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    Modeling Strep Throat Detection, Infection, and Spread Using an SIR Model and the Vensim Simulation Software
    The overarching goal of this lesson is to provide students with an opportunity to gain experience making and using biological models. Biological modeling can be used to investigate complex, real-world problems so that predictions can be made about...
    Lesson
    2724

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    437

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    An Introduction to Eukaryotic Genome Analysis in Non-model Species for Undergraduates: A tutorial from the Genome Consortium for Active Teaching
    Advances in Next Generation Sequencing (NGS) technology have led to development of many research methods for analyzing genomic data. Students studying biology at the undergraduate level must hone their skills at genomic analysis to participate in...
    Lesson
    553

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    88

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    Using Raw Sequence Data to Analyze Tumor Suppressor Mutations
    Learning to identify DNA sequence variants from raw sequencing data (electropherograms) is a basic molecular biology skill with applications to basic research and clinical practice. Yet learning to map DNA sequence variants to functional regions...
    Lesson
    6568

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    1124

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    Mapping a Mutation to its Gene: The "Fly Lab" as a Modern Research Experience
    Although genetics is an invaluable part of the undergraduate biology curriculum, it can be intimidating to students as well as instructors: Students must reduce their reliance on memorization and dive deep into quantitative analysis, and...
    Teaching Tools and Strategies
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    A 360˚ View of COVID-19
    In March 2020, institutions underwent a massive transition to distance learning as a result of the COVID-19 pandemic. With so little time to devise new materials to maximize learning in the new virtual environment, instructors devised a variety of...
    Lesson
    3016

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    549

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    A Fun Introductory Command Line Lesson: Next Generation Sequencing Quality Analysis with Emoji!
    Radical innovations in DNA sequencing technology over the past decade have created an increased need for computational bioinformatics analyses in the 21st century STEM workforce. Recent evidence however demonstrates that there are significant...

    Courses: BioinformaticsBioinformatics

    Lesson
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    498

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    Does Organelle Shape Matter?: Exploring Patterns in Cell Shape and Structure with High-Throughput (HT) Imaging
    Organelle structure has been studied and visualized for decades; however, publicly available databases that use improved high-throughput microscopy of gene-edited cell lines have recently revolutionized the amount and quality of information now...
    Lesson
    4215

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    628

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    Using Bioinformatics and Molecular Visualization to Develop Student Hypotheses in a Malate Dehydrogenase Oriented CURE
    Developing student creativity and ability to develop a testable hypothesis represents a significant challenge in most laboratory courses. This lesson demonstrates how students use facets of molecular evolution and bioinformatics approaches...
    Lesson
    3082

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    453

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    Moths and Frogs and E. coli, Oh My!: Agent-based Modeling of Evolutionary Systems
    In evolution classrooms, introducing and reinforcing the idea of genetic drift and random selection can be challenging, as can be reinforcing appropriate mental models of evolution. Agent-based models offer students the opportunity to conduct a...
    Lesson
    3644

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    601

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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    Next-generation sequencing is radically changing the study of biology, but there are currently few resources aimed at teaching the required laboratory and data-analysis skills to undergraduate students. This gap is especially true at primarily...
    Lesson
    1297

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    170

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    Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes
    Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills to analyze biological data while understanding the...

    Courses: BioinformaticsBioinformatics

    Lesson
    2297

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    353

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    Learning R for Biologists: A Mini Course Grab-Bag for Instructors
    As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there are few that offer practical laboratory-based...
    Lesson
    3533

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    1302

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    A CRISPR/Cas Guide RNA Design In Silico Activity
    CRISPR biotechnologies inspired by the Clustered Regularly Interspaced Short Palindromic Repeat RNA-guided nuclease adaptive bacterial immune system have revolutionized biology research and become ubiquitous tools for hypothesis and...
    Lesson
    826

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    62

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    Breaking It Down: What Factors Control Microbial Decomposition Rates?
    Demonstrating and modeling changes in ecosystem processes in the laboratory classroom can be logistically difficult and expensive. This complexity often leaves little time for students to generate and test hypotheses. Yet, we must foster student...
    Lesson
    2836

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    559

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    Developing Data Literacy Skills and Connecting the Student Experience in the Classroom to the Community Through Biodiversity Projects
    Undergraduate education and long-term science literacy are enhanced by integrating data projects with public datasets and creating analysis summaries. Underutilized public datasets are often generated by community-based or citizen science projects...
    Lesson
    2175

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    668

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    Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses
    Introductory bioinformatics exercises often walk students through the use of computational tools, but often provide little understanding of what a computational tool does "under the hood." A solid understanding of how a bioinformatics...