How to Install and Uninstall libfreecontact0v5 Package on Kali Linux

Last updated: May 02,2024

1. Install "libfreecontact0v5" package

This guide let you learn how to install libfreecontact0v5 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libfreecontact0v5
            
                    
    
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2. Uninstall "libfreecontact0v5" package

Learn how to uninstall libfreecontact0v5 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libfreecontact0v5
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libfreecontact0v5 package on Kali Linux

Package: libfreecontact0v5
Source: freecontact (1.0.21-13)
Version: 1.0.21-13+b2
Installed-Size: 199
Maintainer: Debian Med Packaging Team
Architecture: amd64
Replaces: libfreecontact0
Depends: libblas3 | libblas.so.3, libc6 (>= 2.34), libgcc-s1 (>= 3.0), libgfortran5 (>= 8), libgomp1 (>= 6), liblapack3 | liblapack.so.3, libstdc++6 (>= 13.1)
Conflicts: libfreecontact0
Size: 80012
SHA256: 09ac0fb576f9404be785ea7e01c7a2f468d630f31fa9e06f7e9d8c61794255ef
SHA1: dbc18941cfafa6f82dededbbf8c9d1f826c58069
MD5sum: 0e59f372e077a71ef7a11f8fcf76fff8
Description: fast protein contact predictor library
FreeContact is a protein residue contact predictor optimized for speed.
Its input is a multiple sequence alignment. FreeContact can function as an
accelerated drop-in for the published contact predictors
EVfold-mfDCA of DS. Marks (2011) and
PSICOV of D. Jones (2011).
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FreeContact is accelerated by a combination of vector instructions, multiple
threads, and faster implementation of key parts.
Depending on the alignment, 8-fold or higher speedups are possible.
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A sufficiently large alignment is required for meaningful results.
As a minimum, an alignment with an effective (after-weighting) sequence count
bigger than the length of the query sequence should be used. Alignments with
tens of thousands of (effective) sequences are considered good input.
.
jackhmmer(1) from the hmmer package, or hhblits(1) from hhsuite
can be used to generate the alignments, for example.
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This package contains the shared library implementing freecontact.
Description-md5:
Multi-Arch: same
Homepage: https://rostlab.org/
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/f/freecontact/libfreecontact0v5_1.0.21-13+b2_amd64.deb