How to Install and Uninstall beast-mcmc Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 07,2024

1. Install "beast-mcmc" package

This guide covers the steps necessary to install beast-mcmc on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install beast-mcmc

2. Uninstall "beast-mcmc" package

Please follow the steps below to uninstall beast-mcmc on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove beast-mcmc $ sudo apt autoclean && sudo apt autoremove

3. Information about the beast-mcmc package on Ubuntu 20.10 (Groovy Gorilla)

Package: beast-mcmc
Architecture: all
Version: 1.10.4+dfsg-2
Priority: optional
Section: multiverse/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 10810
Depends: libhmsbeagle-java (>= 3.1.2~), junit4, libcolt-free-java, libcommons-math-java, libitext1-java, libjam-java, libjdom1-java, libjebl2-java, libmpj-java, libmtj-java, default-jre | java6-runtime, libnucleotidelikelihoodcore0 (>= 1.10.4+dfsg-2), libnucleotidelikelihoodcore0 (<< 1.10.4+dfsg-2.1~), libnetlib-java
Filename: pool/multiverse/b/beast-mcmc/beast-mcmc_1.10.4+dfsg-2_all.deb
Size: 5697388
MD5sum: b3b5d759dd496c6c9d25b96fb7fd9177
SHA1: 88f5b401ca467b48b38c5cda2b5a8a74523db573
SHA256: 5be116e3a0705812c1dd57dad9f87846359afe99a21c42aca7fb9532a1fd1f04
SHA512: b87743ca3361d3b95682af58bccfbcc35a6fa0ffaa0ef529bb5f39f130e5563b8b951270bfdc16a12c35225e1d372ba5f645df984fd551d5f714924473b9ab9c
Homepage: http://beast.bio.ed.ac.uk/
Description-en: Bayesian MCMC phylogenetic inference
BEAST is a cross-platform program for Bayesian MCMC analysis of molecular
sequences. It is entirely orientated towards rooted, time-measured
phylogenies inferred using strict or relaxed molecular clock models. It
can be used as a method of reconstructing phylogenies but is also a
framework for testing evolutionary hypotheses without conditioning on a
single tree topology. BEAST uses MCMC to average over tree space, so that
each tree is weighted proportional to its posterior probability. Included
is a simple to use user-interface program for setting up standard
analyses and a suit of programs for analysing the results.
Description-md5: 347f87629165216c55313b0035e8c195