Exploring the Complexity of the Human Respiratory Virome through an In Silico Analysis of Shotgun Metagenomic Data Retrieved from Public Repositories.
Talya ConradieJose A Caparros-MartinSiobhon L EganAnthony KicicSulev KoksStephen M StickPatricia Agudelo-RomeroPublished in: Viruses (2024)
By leveraging publicly available repositories of shotgun metagenomic data, the present study provides new insights into viral genomes associated with specimens from the human respiratory tract across different disease spectra. Further studies are required to validate our findings and evaluate the potential impact of these viral communities on respiratory tract physiology.
Keyphrases
- climate change
- respiratory tract
- endothelial cells
- sars cov
- electronic health record
- induced pluripotent stem cells
- big data
- healthcare
- pluripotent stem cells
- antibiotic resistance genes
- mental health
- machine learning
- emergency department
- microbial community
- density functional theory
- wastewater treatment
- deep learning
- molecular dynamics