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

Last updated: November 22,2024

1. Install "r-bioc-basilisk" package

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


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

This guide covers the steps necessary to uninstall r-bioc-basilisk on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-bioc-basilisk
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-bioc-basilisk
Version: 1.14.3+ds-1
Installed-Size: 166
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-cran-reticulate, r-bioc-dir.expiry, r-bioc-basilisk.utils (>= 1.14.1)
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-cran-testthat, r-cran-callr
Size: 93688
SHA256: b2f4e6e33c880e0573888c5b234ecd88e145e77c318e3e9cb9dd866d7efccbb8
SHA1: 2adaba8c272627f8698270fb6dd361db173acf41
MD5sum: 1639d85d5feb21435908eb7dc089d419
Description: freezing Python dependencies inside Bioconductor packages
Installs a self-contained conda instance that is managed by the
R/Bioconductor installation machinery. This aims to provide a consistent
Python environment that can be used reliably by Bioconductor packages.
Functions are also provided to enable smooth interoperability of
multiple Python environments in a single R session.
.
The parallel installation of multiple versions of the same software is
not supported in Debian - that is meant as a feature, not as a bug.
Earlier versions of anything that has ever surfaced in Debian can be
retrieved via snapshot.debian.org and integrated in a running system
via a chroot directory or by creating a container. An increasing number
of Python-R-interactions for machine learning however uses basilisk
to help quick'n'easy reproducibility between installations.
Description-md5:
Homepage: https://bioconductor.org/packages/basilisk/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-basilisk/r-bioc-basilisk_1.14.3+ds-1_amd64.deb