How to Install and Uninstall r-bioc-purecn Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: May 19,2024

1. Install "r-bioc-purecn" package

Please follow the guidelines below to install r-bioc-purecn on Ubuntu 24.04 LTS (Noble Numbat)

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

2. Uninstall "r-bioc-purecn" package

Please follow the guidelines below to uninstall r-bioc-purecn on Ubuntu 24.04 LTS (Noble Numbat):

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

3. Information about the r-bioc-purecn package on Ubuntu 24.04 LTS (Noble Numbat)

Package: r-bioc-purecn
Architecture: all
Version: 2.8.1+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: 6916
Depends: r-api-4.0, r-api-bioc-3.18, 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_2.8.1+dfsg-1_all.deb
Size: 6042376
MD5sum: 141a577f784b8aeb681fa95284086ae4
SHA1: 129437f0dd1be39bf1c308a40d754ddc9b742497
SHA256: 678156bdcc0481dfa52a192d0829d37a9a282d1e0b39be700bfae3965099cb54
SHA512: 084d59bd01e39e1e0e390f1413adfb4a419c1847f93390536fec9002afe06e0f3c0655a4fe3e9c52dfde5d7c601b63fd800270c0a86ae2810bc3a15c82c02e71
Homepage: https://bioconductor.org/packages/PureCN/
Description: copy number calling and SNV classification using targeted short read sequencing
Description-md5: 8e04360f54e8e8be0dd9281fc8ab5c7b