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node.dating: dating ancestors in phylogenetic trees in R
Bradley R Jones1,2, Art F Y Poon2,3,4
1Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada.
Bioinformatics (Oxford, England)
|April 3, 2017
Summary
This study introduces node.dating, R software for phylogenetic divergence-time analysis. It estimates ancestral dates using a maximum-likelihood method on phylogenetic trees.
Area of Science:
- Evolutionary biology
- Computational biology
- Bioinformatics
Background:
- Phylogenetic trees represent evolutionary distances between species.
- These distances can be used to estimate divergence times, identifying the most recent ancestors.
- Accurate divergence-time estimation is crucial for understanding evolutionary history.
Purpose of the Study:
- To present node.dating, a novel R program for phylogenetic divergence-time analysis.
- To provide a user-friendly tool for estimating the dates of internal nodes in phylogenetic trees.
- To implement a maximum-likelihood method for robust divergence-time estimations.
Main Methods:
- The study utilizes a maximum-likelihood approach for divergence-time estimation.
- The node.dating software is implemented within the R programming environment.
- The method operates on existing phylogenetic tree structures.
Main Results:
- The node.dating software effectively estimates divergence times for internal nodes of phylogenetic trees.
- The program provides a reliable method for rescaling evolutionary distances over time.
- Supplementary software and tests are available to validate the method's performance.
Conclusions:
- node.dating offers a valuable tool for researchers in evolutionary biology and phylogenetics.
- The software facilitates more accurate estimations of ancestral divergence times.
- Its implementation in R ensures accessibility and integration with other bioinformatics tools.