title: Protein Simulation Data in the Relational Model.
abstract: High performance computing is leading to unprecedented volumes of data. Relational databases offer a robust and scalable model for storing and analyzing scientific data. However, these features do not come without a cost-significant design effort is required to build a functional and efficient repository. Modeling protein simulation data in a relational database presents several challenges: the data captured from individual simulations are large, multi-dimensional, and must integrate with both simulation software and external data sites. Here we present the dimensional design and relational implementation of a comprehensive data warehouse for storing and analyzing molecular dynamics simulations using SQL Server.
authors.affiliation: Biomedical and Health Informatics Program, University of Washington, Box 355013, Seattle, WA 98195-5013.
authors.forename: Andrew M
authors.initials: AM
authors.lastname: Simms
authors.forename: Valerie
authors.initials: V
authors.lastname: Daggett