How to Install and Uninstall freecontact Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 07,2024

1. Install "freecontact" package

Please follow the steps below to install freecontact on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install freecontact

2. Uninstall "freecontact" package

This guide covers the steps necessary to uninstall freecontact on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove freecontact $ sudo apt autoclean && sudo apt autoremove

3. Information about the freecontact package on Ubuntu 20.10 (Groovy Gorilla)

Package: freecontact
Architecture: amd64
Version: 1.0.21-8
Priority: extra
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1778
Depends: libboost-program-options1.71.0, libc6 (>= 2.14), libfreecontact0v5 (>= 1.0.21), libgcc-s1 (>= 3.0), libstdc++6 (>= 9), libxerces-c3.2, perl:any
Suggests: bash-completion, hhsuite, hmmer
Filename: pool/universe/f/freecontact/freecontact_1.0.21-8_amd64.deb
Size: 356676
MD5sum: 1a29fa20cfd9a8229ea26b5958895de7
SHA1: 05a7ef5e45e4aa1268dde0ba78d49f10b2748f31
SHA256: 4a6aaf7358344281bb8e9f6eda7a1a11de5543ece519c3356f9a73571ab0dcf3
SHA512: 37cd3e57ea1dd3cf8e3fa95fdcf9b22fbf252144bb76824cf785f411f9ce7643ea47f5aba88b205473779ed9686287dfd861e11f36ab71345103f3952e39d1da
Homepage: http://rostlab.org/
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).
.
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 command line tool freecontact(1).
Description-md5: 8af4abbafedd65eddf0739bd00e97557