Pavla Debeljak

FlavoTyper is a genome-based in-silico tool for serotyping Flavobacterium psychrophilum, showing strong association between O-types and host fish species.

The paper uses interpretable machine learning to analyze multi-omics data from soybean under drought stress, identifying key biomarkers and interactions influencing plant phenotypes.

The paper examines links between prokaryotic taxa and trace metals in Southern Ocean water masses using PLSR analysis.

The paper uses machine learning to analyze metagenomic data and shows that C4-photosynthesis genomic potential in picoeukaryotes is functionally redundant but taxonomically structured globally.

The paper develops a computational workflow to analyze unassigned protist genetic barcodes across marine surveys, identifying spatio-temporal patterns in Syndiniales parasites.