Analysis of microarray data

Microarrays can be used in many types of experiments including genotyping, epigenetics, translation profiling and gene expression profiling.

Gene expression profiling is by far the most common use of microarray technology. Both one- and two-colour microarrays can be used for this type of experiment. The process of analysing gene expression data is similar for both types of microarrays and involves (Figure 4):

  1. feature extraction
  2. quality control
  3. normalisation
  4. differential expression analysis
  5. biological interpretation of the results
  6. submission of data to a public database
Overview of the microarray data analysis pipeline
Figure 4 Overview of the microarray data analysis pipeline.

We will now go through each of these steps in more detail.