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To learn more about the biology underlying gene expression changes, we can use a gene list to perform pathway or gene use gene ontology (GO) or pathway enrichment analysis.
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Enrichment analysis identifies over-represented GO terms or pathways in a filtered list of genes.
Enrichment analysis
- Click the filtered Feature list data node
- Select Click Biological interpretation from in the task menu
- Select Click Enrichment analysis to perform GO enrichment analysis (Figure 1)
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- Select the latest gene set from geneontology.org from the Gene set drop-down menu
- Select Click Finish
An Enrichment A GO enrichment task node will be generated added to the pipeline (Figure 2).
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- Double-click the Enrichment GO enrichment task node to open the task report (Figure 3)
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The GO enrichment 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.
To view the genes associated with each GO term, select to open the extra exbtra 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.
For more information about GO enrichment analysis, please see the Gene Ontology Enrichment user guide.
KEGG enrichment analysis
KEGG enrichment analysis identifies pathways that are over-represented in a gene list data node.
- Click the filtered Feature list data node
- Click Biological interpretation in the task menu
- Click KEGG enrichment analysis
- Click Finish in the configuration dialog to run KEGG analysis with the Homo sapiens KEGG database
A Pathway enrichment task node will be added to the pipeline (Figure 4).
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- 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).
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To view an interactive KEGG pathway map, choose.
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