Main logo
?
tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

HOGAN

Online

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.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.

HOGAN forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

HOGAN classification

HOGAN specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
C++
Computer skills:
Advanced
Requirements:
MPI, boost, EIGEN
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Stability:
Stable
Maintained:
Yes

HOGAN distribution

versioning

tutorial arrow
×
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

download

HOGAN support

Maintainer

  • Nicolas Salamin <>

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship

Publications

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.

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.