How to Install and Uninstall libfreecontact0v5 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 07,2024

1. Install "libfreecontact0v5" package

In this section, we are going to explain the necessary steps to install libfreecontact0v5 on Ubuntu 16.04 LTS (Xenial Xerus)


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

Please follow the step by step instructions below to uninstall libfreecontact0v5 on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libfreecontact0v5
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libfreecontact0v5 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libfreecontact0v5
Priority: optional
Section: universe/libs
Installed-Size: 182
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Source: freecontact
Version: 1.0.21-4
Replaces: libfreecontact0
Depends: libblas3 | libblas.so.3, libc6 (>= 2.15), libgcc1 (>= 1:4.1.1), libgfortran3 (>= 4.6), libgomp1 (>= 4.9), liblapack3 | liblapack.so.3, libstdc++6 (>= 5.2)
Conflicts: libfreecontact0
Filename: pool/universe/f/freecontact/libfreecontact0v5_1.0.21-4_amd64.deb
Size: 71140
MD5sum: 4640434234c3b2d8fc2782322b6d7d1a
SHA1: c8249e410b9ddee0771862130e2c138e940d47ad
SHA256: 91d87b6a9fb072d7473f2e1678ea6746386c0b92da3d19d64b95c8451cc161a9
Description-en: 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).
.
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.
.
This package contains the shared library implementing freecontact.
Description-md5: 721f2a8d8be3d901ffe188295e29cf54
Multi-Arch: same
Homepage: http://rostlab.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu