Dramatic declines in the cost and run times for genome sequencing are enabling life sciences researchers to do more, faster. But these advances come with a cost—data growth that quickly outpaces existing storage infrastructure. To accelerate discovery, scientists need intelligent data management throughout the entire life sciences workflow—from data capture to analysis to archive and beyond.
As life sciences technologies continue to advance, organizations need to analyze larger amounts of data faster. High-speed storage that scales—affordably—will keep data in the hands of clinicians and researchers to drive innovation.
Research doesn’t happen in a vacuum. To stay productive, distributed genomics teams need the performance and access to work on the same data at the same time from wherever they might be. Improved collaboration means faster discovery.
Creating Efficient Workflows
Life science workflows are demanding. And because the results change lives, efficiency is key. To improve time to discovery, teams need storage that integrates seamlessly into their workflows—from sequencing to analysis to medical imaging.
Keeping Data for Decades
With studies extending decades or more, life sciences teams need to keep data on hand indefinitely while making it easy to access. Extended online storage at massive scale lets organizations preserve data for the long term—even forever.
Secrets to Accelerating
Discovery with Storage
Life sciences workflows put a lot of strain on storage infrastructure. Distributed bioinformatics teams need high-speed access to NGS data while imaging scientists are doing complex analysis on PACS DICOM data. And all of it needs to be kept available for long-term study—often for decades.
Fortunately there is a different approach to storage that can accelerate discovery. Learn how tiered storage and object storage from Quantum can help scientists turn genomics, bioinformatics, and medical imaging data into knowledge.
Storage Built for the Challenges of Genomics and Medical Imaging
Scientists care most about the “life” in “life sciences”—but they need the right infrastructure to manage growing libraries of genomics and medical imaging data. How can life sciences organizations get ahead of data growth and stay productive?
StorNext tiered storage and Lattus object storage are ideal for NGS and medical imaging data, with the flexibility to start small and scale out as needed—supporting tens, hundreds, or thousands of users. StorNext and Lattus can support billions of files and fit seamlessly into life sciences workflows.
Faster, more precise, and less invasive medical imaging is changing healthcare. Breakthrough levels of detail in functional MRIs have even given researchers the ability to directly observe brain functions as they happen.
Clinicians and researchers today expect high-speed access to their medical imaging repositories—even as the repositories reach petascale levels. Learn how the right tiered storage technology is helping the National Institutes of Health analyze everything from cancer to the common cold.
The Korea Polar Research Institute braves one of the harshest environments on the planet to explore climate change and the origins of life. But complex research means a lot of data, with downstream analysis generating as much as 100x more data than the initial sequencing runs.
StorNext enables bioinformaticians to understand and analyze life in polar environments—while also preserving the critical genomics data for future study.