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    Open Practices Learning Community (OPLC) Post Survey Findings
    Post survey findings of a six-week open practices learning community facilitated by Dr. Karen Cangialosi to explore different components of open practices from April 07, 2021 through May 12, 2021.

    Keywords: STEM Evaluation

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    Visual Datasets
    This downloadable module features imaginary animals and plants, and is meant to aid students in thinking about questions of evolution, classification, and phylogeny.
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    Effects of Laptop Use on Student Learning
    Resource from the 2015 BioQUEST Summer Workshop
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    Analysis of Microbiomes Using Free Web-Based Tools in Online and In-Person Undergraduate Science Courses
    Our understanding of microbiomes, or the collection of microorganisms and their genes in a given environment, has been revolutionized by technological and computational advances. However, many...
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    Chilling in the Cold: Using Thermal Acclimation to Demonstrate Phenotypic Plasticity in Animals
    The lesson plan described here provides students hands-on, scientific experiences that relate to the globally important issue of climate change and its impacts on animals. Students use the...
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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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    RNAseq data analysis using Galaxy
    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
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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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    Biostatistics using R: A Laboratory Manual
    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 to...
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    Ethics in Synthetic Biology
    This collection of five activities provide students with an introduction to thinking about ethical concerns in human genome synthesis, gene editing, metabolic engineering, and synthetic genomes.
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    Investigating human impacts on stream ecology: locally and nationally
    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally? This is an adaptation of the module that includes statistical testing and links sections to a lab report...
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    Data Science as a Superpower
    Presentation on data science education given at the 2019 BioQUEST & QUBES Summer Workshop
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    Should we synthesize a human genome?
    Two articles introducing the Human Genome Project-Write and asking questions about the ethics of the project.
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    Bioinformatics / Neuroinformatics
    This module is a computer-based introduction to bioinformatics resources.  This easy-to-adopt module weaves together several important bioinformatic tools so students can grasp how each is used in...
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    SUMS4Bio - Video tutorials in math and stats for biology students
    Links to videos and pdf tutorials for core mathematical and statistical concepts used in biology
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    Spreadsheet Data Analysis Tutorial Series
    This series of self-paced tutorials show how to analyze data using a spreadsheet program.
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    Modernizing Statistics Education via Biology Applications
    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education
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    Introduction to Quantitative Biology - Fall 2014 Syllabus
    Syllabus for Introduction to Quantitative Biology taught at the College of William and Mary.

    Keywords: quant biosyllabus

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    SEAS CURE: Exploring Coral Biology Across Scales
    Complex biological concepts (like symbiosis and coral biology) that span multiple scales and cross disciplinary boundaries are often difficult for students to understand. This complexity is...
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    2015-Zhang-EtAl-On the Selection of ODE Models with Application to Predator-Prey Dynamical Models
    We propose a computationally inexpensive approach that employs statistical estimation of the full model, followed by a combination of a least squares approximation (LSA) and the adaptive Lasso.
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