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    Multiple choice quiz questions for biostatistics
    A set of 157 multiple choice quiz questions for biostatistics courses, organized and searchable by 18 concepts/skills.
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    BIO103R: Bio 103 and 104 Labs in R at URI
    GitHub repository for Bio 103 and 104 Labs in R at University of Rhode Island

    Keywords: R

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    R for biologists
    An introductory guide to data analysis in R for life sciences researchers.

    Keywords: R

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    Introduction to R with Biodiversity Data
    Students will learn R basics while downloading biodiversity data from multiple data repositories. This module will walk students through installing R, navigating R,writing reproducible scripts in...
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    REMNet Tutorial, R Part 4: Creating Taxa Plots in R 5.2.19
    Video on making taxa bar plots in R from the Research Experiences in Microbiomes Network
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    Calculating and Comparing Biodiversity Materials Across Sites Using NEON Herbaceous Vegetation Data - a Tutorial
    These materials are intended for use at the undergraduate level. They employ R and Excel software.
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    Applying phylogenetic tree building in MEGA X to forensic applications for identifying unknown specimens
    This exercise is designed to guide a learner through the construction of phylogenetic trees as a means of addressing research questions in forensic science such as the identification of previously...
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    OCELOTS - A Network for Facilitating Online Content for Experiential Learning of Tropical Systems (RCN-UBE Introduction)
    The OCELOTS Network connects tropical biology researchers with specialists in pedagogy, 4DEE, software, and media to create and implement research-based online modules in tropical biology,...
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    Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2
    Introduction into computational approaches in phylogeny and protein modeling based on coronavirus SARS-CoV-2 (caused COVID-19 pandemic). Two self-guided tutorials for standard lab classes of 2.5...
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    Are you teaching biostatistics with R? Suggestions to help you as work with your students.
    Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource...
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    An Introduction to the R Programming Environment
    An online module introducing students and biologists to R, published in American Phytopathological Society
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    Three Research-Based Quantitative Reasoning Modules for Introductory Organismal Biology Laboratories
    We have designed three laboratory modules for an introductory organismal biology course with an emphasis on quantitative reasoning and data analysis skills. Module 1 tests for dimorphism in...
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    Module M.7 Generalized linear mixed-effects models
    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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    A Quick Guide to Teaching R Programming to Computational Biology Students
    An introduction from an experienced educator in teaching R to computational biology graduate students.
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    Chapter 3: Visualizing data
    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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    REMNet Tutorial, R Part 2: Importing Your Microbiome Data into R 5.3.19
    Video on importing data into R from the Research Experiences in Microbiomes Network
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    Exploring the population dynamics of wintering bald eagles through long-term data using R
    The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was...
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    Populus: Simulations of Population Biology
    Link to Populus Software
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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
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    LearnR Apps
    Presentation on using the LearnR software in teaching. Presented at the 2021 BIOME Institute
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