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Center for Integrative Bioinformatics Vienna
Max F. Perutz Laboratories
Dr. Bohr Gasse 9
A-1030 Vienna, Austria

(p)IPHULA - (parallel) Inference of Population History Using a Likelihood Approach

Introduction:

(p)IPHULA is a software that investigates parameters of population history based on a Monte Carlo simulation using the maximum likelihood framework.

Further details on how to compile, install, run, and use this program can be found in the (p)IPHULA manual (PDF).

Reference:

The method is described in detail in the following documents:
  • There is a paper in press on the current implementation and parallelization of the (p)IPHULA software:
    H.A. Schmidt, A. von Haeseler, and J. Buschbom (2007) pIPHULA - Parallel Inference of Population Parameters Using a Likelihood Approach. Bioinformatics, 23, accepted.
  • The method is described in detail in the following article:
    G. Weiss and A. von Haeseler (1998) Inference of Population History Using a Likelihood Approach. Genetics, 149, 1539-1546. (Genetics abstract page, PMID: 9649540)
  • There is an extensive (p)IPHULA manual (PDF).

Download (p)IPHULA:

  • iphula-1.16.tar.gz (tar format)
  • binary versions for Linux, MaxOSX, and Windows will be released soon


Printable version of: http://www.cibiv.at/software/piphula/index.html

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