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Source: beast-mcmc
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Section: non-free/science
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Priority: optional
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Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
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DM-Upload-Allowed: yes
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Uploaders: Felix Feyertag <felix.feyertag@googlemail.com>,
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Andreas Tille <tille@debian.org>
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Build-Depends: debhelper (>= 8), javahelper (>=0.25), quilt (>= 0.47),
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ant, ant-optional, openjdk-6-jdk, default-jdk,
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libjebl2-java, libjam-java, figtree,
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r-cran-rjava, libcommons-math-java, libjdom1-java, junit4,
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libitext1-java, texlive-latex-base
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Standards-Version: 3.9.2
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Vcs-Browser: http://svn.debian.org/wsvn/debian-med/trunk/packages/beast-mcmc/trunk/?rev=0&sc=0
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Vcs-Svn: svn://svn.debian.org/svn/debian-med/trunk/packages/beast-mcmc/trunk/
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XS-Autobuild: yes
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Homepage: http://beast.bio.ed.ac.uk/
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Package: beast-mcmc
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Architecture: all
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Depends: ${shlibs:Depends}, ${misc:Depends}, ${java:Depends}, openjdk-6-jre | java-jre,
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beast-mcmc-lib, xterm | x-terminal-emulator
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Suggests: beast-doc
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Description: Bayesian MCMC phylogenetic inference
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BEAST is a cross-platform program for Bayesian MCMC analysis of molecular
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sequences. It is entirely orientated towards rooted, time-measured
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phylogenies inferred using strict or relaxed molecular clock models. It
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can be used as a method of reconstructing phylogenies but is also a
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framework for testing evolutionary hypotheses without conditioning on a
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single tree topology. BEAST uses MCMC to average over tree space, so that
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each tree is weighted proportional to its posterior probability. Included
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is a simple to use user-interface program for setting up standard
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analyses and a suit of programs for analysing the results.
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.
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When publishing results using this software please cite:
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Drummond AJ, Rambaut A (2007) "BEAST: Bayesian evolutionary analysis by
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sampling trees." BMC Evolutionary Biology 7:214
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Package: beast-mcmc-lib
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Architecture: any
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Depends: ${shlibs:Depends}, ${misc:Depends}
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Suggests: beast-doc
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Description: Bayesian MCMC phylogenetic inference
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BEAST is a cross-platform program for Bayesian MCMC analysis of molecular
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sequences. It is entirely orientated towards rooted, time-measured
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phylogenies inferred using strict or relaxed molecular clock models. It
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can be used as a method of reconstructing phylogenies but is also a
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framework for testing evolutionary hypotheses without conditioning on a
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single tree topology. BEAST uses MCMC to average over tree space, so that
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each tree is weighted proportional to its posterior probability. Included
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is a simple to use user-interface program for setting up standard
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analyses and a suit of programs for analysing the results.
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.
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This package contains an architecture dependent library.
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Package: beast-examples
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Architecture: all
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Section: non-free/doc
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Depends: ${shlibs:Depends}, ${misc:Depends}
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Enhances: beast-mcmc
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Description: Bayesian MCMC phylogenetic inference - example data
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BEAST is a cross-platform program for Bayesian MCMC analysis of molecular
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sequences. It is entirely orientated towards rooted, time-measured
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phylogenies inferred using strict or relaxed molecular clock models. It
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can be used as a method of reconstructing phylogenies but is also a
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framework for testing evolutionary hypotheses without conditioning on a
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single tree topology. BEAST uses MCMC to average over tree space, so that
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each tree is weighted proportional to its posterior probability. Included
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is a simple to use user-interface program for setting up standard
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analyses and a suit of programs for analysing the results.
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.
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This package contains the example data.
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Package: beast-doc
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Architecture: all
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Section: non-free/doc
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Depends: ${shlibs:Depends}, ${misc:Depends}
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Enhances: beast-mcmc
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Description: Bayesian MCMC phylogenetic inference - documentation
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BEAST is a cross-platform program for Bayesian MCMC analysis of molecular
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sequences. It is entirely orientated towards rooted, time-measured
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phylogenies inferred using strict or relaxed molecular clock models. It
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can be used as a method of reconstructing phylogenies but is also a
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framework for testing evolutionary hypotheses without conditioning on a
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single tree topology. BEAST uses MCMC to average over tree space, so that
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each tree is weighted proportional to its posterior probability. Included
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is a simple to use user-interface program for setting up standard
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analyses and a suit of programs for analysing the results.
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.
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This package contains the documentation.
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