How to Install and Uninstall r-cran-webgestaltr Package on Kali Linux

Last updated: May 19,2024

1. Install "r-cran-webgestaltr" package

This guide let you learn how to install r-cran-webgestaltr on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-webgestaltr
            
                    
    
    Copied

2. Uninstall "r-cran-webgestaltr" package

Please follow the step by step instructions below to uninstall r-cran-webgestaltr on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-webgestaltr
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-webgestaltr package on Kali Linux

Package: r-cran-webgestaltr
Version: 0.4.6-1
Installed-Size: 972
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.3.1-1), r-api-4.0, r-cran-dplyr, r-cran-dorng, r-cran-readr, r-cran-doparallel (>= 1.0.10), r-cran-foreach (>= 1.4.0), r-cran-jsonlite, r-cran-httr, r-cran-rlang, r-cran-svglite, r-cran-igraph, r-cran-whisker, r-cran-apcluster, r-cran-rcpp, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Size: 470276
SHA256: 2510158ee2aae0ea9c133aace92efd1684e4256bfcf2fe650fbf1dc690c8c981
SHA1: 91f0e80c03f8a0ae3aeb0512e8f1d4cfc32637fc
MD5sum: 5f585d12bfbedeac320dcd3e3ffa1e9c
Description: find over-represented properties in gene lists
The web version WebGestalt supports 12
organisms, 354 gene identifiers and 321,251 function categories. Users
can upload the data and functional categories with their own gene
identifiers. In addition to the Over-Representation Analysis, WebGestalt
also supports Gene Set Enrichment Analysis and Network Topology
Analysis. The user-friendly output report allows interactive and
efficient exploration of enrichment results. The WebGestaltR package not
only supports all above functions but also can be integrated into other
pipeline or simultaneously analyze multiple gene lists.
Description-md5:
Homepage: https://cran.r-project.org/package=WebGestaltR
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-webgestaltr/r-cran-webgestaltr_0.4.6-1_amd64.deb