MicrobiotaProcess

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


Bioconductor version: Release (3.20)

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).

Author: Shuangbin Xu [aut, cre] , Guangchuang Yu [aut, ctb]

Maintainer: Shuangbin Xu <xshuangbin at 163.com>

Citation (from within R, enter citation("MicrobiotaProcess")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("MicrobiotaProcess")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MicrobiotaProcess")
Introduction to MicrobiotaProcess HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews FeatureExtraction, Microbiome, MultipleComparison, Software, Visualization
Version 1.18.0
In Bioconductor since BioC 3.11 (R-4.0) (4.5 years)
License GPL (>= 3.0)
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)
System Requirements
URL https://github.com/YuLab-SMU/MicrobiotaProcess/
Bug Reports https://github.com/YuLab-SMU/MicrobiotaProcess/issues
See More
Suggests rmarkdown, prettydoc, testthat, knitr, nlme, phangorn, DECIPHER, randomForest, jsonlite, biomformat, scales, yaml, withr, S4Vectors, purrr, seqmagick, glue, ggupset, ggVennDiagram, gghalves, ggalluvial (>= 0.11.1), forcats, phyloseq, aplot, ggnewscale, ggside, ggh4x, hopach, parallel, shadowtext, DirichletMultinomial, ggpp, BiocManager
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me parafac4microbiome
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package MicrobiotaProcess_1.18.0.tar.gz
Windows Binary (x86_64) MicrobiotaProcess_1.18.0.zip
macOS Binary (x86_64) MicrobiotaProcess_1.18.0.tgz
macOS Binary (arm64) MicrobiotaProcess_1.18.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MicrobiotaProcess
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MicrobiotaProcess
Bioc Package Browser https://code.bioconductor.org/browse/MicrobiotaProcess/
Package Short Url https://bioconductor.org/packages/MicrobiotaProcess/
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