Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem

Tags: bioinformatics

All Categories (1-20 of 157)

  1. Steven M Caruso

    https://qubeshub.org/community/members/16786

  2. Christine Girtain

    https://qubeshub.org/community/members/16621

  3. Brian J Gadd

    https://qubeshub.org/community/members/16615

  4. Rob Denton

    https://qubeshub.org/community/members/16534

  5. Rob Denton

    https://qubeshub.org/community/members/16533

  6. Yeti or not: Do they exist?

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

    By Keith Johnson

    Bradley University College of Liberal Arts and Sciences

    Through this 2-part bioinformatics case study, students will be led through the forensic analysis of putative Yeti artifacts based on published findings.

    https://qubeshub.org/publications/1832/?v=1

  7. Arianna Krinos

    https://qubeshub.org/community/members/16399

  8. Needleman - Wunsch Algorithm Exercise

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

    By Michael Sierk1, Sam S Donovan2, Neal Grandgenett, Bill Morgan3, Mark A. Pauley4, Elizabeth F Ryder5

    1. Saint Vincent College 2. University of Pittsburgh 3. The College of Wooster 4. University of Nebraska at Omaha 5. Worcester Polytechnic Institute

    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.

    https://qubeshub.org/publications/28/?v=4

  9. JP Pablo Dundore-Arias

    https://qubeshub.org/community/members/15972

  10. Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2

    03 Apr 2020 | Teaching Materials | Contributor(s):

    By Maria Shumskaya1, Nicholas Lorusso2

    1. Kean University 2. Kean Univeristy

    Introduction into computational approaches in phylogeny and protein modeling based on coronavirus SARS-CoV-2 (caused COVID-19 pandemic). Two self-guided tutorials for standard lab classes of 2.5...

    https://qubeshub.org/publications/1796/?v=1

  11. Michelle Jusino

    https://qubeshub.org/community/members/15779

  12. Karolina Fucikova

    https://qubeshub.org/community/members/15644

  13. Melissa Jurica

    https://qubeshub.org/community/members/15539

  14. 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

  15. Population Demography in Swirl

    06 Nov 2019 | 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=3

  16. Genome Solver: Complete Set of Lessons

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

    By Anne Rosenwald1, Gaurav Arora2, Vinayak Mathur3

    1. Georgetown University 2. Gallaudet University 3. Cabrini University

    The Genome Solver Project began as a way to teach faculty some basic skills in bioinformatics - no coding or scripting. These Lessons also work well in the undergraduate classroom, culminating with...

    https://qubeshub.org/publications/860/?v=2

  17. Oct 10 2019

    Integration of Bioinformatics into Life Science Education: Roadmap for the Future

    NIBLSE is an NSF-funded Research Coordination Network that facilitates the integration of bioinformatics into life science curricula. The long-tern goal of NIBLSE is to achieve the full...

    https://qubeshub.org/news/events/details/1719

  18. Population Demography in Swirl

    26 Sep 2019 | 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=2

  19. René Welch

    https://qubeshub.org/community/members/13391

  20. Erika Schwarz Taylor

    https://qubeshub.org/community/members/13389