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The Journal of Supercomputing

, Volume 62, Issue 1, pp 150–173 | Cite as

Protein simulation data in the relational model

  • Andrew M. Simms
  • Valerie Daggett
Article

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, multidimensional, 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.

Keywords

Data warehouse Relational database 

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Biomedical and Health Informatics ProgramUniversity of WashingtonSeattleUSA
  2. 2.BioengineeringUniversity of WashingtonSeattleUSA

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