Evidence map›Paper›PMID 36209064›Full record

ArticleBMC bioinformatics2022

A graph-based approach for the visualisation and analysis of bacterial pangenomes.

Joshua D Harling-Lee, Jamie Gorzynski, Gonzalo Yebra, Tim Angus, J Ross Fitzgerald, Tom C Freeman

Abstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Pangenome-GWAS analysis ofCanadian journal of microbiology · 2026
    Article
  6. Article
  7. Article
  8. bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. A gentle introduction to pangenomics.Briefings in bioinformatics · 2024
    Review
  11. Contingency, repeatability, and predictability in the evolution of a prokaryotic pangenome.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Article
  13. Article
  14. Multiclonal human origin and global expansion of an endemic bacterial pathogen of livestock.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

6 authors.

Joshua D Harling-LeeThe Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Campus, Edinburgh, EH25 9RG, UK. j.d.harling-lee@roslin.ed.ac.uk.ORCID http://orcid.org/0000-0003-1568-8250
Jamie GorzynskiThe Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Campus, Edinburgh, EH25 9RG, UK.ORCID http://orcid.org/0000-0002-4921-9789
Gonzalo YebraThe Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Campus, Edinburgh, EH25 9RG, UK.ORCID http://orcid.org/0000-0002-3472-3667
Tim AngusRoslin Innovation Centre, Easter Bush Campus, Edinburgh, EH25 9RG, UK.ORCID http://orcid.org/0000-0003-1736-9456
J Ross FitzgeraldThe Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Campus, Edinburgh, EH25 9RG, UK.ORCID http://orcid.org/0000-0002-9233-8468
Tom C FreemanThe Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Campus, Edinburgh, EH25 9RG, UK. tfreema6@its.jnj.com.ORCID http://orcid.org/0000-0001-5235-8483

Funding

Biotechnology and Biological Sciences Research Council BB/P013732/1Biotechnology and Biological Sciences Research Council BB/PO13740/1Chief Scientist Office ETM/421Wellcome TrustWellcome Trust 201531/Z/16/Z
6 · The paper itself

Abstract

backgroundThe advent of low cost, high throughput DNA sequencing has led to the availability of thousands of complete genome sequences for a wide variety of bacterial species. Examining and interpreting genetic variation on this scale represents a significant challenge to existing methods of data analysis and visualisation.

resultsStarting with the output of standard pangenome analysis tools, we describe the generation and analysis of interactive, 3D network graphs to explore the structure of bacterial populations, the distribution of genes across a population, and the syntenic order in which those genes occur, in the new open-source network analysis platform, Graphia. Both the analysis and the visualisation are scalable to datasets of thousands of genome sequences.

conclusionsWe anticipate that the approaches presented here will be of great utility to the microbial research community, allowing faster, more intuitive, and flexible interaction with pangenome datasets, thereby enhancing interpretation of these complex data.

Indexed as

Genome, BacterialHigh-Throughput Nucleotide SequencingBacteriaSequence Analysis, DNAAccessory genesBacteriaData visualisationNetwork graphsPangenome

Identifiers

PMID36209064
PMCPMC9548110

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.