How to Install and Uninstall spaced Package on Kali Linux

Last updated: November 22,2024

1. Install "spaced" package

This guide let you learn how to install spaced on Kali Linux


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

Please follow the guidance below to uninstall spaced on Kali Linux:


    
        
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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 Kali Linux

Package: spaced
Version: 1.2.0-201605+dfsg-4
Installed-Size: 168
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libgomp1 (>= 9), libstdc++6 (>= 13.1)
Size: 60776
SHA256: ad033f9901fc9e3411a528c3efb3bc7cf9b655f6504284e386ec89a38d7a582d
SHA1: 34784da9b7e7a89bc08c61b6e96a58ca47b951e1
MD5sum: 0e83ea24b88921a106d15d8c6a317fa9
Description: 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:
Homepage: https://spaced.gobics.de/
Section: science
Priority: optional
Filename: pool/main/s/spaced/spaced_1.2.0-201605+dfsg-4_amd64.deb