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

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

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 thedevel version as follows:

remotes::install_github("microbiome/miaDash")

The basic functionality of miaDash can be explored as follows:

# Import miaDashlibrary(miaDash)# Launch miaDashif (interactive()) {  miaDash()}

Please note that the miaDash project is released with aContributor Code of Conduct.By contributing to this project, you agree to abide by its terms. Contributionsare welcome in the form of feedback, issues and pull requests. You can find thecontributor guidelines of the miaversehere.

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

• mia
• iSEEtree
• iSEE
• TreeSummarizedExperiment
• shiny