Source: beast2-mcmc Maintainer: Debian Med Packaging Team Uploaders: Andreas Tille , Olivier Sallou , Pierre Gruet Section: science Priority: optional Build-Depends: debhelper-compat (= 13), javahelper, ant, ant-optional, antlr4, default-jdk, libjam-java, libhmsbeagle-java, libcolt-free-java, libcommons-math3-java, libfest-util-java, libantlr4-runtime-java, libassertj-core-java, libopenjfx-java, junit5 Standards-Version: 4.6.2 Vcs-Browser: https://salsa.debian.org/med-team/beast2-mcmc Vcs-Git: https://salsa.debian.org/med-team/beast2-mcmc.git Homepage: https://www.beast2.org Rules-Requires-Root: no Package: beast2-mcmc Architecture: all Depends: ${misc:Depends}, ${java:Depends}, default-jre, openjfx Description: 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. . This is no new upstream version of beast-mcmc (1.x) but rather a rewritten version. Package: beast2-mcmc-examples Architecture: all Section: doc Depends: ${shlibs:Depends}, ${misc:Depends} Enhances: beast2-mcmc Multi-Arch: foreign Description: Bayesian MCMC phylogenetic inference - example data 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. . This package contains the example data.