How to Install and Uninstall r-bioc-beachmat Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 14,2024

1. Install "r-bioc-beachmat" package

This tutorial shows how to install r-bioc-beachmat on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-bioc-beachmat
            
                    
    
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2. Uninstall "r-bioc-beachmat" package

This guide let you learn how to uninstall r-bioc-beachmat on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-bioc-beachmat
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-beachmat package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-bioc-beachmat
Architecture: amd64
Version: 2.4.0+ds-2
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: 504
Depends: r-base-core (>= 4.0.1-1), r-api-4.0, r-api-bioc-3.11, r-bioc-delayedarray, r-bioc-biocgenerics, r-cran-matrix
Recommends: r-cran-testthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/universe/r/r-bioc-beachmat/r-bioc-beachmat_2.4.0+ds-2_amd64.deb
Size: 65480
MD5sum: 9de8d03e43a7d9ea6d617df963ac4349
SHA1: f6b54627699db3639cf4de94cfa400bcdd432ef1
SHA256: 41bd52b6113c8c45c0e35f0459a158ac07c1d1e530c865c9135b2a35ade21b4a
SHA512: d77636da854f8385a4c125f2826ee647225ce69072d4b509497d79c90dd543433662ac5ed8468887afd1178ffb2170c973044386f6584bc43ca601077ed546e2
Homepage: https://bioconductor.org/packages/beachmat/
Description-en: I/O for several formats storing matrix data
Provides a consistent C++ class interface for reading from and
writing data to a variety of commonly used matrix types. Ordinary
matrices and several sparse/dense Matrix classes are directly supported,
third-party S4 classes may be supported by external linkage, while all
other matrices are handled by DelayedArray block processing.
Description-md5: 4dec1460ea790bf15d14428f94d9b37f