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January 28, 2021
Sponsored by
Sophia Genetics

Implementation of a Customized Myeloid NGS-based Solution in an Academic Clinical Laboratory

GenomeWebinar

Director of the Molecular Diagnostics Laboratory, Director of the Molecular Genetic Pathology Fellowship, Clinical Associate Professor of Pathology, University of Michigan

This webinar discusses how the University of Michigan has implemented a new next-generation sequencing (NGS) capture-based solution to assess myeloid malignancies while minimizing required laboratory resources. 

The evolution of molecular oncology presents enormous challenges for laboratories, including:

  • Selecting clinically relevant genomic regions using the most up-to-date medical evidence
  • Designing and optimizing an advanced NGS solution
  • Implementing bioinformatics technology for accurate variant calling
  • Utilizing expertise for variant annotation and interpretation

In this webinar, Dr. Noah Brown of the University of Michigan will discuss how his team worked with Sophia Genetics to develop an NGS solution to keep pace with the ever-evolving recommendations and clinical guidelines for myeloid malignancies. 

In particular, he will describe:

  • The optimization of laboratory resources and rationale for external collaboration
  • Myeloid panel design considerations
  • The process of implementing this new NGS capture-based solution
  • Analytical performance 
  • Experience with this platform in routine testing

Product Disclaimer: Sophia Genetics products are for Research Use Only and not for use in diagnostic procedures. The information included has been prepared for and is intended for viewing by a global audience. Information about products which may or may not be available in different countries and if applicable, may or may not have received approval or market clearance by a governmental regulatory body for different indications for use. Please consult local sales representativesAny views expressed during this webinar by the presenter are those of the presenter only and do not represent Sophia Genetics' own views.

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