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Asterias

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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.

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Asterias classification

Asterias specifications

Interface:
Web user interface
Computer skills:
Basic
Maintained:
Yes
Restrictions to use:
None
Stability:
Stable

Asterias distribution

Asterias support

Maintainer

  • Ramon Diaz-Uriarte <>

Credits

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Publications

Institution(s)

Statistical Computing Team, Structural and Computational Biology Programme, Spanish National Cancer Center (CNIO), Madrid, Spain

Link to literature

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