The next step of interpretation is creation of a list of genes overlapping with the differentially methylated CpG loci. 

A new spreadsheet will be created as a child spreadsheet (Figure 2)

Partek Genomics Suite offers several tools to help interpret this list of genes. First, let's look at Gene Set Analysis. 

A new spreadsheet will be created with categories ranked by enrichment score and the Gene Ontology Browser will launch to graphically display the results of the spreadsheet (Figure 4). The results show which gene sets are over represented in the list of genes overlapped by differentially regulated CpG loci between the experimental and control groups. 

 

Next, we can perform Pathway Analysis to see which pathways are over represented in the gene overlapped by differentially regulated CpG loci. 

The Pathway-Enrichment spreadsheet will be added to the spreadsheet tree in Partek Genomics Suite and the Partek® Pathway software will open to provide visualization of the most significantly enriched pathway as a pathway diagram (Figure 4). The color of the gene boxes reflects p-values of the associated differentially methylated CpG loci (bright orange is insignificant, purple is highly significant). The Color by option can be changed another column from the gene-list.txt spreadsheet. 

The Pathway-Enrichment spreadsheet can also be viewed in Partek Pathway by switching to the Pathway-Enrichment section of the menu tree on the left-hand side of the window. From the spreadsheet view, you can select a pathway name to visualize that pathway.