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    Making toast: Using analogies to explore concepts in bioinformatics
    Module using analogies to introduce students to genomics
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    Finding Selection in All the Right Places
    Lab introducing students to evolutionary genetics using bioinformatics and biocuration, published as GSA Learning Resource
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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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    Behavioral Genetics: Investigating the genes of a complex phenotype in fruit flies
    Introductory genetics laboratory published as GSA Learning Resource
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    The nose knows: How tri-trophic interactions and natural history shape bird foraging behavior. An introduction to statistical analysis in animal behavior research
    Students investigate the role of olfaction and infochemicals on bird foraging behavior through two different quantitative activities where they generate hypotheses, create figures, conduct data...
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    Morphological, Anatomical and Molecular Analysis of Plant Phylogeny and Diversity
    In this lab, students perform phylogenetic analyses on morphological, anatomical and molecular data, and compare.
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    Phylogeny of Land Plants
    In this lab, students review the characteristics of the major land plant lineages. Then they perform phylogenetic analyses based on morphological characters.
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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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    Data Management Adaptation: Correlating Forest Community Dynamics to Climate
    Students use vegetation structure data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by correlating...
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    Developing quantitative skills for ecological data: the effects of climate warming on phenological variation and species interactions
    Students combine long-term observational data sets and experimental warming in an alpine meadow in Gothic, CO to test, evaluate, and interpret ecological data focusing on phenological variation and...
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    The Mystery of the Missing Martens
    National Center for Case Study Teaching in Science- this interrupted case study introduces basic modeling to investigate a decline in an American marten population on an island in Southeast Alaska.
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    How Many More Thymes? A Case of Phytochemical Defense
    National Center for Case Study Teaching in Science- this clicker case addresses several concepts related to the evolutionary ecology of herbivore defenses.
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    Selection and the Blond Beach Mouse
    National Center for Case Study Teaching in Science- this "clicker" case study explores ultimate and proximate explanations for cryptic coloration in animals.
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    Math and Stats in the Biology Classroom with HHMI BioInteractive
    Conquer basic math and statistics used in biology while exploring classroom-ready resources. Concepts include central tendency and variation, spreadsheet skills, graphing, and data analysis with...
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    Introduction to R Course
    Free Introduction to R Course at DataCamp
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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
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    50 Years of Data Science
    This paper reviews some ingredients of the current “Data Science moment”, including recent commentary about data science in the popular media, and about how/whether Data Science is really...
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    Computational Biology using R
    This is an introductory level course on computational biology.
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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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    Statistical Exploration of Climate Data
    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.
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