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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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    Computational Biology using R
    This is an introductory level course on computational biology.
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    BioNumbers: The Database of Useful Biological Numbers
    A database of biological numbers that you can search and browse.
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    Bioimage Informatics Activity
    Students use basic bioimage informatics techniques to acquire quantitative data from images of cultured cells and test a hypothesis about the effect of a genetic mutation on cellular phenotypes
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    Using CREATE in the Undergraduate Ecology Classroom
    Poster on using the CREATE (Consider, Read, Elucidate the Hypothesis, Analyze and Interpret the Data, and Think of the Next Experiment) approach pioneered in molecular and cellular biology classes...
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    Environmental Drivers of Ecosystem Carbon Fluxes from Minutes to Years
    Students build on fundamental concepts of ecosystem production and carbon cycling, combining this knowledge with open long-term data from ecological and meteorological networks to uncover the...
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    Visualization: Quantitative reasoning via image analysis, networks, topology, generative models, and 3D rendering
    Resource from the 2015 BioQUEST Summer Workshop
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    Robot vs. Disease: Using CellProfiler to model biomedical research in your classroom
    Resource from the 2015 BioQUEST Summer Workshop
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    Cancer Discovery Activities
    These two hands-on activities are based on a Howard Hughes Medical Institute 2013 Holiday Lectures on Science video (http://www.hhmi.org/biointeractive/cancer-genetic-disease-video-highlights)...
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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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    RNA-seq Analysis
    In this computer lab module, students learn how to process an RNA-seq data set to identify differentially expressed genes (DEGs). The samples for this data set were collected from yeast cells...
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