animalcules
Interactive microbiome analysis toolkit
Bioconductor version: 3.24 · Package version: 1.29.2
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("animalcules") Details
| Maintainer | W. Evan Johnson <wevanjohnson@gmail.com> |
| Author | W. Evan Johnson [aut, cre] (ORCID: <https://orcid.org/0000-0002-6247-6595>), Yue Zhao [aut] (ORCID: <https://orcid.org/0000-0001-5257-5103>), Anthony Federico [aut] (ORCID: <https://orcid.org/0000-0002-9200-1689>), Jessica Anderson [ctr] (ORCID: <https://orcid.org/0000-0002-0542-9872>) |
| License | Artistic-2.0 |
| URL | https://github.com/wejlab/animalcules |
| Bug Reports | https://github.com/wejlab/animalcules/issues |
| Downloads rank | 617 |
| Source branch | devel |
| biocViews | Coverage, Metagenomics, Microbiome, Software, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | animalcules_1.29.2.tar.gz |
| Windows binary (x86_64) | animalcules_1.29.2.zip |
| macOS binary (arm64) | animalcules_1.29.2.tgz |
| macOS binary (x86_64) | animalcules_1.29.2.tgz |
Dependencies
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
Suggests: BiocStyle, biomformat, curl, devtools, glmnet, knitr, rmarkdown, testthat, usethis