EMMAWiki
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.
- Step by Step tutorial for complete beginners
- Common problems: forgot your password? | change your password?
Please have a look at the EMMA info website for general information.
Documentation
- Web Documentation
- QuickStart Documentation (PDF)
- EMMA guidelines
- A little more in-depth description of EMMA and microarray analysis in general
- Core Documentation (Functionality of the main backend and executable scripts)
- Developer Documentation
- Administrator Documentation(Installation, project configuration and account management)
- FAQs
- HowTos
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$RTFM.png before submitting bug reports!
Please send
- help requests to MailTo(emma AT cebitec DOT uni DASH bielefeld DOT de)
- bug-reports and feature requests to MailTo(emma DASH devel AT cebitec DOT uni DASH bielefeld DOT de) or use BugZilla
- account requests to MailTo(emma DASH support AT cebitec DOT uni DASH bielefeld DOT de)
/!\ Please never send passwords or other confidential information to mailing lists
Developers
Former developers
File:EMMAWiki$emma cartoon by dkoch small.png
Cartoon by Daniel Koch, 2004
Copyright (C) 2004, Center for Biotechnology, Bielefeld University
Author: Michael Dondrup