How to Install and Uninstall r-bioc-scater Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: December 29,2024

1. Install "r-bioc-scater" package

Learn how to install r-bioc-scater on Ubuntu 24.04 LTS (Noble Numbat)


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

This tutorial shows how to uninstall r-bioc-scater on Ubuntu 24.04 LTS (Noble Numbat):


    
        
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                sudo apt remove
            
                        
                r-bioc-scater
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-scater package on Ubuntu 24.04 LTS (Noble Numbat)

Package: r-bioc-scater
Architecture: all
Version: 1.30.1+ds-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: 649
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-singlecellexperiment, r-bioc-scuttle, r-cran-ggplot2, r-cran-matrix, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-bioc-delayedarray, r-bioc-matrixgenerics, r-bioc-beachmat, r-bioc-biocneighbors, r-bioc-biocsingular, r-bioc-biocparallel, r-cran-rlang, r-cran-ggbeeswarm, r-cran-viridis, r-cran-rtsne, r-cran-rcolorbrewer, r-cran-rcppml, r-cran-uwot, r-cran-pheatmap, r-cran-ggrepel, r-cran-ggrastr
Suggests: r-bioc-biocstyle, r-bioc-densvis, r-cran-cowplot, r-bioc-biomart, r-cran-knitr, r-bioc-scrnaseq, r-cran-robustbase, r-cran-rmarkdown, r-cran-testthat, r-bioc-biobase, r-cran-scattermore
Filename: pool/universe/r/r-bioc-scater/r-bioc-scater_1.30.1+ds-2_all.deb
Size: 458718
MD5sum: 8e6ff5d67c64c217543f28cd05a3913b
SHA1: f55c6ff83ffe81f077f732413a328cd8146f32e9
SHA256: 410a75c514e2cdd7eed08d18c5cfda78f5a799982f9ccb8c4b9d7faeb71cecc6
SHA512: 921ddd45fbee601a94171233da7130a6668ec7c09df7acf9931f7ed608b8c8b8a30ce037c0860d10898de47550f1bfd88648505e49a1f38087cdce4c89f3ad40
Homepage: https://bioconductor.org/packages/scater/
Description: Single-Cell Analysis Toolkit for Gene Expression Data in R
Description-md5: bf6ae79152eb75c733d537b74fa2f65c