How to Install and Uninstall r-bioc-hilbertvis Package on Kali Linux

Last updated: February 03,2025

1. Install "r-bioc-hilbertvis" package

Here is a brief guide to show you how to install r-bioc-hilbertvis on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-bioc-hilbertvis
            
                    
    
    Copied

2. Uninstall "r-bioc-hilbertvis" package

Please follow the guidelines below to uninstall r-bioc-hilbertvis on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-bioc-hilbertvis
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-bioc-hilbertvis package on Kali Linux

Package: r-bioc-hilbertvis
Version: 1.60.0-1
Installed-Size: 1511
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-cran-lattice, libc6 (>= 2.4)
Suggests: r-bioc-iranges
Size: 886748
SHA256: 36c9db51fe6446e8740ebe0d997510e96e3c5f039440ad8f0aabea1ced0bae49
SHA1: 2ab74b9eb2efb797eaa732b48f8484e98fb690ee
MD5sum: 911f867fb96adbaa19464de5c8995a43
Description: 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:
Homepage: https://bioconductor.org/packages/HilbertVis
Tag: field::biology, field::biology:bioinformatics, implemented-in::r,
role::program, use::analysing
Section: math
Priority: optional
Filename: pool/main/r/r-bioc-hilbertvis/r-bioc-hilbertvis_1.60.0-1_amd64.deb