Unknown

Dataset Information

High-Quality Genome-Scale Models From Error-Prone, Long-Read Assemblies.


ABSTRACT: Advances in nanopore-based sequencing techniques have enabled rapid characterization of genomes and transcriptomes. An emerging application of this sequencing technology is point-of-care characterization of pathogenic bacteria. However, genome assessments alone are unable to provide a complete understanding of the pathogenic phenotype. Genome-scale metabolic reconstruction and analysis is a bottom-up Systems Biology technique that has elucidated the phenotypic nuances of antimicrobial resistant (AMR) bacteria and other human pathogens. Combining these genome-scale models (GEMs) with point-of-care nanopore sequencing is a promising strategy for combating the emerging health challenge of AMR pathogens. However, the sequencing errors inherent to the nanopore technique may negatively affect th

SUBMITTER: Broddrick JT 

PROVIDER: S-EPMC7688782 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature