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Enrichment Map David Tutorial

Outline

This quick tutorial will guide you through the generation of an Enrichment Map for an Enrichment analysis performed using DAVID Functional Annotation Tool,

Pre-requisites:

Example Files:

Data Description

Data Required for Running Enrichment Analysis in David

  1. List of Genes of interest - the list should consist of a list of genes of interest with every gene having the same identifier type (for example, a list of significantly differentially expressed genes from a microarray experiment with Entrez gene ids)
  2. List of Genes to be used for Background set (Optional) - (for example, the list of genes present on the microarray chip with Entrez gene ids)

Data Required for Running Enrichment Map with David Output

  1. expression matrix (OPTIONAL)
  2. enrichment tables
    • dataset-1
      • DAVID functional Enrichment Condition 1 - functional Enrichment Chart
    • data-set 2
      • DAVID functional Enrichment Condition 2 - functional Enrichment Chart (OPTIONAL)

Instructions

Version 1.0 or newer

  1. Open Cytoscape
  2. Click on Plugins / Enrichment Maps / Load Enrichment Results
  3. Make sure the Analysis Type is set to DAVID/Bingo
  4. Please select the following files by clicking on the respective (...) button and selecting the file in the Dialog:
    • NO GMT file is required for DAVID Analysis

    • Dataset 1 / Expression: Estrogen_expression_file.txt (OPTIONAL)

    • Dataset 1 / Enrichments: 12hr_DAVID_output.txt

    • Click on "Dataset 2 arrow_collapsed.gif" to expand the panel

    • Dataset 2 / Expression: leave empty

    • Dataset 2 / Enrichments 1: 24hr_DAVID_output.txt (OPTIONAL)

  5. P-value cut-off 0.001

  6. Q-value cut-off 0.05

  7. Check Overlap Coefficient
  8. Overlap coefficient cut-off 0.5

  9. Build Enrichment Map
  10. Go to View, and activate Show Graphics Details

NOTE: if you are using two enrichment sets you will see two different colours of edges in the enrichment map. When the set of genes in the two datasets are different (for example, when you are comparing two different species or when you are comparing results from two different platforms the overlaps are computed for each dataset separately as there is a different set of genes that the enrichments were calculated on. In this case, since the enrichments were reduced to only a subset of most differentially expressed at each time point the set of genes the enrichments are calculated on are different and overlap are calculated for each set separately.)

Software/EnrichmentMap/DavidTutorial (last edited 2011-07-04 16:12:55 by RuthIsserlin)

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