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

Last updated: May 20,2024

1. Install "r-bioc-saturn" package

This guide let you learn how to install r-bioc-saturn on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-bioc-saturn
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-bioc-saturn
Version: 1.10.0+dfsg-1
Installed-Size: 3032
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-api-bioc-3.18, r-cran-locfdr, r-bioc-summarizedexperiment, r-bioc-biocparallel, r-bioc-limma, r-cran-pbapply, r-cran-ggplot2, r-cran-boot, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-bioc-biocstyle, r-bioc-annotationhub, r-bioc-ensembldb, r-bioc-edger, r-bioc-dexseq, r-bioc-delayedarray
Size: 3017772
SHA256: 76f3d9dadf3fe4e0d35720cb5f6fa1cdb997bec5d9be8ac68a26e5a41a5ff3ff
SHA1: 5c22cb7789d2cb5b4e2be30649fc4b1e736985df
MD5sum: e7dec133fbc0d2ebde49f583557f0e64
Description: scalable analysis of differential transcript usage for RNA-sequencing
This Bioconductor package can be used for Scalable Analysis of Differential
Transcript Usage for Bulk and Single-Cell RNA-sequencing.
.
Applications satuRn provides a higly
performant and scalable framework for performing differential
transcript usage analyses. The package consists of three main
functions. The first function, fitDTU, fits quasi-binomial
generalized linear models that model transcript usage in different
groups of interest. The second function, testDTU, tests for
differential usage of transcripts between groups of interest.
Finally, plotDTU visualizes the usage profiles of transcripts in
groups of interest.
Description-md5:
Homepage: https://bioconductor.org/packages/satuRn/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-saturn/r-bioc-saturn_1.10.0+dfsg-1_all.deb