How to Install and Uninstall bio-eagle Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: September 21,2024

1. Install "bio-eagle" package

Please follow the steps below to install bio-eagle on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                bio-eagle
            
                    
    
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2. Uninstall "bio-eagle" package

This guide let you learn how to uninstall bio-eagle on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                bio-eagle
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the bio-eagle package on Ubuntu 20.10 (Groovy Gorilla)

Package: bio-eagle
Architecture: amd64
Version: 2.4.1-1build2
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: 674
Depends: libboost-iostreams1.71.0, libboost-program-options1.71.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libhts3 (>= 1.10), libopenblas0, libstdc++6 (>= 5.2)
Recommends: med-config (>= 2.1)
Suggests: bio-eagle-examples
Filename: pool/universe/b/bio-eagle/bio-eagle_2.4.1-1build2_amd64.deb
Size: 230920
MD5sum: 7ea71ee889ae38cd9eb9d4c978bb7bf6
SHA1: 596317eaed8cf8262272b520f78708d818fb7bbe
SHA256: 7210a695927d63d39b8e099c7741a1841b0f1c0d632defc2fb9e0d5aefbfef0d
SHA512: dd278f0e13967cc117a34f4df0377ca0e9d41d4aab4809b5888656c1eef052a0d07d57ee1f06c8bd8452f85b220e9853772a44177ed5e0ead3190fcc8b3001d9
Homepage: https://data.broadinstitute.org/alkesgroup/Eagle/
Description-en: Haplotype phasing within a genotyped cohort or using a phased reference panel
Eagle estimates haplotype phase either within a genotyped cohort or using a
phased reference panel. The basic idea of the Eagle1 algorithm is to harness
identity-by-descent among distant relatives—which is pervasive at very large
sample sizes but rare among smaller numbers of samples—to rapidly call phase
using a fast scoring approach. In contrast, the Eagle2 algorithm analyzes a
full probabilistic model similar to the diploid Li-Stephens model used by
previous HMM-based methods.
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Please note: The executable was renamed to bio-eagle because of a name clash.
Please read more about this in /usr/share/doc/bio-eagle/README.Debian.
Description-md5: ea6e8307bcd12f756aab2c02e5d41b0e