How to Install and Uninstall libfreecontact-dev Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 03,2024

1. Install "libfreecontact-dev" package

Please follow the step by step instructions below to install libfreecontact-dev on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install libfreecontact-dev

2. Uninstall "libfreecontact-dev" package

Please follow the guidelines below to uninstall libfreecontact-dev on Ubuntu 21.04 (Hirsute Hippo):

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

3. Information about the libfreecontact-dev package on Ubuntu 21.04 (Hirsute Hippo)

Package: libfreecontact-dev
Architecture: amd64
Version: 1.0.21-8build1
Priority: optional
Section: universe/libdevel
Source: freecontact
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 339
Provides: libfreecontact-dev
Depends: libfreecontact0v5 (= 1.0.21-8build1)
Suggests: libfreecontact-doc
Conflicts: libfreecontact-dev
Filename: pool/universe/f/freecontact/libfreecontact-dev_1.0.21-8build1_amd64.deb
Size: 80068
MD5sum: c9f1e5c7499d9043af8ceca954a19655
SHA1: 58b1bb4cf692ea2bf7948bcfd9a8f7ca8407c324
SHA256: f549e8fa5afe8611ed6edb03ede900b81590074a1badd41bf08cffe849c34023
SHA512: 06c8ea9e960248ef645377768cbe6d9af0d808e44e85001c83fdda6fa56abe422046532aa5ea68e7d020e82d45aa88006ee42901705fc8b100b400440496e75e
Homepage: http://rostlab.org/
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