This is the development version of animalcules; for the stable release version, see animalcules.
Interactive microbiome analysis toolkitBioconductor version: Development (3.22)
animalcules is an R package for utilizing up-to-date data analytics, visualization methods, and machine learning models to provide users an easy-to-use interactive microbiome analysis framework. It can be used as a standalone software package or users can explore their data with the accompanying interactive R Shiny application. Traditional microbiome analysis such as alpha/beta diversity and differential abundance analysis are enhanced, while new methods like biomarker identification are introduced by animalcules. Powerful interactive and dynamic figures generated by animalcules enable users to understand their data better and discover new insights.
Author: Jessica McClintock [cre], Yue Zhao [aut] ORCID: 0000-0001-5257-5103 , Anthony Federico [aut] ORCID: 0000-0002-9200-1689 , W. Evan Johnson [aut] ORCID: 0000-0002-6247-6595
Maintainer: Jessica McClintock <jessica.mcclintock at rutgers.edu>
Citation (from within R, entercitation("animalcules")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("animalcules")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("animalcules")
Details biocViews Coverage, Metagenomics, Microbiome, Software, Visualization Version 1.25.0 In Bioconductor since BioC 3.9 (R-3.6) (6 years) License Artistic-2.0 Depends R (>= 4.3.0) Imports ape, assertthat, caret, covr, DESeq2, dplyr, DT, forcats, ggforce, ggplot2, GUniFrac, lattice, limma, magrittr, Matrix, methods, MultiAssayExperiment, plotly, rentrez, reshape2, ROCit, S4Vectors(>= 0.23.19), scales, shiny, shinyjs, stats, SummarizedExperiment, tibble, tidyr, tsne, umap, utils, vegan, XML System Requirements URL https://github.com/wejlab/animalcules Bug Reports https://github.com/wejlab/animalcules/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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