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Updated: Feb 19, 2026

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Efficient comparative phylogenetics on large trees.

Stilianos Louca^1,2, Michael Doebeli^1,2,3

¹Biodiversity Research Centre, University of British Columbia, Vancouver, BC, V6T1Z4, Canada.

Bioinformatics (Oxford, England)

|November 2, 2017

Summary

This summary is machine-generated.

A new R package, castor, dramatically speeds up comparative phylogenetics for large biodiversity datasets. This tool enables analysis of massive phylogenetic trees, overcoming limitations of existing software.

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Area of Science:

Phylogenetics
Biodiversity Informatics
Computational Biology

Background:

Biodiversity databases contain millions of sequences and trait records, enabling phylogenetic analyses.
Existing comparative phylogenetic tools struggle to scale with the increasing size of these datasets.
Analysis of large phylogenetic trees is crucial for understanding trait evolution and ancestral biodiversity.

Purpose of the Study:

To introduce 'castor', a novel R package designed for comparative phylogenetics on large phylogenetic trees.
To provide a scalable and efficient solution for analyzing massive biodiversity data.

Main Methods:

Development of a new R package named 'castor'.
Implementation of algorithms optimized for performance on large phylogenetic trees.
Testing and benchmarking against existing comparative phylogenetic tools.

Main Results:

The 'castor' package offers significant speed improvements, often 100-1000 times faster than existing tools on large trees.
Enables previously intractable analyses of phylogenetic trait distribution and ancestral biodiversity reconstruction.

Conclusions:

'castor' provides a powerful and efficient solution for comparative phylogenetics on large-scale biodiversity data.
Facilitates advanced evolutionary and biodiversity research by overcoming computational limitations.