AUG 02, 2016 08:00 AM PDT

Reference Architectures for the QIAGEN Biomedical Genomics Solution

SPONSORED BY: Qiagen, Qiagen, Vert Clinical Leader
  • Senior Health & Life Sciences Solution Architect
      Dr. Michael McManus joined Intel in the role of Senior Health & Life Sciences Solution Architect. He is part of Intel's effort to promote the use of modern computational solutions in the healthcare and life sciences markets. Dr. McManus joins Intel from Knome where he was the Senior Vice President of Operations and was the designer of the knoSYS hardware appliance for processing genomic data as part of the genome interpretation process used in a clinical setting. Dr. McManus has a 30-year history in the scientific software and hardware market in roles ranging from R&D to sales, including business development, marketing, product management, and executive management. Before Intel, Dr. McManus worked at six start-ups (CambridgeSoft, AnVil Informatics, GenomeQuest, TerraVerde BioWorks, Integromics, and Knome) and two public companies (Eastman Kodak, and Fujitsu Computer Systems).

      Dr. McManus received a B.S. in chemistry from the University of Massachusetts at Amherst and a Ph.D. in synthetic organic chemistry the Massachusetts Institute of Technology in Cambridge, MA. .
    • Director and solution lead for QIAGEN Bioinformatics
        Mikael Flensborg, is a Director and solution lead for QIAGEN Bioinformatics (previously CLC Bio) High Volume Sequencing Solutions in Aarhus, Denmark. Mikael has over 30 years of combined experience in the software industry, from Bioinformatics software, architecture, servers to Developer Kit and has been instrumental in building strategic alliances and research collaborations for QIAGEN Bioinformatics


      DATE: August 2, 2016
      TIME:  8:00 AM PST  11:00 AM  ET

      The combination of the QIAGEN Biomedical Genomics Solution with the Intel® Scalable System Framework and Intel’s extensive optimization efforts of life sciences software codes offers a new hardware architecture. This new architecture reduces the need for purpose-built systems and instead offers a more flexible and scalable architecture for genomics workloads. This webinar will briefly cover some of the recent code optimization activities, provide an overview of the Intel® Scalable System Framework then focus on some vendor specific examples of reference architectures for the QIAGEN Biomedical Genomics Solution, including some metrics for estimating the recommended cluster size based on the size of the genomic workload.

      Webinar (2) Learning Objectives:

      1. Learn about Intel’s efforts in its Code Optimization and Scalable System Framework
      2. Learn how to build your genomics cluster using products from common hardware companies; size your genomics cluster to meet your needs;  expand your cluster as your need grows.


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