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Genomics deployments: how to get it right with software-defined infrastructure

Now available on demand

Duration:45 minutes

Abstract:

Advancing the science of medicine by being able to target a disease more precisely with effective treatment specific to the individual relies largely on access to patients’ genomics information and the ability to process massive amounts of genomics data quickly. Healthcare and life science organizations dealing with data-intensive genomics workloads that lack scalability, flexibility, performance, efficiencies, management and cognitive capabilities will need to modernize and transform their application infrastructure to support current and future requirements.

In this talk, we present a field proven integrated IBM Software-Defined Infrastructure solution blueprint for genomics and explain its architecture and benefits in detail.

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Speakers

Frank Lee, PhD

Global Leader High Performance Data Analytics, IBM Systems
IBM

Dr. Frank Lee is the Healthcare and Life Science industry leader for IBM High Performance Data Analytics (HPDA). He has seventeen years of experience in high performance computing and data management. As an advocator for shared and enterprise R&D infrastructure, he created the end-end reference architecture and designed dozens of HPC, cloud and big data analytics solution for the healthcare, life science and education industry clients.

Ulf Troppens

Client Engagements & Solutions Delivery Manager, IBM Spectrum Scale Development
IBM

Ulf Troppens is Consulting IT Specialist with IBM Spectrum Scale Development. He embraces to lead complex proof-of-concepts to examine, elaborate and validate complex requirements in close collaboration with customers. Ulf has a specific interest in file and object based workflows for data intensive science, where data needs to be acquired from instruments and then transferred to a data center for analysis and archive.

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