How to Install and Uninstall kmc Package on Kali Linux

Last updated: May 20,2024

1. Install "kmc" package

Please follow the steps below to install kmc on Kali Linux


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

In this section, we are going to explain the necessary steps to uninstall kmc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                kmc
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the kmc package on Kali Linux

Package: kmc
Version: 3.2.4+dfsg-1
Installed-Size: 4709
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1), zlib1g (>= 1:1.2.6)
Size: 1015464
SHA256: 08d9b2fbc94a7c248e40260243f812dd2b4a8ee50bbe2ca5a5b0a5968c0f01a4
SHA1: 9f639e10a868ab338d17b89be17a5aef04a2e835
MD5sum: 659e65da4bf356e55c292f64a7faf4a1
Description: count kmers in genomic sequences
The kmc software is designed for counting k-mers (sequences of
consecutive k symbols) in a set of reads. K-mer counting is
important for many bioinformatics applications, e.g. developing de Bruijn
graph assemblers.
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Building de Bruijn graphs is a commonly used approach for genome
assembly with data from second-generation sequencing.
Unfortunately, sequencing errors (frequent in practice)
result in huge memory requirements for de Bruijn graphs, as well
as long build time. One of the popular approaches to handle this
problem is filtering the input reads in such a way that unique k-mers
(very likely obtained as a result of an error) are discarded.
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Thus, KMC scans the raw reads and produces a compact representation
of all non-unique reads accompanied with number of their occurrences.
The algorithm implemented in KMC makes use mostly of disk space rather
than RAM, which allows one to use KMC even on rather typical personal
computers. When run on high-end servers (what is necessary for KMC
competitors) it outperforms them in both memory requirements and
speed of computation. The disk space necessary for computation is in
order of the size of input data (usually it is smaller).
Description-md5:
Homepage: https://sun.aei.polsl.pl/kmc
Built-Using: simde (= 0.7.6-1)
Tag: field::biology, field::biology:bioinformatics, implemented-in::c++,
interface::commandline, interface::shell, role::program,
science::calculation, scope::utility, use::analysing, use::calculating
Section: science
Priority: optional
Filename: pool/main/k/kmc/kmc_3.2.4+dfsg-1_amd64.deb