miaDash

The goal of miaDash is to provide a user-friendly interface to import, manipulate, analyse and visualise TreeSummarizedExperiment objects.

Usage

miaDash is available online at this address. While suitable for small and medium datasets, the online version may slow down when larger datasets are analysed (> 1000 features). In this case, the app can be installed and run locally. Either way, functionality to subset and agglomerate the data is also provided in the app.

Installation instructions

The release version can be installed from Bioconductor as follows:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("miaDash")

Contributors or users interested in the latest functionality can install the devel version as follows:

remotes::install_github("microbiome/miaDash")

Example

The basic functionality of miaDash can be explored as follows:

# Import miaDash
library(miaDash)

# Instantiate app
app <- miaDash()

# Launch miaDash
if (interactive()) {
  shiny::runApp(app)
}

Code of Conduct

Please note that the miaDash project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms. Contributions are welcome in the form of feedback, issues and pull requests. You can find the contributor guidelines of the miaverse here.

Acknowledgements

miaDash results from the joint effort of the larger R/Bioconductor community. In particular, this software mainly depends on the following packages:

• mia
• iSEEtree
• iSEE
• TreeSummarizedExperiment
• shiny