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

Last updated: May 20,2024

1. Install "r-bioc-limma" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-bioc-limma
            
                    
    
    Copied


    
        
            $
        

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

Package: r-bioc-limma
Architecture: amd64
Version: 3.44.3+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: 2056
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-api-bioc-3.11, libc6 (>= 2.4)
Recommends: r-cran-mass, r-cran-statmod (>= 1.2.2), r-bioc-go.db, r-bioc-org.hs.eg.db, r-cran-locfit
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_3.44.3+dfsg-1_amd64.deb
Size: 1704484
MD5sum: 5abe5c67e526c94238cb73395151dd28
SHA1: 740f97dc033014f2a730579b8097bba286fffdf4
SHA256: 1b5cb3f19e683ff58af0186d9cae6613f0758bd2666630964d0dd1e4d3a48dc1
SHA512: 6a110e679eb4c78513e3fd5de5bb950970a538486aa108dfaf009b2af4d87c84ff8a0ea568e273eda94ec8b71bd2add835fcc6bb1ac30a52e88b8eaef2678766
Homepage: https://bioconductor.org/packages/limma/
Description-en: linear models for microarray data
Microarrays are microscopic plates with carefully arranged short DNA
strands and/or chemically prepared surfaces to which other DNA
preferably binds. The amount of DNA binding at different locations of
these chips, typically determined by a fluorescent dye, is to be
interpreted. The technology is typically used with DNA that is derived
from RNA, i.e to determine the activity of a gene and/or its splice
variants. But the technology is also used to determine sequence
variations in genomic DNA.
.
This Bioconductor package supports the analysis of gene expression
microarray data, especially the use of linear models for analysing
designed experiments and the assessment of differential expression. The
package includes pre-processing capabilities for two-colour spotted
arrays. The differential expression methods apply to all array platforms
and treat Affymetrix, single channel and two channel experiments in a
unified way.
Description-md5: 7d3dc8b6f314fb098c2f22280dac3f37