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Bioinformatics Advance Access originally published online on November 25, 2004
Bioinformatics 2005 21(8):1733-1734; doi:10.1093/bioinformatics/bti154
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© The Author 2004. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

Serial SimCoal: A population genetics model for data from multiple populations and points in time

Christian N. K. Anderson , Uma Ramakrishnan , Yvonne L. Chan and Elizabeth A. Hadly *

Department of Biological Sciences, Stanford University Stanford, CA 94305, USA

*To whom correspondence should be addressed.

Summary: We present Serial SimCoal, a program that models population genetic data from multiple time points, as with ancient DNA data. An extension of SIMCOAL, it also allows simultaneous modeling of complex demographic histories, and migration between multiple populations. Further, we incorporate a statistical package to calculate relevant summary statistics, which, for the first time allows users to investigate the statistical power provided by, conduct hypothesis-testing with, and explore sample size limitations of ancient DNA data.

Availability: Source code and Windows/Mac executables at http://www.stanford.edu/group/hadlylab/ssc.html

contact: senka{at}stanford.edu


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