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Enrichment Map g:Profiler Tutorial

Outline

This quick tutorial will guide you through the generation of an Enrichment Map for an analysis performed using g:Profiler (Functional Profiling of Gene List from large-scale experiments)

To run this tutorial:

Instructions

Step 1: Generate g:Profiler output files

  1. Go to g:Profiler website - http://biit.cs.ut.ee/gprofiler/

  2. Select and copy all genes in the tutorial file 12hr_topgenes.txt in the Query box. /!\ make sure that your list contains only official gene symbol (HUGO)

  3. In Options, check Significant only, No electronic GO annotations

  4. Set the Output type to Generic EnrichmentMap

  5. Show advanced options

  6. Set Min and Max size of functional category to 3 and 500 respectively.

  7. Select 2 for Size of Q&T

  8. On the right panel, choose the Gene Ontology Biological process and Kegg and Reactome

  9. Set Significance threshold to Benjamini-Hochberg FDR

  10. Click on g:Profile! to run the analysis

    1. [Note] - if some of your identifiers in your query have multiple mappings in g:Profiler! by default they get excluded. If this happens you will see the following above the g:Profiler! results:

      • gProfiler_warning_screenshot.png

    2. Click on above link to manually map each gene to its correct annotation
      • gProfiler_warning_expanded_screenshot.png

    3. click on Resubmit query to update your results with the specified mappings.

    4. If the identifier discrepancy warning is ignored there might be differences between the number of genes g:Profiler attributes to a particular gene set and those associated with it in the Enrichment Map.

  11. Download g:Profiler data as gmt: name Note: you will have to unzip the folder

  12. Download the result file: Download data in Generic Enrichment Map (GEM) format

Note: repeat these steps for the 24hrs time-point and the file 24hr_topgenes.txt

gProfiler_screenshot.png


Screenshot gProfilet EM Panel

Step 2: Generate Enrichment Map with g:Profiler Output













Step 3: Examining Results

gProfiler EM Result
Legend:

  1. Node size corresponds to the number of genes in dataset 1 within the geneset
  2. Colour of the node corresponds to the significance of the geneset for dataset 1.
  3. Edge size corresponds to the number of genes that overlap between two connected genesets.

Software/EnrichmentMap/GProfilerTutorial (last edited 2015-06-24 13:30:20 by RuthIsserlin)

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