Close
Help




JOURNAL

Evolutionary Bioinformatics

380,256 Journal Article Views | Journal Analytics

CoMET: A Mesquite package for comparing models of continuous character evolution on phylogenies

Submit a Paper



Publication Date: 07 Feb 2007

Journal: Evolutionary Bioinformatics

Citation: Evolutionary Bioinformatics 2006:2 183-186

Chunghau Lee1, Sigal Blay3, Arne Ø. Mooers3, Ambuj Singh1, Todd H. Oakley2,4

1Department of Computer Science; 2Department of Ecology Evolution and Marine Biology, University of California, Santa Barbara, CA 93106 USA. 3Department of Biological Sciences and IRMACS, 8888 University Drive, Simon Fraser University, Burnaby, BC V5A 1S6 Canada.

Abstract: Continuously varying traits such as body size or gene expression level evolve during the history of species or gene lineages. To test hypotheses about the evolution of such traits, the maximum likelihood (ML) method is often used. Here we introduce CoMET (Continuous-character Model Evaluation and Testing), which is module for Mesquite that automates likelihood computations for nine different models of trait evolution. Due to its few restrictions on input data, CoMET is applicable to testing a wide range of character evolution hypotheses. The CoMET homepage, which links to freely available software and more detailed usage instructions, is located at http://www.lifesci.ucsb.edu/eemb/labs/oakley/software/comet.htm.


Downloads

PDF  (597.25 KB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

BibTex citation   (BIBDESK, LATEX)

XML






What Your Colleagues Say About Evolutionary Bioinformatics
The team at Evolutionary Bioinformatics were fantastic in everyway. They were very accessible and helped with all aspects of getting the paper published in a timely fashion.  The immediate online help option available through the website is a great option.
Dr Laura Boykin (Lincoln University, Lincoln, New Zealand)
More Testimonials

Quick Links


New article and journal news notification services