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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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Main Authors: Boutin, Sébastien (Author) , Klein, Sabrina (Author) , Untergasser, Gerold (Author) , Loka, Tobias P. (Author) , Jakob, Suzan (Author) , Caf, Yasemin (Author) , Khatamzas, Elham (Author) , Knabl, Ludwig (Author) , Wrettos, Georg (Author) , Knobloch, Henri (Author) , Nurjadi, Dennis (Author)
Format: Article (Journal)
Language:English
Published: 11 November 2025
In: Infection
Year: 2025, Pages: [1-9]
ISSN:1439-0973
DOI:10.1007/s15010-025-02665-y
Online Access: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
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Author Notes:Sébastien Boutin, Sabrina Klein, Gerold Untergasser, Tobias P. Loka, Suzan Jakob, Yasemin Caf, Elham Khatamzas, Ludwig Knabl, Georg Wrettos, Henri Knobloch, Dennis Nurjadi
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Summary: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.
Item Description:Gesehen am 13.03.2026
Physical Description:Online Resource
ISSN:1439-0973
DOI:10.1007/s15010-025-02665-y

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