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GEN Presents An Educational And Informative Webinar

Translating Next-Gen Sequencing from the Lab to the Clinic: Challenges and Solutions

  • Broadcast Date: Thursday, April 17, 2014
  • Time: 11:00 am ET, 8:00 am PT



The confluence of next-generation sequencing technologies, computational analysis of the data, and the use of targeted therapy in cancer care raises a “perfect storm” for revolutionizing the clinic. Sequencing experts, bioinformaticists, and clinicians agree that the challenges of translating the vast amounts of data from next-generation sequencing into a resource that can be easily and effectively incorporated into clinical and research programs are significant.

In this webinar, our presenters will cover several approaches aimed at streamlining the application of genomics data to clinical and personalized medicine. David Smith of the Mayo Clinic will describe analytical/informatics challenges, focusing on the Clinic’s approaches to presenting data generated from small gene panel, whole exome, whole genome, or whole transcriptome sequencing into a digestible form for clinicians.

David Galas of the Pacific Northwest Diabetes Research Institute will review current technologies used to generate clinically relevant genomic information, with an emphasis on combining multiple sources of experimental and computation prediction datasets (gene/miRNA expression, computationally predicted transcription factor binding sites and miRNA target genes, protein-protein interactions, and so forth), to construct integrative regulatory networks that influence disease.

Finally, Washington University’s Elaine Mardis will discuss the necessary components for the clinical translation of massively parallel sequencing technology and describe the remaining significant hurdles to implementation.

Who Should Attend

  • Bioinformaticists
  • Sequencing scientists
  • Cancer clinicians
  • Molecular geneticists
  • Pathologists

You Will Learn

  • How next-generation sequencing technologies, computational analysis of the data, and data interpretation pose unique challenges in translational medicine
  • How major research and clinical institutions are approaching analytics required for different types of sequencing information
  • How these institutions and other organizations are packaging information for clinical use, particularly in cancer characterization
  • How sequencing has impacted treatment of specific cancers

A live Q&A session will follow the presentations, offering you a chance to pose questions to our expert panelists.



  • Elaine R. Mardis, Ph.D.
  • Professor of Genetics
  • Co-director, The Genome Institute at Washington University
  • Washington University School of Medicine
  • David Galas, Ph.D.
  • Principal Scientist
  • Pacific Northwest Diabetes Research Institute
  • David Smith, Ph.D.
  • Professor of Laboratory Medicine and Pathology
  • Mayo Clinic


  • John Sterling
  • Editor in Chief
  • Genetic Engineering & Biotechnology News

Produced with support from