Evidence map›Paper›PMID 32100706›Full record

ArticleMicrobial genomics2020

Coinfinder: detecting significant associations and dissociations in pangenomes.

Fiona Jane Whelan, Martin Rusilowicz, James Oscar McInerney

Abstract read
In one paragraph

Article in Microbial genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. PanForest: predicting genes in genomes using random forests.Bioinformatics (Oxford, England) · 2026
    Article
  8. Genomics of Irish swine-derivedMicrobial genomics · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. TheeLife · 2025
    Article
  15. A phylogenetic approach to comparative genomics.Nature reviews. Genetics · 2025
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

3 authors.

Fiona Jane WhelanSchool of Life Sciences, The University of Nottingham, Nottingham, UK.
Martin RusilowiczFaculty of Biology, Medicine & Health, The University of Manchester, Manchester, UK.
James Oscar McInerneySchool of Life Sciences, The University of Nottingham, Nottingham, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/N018044/1
6 · The paper itself

Abstract

The accessory genes of prokaryote and eukaryote pangenomes accumulate by horizontal gene transfer, differential gene loss, and the effects of selection and drift. We have developed Coinfinder, a software program that assesses whether sets of homologous genes (gene families) in pangenomes associate or dissociate with each other (i.e. are 'coincident') more often than would be expected by chance. Coinfinder employs a user-supplied phylogenetic tree in order to assess the lineage-dependence (i.e. the phylogenetic distribution) of each accessory gene, allowing Coinfinder to focus on coincident gene pairs whose joint presence is not simply because they happened to appear in the same clade, but rather that they tend to appear together more often than expected across the phylogeny. Coinfinder is implemented in C++, Python3 and R and is freely available under the GNU license from https://github.com/fwhelan/coinfinder.

Indexed as

GenomeSoftwareComputational BiologyPhylogenyStreptococcus pneumoniaegene association networksgene co-occurrencepangenome

Identifiers

PMID32100706
PMCPMC7200068

What OpenQuestion holds

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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.