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Bioinformatics Advance Access originally published online on August 12, 2007
Bioinformatics 2007 23(19):2636-2637; 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 1,2,3,4, Arndt von Haeseler 1,2,3,4,* and Jutta Buschbom 5,{dagger}

1Center for Integrative Bioinformatics Vienna (CIBIV), Max F. Perutz Laboratories (MFPL), 2University of Vienna, 3Medical University Vienna, 4University of Veterinary Medicine, Vienna, Austria and 5Department of Bioinformatics, Institute for Computer Sciences, Heinrich-Heine-University Düsseldorf, Germany

*To whom correspondence should be addressed.


  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.

Contact: heiko.schmidt{at}univie.ac.at or ha.schmidt{at}web.de

Supplementary information: Supplementary data are available at Bioinformatics online.

{dagger}Present address: Federal Research Centre for Forestry and Forest Products, Institute of Forest Genetics and Forest Plant Breeding, Großhansdorf, Germany.

Associate Editor: Martin Bishop

Received on June 20, 2006; revised on July 8, 2007; accepted on July 27, 2007

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