DocumentCode
2194057
Title
An Extensible, Scalable Architecture for Managing Bioinformatics Data and Analyses
Author
Shah, Anuj R. ; Singhal, Mudita ; Gibson, Tara D. ; Sivaramakrishnan, Chandrika ; Waters, Katrina M. ; Gorton, Ian
Author_Institution
Pacific Northwest Nat. Lab., Richland, WA, USA
fYear
2008
fDate
7-12 Dec. 2008
Firstpage
190
Lastpage
197
Abstract
Systems biology research demands the availability of tools and technologies that span a comprehensive range of computational capabilities, including data management, transfer, processing, integration, and interpretation. To address these needs, we have created the bioinformatics resource manager (BRM), a scalable, flexible, and easy to use tool for biologists to undertake complex analyses. This paper describes the underlying software architecture of the BRM that integrates multiple commodity platforms to provide a highly extensible and scalable software infrastructure for bioinformatics. The architecture integrates a J2EE 3-tier application with an archival experimental data management system, the GAGGLE framework for desktop tool integration, and the MeDICi integration framework for high-throughput data analysis workflows. This architecture facilitates a systems biology software solution that enables the entire spectrum of scientific activities, from experimental data access to high throughput processing and analysis of data for biologists and experimental scientists.
Keywords
Java; bioinformatics; data analysis; database management systems; information retrieval systems; middleware; resource allocation; software architecture; GAGGLE framework; J2EE 3-tier application; MeDICi middleware integration framework; bioinformatics data management architecture; bioinformatics resource manager; desktop tool integration; experimental data management system archive; high-throughput data analysis workflow; multiple commodity platform; software architecture; systems biology software solution; Application software; Availability; Bioinformatics; Biology computing; Computer architecture; Data analysis; Resource management; Software architecture; Systems biology; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location
Indianapolis, IN
Print_ISBN
978-1-4244-3380-3
Electronic_ISBN
978-0-7695-3535-7
Type
conf
DOI
10.1109/eScience.2008.69
Filename
4736757
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