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

Last updated: May 19,2024

1. Install "r-bioc-cner" package

This is a short guide on how to install r-bioc-cner on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-bioc-cner" package

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

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

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

Package: r-bioc-cner
Architecture: amd64
Version: 1.26.0+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: 17936
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-api-bioc-3.12, 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-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/universe/r/r-bioc-cner/r-bioc-cner_1.26.0+dfsg-1_amd64.deb
Size: 8387372
MD5sum: 392de9e274771d59f84d61b0b98cbaf4
SHA1: 2e2dc12dea1b2cf5fb1e74f86c2598e352e72db3
SHA256: 8bc38dc802334b5bb5a94cdc4370b7b0ca5c2867df28b96b08349103d52a5d5b
SHA512: aceaaf0dab466d40734546ce9b41fb06b744f3281f7b1dfc29d246b7c73220abb4b4857cb0b28ed12bff89750fe3362245a5946040d7c8627984ad4db4474de2
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