Abstract
Objectives The comprehension of the microbial composition in upper respiratory tract infections is pivotal for the progression of diagnostic and treatment methodologies. This article presents a dataset derived from Precision Metagenomic next-generation sequencing using hybridization capture-based targeted sequencing. Nasopharyngeal samples from 24 patients with acute URIs were analyzed using the Illumina®/IDbyDNA Respiratory Pathogen ID/ AMR panel. The dataset contains a wealth of information on the composition of the microbiota, including the relative abundance of known pathogens and their potential clinical significance. Data description This dataset serves as a valuable asset for future research in respiratory medicine, infectious disease epidemiology, antimicrobial resistance detection, and therapeutic interventions. Its potential for reuse and integration with other omics datasets enhances its significance. The comprehensive nature of the data facilitates research into relationships between the respiratory microbiota and host factors, including clinical outcomes, immune responses, or genetic predispositions. Moreover, the article underscores the interdisciplinary potential by advocating for the integration of this dataset with other relevant datasets such as transcriptomics or metabolomics, enabling a deeper understanding of the intricate interactions in acute upper respiratory infections. The presented dataset contributes to the expanding knowledge in precision metagenomics and holds the promise to propel research and clinical practices in the field of respiratory diseases.
Description
© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Publisher
BMC
Date of publication
2026
Language
english
Persistent identifier
http://hdl.handle.net/10950/5076
Document Type
Article
Recommended Citation
Almas, S., Carpenter, R. E., Tamrakar, V. K., Singh, A., Sharma, A., & Sharma, R. (2026). Precision metagenomics reveals microbial landscape in acute upper respiratory infections: A comprehensive dataset. BMC Research Notes, 19, 18. https://doi.org/10.1186/s13104-025-07519-2
Publisher Citation
Almas S, Carpenter RE, Tamrakar VK, Singh A, Sharma A, Sharma R. Precision metagenomics reveals microbial landscape in acute upper respiratory infections: a comprehensive dataset. BMC Res Notes. 2026;19:18. doi:10.1186/s13104-025-07519-2.