MAGMA -- analysis of two-channel microarrays made easy

URL:

http://www.fgcz.ch/research/magma

What you can do:

Identify differentially expressed genes from two-channel microarray data.

Highlights:

The user interface guides the novice user through the most typical microarray analysis workflow consisting of data upload, annotation, normalization and statistical analysis.
It automatically generates R-scripts that document MAGMA's entire data processing steps, thereby allowing the user to regenerate all results in his local R installation.
The implementation of MAGMA follows the model-view-controller design pattern that strictly separates the R-based statistical data processing, the web-representation and the application logic.
This modular design makes the application flexible and easily extendible by experts in one of the fields: statistical microarray analysis, web design or software development.
State-of-the-art Java Server Faces technology was used to generate the web interface and to perform user input processing.
MAGMA's object-oriented modular framework makes it easily extendible and applicable to other fields and demonstrates that modern Java technology is also suitable for rather small and concise academic projects.

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This record last updated: 04-21-2014