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Tags: genomics

All Categories (1-20 of 70)

  1. Amaya Maria Garcia Costas

    https://qubeshub.org/community/members/16916

  2. Rob Denton

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

  3. Louse Genetics, Genomics, and Gene Function...Oh My!

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

    By Anna Monfils1, Julie Allen, Brad W Goodner, Debra Linton1

    Central Michigan University

    In this module, students will be investigating a louse gene with an unknown function to determine if it might be important in the evolution of the louse ecomorphs.

    https://qubeshub.org/publications/1818/?v=1

  4. Loren Annikki Launen

    https://qubeshub.org/community/members/15808

  5. Joshua Cooper

    https://qubeshub.org/community/members/15458

  6. Alexa A Sawa

    https://qubeshub.org/community/members/14524

  7. Erika Schwarz Taylor

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

  8. Aug 15 2019

    2019 Build A Genome Network Workshop

    The goals of our national workshop are:To introduce faculty to the field of synthetic biology (and specifically synthetic genomics)To provide faculty with the resources and tools to be able to...

    https://qubeshub.org/news/events/details/1736

  9. Erin R. Morris

    https://qubeshub.org/community/members/12574

  10. Mark William Frazier

    https://qubeshub.org/community/members/12571

  11. Nicole M. Vega-Cotto

    https://qubeshub.org/community/members/12486

  12. Mark Ewusi Shiburah

    https://qubeshub.org/community/members/12335

  13. 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

  14. May 30 2019

    Genomics Workshop Pilot and BugBBQ

    This February, a small group of committed community members, led by Taylor Reiter at the University of California, Davis, completed a major update to the Data Carpentry Genomics curriculum. This...

    https://qubeshub.org/news/events/details/1729

  15. William M Maza

    https://qubeshub.org/community/members/11616

  16. Rachael M St. Jacques

    https://qubeshub.org/community/members/11576

  17. 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

  18. Mao-Lun Weng

    https://qubeshub.org/community/members/10881

  19. Making toast: Using analogies to explore concepts in bioinformatics

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

    By Kate L. Hertweck

    University of Texas at Tyler

    Module using analogies to introduce students to genomics

    https://qubeshub.org/publications/1003/?v=1

  20. 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