How to Install and Uninstall r-bioc-org.hs.eg.db Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "r-bioc-org.hs.eg.db" package

This is a short guide on how to install r-bioc-org.hs.eg.db on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-bioc-org.hs.eg.db
            
                    
    
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2. Uninstall "r-bioc-org.hs.eg.db" package

Learn how to uninstall r-bioc-org.hs.eg.db on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-bioc-org.hs.eg.db
Architecture: all
Version: 3.11.4-1
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: 308188
Depends: r-base-core (>= 4.0.0.20200530-1), r-api-4.0, r-bioc-annotationdbi (>= 1.49.2)
Recommends: r-cran-runit
Suggests: r-cran-dbi, r-bioc-annotate
Filename: pool/universe/r/r-bioc-org.hs.eg.db/r-bioc-org.hs.eg.db_3.11.4-1_all.deb
Size: 34337216
MD5sum: 86a8fa084cfb4b2ada5c3eae25b7a19b
SHA1: 0d3fafbd6fc03a804bf88f7d7d3ba2943f71bf42
SHA256: a6b0379489e165de69b727fd776c0f7e0767ba47b3429833bb00bfca0b631014
SHA512: 82a0262c1407cad740e3a556bf0d072e099d99ea1c1d3dd223905f29c9365a3556364fd7a6ba0114d47c0a8977d14699930956a56f0824fe131b3a7cc6719b6c
Homepage: https://bioconductor.org/packages/data/experiment/org.Hs.eg.db/
Description-en: genome-wide annotation for Human
This package provides descriptions of parts of the human genome
that have been identified to be coding for RNA, and likely also for
proteins. It also offers links to entries of equivalent (orthologous)
genes in other species.
.
This package is prepared from the BioConductor community and contributes
to many workflows and routine analyses in computational biology.
Description-md5: 2460c5659e431087722f322aa85390f2