miaDash

Dashboard for the interactive analysis and exploration of microbiome data

Bioconductor version: 3.23 · Package version: 1.4.0

miaDash provides a Graphical User Interface for the exploration of microbiome data. This way, no knowledge of programming is required to perform analyses. Datasets can be imported, manipulated, analysed and visualised with a user-friendly interface.

Installation

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

BiocManager::install("miaDash")

Details

Maintainer	Giulio Benedetti <giulio.benedetti@utu.fi>
Author	Giulio Benedetti [aut, cre] (ORCID: <https://orcid.org/0000-0002-8732-7692>), Akewak Jeba [ctb] (ORCID: <https://orcid.org/0009-0007-1347-7552>), Leo Lahti [aut] (ORCID: <https://orcid.org/0000-0001-5537-637X>)
License	Artistic-2.0
URL	https://github.com/microbiome/miaDash
Bug Reports	https://github.com/microbiome/miaDash/issues
Downloads rank	146
Source branch	RELEASE_3_23
biocViews	DataImport, GUI, Microbiome, ShinyApps, Software, Visualization

Documentation

miaDash

Download

Source package

Dependencies

Depends: R (>= 4.4.0), iSEE (>= 2.19.4), shiny

Imports: ape, bluster, htmltools, iSEEtree (>= 1.1.4), mia, rintrojs, scater, scuttle, shinydashboard, shinyjs, shinyWidgets, S4Vectors, SingleCellExperiment, SummarizedExperiment, TreeSummarizedExperiment, utils, vegan

Suggests: BiocStyle, knitr, philr, remotes, rmarkdown, testthat (>= 3.0.0)