Serial SimCoal: A population genetics model for data from multiple populations and points in time
Open Access
- 25 November 2004
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 21 (8) , 1733-1734
- https://doi.org/10.1093/bioinformatics/bti154
Abstract
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@stanford.eduKeywords
This publication has 7 references indexed in Scilit:
- Genetic Response to Climatic Change: Insights from Ancient DNA and PhylochronologyPLoS Biology, 2004
- Approximate Bayesian Computation in Population GeneticsGenetics, 2002
- Estimating Mutation Parameters, Population History and Genealogy Simultaneously From Temporally Spaced Sequence DataGenetics, 2002
- Rates of Evolution in Ancient DNA from Adélie PenguinsScience, 2002
- Ancient DNANature Reviews Genetics, 2001
- Computer note. SIMCOAL: a general coalescent program for the simulation of molecular data in interconnected populations with arbitrary demographyJournal of Heredity, 2000
- The coalescentStochastic Processes and their Applications, 1982