How to Install and Uninstall libfreecontact-perl Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 04,2024

1. Install "libfreecontact-perl" package

In this section, we are going to explain the necessary steps to install libfreecontact-perl on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install libfreecontact-perl

2. Uninstall "libfreecontact-perl" package

Here is a brief guide to show you how to uninstall libfreecontact-perl on Ubuntu 21.10 (Impish Indri):

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

3. Information about the libfreecontact-perl package on Ubuntu 21.10 (Impish Indri)

Package: libfreecontact-perl
Architecture: amd64
Version: 0.08-8
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: 212
Depends: libc6 (>= 2.14), libfreecontact0v5 (>= 1.0.21), libgcc-s1 (>= 3.0), perl (>= 5.32.0-5), perlapi-5.32.0
Filename: pool/universe/libf/libfreecontact-perl/libfreecontact-perl_0.08-8_amd64.deb
Size: 63608
MD5sum: 7aa66d851df48956e01804579c3a7c7a
SHA1: 90c7cd2099ff1a658ceae8a791d752659b15b474
SHA256: a9af3ebbe4d6b376df0961fd7dbef1d1abe0033b12e30bdee5773e707f0655c8
SHA512: 4f256ba71759bcc9043d18e716416ec3e9351ed21c48b0723e2ed1c13697c860b3c4dee0fe4958c25bd1bcff32f594fa9476f922db34eea4c1d211e9c0f42af3
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