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

Last updated: May 10,2024

1. Install "scrm" package

Please follow the instructions below to install scrm on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                scrm
            
                    
    
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2. Uninstall "scrm" package

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


    
        
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                sudo apt remove
            
                        
                scrm
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the scrm package on Ubuntu 20.10 (Groovy Gorilla)

Package: scrm
Architecture: amd64
Version: 1.7.3-1build1
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: 180
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 5.2)
Filename: pool/universe/s/scrm/scrm_1.7.3-1build1_amd64.deb
Size: 67468
MD5sum: d8f92e3c78deb9b670b211340cf34501
SHA1: 5ebed2befc87f1afa90542f2121e4492d9c5fa54
SHA256: 1dea0c7e63cc686dc932e2aa48d8fd92d849a2e89dcacc416431b5fcbb923187
SHA512: 5dec1109753d2811f7881e7e3035713315d5796ad31a205329c4adcd9a466923a4c5642a2e5d0b65f1d8316fd5fa2d225be7d5cc13388550fe548eec0a210280
Homepage: https://github.com/scrm/scrm
Description-en: simulator of evolution of genetic sequences
scrm simulates the evolution of genetic sequences.
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It takes a neutral evolutionary model as input, and generates random sequences
that evolved under the model. As coalescent simulator, it traces the ancestry
of the sampled sequences backwards in time and is therefore extremely
efficient. Compared to other coalescent simulators, it can simulate
chromosome-scale sequences without a measureable reduction of genetic linkage
between different sites.
Description-md5: 8514589e0ebc0ab683f6d367891fbf88