Maja Rupnik

This study identifies distinct gut dysbiosis patterns and oral-gut microbial signatures for C. difficile, Campylobacter, and Salmonella infections using 16S rRNA gene sequencing and machine learning.

MicrobiomePrime identifies primer pairs for microbial source tracking by analyzing amplicon sequences, achieving high specificity in laboratory validation.

This study examines ethanol-resistant gut bacteria and their sporulation dynamics in humans over six months, finding that resistance correlates with persistence and inter-individual transmission.

This study characterizes prophages in Bacteroides and Phocaeicola using bioinformatic tools, revealing their diversity, broad host range, and temporal stability in the human gut.