How to Install and Uninstall ltrsift Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 23,2024

1. Install "ltrsift" package

Please follow the steps below to install ltrsift on Ubuntu 21.10 (Impish Indri)


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

Please follow the guidance below to uninstall ltrsift on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                ltrsift
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the ltrsift package on Ubuntu 21.10 (Impish Indri)

Package: ltrsift
Architecture: amd64
Version: 1.0.2-9
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: 384
Depends: libc6 (>= 2.7), libcairo2 (>= 1.2.4), libgdk-pixbuf2.0-0 (>= 2.22.0), libgenometools0 (>= 1.6.1+ds), libglib2.0-0 (>= 2.35.9), libgtk2.0-0 (>= 2.18.0), libpango-1.0-0 (>= 1.14.0)
Recommends: last-align, ncbi-blast+
Filename: pool/universe/l/ltrsift/ltrsift_1.0.2-9_amd64.deb
Size: 109224
MD5sum: 3e3166b0668b862c3a41368c7cd2f36e
SHA1: 756b5f0a2fd855d2051abc5d81a1357614b23d19
SHA256: 3210b95f5184f9501e0f7886d6a628ff6d2f8fea7044774580467868365517f0
SHA512: b8a2a88718de56332e037ee87fa26082e8f938939806f320a24e3d56c82aeec710911587e3e11db7292b95bac93a16d5c028ee352991c705269de71e543e893f
Homepage: https://www.zbh.uni-hamburg.de/en/forschung/gi/software/ltrsift.html
Description-en: postprocessing and classification of LTR retrotransposons
LTRsift is a graphical desktop tool for semi-automatic postprocessing of de
novo predicted LTR retrotransposon annotations, such as the ones generated by
LTRharvest and LTRdigest. Its user-friendly interface displays LTR
retrotransposon candidates, their putative families and their internal
structure in a hierarchical fashion, allowing the user to "sift" through the
sometimes large results of de novo prediction software. It also offers
customizable filtering and classification functionality.
Description-md5: f8bcb0ba51b73813c0218d80b77db274