Skip Navigation


Bioinformatics Advance Access originally published online on November 15, 2007
Bioinformatics 2008 24(1):129-131; doi:10.1093/bioinformatics/btm538
This Article
Right arrow Full Text
Right arrow Full Text (Print PDF)
Right arrow All Versions of this Article:
24/1/129    most recent
btm538v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Harmon, L. J.
Right arrow Articles by Challenger, W.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Harmon, L. J.
Right arrow Articles by Challenger, W.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 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

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.