Forecasting Staphylococcus aureus Infections Using Genome-Wide Association Studies, Machine Learning, and Transcriptomic Approaches

ABSTRACT Staphylococcus aureus is a major human and animal pathogen, colonizing diverse ecological niches within its hosts. Predicting whether an isolate will infect a specific host and its subsequent clinical fate remains unknown. In this study, we investigated the S. aureus pangenome using a curat...

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Bibliographic Details

Main Authors:	Mohamed Sassi, Julie Bronsard, Gaetan Pascreau, Mathieu Emily, Pierre-Yves Donnio, Matthieu Revest, Brice Felden, Thierry Wirth, Yoann Augagneur
Format:	Artigo
Language:	Inglês
Published:	American Society for Microbiology 2022-08-01
Series:	mSystems
Subjects:	Staphylococcus aureus genomics GWAS coding and noncoding regions random forest trancriptomics
Online Access:	https://journals.asm.org/doi/10.1128/msystems.00378-22
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