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