PorinPredict: In Silico Identification of OprD Loss from WGS Data for Improved Genotype-Phenotype Predictions of P. aeruginosa Carbapenem Resistance

The increasing integration of genomics into routine clinical diagnostics requires reliable computational tools to identify determinants of antimicrobial resistance (AMR) from whole-genome sequencing data. Here, we developed PorinPredict, a bioinformatic tool that predicts defects of the Pseudomonas...

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Detalles Bibliográficos
Autores principales: Biggel, Michael, Johler, Sophia, Roloff, Tim, Tschudin-Sutter, Sarah, Bassetti, Stefano, Siegemund, Martin, Egli, Adrian, Stephan, Roger, Seth-Smith, Helena M. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100854/
https://www.ncbi.nlm.nih.gov/pubmed/36715510
http://dx.doi.org/10.1128/spectrum.03588-22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100854/
https://www.ncbi.nlm.nih.gov/pubmed/36715510
http://dx.doi.org/10.1128/spectrum.03588-22

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