e-learning
SARS-CoV-2 Viral Sample Alignment and Variant Visualization
Abstract
There is a growing need for undergraduate students to learn cutting-edge concepts in genomics data science, including performing analysis on the cloud instead of a personal computer.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How do I check my data quality?
- How do I put together my dataset of fragmented sequences into a full sequence?
- How do I visually explore the variants in my SARS-CoV-2 sample?
Learning Objectives
- Gather and evaluate experimental evidence, including qualitative and quantitative data
- Generate and interpret graphs displaying experimental results
- Critique large data sets and use bioinformatics to assess genetics data
- Tap into the interdisciplinary nature of science
Licence: Creative Commons Attribution 4.0 International
Keywords: Sequence analysis, covid19, gmod, jbrowse1
Target audience: Students
Resource type: e-learning
Version: 2
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- Gather and evaluate experimental evidence, including qualitative and quantitative data
- Generate and interpret graphs displaying experimental results
- Critique large data sets and use bioinformatics to assess genetics data
- Tap into the interdisciplinary nature of science
Date modified: 2024-02-29
Date published: 2023-07-10
Contributors: Ava Hoffman, Candace Savonen, Elizabeth Humphries, Frederick Tan, Katherine Cox, Natalie Kucher
Scientific topics: Sequence analysis
Activity log
