Title | ||
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SBEAMS-Microarray: database software supporting genomic expression analyses for systems biology. |
Abstract | ||
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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.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.SBEAMS-Microarray provides end-to-end support for genomic expression analyses for network-based systems biology research. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1186/1471-2105-7-286 | BMC Bioinformatics |
Keywords | Field | DocType |
bioinformatics,microarrays,systems biology,data type,algorithms,information extraction,management system,system biology,visual analysis,high throughput,gene expression profiling | Data mining,Computer science,Systems biology,Automation,Software,Information extraction,Data type,Computational biology,Bioinformatics,Microarray databases,Gene expression profiling,DNA microarray | Journal |
Volume | Issue | ISSN |
7 | 1 | 1471-2105 |
Citations | PageRank | References |
11 | 1.66 | 10 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bruz Marzolf | 1 | 22 | 2.94 |
Deutsch Eric W | 2 | 102 | 10.94 |
Patrick Moss | 3 | 11 | 1.66 |
David Campbell | 4 | 11 | 1.66 |
Michael H Johnson | 5 | 11 | 1.66 |
Timothy Galitski | 6 | 50 | 4.76 |