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    The Science and Ethics of Gene Drives: An Active Learning Lesson in Genetics
    Coursework connecting biology to socially relevant issues and ethical questions can help students think about biology in interdisciplinary terms. Gene drives represent one topic involving both...
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    A Journal Club Project to Promote Interpreting and Presenting Information From the Primary Scientific Literature
    Many undergraduate students receive little guidance on how to critically read, interpret data within, or present information from the primary scientific literature before they begin senior...
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    Glycolysis Can Be Fun: Rediscovering Glycolysis as a Problem-Solving Introduction to Metabolism
    A thorough understanding of glycolysis forms a foundation for students to analyze subsequent topics in metabolism, a core competency recognized by multiple national societies for biology and...
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    Malaise Trap Project: Involving Undergraduate Students in Network Science
    A multi-week project for upper division undergraduate students to participate in network-level science, while simultaneously learning classic entomology skills of specimen collection and...
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    Two-Species Model
    These two Excel worksheets simulate the population growth of two interacting species. In isolation, each species grows logistically, but interaction effects between species may limit or enhance...
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    Protein Analysis
    This Excel workbook allows the analysis of sample or imported protein sequences. The model can analyze protein sequences up to 500 amino acids long.
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    Pharmacokinetics
    This Excel module explores how drugs are processed and absorbed in the human body.
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    Linkage Analysis
    This Excel workbook simulates a linkage analysis problem with up to four alleles. Based on the offspring produced by a multihybrid testcross, the user builds a model of the gene order,...
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    Leslie/Lefkovitch Matrix Models for Age or Stage-structured Populations
    This Excel workbook uses the Leslie matrix model for population projection of age-class structured populations, and also allows Lefkovitch matrix models for stage-class structured populations.
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    Hidden Markov Model
    Hidden Markov models are a set of mathematical tools that can be used to draw inferences about genomic and evolutionary processes.
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    Evolution Through Natural Selection
    This Excel workbook simulates the population genetics of a single gene with two alleles, allowing the user to set the initial allele frequencies and enter parameters for a variety of different...
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    Deme 2.0
    This workbook simulates the population genetics of a single gene with two alleles. It can simultaneously model up to three local populations, which may differ in their selection coefficients.
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    COVID-19 Model
    This Excel worksheet implements an SEAIHRD model for Covid-19 (Susceptible, Exposed, Asymptomatic infective, symptomatic Infective, Hospitalized infective, Recovered, Deceased).
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    Continuous Growth Models
    This Excel worksheet compares user-input growth data with predictions under linear, exponential, and logistic models of growth. Introduces concepts of statistical analysis that can be additionally...
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    Buffer Preparation
    This Excel workbook calculates the necessary components to create a buffer solution using the Henderson-Hasselbalch equation.
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    Biological Cellular Automata Laboratory (BioCA Lab)
    This Excel module includes both linear cellular automata and 2D cellular automata. The original 3 rules for survival, death, and birth are implemented in this module, but users with some Excel...

    Keywords: cellular automata

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    BioBayes
    The BioBayes module leads the user through several different methodologies for applying Bayesian probabilities to real life examples and problems, such as HIV and cystic fibrosis screening.
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    Birthday Problem and Class Phenotypic Probabilities
    An Excel workbook exploring two related applications, the Birthday Problem and Class Phenotypic Probabilities. Students enter their own phenotypes into the workbook.
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    Luria-Delbruck
    These two workbooks model the evolution of phage resistance in a bacterial population under two alternative hypotheses.
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    Michaelis-Menten Enzyme Kinetics
    In this simulation, equations used in enzyme kinetics (Michaelis-Menten, Eadie-Hofstee, Dixon, and Lineweaver-Burk) are modeled under various conditions.
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