How to Install and Uninstall libfreecontact-perl Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 07,2024

1. Install "libfreecontact-perl" package

Learn how to install libfreecontact-perl on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install libfreecontact-perl

2. Uninstall "libfreecontact-perl" package

Please follow the instructions below to uninstall libfreecontact-perl on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove libfreecontact-perl $ sudo apt autoclean && sudo apt autoremove

3. Information about the libfreecontact-perl package on Ubuntu 20.10 (Groovy Gorilla)

Package: libfreecontact-perl
Architecture: amd64
Version: 0.08-7build2
Priority: extra
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 138
Depends: libc6 (>= 2.14), libfreecontact0v5, libgcc-s1 (>= 3.0), perl (>= 5.30.0-9build1), perlapi-5.30.0
Filename: pool/universe/libf/libfreecontact-perl/libfreecontact-perl_0.08-7build2_amd64.deb
Size: 73532
MD5sum: a916230657331dcf75e74556521711f6
SHA1: affaeef2f7de20b9e62231cc607e604bef969cdf
SHA256: 98e141c48df837d34520ff1514e7f8e1f817c51e6ac4de002f2ac9c58d6fade5
SHA512: 8916af884ad4d8e61e5e98914af5baa45de5cef38e746adcfb16f4f7ee62c4eb579049dfc39c6e083643c661405a9599238295411313fb39c2b8cf3b78dfd407
Homepage: https://rostlab.org/owiki/index.php/FreeContact
Description-en: fast protein contact predictor - binding for Perl
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 the Perl binding.
Description-md5: 76746f39e71bf0567588b3a19cf36071