Cloud Genomics Data Storage

Cloud data storage for genomics and life sciences

Analyze the genetic components of complex diseases with Dell Technologies Cloud Storage for Multi-Cloud, powered by Faction.

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How genomics and life sciences benefits from cloud data storage

Analyzing DNA creates huge data sets. If you were to type the human genome letter-for-letter, you’d have a stack of paper as tall as the Statue of Liberty. These data sets require fast processing to solve complex healthcare issues that can save or improve lives. Cloud genomics solutions can accelerate time-to-insight for a range of applications, including clinical genomic sequencing, drug design, and cancer research. Cloud-based artificial intelligence (AI) and analytics tools can be used to help doctors identify and locate diseases faster by processing and analyzing the genome files.

The flexibility of multi-cloud tools layered over cloud-adjacent Big Data lakes makes these life-altering analytics possible in shorter amounts of time, with less complexity and reduced management overhead.

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Value for life sciences and researchers

Speed up diagnosis and pattern recognition

Hospitals can store and organize Picture Archiving and Communication System (PACS) data in a centralized location, accessible by all clouds simultaneously. This allows teams to use cutting-edge AI tools from their cloud of choice to analyze medical images that could lead to early diagnosis of life-threatening issues.

Accelerate research and time-to-insight

Geographically dispersed researchers around the world can share and access the same datasets with on-demand, scalable cloud compute resources. This can reduce migration time and optimize fund allocation from research grants.

Boost regulatory compliance

Maintaining ownership of data improves regulatory compliance and protects IP, especially as it pertains to personal identifying information (PII), protected health information (PHI), and regulated medical and personal records.

How It Works

Data is generated by next-gen DNA sequencers that run on-premises or in hosted locations around the globe.

Using high-performance GPU instances in the cloud of choice, genome sample files are processed to create actionable information.

Data is captured and stored in a scalable data warehouse for further analysis.

Cloud services like AI and Machine Learning from any cloud can now be used to analyze the data warehouse to drive actionable insights.

Characteristics of Data Warehouses

Data is stored in a geo-adjacent datacenter, connected to the cloud over high-speed connections, giving you a centralized data lake with a single set of data accessible from everywhere.

Simultaneous access from any cloud drives a flexible selection of cloud tools that are familiar to your developers or data scientists, compressing the time needed to deliver insights.

Resources

Genomics Data Sheet

Use multi-cloud to unravel the genetic components of complex diseases.

Whitepaper: Performance Testing for Genomics Workloads on Azure

Third-party validated testing of ultra-high performance for some of the most demanding workloads, including large-capacity, high-performance applications like Genomics analysis.

Interactive Demo: Dell Cloud Storage Services for Multi-cloud with Faction

Storage for multi-cloud delivers scalable, resilient Cloud-attached storage with flexible multi-cloud access.

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