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Setup
R setup
Lessons
R Basics
Data frames
Data manipulation with dplyr
Tidy data & advanced data manipulation
Data visualization with ggplot2
Reproducible Reporting: Generating Dynamic Documents with R+RStudio
RNA-seq data analysis
Assignments
Misc assignments
Set up your computer
prior to the first class!
Programming assignments
dplyr exercises with the Gapminder data
.
ggplot2 homework with Brauer yeast data
.
Reproducible reporting homework
.
Readings
Sections 1-3 of
Wickham, H. “Tidy Data.”
Journal of Statistical Software
59:10 (2014)
.
Learn a bit about Markdown
.
Conesa et al. A survey of best practices for RNA-seq data analysis.
Genome Biology
17:13 (2016)
.
Abstract and introduction sections of
Himes et al. “RNA-Seq transcriptome profiling identifies CRISPLD2 as a glucocorticoid responsive gene that modulates cytokine function in airway smooth muscle cells.”
PLoS ONE
9.6 (2014): e99625
.
Soneson et al. “Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences.”
F1000Research
4 (2015)
.
Miscellaneous
Further resources and finding help