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Predicting and classifying effects of insertion and deletion mutations on protein coding regionsLearning ObjectivesStudents will be able to:
- accurately predict effects of frameshift mutations in protein coding regions
- conduct statistical analysis to compare expected and observed values
- become familiar with accessing and using DNA sequence databases and analysis tools
Building Trees: Introducing evolutionary concepts by exploring Crassulaceae phylogeny and biogeographyLearning ObjectivesStudents will be able to:
- Estimate phylogenetic trees using diverse data types and phylogenetic models.
- Correctly make inferences about evolutionary history and relatedness from the tree diagrams obtained.
- Use selected computer programs for phylogenetic analysis.
- Use bootstrapping to assess the statistical support for a phylogeny.
- Use phylogenetic data to construct, compare, and evaluate the role of geologic processes in shaping the historical and current geographic distributions of a group of organisms.
Cell Signaling Pathways - a Case Study ApproachLearning Objectives
- Use knowledge of positive and negative regulation of signaling pathways to predict the outcome of genetic modifications or pharmaceutical manipulation.
- From phenotypic data, predict whether a mutation is in a coding or a regulatory region of a gene involved in signaling.
- Use data, combined with knowledge of pathways, to make reasonable predictions about the genetic basis of altered signaling pathways.
- Interpret and use pathway diagrams.
- Synthesize information by applying prior knowledge on gene expression when considering congenital syndromes.
Evaluating the Quick Fix: Weight Loss Drugs and Cellular RespirationLearning Objectives
- Students will be able to explain how the energy from sugars is transformed into ATP via cellular respiration.
- Students will be able to predict an outcome if there is a perturbation in the cellular respiration pathway.
- Students will be able to state and evaluate a hypothesis.
- Students will be able to interpret data from a graph, and use that data to make inferences about the action of a drug.