Table of Contents

MIGRATE


MIGRATE
documentation


Version 3.2.6 (13. October 2010)
Migrate estimates population parameters, effective population sizes and migration rates of n populations, using genetic data. It uses a coalescent theory approach taking into account history of mutations and uncertainty of the genealogy. The estimates of the parameter values are achieved by either a Maximum likelihood (ML-approach or Bayesian inference (BI)).

Program information

Data type handled

Input Files

Syntax:


enzyme electrophoretic data or microsatellite data would look like this:

<Number of populations> <number of loci> {delimiter between alleles} [project title 0-79]
<Number of individuals> <title for population 0-79>
<Individual 1 10-10> <data>
<Individual 2 10-10> <data>
....
<Number of individuals> <title for population 0-79>
<Individuum 1 10-10> <data>
<Individuum 2 10-10> <data>
....


sequences or SNPs

SNPs in HapMap format:

Examples

Enzyme electrophoretic data (infinite allele model)

Microsatellite data

Sequence data

Symbol Meaning
A Adenine
G Guanine
C Cytosine
T Thymine
U Uracil
Y pYrimidine (C or T)
R puRine (A or G)
W ”Weak” (A or T)
S ”Strong” (C or G)
K ”Keto” (T or G)
M ”aMino” (C or A)
B not A (C or G or T)
D not C (A or G or T)
H not G (A or C or T)
V not T (A or C or G)
X,N,? unknown (A or C or G or T)
O deletion
- deletion

examples:

SNP data

How to cite

Beerli, P. (2009) How to use migrate or why are markov chain monte carlo programs dicult to use? In G. Bertorelle, M. W. Bruford, H. C. Hau e, A. Rizzoli, and C. Vernesi, editors, Population Genetics for Animal Conservation, volume 17 of Conservation Biology, pages 42-79. Cambridge University Press, Cambridge UK, 2009.