How to Install and Uninstall mrbayes-doc Package on Kali Linux
Last updated: December 23,2024
1. Install "mrbayes-doc" package
Here is a brief guide to show you how to install mrbayes-doc on Kali Linux
$
sudo apt update
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$
sudo apt install
mrbayes-doc
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2. Uninstall "mrbayes-doc" package
This guide covers the steps necessary to uninstall mrbayes-doc on Kali Linux:
$
sudo apt remove
mrbayes-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the mrbayes-doc package on Kali Linux
Package: mrbayes-doc
Source: mrbayes
Version: 3.2.7a-7
Installed-Size: 1372
Maintainer: Debian Med Packaging Team
Architecture: all
Enhances: mrbayes
Size: 1329088
SHA256: d517b4918e8e90f7d3d104fc315af1fd0da30aa7b8d47f04c8be55db0df1ac4b
SHA1: 40070e1dee394b744ab432d75df7504da4ef3c58
MD5sum: 40ef7277af5465fba89ea91467cd0a4a
Description: Bayesian Inference of Phylogeny - manual
Bayesian inference of phylogeny is based upon a quantity called the posterior
probability distribution of trees, which is the probability of a tree
conditioned on the observations. The conditioning is accomplished using
Bayes's theorem. The posterior probability distribution of trees is
impossible to calculate analytically; instead, MrBayes uses a simulation
technique called Markov chain Monte Carlo (or MCMC) to approximate the
posterior probabilities of trees.
.
This package provides the manual for MrBayes.
Description-md5:
Multi-Arch: foreign
Homepage: http://mrbayes.csit.fsu.edu/
Section: doc
Priority: optional
Filename: pool/main/m/mrbayes/mrbayes-doc_3.2.7a-7_all.deb
Source: mrbayes
Version: 3.2.7a-7
Installed-Size: 1372
Maintainer: Debian Med Packaging Team
Architecture: all
Enhances: mrbayes
Size: 1329088
SHA256: d517b4918e8e90f7d3d104fc315af1fd0da30aa7b8d47f04c8be55db0df1ac4b
SHA1: 40070e1dee394b744ab432d75df7504da4ef3c58
MD5sum: 40ef7277af5465fba89ea91467cd0a4a
Description: Bayesian Inference of Phylogeny - manual
Bayesian inference of phylogeny is based upon a quantity called the posterior
probability distribution of trees, which is the probability of a tree
conditioned on the observations. The conditioning is accomplished using
Bayes's theorem. The posterior probability distribution of trees is
impossible to calculate analytically; instead, MrBayes uses a simulation
technique called Markov chain Monte Carlo (or MCMC) to approximate the
posterior probabilities of trees.
.
This package provides the manual for MrBayes.
Description-md5:
Multi-Arch: foreign
Homepage: http://mrbayes.csit.fsu.edu/
Section: doc
Priority: optional
Filename: pool/main/m/mrbayes/mrbayes-doc_3.2.7a-7_all.deb