Skip Navigation


Nucleic Acids Research Advance Access originally published online on May 28, 2008
Nucleic Acids Research 2008 36(Web Server issue):W308-W314; doi:10.1093/nar/gkn303
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (1703K) Freely available
Right arrow Screen PDF (291K) Freely available
Right arrowOA All Versions of this Article:
36/suppl_2/W308    most recent
gkn303v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Tárraga, J.
Right arrow Articles by Dopazo, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Tárraga, J.
Right arrow Articles by Dopazo, J.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nucleic Acids Research, 2008, Vol. 36, No. suppl_2 W308-W314
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Articles

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

Joaquín Tárraga1,2, Ignacio Medina1,3, José Carbonell1, Jaime Huerta-Cepas1,2, Pablo Minguez1,3, Eva Alloza1, Fátima Al-Shahrour1, Susana Vegas-Azcárate4, Stefan Goetz1,3, Pablo Escobar1, Francisco Garcia-Garcia1,2, Ana Conesa1, David Montaner1,2 and Joaquín Dopazo1,2,3,*

1Bioinformatics Department, Centro de Investigación Príncipe Felipe (CIPF), Autopista del Saler 16, E46013, 2Functional Genomics Node, INB, CIPF, Autopista del Saler 16, E46013, 3Center for Biomedical Research on Rare Diseases (CIBERER), CIPF, Autopista del Saler 16, E46013, Valencia and 4Department of Statistics, Universidad Carlos III, E28903, Madrid, Spain

*To whom correspondence should be addressed. Tel: +34 96 328 96 80; Fax: +34 96 328 97 01; Email: jdopazo{at}cipf.es

Received January 31, 2008. Revised April 29, 2008. Accepted April 30, 2008.

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.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
BioinformaticsHome page
X.-Q. Xia, M. McClelland, S. Porwollik, W. Song, X. Cong, and Y. Wang
WebArrayDB: cross-platform microarray data analysis and public data repository
Bioinformatics, September 15, 2009; 25(18): 2425 - 2429.
[Abstract] [Full Text] [PDF]


Home page
CSH ProtocolsHome page
Y. Wang, M. McClelland, and X.-Q. Xia
Analyzing Microarray Data Using WebArray
CSH Protocols, August 1, 2009; 2009(8): pdb.prot5260 - pdb.prot5260.
[Abstract] [Full Text]


Home page
Nucleic Acids ResHome page
E. R. Morrissey and R. Diaz-Uriarte
Pomelo II: finding differentially expressed genes
Nucleic Acids Res., July 1, 2009; 37(suppl_2): W581 - W586.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.