GEIGER: investigating evolutionary radiations

Luke J Harmon; Jason T Weir; Chad D Brock; Richard E Glor; Wendell Challenger

doi:10.1093/bioinformatics/btm538

GEIGER: investigating evolutionary radiations

Bioinformatics. 2008 Jan 1;24(1):129-31. doi: 10.1093/bioinformatics/btm538. Epub 2007 Nov 15.

Authors

Luke J Harmon¹, Jason T Weir, Chad D Brock, Richard E Glor, Wendell Challenger

Affiliation

¹ Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA. lukeh@uidaho.edu

PMID: 18006550
DOI: 10.1093/bioinformatics/btm538

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/.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Algorithms
Animals
Biological Evolution*
Chromosome Mapping / methods*
Computer Graphics*
Computer Simulation
Genetics, Population*
Humans
Models, Genetic*
Software*
User-Computer Interface*