How to Install and Uninstall r-bioc-s4vectors Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 14,2024

1. Install "r-bioc-s4vectors" package

This guide let you learn how to install r-bioc-s4vectors on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-bioc-s4vectors
            
                    
    
    Copied

2. Uninstall "r-bioc-s4vectors" package

This is a short guide on how to uninstall r-bioc-s4vectors on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-bioc-s4vectors
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-bioc-s4vectors package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-bioc-s4vectors
Architecture: amd64
Version: 0.26.1-1build1
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: 2947
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, r-bioc-biocgenerics (>= 0.31.1), libc6 (>= 2.14)
Recommends: r-cran-runit, r-bioc-iranges (>= 2.0.0), r-bioc-genomicranges
Suggests: r-bioc-summarizedexperiment, r-cran-matrix, r-bioc-delayedarray, r-bioc-shortread, r-bioc-graph, r-cran-data.table
Breaks: r-bioc-genomicalignments (<< 1.18~), r-bioc-iranges (<< 2.20.2~), r-bioc-shortread (<< 1.40~), r-bioc-variantannotation (<< 1.28~)
Filename: pool/universe/r/r-bioc-s4vectors/r-bioc-s4vectors_0.26.1-1build1_amd64.deb
Size: 2005832
MD5sum: 9c6828536ff9c2d87f53b7b4483aeb33
SHA1: e1d5bed9a0c0e739545fee6ade0e2496827085da
SHA256: d1cbdd0505da0e43ecb40056f43b3434a752ae25c39b4fe395e274c174c8befe
SHA512: ae9f9ea3c7f790a1359c8ad059666a83e10e51ecc30b6f54467becaf19374e513cb203405bc2ad15c244deb4016fb67f2262c41277c4c5c3e60731cc0e95bc77
Homepage: https://bioconductor.org/packages/S4Vectors/
Description-en: BioConductor S4 implementation of vectors and lists
The S4Vectors package defines the Vector and List virtual classes and a
set of generic functions that extend the semantic of ordinary vectors
and lists in R. Package developers can easily implement vector-like or
list-like objects as concrete subclasses of Vector or List. In addition,
a few low-level concrete subclasses of general interest (e.g. DataFrame,
Rle, and Hits) are implemented in the S4Vectors package itself (many
more are implemented in the IRanges package and in other Bioconductor
infrastructure packages).
Description-md5: 321f6c1299f07459519b92d32cad81e2