A User’s Perspective: Somatic Variant Analysis in VarSeq 2.3.0

VarSeq Logo

About this webinar

December 7, 2022

Presented By: Rana Smalling, PhD, Jennifer Dankoff, PhD, and Solomon Reinman

VarSeq 2.3.0 facilitates the evaluation of a multitude of somatic genomic variations with a more refined user interface to streamline variant evaluation. Our recent webcasts have shown the full range of these newly developed upgrades:

  • VarSeq 2.3.0: Supporting the Full Spectrum of Genomic Variation
  • VarSeq 2.3.0: New TSO-500 and Genomic Signature Support in VSClinical AMP

  • Now, we are showing it all in action from the user’s perspective. This webcast provides a comprehensive demonstration of performing somatic variation analysis and reporting. We review how to use workflow automation to expedite the NGS project creation process and report rendering. We also demonstrate the streamlined capture of knowledge during variant evaluation by leveraging our clinical expert-curated interpretations with the Golden Helix Cancer Knowledge Base (CancerKB).

    We hope you watch below to see VarSeq 2.3.0 from a user’s perspective, covering:

  • Somatic variant workflows: necessary algorithms and filtering strategies
  • Import of all relevant biomarker and genomic signatures data from TSO-500
  • Review content and value of clinically curated interpretations and treatments with CancerKB
  • Interpretation of structural variants in the VSClinical AMP Guidelines workflow
  • Workflow automation with VSPipeline
  • Watch on demand

    Please enjoy this webcast recording. Should you have any questions about the content covered, please reach out to our team here.

    Download the slide deck

    To download a copy of the slides, click on the LinkedIn icon. This will redirect you to the SlideShare site. From there, you can clip your favorite slides or download the entire deck to your computer.

    Love this webcast? Check out more!

    Find out how Golden Helix software enables users to harness the full potential of genomics to identify the cause of disease, improve the efficacy and safety of drugs, develop genomic diagnostics, and advance the quest for personalized medicine.