Erik Kristiansson

TRIDENT-2 predicts chemical toxicity across eukaryotic species using multimodal transformers, achieving accuracy across diverse chemicals and taxa.

This study systematically analyzes antibiotic resistance gene transfers between evolutionary distant bacteria, identifying 661 inter-phyla transfers and highlighting differences in transfer frequency and mechanisms across ARG classes and phyla.

The paper investigates how the prevalence of antibiotic resistance genes in human gut and wastewater microbiomes correlates with their dissemination among bacterial pathogens.

Random forests using nucleotide-composition dissimilarity and metagenomic co-occurrence predict horizontal transfer of resistance genes between bacteria (general model AUROC 0.873); mismatch limits transfer, human and wastewater co-occurrence favors it.

The paper introduces ribosomal tandem repeat barcoding for fungi to generate comprehensive reference data using third-generation sequencing.