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Pomelo II: finding differentially expressed genes.
Morrissey, Edward R; Diaz-Uriarte, Ramón.
Afiliación
  • Morrissey ER; Structural and Computational Biology Programme, Spanish National Cancer Center (CNIO), Melchor FernA!ndez Almagro 3, Madrid, 28029, Spain.
Nucleic Acids Res ; 37(Web Server issue): W581-6, 2009 Jul.
Article en En | MEDLINE | ID: mdl-19435879
ABSTRACT
Pomelo II (http//pomelo2.bioinfo.cnio.es) is an open-source, web-based, freely available tool for the analysis of gene (and protein) expression and tissue array data. Pomelo II implements permutation-based tests for class comparisons (t-test, ANOVA) and regression; survival analysis using Cox model; contingency table analysis with Fisher's exact test; linear models (of which t-test and ANOVA are especial cases) that allow additional covariates for complex experimental designs and use empirical Bayes moderated statistics. Permutation-based and Cox model analysis 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. The source code is available, allowing for extending and reusing the software. A comprehensive test suite is also available, and covers both the user interface and the numerical results. The possibility of including additional covariates, parallelization of computation, open-source availability of the code and comprehensive testing suite make Pomelo II a unique tool.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Perfilación de la Expresión Génica Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2009 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Perfilación de la Expresión Génica Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2009 Tipo del documento: Article País de afiliación: España