How to Install and Uninstall ipig Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 22,2024

1. Install "ipig" package

This guide let you learn how to install ipig on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the guidance below to uninstall ipig on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                ipig
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the ipig package on Ubuntu 20.10 (Groovy Gorilla)

Package: ipig
Architecture: amd64
Version: 0.0.r5-3
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: 186
Depends: libcommons-compress-java, libcommons-net-java, libjdom1-java, libxerces2-java
Filename: pool/universe/i/ipig/ipig_0.0.r5-3_amd64.deb
Size: 164752
MD5sum: babb3f93b86c266169713c62d46a0dd5
SHA1: c1668890d00e98bab25cbb9d0c7007c15ca21513
SHA256: 259eaa316f7e0ba6156eeb87873eaddf7bbe2b27f988ce97ff8646c878e2fac1
SHA512: 33ec25e4fc142df9772f1777770b86a7526b3306c579fd24d515417620f33027e9f079424fa1d44733ce43dd621400835ab58a8f3fe464e6709250417e8cb0fa
Homepage: http://sourceforge.net/projects/ipig/
Description-en: integrating PSMs into genome browser visualisations
iPiG targets the integration of peptide spectrum matches (PSMs) from
mass spectrometry (MS) peptide identifications into genomic
visualisations provided by genome browser such as the UCSC genome
browser (http://genome.ucsc.edu/).
.
iPiG takes PSMs from the MS standard format mzIdentML (*.mzid) or in
text format and provides results in genome track formats (BED and GFF3
files), which can be easily imported into genome browsers.
Description-md5: e7fed74addfdd4f7e012d77bd745b91e