Naive Bayes Classifiers and accompanying dataset for Pseudomonas syringae isolate characterization.

ABSTRACT: The Pseudomonas syringae species complex (PSSC) is a diverse group of plant pathogens with a collective host range encompassing almost every food crop grown today. As a threat to global food security, rapid detection and characterization of epidemic and emerging pathogenic lineages is essential. However, phylogenetic identification is often complicated by an unclarified and ever-changing taxonomy, making practical use of available databases and the proper training of classifiers difficult. As such, while amplicon sequencing is a common method for routine identification of PSSC isolates, there is no efficient method for accurate classification based on this data. Here we present a suite of five Naïve bayes classifiers for PCR primer sets widely used for PSSC identification, trained on in-si

SUBMITTER: Fautt C 

PROVIDER: S-EPMC10850129 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature