How to Install and Uninstall r-bioc-metagenomeseq Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 10,2024

1. Install "r-bioc-metagenomeseq" package

Please follow the instructions below to install r-bioc-metagenomeseq on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-bioc-metagenomeseq" package

Please follow the step by step instructions below to uninstall r-bioc-metagenomeseq on Ubuntu 21.10 (Impish Indri):

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

3. Information about the r-bioc-metagenomeseq package on Ubuntu 21.10 (Impish Indri)

Package: r-bioc-metagenomeseq
Architecture: all
Version: 1.32.0-1
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: 2600
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.12, r-bioc-biobase, r-bioc-limma, r-cran-glmnet, r-cran-rcolorbrewer, r-cran-matrixstats, r-cran-foreach, r-cran-matrix, r-cran-gplots, r-bioc-wrench
Recommends: r-cran-testthat (>= 0.8)
Suggests: r-bioc-annotate, r-bioc-biocgenerics, r-bioc-biomformat, r-cran-knitr, r-cran-gss, r-cran-vegan, r-bioc-ihw
Filename: pool/universe/r/r-bioc-metagenomeseq/r-bioc-metagenomeseq_1.32.0-1_all.deb
Size: 2103088
MD5sum: 334ddc194e4e251bd4a8c060fd8c5f4c
SHA1: 718f357b7f006ffdab9e98b7df4feb66c860e21c
SHA256: e697a3a17207fa5efc78e5e256308f2588f8e53a4f35532a3d036b85f072a55a
SHA512: b089c66f6882be66e0ddd2302f9208093322478e54f5cbc9836c7e22ff574fbed693f9b1b6b9bc831bc636ba357fa05e8a855d7592c79f4fe59ee14095e8f86f
Homepage: https://bioconductor.org/packages/metagenomeSeq/
Description-en: GNU R statistical analysis for sparse high-throughput sequencing
MetagenomeSeq is designed to determine features (be it Operational
Taxanomic Unit (OTU), species, etc.) that are differentially abundant
between two or more groups of multiple samples. metagenomeSeq is
designed to address the effects of both normalization and under-sampling
of microbial communities on disease association detection and the
testing of feature correlations.
Description-md5: 94464de5c2c71a4dfa0ee8df6ad57e97