Evidence map›Paper›PMID 29765358›Full record

ArticleFrontiers in microbiology2018

GET_PHYLOMARKERS, a Software Package to Select Optimal Orthologous Clusters for Phylogenomics and Inferring Pan-Genome Phylogenies, Used for a Critical Geno-Taxonomic Revision of the Genus

Pablo Vinuesa, Luz E Ochoa-Sánchez, Bruno Contreras-Moreira

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing 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

85 citing papers in PubMed.

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  4. Integrated genomic analysis ofFrontiers in microbiology · 2026
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  5. Manganese homeostasis supportsCurrent research in microbial sciences · 2026
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  7. International journal of systematic and evolutionary microbiology · 2025
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  8. Article
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  10. International journal of systematic and evolutionary microbiology · 2025
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  11. Article
  12. Pangenome-Wide Association Study in theInternational journal of molecular sciences · 2024
    Article
  13. Description of two novelbioRxiv : the preprint server for biology · 2024
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  14. Metabolic capabilities are highly conserved among human nasal-associatedbioRxiv : the preprint server for biology · 2024
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  15. Article
  16. Article
  17. Article
  18. Refining the taxonomy of the orderInternational journal of systematic and evolutionary microbiology · 2024
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  19. Article
  20. Article

25 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

3 authors.

Pablo VinuesaCentro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Mexico.
Luz E Ochoa-SánchezCentro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Mexico.
Bruno Contreras-MoreiraEstación Experimental de Aula Dei - Consejo Superior de Investigaciones Científicas, Zaragoza, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The massive accumulation of genome-sequences in public databases promoted the proliferation of genome-level phylogenetic analyses in many areas of biological research. However, due to diverse evolutionary and genetic processes, many loci have undesirable properties for phylogenetic reconstruction. These, if undetected, can result in erroneous or biased estimates, particularly when estimating species trees from concatenated datasets. To deal with these problems, we developed GET_PHYLOMARKERS, a pipeline designed to identify high-quality markers to estimate robust genome phylogenies from the orthologous clusters, or the pan-genome matrix (PGM), computed by GET_HOMOLOGUES. In the first context, a set of sequential filters are applied to exclude recombinant alignments and those producing anomalous or poorly resolved trees. Multiple sequence alignments and maximum likelihood (ML) phylogenies are computed in parallel on multi-core computers. A ML species tree is estimated from the concatenated set of top-ranking alignments at the DNA or protein levels, using either FastTree or IQ-TREE (IQT). The latter is used by default due to its superior performance revealed in an extensive benchmark analysis. In addition, parsimony and ML phylogenies can be estimated from the PGM. We demonstrate the practical utility of the software by analyzing 170

Indexed as

genome-phylogenymaximum-likelihoodMexicophylogeneticsspecies delimitationspecies-treeStenotrophomonas maltophilia complex

Identifiers

PMID29765358
PMCPMC5938378

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Registered trials

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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.