Evidence map›Paper›PMID 32843837›Full record

ReviewBioinformatics and biology insights2020

First Steps in the Analysis of Prokaryotic Pan-Genomes.

Sávio Souza Costa, Luís Carlos Guimarães, Artur Silva, Siomar Castro Soares, Rafael Azevedo Baraúna

Abstract readReview
In one paragraph

Review in Bioinformatics and biology insights, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Article
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  6. Comparative Genomics ofPathogens (Basel, Switzerland) · 2026
    Article
  7. Article
  8. Article
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  16. Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2025
    Review
  17. Article
  18. Article
  19. Beyond H37Rv:Frontiers in microbiology · 2025
    Review
  20. Article

5 more citing papers are in PubMed but not listed here.

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.

Sávio Souza CostaCentro de Genômica e Biologia de Sistemas, Universidade Federal do Pará, Belém, Brazil.
Luís Carlos GuimarãesCentro de Genômica e Biologia de Sistemas, Universidade Federal do Pará, Belém, Brazil.ORCID https://orcid.org/0000-0002-7147-9448
Artur SilvaCentro de Genômica e Biologia de Sistemas, Universidade Federal do Pará, Belém, Brazil.
Siomar Castro SoaresInstituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil.
Rafael Azevedo BaraúnaCentro de Genômica e Biologia de Sistemas, Universidade Federal do Pará, Belém, Brazil.ORCID https://orcid.org/0000-0001-6654-2118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pan-genome is defined as the set of orthologous and unique genes of a specific group of organisms. The pan-genome is composed by the core genome, accessory genome, and species- or strain-specific genes. The pan-genome is considered open or closed based on the alpha value of the Heap law. In an open pan-genome, the number of gene families will continuously increase with the addition of new genomes to the analysis, while in a closed pan-genome, the number of gene families will not increase considerably. The first step of a pan-genome analysis is the homogenization of genome annotation. The same software should be used to annotate genomes, such as GeneMark or RAST. Subsequently, several software are used to calculate the pan-genome such as BPGA, GET_HOMOLOGUES, PGAP, among others. This review presents all these initial steps for those who want to perform a pan-genome analysis, explaining key concepts of the area. Furthermore, we present the pan-genomic analysis of 9 bacterial species. These are the species with the highest number of genomes deposited in GenBank. We also show the influence of the identity and coverage parameters on the prediction of orthologous and paralogous genes. Finally, we cite the perspectives of several research areas where pan-genome analysis can be used to answer important issues.

Indexed as

accessory genomecore genomePan-genome

Identifiers

PMID32843837
PMCPMC7418249

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.