Genomics Lessons with GEA - RNA-Seq CURES
Author(s): Vince Buonaccorsi1, Marcella Denise Cervantes2, Douglas L Chalker3, Maira Goytia, Wilson Leung3, Laurel Lorenz4, Laura Reed5, Anne Rosenwald6, Analyne Manzano Schroeder7, Emily Wiley8, Jason Williams9
1. Juniata College 2. Albion College 3. Washington University in St. Louis 4. Princeton 5. University of Alabama 6. Georgetown University 7. Sanford Burnham Prebys Medical Discovery Institute 8. Claremont McKenna College 9. Cold Spring Harbor Laboratory
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Summary:
Our BIOME Group worked towards developing a set of learning goals for faculty who plan to launch a CURE based on RNA-Seq data. We also developed a workflow for analysis of either prokaryotic or eukaryotic RNA-Seq data with existing tools.
RNA-Seq CURE with GEA.docxDescription
As part of our publication, we have included our draft learning goals and the beginning of learning objectives. In addition, we describe our summary in the attached slides and video.
Cite this work
Researchers should cite this work as follows:
- Buonaccorsi, V., Cervantes, M. D., Chalker, D. L., Goytia, M., Leung, W., Lorenz, L., Reed, L., Rosenwald, A., Schroeder, A. M., Wiley, E., Williams, J. (2020). Genomics Lessons with GEA - RNA-Seq CURES. Cultivating Scientific Curiosity, QUBES Educational Resources. doi:10.25334/S21R-9364