding

Belgian Science Policy OfficeUniversity of Brussels
6 · The paper itself

Abstract

summaryWe report the second version of the R package "seraphim", a toolbox developed to process and analyze the output of spatially explicit phylogeographic reconstructions. This approach - also known as continuous phylogeographic inference - is commonly used in molecular epidemiology to reconstruct the dispersal history and spatiotemporal dynamics of rapidly evolving pathogens. The "seraphim" package now implements a broad range of features including (i) visualization of phylogeographic inferences, (ii) estimation of lineage dispersal metrics, (iii) several phylogeographic simulators, and (iv) hypothesis testing procedures to investigate the impact of environmental factors on variables such as diffusion velocity, dispersal location, and dispersal frequency of phylogenetic lineages. AVAILABILITY AND IMPLEMENTATION: The package is openly available (https://github.com/sdellicour/seraphim) along with a series of tutorials describing the different analytical procedures it implements.

Indexed as

Computational BiologyPhylogenySoftwarePhylogeography

Identifiers

PMID41734272
PMCPMC13012800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.