[White Paper] Going Beyond Commodity Cloud Services for Data-Intensive Genomic Applications
Lab 7 High-Performance Genomic Cloud Powered by IBM
As large genomic labs become even more data intensive and collaborative efforts become more geographically diverse, utilizing the cloud for analysis and storage of data is becoming advantageous over using on-premises compute resources. With the size of genomic datasets, the long-term costs associated with commodity cloud solutions such as Amazon are simply not sustainable and their infrastructures are not optimized to efficiently handle genomic-scale workloads.
This white paper explores how a high performance computing system for genomic research paired with IBM Bluemix infrastructure cloud to provision optimized resources for storage, computing, and networking components that are designed from the start to efficiently manage and handle genomic-scale data.