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<li>Java jar file -- Command line interface that can be downloaded from the [http://www.broadinstitute.org/gsea/downloads.jsp Downloads] page. See [http://www.broadinstitute.org/gsea/doc/GSEAUserGuideTEXT.htm#_Running_GSEA_from_the Command Line Running GSEA from the Command Line] in the <i>User Guide</i> for details. This might be useful for analyzing several datasets sequentially, analyzing large datasets, or running analyses on a compute cluster.</li> | <li>Java jar file -- Command line interface that can be downloaded from the [http://www.broadinstitute.org/gsea/downloads.jsp Downloads] page. See [http://www.broadinstitute.org/gsea/doc/GSEAUserGuideTEXT.htm#_Running_GSEA_from_the Command Line Running GSEA from the Command Line] in the <i>User Guide</i> for details. This might be useful for analyzing several datasets sequentially, analyzing large datasets, or running analyses on a compute cluster.</li> | ||
<li>R-GSEA -- R implementation of GSEA that can be downloaded from the [http://www.broadinstitute.org/gsea/downloads.jsp Downloads] page. This implementation is intended for experienced computational biologists who want to tweak and play with algorithm. The [[R-GSEA_Readme|R-GSEA Readme]] provides brief instructions and support is limited. Please note that this implementation has not been actively maintained since 2005.</li> | <li>R-GSEA -- R implementation of GSEA that can be downloaded from the [http://www.broadinstitute.org/gsea/downloads.jsp Downloads] page. This implementation is intended for experienced computational biologists who want to tweak and play with algorithm. The [[R-GSEA_Readme|R-GSEA Readme]] provides brief instructions and support is limited. Please note that this implementation has not been actively maintained since 2005.</li> | ||
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</ul> | </ul> | ||
</p> | </p> | ||
<p>Thank you for your interest in GSEA,<br> | <p>Thank you for your interest in GSEA,<br> | ||
The GSEA Team</p> | The GSEA Team</p> | ||
Revision as of 07:36, 17 June 2015
<a href="http://www.broadinstitute.org/gsea/">GSEA Home</a> |
<a href="http://www.broadinstitute.org/gsea/downloads.jsp">Downloads</a> |
<a href="http://www.broadinstitute.org/gsea/msigdb/">Molecular Signatures Database</a> |
<a href="http://www.broadinstitute.org/cancer/software/gsea/wiki/index.php/Main_Page">Documentation</a> |
<a href="http://www.broadinstitute.org/gsea/contact.jsp">Contact</a>
Use the navigation bar on the left to display documentation on GSEA software, MSigDB database or GSEA/MSigDB web site. If you have comments or questions not answered by the FAQ or the User Guide, contact us: gsea@broadinstitute.org.
- When contacting our team with questions about java GSEA programs, please send the following information:
- your computer's operation system
- version of java which you used to run GSEA
- detailed log transcript from the GSEA session in question
to view the log, click [+] at the bottom of main screen of GSEA java desktop application, copy the text to a separate file and attach it to your request
Where to start
If you are new to GSEA, see the Tutorial for a brief overview of the software.
If you have a question, see the FAQ or the User Guide. The User Guide describes how to prepare data files, load data files, run the gene set enrichment analysis, and interpret the results. It also includes instructions for running GSEA from the command line and a Quick Reference section, which describes each window of the GSEA desktop application.
MSigDB gene sets
Current release of the Molecular Signatures Database (v5.0 MSigDB) contains 10,348 gene sets for use with GSEA. The best source of information about the gene sets is the MSigDB web site. In addition, an overview of MSigDB gene set collections can be found here
Please note that gene sets can change or become deprecated in subsequent releases of MSigDB. It is thus important to indicate version of MSigDB to fully reference gene sets used in your study.
Software
We provide the following software implementations of the GSEA method:
- Java desktop application -- Easy-to-use graphical interface that can be run from the Downloads page. The User Guide fully describes this application (referred to as GSEA or GSEA-P).
- Java jar file -- Command line interface that can be downloaded from the Downloads page. See Command Line Running GSEA from the Command Line in the User Guide for details. This might be useful for analyzing several datasets sequentially, analyzing large datasets, or running analyses on a compute cluster.
- R-GSEA -- R implementation of GSEA that can be downloaded from the Downloads page. This implementation is intended for experienced computational biologists who want to tweak and play with algorithm. The R-GSEA Readme provides brief instructions and support is limited. Please note that this implementation has not been actively maintained since 2005.
Thank you for your interest in GSEA,
The GSEA Team
