Install R, and Rstudio
ggplot2: For plotting data ggplot2 is very useful - can be installed from CRAN
tidyverse: A collection of general data handling tools gaining much popularity within the R user community
phyloseq: There are several packages for handling microbiome type data. For this course we use phyloseq see tutorial
metagMisc: A package with functionallity for cross-talk between different packages found on github
vegan: Vegan is a very useful package with a lot of functionality. However, here we use only the adonis() function.
ape: For handling phylogenetic trees this package is good.
picante: Phylogenetic integration in analysis
DAtest: This a custome made single purpose package to be found on github
DESeq2: This package is developed for Differential Expression statistics for RNA-seq data. However, it is widely used for microbiome data as well.
metagenomeSeq: Is a package for handling microbiome data. Here, especially the differential abundance testing procedure featureModel() is used.
limma: A general package for multiple Differential Expression stats developed for RNA-seq.
variancePartition and edgeR: As limma, but makign mixed models doable, for instance from longitudinal / repeated measures experiments.
BiocParallel: Getting stuff to run quicker.
ggtree: A nice vizualisation package for plotting tree, build on top of ggplot2 functionality.
For details on installation and getting-started, please check vignettes, help-documentation, google, youtube,…. Most things are pretty easy to copy-paste and run from examples and then exchange with your own data.