How to Install and Uninstall libfreecontact0v5 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: December 24,2024

1. Install "libfreecontact0v5" package

Learn how to install libfreecontact0v5 on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install libfreecontact0v5

2. Uninstall "libfreecontact0v5" package

Please follow the steps below to uninstall libfreecontact0v5 on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove libfreecontact0v5 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libfreecontact0v5 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libfreecontact0v5
Architecture: amd64
Version: 1.0.21-8
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: freecontact
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 198
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgfortran5 (>= 8), libgomp1 (>= 6), liblapack3 | liblapack.so.3, libstdc++6 (>= 5.2)
Conflicts: libfreecontact0
Replaces: libfreecontact0
Filename: pool/universe/f/freecontact/libfreecontact0v5_1.0.21-8_amd64.deb
Size: 75624
MD5sum: 17edeb962219077d407c90c820462748
SHA1: d2d16679125168e671941680390adc908ff89e0d
SHA256: 8a0821080a389ba44f256d27846cc79fa1721e174d3a5b1479a8a83220a9e47a
SHA512: b9995ab39cf64284c4c8bc1abece611110dec6ff970b47622dab54f45c8371047856c828bfd7e2832f2646b4c1baba668ac6256596a8e118ea80a95bafc36b0b
Homepage: http://rostlab.org/
Description-en: fast protein contact predictor library
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 shared library implementing freecontact.
Description-md5: 721f2a8d8be3d901ffe188295e29cf54