What kind of technologies can be used?

The type of technology used in a functional genomics experiment depends on the scale and intent of the experiment. Some commonly used technologies are real-time PCR, microarray analysis, next generation sequencing and RNA-seq.

How do you analyse functional genomics data?

The way functional genomics data is analysed varies depending on the technology used and the design and focus of the experiment. For gene expression studies, analysis involves quality control, data normalisation and statistical analysis to identify differentially expressed genes. Common tools for the visualisation and interpretation of gene expression data are hierarchical clustering (heatmaps), gene set enrichment analysis and pathway/network analysis. For high-throughput technologies such as RNA-seq data analysis will require some programmatic skills and bioinformatics expertise.