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README.md
# iSEEtree [![issues](https://img.shields.io/github/issues/microbiome/iSEEtree)](https://github.com/microbiome/iSEEtree/issues) [![pulls](https://img.shields.io/github/issues-pr/microbiome/iSEEtree)](https://github.com/microbiome/iSEEtree/pulls) [![R-CMD-check](https://github.com/microbiome/iSEEtree/workflows/rworkflows/badge.svg)](https://github.com/microbiome/iSEEtree/actions) [![codecov](https://codecov.io/gh/microbiome/iSEEtree/branch/devel/graph/badge.svg)](https://app.codecov.io/gh/microbiome/iSEEtree?branch=devel) [![codefactor](https://www.codefactor.io/repository/github/microbiome/iseetree/badge)](https://www.codefactor.io/repository/github/microbiome/iseetree) The goal of iSEEtree is to provide panel designs to explore hierarchical data stored in TreeSummarizedExperiment objects. This enables the interactive visualisation of microbiome data, cell lines and more. ## Installation instructions The release version of iSEEtree can be installed from Bioconductor as follows: ``` if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("iSEEtree") ``` Contributors or users interested in the latest functionality can install the devel version of iSEEtree as follows: ``` if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("iSEEtree") ``` ## Example The basic functionality of iSEEtree can be explored as follows: ``` library(iSEEtree) library(mia) library(scater) # Import TreeSE data("Tengeler2020", package = "mia") tse <- Tengeler2020 # Add relabundance assay tse <- transformAssay(tse, method = "relabundance") # Add reduced dimensions tse <- runMDS(tse, assay.type = "relabundance") # Launch iSEE if (interactive()) { iSEE(tse) } ``` ## Code of Conduct Please note that the iSEEtree project is released with a [Contributor Code of Conduct](https://bioconductor.org/about/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](https://github.com/microbiome/mia/blob/devel/CONTRIBUTING.md). ## Acknowledgements iSEEtree originates from the joint effort of the R/Bioconductor community. It is mainly based on the following software: - [R](https://www.r-project.org/), statistical programming language [@core2024r] - [mia](https://bioconductor.org/packages/release/bioc/html/mia.html), framework for microbiome data analysis [@borman2024mia] - [iSEE](https://bioconductor.org/packages/release/bioc/html/iSEE.html), SummarizedExperiment interactive explorer [@rue2018isee] - [TreeSummarizedExperiment](https://bioconductor.org/packages/release/bioc/html/TreeSummarizedExperiment.htmlm), S4 container for hierarchical data [@huang2021treesummarizedexperiment] - [shiny](https://cran.r-project.org/web/packages/shiny/index.html), web app development in R [@chang2024shiny]