MAY 14, 2020 5:40 PM EDT

First experience with the Ion Torrent Genexus Workflow

Speaker
  • Director, Center for Personalized Diagnostics Director, Division of Precision and Computational Diagnostics, University of Pennsylvania Perelman School of Medicine
    Biography
      KOJO S. J. ELENITOBA-JOHNSON, MD is the Peter C. Nowell, MD, Professor and Founding Director of the Penn Center for Personalized Diagnostics, and Founding Director of the Division of Precision and Computational Diagnostics at the Perelman School of Medicine at the University of Pennsylvania. Dr. Elenitoba-Johnson earned his medical degree from the College of Medicine, University of Lagos in Lagos, Nigeria. He has board certification in AP/CP, hematopathology and molecular genetic pathology. His research focuses on molecular pathogenesis and precision diagnostics with particular emphasis on identification of therapeutic targets for hematopoietic neoplasia. Elenitoba-Johnson has been recognized with numerous awards, including the Ramzi Cotran Young Investigator Award from the United States and Canadian Academy of Pathology in 2006 and the Outstanding Investigator Award given by the American Society for Investigative Pathology (2012). In 2018, he served as President of the Association of Molecular Pathologists (AMP). He has authored more than 170 peer-reviewed research publications and has contributed over 20 chapters in professional text-books.

    Abstract

    Operational barriers like complicated workflows and long turnaround times have hindered broad adoption of next-generation sequencing (NGS) in clinical oncology research. The new Ion Torrent Genexus System promises to address many of the current limitations of NGS. During this presentation, Dr. Kojo Elenitoba-Johnson from the University of Pennsylvania will discuss his early experience with the new Ion Torrent Genexus Sequencer and how the workflow could potentially simplify and speed up NGS-based oncologic testing in his laboratory. This will include preliminary studies evaluating the ease of use of the Genexus System as a sample-to-result platform for the identification of somatic variants in cancer, as well as determining performance characteristics of the system compared to the Ion Torrent Personal Genome Machine (PGM).  

     

    Learning Objectives:

    1. Participants will become familiar with basic aspects of the user experience with the Genexus system

    2. Participants will learn about preliminary studies using a targeted panel and the Genexus system for the detection of somatic variants in cancer


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