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Biochemistry And Molecular Biology
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.
Tackling "Big Data" with Biology Undergrads: A Simple RNA-seq Data Analysis Tutorial Using GalaxyLearning Objectives
- Students will locate and download high-throughput sequence data and genome annotation files from publically available data repositories.
- Students will use Galaxy to create an automated computational workflow that performs sequence quality assessment, trimming, and mapping of RNA-seq data.
- Students will analyze and interpret the outputs of RNA-seq analysis programs.
- Students will identify a group of genes that is differentially expressed between treatment and control samples, and interpret the biological significance of this list of differentially expressed genes.
Serotonin in the Pocket: Non-covalent interactions and neurotransmitter bindingLearning Objectives
- Students will design a binding site for the neurotransmitter serotonin.
- Students will be able to determine the effect of a change in molecular orientation on the affinity of the molecule for the binding site.
- Students will be able to determine the effect of a change in molecular charge on the affinity of the molecule for the binding site.
- Students will be able to better differentiate between hydrogen bond donors and acceptors.
- Students can use this knowledge to design binding sites for other metabolites.