(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
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