By combining high-speed data sharing and cost-effective content retention in a single solution, StorNext has enabled our researchers to access the data they need quickly and easily and eliminated the significant management overhead we incurred with our legacy system.

Geraint Morgan
Director of Information Systems, Baylor College of Medicine

StorNext has the right DNA for the job

3 Billion DNA Parts? No Problem for StorNext

There are few tasks more data-intensive than sequencing the 3 billion chemical building blocks that make up the DNA of the 24 different human chromosomes. Managing that data was a frustrating challenge until the Baylor College of Medicine’s Human Genome Sequencing Center (HGSC) deployed Quantum’s StorNext. The result: Cost-effective data management with instantaneous shared access to huge volumes of research content. 

Too Much Data for Legacy System Capacity

As one of three U.S. centers driving research about genetic influences on disease, HGSC has dozens of scientists who analyze DNA sequencing data. With high volumes of data generated daily and the need for hundreds of terabytes to be accessible for analysis at any time, HGSC’s piecemeal technology infrastructure was becoming a barrier to important research.

By 2008 when Geraint Morgan was named Director of Information Systems, the volume of data was already straining HGSC’s storage capabilities and was expected to grow by 20 petabytes over the next two years. In addition, there was the challenge of centrally managing a complex heterogeneous environment of servers, networks, and storage technology.

StorNext a Proven Winner with Big Data

Morgan quickly found that one name kept coming up when he looked at what other companies with big-data challenges were doing: Quantum’s StorNext.

“StorNext offered the scalability we needed, support for existing storage hardware with no significant investment needed for additional hardware, and an easy-to-manage system,” says Morgan.

HGSC purchased both the StorNext File System and Storage Manager to enable file sharing across multiple operating environments and automated data movement across storage tiers.

Today, following the ingest of data on the local genome scanner devices, the data is copied to a centralized StorNext File System. Multiple genome analysis applications run on top of the StorNext Distributed LAN Client, which connects to the centralized storage to process the data in parallel. StorNext Storage Manager automatically moves data between different disk systems and a Quantum Scalar tape library, thereby protecting content at lower costs.

Since deploying StorNext, Morgan has been very pleased with the benefits.

“Because of the nature of genomics research— where data generated today might not have obvious value but could lead to important discoveries in the future—we preserve all the data generated at HGSC,” says Morgan. “This creates an ever-growing archive, and StorNext will play a critical role in helping us to manage this growth. The exponential data growth is also one of the reasons we plan to leverage the data deduplication feature offered through StorNext—it will enable us to optimize the amount of storage capacity needed for archiving.”

Products Used

Key Benefits

  • Enables simultaneous access to huge volumes of data without impacting system users
  • Provides cost-effective content creation through automated data management
  • Allows centralized management of heterogeneous environment
  • Protects prior investments by integrating legacy resources
  • Provides scalable foundation to meet anticipated storage growth of up to 20PB over next 2-3 years

About the Human Genome Sequencing Center

Baylor College of Medicine’s Human Genome Sequencing Center, founded in 1996, is a world leader in genomics. The fundamental interest of the HGSC is advancing biology and genetics by improved genome technologies. One of three large-scale sequencing centers funded by the National Institutes of Health, the HGSC’s location at the heart of the Texas Medical Center provides a unique opportunity to apply the cutting edge of genome technologies in science and medicine.