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    Incubators: A community based model for improving the usability of bioinformatics learning resources
    Poster on Incubators, a NIBLSE and QUBES collaboration presented at Great Lakes Bioinformatics Conference - Chicago, IL

    Keywords: NIBLSEincubators

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    Environmental Justice and Freshwater Resources
    This module enables students to identify the freshwater components of the hydrologic cycle and connect them to the basic need of all human beings for equal access to clean freshwater.
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    QUBES: a community focused on supporting teaching and learning in quantitative biology
    This letter provides an overview of the Quantitative Undergraduate Biology Education and Synthesis (QUBES) Project funded through the National Science Foundation.
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    Faculty Mentoring Networks: A model for professional development in undergraduate quantitative biology education
    Presentation given at ESA 2016 on Faculty Mentoring Networks.
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    Design, Implementation, and Evaluation of Faculty Mentoring Networks: A Model for Promoting Faculty Teaching Scholarship
    Presentation given as part of NABT Symposium discussing faculty mentoring networks and faculty teaching scholarship.
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    Designing undergraduate biology curricula to teach skills and knowledge for data-intensive environmental research
    Poster presented at Ecological Society of America Annual Conference 2017.

    Keywords: data literacy

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    Student-led evaluation of air quality issues using the US EPA AirData website
    Presentation made by Katherine Berry et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of...
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    Enabling authentic ecological inquiries using research data and imageries in large classrooms
    Presentation made by Ben Wu et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America annual...
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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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