To learn more about the biology underlying gene expression changes, we can use gene ontology (GO) or pathway enrichment analysis. Enrichment analysis identifies over-represented GO terms or pathways in a filtered list of genes.
Click the filtered Filtered feature list data node
Click Biological interpretation in the task menu
Click Gene set enrichment then select Gene set database to perform GO enrichment analysis (Figure 1)
Select the latest gene set from geneontology.org from the Gene set database drop-down menu
Click Finish
A GO e_nrichment_ task node will be added to the pipeline (Figure 2).
Double-click the Gene set enrichment task node to open the task report (Figure 3)
The GO e_nrichment_ task report spreadsheet lists GO terms by ascending p-value with the most significant GO term at the top of the list. Also included are the enrichment score, the number of genes from that GO term in the list, and the number of genes from that GO term that are not in the list.
For more information about GO enrichment analysis, please see the Gene Set Enrichment user guide.
KEGG enrichment analysis identifies pathways that are over-represented in a gene list data node.
Click the filtered Filtered feature list data node
Click Biological interpretation in the task menu
Click Gene set enrichment then select KEGG database
Click Finish in the configuration dialog to run KEGG analysis with the Homo sapiens KEGG database
A Pathway e_nrichment_ task node will be added to the pipeline (Figure 4).
Double-click the Pathway enrichment task node to open the task report
The Pathway enrichment task report is similar to the Enrichment analysis task report (Figure 5).
To view an interactive KEGG pathway map, click the pathway ID (Gene set column).
If you need additional assistance, please visit our support page to submit a help ticket or find phone numbers for regional support.
To view the genes associated with each GO term, select to open the extra details page. To view additional information about a GO term, click the blue gene set ID to open the linked geneontology.org entry in a new tab.
