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    A Fun Introductory Command Line Lesson: Next Generation Sequencing Quality Analysis with Emoji!
    Radical innovations in DNA sequencing technology over the past decade have created an increased need for computational bioinformatics analyses in the 21st century STEM workforce. Recent...
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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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    Interconnections in The Open Ecosystem
    Presentation on open education and open science given as the keynote address at the 2019 BioQUEST & QUBES Summer Workshop
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    Answer Checking - Teaching Notes
    I used this resource as-is. Included are my teaching notes. / This activity provides students with a set of strategies they can use to check their own answers. Students practice the answer checking...
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    QB@CC- Quantitative Biology at Community Colleges (RCN-UBE Introduction)
    Quantitative Biology at Community Colleges (QB@CC) is a National Science Foundation (NSF) supported project that received funding in 2019. The long-term goal of QB@CC is to drive the disciplinary...
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    THE IMPORTANCE OF GREEN SPACES & NATIVE PLANTS TO URBAN AVIFAUNA: A Lesson on how urban residential yards can support birds during their annual cycle
    In this lesson students will learn about the impacts of urbanization, and the conservation challenges it poses to wildlife, in particular avifauna. Introductory ecology topics such as the theory of...
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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...
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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...
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    Introduction to the Math Modeling Hub
    The Math Modeling Hub (MMHub) is an online community of practice and OER resource repository for math modeling educators at all grade levels. We have been a partner with QUBES since our initial...
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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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    Open QUBES - A Faculty Use Case of Open Practice
    QUBES has been a critical component of my continued success as an open scholar. This poster details several of these outcomes with my lived experience working with QUBES as an Open scholar as a...
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    Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE
    We introduce TRACE, a framework for documenting model testing and analysis. TRACE is based on the recently proposed framework of model "evaluation" , and is designed to make models fit for...
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    Single Cell Insights Into Cancer Transcriptomes: A Five-Part Single-Cell RNAseq Case Study Lesson
    There is a growing need for integration of “Big Data” into undergraduate biology curricula. Transcriptomics is one venue to examine biology from an informatics perspective. RNA sequencing has...
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    Film as a Powerful Tool for Increasing Awareness of the Importance of Belonging in STEM
    People of color in STEM fields can face a variety of challenges with belonging due to structural, cultural, psychological, and institutional barriers. The professional development sessions...
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    Data-Driven Decision-Making: Antarctic Fisheries
    This is an entire module for a general education data science and ecology course. The module was originally designed as the fourth and final section of the course; the full course is openly...
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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.1 R basics for data exploration and management
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.8 Survival analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.6 Generalized linear models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.4 Simple linear regression analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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