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    Discrete Modeling and Structures (Course Materials)
    These are the materials for DCS course offered at Bates College. This is a sampler of structures and ways they are used to model biological and social phenomena.
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    Using Undergraduate Molecular Biology Labs to Discover Targets of miRNAs in Humans
    In this lesson, we describe an easily adaptable lab module that can be used in existing undergraduate molecular biology lab courses to conduct authentic scientific research, published in CourseSource
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    A Structured Inquiry Approach to Cotyledon Phenotyping
    In this lab, students will work with messy data to try to answer the question “How do plants inherit cotyledon color?”
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    MathBench: Evolved Immunity for Introductory Environmental Science
    The Evolved Immunity module was the focal module for this lesson. Evolved Immunity was chosen because this module includes content and quantitative elements from a range of lab and lecture topics...
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    Introduction to Mathematical Modeling in Biotechnology, Cell Biology, and Physiology
    The course is a mathematical and computational exploration of five diverse areas of biology: human locomotion, gene sequence analysis, signal transduction pathways involved in cancer,...
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    Tools: New tools for new science
    A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.
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    OpenIntro
    OpenIntro was started with one goal in mind: create a free and open-source introductory textbook.
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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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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis
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    Mutation and Selection: An Exploration of Antibiotic Resistance in Serratia Marcescens
    This laboratory module gives students hands-on experience with mutation and selection in bacteria.
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    An Introduction to Statistical Learning: with Applications in R
    This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
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    Laboratory exercises on microbial growth, horizontal gene transfer, competition and evolution
    Simple laboratory exercises to reinforce student learning when performed in conjunction with NetLogo simulations.

    Keywords: microbiology

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    Plants by the Numbers
    Session presentation on quantitative botanical activities at the 2018 QUBES/BioQUEST Summer Workshop
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    A Structured Inquiry Approach to Cotyledon Phenotyping
    In this lab, students will work with messy data to try to answer the question “How do plants inherit cotyledon color?”
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    Exploring the Lotka-Volterra Competition Model using Two Species of Parasitoid Wasps
    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 2
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