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CoMET: A Mesquite package for comparing models of continuous character evolution on phylogenies
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 Te...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Libertas Academica
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674664/ https://www.ncbi.nlm.nih.gov/pubmed/19455211 |
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author | Lee, Chunghau Blay, Sigal Mooers, Arne Ø. Singh, Ambuj Oakley, Todd H. |
author_facet | Lee, Chunghau Blay, Sigal Mooers, Arne Ø. Singh, Ambuj Oakley, Todd H. |
author_sort | Lee, Chunghau |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2674664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-26746642009-05-19 CoMET: A Mesquite package for comparing models of continuous character evolution on phylogenies Lee, Chunghau Blay, Sigal Mooers, Arne Ø. Singh, Ambuj Oakley, Todd H. Evol Bioinform Online Original Research 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. Libertas Academica 2007-02-07 /pmc/articles/PMC2674664/ /pubmed/19455211 Text en Copyright © 2006 The authors. http://creativecommons.org/licenses/by/3.0 This article is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0. (http://creativecommons.org/licenses/by/3.0) |
spellingShingle | Original Research Lee, Chunghau Blay, Sigal Mooers, Arne Ø. Singh, Ambuj Oakley, Todd H. CoMET: A Mesquite package for comparing models of continuous character evolution on phylogenies |
title | CoMET: A Mesquite package for comparing models of continuous character evolution on phylogenies |
title_full | CoMET: A Mesquite package for comparing models of continuous character evolution on phylogenies |
title_fullStr | CoMET: A Mesquite package for comparing models of continuous character evolution on phylogenies |
title_full_unstemmed | CoMET: A Mesquite package for comparing models of continuous character evolution on phylogenies |
title_short | CoMET: A Mesquite package for comparing models of continuous character evolution on phylogenies |
title_sort | comet: a mesquite package for comparing models of continuous character evolution on phylogenies |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674664/ https://www.ncbi.nlm.nih.gov/pubmed/19455211 |
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