## Abstract

Structurama is a program for inferring population structure. Specifically, the program calculates the posterior probability of assigning individuals to different populations. The program takes as input a file containing the allelic information at some number of loci sampled from a collection of individuals. After reading a data file into computer memory, Structurama uses a ibbs algorithm to sample assignments of individuals to populations. The program implements four different models: The number of populations can be considered fixed or a random variable with a Dirichlet process prior; moreover, the genotypes of the individuals in the analysis can be considered to come from a single population (no admixture) or as coming from several different populations (admixture). The output is a file of partitions of individuals to populations that were sampled by the Markov chain Monte Carlo algorithm. The partitions are sampled in proportion to their posterior probabilities. The program implements a number of ways to summarize the ampled partitions, including calculation of the 'mean' partition-a partition of the individuals to populations that minimizes the squared distance to the sampled partitions.

Original language | English (US) |
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Pages (from-to) | 55-59 |

Number of pages | 5 |

Journal | Evolutionary Bioinformatics |

Volume | 2011 |

Issue number | 7 |

DOIs | |

State | Published - 2011 |

## All Science Journal Classification (ASJC) codes

- Genetics
- Ecology, Evolution, Behavior and Systematics
- Computer Science Applications

## Keywords

- Bayesian estimaion
- Dirichlet process prior
- Markov chain monte carlo
- Population structure
- References