How to Install and Uninstall golang-github-biogo-biogo-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 25,2024

1. Install "golang-github-biogo-biogo-dev" package

Learn how to install golang-github-biogo-biogo-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                golang-github-biogo-biogo-dev
            
                    
    
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2. Uninstall "golang-github-biogo-biogo-dev" package

Please follow the step by step instructions below to uninstall golang-github-biogo-biogo-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                golang-github-biogo-biogo-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the golang-github-biogo-biogo-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: golang-github-biogo-biogo-dev
Architecture: all
Version: 1.0.2-2
Priority: optional
Section: universe/devel
Source: golang-github-biogo-biogo
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Go Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1972
Depends: golang-github-biogo-hts-dev, golang-gopkg-check.v1-dev
Filename: pool/universe/g/golang-github-biogo-biogo/golang-github-biogo-biogo-dev_1.0.2-2_all.deb
Size: 188260
MD5sum: 807e8e1cf5bbd6d12e1ec969681f76a9
SHA1: 8cb3505e856ace1620ac5524f5391d6609fabd99
SHA256: a159e2a1e88fdfba10b58c7b6e43b32ddc850171fcd06e453f9aaa1af1461f54
SHA512: 72a1bd2f61639c8cee102eccf919a959c77fa00ff921079a5832fe64fa942497c050a4adf5d1bc3d881904777dc2baabfa96ab42189b7d29900250066fd65cf5
Homepage: https://github.com/biogo/biogo
Description-en: biogo is a bioinformatics library for Go (library)
Bíogo stems from the need to address the size and structure of modern
genomic and metagenomic data sets. These properties enforce requirements
on the libraries and languages used for analysis:
.
* speed - size of data sets
* concurrency - problems often embarrassingly parallelisable
.
In addition to the computational burden of massive data set sizes in
modern genomics there is an increasing need for complex pipelines to
resolve questions in tightening problem space and also a developing need
to be able to develop new algorithms to allow novel approaches to
interesting questions. These issues suggest the need for a simplicity in
syntax to facilitate:
.
* ease of coding
* checking for correctness in development and particularly in
peer review
Description-md5: fac22c26d6fee4c81149a0b741913ef0