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

Last updated: February 24,2025

1. Install "r-bioc-ebseq" package

This guide covers the steps necessary to install r-bioc-ebseq on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-ebseq
            
                    
    
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2. Uninstall "r-bioc-ebseq" package

Please follow the instructions below to uninstall r-bioc-ebseq on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-bioc-ebseq
Architecture: all
Version: 1.28.0-1build1
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: 1815
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-cran-blockmodeling, r-cran-gplots, r-cran-testthat
Filename: pool/universe/r/r-bioc-ebseq/r-bioc-ebseq_1.28.0-1build1_all.deb
Size: 1463076
MD5sum: 0df5e28ca3c8acedca93a4355a4bf915
SHA1: 849e8e4467cc28b300e74176f20a336e4a039057
SHA256: 6fb1730cbcb19cd1e665c36dcb0e721e5d4e411325bbe3130966069c2f011e76
SHA512: d21cac8a860b959a8b9cf13fd3da50f0e77ae16e44349e6727273f67c0156c9af65fc3449101802c25473eac8a4ccdf2eba407ad1800695788a916bdef58fb4c
Homepage: https://bioconductor.org/packages/EBSeq/
Description-en: R package for RNA-Seq Differential Expression Analysis
r-bioc-ebseq is an R package for identifying genes and isoforms differentially
expressed (DE) across two or more biological conditions in an RNA-seq
experiment.
Description-md5: ff4e26790cf70dea336cfa68f87d280e