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Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active TeachingLearning Objectives
- From raw RNAseq data, run a basic analysis culminating in a list of differentially expressed genes.
- Explain and evaluate statistical tests in RNAseq data. Specifically, given the output of a particular test, students should be able to interpret and explain the result.
- Use the Linux command line to complete specified objectives in an RNAseq workflow.
- Generate meaningful visualizations of results from new data in R.
- (In addition, each chapter of this lesson plan contains more specific learning objectives, such as “Students will demonstrate their ability to map reads to a reference.”)
The impact of diet and antibiotics on the gut microbiomeLearning ObjectivesAfter completing the exercise, students will be able to:
- Identify several of the nine phyla that contribute to the gut microbiome and name the two predominant ones;
- Describe how diet impacts the gut microbiome and compare the composition of the gut microbiome between different diets;
- Describe how antibiotic treatment impacts the gut microbiome and understand how this leads to infection, for example by Clostridium difficile;
- Trace the response to a change in diet, starting with i) changes in the composition of the microbiome, followed by ii) changes in the bacterial metabolic pathways and the respective excreted metabolic products, resulting in iii) a molecular response in the host intestinal cells, and eventually iv) resulting in human disease;
- Improve their ability to read scientific literature;
- Express themselves orally and in writing;
- Develop team working skill