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

Last updated: May 14,2024

1. Install "r-bioc-rsubread" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-rsubread
            
                    
    
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2. Uninstall "r-bioc-rsubread" package

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


    
        
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                sudo apt remove
            
                        
                r-bioc-rsubread
            
                    
    
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            $
        

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

Package: r-bioc-rsubread
Architecture: amd64
Version: 2.2.6-1
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: 34901
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.11, r-cran-matrix, libc6 (>= 2.14), zlib1g (>= 1:1.2.2.4)
Filename: pool/universe/r/r-bioc-rsubread/r-bioc-rsubread_2.2.6-1_amd64.deb
Size: 7288516
MD5sum: 376a2adea51765393f097975c9b466c0
SHA1: c348369d6409d5263862900e62e14826ef6c760d
SHA256: 482938c42db9b2729408ac72b26d123b6ac1ddc205321e6915079589f4a1c33c
SHA512: efb10cf6a2f50663d5a7fb80cf08d1d7c8339da7a54344c9d148e017f1ec243b16d027fc575d2ea744180a4eb56fe21ede87f7187e4f8a372d36fd1199d7eedc
Homepage: https://bioconductor.org/packages/Rsubread/
Description-en: Subread Sequence Alignment and Counting for R
Alignment, quantification and analysis of second and third generation
sequencing data. Includes functionality for read mapping, read counting,
SNP calling, structural variant detection and gene fusion discovery.
.
Can be applied to all major sequencing techologies and to both short
and long sequence reads.
Description-md5: c5d4f335de476a5d83afe6183ad19d81