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Infectious Chocolate Joy with a Side of Poissonian Statistics: An activity connecting life science students with subtle...Learning Objectives
- Students will define a Poisson distribution.
- Students will generate a data set on the probability of a T cell being infected with a virus(es).
- Students will predict the likelihood of one observing the mean value of viruses occurring.
- Students will evaluate the outcomes of a random process.
- Students will hypothesize whether a process is Poissonian and design a test for that hypothesis.
- Students will collect data and create a histogram from their data.
Exploration of the Human Genome by Investigation of Personalized SNPsLearning ObjectivesStudents successfully completing this lesson will be able to:
- Effectively use the bioinformatics databases (SNPedia, the UCSC Genome Browser, and NCBI) to explore SNPs of interest within the human genome.
- Identify three health-related SNPs of personal interest and use the UCSC Genome Browser to define their precise chromosomal locations and determine whether they lie within a gene or are intergenic.
- Establish a list of all genome-wide association studies correlated with a particular health-related SNP.
- Predict which model organism would be most appropriate for conducting further research on a human disease.
Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypesLearning ObjectivesStudents successfully completing this lesson will:
- Practice basic molecular biology laboratory skills such as DNA isolation, PCR, and gel electrophoresis.
- Gather and analyze quantitative and qualitative scientific data and present it in figures.
- Use bioinformatics to analyze DNA sequences and obtain protein sequences for molecular modeling.
- Make and analyze three-dimensional (3-D) protein models using molecular modeling software.
- Write a laboratory report using the collected data to explain how mutations in the DNA cause changes in protein structure/function which lead to mutant phenotypes.