Partition 2.0 / PartitionML / PartitionView – maximum likelihood / Identifying Population Sub-division & Assigning Individuals to Populations

Partition 2.0 / PartitionML / PartitionView


Partition is a model-based statistical software package for identifying population sub-division and assigning individuals to populations, on the basis of their genotypes at co-dominant marker loci. The underlying population genetic model is appropriate for out-crossing diploid organisms.


PartitionML is a program that searches for the best possible partition of a sample into independent panmictic clusters and simultaneously assign individuals to them using a maximum likelihood (ML) criterion.

PartitionView will read the  partition output file, as it is being written, and will display the path of the Markov chain (see below) as it evolves in real time.


Partition team



  • Windows


 Partition  / PartitionML



Heredity (Edinb). 2009 Jul;103(1):32-45. doi: 10.1038/hdy.2009.29. Epub 2009 Apr 1.
An agglomerative hierarchical approach to visualization in Bayesian clustering problems.
Dawson KJ1, Belkhir K.

Heredity (Edinb). 2002 Jul;89(1):27-35.
Heterozygote deficiencies in small lacustrine populations of brook charr Salvelinus Fontinalis Mitchill (Pisces, Salmonidae): a test of alternative hypotheses.
Castric V1, Bernatchez L, Belkhir K, Bonhomme F.

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