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

被引：13

作者：

Diaz-Uriarte, Ramo ^{[1
]}

Alibes, Andreu ^{[1
]}

Morrissey, Edward R. ^{[1
]}

Canada, Andres ^{[1
]}

Rueda, Oscar M. ^{[1
]}

Neves, Mariana L. ^{[1
]}

机构：

[1] Spanish Natl Canc Ctr CNIO, Stat Comp Team, Struct & Computat Biol Programme, Madrid, Spain

来源：

NUCLEIC ACIDS RESEARCH | 2007年 / 35卷

关键词：

D O I：

10.1093/nar/gkm229

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 [生物化学与分子生物学]; 081704 [应用化学];

摘要：

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.

引用

页码：W75 / W80

页数：6

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