How to Install and Uninstall simkamin Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: December 30,2024

1. Install "simkamin" package

This guide covers the steps necessary to install simkamin on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                simkamin
            
                    
    
    Copied

2. Uninstall "simkamin" package

In this section, we are going to explain the necessary steps to uninstall simkamin on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                simkamin
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the simkamin package on Ubuntu 20.10 (Groovy Gorilla)

Package: simkamin
Architecture: all
Version: 1.5.2-1
Priority: optional
Section: universe/science
Source: simka
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 384
Depends: python3:any, python3
Filename: pool/universe/s/simka/simkamin_1.5.2-1_all.deb
Size: 31700
MD5sum: a14827912872a491c413837f9915f168
SHA1: a11c1e79426407dcccc314df749b1ff876016e75
SHA256: 378a13a8134ee63412d5dd93c4eb0a377a9c3e902d7f8adfdec2aa3a75e8fc6a
SHA512: c62cde774f37a2fafe53a0a2d2f4170664c7e03ffd7268700f0b782c1ecdf36adbfcda24335c587b5ddc148b2d91c8400d423bb8c7fa33efc481cb6f71d64c3f
Homepage: https://github.com/GATB/simka
Description-en: approximate comparative metagenomics method dedicated to NGS datasets
Simka is a de novo comparative metagenomics tool. Simka represents each
dataset as a k-mer spectrum and compute several classical ecological
distances between them.
.
The difference with Simka stands in the fact that SimkaMin outputs
approximate (but very similar) results by subsampling the kmer space.
With this strategy, and with default parameters, SimkaMin is an order
of magnitude faster, uses 10 times less memory and 70 times less disk
than Simka.
Description-md5: 39f97c91a10d9c334eec1936e7e16bc8