Tim Reska

This paper develops a method to link plasmid-encoded AMR genes to their bacterial hosts using nanopore sequencing methylation data, achieving high accuracy in clinical samples.

The paper presents a framework for real-time genomic characterization of pathogens, resistance, and host range in wetlands using passive sampling and nanopore sequencing, finding higher pathogen and AMR gene abundance in anthropogenically impacted sites.

This paper develops a metagenomic framework for detecting Listeria monocytogenes in food environments, showing that direct metagenomics captures more strain diversity than culture-based methods.

The paper evaluates nanopore sequencing for rapid AIV profiling, showing its ability to accurately reconstruct viral genomes and detect RNA modifications.

This paper introduces a computational framework using nanopore sequencing and deep learning to infer microbial viability from raw signal data, showing high accuracy in controlled and real-world applications.

This paper demonstrates that nanopore sequencing can effectively monitor air microbiomes by analyzing microbial diversity in controlled and natural environments.