Multi-omic data refers to the integration of multiple types of “omics” data, such as genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Each type of data provides a different layer of information about the biological systems. Genomics focuses on DNA sequences, transcriptomics examines RNA transcripts, proteomics studies proteins, metabolomics looks at metabolites, and epigenomics investigates epigenetic modifications. Integrating these diverse datasets can offer a more comprehensive understanding of cancer biology.
