Harika Ürel

Nanopore metagenomic sequencing links clinically relevant resistance determinants to pathogens

Harika Ürel, Ela Sauerborn, Michael Biggel, Friedemann Gebhardt et autres

Abstract Culture-independent metagenomics enables the detection of plasmid-encoded antimicrobial resistance (AMR) genes directly from clinical samples; however, the clinical significance of these genes depends on their bacterial host and genomic context, which metagenomics cannot fully infer. Nanopore sequencing technology intrinsically encodes epigenetic …

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Nanopore- and AI-empowered microbial viability inference

Harika Ürel, Sabrina Benassou, Hanna Marti, Tim Reska et autres

BACKGROUND: The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial for various microbial inferences, ranging from assessing ecosystem functions of environmental microbiomes to inferring the virulence of potential pathogens from metagenomic analysis. Established viability-resolved genomic approaches are …

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Nanopore- and AI-empowered microbial viability inference

Harika Ürel, Sabrina Benassou, Hanna Marti, Tim Reska et autres

Background The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial for various microbial inferences, ranging from assessing ecosystem functions of environmental microbiomes to inferring the virulence of potential pathogens from metagenomic analysis. Established viability-resolved genomic approaches are …

de (code pays fourni par la source)

Nanopore- and AI-empowered microbial viability inference

Harika Ürel, Sabrina Benassou, Hanna Marti, Tim Reska et autres

Background: The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial for various microbial inferences, ranging from assessing ecosystem functions of environmental microbiomes to inferring the virulence of potential pathogens from metagenomic analysis. Established viability-resolved genomic approaches are …

Nanopore- and AI-empowered microbial viability inference

Harika Ürel, Sabrina Benassou, Hanna Marti, Tim Reska et autres

Background: The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial for various microbial inferences, ranging from assessing ecosystem functions of environmental microbiomes to inferring the virulence of potential pathogens from metagenomic analysis. Established viability-resolved genomic approaches are …

Nanopore- and AI-empowered microbial viability inference

Harika Ürel, Sabrina Benassou, Hanna Marti, Tim Reska et autres

Abstract The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial for various microbial inferences, ranging from assessing ecosystem functions of environmental microbiomes to inferring the virulence of potential pathogens from metagenomic analysis. While established viability-resolved genomic approaches …

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Real‐time genomics for One Health

Lara Urban, Albert Perlas, Olga Francino, Joan Martí‐Carreras et autres

The ongoing degradation of natural systems and other environmental changes has put our society at a crossroad with respect to our future relationship with our planet. While the concept of One Health describes how human health is inextricably linked with environmental health, …

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