Source: beast2-mcmc
Standards-Version: 4.7.4
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders:
 Andreas Tille <tille@debian.org>,
 Olivier Sallou <osallou@debian.org>,
 Pierre Gruet <pgt@debian.org>,
Section: science
Build-Depends:
 debhelper-compat (= 14),
 ant,
 ant-optional,
 antlr4,
 default-jdk,
 javahelper,
 junit5,
 libantlr4-runtime-java,
 libassertj-core-java,
 libcolt-free-java,
 libcommons-math3-java,
 libfest-util-java,
 libhmsbeagle-java,
 libjam-java,
 libopenjfx-java,
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

Package: beast2-mcmc
Architecture: all
Depends:
 default-jre,
 openjfx,
 ${java:Depends},
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
Multi-Arch: foreign
Section: doc
Enhances:
 beast2-mcmc,
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.
