A Supervised Statistical Learning Approach for Accurate Legionella pneumophila Source Attribution during Outbreaks
Public health agencies are increasingly relying on genomics during Legionnaires' disease investigations. However, the causative bacterium (Legionella pneumophila) has an unusual population structure, with extreme temporal and spatial genome sequence conservation. Furthermore, Legionnaires' disease outbreaks can be caused by multiple L. pneumophila genotypes in a single source. These factors can confound cluster identification using standard phylogenomic methods. Here, we show that a statistical...[Show more]
|Collections||ANU Research Publications|
|Source:||Applied and Environmental Microbiology|
|01_Buultjens_A_Supervised_Statistical_2017.pdf||2.27 MB||Adobe PDF||Request a copy|
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