Evidence map›Paper›PMID 37474912›Full record

ArticleBMC bioinformatics2023

CamPype: an open-source workflow for automated bacterial whole-genome sequencing analysis focused on Campylobacter.

Irene Ortega-Sanz, José A Barbero-Aparicio, Antonio Canepa-Oneto, Jordi Rovira, Beatriz Melero

Abstract read
In one paragraph

Article in BMC bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. BacExplorer: an integrated platform forBioinformatics advances · 2025
    Article
  5. 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.

Irene Ortega-SanzDepartment of Biotechnology and Food Science, University of Burgos, 09006, Burgos, Spain.
José A Barbero-AparicioDepartment of Computer Science, University of Burgos, 09006, Burgos, Spain. jabarbero@ubu.es.
Antonio Canepa-OnetoDepartment of Computer Science, University of Burgos, 09006, Burgos, Spain.
Jordi RoviraDepartment of Biotechnology and Food Science, University of Burgos, 09006, Burgos, Spain.
Beatriz MeleroDepartment of Biotechnology and Food Science, University of Burgos, 09006, Burgos, Spain. bmelero@ubu.es.

Funding

"la Caixa" Foundation LCF/PR/PR18/51130007
6 · The paper itself

Abstract

backgroundThe rapid expansion of Whole-Genome Sequencing has revolutionized the fields of clinical and food microbiology. However, its implementation as a routine laboratory technique remains challenging due to the growth of data at a faster rate than can be effectively analyzed and critical gaps in bioinformatics knowledge.

resultsTo address both issues, CamPype was developed as a new bioinformatics workflow for the genomics analysis of sequencing data of bacteria, especially Campylobacter, which is the main cause of gastroenteritis worldwide making a negative impact on the economy of the public health systems. CamPype allows fully customization of stages to run and tools to use, including read quality control filtering, read contamination, reads extension and assembly, bacterial typing, genome annotation, searching for antibiotic resistance genes, virulence genes and plasmids, pangenome construction and identification of nucleotide variants. All results are processed and resumed in an interactive HTML report for best data visualization and interpretation.

conclusionsThe minimal user intervention of CamPype makes of this workflow an attractive resource for microbiology laboratories with no expertise in bioinformatics as a first line method for bacterial typing and epidemiological analyses, that would help to reduce the costs of disease outbreaks, or for comparative genomic analyses. CamPype is publicly available at https://github.com/JoseBarbero/CamPype .

Indexed as

CampylobacterBacteriaGenome, BacterialGenomicsWorkflowAntimicrobial resistance genesBacterial typingComparative genomicsGenome analysisGenome annotationPipelineVirulence genes

Identifiers

PMID37474912
PMCPMC10357626

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LicenceCC BY
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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.