title: Computational representation of biological systems.
abstract: 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.
authors.affiliation: Department of Microbiology, University of Washington, Seattle, WA, USA.
authors.forename: Zach
authors.initials: Z
authors.lastname: Frazier
authors.forename: Jason
authors.initials: J
authors.lastname: McDermott
authors.forename: Michal
authors.initials: M
authors.lastname: Guerquin
authors.forename: Ram
authors.initials: R
authors.lastname: Samudrala
mesh_terms: D000465:Algorithms; D000818:Animals; D001686:Biological Phenomena / Q000502:physiology*; D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D006801:Humans; D008954:Models, Biological; D049490:Systems Biology / Q000379:methods*