Source: beast-mcmc Maintainer: Debian Med Packaging Team Uploaders: Andreas Tille , Olivier Sallou Section: science Priority: optional Build-Depends: debhelper (>= 11~), javahelper, ant, ant-optional, default-jdk, libjebl2-java, libjam-java (>= 0.1.20140824), figtree, liboptions-java, libhmsbeagle-java (>= 3.1.2~), libcolt-free-java, libmpj-java, r-cran-rjava, libcommons-math-java, libjdom1-java, junit4, libmtj-java, libitext1-java, libejml-java, libjlapack-java Standards-Version: 4.2.1 Vcs-Browser: https://salsa.debian.org/med-team/beast-mcmc Vcs-Git: https://salsa.debian.org/med-team/beast-mcmc.git Homepage: http://beast.bio.ed.ac.uk/ Package: beast-mcmc Architecture: all Depends: ${shlibs:Depends}, ${misc:Depends}, libhmsbeagle-java (>= 3.1.2~), ${java:Depends}, default-jre | java6-runtime, libnucleotidelikelihoodcore0 (>= ${source:Version}), libnucleotidelikelihoodcore0 (<< ${source:Version}.1~), libnetlib-java 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. Package: libnucleotidelikelihoodcore0 Architecture: any Section: libs Depends: ${shlibs:Depends}, ${misc:Depends} Conflicts: beast-mcmc-lib Provides: beast-mcmc-lib Replaces: beast-mcmc-lib Description: implementation of LikelihoodCore for nucleotides used by beast-mcmc 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 provides an implementation of LikelihoodCore for nucleotides that calls native methods for maximum speed. Package: beast-mcmc-examples Architecture: all Section: doc Depends: ${shlibs:Depends}, ${misc:Depends} Enhances: beast-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.