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.

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

• Terms and Concepts
  • For Users
  • For Developers

Documentation

• User Manual (How to use of the web-interface)
  • Web Documentation
  • QuickStart Documentation (PDF)
• Core Documentation (Functionality of the main backend and executable scripts)
• Developer Documentation
  • GettingStarted
• Administrator Documentation(Installation, project configuration and account management)
  • SoftwareRequirements
  • HardwareRequirements
  • InstallationInstructions
  • ProjectSetup
• FAQs
• HowTos

General

• NewsAndUpdates
• Feature Table
• Future Plans

Other Issues

For more information about project setup, license, application examples, and publications, please go to the EMMA website.

• Software Disclaimer

Contact

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

• Michel Dondrup
• Alexander Goesman
• Stefan Albaum
• Thasso Griebel
• Tim Kahlke
• Felix Tille

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File:EMMAWiki$emma cartoon by dkoch.png Cartoon by Daniel Koch, 2004

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

Author: Michael Dondrup