Bioinformatic challenges in metagenomic next generation sequencing data analysis while unravelling a case of uncommon campylobacteriosis

This study shows the pivotal role and strengths of mNGS in unravelling an unusual case of diarrhoea and demonstrates how mNGS can guide established microbiological methods to improve on current limitations. However, it also emphasises the need for careful interpretation of sequencing data, particularly for closely related bacterial species from clinical samples that are known to support complex microbial communities.

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Publication Details

Journal
Journal of Biomedical Informatics
Published
2025-05-02
DOI
https://doi.org/10.1016/j.jbi.2025.104841
Citations
1
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
Field-Weighted Citation Impact
1.16

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article

Bioinformatic challenges in metagenomic next generation sequencing data analysis while unravelling a case of uncommon campylobacteriosis

Mateja Pirš, Tina Triglav, Andraž Celar Šturm, Martin Bosilj et al.
1 citations
Journal of Biomedical Informatics
Salmonella and Campylobacter epidemiology
1.16
article

Bioinformatic challenges in metagenomic next generation sequencing data analysis while unravelling a case of uncommon campylobacteriosis

Mateja Pirš, Tina Triglav, Andraž Celar Šturm, Martin Bosilj, Katja Strašek Smrdel, Miša Korva, Rok Kogoj, Eva Kvas, Lidija Lepen
article en
1 citations

Abstract

This study shows the pivotal role and strengths of mNGS in unravelling an unusual case of diarrhoea and demonstrates how mNGS can guide established microbiological methods to improve on current limitations. However, it also emphasises the need for careful interpretation of sequencing data, particularly for closely related bacterial species from clinical samples that are known to support complex microbial communities.

Journal of Biomedical InformaticsVol. 166
University of Ljubljana (SI), Ljubljana University Medical Centre (SI), Institute of Oncology Ljubljana (SI)
Javna Agencija za Raziskovalno Dejavnost RS
Zero hunger
Openalex Percentile: Top 22%
Salmonella and Campylobacter epidemiology
1.16
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Bioinformatic challenges in metagenomic next generation sequencing data analysis while unravelling a case of uncommon campylobacteriosis — Mateja Pirš, Tina Triglav, et al. · Journal of Biomedical Informatics (2025) | TGRS Research Map | TGRS