How to Install and Uninstall q2-feature-classifier Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: November 26,2024

1. Install "q2-feature-classifier" package

This is a short guide on how to install q2-feature-classifier on Ubuntu 22.10 (Kinetic Kudu)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                q2-feature-classifier
            
                    
    
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2. Uninstall "q2-feature-classifier" package

Here is a brief guide to show you how to uninstall q2-feature-classifier on Ubuntu 22.10 (Kinetic Kudu):


    
        
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                sudo apt remove
            
                        
                q2-feature-classifier
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the q2-feature-classifier package on Ubuntu 22.10 (Kinetic Kudu)

Package: q2-feature-classifier
Architecture: all
Version: 2022.2.0-1
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: 874
Depends: python3:any, python3-sklearn, python3-skbio, python3-joblib, python3-biom-format, ncbi-blast+, vsearch, qiime (>= 2021.8.0), q2-types (>= 2021.8.0), q2-quality-control (>= 2021.8.0), q2-taxa (>= 2021.8.0), q2-feature-table (>= 2021.8.0)
Filename: pool/universe/q/q2-feature-classifier/q2-feature-classifier_2022.2.0-1_all.deb
Size: 119926
MD5sum: 9aa5c5562b6d4eab306a8647713103e2
SHA1: fa14cc11efaa4abfafbae1d58a6e39a7d4f44acb
SHA256: 637bf43f12b6cfa1258ef0407cd8a49608907087acc790ede0e285e657d9b6c8
SHA512: 3d6e91c88155cda46e7b212e82a3dc85baa67aa9d86c5ccbf0da0ed2859dffad73d3090460b3a760e65a5a753f2978873cb37dddfbdda4c56fb7875e314a3ba7
Homepage: https://qiime2.org/
Description: QIIME 2 plugin supporting taxonomic classification
Description-md5: e5f6366a8a8ea5dc0ebd2973ee95d9e3