How to Install and Uninstall r-bioc-phyloseq Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: November 26,2024

1. Install "r-bioc-phyloseq" package

This tutorial shows how to install r-bioc-phyloseq on Ubuntu 24.04 LTS (Noble Numbat)

$ sudo apt update $ sudo apt install r-bioc-phyloseq

2. Uninstall "r-bioc-phyloseq" package

Please follow the guidance below to uninstall r-bioc-phyloseq on Ubuntu 24.04 LTS (Noble Numbat):

$ sudo apt remove r-bioc-phyloseq $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-bioc-phyloseq package on Ubuntu 24.04 LTS (Noble Numbat)

Package: r-bioc-phyloseq
Architecture: all
Version: 1.46.0+dfsg-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3123
Depends: r-api-4.0, r-api-bioc-3.18, r-cran-ade4 (>= 1.7-4), r-cran-ape (>= 5.0), r-bioc-biobase (>= 2.36.2), r-bioc-biocgenerics (>= 0.22.0), r-bioc-biomformat (>= 1.0.0), r-bioc-biostrings (>= 2.40.0), r-cran-cluster (>= 2.0.4), r-cran-data.table (>= 1.10.4), r-cran-foreach (>= 1.4.3), r-cran-ggplot2 (>= 2.1.0), r-cran-igraph (>= 1.0.1), r-bioc-multtest (>= 2.28.0), r-cran-plyr (>= 1.8.3), r-cran-reshape2 (>= 1.4.1), r-cran-scales (>= 0.4.0), r-cran-vegan (>= 2.5)
Suggests: r-bioc-biocstyle (>= 2.4), r-bioc-deseq2 (>= 1.16.1), r-bioc-genefilter (>= 1.58), r-cran-knitr (>= 1.16), r-cran-magrittr (>= 1.5), r-bioc-metagenomeseq (>= 1.14), r-cran-rmarkdown (>= 1.6), r-cran-testthat (>= 1.0.2)
Filename: pool/universe/r/r-bioc-phyloseq/r-bioc-phyloseq_1.46.0+dfsg-1_all.deb
Size: 2192214
MD5sum: 41525db6a82ae942df2248139eece07c
SHA1: 5771a9141c6f296cb5299a65aeb386b64180a662
SHA256: 83a38881d3108d87c0a8f74b5c948777d9514f3921036e3b1f5a268188b2e337
SHA512: 27d0e74ea1d4bcfb14aff4437dfd2046429b48f405904368cd02fe1987e10ae5ce2fd618160d1ea41f6d924b30c5d3cb184ee413dac071ed472aadde5716839b
Homepage: https://bioconductor.org/packages/phyloseq/
Description: GNU R handling and analysis of high-throughput microbiome census data
Description-md5: ce1efdc42d4cdfd64fc0152b75e33d3f