Enrichment Map Plugin Download Page

Brief Description

Enrichment Map is a Cytoscape plugin for functional enrichment visualization. Enrichment results have to be generated outside Enrichment Map, using any of the available methods. Gene-sets, such as pathways and Gene Ontology terms, are organized into a network (i.e. the "enrichment map"). In this way, mutually overlapping gene-sets cluster together, making interpretation easier. Enrichment Map also enables the comparison of two different enrichment results in the same map.

Follow this link for more details and an analysis example.

Plugin Download

Cytoscape 3

Cytoscape 3.2 and higher require Java 7.

If you are on Mac OSx Snow leopard (10.6.8) and want to use Cytoscape 3.2 check out these instructions for installing Java 7 and Cytoscape 3.2 on your system.

1. Updated at 11/20/2014 - Release 2.0.1 : Compatible with cytoscape 3.1

   • Ported existing EM to Cytoscape 3.

   • Fixed post analysis (issue #48)

   • Enrichment Map Plugin (v2.0.1 Build 480)
     Download the zipped file, install plugin from file in App manager.
     

   • Source code can be found on github: https://github.com/BaderLab/EnrichmentMapApp (EM_Cyto_port branch)

Development Versions

1. Updated at 02/12/2015 - Release 2.1.0 (Beta 1) : Compatible with cytoscape 3.2

   • New auto annotation feature. - Check out tutorial here

   • fixed issue with renaming clusters.
   • fixed null pointer with heatmap creation

   • fixed issue #56, #45, #46, #52

   • Enrichment Map Plugin (v2.1.0 Beta 1 Build 500)
     Download the zipped file, install plugin from file in App manager.
     

   • Source code can be found on github: https://github.com/BaderLab/EnrichmentMapApp (AutoAnnotate branch)

Cytoscape 2.8

1. Updated at 07/06/2011 - Release 1.2 : Compatible with cytoscape 2.6,2.7,2.8

   • Enrichment Map Plugin (v1.2 Release)
     Download the zipped file, move it to the Cytoscape plugin directory and unzip it.
     

     Distributions with source code:
     

   • Enrichment Map Plugin with source code (v1.2 Release)

   • Enrichment Map Plugin with source code, tar and gzipped (v1.2 Release)

   • Added Features and Release Notes

2. Updated at 02/7/2011 - Release 1.1: Compatible with cytoscape 2.6,2.7,2.8

   • Enrichment Map Plugin (v1.1 Release)
     Download the zipped file, move it to the Cytoscape plugin directory and unzip it.
     

     Distributions with source code:
     

   • Enrichment Map Plugin with source code (v1.1 Release)

   • Enrichment Map Plugin with source code, tar and gzipped (v1.1 Release)

Development Versions

1. Updated at 04/9/2014 - Release 1.3 - Release Candidate 6 : Compatible with cytoscape 2.6,2.7,2.8

   • Added bug fix with missing leading edge on reloaded sessions files for down regulated gene sets.
   • Added command tool support
   • Added EDB support
   • Added values to heat map
   • Added ability to load GSEA class files directly
   • fixed misc bugs

   • Enrichment Map Plugin (v1.3 RC6)
     Download the zipped file, move it to the Cytoscape plugin directory and unzip it.
     

   • Source code can be found on github: https://github.com/BaderLab/EnrichmentMapApp

Tutorials and Examples

data used for the tutorials: Estradiol-treated MCF7 cells, 12 and 24hrs (Gene Expression Omnibus: GSE11352)

• GSEA format:

  • Guided GSEA tutorial to load the filed into Enrichment Map

  • Guided GSEA/EM tutorial to create EM directly from GSEA interface for single analysis (direct link from GSEA Reports frame).

  • Guided GSEA/EM tutorial for multiple analyses to create an EM directly from GSEA interface for multiple analysis (from "Step in GSEA analysis frame)

• Generic format:

  • files: EM_EstrogenMCF7_TestData_Generic.zip

  • note: the results should be the same as GSEA

• DAVID format:

  • files: EM_David_testData.zip

  • Guided DAVID Tutorial to load the files into Enrichment Map

• BiNGO format:

  • files: EM_Bingo_testData.zip

  • Guided BiNGO Tutorial to load the files into Enrichment Map

• g:Profiler format:

