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- W2079207310 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." @default.
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- W2079207310 date "2011-09-29" @default.
- W2079207310 modified "2023-09-26" @default.
- W2079207310 title "Protein simulation data in the relational model" @default.
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- W2079207310 doi "https://doi.org/10.1007/s11227-011-0692-3" @default.
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