Difference between revisions of "Tutorial - GO Term Enrichment"

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Revision as of 20:04, 16 August 2006

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Overview

The Gene Ontology component allows the exploration of the Gene Ontology (GO) terms represented within a list of genes. Several different display options are available. The entire GO can be displayed as a tree (TreeView), with the selected genes being shown within the tree. Or, the list of genes can be displayed sorted by their overrepresentation P-values (TableView). This P-value is calculated from the observed vs expected number of hits to a category based on its representation in markers annotated in the microarray type as a whole, e.g. HG_U95Av2.

Example

In this example we will use the file "webmatrix_quantile_log2_dev1.2_mv0.exp" available in the tutorial data section (coming soon). The list of 84 markers was obtained as shown in the Hierarchical Clustering tutorial. The marker lists can also be directly loaded from the file cluster_tree_total_pearsons_84_markers.csv found in the tutorial data download.

  • Activate the list by checking its box in the Markers component as shown:


Tutorial-Markers-ClusterTree84.png


  • In the Gene Ontology component, choose the type of GO term that one wants, either Component, Function or Process. In this example we will select the Function tab.
  • Click on Map List(s).
  • We see in the picture below that 49 of the 84 total genes were placed in functional categories. By scrolling and by clicking on individual tree nodes, we can explore the tree. We see that the largest single category, with 40 hits, was binding.


Tutorial GeneOntology Result.png


By clicking on the binding node, we can travel down to increasing levels of detail. By right-clicking on a folder icon and selecting Show Mappings->Selected List(including descendents) as shown below, we can see the gene names of the 25 genes categorized at that level.


Tutorial GeneOntology Result-binding.png


A second view of the data is available by clicking on the TableView tab. This will show the degree of overrepresentation in GO categories. Here is the data for the Function category for the same list as above:


Tutorial GeneOntology TableView.png

Note the Save button at right on the component. This will dump the entire contents of the table to a text file with extension .dat.