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Bioinformatics Advance Access published online on August 12, 2007
Bioinformatics, doi:10.1093/bioinformatics/btm391
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© The Author (2007). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

pIPHULA – Parallel Inference of Population Parameters Using a Likelihood Approach

Heiko A. Schmidt a,b,c,d, Arndt von Haeseler a,b,c,d and Jutta Buschbom e,*

aCenter for Integrative Bioinformatics Vienna (CIBIV), Max F. Perutz Laboratories (MFPL), Vienna, Austria; bUniversity of Vienna, cMedical University Vienna, dUniversity of Veterinary Medicine Vienna, Austria; eDepartment of Bioinformatics, Institute for Computer Sciences, Heinrich-Heine-University Department of Bioinformatics, Institute for Computer Sciences, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany

To whom correspondence should be addressed. Arndt von Haeseler, E-mail: arndt.von.haeseler{at}univie.ac.at


  Abstract

Summary: pIPHULA is the parallel program to estimate the parameters of a realistic model of population growth.

Availability: pIPHULA (http://www.cibiv.at/software/piphula) is written in ISO C, parallel and sequential executables run on UNIX/Linux, Windows and MacOS systems. For (free) MPI libraries see http://en.wikipedia.org/wiki/Message\_Passing\_Interface

Supplementary information: Supplementary material is available at Bioinformatics online.

Contact: arndt.von.haeseler{at}univie.ac.at

Associate Editor: Prof. Martin Bishop

*Current address: Federal Research Centre for Forestry and Forest Products, Institute of Forest Genetics and Forest Plant Breeding, Großhansdorf, Germany

Received on June 20, 2007; revised on July 8, 2007; accepted on July 27, 2007

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