How to Install and Uninstall libfreecontact-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 03,2024

1. Install "libfreecontact-dev" package

Please follow the guidelines below to install libfreecontact-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libfreecontact-dev
            
                    
    
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2. Uninstall "libfreecontact-dev" package

This tutorial shows how to uninstall libfreecontact-dev on Ubuntu 16.04 LTS (Xenial Xerus):


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

Package: libfreecontact-dev
Priority: optional
Section: universe/libdevel
Installed-Size: 381
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Source: freecontact
Version: 1.0.21-4
Provides: libfreecontact-dev
Depends: libfreecontact0v5 (= 1.0.21-4)
Suggests: libfreecontact-doc
Conflicts: libfreecontact-dev
Filename: pool/universe/f/freecontact/libfreecontact-dev_1.0.21-4_amd64.deb
Size: 79532
MD5sum: f3132d3fdfda0e6349b8f5e5a6ad8916
SHA1: 36137ba2ee736dcaf3d5d6b8cbceb9b5cc89e256
SHA256: 8874b17e14fb4e6446d5cd7270ccb0a8d666032511e08b9e65e9282b850d1fc1
Description-en: fast protein contact predictor library - development files
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.
.
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 files necessary for developing applications with
libfreecontact.
Description-md5: a38aac9af5c6b0a3e4c186780c9d30fe
Homepage: http://rostlab.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu