Evidence map›Paper›PMID 39780046›Full record

ArticleBMC genomics2025

Galaxy @Sciensano: a comprehensive bioinformatics portal for genomics-based microbial typing, characterization, and outbreak detection.

Bert Bogaerts, Julien Van Braekel, Alexander Van Uffelen, Jolien D'aes, Maxime Godfroid, Thomas Delcourt, Michael Kelchtermans, Kato Milis, Nathalie Goeders, Sigrid C J De Keersmaecker and 3 more

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Microbiology spectrum · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Whole genome sequencing ofMicrobiology resource announcements · 2025
    Article
  10. 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

13 authors.

Bert Bogaerts *Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Julien Van Braekel *Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Alexander Van UffelenTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Jolien D'aesTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Maxime GodfroidTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Thomas DelcourtTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Michael KelchtermansTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Kato MilisTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Nathalie GoedersTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Sigrid C J De KeersmaeckerTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Nancy H C RoosensTransversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Raf Winand *Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Kevin Vanneste *Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium. kevin.vanneste@sciensano.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influx of whole genome sequencing (WGS) data in the public health and clinical diagnostic sectors has created a need for data analysis methods and bioinformatics expertise, which can be a bottleneck for many laboratories. At Sciensano, the Belgian national public health institute, an intuitive and user-friendly bioinformatics tool portal was implemented using Galaxy, an open-source platform for data analysis and workflow creation. The Galaxy @Sciensano instance is available to both internal and external scientists and offers a wide range of tools provided by the community, complemented by over 50 custom tools and pipelines developed in-house. The tool selection is currently focused primarily on the analysis of WGS data generated using Illumina sequencing for microbial pathogen typing, characterization and outbreak detection, but it also addresses specific use cases for other data types. Our Galaxy instance includes several custom-developed 'push-button' pipelines, which are user-friendly and intuitive stand-alone tools that perform complete characterization of bacterial isolates based on WGS data and generate interactive HTML output reports with key findings. These pipelines include quality control, de novo assembly, sequence typing, antimicrobial resistance prediction and several relevant species-specific assays. They are tailored for pathogens with active genomic surveillance programs, and clinical relevance, such as Escherichia coli, Listeria monocytogenes, Salmonella spp. and Mycobacterium tuberculosis. These tools and pipelines utilize internationally recognized databases such as PubMLST, EnteroBase, and the NCBI National Database of Antibiotic Resistant Organisms, which are automatically synchronized on a regular basis to ensure up-to-date results. Many of these pipelines are part of the routine activities of Belgian national reference centers and laboratories, some of which use them under ISO accreditation. This resource is publicly available for noncommercial use at https://galaxy.sciensano.be/ and can help other laboratories establish reliable, traceable and reproducible bioinformatics analyses for pathogens encountered in public health settings.

Indexed as

Computational BiologyDisease OutbreaksGenomicsSoftwareGenome, BacterialHumansWhole Genome SequencingGalaxyGenomic surveillancePublic healthWhole genome sequencing

Identifiers

PMID39780046
PMCPMC11715294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.