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Dataset Information

<i>In silico</i> and <i>in vitro</i> analyses for the improved diagnosis of bacterial meningitis.


ABSTRACT:

Context

Diagnosing meningitis remains challenging with etiological agents frequently unidentified. Using both in silico and in vitro approaches, this study evaluated published and novel genetic targets for the detection of common bacterial species known to cause meningitis: Neisseria meningitidis, Streptococcus agalactiae, Streptococcus pneumoniae, and Haemophilus influenzae.

Methods

A total of 29 genetic targets were investigated for the detection of N. meningitidis, S. agalactiae, S. pneumoniae, and H. influenzae, using the Gene Presence tool and whole genome sequence data (WGS) found in the genomics platform, PubMLST. These targets were further tested in silico by screening WGS using the PCR tool

SUBMITTER: Amoikon STL 

PROVIDER: S-EPMC12511035 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature