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.

• /TermsAndConcepts
  • For Users
  • For Developers

Documentation

• /CoreDocumentation (Documentation of the main backend functionality and executable scripts)
• /UserManual (Documentation on the use of the web-interface)
  • /WebDocumentation
  • QuickStart Documentation (PDF)
• /DeveloperDocumentation
  • GettingStarted
• /AdministratorDocumentation (Installation, project configuration and account management)
  • SoftwareRequirements
  • HardwareRequirements
  • InstallationInstructions
  • ProjectSetup
• /FAQs
• /HowTos

General

• /FeatureTable
• /FuturePlans

Other Issues

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

• /SoftwareDisclaimer

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