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

Last updated: November 05,2024

1. Install "r-bioc-biocgenerics" package

Please follow the step by step instructions below to install r-bioc-biocgenerics on Ubuntu 20.10 (Groovy Gorilla)


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

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


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

Package: r-bioc-biocgenerics
Architecture: all
Version: 0.34.0-1build1
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: 923
Provides: r-api-bioc-3.11
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Recommends: r-cran-runit
Suggests: r-bioc-biobase, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomicranges, r-bioc-delayedarray, r-bioc-biostrings, r-bioc-rsamtools, r-bioc-annotationdbi, r-bioc-affy, r-bioc-deseq2, r-bioc-annotate
Filename: pool/universe/r/r-bioc-biocgenerics/r-bioc-biocgenerics_0.34.0-1build1_all.deb
Size: 638868
MD5sum: 19d4f3907457e166aaddcca57143c3cd
SHA1: 88a7d605d731f3f5440695cc84ddf8ba2d5897b4
SHA256: a7b95f4110db3d5093d8506e076f4c9fbc80be12ea037d5f63668f2b448cf451
SHA512: ad46533ffddb24084f152ab6f1dfed365e5aaebb7475a066dcefd696cf96392c91fa6b8c3b90451e79ae8a39691f489a30391f2f2d7a4f60d4f10a2833b32fbb
Homepage: https://bioconductor.org/packages/BiocGenerics/
Description-en: generic functions for Bioconductor
S4 generic functions needed by many other Bioconductor packages.
.
Bioconductor provides tools for the analysis and comprehension of
high-throughput genomic data. Bioconductor uses the R statistical
programming language, and is open source and open development.
Description-md5: 4c3057ae19db1c45edff0d9de34e25fd