How to Install and Uninstall spaced Package on Ubuntu 21.10 (Impish Indri)

Last updated: February 24,2025

1. Install "spaced" package

This guide let you learn how to install spaced on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                spaced
            
                    
    
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2. Uninstall "spaced" package

This is a short guide on how to uninstall spaced on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                spaced
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the spaced package on Ubuntu 21.10 (Impish Indri)

Package: spaced
Architecture: amd64
Version: 1.2.0-201605+dfsg-2
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: 157
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 9), libstdc++6 (>= 5.2)
Filename: pool/universe/s/spaced/spaced_1.2.0-201605+dfsg-2_amd64.deb
Size: 56544
MD5sum: 774dddb26eb90bdab2fc2eaae799d3b6
SHA1: c05fec5fbe499e0b166b1fb3808287869864e58a
SHA256: 5d958dfad06782bfa632a3702731ce0d690cc7196b703bae965fa5d12d0612dd
SHA512: 7aefd135ef05c7fdeaad630dfaf9a01098685df72bcd40cd2f0762e1b4eefd0579cdf085aae741c3e991b6d10615836b5d76073716df5a6416c2e2ca793e3c4a
Homepage: https://spaced.gobics.de/
Description-en: alignment-free sequence comparison using spaced words
Spaced (Words) is a new approach to alignment-free sequence
comparison. While most alignment-free algorithms compare the
word-composition of sequences, spaced uses a pattern of care and
don't care positions. The occurrence of a spaced word in a sequence
is then defined by the characters at the match positions only, while
the characters at the don't care positions are ignored. Instead of
comparing the frequencies of contiguous words in the input sequences,
this new approach compares the frequencies of the spaced words according
to the pre-defined pattern. An information-theoretic distance measure
is then used to define pairwise distances on the set of input sequences
based on their spaced-word frequencies. Systematic test runs on real and
simulated sequence sets have shown that, for phylogeny reconstruction,
this multiple-spaced-words approach is far superior to the classical
alignment-free approach based on contiguous word frequencies.
Description-md5: f8585dca9b04cc9c5c548e38c5e2f41c