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| <<TableOfContents(3)>> == Outline == This quick tutorial will guide you through the generation of an Enrichment Map for an analysis performed using [[http://great.stanford.edu/great/public/html/| Genomic Region Enrichment Annotation Tool (GREAT)]], To run this tutorial: * You need to have Cytoscape installed : minimally 3.1.0 must be installed but preferable to have the latest version of Cytoscape (e.g. version 3.1.1) * Install the Enrichment Map App from the Cytoscape App manager in cytoscape 3. * You need to download the test data: [[attachment:GREATTutorial.zip]] Description of the tutorial files contained in the GREATTutorial folder: * !TestRegions_ForGREAT.bed : Example GREAT genomic region input file. * !GreatExprotAll.tsv : Example of download GREAT output file. * 20140919-public-2.0.2-3vD5MB-hg19-all-gene.txt : Example downloaded GREAT gene to region association file. * geneToRegionExpressionFile.txt : transformed gene to region association file downloaded from GREAT. == Instructions == === Step 1: Generate GREAT output files === {{attachment:Great_exportall.png|Screenshot Great Export results|align="right"}} 1. GO to GREAT website - [[http://great.stanford.edu/great/public/html/]] 1. Select ''Species Assembly'' associated with your data. For this tutorial select ''Human: GRCh37'' 1. In ''Test regions'' click on ''Choose File'' 1. Navigate to files provided and select ''TestRegions_forGreat.bed'' 1. Click on ''Submit'' 1. Once the results page has loaded download all the results - in the ''Global controls'' heading click on the down arrow next to ''Global Export'' 1. Select ''All data as tsv'' - greatExportAll.tsv will automatically be downloaded to your default Downloads directory. --> This is the file you can use in Enrichment Map (Dataset 1 or 2:Enrichment Results) === Step 1B: Generate Gene to region association file [Optional] === {Optional} - Download the Gene-to-region used by GREAT and modify it to be used in EM as an expression file. 1. In the ''Global controls'' heading click on the down arrow next to ''Global Export'' 1. Select ''view all region-gene associations'' 1. Next to ''Gene->genomic region association table'' [The table on the right hand side of the page] click on ''Download table as text''. 1. File will automatically downloaded into your default Downloads directory (file name is similar to DATE-public-2.0.2-3vD5MB-hg19-all-gene.txt where DATE is the date of download. Name will also change depending on the version of GREAT and genome selected). 1. Open the downloaded file in Excel. 1. Add a row to the top of the file. 1. In the first column enter "Name", and in the second column enter "Description" |
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| This tutorial has been moved to: http://enrichmentmap.readthedocs.io/en/docs-2.2/Tutorial_GREAT.html | |
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| === Stpe 2: Generate Enrichment Map with GREAT Output === {{attachment:Great_inputpanel.png|Screenshot Great Input Panel|align="right"}} 1. Open Cytoscape 1. Click on Apps / Enrichment Maps / Load Enrichment Results 1. Make sure the Analysis Type is set to DAVID/BiNGO/GREAT 1. Please select the following files by clicking on the respective (...) button and selecting the file in the Dialog: * '''NO GMT file is required for GREAT Analysis''' * Dataset 1 / Expression: `!geneToRegionExpressionFile.txt` (OPTIONAL) * Dataset 1 / Enrichments: `!GreatExportAll.tsv` 1. Tune Parameters * P-value cut-off `0.001` * Q-value cut-off `0.05` * Check Jaccard Coefficient * Jaccard coefficient cut-off `0.25` 1. Build Enrichment Map <<BR>><<BR>><<BR>><<BR>><<BR>><<BR>><<BR>><<BR>><<BR>><<BR>><<BR>><<BR>><<BR>> === Stpe 3: Filtering GREAT results === {{attachment:Great_filtering.png|Screenshot Great filters|align="right"}} 1. Once the network starts to build a dialog will pop up asking you how you would like to filter the GREAT results. There are four options: 1. Use Hypergeometric test p-values and FDR only --> ''Hypergeometric'' 1. Use Binomial test p-values and FDR only. --> ''Binomial'' 1. Use both hypergeometric and binomial test p-values and FDR. Enrichment result must pass threshold for both tests. --> ''Both'' 1. Enrichment result must pass one of the above tests to be included in the results --> ''Either'' 1. Select ''Both'' === Step 4: Examining Results === {{attachment:GREAT_EM.png|GREAT EM Result}}<<BR>> '''Legend''': 1. Node (inner circle) size corresponds to the number of genes in dataset 1 within the geneset 1. Colour of the node (inner circle) corresponds to the significance of the geneset for dataset 1. 1. Edge size corresponds to the number of genes that overlap between the two connected genesets. |
This tutorial is based on the older 2.2 version of EnrichmentMap. Newer tutorials are available here: https://baderlab.github.io/Cytoscape_workflows/EnrichmentMapPipeline/ |
Enrichment Map GREAT Tutorial
This tutorial has been moved to: http://enrichmentmap.readthedocs.io/en/docs-2.2/Tutorial_GREAT.html
This tutorial is based on the older 2.2 version of EnrichmentMap. Newer tutorials are available here: https://baderlab.github.io/Cytoscape_workflows/EnrichmentMapPipeline/