Evaluating Seqstant LiveGene Analysis in real-time assessment of metagenomic next-generation sequencing (mNGS) data from respiratory samples
The detection of pathogens causing infections by conventional diagnostic methods can be challenging and next-generation sequencing (NGS) technology offers a promising alternative method. In this study, we evaluated the performance of real-time metagenomic next-generation sequencing (rt-mNGS) for the...
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| Hauptverfasser: | , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
11 November 2025
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| In: |
Infection
Year: 2026, Jahrgang: 54, Heft: 2, Pages: 707-715 |
| ISSN: | 1439-0973 |
| DOI: | 10.1007/s15010-025-02665-y |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s15010-025-02665-y Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s15010-025-02665-y?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot&getft_integrator=clarivate |
| Verfasserangaben: | Sébastien Boutin, Sabrina Klein, Gerold Untergasser, Tobias P. Loka, Suzan Jakob, Yasemin Caf, Elham Khatamzas, Ludwig Knabl, Georg Wrettos, Henri Knobloch, Dennis Nurjadi |
| Zusammenfassung: | The detection of pathogens causing infections by conventional diagnostic methods can be challenging and next-generation sequencing (NGS) technology offers a promising alternative method. In this study, we evaluated the performance of real-time metagenomic next-generation sequencing (rt-mNGS) for the detection of pathogens in respiratory samples. |
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| Beschreibung: | Gesehen am 13.03.2026 |
| Beschreibung: | Online Resource |
| ISSN: | 1439-0973 |
| DOI: | 10.1007/s15010-025-02665-y |