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

Last updated: September 19,2024

1. Install "freecontact" package

Please follow the guidelines below to install freecontact on Ubuntu 16.04 LTS (Xenial Xerus)


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

This guide covers the steps necessary to uninstall freecontact on Ubuntu 16.04 LTS (Xenial Xerus):


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

Package: freecontact
Priority: extra
Section: universe/science
Installed-Size: 1530
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Version: 1.0.21-4
Depends: libboost-program-options1.58.0, libc6 (>= 2.14), libfreecontact0v5, libgcc1 (>= 1:4.1.1), libstdc++6 (>= 5.2), libxerces-c3.1, perl
Suggests: bash-completion, hhsuite, hmmer
Filename: pool/universe/f/freecontact/freecontact_1.0.21-4_amd64.deb
Size: 320866
MD5sum: f705c83eb64db1be59e5a1c19679f738
SHA1: dac236fbdaf246f4fc75cbcb0e395958102eb662
SHA256: b70c41ff1cbaa550088a812d50095515f368a77a3a28952af1b4c7957819667a
Description-en: fast protein contact predictor
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.
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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 command line tool freecontact(1).
Description-md5: 8af4abbafedd65eddf0739bd00e97557
Homepage: http://rostlab.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu