Population-level faecal metagenomic profiling as a tool to predict antimicrobial resistance in Enterobacterales isolates causing invasive infections: A study across three settings in Cambodia, Kenya, and the UK

Population-level faecal metagenomic profiling as a tool to predict antimicrobial resistance in Enterobacterales isolates causing invasive infections: A study across three settings in Cambodia, Kenya, and the UK

Supplementary files include the following output datasets: 1 - "Corrected Gene Counts" (CGCs); 2 - "AB_Matrix_1_or_2"; 3 - "AMR-def"; 4 - "AMR-all"; 5 - "Dataset_For_Bayesian_Model" Files to produce these datasets are also provided (see input files)...

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Bibliographische Detailangaben
1. Verfasser: Tosas Auguet, Olga
Format: Dataset
Sprache:eng
Schlagworte:
Metagenomics
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Zusammenfassung:Supplementary files include the following output datasets: 1 - "Corrected Gene Counts" (CGCs); 2 - "AB_Matrix_1_or_2"; 3 - "AMR-def"; 4 - "AMR-all"; 5 - "Dataset_For_Bayesian_Model" Files to produce these datasets are also provided (see input files) Supplementary files also comprise the results of the Bayesian modelling (See "Steps to reproduce"): 1 - Bayesian Model Comparisons 2 - Bayesian Model Predictions (best model versus null model)
DOI:10.17632/sxn6sw4r57.1