Multi-omics data refers to the comprehensive integration of various types of biological data, such as genomics, transcriptomics, proteomics, and metabolomics, to provide a holistic view of biological systems. This integrated approach enables researchers to better understand complex interactions within cells and organisms, fostering insights into disease mechanisms and potential therapeutic targets. By combining information from different omic layers, multi-omics data emphasizes the importance of an interdisciplinary approach in biological research and highlights its applications in personalized medicine and drug discovery.
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