Source: mrbayes Maintainer: Debian Med Packaging Team Uploaders: Steffen Moeller , Andreas Tille Section: science Priority: optional Build-Depends: debhelper-compat (= 13), libreadline-dev, mpi-default-dev, libhmsbeagle-dev, autoconf-archive, pkg-config Standards-Version: 4.5.0 Vcs-Browser: https://salsa.debian.org/med-team/mrbayes Vcs-Git: https://salsa.debian.org/med-team/mrbayes.git Homepage: http://mrbayes.csit.fsu.edu/ Rules-Requires-Root: no Package: mrbayes Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends} Suggests: mrbayes-doc Description: Bayesian Inference of Phylogeny 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. Package: mrbayes-mpi Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends}, mpi-default-bin, ssh Suggests: mpi-default, mrbayes-doc Description: Bayesian Inference of Phylogeny - mpi version 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 offers a binary compiled for parallel computation with MPI. Package: mrbayes-doc Architecture: all Section: doc Depends: ${misc:Depends} Enhances: mrbayes 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.