Next-Gen Sequencing of the SARS-CoV-2 Virus with Golden Helix


About this webinar

Recorded On: Wednesday, May 6, 2020

Presented By: Darby Kammeraad, Golden Helix Field Application Scientist Manager

The COVID-19 outbreak is an unprecedented event in terms of its impact on public health and the global economy. While we may see the development of an immunization strategy as the ultimate solution, sequencing the virus with Next-Generation Sequencing (NGS) provides useful diagnostic and research findings to impact the course of this pandemic. As a provider of NGS analysis solutions spanning clinical and research capabilities, Golden Helix has a number of analytical solutions relevant to these different use cases for the analysis of the SARS-CoV-2 virus. Join us for our upcoming webcast where we will discuss the following subjects:

  • Diagnosis and viral identification: Secondary solutions to diagnose COVID-19 and identify which virus genomes are present in total RNA samples
  • Sample cluster: Cohort analysis in SVS to use unsupervised learning PCA to find similarly typed strains based on public sequence data
  • Clinical analysis: High throughput per sample analysis including variant analysis and clinical reporting

Golden Helix prides itself on our ability to capture and utilize the most up-to-date data to streamline your analysis. We hope you will join us on May 6th for a live look at how Golden Helix's bioinformatics software can be used to explore the sample grouping and genetic composition of the SARS-CoV-2 virus.

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.