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

Last updated: November 25,2024

1. Install "gwama" package

Please follow the instructions below to install gwama on Ubuntu 20.10 (Groovy Gorilla)


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

In this section, we are going to explain the necessary steps to uninstall gwama on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: gwama
Architecture: amd64
Version: 2.2.2+dfsg-2build1
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: 266
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-2build1_amd64.deb
Size: 82624
MD5sum: 63b7045f4ce78305c9d449fd9cb478d2
SHA1: 514e77c6291b86ca68091e3bcb4f4729061b4e58
SHA256: d5351d7345ce432ec12df32399aa854fb68000b55c451bc4125e1d6357944f9e
SHA512: 36fabc742276c34b02120cd32530c252454aae474b4ec3d668fac17b273c79812a323184489729966e37cc6099c11ff08b98a377b17344f861ca2ff09d410b52
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