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

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 a...

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Autores principales: Tárraga, Joaquín, Medina, Ignacio, Carbonell, José, Huerta-Cepas, Jaime, Minguez, Pablo, Alloza, Eva, Al-Shahrour, Fátima, Vegas-Azcárate, Susana, Goetz, Stefan, Escobar, Pablo, Garcia-Garcia, Francisco, Conesa, Ana, Montaner, David, Dopazo, Joaquín
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447723/
https://www.ncbi.nlm.nih.gov/pubmed/18508806
http://dx.doi.org/10.1093/nar/gkn303
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author Tárraga, Joaquín
Medina, Ignacio
Carbonell, José
Huerta-Cepas, Jaime
Minguez, Pablo
Alloza, Eva
Al-Shahrour, Fátima
Vegas-Azcárate, Susana
Goetz, Stefan
Escobar, Pablo
Garcia-Garcia, Francisco
Conesa, Ana
Montaner, David
Dopazo, Joaquín
author_facet Tárraga, Joaquín
Medina, Ignacio
Carbonell, José
Huerta-Cepas, Jaime
Minguez, Pablo
Alloza, Eva
Al-Shahrour, Fátima
Vegas-Azcárate, Susana
Goetz, Stefan
Escobar, Pablo
Garcia-Garcia, Francisco
Conesa, Ana
Montaner, David
Dopazo, Joaquín
author_sort Tárraga, Joaquín
collection PubMed
description 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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spelling pubmed-24477232008-07-09 GEPAS, a web-based tool for microarray data analysis and interpretation Tárraga, Joaquín Medina, Ignacio Carbonell, José Huerta-Cepas, Jaime Minguez, Pablo Alloza, Eva Al-Shahrour, Fátima Vegas-Azcárate, Susana Goetz, Stefan Escobar, Pablo Garcia-Garcia, Francisco Conesa, Ana Montaner, David Dopazo, Joaquín Nucleic Acids Res Articles 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. Oxford University Press 2008-07-01 2008-05-28 /pmc/articles/PMC2447723/ /pubmed/18508806 http://dx.doi.org/10.1093/nar/gkn303 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ 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.
spellingShingle Articles
Tárraga, Joaquín
Medina, Ignacio
Carbonell, José
Huerta-Cepas, Jaime
Minguez, Pablo
Alloza, Eva
Al-Shahrour, Fátima
Vegas-Azcárate, Susana
Goetz, Stefan
Escobar, Pablo
Garcia-Garcia, Francisco
Conesa, Ana
Montaner, David
Dopazo, Joaquín
GEPAS, a web-based tool for microarray data analysis and interpretation
title GEPAS, a web-based tool for microarray data analysis and interpretation
title_full GEPAS, a web-based tool for microarray data analysis and interpretation
title_fullStr GEPAS, a web-based tool for microarray data analysis and interpretation
title_full_unstemmed GEPAS, a web-based tool for microarray data analysis and interpretation
title_short GEPAS, a web-based tool for microarray data analysis and interpretation
title_sort gepas, a web-based tool for microarray data analysis and interpretation
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447723/
https://www.ncbi.nlm.nih.gov/pubmed/18508806
http://dx.doi.org/10.1093/nar/gkn303
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