How to Install and Uninstall r-bioc-purecn Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: May 08,2024

1. Install "r-bioc-purecn" package

In this section, we are going to explain the necessary steps to install r-bioc-purecn on Ubuntu 22.10 (Kinetic Kudu)

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

2. Uninstall "r-bioc-purecn" package

Please follow the guidance below to uninstall r-bioc-purecn on Ubuntu 22.10 (Kinetic Kudu):

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

3. Information about the r-bioc-purecn package on Ubuntu 22.10 (Kinetic Kudu)

Package: r-bioc-purecn
Architecture: all
Version: 2.2.0+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: 6926
Depends: r-base-core (>= 4.2.0-1ubuntu1), r-api-4.0, r-api-bioc-3.15, r-bioc-dnacopy, r-bioc-variantannotation (>= 1.14.1), r-bioc-genomicranges (>= 1.20.3), r-bioc-iranges (>= 2.2.1), r-cran-rcolorbrewer, r-bioc-s4vectors, r-cran-data.table, r-bioc-summarizedexperiment, r-bioc-genomeinfodb, r-bioc-genomicfeatures, r-bioc-rsamtools, r-bioc-biobase, r-bioc-biostrings, r-bioc-biocgenerics, r-bioc-rtracklayer, r-cran-ggplot2, r-cran-gridextra, r-cran-futile.logger, r-cran-vgam, r-cran-mclust, r-bioc-rhdf5, r-cran-matrix
Suggests: r-bioc-biocparallel, r-bioc-biocstyle, r-cran-pscbs, r-cran-r.utils, r-cran-covr, r-cran-knitr, r-cran-optparse, r-bioc-org.hs.eg.db, r-cran-jsonlite, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/universe/r/r-bioc-purecn/r-bioc-purecn_2.2.0+dfsg-1_all.deb
Size: 6052230
MD5sum: 9c6dd388467e73c6b0376c877254c4b8
SHA1: 1ada4c2bd0ea7a6d4712ee6773725ed3d1043d10
SHA256: 287ba1741687733481342c2d4a1467a4778630fade5ecf169ef90d6bc4c6ca29
SHA512: 41b7e202abb74d73e74ccb82c81a76e86c1ef3ca38448141f337d20856b4145a0c9213ac3a563dd6677e88a2daa7d695f52d5d716cd702c482a27a53ac3a7f3b
Homepage: https://bioconductor.org/packages/PureCN/
Description: copy number calling and SNV classification using targeted short read sequencing
Description-md5: 8e04360f54e8e8be0dd9281fc8ab5c7b