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    Lesson III - Annotation
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all...
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    Lesson V - Phylogenetics
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson V is an introduction to Phylogenetics.

    Keywords: Bioinformatics EducationBioinformatics and Genomics

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    2014

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    Lesson IV - Comparative Genomics
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson IV, Comparative Genomics, discusses some of the tools...

    Keywords: Bioinformatics EducationBioinformatics and Genomics

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    Working with spreadsheet-style data in Python with pandas and seaborn
    This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of...

    Keywords: datapythonopenSpreadsheetbicylepandasseabornmatplotlib

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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...

    Keywords: data in the classroomdata interpretationprecipitationstream dischargePalmer Drought Severity IndexlidarEcological Disturbancedisturbance ecologyHigh School

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    Calling Bullshit DCS 105 Bates College RByte Worksheets
    These are handout worksheets for your in-class RByte activities.

    Keywords: RActivityGoogle CoLabCalling BullshitRByteData PracticeCoding SkillsSkill development

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    Tree Biomass and Phenology
    This lesson centers around understanding the connection of tree biomass and phenology with climate change. It uses both swirl and LearnR lessons in the R programming language to help students make...
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    Understanding Gene Prediction Programs
    Introduces students to the key biological concepts underlying computational gene prediction. Outcomes include ability to analyze and evaluate output of gene prediction programs, and reflect on...

    Keywords: Genome annotationSEA-PHAGESgene predictiongenemarkcoding potentialcodon biassix frame translation

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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...

    Keywords: RlandscapebiomassProblem Solvingraster raster data processingspatial data visualizationvegetation indicescanopy

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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...

    Keywords: ecologyundergraduate education

    1130

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    762

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    Calling Bullshit Bates College DCS 105 RByte Slides
    This slide deck is a mix of in-class participation and coding activities which aims to formalize understanding of code.

    Keywords: RIntroductorybatescolabDCS 105Calling Bullshit

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    Lesson III - Annotation
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all...

    Keywords: Bioinformatics EducationBioinformatics and Genomics

    739

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    317

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    Basic Statistics
    The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.
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    Genome Solver: Complete Set of Lessons
    The Genome Solver Project began as a way to teach faculty some basic skills in bioinformatics - no coding or scripting. These Lessons also work well in the undergraduate classroom, culminating...

    Keywords: bioinformaticsNIBLSEBioinformatics EducationBioinformatics and GenomicsC4. Bioinformatics toolsC5. Data retrievalC6. ModelsC8. Data typesC9. ImplicationsRecommended by NIBLSE

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    Exploring the population dynamics of wintering bald eagles through long-term data using R
    The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was...

    Keywords: Resources @ ESA - TIEEcase studyR programming languagepopulation ecologyendangered speciesconservation biologymigration ecologyggplot2

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    Teaching logistic population growth and ecological modelling
    The lesson is designed to 1) teach students about the concept of logistic population growth, growth rates, and carrying capacity and 2) provide a basic introduction to ecological modeling and...
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    Data simulation and randomization tests
    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
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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.

    Keywords: Bioinformatics EducationBioinformatics and Genomics

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    Laboratory exercises on microbial growth, horizontal gene transfer, competition and evolution
    Simple laboratory exercises to reinforce student learning when performed in conjunction with NetLogo simulations.

    Keywords: microbiology

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    639

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    Sample NetLogo Code of Bacterial Growth
    Each NetLogo file is a sequential version of the final bacterial growth model produced in the Bacterial Growth Tutorial. These are to be used as checks to one's understanding alongside the tutorial.
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