Resource Image

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

1439 total view(s), 754 download(s)

0 comment(s) (Post a comment)

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.

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 25 Nov 2020 doi:10.25334/S21R-9364 - cite this

Adapt Resource

Create without a project

For when you want to submit file(s) quickly without a project.

Create

Add to an existing project

You currently have no projects.