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

Last updated: October 05,2024

1. Install "bio-eagle-examples" package

Here is a brief guide to show you how to install bio-eagle-examples on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This tutorial shows how to uninstall bio-eagle-examples on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                bio-eagle-examples
            
                    
    
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            $
        

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

Package: bio-eagle-examples
Architecture: all
Version: 2.4.1-1build2
Multi-Arch: foreign
Priority: optional
Section: universe/science
Source: bio-eagle
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1518
Enhances: bio-eagle
Filename: pool/universe/b/bio-eagle/bio-eagle-examples_2.4.1-1build2_all.deb
Size: 1523344
MD5sum: 57dea66862330a9ca98e6b5551a3d762
SHA1: da6441bebc5c9a34b5ae73849269f64cda066702
SHA256: 9f3322d26349087474cd3e72bc49171d7f4e46da17182a311f9cea33f0a3f08f
SHA512: 5c963c9466556e14d9dd0e5db086a3218fa9c4f3cdcdcca08f58dfc882be06a0c3f4f83db6740cab1007d93d56bf50ef29567e2486cda52c64779fb291e95c02
Homepage: https://data.broadinstitute.org/alkesgroup/Eagle/
Description-en: Examples for bio-eagle
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.
.
This package provides some example data for eagle.
Description-md5: 721467d5ef17d2df2a7f6046d9b756ed