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, we are interested in the storage management for high-throughput
sequence data and in leveraging SQL and user-defined func