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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-...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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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 . |
format | Text |
id | pubmed-1538867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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