How to Install and Uninstall dnaclust Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: February 02,2025

1. Install "dnaclust" package

This guide let you learn how to install dnaclust on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                dnaclust
            
                    
    
    Copied

2. Uninstall "dnaclust" package

Learn how to uninstall dnaclust on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                dnaclust
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the dnaclust package on Ubuntu 20.10 (Groovy Gorilla)

Package: dnaclust
Architecture: amd64
Version: 3-7build1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 728
Depends: libboost-program-options1.71.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Filename: pool/universe/d/dnaclust/dnaclust_3-7build1_amd64.deb
Size: 119676
MD5sum: e6f276dd5f0ad22a832649a3ef3e1861
SHA1: 24bcae0f7d729b58ae7f1c49f1504be09d0dca1a
SHA256: 2d7619a26b2148d91c53ec42f267b26696561b1d53f08779c28a128184233984
SHA512: f0b328555ca9ef6e2b9c1f8a9e11696aa1de5aa9dd3d47736e7d946b1fc936d8d625ae3bac2cc1b5ac0ec8b65a5e2c2c8935b24ec730f3c95ce20aa0ef594918
Homepage: http://dnaclust.sourceforge.net/
Description-en: tool for clustering millions of short DNA sequences
dnaclust is a tool for clustering large number of short DNA sequences.
The clusters are created in such a way that the "radius" of each
clusters is no more than the specified threshold.
.
The input sequences to be clustered should be in Fasta format. The id
of each sequence is based on the first word of the seqeunce in the Fasta
format. The first word is the prefix of the header up to the first
occurrence of white space characters in the header.
Description-md5: f09f4c2cdae8b3abdcd9f1c868d093e3