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All Categories (1-20 of 174)

  1. (Online) Figure of the Week: Skills for Interpreting Comparative Genomics Figures

    18 Jun 2020 | Teaching Materials | Contributor(s):

    By Robert E Furrow

    University of California, Davis

    Students use their number sense to make observations and explain or guess at patterns shown, discussing in a weekly online Q&A forum.

    https://qubeshub.org/publications/1937/?v=1

  2. 21st Century STEM Workforce Skills

    22 Mar 2020 | Teaching Materials | Contributor(s):

    By Anna Monfils1, Debra Linton1

    Central Michigan University

    This activity includes a leadership assessment and associated exercise to encourage the development of 21st Century STEM Skills.

    https://qubeshub.org/publications/1777/?v=1

  3. 3D breast cancer tissue reconstruction

    24 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Kerri-Ann Norton2

    1. Radford University 2. Johns Hopkins University

    This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.

    https://qubeshub.org/publications/543/?v=1

  4. 3D breast cancer tissue reconstruction

    17 Sep 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Kerri-Ann Norton2

    1. Radford University 2. Johns Hopkins University

    This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.

    https://qubeshub.org/publications/543/?v=2

  5. A Curious Display

    28 Oct 2019 | Teaching Materials | Contributor(s):

    By Margaret Waterman1, Brandon Call, Sandi Connelly2, Kristin Jenkins3, Sam Catherine Johnston4, Vedham Karpakakunjaram5, Viet Le6, Hayley Orndorf7, Melissa Skyer8, Barbara Spiecker9

    1. Southeast Missouri State University 2. Rochester Institute Of Technology 3. BioQUEST 4. CAST Inc. 5. Montgomery College 6. Rochester Institute of Technology 7. University of Pittsburgh 8. National Technical Institute for the Deaf at Rochester Institute of Technology 9. Oregon State University

    Case study on genetically modified organisms

    https://qubeshub.org/publications/1452/?v=1

  6. A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!

    28 Feb 2019 | Teaching Materials | Contributor(s):

    By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5

    1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University

    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.

    https://qubeshub.org/publications/1092/?v=1

  7. A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!

    07 Jun 2019 | Teaching Materials | Contributor(s):

    By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5

    1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University

    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.

    https://qubeshub.org/publications/1092/?v=2

  8. A Hands-on Introduction to Hidden Markov Models

    04 Jan 2019 | Teaching Materials | Contributor(s):

    By Tony Weisstein1, Elena Gracheva2, Zane Goodwin2, Zongtai Qi2, Wilson Leung2, Christopher D. Shaffer2, Sarah C.R. Elgin2

    1. Truman State University 2. Washington University in St. Louis

    A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.

    https://qubeshub.org/publications/999/?v=1

  9. A Tough Choice in Watershed Management

    08 May 2020 | Teaching Materials | Contributor(s):

    By Ann E Russell

    Iowa State University

    In this Team-based activity, students work in teams, playing the role of natural resource managers who must decide in which region to invest limited funding for nutrient reduction in streams....

    https://qubeshub.org/publications/1826/?v=1

  10. A Walk Through the Woods

    09 Jan 2018 | Teaching Materials | Contributor(s):

    By Jerome Chave1, David Coomes2, Steven Jansen3, Simon Lewis4, Nathan Swenson5, Amy Zanne6, Gaby Lopez-Gonzales7, J Ilic, RB Miller8, MC Wiemann9, Samantha Swauger10

    1. The Academy of Europe 2. Cambridge University 3. Ulm University 4. University College London 5. University of Maryland 6. The George Washington University 7. University of Leeds 8. University of California, Berkeley 9. University of Florida 10. DryadLab

    Data driven curriculum module from Dryad Digital Repository

    https://qubeshub.org/publications/274/?v=1

  11. Advanced Sequencing Technologies & Bioinformatics Analysis

    Collections | 18 Feb 2020 | Posted by Wilson Leung

    https://qubeshub.org/community/groups/gea/collections/faculty-training-workshops-in-genomics

  12. Agent-Based Modeling Course Materials

    29 Jan 2019 | Teaching Materials | Contributor(s):

    By Erin N. Bodine

    Rhodes College

    Materials created for an upper level ABM course. Prerequisite: Students have taken either (a) another modeling course, or (b) the introductory computer science sequence.

    https://qubeshub.org/publications/1030/?v=1

  13. An Introduction to Biodiversity Databases and Specimen Images

    04 Dec 2019 | Teaching Materials | Contributor(s):

    By Amanda Fisher

    Long Beach State University

    In this module, students will be introduced to some biodiversity data resources and how to search for and download herbarium specimen images. They will be asked to think critically about the...

    https://qubeshub.org/publications/1493/?v=1

  14. Analyzing Nutrient Simulation Experiments with a one-way ANOVA

    09 Jun 2020 | Teaching Materials | Contributor(s):

    By Rebecca North

    We discuss what tests are appropriate to analyze the data from nutrient simulation experiments. They will conduct one-way ANOVAs and a post hoc test using a dummy dataset and interpret the results.

    https://qubeshub.org/publications/1900/?v=1

  15. Arctos Tutorial - BLUE Resource

    19 Mar 2020 | Teaching Materials | Contributor(s):

    By Erica Krimmel

    A user guide and video instructions for Arctos

    https://qubeshub.org/publications/1768/?v=1

  16. Atmospheric Carbon Dioxide Data Analysis - Draft (1)

    02 Jun 2020 | Teaching Materials | Contributor(s):

    By Mirayda Torres-Avila

    University of Texas - Rio Grande Valley

    Students will be able to analyze real data to review basic statistics. Students will be able to work as a group to determine the best way to present their data.

    https://qubeshub.org/publications/1885/?v=1

  17. Avian Censys Analysis

    23 Jan 2019 | Teaching Materials | Contributor(s):

    By Darcy Taniguchi

    This Swirl course uses ecological data of bird counts and habitat variables to estimate inter-observer variability and the relationship of birds with habitat variables.

    https://qubeshub.org/publications/1025/?v=1

  18. Avida-ED Lab Book Summer 2017

    27 Jul 2017 | | Contributor(s):: Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser

    The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection) 

  19. Biodiversity research using digitized, internet-based natural history collections

    17 Dec 2019 | Teaching Materials | Contributor(s):

    By Kaitlin Stack Whitney

    Rochester Institute of Technology

    Collections based research is a critical tool for organismal biology and biodiversity research. Yet natural history collections have a complicated past. This multi-class module examines the...

    https://qubeshub.org/publications/1553/?v=1

  20. Biogeography of plant-associated fungi: who lives where and why?

    28 May 2018 | Teaching Materials | Contributor(s):

    By Naupaka Bruce Zimmerman1, Peter Vitousek2

    1. University of San Francisco 2. Stanford University

    This dataset of fungal communities associated with the leaves an endemic Hawaiian tree provides students opportunities to explore relationships between environmental variables and microbial...

    https://qubeshub.org/publications/596/?v=1