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Cited by 2,470

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GEIGER: investigating evolutionary radiations

Harmon, Luke J., Weir, Jason T., Brock, Chad D., Glor, Richard E., Challenger, Wendell·2008·Bioinformatics
DOI 10.1093/bioinformatics/btm538
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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@uidaho.edu

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Research works printed but not linked: 14

  1. Bortolussi, 2006, apTreeshape: statistical analysis of phylogenetic tree shape, Bioinformatics, 22, 363, 10.1093/bioinformatics/bti798 · DOI
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  7. Nee, 2001, Inferring speciation rates from phylogenies, Evolution, 55, 661, 10.1554/0014-3820(2001)055[0661:ISRFP]2.0.CO;2 · DOI
  8. O'Meara, 2006, Testing for different rates of continuous trait evolution, Evolution, 60, 922
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Metadata

Authors
Harmon, L. J., Weir, J. T., Brock, C. D., Glor, R. E., & Challenger, W.
Venue
Bioinformatics
Publisher
Oxford University Press (OUP)
Published
2007-11-15
Volume
24
Issue
1
Pages
129-131
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
DOI
10.1093/bioinformatics/btm538
OpenAlex
W2117368100
Cited by
2,470
References
2
FWCI
9.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: GEIGER: investigating evolutionary radiations. https://app.cochat.ai/papers/10.1093/bioinformatics/btm538
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Harmon, L. J., Weir, J. T., Brock, C. D., Glor, R. E., & Challenger, W. (2008). GEIGER: investigating evolutionary radiations. Bioinformatics. https://doi.org/10.1093/bioinformatics/btm538

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