How to Install and Uninstall r-bioc-deseq2 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 10,2024

1. Install "r-bioc-deseq2" package

This is a short guide on how to install r-bioc-deseq2 on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install r-bioc-deseq2

2. Uninstall "r-bioc-deseq2" package

Please follow the step by step instructions below to uninstall r-bioc-deseq2 on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove r-bioc-deseq2 $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-bioc-deseq2 package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-bioc-deseq2
Architecture: amd64
Version: 1.28.1+dfsg-1build1
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: 1923
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-bioc-s4vectors (>= 0.23.18), r-bioc-iranges, r-bioc-genomicranges, r-bioc-summarizedexperiment (>= 1.1.6), r-bioc-biocgenerics (>= 0.7.5), r-bioc-biobase, r-bioc-biocparallel, r-bioc-genefilter, r-cran-locfit, r-bioc-geneplotter, r-cran-ggplot2, r-cran-rcpp (>= 0.11.0), r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Recommends: r-cran-testthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-pheatmap, r-cran-rcolorbrewer, r-bioc-tximport, r-cran-readr, r-cran-pbapply
Filename: pool/universe/r/r-bioc-deseq2/r-bioc-deseq2_1.28.1+dfsg-1build1_amd64.deb
Size: 1229892
MD5sum: 752c3d9e41e4a402769d80df58c17521
SHA1: 1cc46a9505c7b5c0515a461505615c664188ab89
SHA256: 4a0e95a66e1f42887d39604a3a72a331615cac0196dbb7d5b1ac9c58b4142a1f
SHA512: a37661b6b0183f73bbb04fac9b1a32a31ac20ab3edf9a939f2357dc699857c956c2953b413df19033e9df61e975155136d2e660afa47b7afd1d1c0a7bde8e614
Homepage: https://bioconductor.org/packages/DESeq2/
Description-en: R package for RNA-Seq Differential Expression Analysis
Differential gene expression analysis based on the negative binomial
distribution. Estimate variance-mean dependence in count data from
high-throughput sequencing assays and test for differential expression based
on a model using the negative binomial distribution.
Description-md5: ae9e1d3c5793b8ca7b76c769e1059db8