How to Install and Uninstall grinder Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 26,2024

1. Install "grinder" package

This guide covers the steps necessary to install grinder on Ubuntu 21.04 (Hirsute Hippo)


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

Please follow the guidance below to uninstall grinder on Ubuntu 21.04 (Hirsute Hippo):


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

Package: grinder
Architecture: all
Version: 0.5.4-6
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: 245
Depends: perl:any, libbio-perl-perl, libgetopt-euclid-perl, libmath-random-mt-perl
Filename: pool/universe/g/grinder/grinder_0.5.4-6_all.deb
Size: 79744
MD5sum: 600ac5c8f62a1c1064b42820e7035808
SHA1: 73e1c54ddc6696d3fa34f0ae1c1c77dfe1200522
SHA256: fcccf6087e7a362e29f5bf94d26f7a3928ab80c90571a5f3d61dc968937c2ceb
SHA512: 9c8fa517cd37a1dd7a60bf6ae2895b5011e9d4031cf6bffde8d13cd95c6b404a92a9912b559f6f8b836ee080e3ddb0bc734641c56439acd0bc08eaa7b62f200d
Homepage: https://sourceforge.net/projects/biogrinder/
Description-en: Versatile omics shotgun and amplicon sequencing read simulator
Grinder is a versatile program to create random shotgun and amplicon sequence
libraries based on DNA, RNA or proteic reference sequences provided in a
FASTA file.
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Grinder can produce genomic, metagenomic, transcriptomic, metatranscriptomic,
proteomic, metaproteomic shotgun and amplicon datasets from current
sequencing technologies such as Sanger, 454, Illumina. These simulated
datasets can be used to test the accuracy of bioinformatic tools under
specific hypothesis, e.g. with or without sequencing errors, or with low or
high community diversity. Grinder may also be used to help decide between
alternative sequencing methods for a sequence-based project, e.g. should the
library be paired-end or not, how many reads should be sequenced.
Description-md5: 83e4b80a1bd0288759d7cb1739440cc0