Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.
New challenges in gene expression data analysis and the extended GEPAS
dc.contributor.author | Herrero, Javier | |
dc.contributor.author | Vaquerizas, Juan M. | |
dc.contributor.author | Al-Shahrour, Fátima | |
dc.contributor.author | Conde, Lucía | |
dc.contributor.author | Mateos, Álvaro | |
dc.contributor.author | Díaz Uriarte, Ramón | |
dc.contributor.author | Dopazo, Joaquín | |
dc.contributor.other | UAM. Departamento de Bioquímica | es_ES |
dc.date.accessioned | 2017-06-09T15:39:07Z | |
dc.date.available | 2017-06-09T15:39:07Z | |
dc.date.issued | 2004-07-01 | |
dc.identifier.citation | Nucleic Acids Research 32.Web Server issue (2004): W485–W491 | en_US |
dc.identifier.issn | 0305-1048 (print) | es_ES |
dc.identifier.issn | 1362-4962 (online) | es_ES |
dc.identifier.uri | http://hdl.handle.net/10486/678558 | |
dc.description.abstract | Since the first papers published in the late nineties, including, for the first time, a comprehensive analysis of microarray data, the number of questions that have been addressed through this technique have both increased and diversified. Initially, interest focussed on genes coexpressing across sets of experimental conditions, implying, essentially, the use of clustering techniques. Recently, however, interest has focussed more on finding genes differentially expressed among distinct classes of experiments, or correlated to diverse clinical outcomes, as well as in building predictors. In addition to this, the availability of accurate genomic data and the recent implementation of CGH arrays has made mapping expression and genomic data on the chromosomes possible. There is also a clear demand for methods that allow the automatic transfer of biological information to the results of microarray experiments. Different initiatives, such as the Gene Ontology (GO) consortium, pathways databases, protein functional motifs, etc., provide curated annotations for genes. Whereas many resources on the web focus mainly on clustering methods, GEPAS has evolved to cope with the aforementioned new challenges that have recently arisen in the field of microarray data analysis. The web-based pipeline for microarray gene expression data, GEPAS, is available at http://gepas.bioinfo.cnio.es. © Oxford University Press 2004; all rights reserved. | en_US |
dc.description.sponsorship | F.A. is supported by grant BIO2001-0068 from MCyT, A.M. is supported by an IBM fellowship. L.C. is supported by a fellowship from the FIS (grant PI020919). R.D.U. is supported by a Ramón y Cajal research contract from the MCyT. This work is partly supported by grants from Fundación Ramón Areces and Fundació La Caixa. | en_US |
dc.format.extent | 7 pag. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Oxford University Press | en_US |
dc.relation.ispartof | Nucleic Acids Research | en_US |
dc.rights | © 2004 the authors | es_ES |
dc.subject.other | Analysis | en_US |
dc.subject.other | Data | en_US |
dc.subject.other | Genes | en_US |
dc.subject.other | Expression | en_US |
dc.subject.other | GEPAS | en_US |
dc.title | New challenges in gene expression data analysis and the extended GEPAS | en_US |
dc.type | article | en |
dc.subject.eciencia | Medicina | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1093/nar/gkh421 | es_ES |
dc.identifier.doi | 10.1093/nar/gkh421 | es_ES |
dc.identifier.publicationfirstpage | W485 | es_ES |
dc.identifier.publicationissue | Web Server issue | en_US |
dc.identifier.publicationlastpage | W491 | es_ES |
dc.identifier.publicationvolume | 32 | es_ES |
dc.relation.projectID | Gobierno de España. BIO2001-0068 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | en |
dc.rights.accessRights | openAccess | en |
dc.facultadUAM | Facultad de Medicina |