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

Last updated: December 24,2024

1. Install "r-bioc-rgsepd" package

This tutorial shows how to install r-bioc-rgsepd on Ubuntu 20.10 (Groovy Gorilla)


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

Here is a brief guide to show you how to uninstall r-bioc-rgsepd on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-bioc-rgsepd
Architecture: all
Version: 1.20.2-1
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: 1437
Depends: r-base-core (>= 4.0.1-1), r-api-4.0, r-api-bioc-3.11, r-bioc-deseq2, r-bioc-goseq (>= 1.28), r-cran-gplots, r-bioc-biomart, r-bioc-org.hs.eg.db, r-bioc-go.db, r-bioc-summarizedexperiment, r-cran-hash, r-bioc-annotationdbi
Suggests: r-cran-boot, r-bioc-biocgenerics, r-cran-knitr, r-cran-xtable
Filename: pool/universe/r/r-bioc-rgsepd/r-bioc-rgsepd_1.20.2-1_all.deb
Size: 1359912
MD5sum: 6ee608313c439d2a7b27a4a45a747a9c
SHA1: 39e21a4774c906db3e87b71a40995fce6a28bd54
SHA256: 83d9105a0bc3f0c0e775f4c375f37375aab957fdccb9580ed5a46dcc7b2df5bf
SHA512: 3ef7de5c63c9149a2b2bfdb139778cb5bc08a0f7ab4ff46461840b3e20e7691b363e4ee4472703f446b085f2546f1e0ed041f8c6061a287c60ddf0f7f0a5f987
Homepage: https://bioconductor.org/packages/rgsepd/
Description-en: GNU R gene set enrichment / projection displays
R/GSEPD is a bioinformatics package for R to help
disambiguate transcriptome samples (a matrix of RNA-Seq counts
at transcript IDs) by automating differential expression (with
DESeq2), then gene set enrichment (with GOSeq), and finally a
N-dimensional projection to quantify in which ways each sample
is like either treatment group.
Description-md5: ba79e2df720fd833f415034334caf9f4