David Zeevi

The paper identifies DNA composition patterns that correlate with temperature and nutrient limitation across marine and soil environments using metagenomic data.

This study develops a method to analyze microbiome DNA syntax using SIG-mers to distinguish healthy from diseased states across diverse populations.

The paper identifies bacterial-viral synergy as a key factor in algal bloom termination, showing how bacteria enhance viral infection and influence carbon cycling pathways.

The paper identifies mobile antibiotic resistance genes in airborne microbiomes using metagenomic co-assembly, showing their potential for global spread via air masses.

The study investigates how dust storms in the Eastern Mediterranean spread pathogens and antibiotic resistance genes, finding higher levels of resistance genes during storms.

Spec2Class is a deep learning tool that accurately classifies plant secondary metabolites from LC-MS/MS spectra, achieving 93% accuracy with a prediction threshold.

This study shows environmental factors have a greater impact on human gut microbiota than host genetics, with microbiome data adding significant predictive value to phenotypes.