How to Install and Uninstall golang-github-biogo-biogo-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 03,2024

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

This tutorial shows how to install golang-github-biogo-biogo-dev on Ubuntu 21.10 (Impish Indri)


    
        
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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 guidelines below to uninstall golang-github-biogo-biogo-dev on Ubuntu 21.10 (Impish Indri):


    
        
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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 21.10 (Impish Indri)

Package: golang-github-biogo-biogo-dev
Architecture: all
Version: 1.0.3-1
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_1.0.3-1_all.deb
Size: 190168
MD5sum: aeeea730d86c68b192f5992a8645c55b
SHA1: b9b1d8726f4670c06995e455d108ed9f14577c6e
SHA256: 5fa7a600b456ffef151886a1cd1a810e7a0b22ebfda1e314ae8dd5c4f16ee069
SHA512: 09ab23e8dfc5c740065e1109b3213b769f71a4196f164ff4ab80caad119ec75b6db5e65f27ee407b8845ef10fb63e57c0b6dc9f4fcfa2da4117c5b0cdf491f7f
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