How to Install and Uninstall unifrac-tools Package on Kali Linux

Last updated: December 24,2024

1. Install "unifrac-tools" package

Here is a brief guide to show you how to install unifrac-tools on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                unifrac-tools
            
                    
    
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2. Uninstall "unifrac-tools" package

Please follow the steps below to uninstall unifrac-tools on Kali Linux:


    
        
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                sudo apt remove
            
                        
                unifrac-tools
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the unifrac-tools package on Kali Linux

Package: unifrac-tools
Source: unifrac-tools (1.4-3)
Version: 1.4-3+b1
Installed-Size: 7938
Maintainer: Debian Med Packaging Team
Architecture: amd64
Replaces: libssu-tools
Provides: libssu-tools
Depends: libblas3 | libblas.so.3, libc6 (>= 2.34), libgcc-s1 (>= 3.0), libgomp1 (>= 6), liblapacke (>= 3.12.0), liblz4-1 (>= 0.0~r130), libstdc++6 (>= 13.1), libsz2 (>= 1.1.2), zlib1g (>= 1:1.1.4), libssu0
Conflicts: libssu-tools
Size: 1673028
SHA256: 5d2607dcd660d508c2fc62383ea40063201d1d76fe93f0f0af28aa1892adc508
SHA1: 53650ba6a310ecd68cc71b174c00d3dbddb5dad4
MD5sum: 749109f63779d7e624e86fc40b5e557a
Description: high-performance phylogenetic diversity calculations (binaries)
The de facto repository for high-performance phylogenetic diversity
calculations. The methods in this repository are based on an
implementation of the Strided State UniFrac algorithm which is faster,
and uses less memory than Fast UniFrac. Strided State UniFrac supports
Unweighted UniFrac, Weighted UniFrac, Generalized UniFrac, Variance
Adjusted UniFrac and meta UniFrac. This repository also includes Stacked
Faith (manuscript in preparation), a method for calculating Faith's PD
that is faster and uses less memory than the Fast UniFrac-based
reference implementation.
.
This package contains target binaries ssu and faithpd
Description-md5:
Homepage: https://github.com/biocore/unifrac-binaries
Section: science
Priority: optional
Filename: pool/main/u/unifrac-tools/unifrac-tools_1.4-3+b1_amd64.deb