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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...

    Courses: BioinformaticsBioinformatics EcologyEcology EvolutionEvolution Science Process SkillsScience Process Skills

    modelingEvolutionecologyagent-based modelingGenetic Driftenvironmental scienceNatural Selectioncompetitive coevolutionsimulation modelingevolutionary reasoning
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    6103

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    1233

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    A CURE for Salmonella: A Laboratory Course in Pathogen Microbiology and Genomics
    Rapid advances in genomics and bioinformatics, the vast amount of data generated by next-generation sequencing, and the penetration of the ‘-omics’ into many areas of biology have created a need for students with hands-on experience with...

    Courses: Biochemistry and Molecular BiologyBiochemistry and Molecular Biology BioinformaticsBioinformatics EcologyEcology MicrobiologyMicrobiology

    epidemiologyresearchbioinformaticsgenomicspublic healthAntibiotic Resistant BacteriaSalmonellaDNA sequencingpathogenic bacteria
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    6603

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    1643

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    Single Cell Insights Into Cancer Transcriptomes: A Five-Part Single-Cell RNAseq Case Study Lesson
    There is a growing need for integration of “Big Data” into undergraduate biology curricula. Transcriptomics is one venue to examine biology from an informatics perspective. RNA sequencing has largely replaced the use of microarrays for whole...

    Courses: Biochemistry and Molecular BiologyBiochemistry and Molecular Biology BioinformaticsBioinformatics Cell BiologyCell Biology GeneticsGenetics Introductory BiologyIntroductory Biology

    bioinformaticscancertranscriptomicshigh-throughputData wranglingSingle cell RNA sequencingq
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    1273

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    167

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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

    computationpythonJupyter notebookFunctionscentral dogmaDictionaries
    Lesson
    2701

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    426

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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...

    Courses: BioinformaticsBioinformatics GeneticsGenetics Science Process SkillsScience Process Skills

    Speciationgenome evolutiongenetic variation
    Lesson
    3616

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    600

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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...

    Courses: BioinformaticsBioinformatics Introductory BiologyIntroductory Biology

    statisticsbioinformaticsRNAseqgene expressioncomputer programming
    Lesson
    2975

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    548

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    2

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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

    bioinformaticsgenomicscodingJupyter notebookcommand lineCyVersescriptingnext generation sequencing analysis
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    3326

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    272

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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...

    Courses: Biochemistry and Molecular BiologyBiochemistry and Molecular Biology BioinformaticsBioinformatics Cell BiologyCell Biology EvolutionEvolution GeneticsGenetics MicrobiologyMicrobiology

    EvolutionmutationcompetitionNatural Selectionregulationstructure and functionreproductive fitnessgenotype to phenotypehomologs
    Lesson
    2260

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    348

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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...

    Courses: Anatomy-PhysiologyAnatomy-Physiology BioinformaticsBioinformatics EcologyEcology GeneticsGenetics

    Rdata analysisRStudio
    Lesson
    3490

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    1298

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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...

    Courses: Biochemistry and Molecular BiologyBiochemistry and Molecular Biology BioinformaticsBioinformatics Cell BiologyCell Biology GeneticsGenetics

    bioinformaticsgene expressiongenetic basis of diseaseCRISPR/Cas9genetic engineeringin silico