How to Install and Uninstall lambda-align Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 11,2024

1. Install "lambda-align" package

This is a short guide on how to install lambda-align on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                lambda-align
            
                    
    
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2. Uninstall "lambda-align" package

This tutorial shows how to uninstall lambda-align on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                lambda-align
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the lambda-align package on Ubuntu 21.04 (Hirsute Hippo)

Package: lambda-align
Architecture: amd64
Version: 1.0.3-6
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: 4921
Depends: libbz2-1.0, libc6 (>= 2.29), libgcc-s1 (>= 3.4), libgomp1 (>= 6), libstdc++6 (>= 9), zlib1g (>= 1:1.1.4)
Suggests: cwl-runner
Filename: pool/universe/l/lambda-align/lambda-align_1.0.3-6_amd64.deb
Size: 1248396
MD5sum: c440a8dafda87db348bb3df8841ae2b4
SHA1: 04f45374bb16ea0435c3221264ed01a4f5008bd0
SHA256: 67727fde4867a23bca9df7987a9d408515b80f772dc3db268e72d14b40e95885
SHA512: 78fdd36082d0f6ad87576845c5945f96bb1cbded5f329b03b94d469160ba2f3bc1025e442a0e09646b9cf9d4d62c64c0aad024baf9b84679d6d65e49a78b0cd3
Homepage: https://seqan.github.io/lambda
Description-en: Local Aligner for Massive Biological DatA
Lambda is a local biosequence aligner optimized for many query sequences
and searches in protein space. It is compatible to the de facto standard tool
BLAST, but often outperforms the best currently available alternatives at
reproducing BLAST’s results and is the fastest compared with the current
state of the art at comparable levels of sensitivity.
Description-md5: 824d9e146ca55261f5f66d6d34b3901a