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. 2008 Jul 1;36(Web Server issue):W308-14.
doi: 10.1093/nar/gkn303. Epub 2008 May 28.

GEPAS, a web-based tool for microarray data analysis and interpretation

Joaquín Tárraga  1 , Ignacio Medina, José Carbonell, Jaime Huerta-Cepas, Pablo Minguez, Eva Alloza, Fátima Al-Shahrour, Susana Vegas-Azcárate, Stefan Goetz, Pablo Escobar, Francisco Garcia-Garcia, Ana Conesa, David Montaner, Joaquín Dopazo
Affiliations

GEPAS, a web-based tool for microarray data analysis and interpretation

Joaquín Tárraga et al. Nucleic Acids Res. .

Abstract

Gene Expression Profile Analysis Suite (GEPAS) is one of the most complete and extensively used web-based packages for microarray data analysis. During its more than 5 years of activity it has continuously been updated to keep pace with the state-of-the-art in the changing microarray data analysis arena. GEPAS offers diverse analysis options that include well established as well as novel algorithms for normalization, gene selection, class prediction, clustering and functional profiling of the experiment. New options for time-course (or dose-response) experiments, microarray-based class prediction, new clustering methods and new tests for differential expression have been included. The new pipeliner module allows automating the execution of sequential analysis steps by means of a simple but powerful graphic interface. An extensive re-engineering of GEPAS has been carried out which includes the use of web services and Web 2.0 technology features, a new user interface with persistent sessions and a new extended database of gene identifiers. GEPAS is nowadays the most quoted web tool in its field and it is extensively used by researchers of many countries and its records indicate an average usage rate of 500 experiments per day. GEPAS, is available at http://www.gepas.org.

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Figures

Figure 1.
Figure 1.
The pipeliner interface with the available modules on the left and the customization options window below. Modules can be dragged and dropped on the screen and the sequence of execution is defined by linking them. Clicking on a module brings about the corresponding parameters’ window below. Workflows defined in this straightforward manner can be stored in the session manager and used in future sessions.
See this image and copyright information in PMC

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