  • files: EM_gProfiler_testData.zip

  • Guided g:Profiler Tutorial to load the files into Enrichment Map

• GREAT format

  • files:EM_GREAT_Tutorial_testData.zip

  • Guided GREAT Tutorial to load files into Enrichment Map

• Query-set analysis (aka Post-analysis)

  • CTCF targets in MCF7 treated or not with Estrogen

  • Guided Post Analysis Tutorial to load the files into Enrichment Map

• Automatically annotating clusters

  • Guided annotation tutorial

User Guide

Link to User Guide (and FAQ)

Gene-sets for Enrichment Analysis

• directly downloading our monthly updated gene-set collections from Baderlab genesets collections. Description of sources and methods used to create collection can be found here

• we generate gene-set files for enrichment analysis (e.g. GSEA) by querying public resources such as Gene Ontology and KEGG, and using Entrez-Gene ID for genes

  download page

• how to convert DAVID gene-sets to GMT: R script

Publications

Cite EM

• Enrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation
  Merico D, Isserlin R, Stueker O, Emili A, Bader GD
  PLoS One. 2010 Nov 15;5(11):e13984
  PubMed Abstract -PDF
  

Examples of Use

• Functional impact of global rare copy number variation in autism spectrum disorders.
  Pinto D, Pagnamenta AT, Klei L, Anney R, Merico D, Regan R, Conroy J, Magalhaes TR, Correia C, Abrahams BS, Almeida J, Bacchelli E, Bader GD, et al.
  Nature. 2010 Jun 9 (Epub ahead of print)
  PubMed Abstract - PDF
  Nature Blogs - In the news (The Globe and Mail)
  

• Pathway analysis of dilated cardiomyopathy using global proteomic profiling and enrichment maps
  Isserlin R, Merico D, Alikhani-Koupaei R, Gramolini A, Bader GD, Emili A.
  Proteomics 2010, March 10(6):1316-27
  Pubmed Abstract - PDF
  

Papers Citing Enrichment Map

• Citations in Pubmed Central

• Pathway analysis of expression data: deciphering functional building blocks of complex diseases.
  Emmert-Streib F, Glazko GV.
  PLoS Comput Biol. 2011 May;7(5):e1002053.
  PubMed

• Inflammasome is a central player in the induction of obesity and insulin resistance.
  Stienstra R, van Diepen JA, Tack CJ, Zaki MH, van de Veerdonk FL, Perera D, Neale GA, Hooiveld GJ, Hijmans A, Vroegrijk I, van den Berg S, Romijn J, Rensen PC, Joosten LA, Netea MG, Kanneganti TD.
  Proc Natl Acad Sci U S A. 2011 Aug 29.
  PubMed

• Delineation of Two Clinically and Molecularly Distinct Subgroups of Posterior Fossa Ependymoma
  Witt H, Mack SC, Ryzhova M, Bender S, Sill M, Isserlin R, Benner A, Hielscher T, Milde T, Remke M, Jones DTW, Northcott PA, Garzia L, Bertrand KC, Wittmann A, Yao Y, Roberts SS, Massimi L, Van Meter T, Weiss WA, Gupta N, Grajkowska W, Lach B, Cho YJ, von Deimling A, Kulozik AE, Witt O, Bader GD, Hawkins CE, Tabori U, Guha A, Rutka JT, Lichter P, Korshunov A, Taylor MD, Pfister SM
  Cancer Cell, Volume 20, Issue 2, 143-157, 16 August 2011
  PubMed Abstract - PDF
  

Report a Bug or a Problem

1. please make sure you don't have formatting issues (have a look at the User Guide (and FAQ))

   • if you are still not sure how to handle formats,
   • or you don't know what's the best suitable analysis for you,
   • please send an email to: daniele[AT]merico[DOT]gmail.com
2. please check what's your
   • plugin version and build (from the Cytoscape menu / Plugins / Enrichment Map / About)
   • Cytoscape version (from the Cytoscape menu / Cytoscape)
   • Operating System (e.g. Windows Vista)

   and send your bug report to ruth[DOT]isserlin[AT]utoronto.ca
   OR
   report the bug to the Enrichment map issue tracker:

   1. go to https://github.com/BaderLab/EnrichmentMapApp

   2. click on "Issues"
   3. click on "New Issue"
   4. write a short description of the issue
   5. attached session file (.cys) file or example input files if applicable
   6. Make sure to enter plugin version and build, cytoscape version and operating system.
   7. click on "Submit new issue"

3. For Feature requests please send to enrichmentmap-dev@googlegroups.com