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

Last updated: May 19,2024

1. Install "r-bioc-deseq" package

Here is a brief guide to show you how to install r-bioc-deseq on Ubuntu 20.10 (Groovy Gorilla)


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

In this section, we are going to explain the necessary steps to uninstall r-bioc-deseq on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-bioc-deseq
Architecture: amd64
Version: 1.39.0-2build1
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: 2627
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-bioc-biocgenerics (>= 0.7.5), r-bioc-biobase (>= 2.21.7), r-cran-locfit, r-cran-lattice, r-bioc-genefilter, r-bioc-geneplotter, r-cran-mass, r-cran-rcolorbrewer, libc6 (>= 2.4)
Suggests: r-cran-gplots
Filename: pool/universe/r/r-bioc-deseq/r-bioc-deseq_1.39.0-2build1_amd64.deb
Size: 1965584
MD5sum: d316657b31635a016126335f01c79148
SHA1: 9439543174dd04ff853a920bfd9eca499580c304
SHA256: 9051ffc02c1d3095ffbb7c8ede5a833e72d42672808d4f97f23cbc3aabb81a7b
SHA512: c09e8f05dce8bb3d9a18561b10271f4a6da2c88498abb7aea7e7f372954f851a331bf463eab393febc2a5dcb3a1e2cd1a1f18a5b9d8d68498d99e1d93da95fef
Homepage: https://bioconductor.org/packages/DESeq/
Description-en: GNU R differential gene expression analysis
BioConductor package to estimate variance-mean dependence in count data from
high-throughput sequencing assays and test for differential
expression based on a model using the negative binomial
distribution.
Description-md5: b79cf53ee55bb5eba3986369d0147c19