How to Analyze RNA-Seq Data to Identify Biological Affects of Zika Virus Infection
August 31, 2016
In this webinar, we’ll use 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 cell cycle, cellular stress, and cell metabolism pathways.
Learn to:
August 31, 2016
In this webinar, we’ll use 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 cell cycle, cellular stress, and cell metabolism pathways.
Learn to:
- Perform RNA-Seq analysis from beginning to end in a point-and-click environment
- quality control
- exploratory analysis
- 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