beast2-mcmc 2.6.7+dfsg-1 source package in Ubuntu
Changelog
beast2-mcmc (2.6.7+dfsg-1) unstable; urgency=medium * New upstream version 2.6.7+dfsg * Reworking debian/copyright -- Pierre Gruet <email address hidden> Fri, 22 Apr 2022 15:59:01 +0200
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
beast2-mcmc_2.6.7+dfsg-1.dsc | 2.4 KiB | 37e129a8dc5946541e550937dfeb09ea2de97370cdb6c0962f67f3db7a3965af |
beast2-mcmc_2.6.7+dfsg.orig.tar.xz | 21.3 MiB | 446d8def8bbc45a1bbf4fc9ee90a5bb208b93d1077a95d146b97d78930ec2060 |
beast2-mcmc_2.6.7+dfsg-1.debian.tar.xz | 18.1 KiB | dccf8147447914b6d706d2c255ccc413bf0613b1eb9756cd8a1b7d92c49254dd |
Available diffs
- diff from 2.6.6+dfsg-2 to 2.6.7+dfsg-1 (82.9 KiB)
No changes file available.
Binary packages built by this source
- beast2-mcmc: 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.
- beast2-mcmc-doc: No summary available for beast2-mcmc-doc in ubuntu kinetic.
No description available for beast2-mcmc-doc in ubuntu kinetic.
- beast2-mcmc-examples: 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.