Complete Guide: Installing bcbio-doc on Ubuntu 20.10 (Groovy Gorilla) 2024

1. Install "bcbio-doc" package

Please follow the instructions below to install bcbio-doc on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                bcbio-doc
            
                    
    
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2. Uninstall "bcbio-doc" package

Please follow the instructions below to uninstall bcbio-doc on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                bcbio-doc
            
                    
    
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            $
        

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

Package: bcbio-doc
Architecture: all
Version: 1.2.0-2
Built-Using: sphinx (= 2.4.3-2)
Multi-Arch: foreign
Priority: optional
Section: universe/science
Source: bcbio
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1380
Depends: libjs-sphinxdoc (>= 1.0)
Suggests: bcbio | python3-bcbio
Filename: pool/universe/b/bcbio/bcbio-doc_1.2.0-2_all.deb
Size: 375852
MD5sum: 544fbdf239cd3d295f780322d59a7e73
SHA1: ffd5bc81cf3df0f283ec026cfecf293501d15b2a
SHA256: 392de116b9505cf3b4153801f520ed12440ba90eda9338bfd7e2022f847605f0
SHA512: 7bf1e0dd7ac25b10a5e251974d7b6d80a3ea02d5ef412b4e9729ae5483d7adb27b52d03deeb632e2687aa884b8bc4511b87a6d653929bffea5fd3fdc1c74f69f
Homepage: https://github.com/bcbio/bcbio-nextgen
Description-en: Documentation for RNAseq-workflows of bcbio(-nextgen)
This package provides the documentation for all aspects of the
workflows and technology of the bcbio-nextgen toolkit.
.
A high-level configuration file specifies inputs and analysis parameters
to drive a parallel pipeline that handles distributed execution,
idempotent processing restarts and safe transactional steps. The project
contributes a shared community resource that handles the data processing
component of sequencing analysis, providing researchers with more time
to focus on the downstream biology.
Description-md5: 290a5a1226c8e817529a6e3bab4a4081