Edward Susko

A New Information Theoretic Approach Shows that Mixture Models Outperform Partition Models for Phylogenetic Analyses of Amino Acid Data

The paper compares mixture and partition models for phylogenetic analyses using the mAIC and finds mixture models consistently outperform partition models.

PartitionFinder-mAIC: Phylogenetic Partitioning using Marginal Akaike Information Criterion

PartitionFinder-mAIC improves phylogenetic partitioning by using marginal AIC, resulting in fewer partitions and better inference of green plant evolution.

GTRspmix: Capturing Heterogeneity of Exchangeabilities Across Sites to Improve Protein Phylogenetics

GTRspmix improves protein phylogenetics by incorporating multiple exchangeability matrices into mixture models, enhancing fit and reducing long-branch attraction artifacts.

Modeling site-and-branch-heterogeneity with GFmix

The paper improves the GFmix model to better handle site-and-branch compositional heterogeneity in phylogenetic inference, showing improved accuracy in tree estimation.

A robustly rooted tree of eukaryotes reveals their excavate ancestry.

This study estimates the root of the eukaryote Tree of Life using mitochondrial proteins, finding it between Opimoda+ and Diphoda+ supergroups.

GTRpmix: A linked general-time reversible model for profile mixture models

The paper introduces GTRpmix, a model for profile mixture models that improves exchangeability matrix estimation for site-heterogeneous data, enhancing phylogenetic accuracy.