How to Install and Uninstall r-bioc-limma Package on Ubuntu 20.04 LTS (Focal Fossa)

Last updated: December 29,2024

1. Install "r-bioc-limma" package

This guide let you learn how to install r-bioc-limma on Ubuntu 20.04 LTS (Focal Fossa)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-bioc-limma
            
                    
    
    Copied

2. Uninstall "r-bioc-limma" package

This tutorial shows how to uninstall r-bioc-limma on Ubuntu 20.04 LTS (Focal Fossa):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-bioc-limma
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-bioc-limma package on Ubuntu 20.04 LTS (Focal Fossa)

Package: r-bioc-limma
Architecture: amd64
Version: 3.42.2+dfsg-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: 1993
Depends: r-base-core (>= 3.6.2.20200221-1), r-api-3.5, r-api-bioc-3.10, libc6 (>= 2.4)
Recommends: r-cran-mass, r-cran-statmod (>= 1.2.2), r-bioc-go.db, r-bioc-org.hs.eg.db
Suggests: r-bioc-affy, r-bioc-annotationdbi, r-cran-biasedurn, r-bioc-biobase, r-cran-ellipse, r-cran-gplots
Filename: pool/universe/r/r-bioc-limma/r-bioc-limma_3.42.2+dfsg-2_amd64.deb
Size: 1648448
MD5sum: 1339d380bf50617982ef002553bc0260
SHA1: 7ff52b84e62571d854e4521fe472d99b5b915bab
SHA256: 2af727ee418e10b1c458d037ddad70b0d20f53de2c9d6900b3ba2406fcf33467
Homepage: https://bioconductor.org/packages/limma/
Description: linear models for microarray data
Description-md5: 7d3dc8b6f314fb098c2f22280dac3f37