Multi-omics involves collecting and analyzing different types of biological data. Genomics data provides information on DNA mutations and structural variations, while transcriptomics focuses on RNA expression patterns. Proteomics examines protein expression and interactions, and metabolomics studies metabolic changes. Epigenomics looks at DNA methylation and histone modifications. Advanced computational tools and algorithms are then used to integrate these datasets, revealing insights that would be impossible to obtain from any single type of data.
