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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
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    Introduction to R Course
    Free Introduction to R Course at DataCamp
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    Out of Your Seat and on Your Feet! An adaptable course-based research project in plant ecology for advanced students
    University capstone projects can offer science students a rich research experience that illustrates the process of doing scientific research, and can also help students better choose future...
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    Making toast: Using analogies to explore concepts in bioinformatics
    Contemporary biology is moving towards heavy reliance on computational methods to manage, find patterns, and derive meaning from large-scale data, such as genomic sequences. Biology teachers are...
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    Assessment of Science Inquiry
    Resource from the 2015 BioQUEST Summer Workshop
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    The Case of the Missing Strawberries: RFLP analysis
    While solving the fictional mystery of the missing strawberries, students are engaged in a guided-inquiry lesson featuring small-group and class discussions, hands-on activities, and laboratory...
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    Amylase Copy Number and Diet
    An adapted module from HHMI Spreadsheet Tutorials using amylase data for students to gain data analysis and excel skills
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    Figure of the Week: Environmental Data Analysis/Statistics Version
    Adaptation of Figure of the Day activity used on a weekly basis in an environmental data analysis/statistics course.
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    Implementing an online module about the implications of gold mining in the Amazonian rainforest for a community college ecology course
    This online module describes the implications of gold mining in the Amazon Rainforest, introduces students to ecological concepts, and explores human-environment connections. The implementation...
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    Chi-squared test of independence between two categorical variables
    In this lesson, students will have the opportunity to work through a chi-squared test of independence between two categorical variables.
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    Project MOSAIC
    Our goal: Provide a broader approach to quantitative studies that provides better support for work in science and technology.
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    Thinking deeply about quantitative analysis: Building a Biologist's Toolkit
    Vision and Change in Undergraduate Biology Education encouraged faculty to focus on core concepts and competencies in undergraduate curriculum. We created a sophomore-level course, Biologists'...
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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis
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    An Active Textbook Converts "Vision and Tweak" to Vision and Change
    Multiple reports over more than a century have documented the problems with the way introductory biology has been taught in most colleges and universities. An influential recent report, Vision and...
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    2003-Knorrenschild-Gross-Text Books on Mathematical Modeling in Biology
    Text Books on Mathematical Modeling in Biology Compiled from the Internet by Michael Knorrenschild,
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    Coding Club: A Positive Peer-Learning Community
    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
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    Spreadsheet Data Analysis Terms and Shortened Tutorial 4
    Introductory students are asked to learn terms for descriptive statistics and complete a matching exercise. Tutorial 4 was shorted to just the full calculations of t values.
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    Calculus, Zombies, Community, and QUBES
    Presentation discussing approaches to determining the content and delivery structure for quantitative integration into the curriculum of foundational courses in both statistics and calculus for the...
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    Infectious Chocolate Joy with a Side of Poissonian Statistics: An activity connecting life science students with subtle physics concepts
    Introductory physics courses are required for many programs in the life sciences, yet traditional curricula fail to help students meaningfully connect physical concepts with biological...
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    Teaching R with Swirl
    Session presentation on using Swirl, an interactive platform for learning and teaching R in the R console
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