treePL: divergence time estimation using penalized likelihood for large phylogenies

By Stephen A. Smith, Brian C. O'Meara. Bioinform., 2012

720 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology, Paleontology

View Paper: https://www.semanticscholar.org/paper/930cfcc9498ac0ef28eeaf300a70a78d45bf4a7f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Michael Suleski
2. S. Blair Hedges
3. Sudhir Kumar
4. Julie Marin
5. J. González-Gallegos
6. Jay B. Walked
7. B. Drew
8. Chun‐Lei Xiang

In Molecular Biology

1. Michael Suleski
2. S. Blair Hedges
3. Sudhir Kumar
4. Julie Marin
5. J. González-Gallegos
6. Jay B. Walked
7. B. Drew
8. Chun‐Lei Xiang

In Paleontology

1. S. Blair Hedges
2. J. González-Gallegos
3. Jay B. Walked
4. Sudhir Kumar
5. B. Drew
6. Chun‐Lei Xiang
7. Michael Suleski
8. Julie Marin

Citations in the corpus

• Salvia united: The greatest good for the greatest number (2017, methodology): “For divergence time estimation we used the RAxML ML tree as an input for treePL (Smith & O’Meara, 2012).”
• Tree of Life Reveals Clock-Like Speciation and Diversification (2014, methodology): “The most common approach for constructing a large timetree using a sequence alignment or super alignment is possible (Smith and O’Meara 2012; Tamura et al. 2012), but not generally practical because of data matrix sparseness.”