SpringerProtocols: Abstract: Computational Representation of Biological Systems

23. Computational Representation of Biological Systems

By: Zach Frazier⁶, Jason McDermott⁷, Michal Guerquin⁶, Ram Samudrala⁶

Abstract

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Integration of large and diverse biological data sets is a daunting problem facing systems biology researchers. Exploring the complex issues of data validation, integration, and representation, we present a systematic approach for the management and analysis of large biological data sets based on data warehouses. Our system has been implemented in the Bioverse, a framework combining diverse protein information from a variety of knowledge areas such as molecular interactions, pathway localization, protein structure, and protein function.

Affiliation(s): (6) Department of Microbiology, University of Washington, Seattle, WA, USA
(7) Computational Biology and Bioinformatics, Pacific Northwest National Laboratory, Richland, WA, USA

Book Title: Computational Systems Biology

Series: Methods in Molecular Biology | Volume: 541 | Pub. Date: Jul-01-2008 | Page Range: 1-15 | DOI: 10.1007/978-1-59745-243-4_23

Subject: Bioinformatics

Key Words: Bioverse - data integration - molecular interactions - protein structure - protein function - data warehouse - database - bioinformatics

References

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