QuCo: quartet-based co-estimation of species trees and gene trees
Author(s) -
Maryam Rabiee,
Siavash Mirarab
Publication year - 2022
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btac265
Subject(s) - phylogenomics , tree (set theory) , coalescent theory , scalability , computer science , network topology , benchmark (surveying) , heuristic , phylogenetic tree , algorithm , mathematics , biology , artificial intelligence , gene , combinatorics , clade , genetics , geodesy , database , operating system , geography
Phylogenomics faces a dilemma: on the one hand, most accurate species and gene tree estimation methods are those that co-estimate them; on the other hand, these co-estimation methods do not scale to moderately large numbers of species. The summary-based methods, which first infer gene trees independently and then combine them, are much more scalable but are prone to gene tree estimation error, which is inevitable when inferring trees from limited-length data. Gene tree estimation error is not just random noise and can create biases such as long-branch attraction.
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