How to Install and Uninstall r-bioc-biovizbase Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: December 24,2024
1. Install "r-bioc-biovizbase" package
In this section, we are going to explain the necessary steps to install r-bioc-biovizbase on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
r-bioc-biovizbase
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2. Uninstall "r-bioc-biovizbase" package
Please follow the guidance below to uninstall r-bioc-biovizbase on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
r-bioc-biovizbase
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-bioc-biovizbase package on Ubuntu 20.10 (Groovy Gorilla)
Package: r-bioc-biovizbase
Architecture: amd64
Version: 1.36.0-1build1
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: 3137
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-cran-scales, r-cran-hmisc, r-cran-rcolorbrewer, r-cran-dichromat, r-bioc-biocgenerics, r-bioc-s4vectors (>= 0.23.19), r-bioc-iranges (>= 1.99.28), r-bioc-genomeinfodb (>= 1.5.14), r-bioc-genomicranges (>= 1.23.21), r-bioc-summarizedexperiment, r-bioc-biostrings (>= 2.33.11), r-bioc-rsamtools (>= 1.17.28), r-bioc-genomicalignments (>= 1.1.16), r-bioc-genomicfeatures (>= 1.21.19), r-bioc-annotationdbi, r-bioc-variantannotation (>= 1.11.4), r-bioc-ensembldb (>= 1.99.13), r-bioc-annotationfilter (>= 0.99.8), r-cran-rlang
Recommends: r-cran-runit, r-cran-foreign, r-cran-nnet
Suggests: r-bioc-bsgenome, r-bioc-rtracklayer
Filename: pool/universe/r/r-bioc-biovizbase/r-bioc-biovizbase_1.36.0-1build1_amd64.deb
Size: 2755760
MD5sum: 9b6594c8f9c16d3dfd9da2a142778be0
SHA1: 0954fc736168f8770d5867d23d22c74145250a32
SHA256: b30edaa572b4967c324c0cdbed58dd897405f3d9aad2457e72bbe57ea9f21743
SHA512: 12ffc8f01e0d69b11aa15bb06bb4613d9ac42d9c68e97c60bc74e9803fd8d5bf521bfaf0934b32acb9c6903d7a75a51b6c38f8eaca2f2f67fd78bd10509f87e1
Homepage: https://bioconductor.org/packages/biovizBase/
Description-en: GNU R basic graphic utilities for visualization of genomic data
The biovizBase package is designed to provide a set of utilities, color
schemes and conventions for genomic data. It serves as the base for
various high-level packages for biological data visualization. This
saves development effort and encourages consistency.
Description-md5: d3e2d866fe264470a3ba8cdc54ca49f7
Architecture: amd64
Version: 1.36.0-1build1
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: 3137
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-cran-scales, r-cran-hmisc, r-cran-rcolorbrewer, r-cran-dichromat, r-bioc-biocgenerics, r-bioc-s4vectors (>= 0.23.19), r-bioc-iranges (>= 1.99.28), r-bioc-genomeinfodb (>= 1.5.14), r-bioc-genomicranges (>= 1.23.21), r-bioc-summarizedexperiment, r-bioc-biostrings (>= 2.33.11), r-bioc-rsamtools (>= 1.17.28), r-bioc-genomicalignments (>= 1.1.16), r-bioc-genomicfeatures (>= 1.21.19), r-bioc-annotationdbi, r-bioc-variantannotation (>= 1.11.4), r-bioc-ensembldb (>= 1.99.13), r-bioc-annotationfilter (>= 0.99.8), r-cran-rlang
Recommends: r-cran-runit, r-cran-foreign, r-cran-nnet
Suggests: r-bioc-bsgenome, r-bioc-rtracklayer
Filename: pool/universe/r/r-bioc-biovizbase/r-bioc-biovizbase_1.36.0-1build1_amd64.deb
Size: 2755760
MD5sum: 9b6594c8f9c16d3dfd9da2a142778be0
SHA1: 0954fc736168f8770d5867d23d22c74145250a32
SHA256: b30edaa572b4967c324c0cdbed58dd897405f3d9aad2457e72bbe57ea9f21743
SHA512: 12ffc8f01e0d69b11aa15bb06bb4613d9ac42d9c68e97c60bc74e9803fd8d5bf521bfaf0934b32acb9c6903d7a75a51b6c38f8eaca2f2f67fd78bd10509f87e1
Homepage: https://bioconductor.org/packages/biovizBase/
Description-en: GNU R basic graphic utilities for visualization of genomic data
The biovizBase package is designed to provide a set of utilities, color
schemes and conventions for genomic data. It serves as the base for
various high-level packages for biological data visualization. This
saves development effort and encourages consistency.
Description-md5: d3e2d866fe264470a3ba8cdc54ca49f7