Designed to obtain an efficient sampling of parameter-rich and complex models. HOGAN is a parallel Metropolis-Hastings (M-H) framework built with a combination of enhancements aimed towards parameter-rich and complex models. This framework achieves up to a twentyfold faster convergence to estimate the posterior probability of phylogenetic trees using 32 processors when compared to the well-known software MrBayes for Bayesian inference of phylogenetic trees.

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HOGAN classification

HOGAN specifications

Software type:
Package
Restrictions to use:
None
Programming languages:
C++
Computer skills:
Advanced
Requirements:
MPI, boost, EIGEN
Source code URL:
https://bitbucket.org/XavMeyer/hogan/src
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Stability:
Stable

Publications

Credits

Institution(s)

Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Quartier Sorge, Lausanne, Switzerland; Department of Computer Science, University of Geneva, Geneva, Switzerland

Funding source(s)

This work was supported by a Swiss National Science Foundation grant CR32I3_143768.

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