Complete Guide: Installing trinculo on Ubuntu 20.10 (Groovy Gorilla) 2024

1. Install "trinculo" package

This is a short guide on how to install trinculo on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                trinculo
            
                    
    
    Copied

2. Uninstall "trinculo" package

This guide covers the steps necessary to uninstall trinculo on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                trinculo
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the trinculo package on Ubuntu 20.10 (Groovy Gorilla)

Package: trinculo
Architecture: amd64
Version: 0.96+dfsg-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: 311
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Filename: pool/universe/t/trinculo/trinculo_0.96+dfsg-3_amd64.deb
Size: 93532
MD5sum: ef26bcd87167f1bdf60c3c9eb12bbdcd
SHA1: a21471da83f7b47625f3c1f7e023625002521e5f
SHA256: fa232b5b94e0626b07f6ad2b548e3ea6d5e6bd541fd46233e794fae48c62a4cb
SHA512: 597e3552a1d74666d6063874e9048c739e9c4a56e564d54e6f7e55687139f756cb8405220a2590ee69187c3cf65946402139450dd9602a9794cb469c752befef
Homepage: https://sourceforge.net/projects/trinculo/
Description-en: toolkit to carry out genetic association for multi-category phenotypes
An efficient toolkit for carrying out genetic association for multi-category
phenotypes. Implements multinomial and ordinal association incorporating
covariates, conditional analysis, empirical and non-emperical priors and
fine-mapping.
Description-md5: 610de75b7a990b3b18aefb6b4452c3a6