title: Hybrid-Lambda: simulation of multiple merger and Kingman gene genealogies in species networks and species trees.
abstract: BACKGROUND
  There has been increasing interest in coalescent models which admit multiple mergers of ancestral lineages; and to model hybridization and coalescence simultaneously.
  
  
  RESULTS
  Hybrid-Lambda is a software package that simulates gene genealogies under multiple merger and Kingman's coalescent processes within species networks or species trees. Hybrid-Lambda allows different coalescent processes to be specified for different populations, and allows for time to be converted between generations and coalescent units, by specifying a population size for each population. In addition, Hybrid-Lambda can generate simulated datasets, assuming the infinitely many sites mutation model, and compute the F ST statistic. As an illustration, we apply Hybrid-Lambda to infer the time of subdivision of certain marine invertebrates under different coalescent processes.
  
  
  CONCLUSIONS
  Hybrid-Lambda makes it possible to investigate biogeographic concordance among high fecundity species exhibiting skewed offspring distribution.
authors.affiliation: Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. joe.zhu@well.ox.ac.uk.
authors.forename: Sha
authors.initials: S
authors.lastname: Zhu
authors.affiliation: Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, USA. jamdeg@unm.edu.
authors.forename: James H
authors.initials: JH
authors.lastname: Degnan
authors.affiliation: Department of Biology, University of Canterbury, Christchurch, New Zealand. sharyn.goldstien@canterbury.ac.nz.
authors.forename: Sharyn J
authors.initials: SJ
authors.lastname: Goldstien
authors.affiliation: Institut für Mathematik, Technische Universität Berlin, Berlin, Germany. eldon@math.tu-berlin.de.
authors.forename: Bjarki
authors.initials: B
authors.lastname: Eldon
mesh_terms: D005787:Gene Frequency; D005789:Genealogy and Heraldry; D049810:Genetic Speciation; D005828:Genetics, Population; D006801:Humans; D008957:Models, Genetic; D011110:Polymorphism, Genetic; D011156:Population Density; D012984:Software