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Transcriptomic analyses of virally-infected cell lines using QIAGEN Digital Insights solutions

Date: 2020/08/19 Duration: 01:00:00 Presented by: Jean-Noel Billaud, P.h.D., Senior Principle Scientist QIAGEN IPA

Discover how QIAGEN Digital Insights bioinformatics tools can help you gain deeper insights into your viral research

The emergence of global viral infections reminds us of the significant public health issues brought about by pathogens, and new viral threats continue to arise across the world, as exemplified by the recent global COVID-19 pandemic. Among these viral agents are two flaviviruses, West Nile Virus and Dengue Virus, and two coronaviruses, SARS-COV-1 and SARS-CoV-2, which have had extensive impacts on human populations, and may cause severe symptoms and death. Therefore, understanding the immune response to these viruses is critical. We have analyzed the transcriptomes of cell lines infected by these viruses, to highlight differences in the short-term impact on host gene responses.
 In this web seminar, you will learn how to:
  • Analyze the data to produce differential expression profiles using QIAGEN CLC Genomics tools
  • Identify regulated canonical pathways or functions in viral infection datasets
  • Generate hypotheses about novel regulatory networks that suggest drivers of the expression changes observed in the infections
  • Visualize valuable information regarding a gene of interest in other contexts (e.g., disease or expression)
  • Gain insights about single-cell biology by comparing viral infection datasets in QIAGEN IPA to over 65,000 other public datasets