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

Last updated: January 11,2025

1. Install "spaced" package

Please follow the step by step instructions below to install spaced on Ubuntu 20.10 (Groovy Gorilla)


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

Here is a brief guide to show you how to uninstall spaced on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: spaced
Architecture: amd64
Version: 1.2.0-201605+dfsg-1build1
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: 161
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-1build1_amd64.deb
Size: 56568
MD5sum: b7119acb67a448fa1ffe6d8305ec0865
SHA1: 7ce99ff64829602bddde8ef6ba6d4c5d1f72884e
SHA256: dee8766ad4748d9e71fdfac6d034a14a18bed88e4faa9900cd390ffbd16ae6b4
SHA512: 8b8c33244d980576ff183a11d9727028a45af945b36575b054bb7fc2cd45735b234ef1dfbff3a308061c28e8eb4be3891fe8ffd2cb6083a925fa3bd659b0b1ed
Homepage: http://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