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

Last updated: November 26,2024

1. Install "r-bioc-degreport" package

Please follow the guidance below to install r-bioc-degreport on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-bioc-degreport" package

This guide covers the steps necessary to uninstall r-bioc-degreport on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: r-bioc-degreport
Architecture: all
Version: 1.24.1+dfsg-2
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: 1977
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.11, r-bioc-biobase, r-bioc-biocgenerics, r-cran-broom, r-cran-circlize, r-bioc-complexheatmap, r-cran-cowplot, r-bioc-consensusclusterplus, r-cran-cluster, r-bioc-deseq2, r-cran-dplyr, r-bioc-edger, r-cran-ggplot2, r-cran-ggdendro, r-cran-ggrepel, r-cran-knitr, r-cran-logging, r-cran-lasso2, r-cran-magrittr, r-cran-nozzle.r1, r-cran-psych, r-cran-rcolorbrewer, r-cran-reshape, r-cran-rlang, r-cran-scales, r-cran-stringr, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-cran-tidyr, r-cran-tibble
Recommends: r-cran-testthat
Suggests: r-bioc-annotationdbi, r-bioc-limma, r-cran-pheatmap, r-cran-rmarkdown, r-cran-statmod
Filename: pool/universe/r/r-bioc-degreport/r-bioc-degreport_1.24.1+dfsg-2_all.deb
Size: 1852176
MD5sum: 0c8be00717cdd349b591514d56c85302
SHA1: da3dbe09e60a76de335bc2f6839075a04f6a0677
SHA256: f2e4d2fa33b4cec0f63ce0482b3528530a1dbf7a9187d366e3075f5735d07ca1
SHA512: ede2d156243728811536d1daa38174bce46d2bcd5d138685db8f696b4c400d0a33afc03a0a0c73e714286d50c85167bb18bd46efd95a931096beb6249da96fc0
Homepage: https://bioconductor.org/packages/DEGreport/
Description-en: BioConductor report of DEG analysis
Creation of a HTML report of differential expression
analyses of count data. It integrates some of the code
mentioned in DESeq2 and edgeR vignettes, and report a ranked
list of genes according to the fold changes mean and
variability for each selected gene.
Description-md5: 2ac0b5d6ff1f7ac8117c34f955e8e79f