Thomas Nordahl Petersen

PanRes is a curated database of antimicrobial resistance genes that uses structural clustering and HMMs to improve detection of resistance determinants in metagenomes.

The paper identifies co-occurring antimicrobial resistance genes (ARGs) in metagenomic datasets to highlight potential co-selection in resistomes across different environments.

The paper curates a large metagenomic dataset to study the global distribution and dynamics of antimicrobial resistance genes.

This paper introduces a deep learning method using variational autoencoders to improve microbial genome binning from metagenomic data, achieving higher precision and completeness in reconstructed bins.