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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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    Exploration of the Human Genome by Investigation of Personalized SNPs
    To increase students' interest in their own genomes, this computer-based laboratory lesson is designed to be coupled with the opportunity for the students to be genotyped by the consumer sequencing...
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    Bioinformatics: An Interactive Introduction to NCBI
    Modules showing how the NCBI database classifies and organizes information on DNA sequences, evolutionary relationships, and scientific publications. And a module working to identify a nucleotide...
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    Lesson I - Introduction to Genome Solver
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Part I is the Introduction to the Genome Solver Project.
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    Computational Biology using R
    This is an introductory level course on computational biology.
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    BIO 181G: The information age
    Course materials for BIO181G: The information age
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    Introduction to Genome Browser: What is a Gene?
    In this module, we will use a web-based visualization tool called a Genome Browser to explore the structure of a eukaryotic gene, and obtain a basic understanding of how this information is...
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    BioNumbers-the database of key numbers in molecular and cell biology
    BioNumbers is a database of key numbers in molecular and cell biology—the quantitative properties of biological systems of interest to computational, systems and molecular cell biologists
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    A New Hub for QUBES based on the HUBzero Platform
    Presentation on QUBES and Hubzero given at the Seventh International Symposium on Biomathematics and Ecology: Education and Research 2014, Claremont, CA

    Keywords: QUBESHubZeroCMS

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    Bioinformatics: CpG Islands
    This is an introductory bioinformatics exercise intended for use in a genetics course.
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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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