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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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    The Stomata Lab. What the past can tell us about our future - using fossil and modern plants to model atmospheric carbon dioxide
    Students will develop a mathematical model of the relationship between atmospheric CO2 and the number of stomata on a leaf (Stomata Index). They will evaluate the model graphically, statistically,...
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    Quantifying Bacterial Growth in the Guts and Hemolymph of Fruit Flies: Mathematical Modeling and Data Interpolation/Extrapolation
    In this activity, students will analyze raw data obtained from an experiment that explores the effect of overexpressing the Ssk protein in order to strengthen the intestinal barrier and prevent...
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    Interspecific Competition: the Lotka-Volterra Model
    This module introduces the Lotka-Volterra Model in the context of understanding interspecific competition. It is intended for an introductory biology audience.
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    Modeling Trophic Interactions in Rice Agriculture: A Jigsaw Approach
    Students explore four different issues related to trophic interactions that affect modern rice agriculture practices and consider relationships between these issues using Lotka and Volterra...
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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
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    Materials for Teaching the SIR Epidemic Model
    This web page contains materials created by faculty of the University of Nebraska-Lincoln Department of Mathematics to teach basic fundamentals of mathematical epidemiology.
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    3D breast cancer tissue reconstruction
    This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.
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    Food, Energy and Water Learning Modules (FEWLM) Workbooks
    FEWLM is a low-cost inquiry-based interdisciplinary STEM prototypical curriculum built on Next Generation Science Standards, systems thinking and informed engineering design pedagogy.
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    Spreadsheet Tutorial 1 -- Formulae, Functions, and Averages | HHMI BioInteractive
    This introduction to spreadsheet programs describes the basic organization of a worksheet, how to organize and format your data, how to perform simple mathematical calculations, how to use built-in...
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    Pharmacokinetics
    This Excel module explores how drugs are processed and absorbed in the human body.
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    COVID-19 Simulator (ISEE) Module
    This accessible module guides students through exploring the COVID-19 Simulator developed by ISEE. Students dig into the four scenarios provided (including the parameters and the graphs),...
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    RAT ATTACK! Population growth
    This module contains exercises focused on the use and interpretation of density independent and density dependent population growth models. Students build logistic and exponential growth models in...
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    Hardy-Weinberg Equilibrium
    This module introduces the Hardy-Weinberg model in the context of understanding the population's genotype and allele frequencies. It is intended for an introductory biology audience.
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    Predator-Prey Dynamics: the Lotka-Volterra Model
    This module introduces the Lotka-Volterra model in the context of understanding how predator and prey interact. It is intended for an introductory biology audience.
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    COVID-19 Spread NetLogo ABM
    This project aimed to utilize agent-based modeling in NetLogo to create a simulation of COVID-19 spread in a traditional college classroom. The model allows for an evaluation of different...
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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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    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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    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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