July 23, 2017

Resources

[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.

 

White Papers and eBooks

FIVE STRATEGIES TO IMPROVE THE EFFICIENCY OF YOUR LAB WITH A FULLY CUSTOMIZABLE WORKFLOW ENGINE

This white paper explores these five inefficiencies we’ve commonly seen and explores ways you can make your lab more efficient using a fully customizable workflow engine.

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The Digital Laboratory: Better Data Provenance and the Case for a Holistic Approach

This eBook presents some important considerations for organizing your lab to ensure that you know where your samples and data are and how they have been processed.

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Going Beyond Commodity Cloud Services for Data-Intensive Genomic Applications

Explore how to get optimized resources for storage, computing, and networking components that are designed from the start to efficiently manage and handle genomic-scale data.

Download

Scientific Presentations, Publications, & Posters

Solution Briefs and Product Literature