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

Last updated: September 20,2024

1. Install "kma" package

Please follow the steps below to install kma on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                kma
            
                    
    
    Copied

2. Uninstall "kma" package

Please follow the steps below to uninstall kma on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                kma
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: kma
Architecture: amd64
Version: 1.3.2-1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 483
Depends: libc6 (>= 2.29), zlib1g (>= 1:1.1.4)
Filename: pool/universe/k/kma/kma_1.3.2-1_amd64.deb
Size: 177656
MD5sum: 535234470d0300c8e1ab3a41f07ce2ec
SHA1: 46aef8cc4962d45e4c6b5621f9b0f497e446cfbe
SHA256: 42daaeb007cdb121f4b327429a04f44e04592e579fc4e3bf5cad59a082a817f0
SHA512: f957c1ec2ba606be8532e1699276ad0a94aec2699ea864f196eaa0b3ae7631d9562bf4a2b8d45e842218b6528533a79d7951c7e901432f201b7f924a4d623f31
Homepage: https://bitbucket.org/genomicepidemiology/kma
Description-en: mapping genomic sequences to raw reads directly against redundant databases
KMA is mapping a method designed to map raw reads directly against
redundant databases, in an ultra-fast manner using seed and extend. KMA
is particularly good at aligning high quality reads against highly
redundant databases, where unique matches often does not exist. It works
for long low quality reads as well, such as those from Nanopore. Non-
unique matches are resolved using the "ConClave" sorting scheme, and a
consensus sequence are outputtet in addition to other common attributes.
Description-md5: 2096f8927a2b82fc955d8fbdca77c1aa