Systems Biology is a holistic approach to understanding biological complexity by studying the interactions and dynamics of biological components genes, proteins, metabolites, and cells as integrated systems. Rather than examining parts in isolation, systems biology seeks to model and predict the behavior of entire biological networks, enabling a deeper understanding of physiology, disease mechanisms, and therapeutic responses.

Integrative Omics refers to the combined analysis of data from various high-throughput “omics” platforms including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. By integrating these diverse datasets, researchers can obtain a multi-dimensional view of biological systems, uncover hidden regulatory mechanisms, and identify novel biomarkers and drug targets.