Precision Metagenomic Next-Generation Sequencing Data of Respiratory Infection DOI Open Access
Sadia Almas, Rob E. Carpenter, Vaibhav K. Tamrakar

et al.

Published: Oct. 3, 2023

Understanding microbial composition in upper respiratory infections (URIs) is critical for effective diagnosis and treatment. Precision Metagenomic next-generation sequencing p(mNGS) can provide a comprehensive yet clinically relevant profile of infection. The hybridization capture-based targeted generated precision metagenomics 29 patients with acute URIs. Nasopharyngeal samples were collected from the subjects suspected infection, was performed using Illumina®/IDbyDNA Respiratory Pathogen ID/AMR Panel (RPIP). dataset obtained mNGS analysis contains wealth information on URI microbiota, including relative abundance known pathogens potential clinical implications. represents valuable resource future research endeavors medicine, infectious disease epidemiology, therapeutic interventions. In addition, offers significant reuse integration other omics datasets. nature data allows exploration associations between microbiota host factors such as outcomes, immune responses, or genetic predisposition. Combining this datasets, transcriptomics metabolomics, could deeper understanding complex interactions

Language: Английский

Precision Metagenomic Next-Generation Sequencing Data of Respiratory Infection DOI Open Access
Sadia Almas, Rob E. Carpenter, Vaibhav K. Tamrakar

et al.

Published: Oct. 3, 2023

Understanding microbial composition in upper respiratory infections (URIs) is critical for effective diagnosis and treatment. Precision Metagenomic next-generation sequencing p(mNGS) can provide a comprehensive yet clinically relevant profile of infection. The hybridization capture-based targeted generated precision metagenomics 29 patients with acute URIs. Nasopharyngeal samples were collected from the subjects suspected infection, was performed using Illumina®/IDbyDNA Respiratory Pathogen ID/AMR Panel (RPIP). dataset obtained mNGS analysis contains wealth information on URI microbiota, including relative abundance known pathogens potential clinical implications. represents valuable resource future research endeavors medicine, infectious disease epidemiology, therapeutic interventions. In addition, offers significant reuse integration other omics datasets. nature data allows exploration associations between microbiota host factors such as outcomes, immune responses, or genetic predisposition. Combining this datasets, transcriptomics metabolomics, could deeper understanding complex interactions

Language: Английский

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