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

Last updated: December 23,2024

1. Install "r-bioc-tcgabiolinks" package

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


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

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


    
        
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                sudo apt remove
            
                        
                r-bioc-tcgabiolinks
            
                    
    
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            $
        

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

Package: r-bioc-tcgabiolinks
Architecture: all
Version: 2.16.3+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: 5890
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-api-bioc-3.11, r-cran-downloader (>= 0.4), r-cran-dplyr, r-cran-tibble, r-bioc-genomicranges, r-cran-xml (>= 3.98.0), r-cran-data.table, r-cran-jsonlite (>= 1.0.0), r-cran-plyr, r-cran-knitr, r-bioc-biomart, r-cran-ggplot2, r-cran-stringr (>= 1.0.0), r-bioc-iranges, r-cran-rvest (>= 0.3.0), r-bioc-s4vectors, r-cran-r.utils, r-bioc-summarizedexperiment (>= 1.4.0), r-cran-readr, r-cran-tidyr, r-cran-purrr, r-cran-xml2, r-cran-httr (>= 1.2.1)
Recommends: r-cran-testthat, r-bioc-edaseq, r-cran-survminer, r-bioc-edger
Suggests: r-cran-jpeg, r-cran-png, r-cran-rmarkdown, r-cran-devtools, r-cran-parmigene, r-bioc-biobase, r-bioc-affy, r-cran-circlize, r-bioc-consensusclusterplus, r-cran-igraph, r-bioc-limma, r-bioc-sva, r-bioc-genefilter, r-cran-gridextra, r-cran-survival, r-cran-doparallel, r-cran-ggrepel (>= 0.6.3), r-cran-scales
Filename: pool/universe/r/r-bioc-tcgabiolinks/r-bioc-tcgabiolinks_2.16.3+dfsg-1_all.deb
Size: 5627252
MD5sum: 5a701adfd9039dd0ae87254ce25bbc57
SHA1: 69365173586309d0cddeab8f2f3eb4d3eaafda39
SHA256: 368d7b9a242846115acb6c95cf30f9a01cd9bb4e36c5ca63d4fc59a4df862ef6
SHA512: b5ce7ea28e848f8cbe9443e5f01be9cdf2c2ef25aaf11fbc34d17d6b5825f06d914e24d36638b3f9a39927e71de976dc09ae99b7a1030e94177636a6bfa8ae0c
Homepage: https://bioconductor.org/packages/TCGAbiolinks/
Description-en: GNU R/Bioconductor package for integrative analysis with GDC data
The aim of TCGAbiolinks is:
1) facilitate the GDC open-access data retrieval,
2) prepare the data using the appropriate pre-processing strategies,
3) provide the means to carry out different standard analyses and
4) to easily reproduce earlier research results.
In more detail, the package provides multiple methods for analysis (e.g.,
differential expression analysis, identifying differentially methylated
regions) and methods for visualization (e.g., survival plots, volcano plots,
starburst plots) in order to easily develop complete analysis pipelines.
Description-md5: a12bea649d7df136b7f6898c8a08d8c7