Datasets for benchmarking antimicrobial resistance genes in bacterial metagenomic and whole genome sequencing.

ABSTRACT: Whole genome sequencing (WGS) is a key tool in identifying and characterising disease-associated bacteria across clinical, agricultural, and environmental contexts. One increasingly common use of genomic and metagenomic sequencing is in identifying the type and range of antimicrobial resistance (AMR) genes present in bacterial isolates in order to make predictions regarding their AMR phenotype. However, there are a large number of alternative bioinformatics software and pipelines available, which can lead to dissimilar results. It is, therefore, vital that researchers carefully evaluate their genomic and metagenomic AMR analysis methods using a common dataset. To this end, as part of the Microbial Bioinformatics Hackathon and Workshop 2021, a 'gold standard' reference genomic and simulated

SUBMITTER: Raphenya AR 

PROVIDER: S-EPMC9200708 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature