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    Nicholas' Story
    This 3 part case on sickle cell disease focuses on visualizing and understanding the molecular basis of its cause, symptoms, complications, management, treatment, and possible cures.
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    COVID-19: On the way to a vaccine
    This multi-part case study introduces the reader to the SARS-CoV-2 virus origins, the molecular basis of the infection, the development and severity of symptoms, and treatment.
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    Understanding COVID-19 Biology to Design a Vaccine
    This multi-part case study introduces the reader to the SARS-CoV-2 virus, replication, and treatment. Additional worksheets introduce students to bioinformatics tools of 3-D protein visualization...
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    COVID-19: Molecular Basis of Infection
    This case was written in Spring 2020 during the COVID-19 pandemic. It focuses on understanding the structure and interaction of the SARS-Cov-2 viral spike protein that facilitates infection in...
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    A Case of Severe Insulin Resistance
    This case focuses on understanding how a mutation in a cell signalling protein (a kinase) can prevent insulin function and lead to diabetes.
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    Evolution of Caffeine Biosynthesis Enzymes
    This case focuses on exploring why plants make secondary metabolites like caffeine and how the enzymes required for making caffeine evolved.
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    Piwi Matters
    This case focuses on understanding structure and function relationships in Piwi, a protein that is critical for germline stem cell function and development of eggs in the fruit fly ovary.
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    Waking up Anna
    This case focuses on understanding the molecular basis of Anna's sleeping disorder and its treatment.
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    Happy Blue Baby
    This case, about a specific mutant of hemoglobin, focuses on visualizing and understanding the molecular basis of why an infant turned blue soon after birth and how the cyanosis resolved on its own...
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    Nicholas' Story
    This 3 part case on sickle cell disease focuses on visualizing and understanding the molecular basis of its cause, symptoms, complications, management, treatment, and possible cures.
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    4

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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...
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    Figure of the Day: Identifying Ambiguity and Biases in Data Figures
    The adaptation focuses on presenting figures with all the information in their axes. However, such figures present a medium level of quality to encourage students to discuss conceptually in groups...
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    Coding Club: A Positive Peer-Learning Community
    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
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    Data Visualization
    This is an introduction to the idea of data visualization and the importance of presenting data for understanding.
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    Communicating with Data: Digital Data Resources
    Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
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    Communicating with Data: Infographic with Digital Data
    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.
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    Responses to Climate Change in California Chipmunks: Move, Adapt, or Die
    A series of three modules using data from natural history museum collections to examine responses to climate change in multiple chipmunk species. Elevation and morphological data, beginner skills...
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    One-way ANOVA in R with swirl
    One-way analysis of variance (ANOVA), following the text in Chapter 5 of Beckerman et al. (2017) Getting started with R: an introduction for biologists, 2nd edition.
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    Get Started With GIS in Open Source Python Workshop
    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...
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    Writing Clean Code in R Workshop
    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
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