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

Last updated: November 22,2024

1. Install "r-bioc-limma" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-limma
            
                    
    
    Copied

2. Uninstall "r-bioc-limma" package

Please follow the step by step instructions below to uninstall r-bioc-limma on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-bioc-limma
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-bioc-limma
Version: 3.58.1+dfsg-1
Installed-Size: 2694
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-cran-statmod, libc6 (>= 2.4)
Suggests: r-cran-biasedurn, r-cran-ellipse, r-cran-gplots, r-cran-knitr, r-cran-locfit, r-cran-mass, r-bioc-affy, r-bioc-annotationdbi, r-bioc-biobase, r-bioc-biocstyle, r-bioc-go.db, r-bioc-org.hs.eg.db
Size: 1950692
SHA256: 98998c24d1dffbee6149d3859e28e3fb3fbc6307b79f356620a8f4fb6d690e7c
SHA1: 32835fe92e3de75e474f223b646ab8c0659f7f03
MD5sum: 52cd7924cd8c293b1f9ab96a10876e09
Description: linear models for microarray data
Microarrays are microscopic plates with carefully arranged short DNA
strands and/or chemically prepared surfaces to which other DNA
preferably binds. The amount of DNA binding at different locations of
these chips, typically determined by a fluorescent dye, is to be
interpreted. The technology is typically used with DNA that is derived
from RNA, i.e to determine the activity of a gene and/or its splice
variants. But the technology is also used to determine sequence
variations in genomic DNA.
.
This Bioconductor package supports the analysis of gene expression
microarray data, especially the use of linear models for analysing
designed experiments and the assessment of differential expression. The
package includes pre-processing capabilities for two-colour spotted
arrays. The differential expression methods apply to all array platforms
and treat Affymetrix, single channel and two channel experiments in a
unified way.
Description-md5:
Homepage: https://bioconductor.org/packages/limma/
Tag: biology::nucleic-acids, field::biology, field::biology:bioinformatics,
implemented-in::r, interface::commandline, role::program
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-limma/r-bioc-limma_3.58.1+dfsg-1_amd64.deb