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ECB-ART-40215
Nucleic Acids Res 2007 Jul 01;35Web Server issue:W75-80. doi: 10.1093/nar/gkm229.
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Asterias: integrated analysis of expression and aCGH data using an open-source, web-based, parallelized software suite.

Díaz-Uriarte R , Alibés A , Morrissey ER , Cañada A , Rueda OM , Neves ML .


Abstract
Asterias (http://www.asterias.info) is an open-source, 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.

PubMed ID: 17488846
PMC ID: PMC1933128
Article link: Nucleic Acids Res


Genes referenced: LOC574921


Article Images: [+] show captions
References [+] :
Al-Shahrour, Discovering molecular functions significantly related to phenotypes by combining gene expression data and biological information. 2005, Pubmed