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1. Population Demography in Swirl

   10 Oct 2020 | Teaching Materials | Contributor(s):

   By Emily Weigel

   Georgia Institute of Technology

   The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.

   https://qubeshub.org/publications/1214/?v=5

2. 

   Alex R Borrell

   https://qubeshub.org/community/members/17733

3. GEA Introductory lesson on RNA-Seq

   25 Jul 2020 | Teaching Materials | Contributor(s):

   By Jason Williams¹, Judy Brusslan², Ray Enke³, Matthew Escobar⁴, Vince Buonaccorsi⁵

   1. Cold Spring Harbor Laboratory 2. California State University Long Beach 3. James Madison University 4. California State University San Marcos 5. Juniata College

   This RNA-Seq lesson uses the CyVerse VICE Platform and Jupyter notebooks to examine the expression of the leptin gene in samples from a mouse experimental design evaluating diet (high-fat vs....

   https://qubeshub.org/publications/1988/?v=1

4. 

   Stephan Koenig

   https://qubeshub.org/community/members/17203

5. The Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE): Barriers to Integration

   23 Jul 2020 | Teaching Materials | Contributor(s):

   By Anne Rosenwald¹, Elizabeth Dinsdale², William Morgan³, Mark A. Pauley⁴, William Tapprich⁵, Eric Triplett⁶, Jason Williams⁷

   1. Georgetown University 2. San Diego State University 3. The College of Wooster 4. University of Nebraska at Omaha 5. University of Nebraska-Omaha 6. University of Florida 7. Cold Spring Harbor Laboratory

   The Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE) seeks to promote the use of bioinformatics and data science as a way to teach biology.

   https://qubeshub.org/publications/1978/?v=1

6. 

   Rosa Aristy

   https://qubeshub.org/community/members/17168

7. 

   Paige Yeung

   https://qubeshub.org/community/members/16908

8. Diversity, Equity, and Inclusion in Ecology: Introducing the Environmental Data Science Inclusion Network (EDSIN)

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

   By Alycia Crall¹, Carrie Diaz Eaton², Megan A. Jones¹, Claire Lunch¹, Katherine Jones³

   1. National Ecological Observatory Network 2. Unity College 3. NEON / Battelle

   The Environmental Data Science Inclusion Network (EDSIN) was launched in the spring of 2019 following an NSF INCLUDES conference. This poster, summarizing the event, was presented at the 2019...

   https://qubeshub.org/publications/1857/?v=1

9. Curriculum: Calling Bullshit-The Art of Skepticism in a Data Driven World

   Collections | 15 May 2020 | Posted by Alycia Crall

   https://qubeshub.org/community/groups/edsin/collections/educational-resources

10. B(ui)LDS: Biological, Universal, and Inclusive Learning in Data Science

    Collections | 13 May 2020 | Posted by Alycia Crall

    https://qubeshub.org/community/groups/edsin/collections/organizations-and-initiatives

11. Academic Data Science Alliance

    Collections | 13 May 2020 | Posted by Alycia Crall

    https://qubeshub.org/community/groups/edsin/collections/organizations-and-initiatives

12. 

    Ethan White

    https://qubeshub.org/community/members/16409

13. 

    Albert Y. Kim

    https://qubeshub.org/community/members/16323

14. Data Ethics

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

    By Rebecca Renirie

    Central Michigan University

    Data ethics and the use of digital data

    https://qubeshub.org/publications/1765/?v=1

15. 

    Joanne Sylvia Luciano

    https://qubeshub.org/community/members/15433

16. Data Carpentry Genomics Workshop

    Collections | 18 Feb 2020 | Posted by Wilson Leung

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

17. DataCamp

    Collections | 18 Feb 2020 | Posted by Wilson Leung

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

18. Population Demography in Swirl

    12 Feb 2020 | Teaching Materials | Contributor(s):

    By Emily Weigel

    Georgia Institute of Technology

    The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.

    https://qubeshub.org/publications/1214/?v=4

19. 

    Yingying Xie

    https://qubeshub.org/community/members/14523

20. 

    Shekhar Shukla

    https://qubeshub.org/community/members/14349