Data from: INSTRAL: discordance-aware phylogenetic placement using quartet scores
Rabiee, Maryam; Mirarab, Siavash (2019), Data from: INSTRAL: discordance-aware phylogenetic placement using quartet scores, Dryad, Dataset, https://doi.org/10.5061/dryad.cs59t13
Phylogenomic analyses have increasingly adopted species tree reconstruction using methods that account for gene tree discordance using pipelines that require both human effort and computational resources. As the number of available genomes continues to increase, a new problem is facing researchers. Once more species become available, they have to repeat the whole process from the beginning because updating species trees is currently not possible. However, the de novo inference can be prohibitively costly in human effort or machine time. In this paper, we introduce INSTRAL, a method that extends ASTRAL to enable phylogenetic placement. INSTRAL is designed to place a new species on an existing species tree after sequences from the new species have already been added to gene trees; thus, INSTRAL is complementary to existing placement methods that update gene trees.
National Science Foundation, Award: 1565862