Theory in Biosciences

, Volume 130, Issue 1, pp 45–54

Using views of Systems Biology Cloud: application for model building

Authors

  • Oliver Ruebenacker
    • Center for Cell Analysis and ModelingUniversity of Connecticut Health Center
    • Center for Cell Analysis and ModelingUniversity of Connecticut Health Center
Original Paper

DOI: 10.1007/s12064-010-0108-6

Cite this article as:
Ruebenacker, O. & Blinov, M. Theory Biosci. (2011) 130: 45. doi:10.1007/s12064-010-0108-6

Abstract

A large and growing network (“cloud”) of interlinked terms and records of items of Systems Biology knowledge is available from the web. These items include pathways, reactions, substances, literature references, organisms, and anatomy, all described in different data sets. Here, we discuss how the knowledge from the cloud can be molded into representations (views) useful for data visualization and modeling. We discuss methods to create and use various views relevant for visualization, modeling, and model annotations, while hiding irrelevant details without unacceptable loss or distortion. We show that views are compatible with understanding substances and processes as sets of microscopic compounds and events respectively, which allows the representation of specializations and generalizations as subsets and supersets respectively. We explain how these methods can be implemented based on the bridging ontology Systems Biological Pathway Exchange (SBPAX) in the Systems Biology Linker (SyBiL) we have developed.

Keywords

Data integration Systems Biology knowledge Modeling Semantic Web SBML BioPAX

Copyright information

© Springer-Verlag 2010