How to Install and Uninstall r-bioc-dexseq Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "r-bioc-dexseq" package

This is a short guide on how to install r-bioc-dexseq on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-bioc-dexseq" package

This guide let you learn how to uninstall r-bioc-dexseq on Ubuntu 20.10 (Groovy Gorilla):

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

3. Information about the r-bioc-dexseq package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-bioc-dexseq
Architecture: all
Version: 1.34.1+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: 678
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-api-bioc-3.11, r-bioc-biocparallel, r-bioc-biobase, r-bioc-summarizedexperiment, r-bioc-iranges (>= 2.5.17), r-bioc-genomicranges (>= 1.23.7), r-bioc-deseq2 (>= 1.9.11), r-bioc-annotationdbi, r-cran-rcolorbrewer, r-bioc-s4vectors (>= 0.23.18), r-bioc-biocgenerics, r-bioc-biomart, r-cran-hwriter, r-cran-stringr, r-bioc-rsamtools, r-cran-statmod, r-bioc-geneplotter, r-bioc-genefilter
Suggests: r-bioc-genomicfeatures (>= 1.13.29), r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/universe/r/r-bioc-dexseq/r-bioc-dexseq_1.34.1+dfsg-1_all.deb
Size: 450840
MD5sum: 674177b1fb0baa877219848f53d34294
SHA1: 841d2d08ed21ddb43dedbea1f40ff5b962a8720d
SHA256: f4bb5661c876ea08a7e3947b1c825703cc323443e146855774317f562231fb45
SHA512: 7af57f2b7bf23f610f21583408c928bcc20b60e0994b5c0aa9173200f46f0296cdb9151abfaa8ef0a9653fb39b155758ddaff4b46bce2420ce3e4989448b840e
Homepage: https://bioconductor.org/packages/DEXSeq/
Description-en: GNU R inference of differential exon usage in RNA-Seq
The package is focused on finding differential exon usage
using RNA-seq exon counts between samples with different
experimental designs. It provides functions that allows the
user to make the necessary statistical tests based on a model
that uses the negative binomial distribution to estimate the
variance between biological replicates and generalized linear
models for testing. The package also provides functions for the
visualization and exploration of the results.
Description-md5: 847e73dca66539e0fca1ea31c4fc3b84