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ABSTRACT: Background
Pathogenic microorganisms can cause infections, allergies, diarrhoea, tumours, other diseases, and even death. Therefore, the detection of pathogenic microorganisms is important.Methods
In this study, a bioinformatics pipeline was developed. First, a comprehensive and penetrating reference database of nucleic acids from pathogenic microorganisms was constructed, and sequence alignment analysis was performed via nanopore sequencing of metagenomic data collected from 40 patients with lower respiratory tract infection symptoms. The similarity, abundance, and matching length of the sequences were integrated to obtain a comprehensive parameter, all_ratio, which can be used to identify pathogenic microorganisms effectively.Results
Compared with two previous met
SUBMITTER: Mai G
PROVIDER: S-EPMC11806817 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature