Ultra-Structure database design methodology for managing systems biology data and analyses.

ABSTRACT:

Background

Modern, high-throughput biological experiments generate copious, heterogeneous, interconnected data sets. Research is dynamic, with frequently changing protocols, techniques, instruments, and file formats. Because of these factors, systems designed to manage and integrate modern biological data sets often end up as large, unwieldy databases that become difficult to maintain or evolve. The novel rule-based approach of the Ultra-Structure design methodology presents a potential solution to this problem. By representing both data and processes as formal rules within a database, an Ultra-Structure system constitutes a flexible framework that enables users to explicitly store domain knowledge in both a machine- and human-readable form. End users themselves can change the syst

SUBMITTER: Maier CW 

PROVIDER: S-EPMC2748085 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature