Data Management for High-Throughput Genomics

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Provided by: University of Swaziland
Topic: Data Management
Format: PDF
Today's sequencing technology allows sequencing an individual genome within a few weeks for a fraction of the costs of the original Human Genome project. Genomics labs are faced with dozens of TB of data per week that have to be automatically processed and made available to scientists for further analysis. This paper explores the potential and the limitations of using relational database systems as the data processing platform for high-throughput genomics. In particular, the authors are interested in the storage management for high-throughput sequence data and in leveraging SQL and user-defined functions for data analysis inside a database system.
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