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Tags: RNAseq

All Categories (1-13 of 13)

  1. 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

  2. Genomics Education Alliance: Towards Genomics CURE templates

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

    By Vince Buonaccorsi1, Arthur Hunt2, Emily Wiley3, Sandesh Subramanya4, Wilson Leung5, Sally Elgin6

    1. Juniata College 2. University of Kentucky Lexington 3. Claremont McKenna College 4. Austin Community College 5. Washington University in St. Louis 6. Washington University - St. Louis

    Here we present major findings of a national survey of faculty teaching genomics CUREs conducted by the GEA, and our work on presenting relevant resources on the QUBES web portal.

    https://qubeshub.org/publications/1982/?v=1

  3. Erika Schwarz Taylor

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

  4. Judy Brusslan

    https://qubeshub.org/community/members/11982

  5. Margaret S Saha

    https://qubeshub.org/community/members/11772

  6. Plasmodium Problem Space

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

    By Sam S Donovan

    University of Pittsburgh

    This problem space brings together diverse resources with the goal of helping biology teachers and learners engage in research investigations.

    https://qubeshub.org/publications/1009/?v=1

  7. Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

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

    By Mark Phillip Peterson1, Jacob T Malloy2, Vincent P Buonaccorsi2, James H Marden3

    1. Viterbo University 2. Juniata College 3. Pennsylvania State University

    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...

    https://qubeshub.org/publications/1005/?v=1

  8. RNA-Seq Analysis GCAT-SEEK Workshop Manual

    Collections | 12 Sep 2018 | Posted by Wilson Leung

    https://qubeshub.org/community/groups/gea/collections/gcat-seek-workshop-training-materials

  9. Melissa C Srougi

    https://qubeshub.org/community/members/7897

  10. RNAseq data analysis using Galaxy

    13 Nov 2017 | Teaching Materials | Contributor(s):

    By Matthew Escobar1, Sam S Donovan2, Irina Makarevitch3, Bill Morgan4, Sabrina Robertson5

    1. California State University San Marcos 2. University of Pittsburgh 3. Hamline University 4. The College of Wooster 5. North Carolina State University

    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.

    https://qubeshub.org/publications/118/?v=3

  11. RNAseq data analysis using Galaxy

    01 Aug 2017 | Teaching Materials | Contributor(s):

    By Matthew Escobar

    California State University - San Marcos

    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.

    https://qubeshub.org/publications/118/?v=2

  12. RNAseq data analysis using Galaxy

    03 Jul 2017 | Teaching Materials | Contributor(s):

    By Matthew Escobar

    California State University - San Marcos

    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.

    https://qubeshub.org/publications/118/?v=1

  13. RNA-seq Analysis

    05 Jun 2017 | Teaching Materials | Contributor(s):

    By Bill Morgan1, Matthew Reeder2

    1. The College of Wooster 2. Ohio State University

    In this computer lab module, students learn how to process an RNA-seq data set to identify differentially expressed genes (DEGs). The samples for this data set were collected from yeast cells...

    https://qubeshub.org/publications/27/?v=2