How to Install and Uninstall r-bioc-hilbertvis Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 06,2024

1. Install "r-bioc-hilbertvis" package

Please follow the instructions below to install r-bioc-hilbertvis on Ubuntu 21.10 (Impish Indri)


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

Here is a brief guide to show you how to uninstall r-bioc-hilbertvis on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-bioc-hilbertvis
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-hilbertvis package on Ubuntu 21.10 (Impish Indri)

Package: r-bioc-hilbertvis
Architecture: amd64
Version: 1.48.0-1
Priority: optional
Section: universe/math
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1498
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.12, r-cran-lattice, libc6 (>= 2.4)
Suggests: r-bioc-iranges
Filename: pool/universe/r/r-bioc-hilbertvis/r-bioc-hilbertvis_1.48.0-1_amd64.deb
Size: 895092
MD5sum: 7669be8d287004a1a9f50dde95abee4c
SHA1: 2d47e3cad027fe710286c4700edfffdafbb81a59
SHA256: e8bf8dfcbc46c805793821408636f0dcc7af739aa314d719cf75b89e6ebf3bf6
SHA512: a0430e289fc018863d34a3312289208c56ec4a9b754c8ce0185b5b373ad6b1413536f5d575db5fbf422a3ad99197d253bdaca6f184e15242bca8a74afed44c04
Homepage: https://bioconductor.org/packages/HilbertVis
Description-en: GNU R package to visualise long vector data
This tool allows one to display very long data vectors in a space-efficient
manner, by organising it along a 2D Hilbert curve. The user can then
visually judge the large scale structure and distribution of features
simultaenously with the rough shape and intensity of individual features.
.
In bioinformatics, a typical use case is ChIP-Chip and ChIP-Seq,
or basically all the kinds of genomic data, that are conventionally
displayed as quantitative track ("wiggle data") in genome browsers such
as those provided by Ensembl or UCSC.
Description-md5: ef2bbbd3831fe633c838f37f00806810