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Cited by 845

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treePL: divergence time estimation using penalized likelihood for large phylogenies

Open access
Smith, Stephen A., O’Meara, Brian C.·2012·Bioinformatics

Abstract

Summary: Ever larger phylogenies are being constructed due to the explosion of genetic data and development of high-performance phylogenetic reconstruction algorithms. However, most methods for calculating divergence times are limited to datasets that are orders of magnitude smaller than recently published large phylogenies. Here, we present an algorithm and implementation of a divergence time method using penalized likelihood that can handle datasets of thousands of taxa. We implement a method that combines the standard derivative-based optimization with a stochastic simulated annealing approach to overcome optimization challenges. We compare this approach with existing software including r8s, PATHd8 and BEAST. Availability: Source code, example files, binaries and documentation for treePL are available at https://github.com/blackrim/treePL. Contact: eebsmith@umich.edu Supplementary information: Supplementary data are available at Bioinformatics online.

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Metadata

Authors
Smith, S. A., & O’Meara, B. C.
Venue
Bioinformatics
Published
2012-08-20
Volume
28
Issue
20
Pages
2689-2690
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2141906447
Cited by
845
References
2
FWCI
3.25
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: treePL: divergence time estimation using penalized likelihood for large phylogenies. https://app.cochat.ai/papers/10.1093/bioinformatics/bts492
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Smith, S. A., & O’Meara, B. C. (2012). treePL: divergence time estimation using penalized likelihood for large phylogenies. Bioinformatics. https://doi.org/10.1093/bioinformatics/bts492

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