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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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    Working with plant phenology data and fitting a nonlinear model using least squares in R
    A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to determine when different species get and lose their leaves.
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    Pre-lesson: Introduction to BLAST
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. This pre-lesson introduces the BLAST tool.
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    Pre-lesson: Introduction to BLAST
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. This pre-lesson introduces the BLAST tool.
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    Pre-lesson: Introduction to BLAST
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. This pre-lesson introduces the BLAST tool.
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    R Subsetting Tutorial
    The students will practice manipulating data to add to or extract subsets of specific values, rows, columns, or subsets of data contained in existing data files.
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    Population Demography in Swirl
    The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
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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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    Digital Herbarium Lab with RStudio: Are shifting abundances of native species detectable over time?
    This 2- to 3-hour lab activity introduces sophomore-level students to digitized herbarium collections, R-coding, and potential reasons for shifting abundances in native and non-native plant species...
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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)
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    Island Biogeography
    The students will practice the basic code to test MacArthur and Wilson’s (1967) Island Biogeography model, focusing on how island size, distance, and perturbation affect species numbers.
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    Neochromosomes: Creating transcriptional units with yeast Golden Gate assembly
    This resource is a series of protocols using the yeast Golden Gate (yGG) method as developed by Neta Agmon and Leslie Mitchell in Jef Boeke’s lab to assemble a functional yeast gene with...
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    An Introduction to Agent-Based Modeling in Biological Systems Using NetLogo: Workshop Manual
    An introduction to the basics of agent based models, stepping through the creation of a model of bacterial population growth in NetLogo. Aimed at undergrad and graduate students with little-to-no...
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    Lesson II - Databases
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson II introduces the principal databases for microbial...
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    Understanding Action Potential and Frequency Coding using Scientist Spotlight and Data Nuggets
    The main crux of this activity is to integrate three existing frameworks including ideas of the Scientist Spotlight Initiative, build and solidify the quantitative reasoning skills in our students...
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    BLAST Exercises for Analyzing Cloning Results
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. These activities have modified Lesson 1: Introduction to Genome...
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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.
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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...
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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...
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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...
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