Summary and Schedule
ATTENTION This is an experimental test of The Carpentries Workbench lesson infrastructure. It was automatically converted from the source lesson via the lesson transition script.
If anything seems off, please contact Zhian Kamvar zkamvar@carpentries.org
FIXME: This lesson introduces the learner to RNA-seq analysis with Bioconductor.
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Prerequisites
- Familiarity with R, for example corresponding to the ‘Introduction to R’ module.
- Familiarity with statistical hypothesis testing (e.g., t-tests) and p-values.
- Familiarity with the biological basics of gene expression and RNA sequencing.
Setup Instructions | Download files required for the lesson | |
Duration: 00h 00m | 1. Introduction and setup | |
Duration: 00h 10m | 2. Introduction to RNA-seq | What is RNA-seq? |
Duration: 00h 20m | 3. Experimental design |
How do we design experiments optimally? How do we interpret a given design? |
Duration: 00h 30m | 4. Importing and annotating quantified data into R | How do we get our data into R? |
Duration: 00h 40m | 5. Exploratory analysis and quality control | |
Duration: 00h 50m | 6. Differential expression analysis | How do we find differentially expressed genes? |
Duration: 01h 00m | 7. Gene set analysis | How do we find differentially expressed pathways? |
Duration: 01h 10m | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
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