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

Last updated: April 29,2024

1. Install "r-bioc-tximport" package

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


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

Please follow the guidance below to uninstall r-bioc-tximport on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-bioc-tximport
Architecture: all
Version: 1.16.1+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: 152
Depends: r-base-core (>= 4.0.1-1), r-api-4.0, r-api-bioc-3.11
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-readr (>= 0.2.2), r-bioc-limma, r-bioc-edger, r-bioc-deseq2 (>= 1.11.6), r-bioc-rhdf5, r-cran-jsonlite, r-cran-matrixstats, r-cran-matrix
Filename: pool/universe/r/r-bioc-tximport/r-bioc-tximport_1.16.1+dfsg-1_all.deb
Size: 89696
MD5sum: 338be41dcee70f890dacbf4dbd72f3c7
SHA1: 99ad9139d31361cb26100645c7b4617b09a5e59f
SHA256: 56280c751232de1708e34fcff40472c62daf62ca73f31b97482819c929ef7201
SHA512: a83d2c08683981a4bf9bdc6c396df5f8dfe9a70e848fc51273e05a95cac5952defa1c23c0b9a4d816026db7af9b26968dbf114763f87a988ee434e792360457d
Homepage: https://bioconductor.org/packages/tximport/
Description-en: transcript-level estimates for biological sequencing
Imports transcript-level abundance, estimated counts and
transcript lengths, and summarizes into matrices for use with
downstream gene-level analysis packages. Average transcript
length, weighted by sample-specific transcript abundance
estimates, is provided as a matrix which can be used as an
offset for different expression of gene-level counts.
Description-md5: 67ddfa5cda9faa1c977a2033e259c7d1