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    Tackling "Big Data" with Biology Undergrads: A Simple RNA-seq Data Analysis Tutorial Using Galaxy
    Analyzing high-throughput DNA sequence data is a fundamental skill in modern biology. However, real and perceived barriers such as massive file sizes, substantial computational requirements, and...
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    CURE-all: Large Scale Implementation of Authentic DNA Barcoding Research into First-Year Biology Curriculum
    Growing calls in science education reform have emphasized wide-scale engagement of first-year undergraduate students in authentic research experiences; however, large course enrollments, inadequate...
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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...
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    Investigating Cell Signaling with Gene Expression Datasets
    Modern molecular biology is a data- and computationally-intensive field with few instructional resources for introducing undergraduate students to the requisite skills and techniques for analyzing...
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    Understanding Protein Domains: A Modular Approach
    An understanding of protein structure, function, and interaction is central to biochemistry. One angle into this topic is to engage students in considering protein domains as modules that develop...

    Keywords: Protein Structure

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    Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics Course
    Metagenomics is rapidly evolving due to advances in sequencing technologies and bioinformatics, but without proper training to interpret these datasets, student understanding remains limited. Aimed...

    Keywords: microbiome

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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...
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    Taking the Hassle out of Hasselbalch
    Mention pH in a classroom and you can almost see the inner yawn on the faces of your students. The definition may even roll easily from their lips. However, despite multiple exposures to the...
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    Teaching Genetic Linkage and Recombination through Mapping with Molecular Markers
    Most introductory genetics courses cover genetic linkage, a core concept in the CourseSource genetics learning outcome framework. Although it is a classical genetics topic, genetic linkage remains...
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    Authentic Ecological Inquiries Using BearCam Archives
    Learning through authentic scientific inquiries is essential for understanding the nature and process of science and for developing critical thinking and communication skills. It is logistically...
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    Air Quality Data Mining: Mining the US EPA AirData website for student-led evaluation of air quality issues
    Air pollution directly affects human health endpoints including growth, respiratory processes, cardiovascular health, fertility, pregnancy outcomes, and cancer. Therefore, the distribution of air...
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    Exploration of the Human Genome by Investigation of Personalized SNPs
    Students often shy away from tedious bioinformatics approaches to exploring their genomes. However, in our expanding digital world these skills are some of the most relevant and valuable. To...
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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...
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    You and Your Oral Microflora: Introducing non-biology majors to their “forgotten organ”
    With limited time available for laboratory activities, introductory science courses for non-science majors typically use the laboratory period to reinforce material that was previously presented...
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    Modeling the Research Process: Authentic human physiology research in a large non-majors course
    Laboratory experiences in large-enrollment introductory science courses often utilize “cookie-cutter style” laboratory experiences due to the relative simplicity of setting up the lab...
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    LearnR Apps
    Presentation on using the LearnR software in teaching. Presented at the 2021 BIOME Institute
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    Critical inquiry for inclusive teaching of statistics
    Professional development workshop slides to help curate conversations in teaching statistics with a critical inquiry lens.
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    Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
    This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
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    Statistics with epidemiology of COVID-19
    Introduction into heat maps, non-parametric t-test and GIF (optional) in R using an original dataset on COVID-19 infections from different counties of New Jersey, USA. Suitable for students who...
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    Sequence Similarity: A Quick Introduction to Bioconductor
    Following the Sequence Similarity exercises by Kleinschmit, et al., this tutorial will guide students in using the Bioconductor suite of R packages to likewise compute sequence similarity.
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