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

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

Apa Reference Diaz-Uriarte, R., Alibes, A., Morrissey, E. R., Canada, A., Rueda, O. M., & Neves, M. L. (2007). Asterias: integrated analysis of expression and aCGH data using an open-source, web-based, parallelized software suite. Nucleic Acids Research, 35(Web Server), W75–W80. 10.1093/nar/gkm229
Doi 10.1093/nar/gkm229
Publication Date 8 May 2007
Publication Type Software
Researcher Ramon Díaz Uriarte
Ontology Transcriptomics, Bioinformatics Software and Tools, Functional annotation, Function prediction, Expression Profiling, High-performance Computing, Parallel Computing, Statistical Methods for Biology, Pathway analysis, Biological Ontologies
Research Groups Bioinformatics and Computational Biology in Cancer Evolution
Tools Tnasas

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