FEB 28, 2019 08:00 AM PST
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DNA Sequencing For Cancer Research

Speakers
  • Director of Data Science Center , Harvard, T.H. Chan School of Public Health
    Biography
      Dr Yaoyu E. Wang is Director of the Data Science Center at Harvard's T.H. Chan School of Public Health. Dr. Wang has worked extensively in the application of high throughput technologies and data analysis methods to the understanding of human disease, and the development into clinical applications. He was previously the Associate Director at Dana-Farber Cancer Institute, where he led interdisciplinary teams in NGS laboratory operations, bioinformatics, and software engineering to facilitate the adoption of genomic technologies in cancer research.

    Abstract:
    DATE:    February 28, 2019
    TIME:     08:00am PST, 11:00am EST, 04:00pm GMT, 05:00pm CET
     
     
    Through genomic sequencing and analysis, clinicians can identify specific mutations present in a patient’s cancer cells and deliver personalized treatment based on the genetic information. Increased availability and lower costs of next-generation sequencing (NGS) and analysis, along with the on-going identification of an expanding array of cancer-related genetic mutations and biomarkers, are enabling exponential growth in the use of this diagnostic and therapy-targeting tool.
     
    Multiple sequencing strategies, including whole genome, hybrid capture and amplicon sequencing are available, and there are also multiple options for the different steps of the workflow, such as fragmentation and size selection. Each technique has pros and cons, and selection will depend on your sample type, throughput requirements, targets, and other factors.
     
    DNA sequence analysis techniques include read alignment, sequence alignment and variant calling. The accuracy of DNA sequence analysis starts from data generation, so your choices of strategies and methods in the sequencing workflow will affect your analysis.
     
    Dr. Yaoyu will tie all this information together and illustrate it with a study example: Waldenstrom Macroglobulinemia.
     
    In this webinar you will:
    • Learn about the application of next-generation sequencing (NGS) for cancer genomics analysis.
    • Understand DNA sequencing methods, with particular focus on fragmentation and size selection.
    • See how DNA sequence analysis is applied to identify somatic mutations that can serve as clinical biomarkers.

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