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    Instructor Guide: Integrating Project Leadership, Artificial Intelligence, Simulation and Google Tools to Understand Regulation of Gene Expression with the Lac Operon and Lactase Gene
    Scientific leadership and current artificial intelligence (AI) skills are important skills to be included in the course curriculum. Together or individually, these skills can enhance knowledge,...
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    Instructor Guide : Integrating Leadership Skills, Data Science, Artificial Intelligence, Simulation and Google Tools to learn Physics
    Scientific, leadership and recent artificial intelligence skills are integral frameworks of the curriculum. All of them together or individually can enhance knowledge, critical thinking and...
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    Instructor Guide : Integrating Leadership Skills, Data Science, Artificial Intelligence, Simulation and Google Tools to learn Chemistry
    Scientific, leadership and recent artificial intelligence skills are integral frameworks of the curriculum. All of them together or individually can enhance knowledge, critical thinking and...
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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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    Serial Dilutions
    In this Excel workbook, users will enter the original cell concentration and the desired dilution factor (10, 100, and 1000). The program will then calculate the new cell concentration.
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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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    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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    Dynamic Programming
    In bioinformatics, dynamic programming is mainly used to align nucleotide and amino acid sequences, and to predict RNA and protein folding from primary sequence data.
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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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    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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    Biostatistical Tools
    This Excel collection of workbooks has tools for: 1. Linear regression through the origin 2. Linear regression not through the origin 3. Polynomial fit 4. A simple chi-square analysis to test...
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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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    BioGrapher
    BioGrapher is an Excel front-end for the AT&T GraphViz graphical visualization and layout package (http://www.graphviz.org/).
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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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    Digital Intro: Revitalizing the “Introduction to Psychology” course through Project-based Learning
    Welcome to Digital Intro where we are transforming introductory courses into active, project-based experiences. Our projects expose students to a wide range of digital skills as they learn...
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