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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...
Autores principales: | Biggel, Michael, Johler, Sophia, Roloff, Tim, Tschudin-Sutter, Sarah, Bassetti, Stefano, Siegemund, Martin, Egli, Adrian, Stephan, Roger, Seth-Smith, Helena M. B. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2023
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Materias: | |
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 |
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