The project focuses on the generation, processing, and interpretation of high‑throughput omics datasets to understand molecular mechanisms underlying biological phenotypes. This includes integration of genomics, transcriptomics, proteomics, and/or metabolomics data to identify biomarkers, regulatory pathways, and functional networks. The research aims to support hypothesis‑driven discovery as well as data‑driven modeling using computational and statistical approaches.