jMODELTEST 2.1.10 – Phylogenetic Model Averaging

jMODELTEST 2.1.10

:: DESCRIPTION

jModelTest is a tool to carry out statistical selection of best-fit models of nucleotide substitution. It implements five different model selection strategies: hierarchical and dynamical likelihood ratio tests (hLRT and dLRT), Akaike and Bayesian information criteria (AIC and BIC), and a decision theory method (DT). It also provides estimates of model selection uncertainty, parameter importances and model-averaged parameter estimates, including model-averaged phylogenies. Please note that the DT weights are very gross.

jModelTest2 includes High Performance Computing (HPC) capabilities and additional features like new strategies for tree optimization, model-averaged phylogenetic trees (both topology and branch length), heuristic filtering and automatic logging of user activity.

::DEVELOPER

Posada Lab

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux / MacOS
  • Java

:: DOWNLOAD

jMODELTEST

:: MORE INFORMATION

Citation

Posada D. 2008.
jModelTest: Phylogenetic Model Averaging.
Molecular Biology and Evolution 25: 1253-1256.

Darriba D, Taboada GL, Doallo R, Posada D. 2012.
jModelTest 2: more models, new heuristics and parallel computing.
Nature Methods 9(8), 772.

MACML 1.1.2 – Model Averaging Clustering by Maximum Likelihood

MACML 1.1.2

:: DESCRIPTION

MACML is a program that clusters sequences into heterogeneous regions with specific site types, without requiring any prior knowledge.

::DEVELOPER

the Townsend Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX
  • C++Compiler

:: DOWNLOAD

 MACML

:: MORE INFORMATION

Citation

PLoS Comput Biol. 2009 Jun;5(6):e1000421. Epub 2009 Jun 26.
Maximum-likelihood model averaging to profile clustering of site types across discrete linear sequences.
Zhang Z, Townsend JP.