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

Last updated: May 19,2024

1. Install "r-bioc-biocsingular" package

Please follow the guidance below to install r-bioc-biocsingular on Ubuntu 20.10 (Groovy Gorilla)


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

Here is a brief guide to show you how to uninstall r-bioc-biocsingular on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-bioc-biocsingular
Architecture: amd64
Version: 1.4.0+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: 979
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.11, r-bioc-biocgenerics, r-bioc-s4vectors, r-cran-matrix, r-bioc-delayedarray, r-bioc-biocparallel, r-cran-irlba, r-cran-rsvd, r-cran-rcpp, r-bioc-beachmat, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Recommends: r-cran-testthat
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/universe/r/r-bioc-biocsingular/r-bioc-biocsingular_1.4.0+ds-2_amd64.deb
Size: 518688
MD5sum: 2813513f4ae15f7a785cc68eba3ad0ee
SHA1: 39b5663e3265f55335991aa28f231b0e513ee387
SHA256: ca7da0aa6ca0b32dedb9f432867a0f432e3739fe37675ae23f13bc017d6e5920
SHA512: bf955665d91fe652d20f2f6deaa1ae5921f58d975754c6873e6d9a40aceba65dd435a34014b8be73cce1f42ca3176e4882d38534ab40cb9540dc25e80598ce6b
Homepage: https://bioconductor.org/packages/BiocSingular/
Description-en: Singular Value Decomposition for Bioconductor Packages
Implements exact and approximate methods for singular value
decomposition and principal components analysis, in a framework that
allows them to be easily switched within Bioconductor packages or
workflows. Where possible, parallelization is achieved using
the BiocParallel framework.
Description-md5: 9ea0bc51a363cd5851266e7ecf180eea