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

Last updated: May 13,2024

1. Install "arden" package

This is a short guide on how to install arden on Ubuntu 21.10 (Impish Indri)


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

Here is a brief guide to show you how to uninstall arden on Ubuntu 21.10 (Impish Indri):


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

Package: arden
Architecture: all
Version: 1.0-5
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: 1156
Depends: python3:any, python3-scipy, python3-numpy, python3-htseq, python3-matplotlib
Filename: pool/universe/a/arden/arden_1.0-5_all.deb
Size: 89236
MD5sum: b303b139b15852a54aa5bb228cea7372
SHA1: f8944e001388d4476db4291e91f991f0c699d8c0
SHA256: ec94232138585c182a5003565ec70277e8fa389cdfef13a671f48e61fae460da
SHA512: 29f6bac28228b6a6e767db9ce2dac9f873fb5cac9592d65a386c92bd7c3a9096fd125454f7b5dffcf52a847883297eb256af76a27354fcf497cb9afc63c1bb1d
Homepage: http://sourceforge.net/projects/arden/
Description-en: specificity control for read alignments using an artificial reference
ARDEN (Artificial Reference Driven Estimation of false positives in NGS
data) is a novel benchmark that estimates error rates based on real
experimental reads and an additionally generated artificial reference
genome. It allows the computation of error rates specifically for a
dataset and the construction of a ROC-curve. Thereby, it can be used to
optimize parameters for read mappers, to select read mappers for a
specific problem or also to filter alignments based on quality
estimation.
Description-md5: d4e3cbc891f56c41cb4a95fba3d615e8