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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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    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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    Phylogeography Simulator
    This Excel workbook simulates the phylogeography of an asexually reproducing species.
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    Pharmacokinetics
    This Excel module explores how drugs are processed and absorbed in the human body.
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    Mark-Recapture
    A common method used to estimate the population size of a species is the Mark-Recapture method.
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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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    ESS: Evolutionary Stable Strategies Game Theory Module
    This Excel workbook illustrates a number of ESS examples. Each example allows the user to manipulate the initial population for each strategy and the fitness payoffs and costs for each strategy.
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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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    DeFinetti 1.0
    This Excel workbook simulates evolution of a single gene with three alleles. The user assigns fitness values to each of the six possible genotypes, then enters starting allele frequencies for each...
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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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    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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    Biodiversity
    Biodiversity allows the diversity of a biological population to be estimated with both the Shannon and Simpson biodiversity indices based on information theory.
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    Learning Spaces in undergraduate science courses ( virtual and face to face)
    Learning Spaces are zones of interaction between undergraduates & undergraduates and undergraduates & professor. The traditional learning spaces were existing pre-pandemic however post-pandemic the...
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