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.
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.
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.
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.
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