Volume 2, Issue 3

metasim 1.0: an individual‐based environment for simulating population genetics of complex population dynamics

Allan E. Strand

Corresponding Author

Department of Biology, College of Charleston, Charleston, SC 29424, USA

Allan E. Strand. E‐mail: stranda@cofc.eduSearch for more papers by this author
First published: 22 August 2002
Citations: 32

Abstract

metasim provides a flexible environment in which to perform individual‐based population genetic simulations. A wide range of landscape‐level dynamics, population structures, and within‐population demographies can be represented using the framework implemented in this software. In addition, temporal variation in all demographic characteristics can be simulated, both deterministically and stochastically. Such simulations can be used to produce null distributions of genotypes under realistic conditions. These genotypic data can then be used by a variety of analytical programs to develop null expectations of any population genetic statistic estimated from genotypic data.

Number of times cited according to CrossRef: 32

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