EMMAWiki: Difference between revisions

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With EMMA you can do normalization of single and multiple microarrays and run statistical tests for inferring differrentially expressed genes. You can also run cluster analysis to find co-regulated genes.
With EMMA you can do normalization of single and multiple microarrays and run statistical tests for inferring differrentially expressed genes. You can also run cluster analysis to find co-regulated genes.


* [[StepbyStep|Step by Step tutorial for complete beginners]]
* [[EMMAWiki/StepbyStep|Step by Step tutorial for complete beginners]]
* Common problems: [https://www.cebitec.uni-bielefeld.de/chpwreq.html  forgot your password?] | [https://www.cebitec.uni-bielefeld.de/system/cgi-bin/passwd.pl change your password?]
* Common problems: [https://www.cebitec.uni-bielefeld.de/chpwreq.html  forgot your password?] | [https://www.cebitec.uni-bielefeld.de/system/cgi-bin/passwd.pl change your password?]


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/!\ '''See important information for [[Firefox3|Firefox 3 users]]'''
/!\ '''See important information for [[Firefox3|Firefox 3 users]]'''


* [[TermsAndConcepts|Terms and Concepts]]
* [[EMMAWiki/TermsAndConcepts|Terms and Concepts]]
** [[TermsAndConcepts/ForUsers| For Users]]
** [[EMMAWiki/TermsAndConcepts/ForUsers| For Users]]
** [[TermsAndConcepts/ForDevelopers| For Developers]]
** [[EMMAWiki/TermsAndConcepts/ForDevelopers| For Developers]]


== Documentation ==
== Documentation ==

Revision as of 12:05, 26 October 2011

EMMA 2 Overview Page

EMMA 2 - A MAGE-compliant system for storage and analysis of microarray data

EMMA 2 is a web-based system for management and analysis of transcriptomic data. EMMA 2 allows mapping of gene expression data onto proteome data or pathways and vice versa. It provides extensible analysis and visualization Plug-Ins via the R-language. EMMA 2 now supports the MAGE-ML XML-language for the interchange of microarray data. With EMMA you can do normalization of single and multiple microarrays and run statistical tests for inferring differrentially expressed genes. You can also run cluster analysis to find co-regulated genes.

Please have a look at the EMMA info website for general information.

/!\ See important information for Firefox 3 users

Documentation

General

Other Issues

EMMA 2 is a free software and is distributed under the GNU General Public License (GPL). For more information about project setup, license, demo project, guided tour, workshops and PDF documentation, please go to the EMMA website.

Contact

Please: File:EMMAWiki$RTFM.png before submitting bug reports!

Please send

/!\ Please never send passwords or other confidential information to mailing lists

Developers

Former developers


File:EMMAWiki$emma cartoon by dkoch small.png

Cartoon by Daniel Koch, 2004


Copyright (C) 2004, Center for Biotechnology, Bielefeld University

Author: Michael Dondrup