Multi-omics integrates data from different 'omics' technologies (e.g., genomics, transcriptomics, proteomics, metabolomics) to provide a more holistic understanding of biological systems. It is commonly used to identify biomarkers, understand disease mechanisms, and develop personalized medicine approaches by analyzing complex interactions between different biological layers.
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