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PMID: 16845056 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Next station in microarray data analysis: GEPAS.

Nucleic acids research ·Vol. 34 ·No. Web Server issue ·2006-07-01 ·Pages W486-91

Montaner D, Tárraga J, Huerta-Cepas J, Burguet J, Vaquerizas JM, Conde L, Minguez P, Vera J, Mukherjee S, Valls J, Pujana MA, Alloza E, Herrero J, Al-Shahrour F, Dopazo J

Abstract

The Gene Expression Profile Analysis Suite (GEPAS) has been running for more than four years. During this time it has evolved to keep pace with the new interests and trends in the still changing world of microarray data analysis. GEPAS has been designed to provide an intuitive although powerful web-based interface that offers diverse analysis options from the early step of preprocessing (normalization of Affymetrix and two-colour microarray experiments and other preprocessing options), to the final step of the functional annotation of the experiment (using Gene Ontology, pathways, PubMed abstracts etc.), and include different possibilities for clustering, gene selection, class prediction and array-comparative genomic hybridization management. GEPAS is extensively used by researchers of many countries and its records indicate an average usage rate of 400 experiments per day. The web-based pipeline for microarray gene expression data, GEPAS, is available at http://www.gepas.org.

MeSH Terms
Cluster Analysis Gene Expression Profiling/methods Internet Oligonucleotide Array Sequence Analysis/methods Polymorphism, Genetic Software User-Computer Interface
Authors & Affiliations
15 authors, click to expand affiliations / ORCID
Montaner David
Bioinformatics Department, Centro de Investigación Príncipe Felipe, Autopista del Saler 16, E46013, Valencia, Spain.
Tárraga Joaquín
Huerta-Cepas Jaime
Burguet Jordi
Vaquerizas Juan M
Conde Lucía
Minguez Pablo
Vera Javier
Mukherjee Sach
Valls Joan
Pujana Miguel A G
Alloza Eva
Herrero Javier
Al-Shahrour Fátima
Dopazo Joaquín
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
DOI
10.1093/nar/gkl197
Published
2006-07-01
Pages
W486-91
Language
English
Region
England
NLM ID
0411011
PMCID
PMC1538867
Subset
IM
External Links
PubMed source DOI: 10.1093/nar/gkl197 PMC Full Text View journal details
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