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

M Biggel, S Johler, T Roloff… - Microbiology …, 2023 - Am Soc Microbiol
The increasing integration of genomics into routine clinical diagnostics requires reliable
computational tools to identify determinants of antimicrobial resistance (AMR) from whole …
被引用次数：6 相关文章
[PDF] researchgate.net

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

M Biggel, S Johler, T Roloff, S Tschudin-Sutter… - 2023 - researchgate.net
The increasing integration of genomics into routine clinical diagnostics requires reliable
computational tools to identify determinants of antimicrobial resistance (AMR) from whole …

Porinpredict: in silico identification of OprD loss from WGS data for improved genotype-phenotype predictions of P. aeruginosa carbapenem resistance.

M Biggel, S Johler, T Roloff, S Tschudin-Sutter… - 2023 - cabidigitallibrary.org
The increasing integration of genomics into routine clinical diagnostics requires reliable
computational tools to identify determinants of antimicrobial resistance (AMR) from whole …

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

M Biggel, S Johler, T Roloff, S Tschudin-Sutter… - Microbiology …, 2023 - europepmc.org
The increasing integration of genomics into routine clinical diagnostics requires reliable
computational tools to identify determinants of antimicrobial resistance (AMR) from whole …
[HTML] nih.gov

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

M Biggel, S Johler, T Roloff… - Microbiology …, 2023 - ncbi.nlm.nih.gov
The increasing integration of genomics into routine clinical diagnostics requires reliable
computational tools to identify determinants of antimicrobial resistance (AMR) from whole …

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

M Biggel, S Johler, T Roloff… - Microbiology … - pubmed.ncbi.nlm.nih.gov
The increasing integration of genomics into routine clinical diagnostics requires reliable
computational tools to identify determinants of antimicrobial resistance (AMR) from whole …

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

M Biggel, S Johler, T Roloff, S Tschudin-Sutter… - Microbiology …, 2023 - zora.uzh.ch
The increasing integration of genomics into routine clinical diagnostics requires reliable
computational tools to identify determinants of antimicrobial resistance (AMR) from whole …
[PDF] researchgate.net

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

M Biggel, S Johler, T Roloff, S Tschudin-Sutter… - 2023 - researchgate.net
The increasing integration of genomics into routine clinical diagnostics requires reliable
computational tools to identify determinants of antimicrobial resistance (AMR) from whole …

PorinPredict: in silico identification of OprD loss from WGS data for improved genotype-phenotype predictions of P. aeruginosa carbapenem resistance.

M Biggel, S Johler, A Egli, R Stephan… - Microbiology …, 2023 - zora.uzh.ch
The increasing integration of genomics into routine clinical diagnostics requires reliable
computational tools to identify determinants of antimicrobial resistance (AMR) from whole …

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

M Biggel, S Johler, T Roloff, S Tschudin-Sutter… - Microbiology …, 2023 - europepmc.org
The increasing integration of genomics into routine clinical diagnostics requires reliable
computational tools to identify determinants of antimicrobial resistance (AMR) from whole …