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

@article{citeulike:1287876, 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.}, address = {Statistical Computing Team, Structural and Computational Biology Programme, Spanish National Cancer Center (CNIO), Melchor Fern\'{a}ndez Almagro 3, Madrid, 28029, Spain.}, author = {Diaz-Uriarte, Ram\'{o}n and Alibes, Andreu and Morrissey, Edward R. R. and Ca\~{n}ada, Andr\'{e}s and Rueda, Oscar M. M. and Neves, Mariana L. L. }, citeulike-article-id = {1287876}, doi = {http://dx.doi.org/10.1093/nar/gkm229}, issn = {1362-4962}, journal = {Nucleic Acids Res}, keywords = {tools}, month = {May}, pages = {W75--W80}, posted-at = {2007-10-01 14:33:34}, priority = {0}, title = {Asterias: integrated analysis of expression and aCGH data using an open-source, web-based, parallelized software suite.}, url = {http://dx.doi.org/10.1093/nar/gkm229}, volume = {Web Server issue}, year = {2007} }

TY - JOUR ID - citeulike:1287876 L3 - citeulike-article-id:1287876 N2 - 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. JF - Nucleic Acids Res SN - 1362-4962 AD - Statistical Computing Team, Structural and Computational Biology Programme, Spanish National Cancer Center (CNIO), Melchor Fernández Almagro 3, Madrid, 28029, Spain. EP - W80 TI - Asterias: integrated analysis of expression and aCGH data using an open-source, web-based, parallelized software suite. VL - Web Server issue SP - W75 KW - tools AU - Diaz-Uriarte, Ramón AU - Alibes, Andreu AU - Morrissey, Edward AU - Cañada, Andrés AU - Rueda, Oscar AU - Neves, Mariana PY - 2007/05/08/ UR - http://dx.doi.org/10.1093/nar/gkm229 ER -