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    Growing Lung Carcinoma and Lung Fibroblast Cell Lines
    Basic information on how to grow Lung Carcinoma and Lung Fibroblast Cell Lines.
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    Chapter 1: Introduction to R and RStudio
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    Supplemental Materials for Beagle Investigations Return with Darwinian Data Manuscript
    Supplement 1 contains an example laboratory exercise for introducing the BIRDD resources. Supplement 2 contains a list of web accessible data resources to supplement the existing BIRDD resources.
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    BLAST Exercises for Analyzing Cloning Results
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. These activities have modified Lesson 1: Introduction to Genome...
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    Frayer model growth mindset
    A Frayer model worksheet for the concept of growth mindset.
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    Module M.1 R basics for data exploration and management
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Two-Way ANOVA
    In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to...
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    REMNet Tutorial, R Part 3: Creating Alpha Diversity Plots in R 5.2.19
    Video on creating alpha diversity plots in R from the Research Experiences in Microbiomes Network
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    AVIDA exercise on the role of mutation in evolution
    A tested exercise at the college freshmen level using AVIDA-Ed to generate and test a hypothesis about the relationship between mutation rate and the probability of evolving a useful function in...
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    Computational Biology using R
    This is an introductory level course on computational biology.
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    Mysterious Occurrences Instructors Notes
    Answer Key associated with Mysterious Occurrences Module
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    Biostatistical Tools
    This Excel collection of workbooks has tools for: 1. Linear regression through the origin 2. Linear regression not through the origin 3. Polynomial fit 4. A simple chi-square analysis to test...
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    NSF Final Outcomes Report: Using the Lived Experiences and Narratives of Black Heritage and African American Gullah/Geechee to Learn Science Concepts
    This resource is a public report that provides final outcomes from the NSF funded project award # 1928832. The resources included in this report are outcomes from the catalyst project titled:...
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    The Power of Data Standards
    Investigate data standards within the context of the Alpine Chipmunk and the Grinnell Study.
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    BAG Lab Manual Yeast
    This is the lab manual for yeast chromosome synthesis
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    Avian Censys Analysis
    This Swirl course uses ecological data of bird counts and habitat variables to estimate inter-observer variability and the relationship of birds with habitat variables.
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    Prosecutor’s Fallacy and Mammograms Case Study
    An introduction to Prosecutor’s Fallacy, and False Positives/Negatives. By Dr. Diaz Eaton, Bates College, for use in DCS 105A, and inspired by Calling Bull & Calculated Risks.
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    Analyzing Nutrient Simulation Experiments with a one-way ANOVA
    We discuss what tests are appropriate to analyze the data from nutrient simulation experiments. They will conduct one-way ANOVAs and a post hoc test using a dummy dataset and interpret the results.
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    The Effect of Climate Change on Butterfly Phenology - Intro Environmental Science
    In this module, students practice interpreting the relationship between variables before exploring changes in butterfly phenology through the use of natural history collections data.
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    Climate change and Strawberries: A real-life problem-based activity for teaching ANOVA
    This is a real-life lab activity for teaching ANOVA using Problem-Based Learning and formatted for one-day (JMP or R) or two-day (JMP) implementations.
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