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- (-) Remove Assessment of individual student performance filter Assessment of individual student performance
- (-) Remove Communicating results filter Communicating results
- (-) Remove Ability to use modeling and simulation filter Ability to use modeling and simulation
Your Tax Dollars at Work: A mock grant writing experience centered on scientific process skillsLearning ObjectivesStudents will be able to:
- Propose a testable, novel question contributing to a biological field of study.
- Formulate a study rationale.
- Describe relevant background information on a topic using the primary literature.
- Choose appropriate scientific, mathematical, and statistical methods to analyze a research question.
- Determine the financial costs of a research project.
- Present a proposal for peer review and compose a constructive peer review.
- Collaborate as a member of a scientific team.
- Articulate the review criteria and process used in NSF-style proposal review.
Discovering Prokaryotic Gene Regulation by Building and Investigating a Computational Model of the lac OperonLearning ObjectivesStudents will be able to:
- model how the components of the lac operon contribute to gene regulation and expression.
- generate and test predictions using computational modeling and simulations.
- interpret and record graphs displaying simulation results.
- relate simulation results to cellular events.
- describe how changes in environmental glucose and lactose levels impact regulation of the lac operon.
- predict, test, and explain how mutations in specific elements in the lac operon affect their protein product and other elements within the operon.
The Leaky Neuron: Understanding synaptic integration using an analogy involving leaky cupsLearning ObjectivesStudents will able to:
- compare and contrast spatial and temporal summation in terms of the number of presynaptic events and the timing of these events
- predict the relative contribution to reaching threshold and firing an action potential as a function of distance from the axon hillock
- predict how the frequency of incoming presynaptic action potentials effects the success of temporal summation of resultant postsynaptic potentials
Discovering Prokaryotic Gene Regulation with Simulations of the trp OperonLearning ObjectivesStudents will be able to:
- Perturb and interpret simulations of the trp operon.
- Define how simulation results relate to cellular events.
- Describe the biological role of the trp operon.
- Describe cellular mechanisms regulating the trp operon.
- Explain mechanistically how changes in the extracellular environment affect the trp operon.
- Define the impact of mutations on trp operon expression and regulation.
Discovering Cellular Respiration with Computational Modeling and SimulationsLearning ObjectivesStudents will be able to:
- Describe how changes in cellular homeostasis affect metabolic intermediates.
- Perturb and interpret a simulation of cellular respiration.
- Describe cellular mechanisms regulating cellular respiration.
- Describe how glucose, oxygen, and coenzymes affect cellular respiration.
- Describe the interconnectedness of cellular respiration.
- Identify and describe the inputs and outputs of cellular respiration, glycolysis, pyruvate processing, citric acid cycle, and the electron transport chain.
- Describe how different energy sources are used in cellular respiration.
- Trace carbon through cellular respiration from glucose to carbon dioxide.
Investigating Cell Signaling with Gene Expression DatasetsLearning ObjectivesStudents will be able to:
- Explain the hierarchical organization of signal transduction pathways.
- Explain the role of enzymes in signal propagation and amplification.
- Recognize the centrality of signaling pathways in cellular processes, such as metabolism, cell division, or cell motility.
- Rationalize the etiologic basis of disease in terms of deranged signaling pathways.
- Use software to analyze and interpret gene expression data.
- Use an appropriate statistical method for hypotheses testing.
- Produce reports that are written in scientific style.
A CURE-based approach to teaching genomics using mitochondrial genomesLearning Objectives
- Install the appropriate programs such as Putty and WinSCP.
- Navigate NCBI's website including their different BLAST programs (e.g., blastn, tblastx, blastp and blastx)
- Use command-line BLAST to identify mitochondrial contigs within a whole genome assembly
- Filter the desired sequence (using grep) and move the assembled mitochondrial genome onto your own computer (using FTP or SCP)
- Error-correct contigs (bwa mem, samtools tview), connect and circularize organellar contigs (extending from filtered reads)
- Transform assembled sequences into annotated genomes
- Orient to canonical start locations in the mitochondrial genome (cox1)
- Identify the boundaries of all coding components of the mitochondrial genome using BLAST, including: Protein coding genes (BLASTx and tBLASTX), tRNAs (proprietary programs such as tRNAscan), rRNAs (BLASTn, Chlorobox), ORFs (NCBI's ORFFinder)
- Deposit annotation onto genome repository (NCBI)
- Update CV/resume to reflect bioinformatics skills learned in this lesson