LAMARC 2.0: maximum likelihood and Bayesian estimation of population parameters

Bioinformatics. 2006 Mar 15;22(6):768-70. doi: 10.1093/bioinformatics/btk051. Epub 2006 Jan 12.


We present a Markov chain Monte Carlo coalescent genealogy sampler, LAMARC 2.0, which estimates population genetic parameters from genetic data. LAMARC can co-estimate subpopulation Theta = 4N(e)mu, immigration rates, subpopulation exponential growth rates and overall recombination rate, or a user-specified subset of these parameters. It can perform either maximum-likelihood or Bayesian analysis, and accomodates nucleotide sequence, SNP, microsatellite or elecrophoretic data, with resolved or unresolved haplotypes. It is available as portable source code and executables for all three major platforms.

Availability: LAMARC 2.0 is freely available at

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Bayes Theorem
  • Biological Evolution*
  • Chromosome Mapping / methods*
  • Computer Simulation
  • DNA Mutational Analysis / methods*
  • Genetic Variation / genetics
  • Genetics, Population / methods*
  • Likelihood Functions
  • Models, Genetic*
  • Models, Statistical
  • Software*