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

Last updated: December 29,2024

1. Install "gwama" package

Please follow the instructions below to install gwama on Ubuntu 21.04 (Hirsute Hippo)


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

This guide covers the steps necessary to uninstall gwama on Ubuntu 21.04 (Hirsute Hippo):


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

Package: gwama
Architecture: amd64
Version: 2.2.2+dfsg-4
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: 281
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4)
Filename: pool/universe/g/gwama/gwama_2.2.2+dfsg-4_amd64.deb
Size: 83588
MD5sum: fb6e9abe041da0f173bb30ef5281fce2
SHA1: ca9f129b88f9dd38bda0c526f1f296d3a3e29b6c
SHA256: d535d876b89891fa7a428caaa74140e77f8f4dca58721932bba46e688ac86bb3
SHA512: 4798ad83b3587ea83525cc7f1e55fb93a1d2296848ef75b24c349fccf420d3e30dbcb606b9eeb7808cd766fddd6def3dbd872266046908e7acc889a9512a42e4
Homepage: https://www.geenivaramu.ee/en/tools/gwama
Description-en: Genome-Wide Association Meta Analysis
GWAMA (Genome-Wide Association Meta Analysis) software performs
meta-analysis of the results of GWA studies of binary or
quantitative phenotypes. Fixed- and random-effect meta-analyses are
performed for both directly genotyped and imputed SNPs using
estimates of the allelic odds ratio and 95% confidence interval for
binary traits, and estimates of the allelic effect size and standard
error for quantitative phenotypes. GWAMA can be used for analysing
the results of all different genetic models (multiplicative,
additive, dominant, recessive). The software incorporates error
trapping facilities to identify strand alignment errors and allele
flipping, and performs tests of heterogeneity of effects between studies.
Description-md5: db863b4b12508d1f49402a76e1c5de8f