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SBEAMS-Microarray: database software supporting genomic expression analyses for systems biology

BACKGROUND: The biological information in genomic expression data can be understood, and computationally extracted, in the context of systems of interacting molecules. The automation of this information extraction requires high throughput management and analysis of genomic expression data, and integ...

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Detalles Bibliográficos
Autores principales: Marzolf, Bruz, Deutsch, Eric W, Moss, Patrick, Campbell, David, Johnson, Michael H, Galitski, Timothy
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1524999/
https://www.ncbi.nlm.nih.gov/pubmed/16756676
http://dx.doi.org/10.1186/1471-2105-7-286
Descripción
Sumario:BACKGROUND: The biological information in genomic expression data can be understood, and computationally extracted, in the context of systems of interacting molecules. The automation of this information extraction requires high throughput management and analysis of genomic expression data, and integration of these data with other data types. RESULTS: SBEAMS-Microarray, a module of the open-source Systems Biology Experiment Analysis Management System (SBEAMS), enables MIAME-compliant storage, management, analysis, and integration of high-throughput genomic expression data. It is interoperable with the Cytoscape network integration, visualization, analysis, and modeling software platform. CONCLUSION: SBEAMS-Microarray provides end-to-end support for genomic expression analyses for network-based systems biology research.