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    Developing hands-on activities linking plankton and computational thinking
    Poster on computational thinking as a method to help address complex problems, create systems, and understand behaviors presented at the 2018 QUBES/BioQUEST Summer Workshop
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    ModelSim Population Biology Unit
    This resource provides rich student modeling activities and materials, teacher resources, and much more, in the realm of agent based models applied to population biology.
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    Quantitative reasoning: Interdisciplinary STEM 21st century reasoning modality
    Resource from the 2015 BioQUEST Summer Workshop
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    A Quick Guide to Teaching R Programming to Computational Biology Students
    An introduction from an experienced educator in teaching R to computational biology graduate students.
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    Undergraduate Research Experiences in Computational Science at a Community College
    Resource from the 2015 BioQUEST Summer Workshop
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    Overview of the Genomics Education Partnership
    Poster exhibited at the National Association of Biology Teachers (NABT) 2022 conference providing an overview of the Genomics Education Partnership including its benefits to faculty, students, and...
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    Serenity now! Keep calm and do science with real data in the classroom
    Presentation on a free web application currently under development on QUBES called Serenity at the 5th Life Discovery Conference
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    Conference-based Undergraduate Experiences: Lowering the Barrier for Learning about Computational Biology
    Presentation on how attending conferences can enhance computational biology training for undergraduates at the 2019 Great Lakes Bioinformatics Conference
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    Expanding Undergraduate Participation in Computational Biology: Resources and Lessons Learned from a Hands-on Workshop
    Presentation on computational biology in undergraduate education at the 2019 Great Lakes Bioinformatics Conference
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    Cell Collective
    Session presentation on an easy-to-use software, that makes this computational modeling approach accessible to any student and instructor
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    MCC - A National Malate Dehydrogenase Protein-Centric Molecular Life Sciences Couse-based Undergraduate Research Network (RCN-UBE Introduction)
    The MCC is an inclusive national community consisting of faculty, from community colleges, MSI, PUI and Research Intensive institutions teaching and developing Course based Undergraduate Research...
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    Sequence Similarity: Introducing Biological Databases to Community College Biology Students
    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.
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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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    CyVerse: Scalable Image Informatics
    Poster on cyberinfrastructure for the machine learning ere presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity
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    Integration of Bioinformatics into Life Science Curricula: Community Development, Dissemination, and Assessment of a NIBLSE Learning Resource
    Big data and computational tools have transformed the way we address biological questions. To prepare undergraduates for tomorrow’s challenges, life science curricula should integrate the...
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    Learn genomics and bioinformatics through scientific thinking, creation and analysis (virtual and hands-on)
    Nucleic acid are biological molecules composed of nitrogen-containing bases, phosphate groups, and sugar molecules. The complimentary chemical bonding results in formation of double stranded DNA....
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    A Framework for Modeling to Encourage Interdisciplinary Conversations
    Presentation given as part of a minisymposium at SIAM 2016 on interdisciplinary approaches to modeling.
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    Introductory Science and Mathematics Education for 21st-Century Biologists
    A unified introductory science curriculum that fully incorporates mathematics and quantitative thinking aimed to incorporate biology into the traditional quantitative cultures that have come to...
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    BEDE - Biological and Environmental Data Education Network: Preparing Instructors to Integrate Data Science into Undergraduate Biology and Environmental Science Curricula (RCN-UBE Introduction)
    The Biological and Environmental Data Education Network (BEDE Network) develops and shares teacher-training workshops, curricular designs, teaching modules, and best practices to help integrate...
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    Understanding the Quantitative and Computational Skills of Incoming Biology Students
    Presentation given as part of a Minisymposium at BEER 2015.
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