The Gaasterland Laboratory of Computational Genomics at The Rockefeller University aims to create and use new software tools to explore the unfolding world of genomes. The tools are designed to integrate, analyze, and visualize the output of high-throughput molecular biology experiments in the context of complete genome sequence data. In an effort to apply new tools to specific biological questions in the most efficient way possible, a prerequisite is a high performance storage solution that is easy to access and manage.
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Gaasterland Laboratory Simplifies Genomics Research with Panasas
1. Customer Success Story
Gaasterland Laboratory
“The system is blazingly
fast. We’ve been able to
Gaasterland Laboratory
eliminate our I/O bottleneck The Gaasterland Laboratory of Computational Genomics at The Rockefeller
and thus carry out data University aims to create and use new software tools to explore the
unfolding world of genomes. The tools are designed to integrate, analyze,
analysis more quickly.”
and visualize the output of high-throughput molecular biology experiments
Terry Gaasterland
in the context of complete genome sequence data. In an effort to apply
Associate Professor of
The Rockefeller University new tools to specific biological questions in the most efficient way
possible, a prerequisite is a high performance storage solution that is easy
to access and manage.
The Challenge network storage solutions. Finally, the
When the Gaasterland Laboratory system needed to be extremely reliable
started in 1998, Dr. Terry Gaasterland, and available to an extended community
Associate Professor of The Rockefeller outside the Lab.
University, initially speculated that
she would only need 500 GB of data The Solution
capacity. However, as the files to be During the evaluation process, Dr.
SUMMARY analyzed grew in number and size, she Gaasterland and her team entertained
Industry: Life Sciences quickly realized that she needed far solutions from IBM, Sun and Apple, but the
more storage. “Our data needs were Panasas® Storage system was selected
huge,” said Dr. Gaasterland. “The data for its performance, reliability and ease
THE CHALLENGE
sets were growing and changing all the of management. Having experience with
Explosive data storage had caused
time.” Not only were the number of data distributed file systems, Dr. Gaasterland
I/O bottlenecks, increasing the time
required to develop new software tools sets to test increasing, but as new tools knew that the Panasas Operating
used in molecular biology experiments. were developed, each tool would result Environment architecturally had the
Managing the storage system had capability to solve all their problems. The
in a new data set that needed to be
become a huge administrative burden
and it was disrupting productivity, stored and accessed for comparison to multi-TB solution was deployed to interact
increasing analysis time and posing data the original. Data growth was explosive with Apple and Sun desktop workstations.
availability problems. and managing these ever-changing data
sets was an administration burden. “Panasas met all the requirements on
THE SOLUTION my checklist,” said Dr. Gaasterland. “Even
The fully integrated software/hardware To attack this problem, Dr. Gaasterland though Panasas was relatively new, we felt
solution included the Panasas® set out to find a storage system to confident that they could provide not only
Operating Environment and the PanFS™
achieve three key objectives. First, the the product but the support necessary to
parallel file system with the Panasas
DirectFLOW® protocol. system had to scale seamlessly without meet all our needs.”
disruption to current users or mount
points. Second, it needed to provide fast The Result
THE RESULT
data throughput in order to reduce the In the six months after moving into
• Improved System Reliability
time necessary to analyze data. Genomic production, the Panasas Storage system
• Increased I/O Performance
data analysis is I/O bound and the new was everything the team expected and
• Exceptional Ease of management
storage solution should eliminate the I/O more. “The system is blazingly fast,”
bottleneck traditionally experienced with said Gaasterland. “We’ve been able
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