phyloseq

This is the development version of phyloseq; for the stable release version, see phyloseq.

Handling and analysis of high-throughput microbiome census data


Bioconductor version: Development (3.21)

phyloseq provides a set of classes and tools to facilitate the import, storage, analysis, and graphical display of microbiome census data.

Author: Paul J. McMurdie <joey711 at gmail.com>, Susan Holmes <susan at stat.stanford.edu>, with contributions from Gregory Jordan and Scott Chamberlain

Maintainer: Paul J. McMurdie <joey711 at gmail.com>

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

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("phyloseq")

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

Documentation

Reference Manual PDF

Details

biocViews Classification, Clustering, GeneticVariability, ImmunoOncology, Metagenomics, Microbiome, MultipleComparison, Sequencing, Software
Version 1.51.0
In Bioconductor since BioC 2.10 (R-2.15) (12.5 years)
License AGPL-3
Depends R (>= 3.3.0)
Imports ade4 (>= 1.7-4), ape (>= 5.0), Biobase(>= 2.36.2), BiocGenerics(>= 0.22.0), biomformat(>= 1.0.0), Biostrings(>= 2.40.0), cluster (>= 2.0.4), data.table (>= 1.10.4), foreach (>= 1.4.3), ggplot2 (>= 2.1.0), igraph (>= 1.0.1), methods (>= 3.3.0), multtest(>= 2.28.0), plyr (>= 1.8.3), reshape2 (>= 1.4.1), scales (>= 0.4.0), vegan (>= 2.5)
System Requirements
URL http://dx.plos.org/10.1371/journal.pone.0061217
Bug Reports https://github.com/joey711/phyloseq/issues
See More
Suggests BiocStyle(>= 2.4), DESeq2(>= 1.16.1), genefilter(>= 1.58), knitr (>= 1.16), magrittr (>= 1.5), metagenomeSeq(>= 1.14), rmarkdown (>= 1.6), testthat (>= 1.0.2)
Linking To
Enhances doParallel (>= 1.0.10)
Depends On Me
Imports Me
Suggests Me
Links To Me
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/phyloseq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/phyloseq
Package Short Url https://bioconductor.org/packages/phyloseq/
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