Anna Górska

The paper analyzes metagenomic time-series data to track the spread of antibiotic resistance genes through bacterial chromosomes, plasmids, and phages during antibiotic therapy.

The paper demonstrates obtaining whole bacterial chromosomes from metagenomic samples using long-read sequencing and presents a pipeline with frame-shift correction.

MEGAN-LR provides new algorithms for taxonomic and functional binning of long reads and contigs, with evaluation on simulated and real datasets.