Multilocus has been written to facilitate analysis of multi-locus population genetic data. In particular, it allows calculation of various genotypic diversity indices, various linkage disequilibrium indices, and a measure of population differentiation, and allows one to search for subpopulations which do not share polymorphisms (and thus might be reproductively isolated). It includes a modification of the IA (Index of Association) metric that corrects the scaling effect seen when one applies the metric to different numbers of loci. In addition, there are randomization routines which allow one to test various null hypotheses.
Paul-Michael Agapow and Austin Burt (firstname.lastname@example.org), Dept. Biology, University College London
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