title: SBEAMS-Microarray: database software supporting genomic expression analyses for systems biology.
abstract: 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.
  
  
  CONCLUSIONS
  SBEAMS-Microarray provides end-to-end support for genomic expression analyses for network-based systems biology research.
authors.affiliation: Institute for Systems Biology, 1441 N, 34th Street, Seattle, Washington, USA. bmarzolf@systemsbiology.org
authors.forename: Bruz
authors.initials: B
authors.lastname: Marzolf
authors.forename: Eric W
authors.initials: EW
authors.lastname: Deutsch
authors.forename: Patrick
authors.initials: P
authors.lastname: Moss
authors.forename: David
authors.initials: D
authors.lastname: Campbell
authors.forename: Michael H
authors.initials: MH
authors.lastname: Johnson
authors.forename: Timothy
authors.initials: T
authors.lastname: Galitski
mesh_terms: D002874:Chromosome Mapping / Q000379:methods*; D030562:Databases, Protein; D020869:Gene Expression Profiling / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software; D049490:Systems Biology / Q000379:methods*; D014584:User-Computer Interface