Next station in microarray data analysis: GEPAS | Zendy

David Montaner | Zendy; Joaquín Tárraga | Zendy; Jaime HuertaCepas | Zendy; J. Burguet–Castell | Zendy; Juan M. Vaquerizas | Zendy; Lucía Conde | Zendy; Pablo Mínguez | Zendy; Julio Vera | Zendy; Sumanta Mukherjee | Zendy; Joan Valls | Zendy; Miguel Ángel Pujana | Zendy; Eva Alloza | Zendy; Javier Herrero | Zendy; Fátima AlShahrour | Zendy; Joaquı́n Dopazo | Zendy

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Next station in microarray data analysis: GEPAS

Author(s) -

David Montaner,

Joaquín Tárraga,

Jaime HuertaCepas,

J. Burguet–Castell,

Juan M. Vaquerizas,

Lucía Conde,

Pablo Mínguez,

Julio Vera,

Sumanta Mukherjee,

Joan Valls,

Miguel Ángel Pujana,

Eva Alloza,

Javier Herrero,

Fátima AlShahrour,

Joaquı́n Dopazo

Publication year - 2006

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/gkl197

Subject(s) - biology , microarray databases , microarray analysis techniques , preprocessor , computational biology , gene chip analysis , cluster analysis , normalization (sociology) , gene expression profiling , pipeline (software) , bioinformatics , microarray , data mining , computer science , gene , gene expression , genetics , artificial intelligence , sociology , anthropology , programming language

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.

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