Hanan Eizenberg

This study uses high-throughput genomics to identify wild sunflower relatives as sources of broomrape resistance genes.

This paper presents a metabolic modeling framework to predict trophic dependencies in rhizobiomes, identifying beneficial and non-beneficial microbial interactions in apple root environments.

The paper constructs a genome-scale metabolic model for Paenarthrobacter aurescens TC1 to predict and optimize atrazine degradation under various media conditions.

The paper develops DNA-based molecular markers to identify and quantify broomrape species in soil samples, enabling early detection and management of parasitic infestations.