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

Last updated: November 22,2024

1. Install "r-bioc-edaseq" package

Please follow the step by step instructions below to install r-bioc-edaseq on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Learn how to uninstall r-bioc-edaseq on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-bioc-edaseq
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-bioc-edaseq
Version: 2.36.0+dfsg-1
Installed-Size: 525
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-biobase (>= 2.15.1), r-bioc-shortread (>= 1.11.42), r-bioc-biocgenerics, r-bioc-iranges (>= 1.13.9), r-bioc-aroma.light, r-bioc-rsamtools (>= 1.5.75), r-bioc-biomart, r-bioc-biostrings, r-bioc-annotationdbi, r-bioc-genomicfeatures, r-bioc-genomicranges, r-cran-biocmanager
Suggests: r-bioc-biocstyle, r-cran-knitr, r-bioc-edger, r-cran-kernsmooth, r-cran-testthat, r-bioc-deseq2, r-cran-rmarkdown
Size: 385344
SHA256: 8800fce46e4746b1f8b2bd97986ee5e0586ba08283505915930acf01ee3d2e41
SHA1: dee240e71fe8d8a4f7e767fd647409ca056aed38
MD5sum: f4d3a0774e495c3376a6d85aab987ca2
Description: GNU R exploratory data analysis and normalization for RNA-Seq
Numerical and graphical summaries of RNA-Seq read data.
Within-lane normalization procedures to adjust for GC-content
effect (or other gene-level effects) on read counts: loess
robust local regression, global-scaling, and full-quantile
normalization (Risso et al., 2011). Between-lane normalization
procedures to adjust for distributional differences between
lanes (e.g., sequencing depth): global-scaling and
full-quantile normalization (Bullard et al., 2010).
Description-md5:
Homepage: https://bioconductor.org/packages/EDASeq/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-edaseq/r-bioc-edaseq_2.36.0+dfsg-1_all.deb