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Next station in microarray data analysis: GEPAS

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-...

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Autores principales: Montaner, David, 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
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538867/
https://www.ncbi.nlm.nih.gov/pubmed/16845056
http://dx.doi.org/10.1093/nar/gkl197
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author Montaner, David
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
author_facet Montaner, David
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
author_sort Montaner, David
collection PubMed
description 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 .
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spelling pubmed-15388672006-08-18 Next station in microarray data analysis: GEPAS Montaner, David 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 Nucleic Acids Res Article 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 . Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538867/ /pubmed/16845056 http://dx.doi.org/10.1093/nar/gkl197 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
spellingShingle Article
Montaner, David
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
Next station in microarray data analysis: GEPAS
title Next station in microarray data analysis: GEPAS
title_full Next station in microarray data analysis: GEPAS
title_fullStr Next station in microarray data analysis: GEPAS
title_full_unstemmed Next station in microarray data analysis: GEPAS
title_short Next station in microarray data analysis: GEPAS
title_sort next station in microarray data analysis: gepas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538867/
https://www.ncbi.nlm.nih.gov/pubmed/16845056
http://dx.doi.org/10.1093/nar/gkl197
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