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

Last updated: November 26,2024

1. Install "r-bioc-aroma.light" package

In this section, we are going to explain the necessary steps to install r-bioc-aroma.light on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-bioc-aroma.light
            
                    
    
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2. Uninstall "r-bioc-aroma.light" package

This tutorial shows how to uninstall r-bioc-aroma.light on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-bioc-aroma.light
Architecture: all
Version: 3.18.0-2build1
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: 975
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-cran-r.methodss3 (>= 1.7.1), r-cran-r.oo (>= 1.23.0), r-cran-r.utils (>= 2.9.0), r-cran-matrixstats (>= 0.55.0)
Suggests: r-cran-princurve (>= 2.1.4)
Filename: pool/universe/r/r-bioc-aroma.light/r-bioc-aroma.light_3.18.0-2build1_all.deb
Size: 570528
MD5sum: fc107cf99d05cdec001d22d627591cf2
SHA1: f9a30a65fb842707ab4b9406021863958b41dfce
SHA256: f1a22864fbc672e4390603f2d20524974158c8f12377c7af5988d32bb29f7768
SHA512: 308a2a3c564f8e6a62e7996e6a15399d8c7120ee737dbca4f6f6481b4a07d82ebf38c3cb69dbe22ddaec6029b2a0781d59af832be97d63caff00c50f6774b0c5
Homepage: https://bioconductor.org/packages/aroma.light/
Description-en: BioConductor methods normalization and visualization of microarray data
This BioConductor module provides light-weight methods for
normalization and visualization of microarray data using only basic R
data types.
.
Methods for microarray analysis that take basic data types such as
matrices and lists of vectors. These methods can be used standalone, be
utilized in other packages, or be wrapped up in higher-level classes.
Description-md5: 5526c0325421cdfef60a7421816a5a58