Multi-omics data refers to a comprehensive approach in biological research where multiple "omes" are analyzed simultaneously to provide a holistic view of cellular and molecular processes. These 'omes include genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Integrating these diverse datasets can lead to a more nuanced understanding of biological systems, such as identifying disease mechanisms, and facilitating precision medicine.
