Webinar: NextGen Sequencing Analysis with Emojis and CyVerse!
April 30, 2021 | Virtual
10 am Pacific | 11 am Mountain | 12 noon Central | 1 pm Eastern (DST)
About the Webinar
Both students and educators interested in learning and teaching aspects of NextGen Sequencing (NGS) analysis should join us for this fun demonstration of a classroom-tested app that is effective in teaching novice students some core elements of NGS Quality Control (QC) analysis. Using basic scripting commands (and a good number of emojis!), Dr. Ray Enke of James Madison University will show us an introductory scripting exercise using a publicly available app in CyVerse's VICE (Visual and Interactive Computing Environment) to assess the quality of raw sequencing data, such as how many and how long the reads are, how many contaminating sequences may be present, or how many of the reads are low-quality sequences. This key Quality Control step is essential to ensure that any downstream analyses of NGS data, e.g., evolutionary or population genetics analyses, deliver credible results. By learning to use apps in CyVerse VICE, students and teachers alike can expand their computational toolbox for doing 21st-century genomics and data science.
What You'll Learn
- Some basic principles of doing and teaching Quality Control analysis for NextGen Sequence data
- Some introductory level scripting applied in an NGS training tutorial
- How to run the app in CyVerse VICE
Suggested Level of Expertise
- Familiarity with NGS data and processes
- Familiarity with using scripts for basic computational tasks
- Familiarity with using interactive apps
About the Presenter
Ray Enke is an associate professor at James Madison University and teaches both undergraduate and graduate level courses in genetics and cell and molecular biology. His research centers around epigenetic regulation in retinal neurons, such as how DNA methylation can modify the genome and the effects on transcription. Dr. Enke is also a leader in developing effective learning materials in applied genomics and bioinformatics for undergraduate courses, because he knows that "...students who can compute and manage data are the researchers who will be making the discoveries that lie over the next technological and biological hill."