Structurama – Infer Population Structure from Genetic Data

Structurama 

:: DESCRIPTION

Structurama is a program for inferring population structure from genetic data. The program assumes that the sampled loci are in linkage equilibrium and that the allele frequencies for each population are drawn from a Dirichlet probability distribution. The method implements two different models for population structure. First, Structurama implements the method of Pritchard et al. (2000) in which the number of populations is considered fixed. The program also allows the number of populations to be a random variable following a Dirichlet process prior (Pella and Masuda, 2006; Huelsenbeck and Andolfatto, 2007).

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::DEVELOPER

Structurama Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Mac OsX / Linux

:: DOWNLOAD

 Structurama

:: MORE INFORMATION

Citation:

John P. Huelsenbeck, Peter Andolfatto, and Edna T. Huelsenbeck
Structurama: Bayesian inference of population structure
Evol Bioinform Online. 2011; 7: 55–59.

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