Data Management for High-Throughput Genomics

Details Data Management for High-Throughput Genomics Data Management for High-Throughput Genomics

2009-09-09

arxiv.org/abs/0909.1764v1

Computer Science

Databases

CIDR 2009

Scientific paper

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 functions for data analysis inside a database system. We give an overview of a database design for high-throughput genomics, how we used a SQL Server database in some unconventional ways to prototype this scenario, and we will discuss some initial findings about the scalability and performance of such a more database-centric approach.

Affiliated with

Also associated with

No associations

Rating

Data Management for High-Throughput Genomics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Data Management for High-Throughput Genomics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Data Management for High-Throughput Genomics will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-386645