Welcome to Radboud Summer School, July 2022
Figure source: Moreno-Indias et al. (2021) Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions. Frontiers in Microbiology 12:11.
You can render the book locally in R with:
bookdown::serve_book()
The miaverse (mia = MIcrobiome Analysis) is an R/Bioconductor framework for microbiome data science. It aims to extend the capabilities of another popular framework, phyloseq.
The miaverse framework consists of an efficient data structure, an associated package ecosystem, demonstration data sets, and open documentation. These are explained in more detail in the online book Orchestrating Microbiome Analysis.
- Landing page (html): miaverse teaching material
- Source code (github): miaverse teaching material
The source code of this repository is fully reproducible and contains the Rmd files with executable code. All files can be rendered at one go by running the file main.R. You can check the file for details on how to clone the repository and convert it into a gitbook, although this is not necessary for the training.
To setup the website, activate the gh-pages branch and wait for a few minutes.