Multi-omics refers to the study of multiple types of biological data, such as genomics, transcriptomics, proteomics, metabolomics, and epigenomics, within a single integrated framework. This approach enables a more comprehensive understanding of biological systems and their complexity by examining interactions and relationships across different levels of biological information. By integrating data from various omics disciplines, researchers can gain insights into how genes, proteins, metabolites, and other molecules interact and influence biological processes and disease states. Multi-omics approaches are increasingly being used in fields such as personalized medicine, biomarker discovery, and systems biology to uncover new insights and novel therapeutic targets.