- Course overview
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- Introduction
- Real-time PCR
- What is Next Generation DNA Sequencing?
- RNA sequencing
- Biological interpretation of gene expression data
- Genotyping, epigenetic and DNA/RNA-protein interaction methods
- DNA/RNA-protein interactions
- Summary
- Quiz: Check your learning
- Your feedback
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- References
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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 has been the most common use of microarray up to the mid-2010s, with many datasets still available for consultation or further analysis on public databases.
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):
- feature extraction
- quality control
- normalisation
- differential expression analysis
- biological interpretation of the results
- submission of data to a public database (ArrayExpress collection in BioStudies or Gene Expression Omnibus GEO)
We will now go through each of these steps in more detail.