Bayesian cluster analysis using STRUCTURE

Copyright information:

Taken from "Genetic population structure of in Equatorial Guinea"

malariajournal.com

Malaria Journal 2007;6():137-137.

Published online 15 Oct 2007

PMCID:PMC2100067.

A: estimates of ΔK, based on the second order rate of change of the likelihood function with respect to , to determine the most likely number of clusters () in the data set. In this case = 3. B: graphical representation of the data set for the most likely = 3, where each colour corresponds to a suggested cluster and each individual is represented by a vertical bar. The numbers in the X-axis correspond to a specific sample: 1- Annobón, 2- Bata, 3- Malabo, 4- Ngonamanga, 5- Sácriba and 6- Libreville. The Y-axis represents the probability of assignment of an individual to each cluster.