Modeling Site Heterogeneity with Posterior Mean Site Frequency Profiles Accelerates Accurate Phylogenomic Estimation

By Huai-chun Wang, Bui Quang Minh, E. Susko, Andrew J. Roger. Systematic Biology, 2018

436 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/9ea531161a95765ab88b45405d54010904d312d6

How researchers see this paper

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

In Artificial Intelligence

1. N. de Maio
2. Andrew J. Roger
3. Matthew W. Brown
4. Le Sy Vinh
5. Fabien Burki
6. A. Simpson

In Genetics

1. Le Sy Vinh
2. Robert Lanfear

In Molecular Biology

1. Le Sy Vinh
2. Robert Lanfear
3. Mario dos Reis

Citations in the corpus

• The New Tree of Eukaryotes. (2019, methodology): “Recently, practical ML implementations of site-heterogeneous models have become available in IQ-Tree [103,104].”
• IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era (2019, neutral): “site frequency models (Wang et al. 2018), and heterotachy”
• IQ-TREE 3: phylogenomic inference software using complex evolutionary models (2026, positive): “In particular, such models help to avoid artefacts such as long-branch attraction (Felsenstein 1978; Wang et al. 2018; Leuchtenberger et al. 2020), which can be exacerbated with simpler models.”