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

Last updated: May 14,2024

1. Install "r-bioc-edger" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide covers the steps necessary to uninstall r-bioc-edger on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-bioc-edger
            
                    
    
    Copied


    
        
            $
        

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

Package: r-bioc-edger
Architecture: amd64
Version: 3.30.3+dfsg-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: 1349
Depends: r-base-core (>= 4.0.1-1), r-api-4.0, r-api-bioc-3.11, r-bioc-limma (>= 3.41.5), r-cran-locfit, r-cran-rcpp, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 5.2)
Recommends: r-cran-statmod
Suggests: r-cran-jsonlite, r-cran-readr, r-bioc-rhdf5, r-bioc-biobase, r-bioc-annotationdbi, r-bioc-summarizedexperiment, r-bioc-org.hs.eg.db
Filename: pool/universe/r/r-bioc-edger/r-bioc-edger_3.30.3+dfsg-1_amd64.deb
Size: 1069588
MD5sum: 7761c04012ee7bde4294cf46385ee8f7
SHA1: 05a76abbb2cd463b9425cbb22ebaac075d8b974c
SHA256: 34607168d60d5a83a5c8f48bf3355688df9909f45e840d97c2ae4273190af0c0
SHA512: a37e7187d9a129cb289907699141f9fc15ed29ff7c27141eb26a092c6eb9e2ed97f446f6109af643f1e0cea01da57e8ea02e0474025fcf5540a52baf240758da
Homepage: https://bioconductor.org/packages/edgeR/
Description-en: Empirical analysis of digital gene expression data in R
Bioconductor package for differential expression analysis of whole
transcriptome sequencing (RNA-seq) and digital gene expression
profiles with biological replication. It uses empirical Bayes
estimation and exact tests based on the negative binomial
distribution. It is also useful for differential signal analysis with
other types of genome-scale count data.
Description-md5: e9c6c6a168e9ee8c27a8db76210c4bdb