How to Install and Uninstall libfreecontact0v5 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 07,2024

1. Install "libfreecontact0v5" package

Please follow the guidelines below to install libfreecontact0v5 on Ubuntu 21.04 (Hirsute Hippo)

$ sudo apt update $ sudo apt install libfreecontact0v5

2. Uninstall "libfreecontact0v5" package

In this section, we are going to explain the necessary steps to uninstall libfreecontact0v5 on Ubuntu 21.04 (Hirsute Hippo):

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

3. Information about the libfreecontact0v5 package on Ubuntu 21.04 (Hirsute Hippo)

Package: libfreecontact0v5
Architecture: amd64
Version: 1.0.21-8build1
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: 182
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_1.0.21-8build1_amd64.deb
Size: 72360
MD5sum: 908a28058483846ccf093f1382bdc638
SHA1: e90c6d1acf3154e284c6c71c81a02e2c8452a1c7
SHA256: fca3da5ab98a5cb9cecc1e0bca7e3f5a60b2c4815870a2e593d3048333a06448
SHA512: 6c56a64442a684846e6c297d3bce9ced725a7d5c8d049c2b30125b3f78ac106f06322220840c840dfb814ec3ae308ed5d9fc4678203e79477d9267bced9c3d88
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