# GO enrichment using a gene list

Gene Ontology (GO) enrichment analysis compares a gene list to lists of genes associated with biological processes, cellular compartments, and molecular functions to provide biological insights. Once a list of genes has been created, it is possible to see which GO terms the genes are associated with and whether any GO terms are significantly enriched in the gene list.

* Select the **E2 vs. Control** spreadsheet from the spreadsheet tree
* Select **Gene Set Analysis** from the *Biological Interpretation* section of the *Gene Expression* workflow
* Select **Next >** to continue with *GO Enrichment*
* Select **Next >** to continue with *1/E2\_vs\_Control (E2 vs. Control)*
* Select **Next >** to continue with default parameter settings
* Select **Next >** to continue with the default mapping file

A new spreadsheet *1 (GO-Enrichment.txt)* will open as a child spreadsheet of *E2 vs. Control* (Figure 1).

![](https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-611d197f4c1dde2dff2c0973fe6f2995db02da54%2F2017-08-29%2016_08_17-Partek%20Genomics%20Suite%20-%201_E2_vs_Control_1%20\(GO-Enrichment.txt\).png?alt=media)

Figure 1. GO Enrichment results spreadsheet

GO terms are shown in rows and are sorted by ascending enrichment p-value.

To visualize the results, we can launch the *Gene Ontology Browser*.

* Select **View** from the main tool bar
* Select **Gene Ontology Browser**

The *Gene Ontology Browser* will open in a new tab (Figure 2).

![](https://1384254481-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJVEESmJAPppJ3ijFq5aR%2Fuploads%2Fgit-blob-a3b9493b846efa6748b8782cd2584e3ad3bb2609%2F2017-08-29%2016_11_41-Partek%20Genomics%20Suite%20-%201_E2_vs_Control_1%20\(GO-Enrichment.txt\).png?alt=media)

Figure 2. Viewing GO enrichment results in the Gene Ontology Browser

The bar chart shows the GO terms with the highest enrichment scores for the gene list.

To learn more about GO enrichment and using the *Gene Ontology Browser*, please consult the [Gene Ontology Enrichment](https://help.partek.illumina.com/partek-genomics-suite/tutorials/gene-ontology-enrichment) tutorial.

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