Unknown

Dataset Information

Accurate genotyping of three major respiratory bacterial pathogens with ONT R10.4.1 long-read sequencing.


ABSTRACT: High-throughput massive parallel sequencing has significantly improved bacterial pathogen genomics, diagnostics, and epidemiology. Despite its high accuracy, short-read sequencing struggles with the complete genome reconstruction and assembly of extrachromosomal elements such as plasmids. Long-read sequencing with Oxford Nanopore Technologies (ONT) presents an alternative that offers benefits including real-time sequencing and cost efficiency, particularly useful in resource-limited settings. However, the historically higher error rates of ONT data have so far limited its application in high-precision genomic typing. The recent release of ONT's R10.4.1 chemistry, with significantly improved raw read accuracy (Q20+), offers a potential solution to this problem. The aim of this study is to e

SUBMITTER: Zidane N 

PROVIDER: S-EPMC12315706 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature