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

Last updated: May 19,2024

1. Install "r-bioc-cner" package

This guide let you learn how to install r-bioc-cner on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-bioc-cner" package

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

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

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

Package: r-bioc-cner
Architecture: amd64
Version: 1.24.0+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: 17941
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-bioc-biostrings (>= 2.33.4), r-cran-dbi (>= 0.7), r-cran-rsqlite (>= 0.11.4), r-bioc-genomeinfodb (>= 1.1.3), r-bioc-genomicranges (>= 1.23.16), r-bioc-rtracklayer (>= 1.25.5), r-bioc-xvector (>= 0.5.4), r-bioc-genomicalignments (>= 1.1.9), r-bioc-s4vectors (>= 0.13.13), r-bioc-iranges (>= 2.5.27), r-cran-readr (>= 0.2.2), r-bioc-biocgenerics, r-cran-reshape2 (>= 1.4.1), r-cran-ggplot2 (>= 2.1.0), r-cran-powerlaw (>= 0.60.3), r-bioc-annotate (>= 1.50.0), r-bioc-go.db (>= 3.3.0), r-cran-r.utils (>= 2.3.0), r-bioc-keggrest (>= 1.14.0), libc6 (>= 2.28)
Suggests: r-bioc-gviz (>= 1.7.4), r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/universe/r/r-bioc-cner/r-bioc-cner_1.24.0+dfsg-1build1_amd64.deb
Size: 8393012
MD5sum: b5f238da1e7503d9b94c320d976936ff
SHA1: 883d575507397cdb1b296d219130e2655b61194c
SHA256: cc8479d67d1d31475ca4331d57d0d3ceedff525d09b2d7059c2626ea134bb1d2
SHA512: cb6bbecb4d9d7941e568a1b953f37cfc935affbd7ea08e727513908ea5fd3c3a6bf11f4b87318b52fc1c20937165996029372bc59b252048aa48f60e828d726a
Homepage: https://bioconductor.org/packages/CNEr/
Description-en: CNE Detection and Visualization
Large-scale identification and advanced visualization
of sets of conserved noncoding elements.
Description-md5: 7eb745510870e4e5f5cabb41a8e73fdc