How to Install and Uninstall muscle Package on Kali Linux

Last updated: May 16,2024

1. Install "muscle" package

This guide let you learn how to install muscle on Kali Linux

$ sudo apt update $ sudo apt install muscle

2. Uninstall "muscle" package

Learn how to uninstall muscle on Kali Linux:

$ sudo apt remove muscle $ sudo apt autoclean && sudo apt autoremove

3. Information about the muscle package on Kali Linux

Package: muscle
Version: 1:5.1.0-1
Installed-Size: 843
Maintainer: Debian Med Packaging Team
Architecture: amd64
Replaces: muscle-doc
Provides: muscle-doc
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 11)
Enhances: seaview, t-coffee
Conflicts: muscle-doc
Size: 297416
SHA256: c5e430df742b60889bacf3b10fc3532f5cac4fa0f1e4fbfd2485a3696f88a806
SHA1: 930566c435b6a2b7f83f5f8d12554318370faf70
MD5sum: bc46ee080b9f715bb15448e76a615a9a
Description: Multiple alignment program of protein sequences
MUSCLE is a multiple alignment program for protein sequences. MUSCLE
stands for multiple sequence comparison by log-expectation. In the
authors tests, MUSCLE achieved the highest scores of all tested
programs on several alignment accuracy benchmarks, and is also one of
the fastest programs out there.
.
Muscle v5 is a major re-write of MUSCLE based on new algorithms.
.
Users should be aware that command line arguments compared to version
3.x of MUSCLE have changed!
.
Highest accuracy, scalable to thousands of sequences
.
Compared to previous versions, Muscle v5 is much more accurate, is often
faster, and scales to much larger datasets. At the time of writing (late
2021), Muscle v5 has the highest scores on multiple alignment benchmarks
including Balibase, Bralibase, Prefab and Balifam. It can align tens of
thousands of sequences with high accuracy on a low-cost commodity computer
(say, an 8-core Intel CPU with 32 Gb RAM). On large datasets, Muscle v5
is 20-30% more accurate than MAFFT and Clustal-Omega.
.
Alignment ensembles
.
Muscle v5 can generate ensembles of high-accuracy alternative alignments.
All replicates have equal average accuracy on benchmark test, including
the MSA made with default parameters. By comparing results of downstream
analysis (trees, structure prediction...) on different replicates, you can
assess the effects of alignment errors on your study.
Description-md5:
Homepage: https://www.drive5.com/muscle/
Tag: biology::format:aln, biology::peptidic, field::biology,
field::biology:bioinformatics, implemented-in::c++,
interface::commandline, role::program, scope::utility, use::comparing,
works-with-format::plaintext, works-with::TODO
Section: science
Priority: optional
Filename: pool/main/m/muscle/muscle_5.1.0-1_amd64.deb