ASTRAL: genome-scale coalescent-based species tree estimation
University of Southern California · The University of Texas at Austin
Abstract
MOTIVATION: Species trees provide insight into basic biology, including the mechanisms of evolution and how it modifies biomolecular function and structure, biodiversity and co-evolution between genes and species. Yet, gene trees often differ from species trees, creating challenges to species tree estimation. One of the most frequent causes for conflicting topologies between gene trees and species trees is incomplete lineage sorting (ILS), which is modelled by the multi-species coalescent. While many methods have been developed to estimate species trees from multiple genes, some which have statistical guarantees under the multi-species coalescent model, existing methods are too computationally intensive for…
Citation impact
- FWCI
- 36.85
- Percentile
- 100%
- References
- 38
Authors
6- SMSiavash MirarabCorresponding
University of Southern California, The University of Texas at Austin
- RRRezwana Reaz
University of Southern California, The University of Texas at Austin
- MSMd. Shamsuzzoha Bayzid
University of Southern California, The University of Texas at Austin
- TZThéo Zimmermann
University of Southern California, The University of Texas at Austin
- MSM. Shel Swenson
University of Southern California, The University of Texas at Austin
Topics & keywords
- Coalescent theory
- Tree (set theory)
- Genome
- Population
- Computational biology
- Concatenation (mathematics)
- Scale (ratio)
- Computer science