Combining these approaches can provide a more comprehensive understanding of biological processes. For example, genomic data can identify genetic variations, while transcriptomic data can reveal how those variations relate to gene expression.

Reliable nucleic acid extraction, quality assessment, experimental design, and data analysis are essential for obtaining meaningful results.