This project provides functions and workflows examples for analyses
of microbiome data. The main class for working with microbiome data in this
package is TreeSummarizedExperiment.
Note: The rCLR and rAitchison methods require the vegan R package version 2.7-1 (released on 2025-06-06) or later.
Installation
Bioc-release
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("mia")
Bioc-devel
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("mia")
Contributing
Contributions are welcome in the form of feedback, issues, pull
requests etc, see contributor guidelines.
Code of conduct
Please note that the mia project is released with a Contributor Code of Conduct.
By contributing to this project, you agree to abide by its terms.
mia - Microbiome analysis
Using the package
This project provides functions and workflows examples for analyses of microbiome data. The main class for working with microbiome data in this package is
TreeSummarizedExperiment.For examples of functionality, see the function reference page.
More information and example workflows are provided in the online manual Orchestrating Microbiome Analysis with Bioconductor.
Installation
Bioc-release
Bioc-devel
Contributing
Contributions are welcome in the form of feedback, issues, pull requests etc, see contributor guidelines.
Code of conduct
Please note that the mia project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.