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Bioinformatics Advance Access originally published online on November 15, 2007
Bioinformatics 2008 24(1):129-131; doi:10.1093/bioinformatics/btm538
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© The Author 2007. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

GEIGER: investigating evolutionary radiations

Luke J. Harmon 1,2,*, Jason T. Weir 3, Chad D. Brock 4, Richard E. Glor 5 and Wendell Challenger 6

1Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA, 2Biodiversity Research Centre, 3Department of Zoology, University of British Columbia, Vancouver, BC, V6T1Z4, Canada 4IGERT Program in Evolutionary Modeling, Washington State University, Pullman, WA 99163, 5Department of Biology, University of Rochester, Rochester, NY 14627, USA and 6Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC, V5A1S6, Canada

*To whom correspondence should be addressed.


  Abstract

Summary: GEIGER is a new software package, written in the R language, to describe evolutionary radiations. GEIGER can carry out simulations, parameter estimation and statistical hypothesis testing. Additionally, GEIGER's simulation algorithms can be used to analyze the statistical power of comparative approaches.

Availability: This open source software is written entirely in the R language and is freely available through the Comprehensive R Archive Network (CRAN) at http://cran.r-project.org/.

Contact: lukeh{at}uidaho.edu

Associate Editor: Keith Crandall

Received on May 31, 2007; revised on September 18, 2007; accepted on October 21, 2007

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