How to Install and Uninstall r-bioc-shortread Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: November 05,2024
1. Install "r-bioc-shortread" package
Please follow the steps below to install r-bioc-shortread on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
r-bioc-shortread
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2. Uninstall "r-bioc-shortread" package
This is a short guide on how to uninstall r-bioc-shortread on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
r-bioc-shortread
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-bioc-shortread package on Ubuntu 20.10 (Groovy Gorilla)
Package: r-bioc-shortread
Architecture: amd64
Version: 1.46.0-1build1
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: 7478
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-bioc-biocgenerics (>= 0.23.3), r-bioc-biocparallel, r-bioc-biostrings (>= 2.47.6), r-bioc-rsamtools (>= 1.31.2), r-bioc-genomicalignments (>= 1.15.6), r-bioc-biobase, r-bioc-s4vectors (>= 0.17.25), r-bioc-iranges (>= 2.13.12), r-bioc-genomeinfodb (>= 1.15.2), r-bioc-genomicranges (>= 1.31.8), r-cran-hwriter, r-bioc-zlibbioc, r-cran-lattice, r-cran-latticeextra, r-bioc-xvector, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4)
Recommends: r-cran-runit
Suggests: r-bioc-biomart, r-bioc-genomicfeatures
Filename: pool/universe/r/r-bioc-shortread/r-bioc-shortread_1.46.0-1build1_amd64.deb
Size: 5158296
MD5sum: ec61c75d4c9e720e41bb4c14786d25fc
SHA1: 4e4121fb2f94b2634da8519623f53e4e7e4cb774
SHA256: 89ddafdd93d858417109ffb4efdb8f51ca4724668f09d176026bc431af738adf
SHA512: 39c4430017c3d316f2c8c1128ba50e385eacf1599d96dd16bb7245c564cfc93028b14c5713385c1e231e695737f3a694027bc28b8c921f03126a1db76eea7506
Homepage: https://bioconductor.org/packages/ShortRead/
Description-en: GNU R classes and methods for high-throughput short-read sequencing data
This BioConductor module is a package for input, quality assessment,
manipulation and output of high-throughput sequencing data. ShortRead is
provided in the R and Bioconductor environments, allowing ready access
to additional facilities for advanced statistical analysis, data
transformation, visualization and integration with diverse genomic
resources.
Description-md5: 1c554de1b3611a116df744777d39ea79
Architecture: amd64
Version: 1.46.0-1build1
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: 7478
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-bioc-biocgenerics (>= 0.23.3), r-bioc-biocparallel, r-bioc-biostrings (>= 2.47.6), r-bioc-rsamtools (>= 1.31.2), r-bioc-genomicalignments (>= 1.15.6), r-bioc-biobase, r-bioc-s4vectors (>= 0.17.25), r-bioc-iranges (>= 2.13.12), r-bioc-genomeinfodb (>= 1.15.2), r-bioc-genomicranges (>= 1.31.8), r-cran-hwriter, r-bioc-zlibbioc, r-cran-lattice, r-cran-latticeextra, r-bioc-xvector, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4)
Recommends: r-cran-runit
Suggests: r-bioc-biomart, r-bioc-genomicfeatures
Filename: pool/universe/r/r-bioc-shortread/r-bioc-shortread_1.46.0-1build1_amd64.deb
Size: 5158296
MD5sum: ec61c75d4c9e720e41bb4c14786d25fc
SHA1: 4e4121fb2f94b2634da8519623f53e4e7e4cb774
SHA256: 89ddafdd93d858417109ffb4efdb8f51ca4724668f09d176026bc431af738adf
SHA512: 39c4430017c3d316f2c8c1128ba50e385eacf1599d96dd16bb7245c564cfc93028b14c5713385c1e231e695737f3a694027bc28b8c921f03126a1db76eea7506
Homepage: https://bioconductor.org/packages/ShortRead/
Description-en: GNU R classes and methods for high-throughput short-read sequencing data
This BioConductor module is a package for input, quality assessment,
manipulation and output of high-throughput sequencing data. ShortRead is
provided in the R and Bioconductor environments, allowing ready access
to additional facilities for advanced statistical analysis, data
transformation, visualization and integration with diverse genomic
resources.
Description-md5: 1c554de1b3611a116df744777d39ea79