How to Install and Uninstall r-bioc-deseq2 Package on Kali Linux

Last updated: November 07,2024

1. Install "r-bioc-deseq2" package

Learn how to install r-bioc-deseq2 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-deseq2
            
                    
    
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2. Uninstall "r-bioc-deseq2" package

Please follow the instructions below to uninstall r-bioc-deseq2 on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-bioc-deseq2
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-bioc-deseq2 package on Kali Linux

Package: r-bioc-deseq2
Version: 1.42.0+dfsg-1
Installed-Size: 1716
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-s4vectors (>= 0.23.18), r-bioc-iranges, r-bioc-genomicranges, r-bioc-summarizedexperiment (>= 1.1.6), r-bioc-biocgenerics (>= 0.7.5), r-bioc-biobase, r-bioc-biocparallel, r-cran-matrixstats, r-cran-locfit, r-cran-ggplot2 (>= 3.4.0), r-cran-rcpp (>= 0.11.0), r-bioc-matrixgenerics, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 13.1)
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-pheatmap, r-cran-rcolorbrewer, r-bioc-tximport, r-bioc-tximeta, r-bioc-tximportdata, r-cran-readr, r-cran-pbapply, r-bioc-glmgampoi, r-cran-biocmanager
Size: 1267300
SHA256: 2cf5368d44aed3545056d1d99b68beaaf634465b2a55a0248300bf0e09a44cc2
SHA1: 8a5c5f3e1ac95eda5722f82c74597e01f411ffb1
MD5sum: a15c549be788a623b6dbd0fa23ad362e
Description: R package for RNA-Seq Differential Expression Analysis
Differential gene expression analysis based on the negative binomial
distribution. Estimate variance-mean dependence in count data from
high-throughput sequencing assays and test for differential expression based
on a model using the negative binomial distribution.
Description-md5:
Homepage: https://bioconductor.org/packages/DESeq2/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-deseq2/r-bioc-deseq2_1.42.0+dfsg-1_amd64.deb