RNA-Seq Analysis to Identify Biological Affects of Zika Infection

RNA-Seq Analysis to Identify Biological Affects of Zika Infection

RNA-Seq Analysis to Identify Biological Affects of Zika Infection

This webinar uses RNA-Seq data to explore how Zika could cause microcephaly. Using Partek Flow software, an easy-to-use and powerful bioinformatics tool, we’ll analyze Zika-infected neuronal progenitor cells to reveal transcriptional changes caused by the virus. We’ll show how our biological interpretation tools suggest that Zika affects the cell cycle, cellular stress, and cell metabolism pathways.​​​

Learn To

  • Perform RNA-Seq analysis from beginning to end in a point-and-click environment including quality control, Exploratory analysis, and statistical analysis
  • Explore data through interactive visualizations
  • Identify the pathways being affected by Zika virus infection
  • Save analysis steps in a pipeline for use in future experiments

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Kathi GoscheRNA-Seq Analysis to Identify Biological Affects of Zika Infection