Evidence map›Paper›PMID 37966168›Full record

ArticleMicrobial genomics2023

Introduction and benchmarking of pyMLST: open-source software for assessing bacterial clonality using core genome MLST.

Adrien Biguenet, Augustin Bordy, Alban Atchon, Didier Hocquet, Benoit Valot

Abstract read
In one paragraph

Article in Microbial genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  5. Clonal spread of Mycobacterium monacense strains among patients with extrapulmonary mycobacteriosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  6. Article
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  8. Frontiers in cellular and infection microbiology · 2026
    Article
  9. Article
  10. Article
  11. Genomic characterization ofApplied and environmental microbiology · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Plasmid diversity ofMicrobiology spectrum · 2025
    Article
  19. Article
  20. Genomic epidemiology of third-generation cephalosporin-resistantOne health (Amsterdam, Netherlands) · 2025
    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.

Adrien BiguenetCHU de Besançon, Hygiène Hospitalière, F-25030 Besançon, France.
Augustin BordyUniversité de Franche-Comté, CNRS, Chrono-environnement, F-25000 Besançon, France.
Alban AtchonBioinformatique et Big Data Au Service de La Santé, Université de Franche-Comté, F-25000 Besançon, France.
Didier HocquetCHU de Besançon, Hygiène Hospitalière, F-25030 Besançon, France.
Benoit ValotUniversité de Franche-Comté, CNRS, Chrono-environnement, F-25000 Besançon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Core genome multilocus sequence typing (cgMLST) has gained in popularity for bacterial typing since whole-genome sequencing (WGS) has become affordable. We introduce here pyMLST, a new complete, stand-alone, free and open source pipeline for cgMLST analysis. pyMLST can create or import a core genome database. For each gene, the first allele is aligned against the bacterial genome of interest using BLAT. Incomplete genes are aligned using MAFT. All data are stored in a SQLite database. pyMLST accepts assembly genomes or raw data (with the option pyMLST-KMA) as input. To evaluate our new tool, we selected three genome collections of major bacterial pathogens (

Indexed as

Genome, BacterialMolecular EpidemiologyMultilocus Sequence TypingSoftwarebacteriacgMLSTpyMLSTsoftwaretyping

Identifiers

PMID37966168
PMCPMC10711306

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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.