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MicrobiotaProcess

A comprehensive R package for managing and analyzing microbiome and other ecological data within the tidy framework

Bioconductor version: 3.23 · Package version: 1.24.0

MicrobiotaProcess is an R package for analysis, visualization and biomarker discovery of microbial datasets. It introduces MPSE class, this make it more interoperable with the existing computing ecosystem. Moreover, it introduces a tidy microbiome data structure paradigm and analysis grammar. It provides a wide variety of microbiome data analysis procedures under the unified and common framework (tidy-like framework).

Installation

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

BiocManager::install("MicrobiotaProcess")

Details

MaintainerShuangbin Xu <xshuangbin@163.com>
AuthorShuangbin Xu [aut, cre] (ORCID: <https://orcid.org/0000-0003-3513-5362>), Guangchuang Yu [aut, ctb] (ORCID: <https://orcid.org/0000-0002-6485-8781>)
LicenseGPL (>= 3.0)
URLhttps://github.com/YuLab-SMU/MicrobiotaProcess/
Bug Reportshttps://github.com/YuLab-SMU/MicrobiotaProcess/issues
Downloads rank661
Source branchRELEASE_3_23
biocViewsFeatureExtraction, Microbiome, MultipleComparison, Software, Visualization

Documentation

Download

Dependencies

Depends: R (>= 4.0.0)

Imports: ape, tidyr, ggplot2, magrittr, dplyr, Biostrings, ggrepel, vegan, zoo, ggtree, tidytree (>= 0.4.2), MASS, methods, rlang, tibble, grDevices, stats, utils, coin, ggsignif, patchwork, ggstar, tidyselect, SummarizedExperiment, foreach, treeio (>= 1.17.2), pillar, cli, plyr, dtplyr, ggtreeExtra, data.table, ggfun (>= 0.1.1)

Suggests: rmarkdown, prettydoc, testthat, knitr, nlme, phangorn, DECIPHER, randomForest, jsonlite, biomformat, scales, yaml, withr, S4Vectors, purrr, seqmagick, glue, ggupset, ggVennDiagram, ggalluvial (>= 0.11.1), forcats, phyloseq, aplot, ggnewscale, ggside, ggh4x, hopach, parallel, shadowtext, DirichletMultinomial, ggpp, BiocManager, rhdf5