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Uncovering Genomic Evidence of SARS-CoV-2 Infection and Reinfection
Is it possible to become reinfected with SARS-CoV-2? If so, how can we identify and confirm reinfection? What tools can we use to better identify prevalent and emerging strains of SARS-CoV-2?
Joel Sevinsky, Principal at Theiagen Consulting, is an expert in bioinformatics in the public health space and coauthor of a recent paper exploring the genomics evidence for reinfection with SARS-CoV-2 that was published in The Lancet Infectious Diseases. In this webinar, Dr. Sevinsky will discuss:
How next-generation sequencing (NGS) and off-the-shelf software confirmed the first documented SARS-CoV-2 reinfection case in the United States;
How bioinformatics analysis strongly supports the hypothesis that the patient was infected on two separate occasions by genetically distinct viruses;
The rationale for the continued use of NGS-based approaches for analysis and surveillance of SARS-CoV-2 samples.
Leif Schauser, Global Product Manager at Qiagen Digital Insights, will discuss recent product developments at Qiagen that support the detection, NGS analysis, and interpretation SARS-CoV-2-positive samples, including stain typing. He will discuss solutions that range from Qiagen cloud-based services to scalable applications for on-premises analyses.
52:53 minutes
Tags: clc genomics workbench, SARS-CoV-2