Albert Perlas

Real-time genomic pathogen, resistance, and host range characterization from passive water sampling of wetland ecosystems

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.

Latest RNA and DNA nanopore sequencing allows for rapid avian influenza profiling

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

Nanopore- and AI-empowered microbial viability inference

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.

Air monitoring by nanopore sequencing

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