Asterias: Integrated analysis of expression and aCGH data using an open-source, web-based, parallelized software suite
Entity
UAM. Departamento de BioquímicaPublisher
Oxford University PressDate
2007-07-01Citation
10.1093/nar/gkm229
Nucleic Acids Research 35.SUPPL2 (2997): W75-W80
ISSN
0305-1048 (print); 1362-4962 (on line)DOI
10.1093/nar/gkm229Funded by
Funding was provided by Fundación de Investigación Médica Mutua Madrileña and Project TIC2003-09331- C02-02 of the Spanish Ministry of Education and Science (MEC). R.D.U. is partially supported by the Ramón y Cajal programme of the Spanish MEC. Applications are running on clusters of machines purchased with funds from the RTICCC from the Spanish FIS. Funding to pay the Open Access publication charges for this article was provided by the Fundación de Investigación Médica Mutua MadrileñaProject
Gobierno de España. TIC2003-09331- C02-02Editor's Version
http://dx.doi.org/10.1093/nar/gkm229Subjects
Ontology terms; Web; Software.; Asterias; Biología y Biomedicina / BiologíaRights
© 2007 The Author(s)Abstract
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
Files in this item
Google Scholar:Díaz Uriarte, Ramón
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Alibés, Andreu
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Morrissey, Edward R.
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Cañada, Andrés
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Rueda, Oscar M.
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Neves, Mariana L.
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