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

Last updated: May 02,2024

1. Install "libfreecontact-dev" package

Please follow the step by step instructions below to install libfreecontact-dev on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install libfreecontact-dev

2. Uninstall "libfreecontact-dev" package

This is a short guide on how to uninstall libfreecontact-dev on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: libfreecontact-dev
Architecture: amd64
Version: 1.0.21-8
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: 399
Provides: libfreecontact-dev
Depends: libfreecontact0v5 (= 1.0.21-8)
Suggests: libfreecontact-doc
Conflicts: libfreecontact-dev
Filename: pool/universe/f/freecontact/libfreecontact-dev_1.0.21-8_amd64.deb
Size: 84024
MD5sum: 09a2ccfd381a07a1b261049155441b35
SHA1: 27bbba6b543faa3a77132ffa64043048ff9cd489
SHA256: 0fe0f0e5ad6dcfba7c416d56bf5e2e8dfd75b775ed62c715e2d202263bad9aef
SHA512: 19bfe178239ffe549e35e6c1773b7d6507c653969b398dcbaabbe33d664fe58afaf8e6dc8ede131daa5d0f1864e7c77fb384535d0e7c708bc154255a92daf927
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