Asterias: Integrated analysis of expression and aCGH data using an open-source, web-based, parallelized software suite

Asterias (http://www.asterias.info) is an opensource, web-based, suite for the analysis of gene expression and aCGH data. Asterias implements validated statistical methods, and most of the applications use parallel computing, which permits taking advantage of multicore CPUs and computing clusters. A...

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Detalles Bibliográficos
Autores: Díaz Uriarte, Ramón, Alibés, Andreu, Morrissey, Edward R., Cañada, Andrés, Rueda, Oscar M., Neves, Mariana L.
Tipo de recurso: artículo
Fecha de publicación:2007
País:España
Institución:IAPH
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/670830
Acceso en línea:http://hdl.handle.net/10486/670830
https://dx.doi.org/10.1093/nar/gkm229
Access Level:acceso abierto
Palabra clave:Ontology terms
Web
Software.
Asterias
Biología y Biomedicina / Biología
Descripción
Sumario:Asterias (http://www.asterias.info) is an opensource, web-based, suite for the analysis of gene expression and aCGH data. Asterias implements validated statistical methods, and most of the applications use parallel computing, which permits taking advantage of multicore CPUs and computing clusters. Access to, and further analysis of, additional biological information and annotations (PubMed references, Gene Ontology terms, KEGG and Reactome pathways) are available either for individual genes (from clickable links in tables and figures) or sets of genes. These applications cover from array normalization to imputation and preprocessing, differential gene expression analysis, class and survival prediction and aCGH analysis. The source code is available, allowing for extention and reuse of the software. The links and analysis of additional functional information, parallelization of computation and open-source availability of the code make Asterias a unique suite that can exploit features specific to web-based environments