ASTER: A Package for Large-Scale Phylogenomic Reconstructions
Many algorithms are available for inferring species trees from various input types while accounting for gene tree discordance. Several quartet-based species tree inference methods, collectively known as the ASTRAL family, are based on similar ideas and are in wide use. Here, we integrate all ASTRAL-like methods into a single package called ASTER, comprising several tools, each designed for a different input type: (i) ASTRAL for single-copy gene tree topologies, (ii) weighted ASTRAL (wASTRAL) for single-copy gene tees with branch length and/or support, (iii) ASTRAL-Pro for multi-copy gene tree topologies, (iv) CASTER for multiple sequence alignments, including genome alignments, and (v) WASTER for short-reads and assembled genomes. These tools collectively enhance the scalability, accuracy, and versatility of species tree inference.
Authors
- Chao Zhang (ORCID: https://orcid.org/0000-0002-4222-9968)
- Siavash Mirarab (ORCID: https://orcid.org/0000-0001-5410-1518)
- Rasmus Nielsen (ORCID: https://orcid.org/0000-0003-0513-6591)
Institutions
- University of California San Diego (US)
- Geocenter Denmark (DK)
- University of California, Berkeley (US)
Publication Details
- Journal
- Molecular Biology and Evolution
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1093/molbev/msaf172
- Citations
- 25
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 20.15
Funders
- National Science Foundation
- Villum Fonden
- National Institutes of Health