How to Install and Uninstall bio-eagle-examples Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: December 23,2024

1. Install "bio-eagle-examples" package

Please follow the guidelines below to install bio-eagle-examples on Ubuntu 21.04 (Hirsute Hippo)


    
        
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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

Please follow the steps below to uninstall bio-eagle-examples on Ubuntu 21.04 (Hirsute Hippo):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                bio-eagle-examples
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the bio-eagle-examples package on Ubuntu 21.04 (Hirsute Hippo)

Package: bio-eagle-examples
Architecture: all
Version: 2.4.1-3build1
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_2.4.1-3build1_all.deb
Size: 1523596
MD5sum: 47a03136ba1361bbab79aa3f80230fe6
SHA1: 1acc78c8b8bd2604b6137d0b6c6f40ae256b7d8a
SHA256: c32f60332bfb82f8f0cd542e0eb794b88e7c1f2daaa3e56f400c10d9049953c8
SHA512: 9cb9d5bcd63cce1531030d526d419a841c3e742fd893f7b3c817dd45a48659f2a926cbe6c16c2336ec2648a2dd428ea2ee19c8573300514bad35133b356431a4
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