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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

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    Application of a Bacterial Experimental Evolution System to Visualize and Teach Evolution in Action: A Course-Based Undergraduate Research Experience
    Concepts of evolution are typically taught through examples of extremely long timescales, which do not always resonate broadly. Here, we describe a course-based undergraduate research experience tailored for junior and senior undergraduate biology...
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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...
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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...
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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...