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    Antibiotic Resistance Genes Detection in Environmental Samples
    Our aim is to provide an authentic research experience for undergraduate students in a variety of biology courses through collaboration between a four-year university and a community college. This...
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    Teaching Genetic Linkage and Recombination through Mapping with Molecular Markers
    Most introductory genetics courses cover genetic linkage, a core concept in the CourseSource genetics learning outcome framework. Although it is a classical genetics topic, genetic linkage remains...
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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    Next-generation sequencing is radically changing the study of biology, but there are currently few resources aimed at teaching the required laboratory and data-analysis skills to undergraduate...
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    Using Pathway Maps to Link Concepts, Peer Review, Primary Literature Searches and Data Assessment in Large Enrollment Classes: An example from teaching ecosystem ecology
    As with many other complex topics, teaching ecosystem ecology can be particularly difficult in terms of helping students understand the relationships between the various component parts. We...
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    The Case of the Missing Strawberries: RFLP analysis
    While solving the fictional mystery of the missing strawberries, students are engaged in a guided-inquiry lesson featuring small-group and class discussions, hands-on activities, and laboratory...
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    Homologous chromosomes? Exploring human sex chromosomes, sex determination and sex reversal using bioinformatics approaches
    Constructing a robust understanding of homologous chromosomes, sex chromosomes, and the particulate nature of genes is a notoriously difficult task for undergraduate biology students. In this...
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    RNAseq data analysis using Galaxy
    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
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    Graphing and mapping patterns of air quality in Los Angeles, California through an environmental justice lens.
    Air quality is an environmental issue that impacts everyone in Los Angeles. This activity presents current popular press articles about air pollution and environmental justice and maps and graphs...
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    Exploring EnvironmenATL Justice with Data Analytics and Visualization
    Basic data handling and data analysis skills are introduced to visualize and analyze ‘big data.’ Environmental justice is introduced to give students an understanding of tools and strategies to...
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    Wind and Ocean Ecosystems (Project EDDIE)
    This module introduces students to the concepts of Ekman transport, eastern boundary currents, and upwelling, while learning how to find a location on a map using latitude and longitude, how to...
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    Value of Mistakes. Making Mistakes Using R
    This module allows students to frame mistakes and frustrations during their first introduction to R in terms of improved learning and growth mindset.
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    Online, 10-minute adaptation of Biobyte 1 – Where are we in the data science landscape?
    Adaptation for 10 minute activity in an online meeting to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how...
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    Biobyte 1 - Where are we in the data science landscape?
    This short activity can be used to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how they connect with those...
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    Spatial Justice, Marginal Populations, and Data Integrity
    Spatial justice refers to the consequential geography of a place where spaces are socially produced. Understanding how spatial injustice is created at different spatial scales is an essential part...
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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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    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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    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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    Natural History Collections as Emerging Resources for Innovative Education
    Natural history collections have the potential to help transform undergraduate science education from passive learning into an active exploration of the natural world.
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    Redox Chemistry and Coral Bleaching
    Mapping coral bleaching using NOAA data to set the stage for reviewing redox chemistry concepts
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    Investigating Sexually Transmitted Disease (STD) Ecologies Using Geographic Information Systems (GIS) (Abstract) | TIEE
    Identifying, mapping and understanding the magnitude and the spatial prevalence of the Sexually Transmitted Diseases (STDs) such as chlamydia and gonorrhea diseases. Analyzing the spatial trends of...
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