title: Serial SimCoal: a population genetics model for data from multiple populations and points in time.
abstract: 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.
  
  
  BACKGROUND
  Source code and Windows/Mac executables at http://www.stanford.edu/group/hadlylab/ssc.html
  
  
  BACKGROUND
  senka@stanford.edu.
authors.affiliation: Department of Biological Sciences, Stanford University, Stanford, CA 94305, USA.
authors.forename: Christian N K
authors.initials: CN
authors.lastname: Anderson
authors.forename: Uma
authors.initials: U
authors.lastname: Ramakrishnan
authors.forename: Yvonne L
authors.initials: YL
authors.lastname: Chan
authors.forename: Elizabeth A
authors.initials: EA
authors.lastname: Hadly
mesh_terms: D005075:Biological Evolution; D002874:Chromosome Mapping / Q000379:methods*; D003196:Computer Graphics; D003198:Computer Simulation; D004252:DNA Mutational Analysis / Q000379:methods*; D014644:Genetic Variation / Q000235:genetics; D005828:Genetics, Population; D008957:Models, Genetic; D015233:Models, Statistical; D018401:Sample Size; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software; D014584:User-Computer Interface