Multi-omics approaches involve integrating data from various omics disciplines, such as genomics, transcriptomics, proteomics, and metabolomics, to provide a comprehensive understanding of biological systems. This integrative strategy allows researchers to capture the complexity of biological processes, particularly in contexts like drug discovery and development, where understanding interactions at multiple biological levels is crucial for identifying potential therapeutic targets and understanding drug effects.
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