ArticleBMC bioinformatics2023
CamPype: an open-source workflow for automated bacterial whole-genome sequencing analysis focused on Campylobacter.
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.
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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.
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Who cites it
5 citing papers in PubMed.
- A WGS workflow for identifying genetically modified and foodborne-pathogenicFood chemistry. Molecular sciences · 2026Article
- Genome Analysis of the Multidrug-ResistantMicroorganisms · 2025Article
- Solu: a cloud platform for real-time genomic pathogen surveillance.BMC bioinformatics · 2025Article
- BacExplorer: an integrated platform forBioinformatics advances · 2025Article
- Role of microplastics in the survival and antimicrobial susceptibility ofFrontiers in microbiology · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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 .
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Registered trials
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