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

Partition 2.0 / PartitionML / PartitionView

:: DESCRIPTION

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.

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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.

::DEVELOPER

Partition team

:: SCREENSHOTS

Partition

PartitionView

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

 Partition  / PartitionML

:: MORE INFORMATION

Citation

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.