Integrating different types of omics data involves multiple steps such as data preprocessing, normalization, and statistical analysis. Advanced computational techniques and algorithms are used to combine datasets from various omics layers. For example, integrating genomics and proteomics data can reveal how genetic variations influence protein expression and function under the influence of toxic substances.
