How to Install and Uninstall bedops-doc Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: April 28,2024

1. Install "bedops-doc" package

Learn how to install bedops-doc on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                bedops-doc
            
                    
    
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2. Uninstall "bedops-doc" package

Please follow the steps below to uninstall bedops-doc on Ubuntu 21.04 (Hirsute Hippo):


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

Package: bedops-doc
Architecture: all
Version: 2.4.39+dfsg1-2
Priority: optional
Section: universe/doc
Source: bedops
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 29874
Depends: libjs-sphinxdoc, libjs-mathjax
Filename: pool/universe/b/bedops/bedops-doc_2.4.39+dfsg1-2_all.deb
Size: 21949576
MD5sum: 84de60a5f84cc451a83a010f3d67a0d6
SHA1: 75cf30e174bc6cdd699d8e70c89e7dd58381f6c1
SHA256: 50c41569da8cac88cef031364dc34708d3fc7c9d3a740287ed1e626c3f24ee0a
SHA512: 338418fc7641ef08eecbd7a434998e5b3424bfb4bdf824dad13bdc1ed601cfc1be11f354dde96783b4750e9e515164a81994a16ad0ecbc7b2210ec87f29c8da4
Homepage: https://github.com/bedops/bedops
Description-en: high-performance genomic feature operations (documentation)
BEDOPS is a suite of tools to address common questions raised in genomic
studies, mostly with regard to overlap and proximity relationships between
data sets.
It aims to be scalable and flexible, facilitating the efficient and accurate
analysis and management of large-scale genomic data.
.
This package contains the BEDOPS documentation.
Description-md5: e1d4c266bacfbc5a71652190723dd958